diff --git a/cmake/external/xpu.cmake b/cmake/external/xpu.cmake index 8a927d8e282a03e8a74c0814ee8d9b247451a091..07fe7d245ef57814d704d11be6f6fe45cf514b2d 100644 --- a/cmake/external/xpu.cmake +++ b/cmake/external/xpu.cmake @@ -4,7 +4,7 @@ endif() INCLUDE(ExternalProject) SET(XPU_PROJECT "extern_xpu") -SET(XPU_URL "https://kunlun1.su.bcebos.com/xpu.tar.gz" CACHE STRING "" FORCE) +SET(XPU_URL "https://baidu-kunlun-public.su.bcebos.com/paddle_depence/xpu.tar.gz" CACHE STRING "" FORCE) SET(XPU_SOURCE_DIR "${THIRD_PARTY_PATH}/xpu") SET(XPU_DOWNLOAD_DIR "${XPU_SOURCE_DIR}/src/${XPU_PROJECT}") SET(XPU_INSTALL_DIR "${THIRD_PARTY_PATH}/install/xpu") diff --git a/cmake/generic.cmake b/cmake/generic.cmake index b0a6dfe29020781e57d57861137861366864abdb..a23862653677d6d92f244503ac3bd95c101e91bf 100644 --- a/cmake/generic.cmake +++ b/cmake/generic.cmake @@ -446,6 +446,9 @@ function(nv_library TARGET_NAME) message(FATAL "Please specify source file or library in nv_library.") endif() endif(nv_library_SRCS) + if (WIN32) + set_target_properties(${TARGET_NAME} PROPERTIES VS_USER_PROPS ${WIN_PROPS}) + endif(WIN32) endif() endfunction(nv_library) @@ -461,6 +464,9 @@ function(nv_binary TARGET_NAME) add_dependencies(${TARGET_NAME} ${nv_binary_DEPS}) common_link(${TARGET_NAME}) endif() + if (WIN32) + set_target_properties(${TARGET_NAME} PROPERTIES VS_USER_PROPS ${WIN_PROPS}) + endif(WIN32) endif() endfunction(nv_binary) @@ -482,6 +488,9 @@ function(nv_test TARGET_NAME) set_property(TEST ${TARGET_NAME} PROPERTY ENVIRONMENT FLAGS_cpu_deterministic=true) set_property(TEST ${TARGET_NAME} PROPERTY ENVIRONMENT FLAGS_init_allocated_mem=true) set_property(TEST ${TARGET_NAME} PROPERTY ENVIRONMENT FLAGS_cudnn_deterministic=true) + if (WIN32) + set_target_properties(${TARGET_NAME} PROPERTIES VS_USER_PROPS ${WIN_PROPS}) + endif(WIN32) endif() endfunction(nv_test) @@ -712,6 +721,7 @@ function(proto_library TARGET_NAME) set(proto_hdrs) paddle_protobuf_generate_cpp(proto_srcs proto_hdrs ${proto_library_SRCS}) cc_library(${TARGET_NAME} SRCS ${proto_srcs} DEPS ${proto_library_DEPS} protobuf) + add_dependencies(extern_xxhash ${TARGET_NAME}) endfunction() function(py_proto_compile TARGET_NAME) diff --git a/cmake/inference_lib.cmake b/cmake/inference_lib.cmake index f19f0eb43d34bd0f3748d7beb1fcf403fa1c9037..f4603051a0e7e9f206d5344fd948f7750a09c173 100644 --- a/cmake/inference_lib.cmake +++ b/cmake/inference_lib.cmake @@ -19,9 +19,8 @@ set(PADDLE_INSTALL_DIR "${CMAKE_BINARY_DIR}/paddle_install_dir" CACHE STRING set(PADDLE_INFERENCE_INSTALL_DIR "${CMAKE_BINARY_DIR}/paddle_inference_install_dir" CACHE STRING "A path setting paddle inference shared and static libraries") -# TODO(zhaolong) -# At present, the size of static lib in Windows exceeds the system limit, -# so the generation of static lib is temporarily turned off. +# At present, the size of static lib in Windows is very large, +# so we need to crop the library size. if(WIN32) #todo: remove the option option(WITH_STATIC_LIB "Compile demo with static/shared library, default use dynamic." OFF) @@ -196,7 +195,11 @@ set(PADDLE_INFERENCE_C_INSTALL_DIR "${CMAKE_BINARY_DIR}/paddle_inference_c_insta copy_part_of_thrid_party(inference_lib_dist ${PADDLE_INFERENCE_C_INSTALL_DIR}) set(src_dir "${PADDLE_SOURCE_DIR}/paddle/fluid") -set(paddle_fluid_c_lib ${PADDLE_BINARY_DIR}/paddle/fluid/inference/capi/libpaddle_fluid_c.*) +if(WIN32) + set(paddle_fluid_c_lib ${PADDLE_BINARY_DIR}/paddle/fluid/inference/capi/${CMAKE_BUILD_TYPE}/paddle_fluid_c.*) +else(WIN32) + set(paddle_fluid_c_lib ${PADDLE_BINARY_DIR}/paddle/fluid/inference/capi/libpaddle_fluid_c.*) +endif(WIN32) copy(inference_lib_dist SRCS ${src_dir}/inference/capi/paddle_c_api.h ${paddle_fluid_c_lib} diff --git a/cmake/init.cmake b/cmake/init.cmake index 7dfe60f9dd8f021facba6925a465cb58bc5de25d..902dfb11fc0afa40ea5bd2b36543b2432a3bf384 100644 --- a/cmake/init.cmake +++ b/cmake/init.cmake @@ -26,4 +26,7 @@ if(WITH_GPU) set(CMAKE_CUDA_FLAGS_MINSIZEREL "-O1 -DNDEBUG") endif() +if(WIN32) + set(WIN_PROPS ${CMAKE_SOURCE_DIR}/cmake/paddle_win.props) +endif() diff --git a/cmake/operators.cmake b/cmake/operators.cmake index 21080fbe8fd2e14cf7fd805e01948f2f28535c22..7aa2766763ce9441b0e4de969930af50fb7a55e0 100644 --- a/cmake/operators.cmake +++ b/cmake/operators.cmake @@ -62,9 +62,9 @@ function(op_library TARGET) endif() endif() if(WITH_XPU) - string(REPLACE "_op" "_xpu_op" XPU_FILE "${TARGET}") - if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/xpu/${XPU_FILE}.cc) - list(APPEND xpu_cc_srcs xpu/${XPU_FILE}.cc) + string(REPLACE "_op" "_op_xpu" XPU_FILE "${TARGET}") + if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${XPU_FILE}.cc) + list(APPEND xpu_cc_srcs ${XPU_FILE}.cc) endif() endif() else() @@ -83,7 +83,7 @@ function(op_library TARGET) list(APPEND mkldnn_cc_srcs ${src}) elseif(${src} MATCHES ".*\\.cu.cc$") list(APPEND cu_cc_srcs ${src}) - elseif(WITH_XPU AND ${src} MATCHES ".*_xpu_op.cc$") + elseif(WITH_XPU AND ${src} MATCHES ".*_op_xpu.cc$") list(APPEND xpu_cc_srcs ${src}) elseif(${src} MATCHES ".*\\.cc$") list(APPEND cc_srcs ${src}) diff --git a/cmake/paddle_win.props b/cmake/paddle_win.props new file mode 100644 index 0000000000000000000000000000000000000000..7e434c6d907cc40733a81d8a7cdbe7c285a2bd41 --- /dev/null +++ b/cmake/paddle_win.props @@ -0,0 +1,91 @@ + + + + + + true + false + true + false + false + InheritFromHost + InheritFromHost + InheritFromHost + InheritFromHost + InheritFromHost + + -ccbin "%(VCBinDir)" -x cu [GenerateRelocatableDeviceCode] [Include] [RequiredIncludes] [InterleaveSourceInPTX] [GPUDebugInfo] [GenerateLineInfo] [Keep] [KeepDir] [MaxRegCount] [PtxAsOptionV] [TargetMachinePlatform] [NvccCompilation] [CudaRuntime] [AdditionalOptions] + --use-local-env + [CodeGeneration] + -clean + + -Xcompiler "/EHsc [Warning] /nologo [Optimization] [ProgramDataBaseFileName] $(CudaForceSynchronousPdbWrites) [RuntimeChecks] [Runtime] [TypeInfo]" + + %(BaseCommandLineTemplate) [CompileOut] "%(FullPath)" + %(BaseCommandLineTemplate) [HostDebugInfo] [Emulation] [FastMath] [Defines] %(HostCommandLineTemplate) [CompileOut] "%(FullPath)" + + +# (Approximate command-line. Settings inherited from host are not visible below.) +# (Please see the output window after a build for the full command-line) + +# Driver API (NVCC Compilation Type is .cubin, .gpu, or .ptx) +set CUDAFE_FLAGS=--sdk_dir "$(WindowsSdkDir)" +"$(CudaToolkitNvccPath)" %(BuildCommandLineTemplate) %(DriverApiCommandLineTemplate) + +# Runtime API (NVCC Compilation Type is hybrid object or .c file) +set CUDAFE_FLAGS=--sdk_dir "$(WindowsSdkDir)" +"$(CudaToolkitNvccPath)" %(BuildCommandLineTemplate) %(RuntimeApiCommandLineTemplate) + + Compiling CUDA source file %(Identity)... + Skipping CUDA source file %(Identity) (excluded from build). + + + %(Filename)%(Extension).cache + $(IntDir)%(PropsCacheOutputFile) + + $(MSBuildProjectFullPath) + + + + true + $(IntDir)$(TargetName).device-link.obj + + + true + + true + + InheritFromProject + InheritFromProject + + + + + + + + + + + + + -Xcompiler "/EHsc [Warning] /nologo [Optimization] [RuntimeChecks] [Runtime] [TypeInfo]" + "$(CudaToolkitNvccPath)" -dlink [LinkOut] %(HostCommandLineTemplate) [AdditionalLibraryDirectories] [AdditionalDependencies] [AdditionalOptions] [CodeGeneration] [GPUDebugInfo] [TargetMachinePlatform] [Inputs] + +# (Approximate command-line. Settings inherited from host are not visible below.) +# (Please see the output window after a build for the full command-line) + +%(LinkCommandLineTemplate) + + + + + %(AdditionalLibraryDirectories);$(CudaToolkitLibDir) + + + + %(AdditionalIncludeDirectories);$(CudaToolkitIncludeDir) + + + + diff --git a/cmake/third_party.cmake b/cmake/third_party.cmake index 9edfcb967abc26a25a94d368298c1c475295019f..1eb2096af91dc99ac22b000d2de269bde2efcbbf 100644 --- a/cmake/third_party.cmake +++ b/cmake/third_party.cmake @@ -39,6 +39,7 @@ set(third_party_deps) # REPOSITORY ${TARGET_REPOSITORY} # TAG ${TARGET_TAG} # DIR ${TARGET_SOURCE_DIR}) + FUNCTION(cache_third_party TARGET) SET(options "") SET(oneValueArgs URL REPOSITORY TAG DIR) @@ -269,6 +270,10 @@ if(WITH_PSLIB) endif() endif(WITH_PSLIB) +if(NOT WIN32 AND NOT APPLE) + include(external/gloo) + list(APPEND third_party_deps extern_gloo) +endif() if(WITH_BOX_PS) include(external/box_ps) @@ -276,10 +281,6 @@ if(WITH_BOX_PS) endif(WITH_BOX_PS) if(WITH_DISTRIBUTE) - if(WITH_GLOO) - include(external/gloo) - list(APPEND third_party_deps extern_gloo) - endif() if(WITH_GRPC) list(APPEND third_party_deps extern_grpc) diff --git a/paddle/fluid/framework/attribute.cc b/paddle/fluid/framework/attribute.cc index 9ca3fe31a33c78621b9e25acaf095e8240af7db6..7460686c1a383531191377cf56ceefa6fbb26a5f 100644 --- a/paddle/fluid/framework/attribute.cc +++ b/paddle/fluid/framework/attribute.cc @@ -14,8 +14,6 @@ limitations under the License. */ #include "paddle/fluid/framework/attribute.h" -#include - namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/block_desc.h b/paddle/fluid/framework/block_desc.h index 5c6e421516269a9b9865605400efa772f944a96f..8c8fcadb05be080699fb6f7a6ab2ac3bc6328c09 100644 --- a/paddle/fluid/framework/block_desc.h +++ b/paddle/fluid/framework/block_desc.h @@ -30,6 +30,8 @@ namespace paddle { namespace framework { class ProgramDesc; +class OpDesc; +class VarDesc; // Each Protobuf Message, we provide a XXXBind class. In that class, we optimize // read/write speed. Only when we want the protobuf message, the local changes diff --git a/paddle/fluid/framework/c/c_api.cc b/paddle/fluid/framework/c/c_api.cc index 0dd2768ccb9ffa1dc7b85dca500095f8c10479c3..48181dac662272679556c444b3055fc950b8c74d 100644 --- a/paddle/fluid/framework/c/c_api.cc +++ b/paddle/fluid/framework/c/c_api.cc @@ -12,17 +12,7 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include -#include -#include -#include - -#include "paddle/fluid/framework/block_desc.h" #include "paddle/fluid/framework/c/c_api.h" -#include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/framework/program_desc.h" -#include "paddle/fluid/framework/scope.h" -#include "paddle/fluid/platform/init.h" extern "C" { diff --git a/paddle/fluid/framework/c/c_api.h b/paddle/fluid/framework/c/c_api.h index 04dbfbebe5d7646e93678fff3418c4eed6bc691a..a9ec402f381e43b51887b6467d8d1baccf98ad37 100644 --- a/paddle/fluid/framework/c/c_api.h +++ b/paddle/fluid/framework/c/c_api.h @@ -24,6 +24,15 @@ limitations under the License. */ #include "paddle/fluid/framework/op_info.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +class OpInfoMap; +} // namespace framework +namespace platform { +class DeviceContextPool; +} // namespace platform +} // namespace paddle + #ifdef __cplusplus extern "C" { #endif diff --git a/paddle/fluid/framework/channel.h b/paddle/fluid/framework/channel.h index 64a645bf8b28a84b153db74afd2ec268d79ff245..503f1513aad20c1598b034ef1fb90bd0aa1a0224 100644 --- a/paddle/fluid/framework/channel.h +++ b/paddle/fluid/framework/channel.h @@ -277,7 +277,7 @@ class ChannelObject { size_t finished = 0; while (finished < n && WaitForWrite(lock)) { size_t m = - std::min(n - finished, capacity_ + reading_count_ - data_.size()); + (std::min)(n - finished, capacity_ + reading_count_ - data_.size()); for (size_t i = 0; i < m; i++) { data_.push_back(std::move(p[finished++])); } diff --git a/paddle/fluid/framework/copy_same_tensor_test.cc b/paddle/fluid/framework/copy_same_tensor_test.cc index 9350c387a6e49122c6b4c3fe01f5de782a1ae5e4..5b89166e2f4826fe836c74a570abcb8a1790f58e 100644 --- a/paddle/fluid/framework/copy_same_tensor_test.cc +++ b/paddle/fluid/framework/copy_same_tensor_test.cc @@ -12,8 +12,8 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include #include + #include "gflags/gflags.h" #include "gtest/gtest.h" #include "paddle/fluid/framework/tensor.h" diff --git a/paddle/fluid/framework/data_device_transform.h b/paddle/fluid/framework/data_device_transform.h index 8ff97646cfce7979b1c9c570e6de4f1bd26916c3..60b52a5e7069fb8fdd0664bcfa99eaa000dbff12 100644 --- a/paddle/fluid/framework/data_device_transform.h +++ b/paddle/fluid/framework/data_device_transform.h @@ -21,6 +21,8 @@ limitations under the License. */ namespace paddle { namespace framework { +class Tensor; + void TransDataDevice(const Tensor& in, const platform::Place& dst_place, Tensor* out); diff --git a/paddle/fluid/framework/data_feed.h b/paddle/fluid/framework/data_feed.h index b48d152fe35826363a77104a5cbe39ad800b5eb1..da156bfc5c79f6faf7544794675c40dfd10e7349 100644 --- a/paddle/fluid/framework/data_feed.h +++ b/paddle/fluid/framework/data_feed.h @@ -41,6 +41,15 @@ limitations under the License. */ #include "paddle/fluid/framework/variable.h" #include "paddle/fluid/string/string_helper.h" +namespace paddle { +namespace framework { +class DataFeedDesc; +class LoDTensor; +class Scope; +class Variable; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { @@ -418,6 +427,7 @@ class MultiSlotType { std::string DebugString() { std::stringstream ss; + ss << "\ntype: " << type_ << "\n"; ss << "offset: "; ss << "["; diff --git a/paddle/fluid/framework/data_feed_factory.cc b/paddle/fluid/framework/data_feed_factory.cc index 1d8aec7624043f96c5aae908c5faa536e818b5a5..048d539f9b9e5039b7b3b5ec2ae672032f89be48 100644 --- a/paddle/fluid/framework/data_feed_factory.cc +++ b/paddle/fluid/framework/data_feed_factory.cc @@ -17,10 +17,10 @@ limitations under the License. */ #include #include -#include "paddle/fluid/framework/data_feed.h" - namespace paddle { namespace framework { +class DataFeed; + typedef std::shared_ptr (*Createdata_feedFunction)(); typedef std::unordered_map data_feedMap; data_feedMap g_data_feed_map; diff --git a/paddle/fluid/framework/data_feed_factory.h b/paddle/fluid/framework/data_feed_factory.h index 13678edb0b8d084a0b3016d93f6e1bc32ce0169a..49381a98706ddedb9bb0b5900fcb85ac4d4a3719 100644 --- a/paddle/fluid/framework/data_feed_factory.h +++ b/paddle/fluid/framework/data_feed_factory.h @@ -16,10 +16,13 @@ limitations under the License. */ #include #include + #include "paddle/fluid/framework/data_feed.h" namespace paddle { namespace framework { +class DataFeed; + class DataFeedFactory { public: static std::string DataFeedTypeList(); diff --git a/paddle/fluid/framework/data_layout_transform.cc b/paddle/fluid/framework/data_layout_transform.cc index f757e244e38ec965d62d673e63ed082ca70c63c7..108cd9ac6d1c0778b7f614116b5739502fcfb0ee 100644 --- a/paddle/fluid/framework/data_layout_transform.cc +++ b/paddle/fluid/framework/data_layout_transform.cc @@ -13,8 +13,8 @@ // limitations under the License. #include "paddle/fluid/framework/data_layout_transform.h" + #include -#include #include "paddle/fluid/operators/math/math_function.h" #ifdef PADDLE_WITH_MKLDNN diff --git a/paddle/fluid/framework/data_layout_transform.h b/paddle/fluid/framework/data_layout_transform.h index b92c47c2eb018603e1b3156921fb2c1702864c57..238f2d2e67914c7ae1443d09cf915439ebad4dd5 100644 --- a/paddle/fluid/framework/data_layout_transform.h +++ b/paddle/fluid/framework/data_layout_transform.h @@ -17,10 +17,18 @@ #include #include #include + #include "paddle/fluid/framework/op_kernel_type.h" #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/framework/variable.h" +namespace paddle { +namespace framework { +class OpKernelType; +class Tensor; +} // namespace framework +} // namespace paddle + #ifdef PADDLE_WITH_MKLDNN #include "paddle/fluid/platform/mkldnn_helper.h" #endif diff --git a/paddle/fluid/framework/data_layout_transform_test.cc b/paddle/fluid/framework/data_layout_transform_test.cc index 8dfad23db65178c46140b887811846e413bebd00..20443e9a3dcad62770e62d9a780960bf3db43111 100644 --- a/paddle/fluid/framework/data_layout_transform_test.cc +++ b/paddle/fluid/framework/data_layout_transform_test.cc @@ -15,7 +15,6 @@ #include "paddle/fluid/framework/data_layout_transform.h" #include "gtest/gtest.h" -#include "paddle/fluid/platform/device_context.h" TEST(DataTransform, DataLayoutFunction) { auto place = paddle::platform::CPUPlace(); diff --git a/paddle/fluid/framework/data_transform.cc b/paddle/fluid/framework/data_transform.cc index f54311eebfade312057224ddda075c03fdc0666d..3a40de6988f294314f83ba0308e9d57de84d60f7 100644 --- a/paddle/fluid/framework/data_transform.cc +++ b/paddle/fluid/framework/data_transform.cc @@ -18,8 +18,13 @@ limitations under the License. */ #include "paddle/fluid/framework/data_layout_transform.h" #include "paddle/fluid/framework/data_type_transform.h" +namespace paddle { +namespace framework { +class Variable; +} // namespace framework +} // namespace paddle + #ifdef PADDLE_WITH_MKLDNN -#include #include "paddle/fluid/platform/mkldnn_helper.h" #endif diff --git a/paddle/fluid/framework/data_transform.h b/paddle/fluid/framework/data_transform.h index ef2271d530d5f2c915467a08c00dae433284c663..2bbdac52ee49fd23bb036b4475f2310787a6ae14 100644 --- a/paddle/fluid/framework/data_transform.h +++ b/paddle/fluid/framework/data_transform.h @@ -30,6 +30,10 @@ limitations under the License. */ namespace paddle { namespace framework { +class OpKernelType; +class Tensor; +class Variable; + void TransformData(const OpKernelType &expected_kernel_type, const OpKernelType &kernel_type_for_var, const Tensor &input_tensor, Tensor *out); diff --git a/paddle/fluid/framework/data_type.cc b/paddle/fluid/framework/data_type.cc index 8188d5cde1b90436d040e8b9dcc1070ac85bf319..e4be866dca13585465610a3aff8bd7a4d54dd9c5 100644 --- a/paddle/fluid/framework/data_type.cc +++ b/paddle/fluid/framework/data_type.cc @@ -13,7 +13,6 @@ // limitations under the License. #include "paddle/fluid/framework/data_type.h" -#include #include #include diff --git a/paddle/fluid/framework/data_type.h b/paddle/fluid/framework/data_type.h index 720e422e114835f367317d4ba265254856885c15..4477a9cac09d8f060d6b8f2f7d5bf4dfd7b3f893 100644 --- a/paddle/fluid/framework/data_type.h +++ b/paddle/fluid/framework/data_type.h @@ -15,12 +15,19 @@ limitations under the License. */ #pragma once #include #include -#include "paddle/fluid/framework/framework.pb.h" -#include "paddle/fluid/platform/enforce.h" +#include "paddle/fluid/framework/framework.pb.h" #include "paddle/fluid/platform/bfloat16.h" +#include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/float16.h" +namespace paddle { +namespace platform { +struct bfloat16; +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/data_type_test.cc b/paddle/fluid/framework/data_type_test.cc index 331596da33acc151810cd616ea6d5bdcae333b30..5599edcd222ba4748ae4b88a668d79530a1681d0 100644 --- a/paddle/fluid/framework/data_type_test.cc +++ b/paddle/fluid/framework/data_type_test.cc @@ -14,9 +14,17 @@ #include "paddle/fluid/framework/data_type.h" #include + #include "gtest/gtest.h" #include "paddle/fluid/framework/tensor.h" +namespace paddle { +namespace platform { +struct bfloat16; +struct float16; +} // namespace platform +} // namespace paddle + TEST(DataType, float16) { using paddle::framework::Tensor; using paddle::platform::CPUPlace; diff --git a/paddle/fluid/framework/data_type_transform.h b/paddle/fluid/framework/data_type_transform.h index 1c281b03ed61ac70e16a43d75a79854bdafd8836..b42b2f594aa7f36aeaff97d4b66d5924ba8ac60b 100644 --- a/paddle/fluid/framework/data_type_transform.h +++ b/paddle/fluid/framework/data_type_transform.h @@ -15,6 +15,7 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/framework/op_kernel_type.h" #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/framework/variable.h" @@ -23,6 +24,9 @@ limitations under the License. */ namespace paddle { namespace framework { +class OpKernelType; +class Tensor; + using KernelTypePair = std::pair; void TransDataType(const OpKernelType& kernel_type_for_var, diff --git a/paddle/fluid/framework/dataset_factory.cc b/paddle/fluid/framework/dataset_factory.cc index 3a28c101d48342ef639956a974d59aee8ae42ed6..cdb513f70ad94861a1ba0cb6e90d72ace40213bb 100644 --- a/paddle/fluid/framework/dataset_factory.cc +++ b/paddle/fluid/framework/dataset_factory.cc @@ -13,12 +13,9 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/dataset_factory.h" -#include #include #include -#include "paddle/fluid/framework/data_set.h" - namespace paddle { namespace framework { typedef std::unique_ptr (*CreateDatasetFunction)(); diff --git a/paddle/fluid/framework/dataset_factory.h b/paddle/fluid/framework/dataset_factory.h index d4a36cec22fc0af27a38ee7cd810a2eaa7988ea1..425c488daa8689eb2faa56891c7d5c80d666fcf2 100644 --- a/paddle/fluid/framework/dataset_factory.h +++ b/paddle/fluid/framework/dataset_factory.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include + #include "paddle/fluid/framework/data_set.h" namespace paddle { diff --git a/paddle/fluid/framework/ddim.h b/paddle/fluid/framework/ddim.h index 29c4732f99118fe42f08317625ec07edf52ec217..e69fb4e761939d8e1ea490563c5921af1a30b7ef 100644 --- a/paddle/fluid/framework/ddim.h +++ b/paddle/fluid/framework/ddim.h @@ -18,6 +18,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/dim.h" namespace paddle { diff --git a/paddle/fluid/framework/ddim_test.cc b/paddle/fluid/framework/ddim_test.cc index b7b42fa019f6b2243719ebdb1628ea83c220abf9..e89f77ae496c499b7408d4e0836c2abe5cff9660 100644 --- a/paddle/fluid/framework/ddim_test.cc +++ b/paddle/fluid/framework/ddim_test.cc @@ -12,7 +12,6 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #include -#include #include "gtest/gtest.h" #include "paddle/fluid/framework/ddim.h" diff --git a/paddle/fluid/framework/details/all_reduce_op_handle.cc b/paddle/fluid/framework/details/all_reduce_op_handle.cc index 939a2fc8fc9c73472ff5c25633610fa70c7cec6d..78887f3ac5195893ca304ea97d5bf4218c5952f8 100644 --- a/paddle/fluid/framework/details/all_reduce_op_handle.cc +++ b/paddle/fluid/framework/details/all_reduce_op_handle.cc @@ -76,7 +76,7 @@ void AllReduceOpHandle::AllReduceImpl( platform::errors::InvalidArgument( "The NoDummyInputSize should be equal " "to the number of places, but got NoDummyInputSize is " - "%d and the number of place is %d.", + "%d and the number of places is %d.", in_var_handles.size(), num_places)); PADDLE_ENFORCE_EQ( in_var_handles.size(), out_var_handles.size(), @@ -89,7 +89,7 @@ void AllReduceOpHandle::AllReduceImpl( platform::errors::InvalidArgument( "The number of local scopes should be equal " "to the number of places, but got the number of local scopes is " - "%d and the number of place is %d.", + "%d and the number of places is %d.", in_var_handles.size(), num_places)); std::vector lod_tensor_data; diff --git a/paddle/fluid/framework/details/all_reduce_op_handle.h b/paddle/fluid/framework/details/all_reduce_op_handle.h index 36f5d3adfadfbb2bef12145042db104f9ee4c1e3..e0064ec264223cafff3c6b93bfde841799ee7c3a 100644 --- a/paddle/fluid/framework/details/all_reduce_op_handle.h +++ b/paddle/fluid/framework/details/all_reduce_op_handle.h @@ -20,6 +20,17 @@ #include "paddle/fluid/framework/details/op_handle_base.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/scope.h" + +namespace paddle { +namespace framework { +namespace ir { +class Node; +} // namespace ir +} // namespace framework +namespace platform { +class NCCLCommunicator; +} // namespace platform +} // namespace paddle #if defined(PADDLE_WITH_NCCL) #include "paddle/fluid/framework/details/nccl_op_handle.h" #include "paddle/fluid/platform/nccl_helper.h" diff --git a/paddle/fluid/framework/details/broadcast_op_handle.cc b/paddle/fluid/framework/details/broadcast_op_handle.cc index 4c3b0a7c6a44ca0d304113e57ebb3be9e1a7de27..35b106606740556481cd98ce76955e953f7e0ee7 100644 --- a/paddle/fluid/framework/details/broadcast_op_handle.cc +++ b/paddle/fluid/framework/details/broadcast_op_handle.cc @@ -13,6 +13,7 @@ // limitations under the License. #include "paddle/fluid/framework/details/broadcast_op_handle.h" + #include "paddle/fluid/framework/details/container_cast.h" #include "paddle/fluid/framework/details/variable_visitor.h" #include "paddle/fluid/platform/profiler.h" @@ -31,10 +32,15 @@ void BroadcastOpHandle::RunImpl() { auto out_var_handles = DynamicCast(outputs_); PADDLE_ENFORCE_EQ(in_var_handles.size(), 1UL, - "The number of input should be one."); - PADDLE_ENFORCE_EQ( - out_var_handles.size(), places_.size(), - "The number of output should equal to the number of places."); + platform::errors::PreconditionNotMet( + "The number of inputs should be 1, but got %d.", + in_var_handles.size())); + PADDLE_ENFORCE_EQ(out_var_handles.size(), places_.size(), + platform::errors::PreconditionNotMet( + "The number of outputs and the number of places should " + "be equal, but got the number of outputs is %d and the " + "number of places is %d.", + out_var_handles.size(), places_.size())); VarHandle *in_var_handle = in_var_handles[0]; @@ -47,7 +53,9 @@ void BroadcastOpHandle::BroadcastOneVar( const std::vector &var_scopes) { auto *in_var = var_scopes.at(in_var_handle.scope_idx())->FindVar(in_var_handle.name()); - PADDLE_ENFORCE_NOT_NULL(in_var); + PADDLE_ENFORCE_NOT_NULL( + in_var, platform::errors::NotFound("Variable %s is not found in scopes.", + in_var_handle.name())); Tensor &in_tensor = VariableVisitor::GetMutableTensor(in_var); if (UNLIKELY(!in_tensor.IsInitialized())) { VLOG(3) << "in var " << in_var_handle.name() << "not inited, return!"; @@ -103,7 +111,7 @@ void BroadcastOpHandle::BroadcastOneVar( broadcast_calls.emplace_back( [send_recv_buffer, numel, type, root_id, &nccl_ctx] { - PADDLE_ENFORCE(platform::dynload::ncclBcast( + PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclBcast( send_recv_buffer, numel, static_cast(type), root_id, nccl_ctx.comm_, nccl_ctx.stream())); }); @@ -131,7 +139,8 @@ void BroadcastOpHandle::BroadcastOneVar( nccl_ctxs_->DevCtx(p)->Wait(); } #else - PADDLE_THROW("CUDA is not enabled."); + PADDLE_THROW( + platform::errors::PreconditionNotMet("Not compiled with NCLL.")); #endif } } @@ -154,10 +163,13 @@ void BroadcastOpHandle::InitOutputValue( auto t_out_p = out_var_handle->place(); auto *out_var = var_scopes.at(out_var_handle->scope_idx()) ->FindVar(out_var_handle->name()); - PADDLE_ENFORCE_NOT_NULL(out_var); + PADDLE_ENFORCE_NOT_NULL(out_var, platform::errors::NotFound( + "Variable %s is not found in scopes.", + out_var_handle->name())); if (is_gpu_place(in_tensor.place())) { - PADDLE_ENFORCE(platform::is_gpu_place(t_out_p), - "Places of input and output must be all on GPU."); + PADDLE_ENFORCE_EQ(platform::is_gpu_place(t_out_p), true, + platform::errors::PreconditionNotMet( + "Places of input and output must be all on GPU.")); } else { t_out_p = platform::CPUPlace(); } diff --git a/paddle/fluid/framework/details/broadcast_op_handle.h b/paddle/fluid/framework/details/broadcast_op_handle.h index 588248d6454fbc1645b75ea2a8b8a3c662f1bbda..1412e2cd9dbb8319c5161fe5fdf0eda694d7dfea 100644 --- a/paddle/fluid/framework/details/broadcast_op_handle.h +++ b/paddle/fluid/framework/details/broadcast_op_handle.h @@ -24,6 +24,20 @@ #include "paddle/fluid/framework/selected_rows.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +namespace details { +struct VarHandle; +} // namespace details +namespace ir { +class Node; +} // namespace ir +} // namespace framework +namespace platform { +struct NCCLContextMap; +} // namespace platform +} // namespace paddle + #if defined(PADDLE_WITH_NCCL) #include "paddle/fluid/platform/nccl_helper.h" #endif diff --git a/paddle/fluid/framework/details/broadcast_op_handle_test.h b/paddle/fluid/framework/details/broadcast_op_handle_test.h index 6d14c7e4e7bf23c2140195b5fb3a104fd9f3bb59..4fdc420e1e0752ac3122d25db5ed1423bb47c69e 100644 --- a/paddle/fluid/framework/details/broadcast_op_handle_test.h +++ b/paddle/fluid/framework/details/broadcast_op_handle_test.h @@ -21,13 +21,15 @@ #include "gtest/gtest.h" #include "paddle/fluid/framework/details/broadcast_op_handle.h" - #include "paddle/fluid/platform/device_context.h" namespace paddle { namespace framework { namespace details { +struct DummyVarHandle; +struct VarHandle; + namespace f = paddle::framework; namespace p = paddle::platform; @@ -77,7 +79,8 @@ struct TestBroadcastOpHandle { } nccl_ctxs_.reset(new platform::NCCLContextMap(place_list_)); #else - PADDLE_THROW("CUDA is not support."); + PADDLE_THROW( + platform::errors::PreconditionNotMet("Not compiled with NCLL.")); #endif } else { int count = 8; @@ -111,7 +114,8 @@ struct TestBroadcastOpHandle { op_handle_ = new BroadcastOpHandle(nodes_.back().get(), local_scopes_, place_list_, nccl_ctxs_.get()); #else - PADDLE_THROW("CUDA is not support."); + PADDLE_THROW( + platform::errors::PreconditionNotMet("Not compiled with NCLL.")); #endif } else { #if defined(PADDLE_WITH_NCCL) @@ -169,7 +173,9 @@ struct TestBroadcastOpHandle { float val_scalar = 0.0) { auto var = param_scopes_[input_scope_idx]->FindVar(varname); - PADDLE_ENFORCE_NOT_NULL(var); + PADDLE_ENFORCE_NOT_NULL( + var, platform::errors::NotFound("Variable %s is not found in scope.", + varname)); auto lod_tensor = var->GetMutable(); std::vector send_vector(static_cast(f::product(kDims))); for (size_t k = 0; k < send_vector.size(); ++k) { @@ -192,7 +198,9 @@ struct TestBroadcastOpHandle { } auto var = param_scopes_[input_scope_idx]->FindVar(varname); - PADDLE_ENFORCE_NOT_NULL(var); + PADDLE_ENFORCE_NOT_NULL( + var, platform::errors::NotFound("Variable %s is not found in scope.", + varname)); auto selected_rows = var->GetMutable(); auto value = selected_rows->mutable_value(); value->mutable_data(kDims, place_list_[input_scope_idx]); @@ -209,13 +217,24 @@ struct TestBroadcastOpHandle { const std::vector& send_vector, const std::vector& rows, int height) { auto var = param_scopes_[input_scope_idx]->FindVar(varname); - PADDLE_ENFORCE_NOT_NULL(var); + PADDLE_ENFORCE_NOT_NULL( + var, platform::errors::NotFound("Variable %s is not found in scope.", + varname)); auto& selected_rows = var->Get(); auto rt = selected_rows.value(); - PADDLE_ENFORCE_EQ(selected_rows.height(), height, "height is not equal."); + PADDLE_ENFORCE_EQ(selected_rows.height(), height, + platform::errors::InvalidArgument( + "The height of SelectedRows is not equal to " + "the expected, expect %d, but got %ld.", + height, selected_rows.height())); for (size_t k = 0; k < selected_rows.rows().size(); ++k) { - PADDLE_ENFORCE_EQ(selected_rows.rows()[k], rows[k]); + PADDLE_ENFORCE_EQ( + selected_rows.rows()[k], rows[k], + platform::errors::InvalidArgument( + "The item at position %zu of rows of SelectedRows " + "is not equal to the expected, expect %ld, but got %ld.", + k, rows[k], selected_rows.rows()[k])); } p::CPUPlace cpu_place; @@ -233,9 +252,15 @@ struct TestBroadcastOpHandle { framework::Scope* scope) { p::CPUPlace cpu_place; auto var = scope->FindVar(varname); - PADDLE_ENFORCE_NOT_NULL(var); + PADDLE_ENFORCE_NOT_NULL( + var, platform::errors::NotFound("Variable %s is not found in scope.", + varname)); auto tensor = var->Get(); - PADDLE_ENFORCE_EQ(tensor.lod(), lod, "lod is not equal."); + PADDLE_ENFORCE_EQ(tensor.lod(), lod, + platform::errors::InvalidArgument( + "The LoD of tensor is not equal to " + "the expected, expect %s, but got %s.", + lod, tensor.lod())); f::Tensor result_tensor; f::TensorCopySync(tensor, cpu_place, &result_tensor); float* ct = result_tensor.mutable_data(cpu_place); diff --git a/paddle/fluid/framework/details/build_strategy.cc b/paddle/fluid/framework/details/build_strategy.cc index ecdb8cc9b8cdf38385f9bc6005bf6a889dfa7741..962f968c84ea46f0476feec70a5d3f53ba8b65ea 100644 --- a/paddle/fluid/framework/details/build_strategy.cc +++ b/paddle/fluid/framework/details/build_strategy.cc @@ -235,7 +235,8 @@ class ParallelExecutorPassBuilder : public ir::PassBuilder { AppendPass("reduce_mode_multi_devices_pass").get(); break; default: - PADDLE_THROW("Unknown reduce strategy."); + PADDLE_THROW( + platform::errors::Unimplemented("Unknown reduce strategy.")); } } multi_devices_pass->SetNotOwned("strategy", diff --git a/paddle/fluid/framework/details/build_strategy.h b/paddle/fluid/framework/details/build_strategy.h index 01d496d4ea7f7f0d0347b552e13d988fdc68e0c7..87b27eaa440cc4c546c5e5bfc38b01fc057d4991 100644 --- a/paddle/fluid/framework/details/build_strategy.h +++ b/paddle/fluid/framework/details/build_strategy.h @@ -27,6 +27,18 @@ #include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/enforce.h" +namespace paddle { +namespace framework { +namespace ir { +class Graph; +class PassBuilder; +} // namespace ir +} // namespace framework +namespace platform { +class NCCLCommunicator; +} // namespace platform +} // namespace paddle + #if defined(PADDLE_WITH_NCCL) #include "paddle/fluid/platform/nccl_helper.h" #endif diff --git a/paddle/fluid/framework/details/computation_op_handle.cc b/paddle/fluid/framework/details/computation_op_handle.cc index 0b653e57f6d48f9d919ee4f09db5b6ab6b2451b7..2256b826ed501f9974806d2ef20ef137d1ca0724 100644 --- a/paddle/fluid/framework/details/computation_op_handle.cc +++ b/paddle/fluid/framework/details/computation_op_handle.cc @@ -19,6 +19,8 @@ namespace paddle { namespace framework { namespace details { +struct VarHandleBase; + ComputationOpHandle::ComputationOpHandle(ir::Node *node, Scope *scope, platform::Place place, size_t scope_idx) diff --git a/paddle/fluid/framework/details/computation_op_handle.h b/paddle/fluid/framework/details/computation_op_handle.h index 41c51b95800f48afd25136d0521d0cfc4d2d8f6c..3c219ee27d3d6ed5e93e0d45acd457c84a77a38a 100644 --- a/paddle/fluid/framework/details/computation_op_handle.h +++ b/paddle/fluid/framework/details/computation_op_handle.h @@ -24,9 +24,21 @@ #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +class OperatorBase; +class Scope; +namespace ir { +class Node; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace details { +struct VarHandleBase; + class ComputationOpHandle : public OpHandleBase { public: ComputationOpHandle(ir::Node *node, Scope *scope, platform::Place place, diff --git a/paddle/fluid/framework/details/eager_deletion_op_handle.cc b/paddle/fluid/framework/details/eager_deletion_op_handle.cc index 7735f9720c109407249ea19f0e5e609a02cfd22e..266557cb8554ae310ae27046075cfcb35b05d9da 100644 --- a/paddle/fluid/framework/details/eager_deletion_op_handle.cc +++ b/paddle/fluid/framework/details/eager_deletion_op_handle.cc @@ -12,11 +12,12 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include "paddle/fluid/framework/details/eager_deletion_op_handle.h" + #include #include #include -#include "paddle/fluid/framework/details/eager_deletion_op_handle.h" #include "paddle/fluid/framework/ir/memory_optimize_pass/memory_optimization_var_info.h" #include "paddle/fluid/framework/lod_tensor_array.h" #include "paddle/fluid/framework/scope.h" @@ -47,15 +48,19 @@ EagerDeletionOpHandle::EagerDeletionOpHandle( if (dynamic_cast(gc_)) { platform::CUDADeviceGuard guard( BOOST_GET_CONST(platform::CUDAPlace, place).device); - PADDLE_ENFORCE(cudaEventCreateWithFlags(&event_, cudaEventDisableTiming)); - PADDLE_ENFORCE_NOT_NULL(event_); + PADDLE_ENFORCE_CUDA_SUCCESS( + cudaEventCreateWithFlags(&event_, cudaEventDisableTiming)); + PADDLE_ENFORCE_NOT_NULL(event_, platform::errors::InvalidArgument( + "The cuda envet created is NULL.")); } } #endif - PADDLE_ENFORCE_NE(vars.empty(), true, platform::errors::InvalidArgument( - "Variable names are empty.")); + PADDLE_ENFORCE_NE(vars.empty(), true, + platform::errors::InvalidArgument( + "The variables to be deleted are empty.")); for (auto *var : var_infos_) { - PADDLE_ENFORCE_NOT_NULL(var); + PADDLE_ENFORCE_NOT_NULL(var, platform::errors::InvalidArgument( + "The memory optimization info is NULL.")); } } @@ -64,7 +69,7 @@ EagerDeletionOpHandle::~EagerDeletionOpHandle() { if (event_) { auto gpu_place = BOOST_GET_CONST(platform::CUDAPlace, dev_ctx_->GetPlace()); platform::CUDADeviceGuard guard(gpu_place.device); - PADDLE_ENFORCE(cudaEventDestroy(event_)); + PADDLE_ENFORCE_CUDA_SUCCESS(cudaEventDestroy(event_)); } #endif } @@ -78,12 +83,17 @@ void EagerDeletionOpHandle::InitCUDA() { } void EagerDeletionOpHandle::CallOnce() { - PADDLE_ENFORCE(vars_.empty(), "vars_ must be initialized here"); + PADDLE_ENFORCE_EQ( + vars_.empty(), true, + platform::errors::InvalidArgument( + "The variables to be deleted should be initialized here.")); Scope *exec_scope = local_exec_scopes_[0]; for (auto *var_info : var_infos_) { auto *var = exec_scope->FindVar(var_info->Name()); - PADDLE_ENFORCE_NOT_NULL(var, "Variable %s should not be nullptr", - var_info->Name()); + PADDLE_ENFORCE_NOT_NULL( + var, platform::errors::NotFound( + "The variable(%s) to be inplaced is not found in scope.", + var_info->Name())); vars_.emplace_back(var); } } @@ -119,8 +129,9 @@ void EagerDeletionOpHandle::RunImpl() { garbages.emplace_back(t.MoveMemoryHolder()); } } else { - PADDLE_THROW("Type %s of %s is not supported eager deletion", - framework::ToTypeName(var->Type()), var_info->Name()); + PADDLE_THROW(platform::errors::Unimplemented( + "The variable(%s) of type %s is not supported in eager deletion.", + framework::ToTypeName(var->Type()), var_info->Name())); } } @@ -137,8 +148,9 @@ void EagerDeletionOpHandle::ClearGarbages( auto callback_stream = reinterpret_cast(gc_)->stream(); auto callback_func = [=]() { - PADDLE_ENFORCE(cudaEventRecord(event_, compute_stream)); - PADDLE_ENFORCE(cudaStreamWaitEvent(callback_stream, event_, 0)); + PADDLE_ENFORCE_CUDA_SUCCESS(cudaEventRecord(event_, compute_stream)); + PADDLE_ENFORCE_CUDA_SUCCESS( + cudaStreamWaitEvent(callback_stream, event_, 0)); }; gc_->Add(std::move(*garbages), callback_func); } else { diff --git a/paddle/fluid/framework/details/eager_deletion_op_handle.h b/paddle/fluid/framework/details/eager_deletion_op_handle.h index a048799a2807554f27ac54c400dc1bf8ae113e85..8edce6782de4aa7caeb7f324a375f568ea296c42 100644 --- a/paddle/fluid/framework/details/eager_deletion_op_handle.h +++ b/paddle/fluid/framework/details/eager_deletion_op_handle.h @@ -19,12 +19,23 @@ #include #include #include + #include "paddle/fluid/framework/details/op_handle_base.h" #include "paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.h" +namespace paddle { +namespace platform { +class CUDADeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { class Scope; +class GarbageCollector; +namespace ir { +class Node; +} // namespace ir namespace ir { class MemOptVarInfo; diff --git a/paddle/fluid/framework/details/exception_holder_test.cc b/paddle/fluid/framework/details/exception_holder_test.cc index c20563a08605086d6fd65506b5d0176bb8dce8bb..3db358667ebe9035b21babf8d9e873b7390dc3ea 100644 --- a/paddle/fluid/framework/details/exception_holder_test.cc +++ b/paddle/fluid/framework/details/exception_holder_test.cc @@ -13,8 +13,7 @@ // limitations under the License. #include "paddle/fluid/framework/details/exception_holder.h" -#include -#include + #include "gtest/gtest.h" #include "paddle/fluid/memory/allocation/allocator.h" diff --git a/paddle/fluid/framework/details/fetch_async_op_handle.cc b/paddle/fluid/framework/details/fetch_async_op_handle.cc index 6aae523365ed50e78a78b318ac0990490c801eb3..09aedafc6bb2e1cc0223a4bcb67b8814616da121 100644 --- a/paddle/fluid/framework/details/fetch_async_op_handle.cc +++ b/paddle/fluid/framework/details/fetch_async_op_handle.cc @@ -15,9 +15,14 @@ #include "paddle/fluid/framework/details/fetch_async_op_handle.h" #include #include -#include #include "paddle/fluid/platform/profiler.h" +namespace paddle { +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/details/fetch_async_op_handle.h b/paddle/fluid/framework/details/fetch_async_op_handle.h index 691a3286c270badad938610811cc6e73d63c2c04..ff9271942daa2b45fa5836ae0b0c94d23e5ebfef 100644 --- a/paddle/fluid/framework/details/fetch_async_op_handle.h +++ b/paddle/fluid/framework/details/fetch_async_op_handle.h @@ -22,6 +22,18 @@ #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +class LoDTensor; +namespace ir { +class Node; +} // namespace ir +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/details/fetch_barrier_op_handle.cc b/paddle/fluid/framework/details/fetch_barrier_op_handle.cc index 127183a32e938de57ce4f7cb5aed4e72f8f09682..fc836ade786dda556421b7623a93c31b0b08228d 100644 --- a/paddle/fluid/framework/details/fetch_barrier_op_handle.cc +++ b/paddle/fluid/framework/details/fetch_barrier_op_handle.cc @@ -19,6 +19,8 @@ namespace paddle { namespace framework { namespace details { +struct VarHandleBase; + FetchBarrierOpHandle::FetchBarrierOpHandle( ir::Node *node, const std::vector &local_scopes, const std::vector &places) diff --git a/paddle/fluid/framework/details/fetch_barrier_op_handle.h b/paddle/fluid/framework/details/fetch_barrier_op_handle.h index d1f7e08b28e7d8291c11bd61588c978f591060c2..7ce790f38e8cbb7ebb110dc3a01d9c1e22e73cfe 100644 --- a/paddle/fluid/framework/details/fetch_barrier_op_handle.h +++ b/paddle/fluid/framework/details/fetch_barrier_op_handle.h @@ -24,6 +24,15 @@ #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +class Scope; +namespace ir { +class Node; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace details { @@ -32,6 +41,8 @@ namespace details { // all places if there are multiple places, must init with // multiple dev_ctxes_ !!!! +struct VarHandleBase; + struct FetchBarrierOpHandle : public OpHandleBase { public: FetchBarrierOpHandle(ir::Node *node, const std::vector &local_scopes, diff --git a/paddle/fluid/framework/details/fetch_op_handle.h b/paddle/fluid/framework/details/fetch_op_handle.h index 31ffd1211d205ff943f5e65b95bddcfa76bcd05a..41deeb0af27f904c5ea892a2a42e3ab3cc3b7216 100644 --- a/paddle/fluid/framework/details/fetch_op_handle.h +++ b/paddle/fluid/framework/details/fetch_op_handle.h @@ -22,6 +22,17 @@ #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +namespace ir { +class Node; +} // namespace ir +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/details/fused_all_reduce_op_handle.cc b/paddle/fluid/framework/details/fused_all_reduce_op_handle.cc index c67e21d5c4728110a800d4fd0367ee33441ce3c7..c538811669924aae2e33a6c18d7b1eb1ca9268cb 100644 --- a/paddle/fluid/framework/details/fused_all_reduce_op_handle.cc +++ b/paddle/fluid/framework/details/fused_all_reduce_op_handle.cc @@ -12,8 +12,10 @@ // See the License for the specific language governing permissions and // limitations under the License. #include "paddle/fluid/framework/details/fused_all_reduce_op_handle.h" + #include #include + #include "paddle/fluid/framework/details/container_cast.h" #include "paddle/fluid/framework/details/reduce_and_gather.h" #include "paddle/fluid/framework/details/variable_visitor.h" @@ -56,10 +58,20 @@ void FusedAllReduceOpHandle::RunImpl() { size_t place_num = places_.size(); PADDLE_ENFORCE_EQ( in_var_handles.size(), place_num * num_of_all_reduce_, - "The NoDummyInputSize should be equal to the number of places."); + platform::errors::PreconditionNotMet( + "The number of input variable handles should be equal to the number " + "of places plus the number of all reduce handles, " + "but got the number of input variable handles is %d, the " + "number of places is %d, and the number of all reduce handles " + "is %d.", + in_var_handles.size(), place_num, num_of_all_reduce_)); PADDLE_ENFORCE_EQ( in_var_handles.size(), out_var_handles.size(), - "The NoDummyInputSize and NoDummyOutputSize should be equal."); + platform::errors::PreconditionNotMet( + "The number of input variable handles should be equal to the number " + "of output variable handles, but got the number of input variable " + "handles is %d, and the number of output variable handles is %d.", + in_var_handles.size(), out_var_handles.size())); // Note: some gradient op doesn't have CUDAKernel, so the gradients of // those op are in CPUPlace, in this case, the all reduce should not be fused. @@ -106,7 +118,13 @@ void FusedAllReduceOpHandle::FusedAllReduceFunc( dtype = ele_dtype; } - PADDLE_ENFORCE_EQ(ele_dtype, dtype); + PADDLE_ENFORCE_EQ( + ele_dtype, dtype, + platform::errors::InvalidArgument( + "The DataType of grad tensors of fused_all_reduce_op_handle " + "must be consistent. The current dtype is %s, but the " + "previous dtype is %s.", + DataTypeToString(ele_dtype), DataTypeToString(dtype))); // Check whether the address space is contiguous. std::sort( @@ -130,16 +148,29 @@ void FusedAllReduceOpHandle::FusedAllReduceFunc( "input[%d] address: 0X%02x. The offset: %d", k - 1, g_tensor.at(k - 1).first, cur_address, g_tensor.at(k).first, k, next_address, k, infer_next_address, offset); - PADDLE_ENFORCE_EQ(infer_next_address, next_address, - "The address is not consistent."); + PADDLE_ENFORCE_EQ( + infer_next_address, next_address, + platform::errors::InvalidArgument( + "The infered address of the next tensor should be equal to the " + "real address of the next tensor. But got infered address is %p " + "and real address is %p.", + infer_next_address, next_address)); } } if (!FLAGS_skip_fused_all_reduce_check) { for (size_t scope_idx = 0; scope_idx < place_num; ++scope_idx) { for (size_t j = 1; j < num_of_all_reduce_; ++j) { - PADDLE_ENFORCE_EQ(grads_tensor.at(0).at(j).first, - grads_tensor.at(scope_idx).at(j).first); + PADDLE_ENFORCE_EQ( + grads_tensor.at(0).at(j).first, + grads_tensor.at(scope_idx).at(j).first, + platform::errors::InvalidArgument( + "The variable name of grad tensors of " + "fused_all_reduce_op_handle " + "must be consistent. The current name is %s, but the " + "previous name is %s.", + grads_tensor.at(0).at(j).first, + grads_tensor.at(scope_idx).at(j).first)); } } } @@ -167,7 +198,9 @@ bool FusedAllReduceOpHandle::InputIsInDifferentPlace( for (size_t j = 0; j < in_var_handles.size(); j += place_num) { auto var_name = in_var_handles[j]->name(); auto var = local_scope->FindVar(var_name); - PADDLE_ENFORCE_NOT_NULL(var, "%s is not found in local scope.", var_name); + PADDLE_ENFORCE_NOT_NULL( + var, platform::errors::NotFound( + "The variable '%s' is not found in local scope.", var_name)); auto &lod_tensor = var->Get(); if (!is_same_place(lod_tensor.place(), places_.at(scope_idx))) { return true; @@ -185,14 +218,24 @@ void FusedAllReduceOpHandle::GetGradLoDTensor( size_t place_num = places_.size(); for (size_t j = 0; j < in_var_handles.size(); j += place_num) { auto var_name = in_var_handles[j]->name(); - PADDLE_ENFORCE_EQ(var_name, out_var_handles[j]->name()); + PADDLE_ENFORCE_EQ( + var_name, out_var_handles[j]->name(), + platform::errors::InvalidArgument( + "The name of input variable should be equal " + "to the name of output variable. But got the name of input " + "variable is %s and the name of output variable is %s.", + var_name, out_var_handles[j]->name())); auto var = local_scope->FindVar(var_name); - PADDLE_ENFORCE_NOT_NULL(var, "%s is not found in local scope.", var_name); + PADDLE_ENFORCE_NOT_NULL( + var, platform::errors::NotFound( + "The variable '%s' is not found in local scope.", var_name)); auto &lod_tensor = var->Get(); PADDLE_ENFORCE_EQ( platform::is_same_place(lod_tensor.place(), places_.at(scope_idx)), - true, "%s(%d) is not in the right place.", var_name, scope_idx); + true, platform::errors::InvalidArgument( + "The variable '%s' at scope %d is not in the right place.", + var_name, scope_idx)); grad_tensor->emplace_back(std::make_pair(var_name, &lod_tensor)); } } @@ -204,16 +247,26 @@ void FusedAllReduceOpHandle::GetDTypeAndNumel( size_t size_of_dtype = 0; for (size_t i = 0; i < grad_tensor.size(); ++i) { // Get dtype - auto ele_type = grad_tensor.at(i).second->type(); + auto ele_dtype = grad_tensor.at(i).second->type(); if (i == 0) { - *dtype = ele_type; - size_of_dtype = framework::SizeOfType(ele_type); + *dtype = ele_dtype; + size_of_dtype = framework::SizeOfType(ele_dtype); } - PADDLE_ENFORCE_EQ(ele_type, *dtype); + PADDLE_ENFORCE_EQ( + ele_dtype, *dtype, + platform::errors::InvalidArgument( + "The DataType of grad tensors of fused_all_reduce_op_handle " + "must be consistent. The current dtype is %s, but the " + "previous dtype is %s.", + DataTypeToString(ele_dtype), DataTypeToString(*dtype))); // Get element number int64_t len = grad_tensor.at(i).second->numel(); - PADDLE_ENFORCE_GT(len, 0); + PADDLE_ENFORCE_GT( + len, 0, platform::errors::InvalidArgument( + "The size of grad tensors of fused_all_reduce_op_handle " + "must be > 0, but got %d.", + len)); *numel += platform::Alignment(len * size_of_dtype, places_[0]) / size_of_dtype; } diff --git a/paddle/fluid/framework/details/fused_all_reduce_op_handle.h b/paddle/fluid/framework/details/fused_all_reduce_op_handle.h index 16c13ac1c03e340786c95ac11019abd8c6ff0ef9..9bed792a42fc797d0af396dcaf0423c7e06eafe4 100644 --- a/paddle/fluid/framework/details/fused_all_reduce_op_handle.h +++ b/paddle/fluid/framework/details/fused_all_reduce_op_handle.h @@ -17,10 +17,22 @@ #include #include #include + #include "paddle/fluid/framework/details/all_reduce_op_handle.h" #include "paddle/fluid/framework/details/op_handle_base.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/scope.h" + +namespace paddle { +namespace framework { +namespace ir { +class Node; +} // namespace ir +} // namespace framework +namespace platform { +class NCCLCommunicator; +} // namespace platform +} // namespace paddle #if defined(PADDLE_WITH_NCCL) #include "paddle/fluid/framework/details/nccl_op_handle.h" #include "paddle/fluid/platform/nccl_helper.h" diff --git a/paddle/fluid/framework/details/fused_broadcast_op_handle.cc b/paddle/fluid/framework/details/fused_broadcast_op_handle.cc index 59c5da0de8c114823a1cad3e6d65c92081b5a2b6..1ae09dcde9fc8e4a413f8876dd33d0ac53f181c3 100644 --- a/paddle/fluid/framework/details/fused_broadcast_op_handle.cc +++ b/paddle/fluid/framework/details/fused_broadcast_op_handle.cc @@ -13,6 +13,7 @@ // limitations under the License. #include "paddle/fluid/framework/details/fused_broadcast_op_handle.h" + #include "paddle/fluid/framework/details/container_cast.h" #include "paddle/fluid/framework/details/variable_visitor.h" #include "paddle/fluid/platform/profiler.h" @@ -32,7 +33,15 @@ void FusedBroadcastOpHandle::RunImpl() { WaitInputVarGenerated(); size_t place_num = places_.size(); - PADDLE_ENFORCE_EQ(in_var_handles.size() * place_num, out_var_handles.size()); + PADDLE_ENFORCE_EQ( + in_var_handles.size() * place_num, out_var_handles.size(), + platform::errors::PreconditionNotMet( + "The number of input variable handles plus the number " + "of places should be equal to the number of output variable handles, " + "but got the number of input variable handles is %d, the " + "number of places is %d, and the number of output variable handles " + "is %d.", + in_var_handles.size(), place_num, out_var_handles.size())); for (size_t i = 0; i < in_var_handles.size(); ++i) { BroadcastOneVar( diff --git a/paddle/fluid/framework/details/fused_broadcast_op_handle.h b/paddle/fluid/framework/details/fused_broadcast_op_handle.h index 8a59d2bfa9acd7b541d4049d2088b0162d7a6350..8fd3ec56d18b64fdd157fdcd820897f4a1f7fc2f 100644 --- a/paddle/fluid/framework/details/fused_broadcast_op_handle.h +++ b/paddle/fluid/framework/details/fused_broadcast_op_handle.h @@ -25,6 +25,17 @@ #include "paddle/fluid/framework/selected_rows.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +namespace ir { +class Node; +} // namespace ir +} // namespace framework +namespace platform { +struct NCCLContextMap; +} // namespace platform +} // namespace paddle + #if defined(PADDLE_WITH_NCCL) #include "paddle/fluid/platform/nccl_helper.h" #endif diff --git a/paddle/fluid/framework/details/fused_broadcast_op_handle_test.cc b/paddle/fluid/framework/details/fused_broadcast_op_handle_test.cc index cbded074f205f423ac20580047503b50af0f368d..ce7621d4e35a3f139047b543c4e77d805841e459 100644 --- a/paddle/fluid/framework/details/fused_broadcast_op_handle_test.cc +++ b/paddle/fluid/framework/details/fused_broadcast_op_handle_test.cc @@ -13,15 +13,26 @@ // limitations under the License. #include "paddle/fluid/framework/details/fused_broadcast_op_handle.h" + #include #include + #include "gtest/gtest.h" #include "paddle/fluid/framework/details/broadcast_op_handle_test.h" +#include "paddle/fluid/framework/details/op_handle_base.h" + +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +} // namespace paddle namespace paddle { namespace framework { namespace details { +struct VarHandle; + struct TestFusedBroadcastOpHandle : TestBroadcastOpHandle { std::vector out_varnames_; std::vector> nodes_; @@ -49,7 +60,8 @@ struct TestFusedBroadcastOpHandle : TestBroadcastOpHandle { op_handle_ = new FusedBroadcastOpHandle( nodes_.back().get(), local_scopes_, place_list_, nccl_ctxs_.get()); #else - PADDLE_THROW("CUDA is not supported."); + PADDLE_THROW( + platform::errors::PreconditionNotMet("Not compiled with CUDA.")); #endif } else { #if defined(PADDLE_WITH_NCCL) diff --git a/paddle/fluid/framework/details/gather_op_handle.cc b/paddle/fluid/framework/details/gather_op_handle.cc index a039c6200e394eebf6c44846ce2b0bf5d773e764..2d3b2fb39afbe7be680704e63e52d1951f3d8946 100644 --- a/paddle/fluid/framework/details/gather_op_handle.cc +++ b/paddle/fluid/framework/details/gather_op_handle.cc @@ -13,6 +13,7 @@ // limitations under the License. #include "paddle/fluid/framework/details/gather_op_handle.h" + #include "paddle/fluid/framework/details/container_cast.h" #include "paddle/fluid/framework/details/variable_visitor.h" @@ -32,13 +33,20 @@ void GatherOpHandle::RunImpl() { PADDLE_ENFORCE_EQ( in_var_handles.size(), places_.size(), - "The number of output should equal to the number of places."); + platform::errors::InvalidArgument( + "The number of input variables should be equal " + "to the number of places, but got the number of input variables is " + "%d and the number of places is %d.", + in_var_handles.size(), places_.size())); VarHandle *out_var_handle; { auto out_var_handles = DynamicCast(this->Outputs()); - PADDLE_ENFORCE_EQ(out_var_handles.size(), 1, - "The number of output should be one."); + PADDLE_ENFORCE_EQ( + out_var_handles.size(), 1, + platform::errors::InvalidArgument( + "The number of output variables should be 1, but got %d.", + out_var_handles.size())); out_var_handle = out_var_handles.front(); } @@ -47,10 +55,14 @@ void GatherOpHandle::RunImpl() { auto in_0_handle = in_var_handles[0]; auto pre_in_var = var_scopes.at(in_0_handle->scope_idx())->FindVar(in_0_handle->name()); - PADDLE_ENFORCE_NOT_NULL(pre_in_var); + PADDLE_ENFORCE_NOT_NULL( + pre_in_var, + platform::errors::NotFound("The variable '%s' is not found in the scope.", + in_0_handle->name())); - PADDLE_ENFORCE(pre_in_var->IsType(), - "Currently, gather_op only can gather SelectedRows."); + PADDLE_ENFORCE_EQ(pre_in_var->IsType(), true, + platform::errors::Unimplemented( + "Currently, gather_op only supports SelectedRows.")); // Wait input done, this Wait is asynchronous operation WaitInputVarGenerated(); @@ -63,7 +75,10 @@ void GatherOpHandle::RunImpl() { for (auto *in_handle : in_var_handles) { auto *in_var = var_scopes.at(in_handle->scope_idx())->FindVar(in_handle->name()); - PADDLE_ENFORCE_NOT_NULL(in_var); + PADDLE_ENFORCE_NOT_NULL( + in_var, + platform::errors::NotFound( + "The variable '%s' is not found in the scope.", in_handle->name())); VariableVisitor::EnforceShapeAndDTypeEQ(*in_var, *pre_in_var); auto &in_sr_value = in_var->Get(); @@ -76,15 +91,19 @@ void GatherOpHandle::RunImpl() { // NOTE: The Places of all input tensor must be all on CPU or all on GPU. platform::Place t_out_p = out_var_handle->place(); if (platform::is_gpu_place(pre_in_value.place())) { - PADDLE_ENFORCE(platform::is_gpu_place(t_out_p), - "Places of input and output must be all on GPU."); + PADDLE_ENFORCE_EQ(platform::is_gpu_place(t_out_p), true, + platform::errors::PreconditionNotMet( + "Places of input and output must be all on GPU.")); } else { t_out_p = platform::CPUPlace(); } auto out_var = var_scopes.at(out_var_handle->scope_idx()) ->FindVar(out_var_handle->name()); - PADDLE_ENFORCE_NOT_NULL(out_var); + PADDLE_ENFORCE_NOT_NULL( + out_var, + platform::errors::NotFound("The variable '%s' is not found in the scope.", + out_var_handle->name())); auto out_value = out_var->GetMutable(); out_value->set_height(pre_in_value.height()); out_value->set_rows(out_rows); diff --git a/paddle/fluid/framework/details/gather_op_handle.h b/paddle/fluid/framework/details/gather_op_handle.h index ac87b246b50f8e0df1d0cc082087d4128a79384b..9cbd94cd6b877b5392e31499720e61a0491acbe8 100644 --- a/paddle/fluid/framework/details/gather_op_handle.h +++ b/paddle/fluid/framework/details/gather_op_handle.h @@ -24,6 +24,14 @@ #include "paddle/fluid/framework/selected_rows.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +namespace ir { +class Node; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/details/gather_op_handle_test.cc b/paddle/fluid/framework/details/gather_op_handle_test.cc index 5d8562e7046fd2f1609ba34ce2dd71b9fa28be77..60c1d0d39a551fb1cec523109e76c309d11ea248 100644 --- a/paddle/fluid/framework/details/gather_op_handle_test.cc +++ b/paddle/fluid/framework/details/gather_op_handle_test.cc @@ -13,15 +13,17 @@ // limitations under the License. #include "paddle/fluid/framework/details/gather_op_handle.h" + #include #include -#include "gtest/gtest.h" -#include "paddle/fluid/platform/device_context.h" +#include "gtest/gtest.h" namespace paddle { namespace framework { namespace details { +struct DummyVarHandle; + namespace f = paddle::framework; namespace p = paddle::platform; @@ -60,7 +62,8 @@ struct TestGatherOpHandle { ctxs_.emplace_back(new p::CUDADeviceContext(p)); } #else - PADDLE_THROW("CUDA is not support."); + PADDLE_THROW( + platform::errors::PreconditionNotMet("Not compiled with CUDA.")); #endif } else { int count = 8; @@ -141,7 +144,9 @@ struct TestGatherOpHandle { for (size_t input_scope_idx = 0; input_scope_idx < gpu_list_.size(); ++input_scope_idx) { auto in_var = param_scopes_.at(input_scope_idx)->FindVar("input"); - PADDLE_ENFORCE_NOT_NULL(in_var); + PADDLE_ENFORCE_NOT_NULL( + in_var, platform::errors::NotFound( + "The variable '%s' is not found in the scope.", "input")); auto in_selected_rows = in_var->GetMutable(); auto value = in_selected_rows->mutable_value(); value->mutable_data(kDims, gpu_list_[input_scope_idx]); @@ -155,7 +160,9 @@ struct TestGatherOpHandle { } auto out_var = param_scopes_.at(output_scope_idx)->FindVar("out"); - PADDLE_ENFORCE_NOT_NULL(out_var); + PADDLE_ENFORCE_NOT_NULL( + out_var, platform::errors::NotFound( + "The variable '%s' is not found in the scope.", "out")); auto out_selected_rows = out_var->GetMutable(); auto in_var = param_scopes_.at(output_scope_idx)->FindVar("input"); @@ -173,9 +180,19 @@ struct TestGatherOpHandle { auto& out_select_rows = out_var->Get(); auto rt = out_select_rows.value(); - PADDLE_ENFORCE_EQ(out_select_rows.height(), height, "height is not equal."); + PADDLE_ENFORCE_EQ(out_select_rows.height(), height, + platform::errors::InvalidArgument( + "The height of SelectedRows is not equal to " + "the expected, expect %d, but got %d.", + height, out_select_rows.height())); + for (size_t k = 0; k < out_select_rows.rows().size(); ++k) { - PADDLE_ENFORCE_EQ(out_select_rows.rows()[k], rows[k % rows.size()]); + PADDLE_ENFORCE_EQ( + out_select_rows.rows()[k], rows[k % rows.size()], + platform::errors::InvalidArgument( + "The item at position %d of rows of SelectedRows is not equal to " + "the expected, expect %d, but got %d.", + k, rows[k % rows.size()], out_select_rows.rows()[k])); } f::Tensor result_tensor; @@ -207,6 +224,7 @@ TEST(GatherTester, TestGPUGatherTestSelectedRows) { test_op.TestGatherSelectedRows(input_scope_idx); } #endif + } // namespace details } // namespace framework } // namespace paddle diff --git a/paddle/fluid/framework/details/multi_devices_helper.h b/paddle/fluid/framework/details/multi_devices_helper.h index 21e781877a42754d215e48becb4bc7a1e6e2f262..c3a18433cf89d6241ca735e003c797535cc3b26c 100644 --- a/paddle/fluid/framework/details/multi_devices_helper.h +++ b/paddle/fluid/framework/details/multi_devices_helper.h @@ -20,16 +20,21 @@ #include #include #include + #include "paddle/fluid/framework/details/op_handle_base.h" #include "paddle/fluid/framework/details/var_handle.h" - +#include "paddle/fluid/framework/ir/graph.h" +#include "paddle/fluid/framework/ir/pass.h" #include "paddle/fluid/framework/op_desc.h" #include "paddle/fluid/framework/op_proto_maker.h" #include "paddle/fluid/framework/program_desc.h" #include "paddle/fluid/platform/place.h" -#include "paddle/fluid/framework/ir/graph.h" -#include "paddle/fluid/framework/ir/pass.h" +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +} // namespace paddle namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/details/nan_inf_utils_detail.h b/paddle/fluid/framework/details/nan_inf_utils_detail.h index 15d00932f1c448bf25d49469e0ca4d85ca6f1e1c..b4459e5a7c1cc6ad6faa9e19f39bff47fe128344 100644 --- a/paddle/fluid/framework/details/nan_inf_utils_detail.h +++ b/paddle/fluid/framework/details/nan_inf_utils_detail.h @@ -19,6 +19,12 @@ #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/platform/place.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/details/nccl_op_handle.h b/paddle/fluid/framework/details/nccl_op_handle.h index 2d4d4122a3c0f60e5e207556d20886985f72a30a..22a059773f513f1a4a3aef0d3ca9b603fcd30bf8 100644 --- a/paddle/fluid/framework/details/nccl_op_handle.h +++ b/paddle/fluid/framework/details/nccl_op_handle.h @@ -46,14 +46,17 @@ class NCCLOpHandleBase : public OpHandleBase { } virtual ~NCCLOpHandleBase() { for (auto& ev : inter_events_) { - PADDLE_ENFORCE(cudaEventDestroy(ev.second)); + PADDLE_ENFORCE_CUDA_SUCCESS(cudaEventDestroy(ev.second)); } for (auto& ev : exter_events_) { - PADDLE_ENFORCE(cudaEventDestroy(ev.second)); + PADDLE_ENFORCE_CUDA_SUCCESS(cudaEventDestroy(ev.second)); } } void SetRunEnv(int run_order, bool use_hierarchical_allreduce) { - PADDLE_ENFORCE(run_order >= 0, "run_order must >= 0"); + PADDLE_ENFORCE_GE( + run_order, 0, + platform::errors::InvalidArgument( + "The argument run_order must be >= 0, but got %d.", run_order)); run_order_ = run_order; use_hierarchical_allreduce_ = use_hierarchical_allreduce; @@ -74,8 +77,11 @@ class NCCLOpHandleBase : public OpHandleBase { return; } - PADDLE_ENFORCE(places_.size() == 1, - "HierarchicalAllReduce run one proc with one card mode."); + PADDLE_ENFORCE_EQ(places_.size(), 1, + platform::errors::InvalidArgument( + "HierarchicalAllReduce can only run " + "one proccess with one card mode, but got %d cards.", + places_.size())); for (auto& p : places_) { auto ctxs = nccl_ctxs_->GetHierarchicalInterCtx(run_order); @@ -88,11 +94,11 @@ class NCCLOpHandleBase : public OpHandleBase { continue; } - PADDLE_ENFORCE(cudaSetDevice(dev_id)); - PADDLE_ENFORCE(cudaEventCreateWithFlags(&inter_events_[dev_id], - cudaEventDisableTiming)); - PADDLE_ENFORCE(cudaEventCreateWithFlags(&exter_events_[dev_id], - cudaEventDisableTiming)); + PADDLE_ENFORCE_CUDA_SUCCESS(cudaSetDevice(dev_id)); + PADDLE_ENFORCE_CUDA_SUCCESS(cudaEventCreateWithFlags( + &inter_events_[dev_id], cudaEventDisableTiming)); + PADDLE_ENFORCE_CUDA_SUCCESS(cudaEventCreateWithFlags( + &exter_events_[dev_id], cudaEventDisableTiming)); VLOG(10) << "Create events on dev_id:" << dev_id << ", inter_event:" << &inter_events_[dev_id] << ", exter_event:" << &exter_events_[dev_id]; @@ -102,7 +108,10 @@ class NCCLOpHandleBase : public OpHandleBase { void FlatNCCLAllReduce(platform::Place place, const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype, ncclRedOp_t op) { - PADDLE_ENFORCE(run_order_ >= 0, "run_order must > 0"); + PADDLE_ENFORCE_GE( + run_order_, 0, + platform::errors::InvalidArgument( + "The argument run_order_ must be >= 0, but got %d.", run_order_)); auto flat_nccl_ctxs = nccl_ctxs_->GetFlatCtx(run_order_); int dev_id = BOOST_GET_CONST(platform::CUDAPlace, place).device; auto& nccl_ctx = flat_nccl_ctxs->at(dev_id); @@ -113,14 +122,17 @@ class NCCLOpHandleBase : public OpHandleBase { << ", dev_id:" << dev_id << ", dtype:" << datatype << ", place:" << place; - PADDLE_ENFORCE(platform::dynload::ncclAllReduce( + PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclAllReduce( sendbuff, recvbuff, count, datatype, op, comm, stream)); } void NCCLAllReduce(platform::Place place, const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype, ncclRedOp_t op) { - PADDLE_ENFORCE(run_order_ >= 0, "run_order must > 0"); + PADDLE_ENFORCE_GE( + run_order_, 0, + platform::errors::InvalidArgument( + "The argument run_order_ must be >= 0, but got %d.", run_order_)); if (!use_hierarchical_allreduce_) { FlatNCCLAllReduce(place, sendbuff, recvbuff, count, datatype, op); return; @@ -132,7 +144,10 @@ class NCCLOpHandleBase : public OpHandleBase { void HierarchicalAllReduce(platform::Place place, const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype, ncclRedOp_t op) { - PADDLE_ENFORCE(run_order_ >= 0, "run_order must > 0"); + PADDLE_ENFORCE_GE( + run_order_, 0, + platform::errors::InvalidArgument( + "The argument run_order_ must be >= 0, but got %d.", run_order_)); InterReduce(place, sendbuff, recvbuff, count, datatype, op); // When a trainer is not in exter allreduce ring // they need not to call this. @@ -157,14 +172,13 @@ class NCCLOpHandleBase : public OpHandleBase { << ", dtype:" << datatype << ", place:" << place << ", stream:" << stream; - PADDLE_ENFORCE(platform::dynload::ncclReduce( + PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclReduce( sendbuff, recvbuff, count, datatype, ncclSum, 0, comm, stream)); cudaEventRecord(inter_events_.at(dev_id), stream); if (FLAGS_sync_nccl_allreduce) { - PADDLE_ENFORCE(cudaStreamSynchronize(stream), - "sync HierarchicalAllReduce inter stream error"); + PADDLE_ENFORCE_CUDA_SUCCESS(cudaStreamSynchronize(stream)); } } @@ -172,7 +186,9 @@ class NCCLOpHandleBase : public OpHandleBase { void* recvbuff, size_t count, ncclDataType_t datatype, ncclRedOp_t op) { auto nccl_ctxs = nccl_ctxs_->GetHierarchicalExterCtx(run_order_); - PADDLE_ENFORCE(nccl_ctxs_, "can't get exter %d nccl_ctxs", run_order_); + PADDLE_ENFORCE_NOT_NULL( + nccl_ctxs_, platform::errors::NotFound( + "Can't get exter %d nccl contexts.", run_order_)); int dev_id = BOOST_GET_CONST(platform::CUDAPlace, place).device; auto& nccl_ctx = nccl_ctxs->at(dev_id); auto stream = nccl_ctx.stream(); @@ -185,14 +201,13 @@ class NCCLOpHandleBase : public OpHandleBase { cudaStreamWaitEvent(stream, inter_events_.at(dev_id), 0); - PADDLE_ENFORCE(platform::dynload::ncclAllReduce( + PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclAllReduce( sendbuff, recvbuff, count, datatype, op, comm, stream)); cudaEventRecord(exter_events_.at(dev_id), stream); if (FLAGS_sync_nccl_allreduce) { - PADDLE_ENFORCE(cudaStreamSynchronize(stream), - "sync HierarchicalAllReduce exter stream error"); + PADDLE_ENFORCE_CUDA_SUCCESS(cudaStreamSynchronize(stream)); } } @@ -210,8 +225,8 @@ class NCCLOpHandleBase : public OpHandleBase { << ", stream:" << stream; cudaStreamWaitEvent(stream, exter_events_.at(dev_id), 0); - PADDLE_ENFORCE(platform::dynload::ncclBcast(sendbuff, count, datatype, 0, - comm, stream)); + PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclBcast( + sendbuff, count, datatype, 0, comm, stream)); } protected: diff --git a/paddle/fluid/framework/details/op_handle_base.cc b/paddle/fluid/framework/details/op_handle_base.cc index 459bcff5c0b740be0d495a6ad648da7424bd1a42..105c37192f57c365abc1429afa7e6627b95eef90 100644 --- a/paddle/fluid/framework/details/op_handle_base.cc +++ b/paddle/fluid/framework/details/op_handle_base.cc @@ -47,8 +47,8 @@ void OpHandleBase::InitCUDA() { #ifdef PADDLE_WITH_CUDA for (auto &p : dev_ctxes_) { int dev_id = BOOST_GET_CONST(platform::CUDAPlace, p.first).device; - PADDLE_ENFORCE(cudaSetDevice(dev_id)); - PADDLE_ENFORCE( + PADDLE_ENFORCE_CUDA_SUCCESS(cudaSetDevice(dev_id)); + PADDLE_ENFORCE_CUDA_SUCCESS( cudaEventCreateWithFlags(&events_[dev_id], cudaEventDisableTiming)); } if (IsMultiDeviceTransfer() && dev_ctxes_.size() > 0) { @@ -62,17 +62,22 @@ void OpHandleBase::InitCUDA() { } } } else { - PADDLE_ENFORCE_EQ(dev_ctxes_.size(), 1UL, - "%s should have only one dev_ctx.", Name()); + PADDLE_ENFORCE_EQ( + dev_ctxes_.size(), 1UL, + platform::errors::InvalidArgument( + "Operator %s should have only one dev_ctx, but got %d.", Name(), + dev_ctxes_.size())); auto &place = dev_ctxes_.begin()->first; int dev_id = BOOST_GET_CONST(platform::CUDAPlace, place).device; for (auto &out_var : outputs_) { auto *out_var_handle = dynamic_cast(out_var); if (out_var_handle) { - PADDLE_ENFORCE(platform::is_same_place(place, out_var_handle->place()), - "The place of output(%s) is not consistent with the " - "place of current op(%s).", - out_var_handle->Name(), Name()); + PADDLE_ENFORCE_EQ( + platform::is_same_place(place, out_var_handle->place()), true, + platform::errors::InvalidArgument( + "The place of output(%s) is not consistent with the " + "place of current op(%s).", + out_var_handle->Name(), Name())); out_var_handle->SetGenerateEvent(events_.at(dev_id)); } } @@ -86,7 +91,10 @@ void OpHandleBase::Run(bool use_cuda) { InitCUDA(); } #else - PADDLE_ENFORCE(!use_cuda); + PADDLE_ENFORCE_EQ(use_cuda, false, + platform::errors::InvalidArgument( + "Argument use_cuda should be false when Paddle is not " + "compiled with CUDA.")); #endif // skip running current op, used with inplace_addto_op_pass @@ -100,17 +108,20 @@ void OpHandleBase::Run(bool use_cuda) { void OpHandleBase::RecordWaitEventOnCtx(platform::DeviceContext *waited_ctx) { #ifdef PADDLE_WITH_CUDA - PADDLE_ENFORCE_NOT_NULL(waited_ctx); + PADDLE_ENFORCE_NOT_NULL(waited_ctx, platform::errors::InvalidArgument( + "Argument waited_ctx is NULL.")); if (platform::is_cpu_place(waited_ctx->GetPlace()) || events_.empty()) { for (auto &dev_ctx : dev_ctxes_) { - PADDLE_ENFORCE_NOT_NULL(dev_ctx.second); + PADDLE_ENFORCE_NOT_NULL( + dev_ctx.second, + platform::errors::InvalidArgument("The device context is NULL.")); dev_ctx.second->Wait(); } } else { auto stream = static_cast(waited_ctx)->stream(); for (auto &ev : events_) { - PADDLE_ENFORCE(cudaStreamWaitEvent(stream, ev.second, 0)); + PADDLE_ENFORCE_CUDA_SUCCESS(cudaStreamWaitEvent(stream, ev.second, 0)); } } #else @@ -145,10 +156,11 @@ void OpHandleBase::WaitInputVarGenerated() { auto stream = static_cast(dev_ctxes_.at(place)) ->stream(); - PADDLE_ENFORCE( + PADDLE_ENFORCE_CUDA_SUCCESS( cudaStreamWaitEvent(stream, in_var_handle->GetEvent(), 0)); #else - PADDLE_THROW("Doesn't compile the GPU."); + PADDLE_THROW( + platform::errors::PreconditionNotMet("Not compiled with CUDA.")); #endif } // There are nothing to do when the place is CPUPlace. @@ -169,10 +181,11 @@ void OpHandleBase::WaitInputVarGenerated(const platform::Place &place) { auto stream = static_cast( dev_ctxes_.at(in_var_handle->place())) ->stream(); - PADDLE_ENFORCE( + PADDLE_ENFORCE_CUDA_SUCCESS( cudaStreamWaitEvent(stream, in_var_handle->GetEvent(), 0)); #else - PADDLE_THROW("Doesn't compile the GPU."); + PADDLE_THROW( + platform::errors::PreconditionNotMet("Not compiled with CUDA.")); #endif } // There are nothing to do when the place is CPUPlace. @@ -242,7 +255,9 @@ void OpHandleBase::SetLocalExecScopes( auto scopes = GetLocalScopes(); for (auto *scope : scopes) { auto iter = scope_map.find(scope); - PADDLE_ENFORCE(iter != scope_map.end(), "Local scope not found"); + PADDLE_ENFORCE_NE( + iter, scope_map.end(), + platform::errors::NotFound("Local scope not found in scope map.")); local_exec_scopes_.emplace_back(iter->second); } } diff --git a/paddle/fluid/framework/details/op_handle_base.h b/paddle/fluid/framework/details/op_handle_base.h index 097f54d5d5891390fdd479d3e6f62ae0e97cd0d4..eb3d9c32ffc1f45ab843a8d9f00b0918acd5e0f6 100644 --- a/paddle/fluid/framework/details/op_handle_base.h +++ b/paddle/fluid/framework/details/op_handle_base.h @@ -24,10 +24,22 @@ #include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/macros.h" +namespace paddle { +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { class Scope; +namespace details { +struct VarHandleBase; +} // namespace details +namespace ir { +class Node; +} // namespace ir namespace details { diff --git a/paddle/fluid/framework/details/op_registry.h b/paddle/fluid/framework/details/op_registry.h index 1e608000e0ac93bb9be3308a89362c321d6a11f9..453a25166b56e9755528fa17f203557680ebabe6 100644 --- a/paddle/fluid/framework/details/op_registry.h +++ b/paddle/fluid/framework/details/op_registry.h @@ -21,6 +21,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/grad_op_desc_maker.h" #include "paddle/fluid/framework/inplace_op_inference.h" #include "paddle/fluid/framework/no_need_buffer_vars_inference.h" @@ -186,19 +187,20 @@ struct OpInfoFiller { void operator()(const char* op_type, OpInfo* info) const { PADDLE_ENFORCE_EQ(info->proto_, nullptr, platform::errors::AlreadyExists( - "OpProto of %s has been registered", op_type)); + "OpProto of %s has been registered.", op_type)); PADDLE_ENFORCE_EQ(info->checker_, nullptr, platform::errors::AlreadyExists( - "OpAttrChecker of %s has been registered", op_type)); + "OpAttrChecker of %s has been registered.", op_type)); info->proto_ = new proto::OpProto; info->checker_ = new OpAttrChecker(); T maker; maker(info->proto_, info->checker_); info->proto_->set_type(op_type); - PADDLE_ENFORCE( - info->proto_->IsInitialized(), - "Fail to initialize %s's OpProto, because %s is not initialized", - op_type, info->proto_->InitializationErrorString()); + PADDLE_ENFORCE_EQ( + info->proto_->IsInitialized(), true, + platform::errors::PreconditionNotMet( + "Fail to initialize %s's OpProto, because %s is not initialized.", + op_type, info->proto_->InitializationErrorString())); } }; diff --git a/paddle/fluid/framework/details/reduce_and_gather.h b/paddle/fluid/framework/details/reduce_and_gather.h index 11c4621fde394057144462bb513aab63187512e3..9ecb2d8dbdd1c26e827961cbc9b569d92992c8e3 100644 --- a/paddle/fluid/framework/details/reduce_and_gather.h +++ b/paddle/fluid/framework/details/reduce_and_gather.h @@ -16,6 +16,7 @@ #include #include #include + #include "paddle/fluid/framework/details/reduce_and_gather.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/selected_rows.h" @@ -32,9 +33,13 @@ struct ReduceLoDTensor { template void apply() const { - PADDLE_ENFORCE(!src_tensors_.empty()); + PADDLE_ENFORCE_NE(src_tensors_.empty(), true, + platform::errors::InvalidArgument( + "The number of tensors to be reduced is 0.")); auto &t0 = *src_tensors_[0]; - PADDLE_ENFORCE_NE(t0.numel(), 0); + PADDLE_ENFORCE_NE(t0.numel(), 0, + platform::errors::InvalidArgument( + "The size of first tensor to be reduced is 0.")); dst_tensor_.Resize(t0.dims()); T *dst = dst_tensor_.mutable_data(platform::CPUPlace()); @@ -45,8 +50,19 @@ struct ReduceLoDTensor { continue; } - PADDLE_ENFORCE_EQ(t.dims(), t0.dims()); - PADDLE_ENFORCE_EQ(t.type(), t0.type()); + PADDLE_ENFORCE_EQ(t.dims(), t0.dims(), + platform::errors::InvalidArgument( + "The shape of tensors to be reduced must be " + "consistent. The shape of current tensor is %s, " + "but the shape of the first tensor is %s.", + t.dims(), t0.dims())); + + PADDLE_ENFORCE_EQ(t.type(), t0.type(), + platform::errors::InvalidArgument( + "The type of tensors to be reduced must be " + "consistent. The type of current tensor is %s, " + "but the type of the first tensor is %s.", + t.type(), t0.type())); std::transform(t.data(), t.data() + t.numel(), dst, dst, [](T a, T b) -> T { return a + b; }); } @@ -88,7 +104,9 @@ struct GatherLocalSelectedRowsFunctor { in_places_(in_places), out_place_(out_place), dst_selected_rows_(dst_selected_rows) { - PADDLE_ENFORCE_EQ(src_selected_rows.empty(), false); + PADDLE_ENFORCE_NE(src_selected_rows.empty(), true, + platform::errors::InvalidArgument( + "The number of selected_rows to be gathered is 0.")); std::vector out_rows; diff --git a/paddle/fluid/framework/details/reduce_op_handle.cc b/paddle/fluid/framework/details/reduce_op_handle.cc index d8f8cc994c080953c92adc02943bc6828aa645a6..d7f13f79f68ebe629cc67d5e6c868d331d3c917c 100644 --- a/paddle/fluid/framework/details/reduce_op_handle.cc +++ b/paddle/fluid/framework/details/reduce_op_handle.cc @@ -13,7 +13,9 @@ // limitations under the License. #include "paddle/fluid/framework/details/reduce_op_handle.h" + #include + #include "paddle/fluid/framework/details/container_cast.h" #include "paddle/fluid/framework/details/reduce_and_gather.h" #include "paddle/fluid/framework/details/variable_visitor.h" @@ -116,8 +118,15 @@ void ReduceOpHandle::GatherSelectedRows( merged_dev_ctx->Wait(); scope->EraseVars(std::vector{gathered_var_name}); - PADDLE_ENFORCE(client->Gather(vars, &remote, *merged_dev_ctx, scope)); - PADDLE_ENFORCE(remote.size() == vars.size()); + PADDLE_ENFORCE_EQ( + client->Gather(vars, &remote, *merged_dev_ctx, scope), true, + platform::errors::PreconditionNotMet("Gather SelectedRows failed.")); + PADDLE_ENFORCE_EQ(remote.size(), vars.size(), + platform::errors::PreconditionNotMet( + "The number of remotes should be equal to the number " + "of variables to be gathered, but got the number of " + "remotes is %d and the number of variables is %d.", + remote.size(), vars.size())); // 4. merged local selected rows. std::vector all; @@ -151,14 +160,19 @@ void ReduceOpHandle::RunImpl() { PADDLE_ENFORCE_EQ( in_var_handles.size(), places_.size(), - "The number of output should equal to the number of places."); + platform::errors::InvalidArgument( + "The number of inputs should equal to the number of places, but got " + "the number of inputs is %d and the number of places is %d.", + in_var_handles.size(), places_.size())); VarHandle *out_var_handle; { auto out_var_handles = DynamicCast(outputs_); PADDLE_ENFORCE_EQ(out_var_handles.size(), 1UL, - "The number of output should be one."); + platform::errors::InvalidArgument( + "The number of output should be one, but got %d.", + out_var_handles.size())); out_var_handle = out_var_handles.front(); } @@ -168,7 +182,10 @@ void ReduceOpHandle::RunImpl() { auto pre_in_var = var_scopes.at(in_0_handle->scope_idx())->FindVar(in_0_handle->name()); - PADDLE_ENFORCE_NOT_NULL(pre_in_var); + + PADDLE_ENFORCE_NOT_NULL(pre_in_var, platform::errors::NotFound( + "Variable %s is not found in scope.", + in_0_handle->name())); // NOTE: The Places of all input tensor must be all on CPU or all on GPU. std::vector in_places; // used to get dev_ctx @@ -176,21 +193,29 @@ void ReduceOpHandle::RunImpl() { in_places.emplace_back(in_handle->place()); auto in_var = var_scopes.at(in_handle->scope_idx())->FindVar(in_handle->name()); - PADDLE_ENFORCE_NOT_NULL(in_var); + + PADDLE_ENFORCE_NOT_NULL( + in_var, platform::errors::NotFound("Variable %s is not found in scope.", + in_handle->name())); + VariableVisitor::EnforceShapeAndDTypeEQ(*pre_in_var, *in_var); } auto out_var = var_scopes.at(out_var_handle->scope_idx()) ->FindVar(out_var_handle->name()); - PADDLE_ENFORCE_NOT_NULL(out_var); + + PADDLE_ENFORCE_NOT_NULL( + out_var, platform::errors::NotFound("Variable %s is not found in scope.", + out_var_handle->name())); // NOTE: The tensors' Place of input and output must be all on GPU or all on // CPU. auto in_p = VariableVisitor::GetMutableTensor(pre_in_var).place(); platform::Place t_out_p; if (platform::is_gpu_place(in_p)) { - PADDLE_ENFORCE(platform::is_gpu_place(out_var_handle->place()), - "Places of input and output must be all on GPU."); + PADDLE_ENFORCE_EQ(platform::is_gpu_place(out_var_handle->place()), true, + platform::errors::PreconditionNotMet( + "Places of input and output must be all on GPU.")); t_out_p = out_var_handle->place(); } else { t_out_p = platform::CPUPlace(); @@ -229,7 +254,10 @@ void ReduceOpHandle::RunImpl() { in_selected_rows, in_places, dev_ctxes_, out_var_handle, t_out_p, out_var->GetMutable()); } else { - PADDLE_THROW("only support double or float when gather SelectedRows"); + PADDLE_THROW(platform::errors::Unimplemented( + "Only support double or float when gather SelectedRows, but got " + "%s.", + framework::DataTypeToString(in_selected_rows[0]->value().type()))); } #endif }); @@ -292,7 +320,7 @@ void ReduceOpHandle::RunImpl() { size_t numel = static_cast(lod_tensor.numel()); all_reduce_calls.emplace_back( [buffer, recvbuffer, type, numel, root_id, &nccl_ctx] { - PADDLE_ENFORCE(platform::dynload::ncclReduce( + PADDLE_ENFORCE_CUDA_SUCCESS(platform::dynload::ncclReduce( buffer, recvbuffer, numel, static_cast(type), ncclSum, root_id, nccl_ctx.comm_, nccl_ctx.stream())); }); @@ -306,10 +334,13 @@ void ReduceOpHandle::RunImpl() { } }); #else - PADDLE_THROW("CUDA is not enabled."); + PADDLE_THROW( + platform::errors::PreconditionNotMet("Not compiled with CUDA.")); #endif } else { - PADDLE_THROW("Place should be CPUPlace or CUDAPlace."); + PADDLE_THROW(platform::errors::InvalidArgument( + "The place of tensor should be CPUPlace or CUDAPlace, but got %s.", + lod_tensors[0]->place())); } } } diff --git a/paddle/fluid/framework/details/reduce_op_handle.h b/paddle/fluid/framework/details/reduce_op_handle.h index 8b92bdef4757729b911aee409092eee15b902bfd..e76a48d207d9b477cb024c039025b61a88829b76 100644 --- a/paddle/fluid/framework/details/reduce_op_handle.h +++ b/paddle/fluid/framework/details/reduce_op_handle.h @@ -24,6 +24,21 @@ #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/selected_rows.h" #include "paddle/fluid/platform/device_context.h" + +namespace paddle { +namespace framework { +class SelectedRows; +namespace details { +struct VarHandle; +} // namespace details +namespace ir { +class Node; +} // namespace ir +} // namespace framework +namespace platform { +struct NCCLContextMap; +} // namespace platform +} // namespace paddle #if defined(PADDLE_WITH_NCCL) #include "paddle/fluid/platform/nccl_helper.h" #endif diff --git a/paddle/fluid/framework/details/reduce_op_handle_test.cc b/paddle/fluid/framework/details/reduce_op_handle_test.cc index d71251b76c75b08e35c6b2ba3af2f8ab2e53308c..ba03c3a267aec821f83f70e694b79833989743c4 100644 --- a/paddle/fluid/framework/details/reduce_op_handle_test.cc +++ b/paddle/fluid/framework/details/reduce_op_handle_test.cc @@ -13,7 +13,9 @@ // limitations under the License. #include "paddle/fluid/framework/details/reduce_op_handle.h" + #include + #include "gtest/gtest.h" #include "paddle/fluid/platform/device_context.h" @@ -69,7 +71,8 @@ struct TestReduceOpHandle { } nccl_ctxs_.reset(new platform::NCCLContextMap(gpu_list_)); #else - PADDLE_THROW("CUDA is not support."); + PADDLE_THROW( + platform::errors::PreconditionNotMet("Not compiled with NCLL.")); #endif } else { int count = 8; @@ -103,7 +106,8 @@ struct TestReduceOpHandle { op_handle_.reset(new ReduceOpHandle(nodes.back().get(), local_scopes_, gpu_list_, nccl_ctxs_.get())); #else - PADDLE_THROW("CUDA is not support."); + PADDLE_THROW( + platform::errors::PreconditionNotMet("Not compiled with NCLL.")); #endif } else { #if defined(PADDLE_WITH_NCCL) @@ -164,7 +168,10 @@ struct TestReduceOpHandle { for (size_t input_scope_idx = 0; input_scope_idx < gpu_list_.size(); ++input_scope_idx) { auto in_var = param_scopes_[input_scope_idx]->FindVar("input"); - PADDLE_ENFORCE_NOT_NULL(in_var); + + PADDLE_ENFORCE_NOT_NULL( + in_var, platform::errors::NotFound( + "Variable %s is not found in scope.", "input")); auto in_selected_rows = in_var->GetMutable(); auto value = in_selected_rows->mutable_value(); value->mutable_data(kDims, gpu_list_[input_scope_idx]); @@ -178,7 +185,9 @@ struct TestReduceOpHandle { } auto out_var = param_scopes_[output_scope_idx]->FindVar("out"); - PADDLE_ENFORCE_NOT_NULL(out_var); + PADDLE_ENFORCE_NOT_NULL(out_var, + platform::errors::NotFound( + "Variable %s is not found in scope.", "out")); auto out_selected_rows = out_var->GetMutable(); auto in_var = param_scopes_[output_scope_idx]->FindVar("input"); @@ -196,9 +205,18 @@ struct TestReduceOpHandle { auto &out_select_rows = out_var->Get(); auto rt = out_select_rows.value(); - PADDLE_ENFORCE_EQ(out_select_rows.height(), height, "height is not equal."); + PADDLE_ENFORCE_EQ(out_select_rows.height(), height, + platform::errors::InvalidArgument( + "The height of SelectedRows is not equal to " + "the expected, expect %d, but got %d.", + height, out_select_rows.height())); for (size_t k = 0; k < out_select_rows.rows().size(); ++k) { - PADDLE_ENFORCE_EQ(out_select_rows.rows()[k], rows[k % rows.size()]); + PADDLE_ENFORCE_EQ( + out_select_rows.rows()[k], rows[k % rows.size()], + platform::errors::InvalidArgument( + "The item at position %d of rows of SelectedRows is not equal to " + "the expected, expect %d, but got %d.", + k, rows[k % rows.size()], out_select_rows.rows()[k])); } f::Tensor result_tensor; @@ -208,7 +226,7 @@ struct TestReduceOpHandle { for (int64_t j = 0; j < f::product(result_tensor.dims()); ++j) { ASSERT_NEAR(ct[j], send_vector[j % send_vector.size()], 1e-5); } - } + } // namespace details void TestReduceLodTensors(size_t output_scope_idx) { std::vector send_vector(static_cast(f::product(kDims))); @@ -220,7 +238,9 @@ struct TestReduceOpHandle { for (size_t input_scope_idx = 0; input_scope_idx < gpu_list_.size(); ++input_scope_idx) { auto in_var = param_scopes_[input_scope_idx]->FindVar("input"); - PADDLE_ENFORCE_NOT_NULL(in_var); + PADDLE_ENFORCE_NOT_NULL( + in_var, platform::errors::NotFound( + "Variable %s is not found in scope.", "input")); auto in_lod_tensor = in_var->GetMutable(); in_lod_tensor->mutable_data(kDims, gpu_list_[input_scope_idx]); in_lod_tensor->set_lod(lod); @@ -230,7 +250,9 @@ struct TestReduceOpHandle { } auto out_var = param_scopes_[output_scope_idx]->FindVar("out"); - PADDLE_ENFORCE_NOT_NULL(out_var); + PADDLE_ENFORCE_NOT_NULL(out_var, + platform::errors::NotFound( + "Variable %s is not found in scope.", "out")); auto out_lodtensor = out_var->GetMutable(); auto in_var = param_scopes_[output_scope_idx]->FindVar("input"); @@ -254,7 +276,7 @@ struct TestReduceOpHandle { ASSERT_NEAR(ct[j], send_vector[j] * gpu_list_.size(), 1e-5); } } -}; +}; // namespace details TEST(ReduceTester, TestCPUReduceTestSelectedRows) { TestReduceOpHandle test_op; diff --git a/paddle/fluid/framework/details/rpc_op_handle.h b/paddle/fluid/framework/details/rpc_op_handle.h index d86d33dd676ca066b8772ac2afbab05cf0d98b38..909f565f2c048b96181bf4b7112ccf44e271ab2d 100644 --- a/paddle/fluid/framework/details/rpc_op_handle.h +++ b/paddle/fluid/framework/details/rpc_op_handle.h @@ -24,6 +24,16 @@ #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/framework/scope.h" +namespace paddle { +namespace framework { +class OpDesc; +class Scope; +namespace ir { +class Node; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/details/scale_loss_grad_op_handle.cc b/paddle/fluid/framework/details/scale_loss_grad_op_handle.cc index 6e2f2327abd62b12d9368992674ce399d50dff35..287667d5ee97ef8779f649761f93e367b5511b29 100644 --- a/paddle/fluid/framework/details/scale_loss_grad_op_handle.cc +++ b/paddle/fluid/framework/details/scale_loss_grad_op_handle.cc @@ -13,9 +13,17 @@ // limitations under the License. #include "paddle/fluid/framework/details/scale_loss_grad_op_handle.h" + #include + #include "paddle/fluid/platform/profiler.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/details/scale_loss_grad_op_handle.h b/paddle/fluid/framework/details/scale_loss_grad_op_handle.h index d4f28dbe2b261be9c5d48aa50e38edfe36bfcfd3..02e5aa88443df1222520f50ebd44db9cc26d8e3f 100644 --- a/paddle/fluid/framework/details/scale_loss_grad_op_handle.h +++ b/paddle/fluid/framework/details/scale_loss_grad_op_handle.h @@ -21,6 +21,18 @@ #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/scope.h" +namespace paddle { +namespace framework { +class Scope; +namespace ir { +class Node; +} // namespace ir +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/details/scope_buffered_monitor.h b/paddle/fluid/framework/details/scope_buffered_monitor.h index 1246c35af6aedab16c2370aa881e85be5a773ddc..3a94534eff4587f595f8ad83217ab93896a91132 100644 --- a/paddle/fluid/framework/details/scope_buffered_monitor.h +++ b/paddle/fluid/framework/details/scope_buffered_monitor.h @@ -17,7 +17,9 @@ #include #include #include + #include "paddle/fluid/framework/scope.h" + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/details/share_tensor_buffer_functor.cc b/paddle/fluid/framework/details/share_tensor_buffer_functor.cc index 5fbaf3cbfe028638ad9219d9e1286480ae16ee6b..079e9abc895ca560c2f607b225dc6f6587b75dfb 100644 --- a/paddle/fluid/framework/details/share_tensor_buffer_functor.cc +++ b/paddle/fluid/framework/details/share_tensor_buffer_functor.cc @@ -22,6 +22,17 @@ #include "paddle/fluid/framework/selected_rows.h" #include "paddle/fluid/platform/enforce.h" +namespace paddle { +namespace framework { +class Scope; +class Tensor; +class Variable; +namespace ir { +class MemOptVarInfo; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace details { @@ -100,13 +111,12 @@ void ShareTensorBufferFunctor::CallOnce() { auto *out_var = exec_scope_->FindVar(out_var_names_[i]); PADDLE_ENFORCE_NOT_NULL( in_var, platform::errors::NotFound( - "The input variable(%s)to be inplaced should not be NULL.", + "The variable(%s) to be inplaced is not found in scope.", in_var_infos_[i]->Name())); PADDLE_ENFORCE_NOT_NULL( - out_var, - platform::errors::NotFound( - "The output variable(%s) to be inplaced should not be NULL.", - out_var_names_[i])); + out_var, platform::errors::NotFound( + "The variable(%s) to be inplaced is not found in scope.", + out_var_names_[i])); PADDLE_ENFORCE_NE( in_var, out_var, platform::errors::PreconditionNotMet( diff --git a/paddle/fluid/framework/details/share_tensor_buffer_functor.h b/paddle/fluid/framework/details/share_tensor_buffer_functor.h index be49d1c432b2ab2b9741d873ba005b400e9f0829..0db69d07bf63a27b15d7541f88376ca42c2d1817 100644 --- a/paddle/fluid/framework/details/share_tensor_buffer_functor.h +++ b/paddle/fluid/framework/details/share_tensor_buffer_functor.h @@ -25,6 +25,15 @@ #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/variable.h" +namespace paddle { +namespace framework { +class Scope; +namespace ir { +class MemOptVarInfo; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/details/share_tensor_buffer_op_handle.cc b/paddle/fluid/framework/details/share_tensor_buffer_op_handle.cc index be3f5515a971900258ab5914b579deffe5d5b7d6..3d53bb62855e092195fdff63e4b4a84fa2bb7eb3 100644 --- a/paddle/fluid/framework/details/share_tensor_buffer_op_handle.cc +++ b/paddle/fluid/framework/details/share_tensor_buffer_op_handle.cc @@ -23,10 +23,20 @@ #include "paddle/fluid/framework/selected_rows.h" #include "paddle/fluid/platform/enforce.h" +namespace paddle { +namespace framework { +namespace ir { +class MemOptVarInfo; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace details { +class ComputationOpHandle; + ComputationOpHandle *GetUniquePendingComputationOpHandle( ShareTensorBufferOpHandle *share_tensor_op) { ComputationOpHandle *result_op = nullptr; diff --git a/paddle/fluid/framework/details/share_tensor_buffer_op_handle.h b/paddle/fluid/framework/details/share_tensor_buffer_op_handle.h index a02c346485eca813f0d0f0b432b8b647e2fe4414..d14cbc31d827906804959cb25a2208d6d3c338cd 100644 --- a/paddle/fluid/framework/details/share_tensor_buffer_op_handle.h +++ b/paddle/fluid/framework/details/share_tensor_buffer_op_handle.h @@ -22,10 +22,22 @@ #include "paddle/fluid/framework/details/op_handle_base.h" #include "paddle/fluid/framework/details/share_tensor_buffer_functor.h" +namespace paddle { +namespace framework { +class Scope; +namespace ir { +class MemOptVarInfo; +class Node; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace details { +class ComputationOpHandle; + class ShareTensorBufferOpHandle : public OpHandleBase { public: ShareTensorBufferOpHandle( diff --git a/paddle/fluid/framework/details/sparse_all_reduce_op_handle.cc b/paddle/fluid/framework/details/sparse_all_reduce_op_handle.cc index 3f9af1c3a1289cc3453d850a2ffa9f78900f3367..37399e5ddc09d9c8237319682e80d352d658411d 100644 --- a/paddle/fluid/framework/details/sparse_all_reduce_op_handle.cc +++ b/paddle/fluid/framework/details/sparse_all_reduce_op_handle.cc @@ -12,8 +12,10 @@ // See the License for the specific language governing permissions and // limitations under the License. #include "paddle/fluid/framework/details/sparse_all_reduce_op_handle.h" + #include #include + #include "dgc/dgc.h" #include "paddle/fluid/framework/details/container_cast.h" #include "paddle/fluid/framework/details/reduce_and_gather.h" @@ -38,18 +40,23 @@ SparseAllReduceOpHandle::SparseAllReduceOpHandle( is_encoded_(is_encoded), nranks_(nranks) { // TODO(gongwb) :polish them! - PADDLE_ENFORCE_EQ(is_encoded, true); + PADDLE_ENFORCE_EQ(is_encoded, true, platform::errors::InvalidArgument( + "The argument is_encoded is false.")); VLOG(1) << "Use dgc allreduce mode" << ", nranks:" << nranks_; - PADDLE_ENFORCE_GT(local_scopes_.size(), 0); + PADDLE_ENFORCE_GT(local_scopes_.size(), 0, + platform::errors::PreconditionNotMet( + "The number of local scope should be > 0, but got %zu.", + local_scopes_.size())); auto nranks_name = g_dgc_nranks; for (size_t i = 0; i < local_scopes_.size(); ++i) { auto *local_scope = local_scopes_[i]; auto nranks_var = local_scope->FindVar(nranks_name); - if (nranks_var == nullptr) { - PADDLE_THROW("not find nranks_var:%s", nranks_name); - } + + PADDLE_ENFORCE_NOT_NULL( + nranks_var, platform::errors::NotFound( + "Variable %s is not found in scope.", nranks_name)); float *dgc_nranks = nranks_var->GetMutable()->data(); *dgc_nranks = nranks; @@ -64,10 +71,18 @@ void SparseAllReduceOpHandle::RunImplEncoded() { auto out_var_handles = DynamicCast(this->Outputs()); PADDLE_ENFORCE_EQ( in_var_handles.size(), places_.size(), - "The NoDummyInputSize should be equal to the number of places."); + platform::errors::PreconditionNotMet( + "The number of input variables should be equal to the number of " + "places, but got the number of input variables is %zu and the the " + "number of places is %zu.", + in_var_handles.size(), places_.size())); PADDLE_ENFORCE_EQ( in_var_handles.size(), out_var_handles.size(), - "The NoDummyInputSize and NoDummyOutputSize should be equal."); + platform::errors::PreconditionNotMet( + "The number of input variables should be equal to the number of " + "output variables, but got the number of input variables is %zu and " + "the the number of output variables is %zu.", + in_var_handles.size(), out_var_handles.size())); std::vector ins; std::vector gathers; @@ -80,14 +95,17 @@ void SparseAllReduceOpHandle::RunImplEncoded() { auto encode_var_name = original_name + g_dgc_encoded; auto *in_var = local_scope->FindVar(encode_var_name); - PADDLE_ENFORCE_NOT_NULL(in_var, "%s should not be null", encode_var_name); + PADDLE_ENFORCE_NOT_NULL( + in_var, platform::errors::NotFound("Variable %s is not found in scope.", + encode_var_name)); auto &in = in_var->Get(); ins.emplace_back(&in); auto gather_var_name = original_name + g_dgc_gather; auto *gather_var = local_scope->FindVar(gather_var_name); - PADDLE_ENFORCE_NOT_NULL(gather_var, "%s should not be null", - gather_var_name); + PADDLE_ENFORCE_NOT_NULL( + gather_var, platform::errors::NotFound( + "Variable %s is not found in scope.", gather_var)); auto *gather = gather_var->GetMutable(); gathers.emplace_back(gather); @@ -100,14 +118,26 @@ void SparseAllReduceOpHandle::RunImplEncoded() { } } - PADDLE_ENFORCE(platform::is_gpu_place(ins[0]->place())); - PADDLE_ENFORCE(platform::is_gpu_place(outs[0]->place())); - PADDLE_ENFORCE(nccl_ctxs_, "nccl_ctxs should not be nullptr."); + PADDLE_ENFORCE_EQ( + platform::is_gpu_place(ins[0]->place()), true, + platform::errors::InvalidArgument( + "The place of input variable should be CUDAPlace, but got %s.", + ins[0]->place())); + PADDLE_ENFORCE_EQ( + platform::is_gpu_place(outs[0]->place()), true, + platform::errors::InvalidArgument( + "The place of input variable should be CUDAPlace, but got %s.", + outs[0]->place())); + PADDLE_ENFORCE_NOT_NULL(nccl_ctxs_, platform::errors::PreconditionNotMet( + "The nccl contexts are NULL.")); int dtype = -1; size_t in_numel = 0; size_t out_numel = 0; - PADDLE_ENFORCE(nranks_ > 1); + PADDLE_ENFORCE_GT( + nranks_, 1, + platform::errors::PreconditionNotMet( + "The number of ranks should be > 1, but got %d.", nranks_)); std::vector> all_gather_calls; std::vector> sparse_reduce_calls; @@ -123,8 +153,16 @@ void SparseAllReduceOpHandle::RunImplEncoded() { dtype = (dtype == -1) ? platform::ToNCCLDataType(in.type()) : dtype; in_numel = (in_numel == 0) ? static_cast(in.numel()) : in_numel; - PADDLE_ENFORCE(in_numel % 2 == 0); - PADDLE_ENFORCE(in_numel / 2 == static_cast(k)); + PADDLE_ENFORCE_EQ(in_numel % 2, 0, + platform::errors::InvalidArgument( + "The number of elements of input variable should be " + "even, but got %zu.", + in_numel)); + PADDLE_ENFORCE_EQ(in_numel / 2, static_cast(k), + platform::errors::InvalidArgument( + "The number of elements of input variable should be " + "even, but got %zu.", + in_numel)); out_numel = (out_numel == 0) ? static_cast(out.numel()) : out_numel; int dev_id = BOOST_GET_CONST(platform::CUDAPlace, place).device; @@ -154,7 +192,8 @@ void SparseAllReduceOpHandle::RunImplEncoded() { PADDLE_ENFORCE_EQ(paddle::communication::dgc::sparseReduce( gather_buff, k, out_tensor_buf, static_cast(out_numel), nranks_, stream), - true); + true, platform::errors::Unavailable( + "Calling sparseReduce() failed.")); }); } @@ -187,11 +226,16 @@ void SparseAllReduceOpHandle::SparseAllReduceFunc( int SparseAllReduceOpHandle::GetKValue(const std::string &grad_name) { auto original_name = paddle::framework::GradOriginalVarName(grad_name); auto var_name = original_name + g_dgc_k; - PADDLE_ENFORCE(local_scopes_.size() > 0); + PADDLE_ENFORCE_GT(local_scopes_.size(), 0, + platform::errors::PreconditionNotMet( + "The number of local scope should be > 0, but got %zu.", + local_scopes_.size())); auto *scope = local_exec_scopes_[0]; auto var = scope->FindVar(var_name); - PADDLE_ENFORCE_NOT_NULL(var); + PADDLE_ENFORCE_NOT_NULL( + var, platform::errors::NotFound("Variable %s is not found in scope.", + var_name)); auto tensor = var->Get().data(); return *tensor; } @@ -202,15 +246,22 @@ bool SparseAllReduceOpHandle::IsEncoded() { } auto counter_name = g_dgc_counter_name; auto step_name = g_dgc_rampup_begin_step; - PADDLE_ENFORCE(local_scopes_.size() > 0); + + PADDLE_ENFORCE_GT(local_scopes_.size(), 0, + platform::errors::PreconditionNotMet( + "The number of local scope should be > 0, but got %zu.", + local_scopes_.size())); auto *local_scope = local_exec_scopes_[0]; auto count_var = local_scope->FindVar(counter_name); auto step_var = local_scope->FindVar(step_name); - if (count_var == nullptr || step_var == nullptr) { - PADDLE_THROW("not find count_var:%s or step_var:%s", counter_name, - step_var); - } + + PADDLE_ENFORCE_NOT_NULL( + count_var, platform::errors::NotFound( + "Variable %s is not found in scope.", counter_name)); + PADDLE_ENFORCE_NOT_NULL( + step_var, platform::errors::NotFound("Variable %s is not found in scope.", + step_var)); float count = *count_var->Get().data(); float step = *step_var->Get().data(); diff --git a/paddle/fluid/framework/details/sparse_all_reduce_op_handle.h b/paddle/fluid/framework/details/sparse_all_reduce_op_handle.h index b24b457d21d8b7a17d8e2ae615791090f3859a97..8bfea0f1ae8b8a63f5a220382f74b2a8e116f5ef 100644 --- a/paddle/fluid/framework/details/sparse_all_reduce_op_handle.h +++ b/paddle/fluid/framework/details/sparse_all_reduce_op_handle.h @@ -23,6 +23,17 @@ #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/platform/nccl_helper.h" +namespace paddle { +namespace framework { +namespace ir { +class Node; +} // namespace ir +} // namespace framework +namespace platform { +class NCCLCommunicator; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/details/var_handle.h b/paddle/fluid/framework/details/var_handle.h index bb38424d3ae2d74f6f0a48e11df95b60dbf432f3..a35ac0bd732fd28faea862a860f82b6fe46cac67 100644 --- a/paddle/fluid/framework/details/var_handle.h +++ b/paddle/fluid/framework/details/var_handle.h @@ -24,6 +24,14 @@ #include "paddle/fluid/platform/macros.h" #include "paddle/fluid/platform/place.h" +namespace paddle { +namespace framework { +namespace ir { +class Node; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/details/variable_visitor.cc b/paddle/fluid/framework/details/variable_visitor.cc index fba0c1bf463ee0b9a434c350474af4be0c589e30..71e5dd28eded1c48ef49414df0a89fb072f0375c 100644 --- a/paddle/fluid/framework/details/variable_visitor.cc +++ b/paddle/fluid/framework/details/variable_visitor.cc @@ -15,6 +15,14 @@ #include "paddle/fluid/framework/details/variable_visitor.h" #include "paddle/fluid/framework/selected_rows.h" + +namespace paddle { +namespace framework { +class LoDTensor; +class Variable; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/details/variable_visitor.h b/paddle/fluid/framework/details/variable_visitor.h index ca9a19bdcf1be7bf0e1d2b0de560a38f528a2d2c..a882d5120bc66849dbdd5fc179b1aa530436808e 100644 --- a/paddle/fluid/framework/details/variable_visitor.h +++ b/paddle/fluid/framework/details/variable_visitor.h @@ -17,6 +17,13 @@ #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/variable.h" +namespace paddle { +namespace framework { +class Tensor; +class Variable; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace details { diff --git a/paddle/fluid/framework/device_worker.cc b/paddle/fluid/framework/device_worker.cc index aeec6161714028352da3628027864e8660dad774..fbaae5a21c274780e79c6d7ac629b1874b6ae53f 100644 --- a/paddle/fluid/framework/device_worker.cc +++ b/paddle/fluid/framework/device_worker.cc @@ -13,11 +13,13 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/device_worker.h" -#include "xxhash.h" // NOLINT namespace paddle { namespace framework { +class LoDTensor; +class Scope; + void DeviceWorker::SetRootScope(Scope* root_scope) { root_scope_ = root_scope; } void DeviceWorker::SetDataFeed(DataFeed* data_feed) { diff --git a/paddle/fluid/framework/device_worker.h b/paddle/fluid/framework/device_worker.h index efe6fa1b2daffcbbaa2b7945e7139ac83f689bcd..f6f3098613ba194bea90a36efc3153cf63d2db5b 100644 --- a/paddle/fluid/framework/device_worker.h +++ b/paddle/fluid/framework/device_worker.h @@ -39,6 +39,18 @@ limitations under the License. */ #include "paddle/fluid/platform/port.h" #include "paddle/fluid/platform/timer.h" +namespace paddle { +namespace framework { +class LoDTensor; +class ProgramDesc; +class Scope; +class Tensor; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + #if defined(PADDLE_WITH_NCCL) #include "paddle/fluid/platform/nccl_helper.h" #endif @@ -62,7 +74,9 @@ class PullDenseWorker { virtual void Initialize(const TrainerDesc& param); #ifdef PADDLE_WITH_CUDA void AddStream(const cudaStream_t stream) { copy_streams_.push_back(stream); } +#endif +#if (defined PADDLE_WITH_CUDA) || (defined PADDLE_WITH_XPU) void AddPlace(const paddle::platform::Place place) { places_.push_back(place); } @@ -123,9 +137,9 @@ class PullDenseWorker { #ifdef PADDLE_WITH_CUDA std::vector copy_streams_; +#endif std::vector places_; std::vector thread_scopes_; -#endif }; // should incorporate different type of device @@ -149,6 +163,7 @@ class DeviceWorker { virtual void SetDataFeed(DataFeed* data_feed); virtual void SetWorkerNum(int num) {} virtual void CacheProgram(const ProgramDesc& main_program) {} + virtual void GetXpuOpIndex() {} virtual void SetNeedDumpField(bool need_dump_field) { need_dump_field_ = need_dump_field; } diff --git a/paddle/fluid/framework/device_worker_factory.cc b/paddle/fluid/framework/device_worker_factory.cc index 67be8db6e80329de4323e4cb8f904a24753f56bc..3b60cb65e34b4f4728ce7fae11b77364f284935f 100644 --- a/paddle/fluid/framework/device_worker_factory.cc +++ b/paddle/fluid/framework/device_worker_factory.cc @@ -20,6 +20,8 @@ limitations under the License. */ namespace paddle { namespace framework { +class DeviceWorker; + typedef std::shared_ptr (*Createdevice_workerFunction)(); typedef std::unordered_map device_workerMap; diff --git a/paddle/fluid/framework/device_worker_factory.h b/paddle/fluid/framework/device_worker_factory.h index 9d0613385e78c9f482840677c71f621e53ed85b5..6a31c3ea7a414fb88eb1b5abb57911617f800acd 100644 --- a/paddle/fluid/framework/device_worker_factory.h +++ b/paddle/fluid/framework/device_worker_factory.h @@ -16,11 +16,14 @@ limitations under the License. */ #include #include + #include "paddle/fluid/framework/device_worker.h" namespace paddle { namespace framework { +class DeviceWorker; + class DeviceWorkerFactory { public: static std::string DeviceWorkerTypeList(); diff --git a/paddle/fluid/framework/device_worker_test.cc b/paddle/fluid/framework/device_worker_test.cc index b488e4cfe7a013375a55b19e854bde0f5024df21..461d329a371bfae700c238a009ec0821ed3a7297 100644 --- a/paddle/fluid/framework/device_worker_test.cc +++ b/paddle/fluid/framework/device_worker_test.cc @@ -13,9 +13,10 @@ // limitations under the License. #include "paddle/fluid/framework/device_worker.h" + #include + #include "paddle/fluid/framework/lod_tensor.h" -#include "paddle/fluid/framework/trainer.h" namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/distributed_strategy.proto b/paddle/fluid/framework/distributed_strategy.proto index df482f43346c57cc59af42936b6a7308b76cbd3a..21e28d7ac86d06571e49a522db13c17c0ebf33be 100644 --- a/paddle/fluid/framework/distributed_strategy.proto +++ b/paddle/fluid/framework/distributed_strategy.proto @@ -97,6 +97,7 @@ message AsyncConfig { optional int32 thread_pool_size = 6 [ default = 1 ]; optional int32 send_wait_times = 7 [ default = 1 ]; optional bool runtime_split_send_recv = 8 [ default = false ]; + optional bool launch_barrier = 9 [ default = true ]; } message PipelineConfig { optional int32 micro_batch = 1 [ default = 1 ]; } @@ -127,6 +128,7 @@ message DistributedStrategy { optional int32 conv_workspace_size_limit = 22 [ default = 4000 ]; optional bool cudnn_batchnorm_spatial_persistent = 23 [ default = true ]; optional bool adaptive_localsgd = 24 [ default = false ]; + optional bool fp16_allreduce = 25 [ default = false ]; optional RecomputeConfig recompute_configs = 101; optional AMPConfig amp_configs = 102; diff --git a/paddle/fluid/framework/dlpack_tensor.cc b/paddle/fluid/framework/dlpack_tensor.cc index 915589b3242b7d5675e630aca7310185fd109ec2..ac1e39ad2c1af6894d6bbaec563c487a6857f95a 100644 --- a/paddle/fluid/framework/dlpack_tensor.cc +++ b/paddle/fluid/framework/dlpack_tensor.cc @@ -11,10 +11,17 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. +#include "paddle/fluid/framework/dlpack_tensor.h" #include - #include "paddle/fluid/framework/data_type.h" -#include "paddle/fluid/framework/dlpack_tensor.h" + +namespace paddle { +namespace platform { +struct bfloat16; +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/dlpack_tensor.h b/paddle/fluid/framework/dlpack_tensor.h index 5346ba62894308ea8910739d565f2e3f0fa8c8c0..e342523718b34b3e32e54d0ffd14128a43df34f7 100644 --- a/paddle/fluid/framework/dlpack_tensor.h +++ b/paddle/fluid/framework/dlpack_tensor.h @@ -15,11 +15,14 @@ #pragma once #include + #include "paddle/fluid/framework/tensor.h" namespace paddle { namespace framework { +class Tensor; + class DLPackTensor { public: using LaneType = decltype(::DLTensor::dtype.lanes); // uint16_t diff --git a/paddle/fluid/framework/dlpack_tensor_test.cc b/paddle/fluid/framework/dlpack_tensor_test.cc index 4dead063b477980ace5dabfead1447cb297bbdd2..4a1f151f69b2d46f55d2bcf8a701e2ecc156b3df 100644 --- a/paddle/fluid/framework/dlpack_tensor_test.cc +++ b/paddle/fluid/framework/dlpack_tensor_test.cc @@ -17,6 +17,12 @@ #include #include +namespace paddle { +namespace platform { +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/downpour_worker.cc b/paddle/fluid/framework/downpour_worker.cc index 1c64bf1d3f7f31f42308395b5b054f62fd97b429..00f721701a4a55980c8df3079d88cbeeba116f49 100644 --- a/paddle/fluid/framework/downpour_worker.cc +++ b/paddle/fluid/framework/downpour_worker.cc @@ -13,10 +13,14 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/device_worker.h" -#include "paddle/fluid/framework/device_worker_factory.h" -#include "paddle/fluid/framework/fleet/fleet_wrapper.h" #include "paddle/fluid/platform/cpu_helper.h" -#include "paddle/fluid/string/string_helper.h" + +namespace paddle { +namespace framework { +class LoDTensor; +class Variable; +} // namespace framework +} // namespace paddle #if defined _WIN32 || defined __APPLE__ #else diff --git a/paddle/fluid/framework/downpour_worker_opt.cc b/paddle/fluid/framework/downpour_worker_opt.cc index b40a00ef9cb8cf3f51fdca4d71a905ac912db51f..afe6ddfa3d9a6361cbbb63047114c01bbe819b8c 100644 --- a/paddle/fluid/framework/downpour_worker_opt.cc +++ b/paddle/fluid/framework/downpour_worker_opt.cc @@ -12,18 +12,16 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include -#include -#include "paddle/fluid/framework/data_type.h" #include "paddle/fluid/framework/device_worker.h" -#include "paddle/fluid/framework/device_worker_factory.h" -#include "paddle/fluid/framework/fleet/fleet_wrapper.h" #include "paddle/fluid/platform/cpu_helper.h" -#include "paddle/fluid/platform/lodtensor_printer.h" namespace paddle { namespace framework { +class OpDesc; +class OperatorBase; +class ProgramDesc; + bool HasDependentOutput(const OpDesc& op_desc, const std::unordered_set& dependent_vars) { for (auto& var : op_desc.Outputs()) { diff --git a/paddle/fluid/framework/eigen.h b/paddle/fluid/framework/eigen.h index 0e3edfb95cb9b37543ce84ba9a22227d2761734a..a6abda8a83bc8484ccc9017d32bc04b7df32e90c 100644 --- a/paddle/fluid/framework/eigen.h +++ b/paddle/fluid/framework/eigen.h @@ -14,6 +14,8 @@ limitations under the License. */ #pragma once +#include + #include "paddle/fluid/framework/tensor.h" #include "unsupported/Eigen/CXX11/Tensor" diff --git a/paddle/fluid/framework/executor.h b/paddle/fluid/framework/executor.h index fa6a65d5892f0098a95d1e30b11501bc1043b14f..7593b60abfffcd9a0a3e9f743930660327c1409e 100644 --- a/paddle/fluid/framework/executor.h +++ b/paddle/fluid/framework/executor.h @@ -19,6 +19,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/data_set.h" #include "paddle/fluid/framework/executor_gc_helper.h" #include "paddle/fluid/framework/garbage_collector.h" @@ -32,6 +33,11 @@ limitations under the License. */ namespace paddle { namespace framework { +class Dataset; +class ProgramDesc; +class Scope; +class TrainerBase; + struct ExecutorPrepareContext { ExecutorPrepareContext(const framework::ProgramDesc& prog, size_t block_id); diff --git a/paddle/fluid/framework/executor_gc_helper.cc b/paddle/fluid/framework/executor_gc_helper.cc index 706248229bc27e553fbc136116ab616f371eed5e..c80eedb1b86f771d1c6bf97442733e90bae374e0 100644 --- a/paddle/fluid/framework/executor_gc_helper.cc +++ b/paddle/fluid/framework/executor_gc_helper.cc @@ -13,16 +13,19 @@ // limitations under the License. #include "paddle/fluid/framework/executor_gc_helper.h" + #include #include -#include #include #include -#include + #include "glog/logging.h" -#include "paddle/fluid/framework/lod_tensor.h" -#include "paddle/fluid/framework/lod_tensor_array.h" -#include "paddle/fluid/framework/selected_rows.h" +#include "paddle/fluid/framework/block_desc.h" +#include "paddle/fluid/framework/framework.pb.h" +#include "paddle/fluid/framework/no_need_buffer_vars_inference.h" +#include "paddle/fluid/framework/op_info.h" +#include "paddle/fluid/framework/operator.h" +#include "paddle/fluid/framework/var_desc.h" #include "paddle/fluid/platform/enforce.h" namespace paddle { diff --git a/paddle/fluid/framework/executor_gc_helper.h b/paddle/fluid/framework/executor_gc_helper.h index a4c71c5304e05e3d0dca6ca08d955f39b779556b..e44edc5aa1c810f859942a62763e0c9179885987 100644 --- a/paddle/fluid/framework/executor_gc_helper.h +++ b/paddle/fluid/framework/executor_gc_helper.h @@ -18,6 +18,7 @@ #include #include #include + #include "paddle/fluid/framework/garbage_collector.h" #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/framework/scope.h" @@ -26,6 +27,10 @@ namespace paddle { namespace framework { // Result map: op -> variable names that can be deleted after op runs +class GarbageCollector; +class OperatorBase; +class Scope; + std::unordered_map> GetUnusedVars(const BlockDesc &block, const std::vector> &ops, diff --git a/paddle/fluid/framework/feed_fetch_method.cc b/paddle/fluid/framework/feed_fetch_method.cc index fd857f7735c1db2b5b3678517e5301d4ab8700ef..3bd85b2b24b97b22132c9dae792361dc7b9ad734 100644 --- a/paddle/fluid/framework/feed_fetch_method.cc +++ b/paddle/fluid/framework/feed_fetch_method.cc @@ -13,16 +13,17 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/feed_fetch_method.h" + #include -#include + #include "glog/logging.h" -#include "paddle/fluid/framework/var_type.h" -#include "paddle/fluid/framework/variable.h" -#include "paddle/fluid/platform/place.h" namespace paddle { namespace framework { +class LoDTensor; +class Variable; + void SetFeedVariable(Scope* scope, const LoDTensor& input, const std::string& var_name, size_t index) { // If var_name Variable is not found in GlobalScope, a new variable will diff --git a/paddle/fluid/framework/feed_fetch_method.h b/paddle/fluid/framework/feed_fetch_method.h index 65c8b255ffb2fbe8a054dd871bccd665d284968d..a52ef517c8b7342522aeb7d699a19d22619d3d0b 100644 --- a/paddle/fluid/framework/feed_fetch_method.h +++ b/paddle/fluid/framework/feed_fetch_method.h @@ -15,12 +15,16 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/framework/feed_fetch_type.h" #include "paddle/fluid/framework/scope.h" namespace paddle { namespace framework { +class LoDTensor; +class Scope; + void SetFeedVariable(Scope* scope, const LoDTensor& input, const std::string& var_name, size_t index); diff --git a/paddle/fluid/framework/fleet/fleet_wrapper.cc b/paddle/fluid/framework/fleet/fleet_wrapper.cc index 34fff042770c5f50a280408d8f7f925488b3879c..693073d1fc73a65bd17e34da864f9d8df019043c 100644 --- a/paddle/fluid/framework/fleet/fleet_wrapper.cc +++ b/paddle/fluid/framework/fleet/fleet_wrapper.cc @@ -29,12 +29,6 @@ limitations under the License. */ #include "paddle/fluid/framework/fleet/fleet_wrapper.h" #include #include -#include "paddle/fluid/framework/channel.h" -#include "paddle/fluid/framework/data_feed.h" -#include "paddle/fluid/framework/io/fs.h" -#include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/framework/scope.h" -#include "paddle/fluid/platform/timer.h" namespace paddle { namespace framework { @@ -751,7 +745,57 @@ void FleetWrapper::PushDenseVarsAsync( push_sparse_status->push_back(std::move(status)); } } +#endif + +#ifdef PADDLE_WITH_XPU +void FleetWrapper::PushDenseVarsAsync( + const Scope& scope, const uint64_t table_id, + const std::vector& var_names, + std::vector<::std::future>* push_sparse_status, + float scale_datanorm, int batch_size, + const paddle::platform::Place& place) { +#ifdef PADDLE_WITH_PSLIB + std::vector regions; + for (auto& t : var_names) { + Variable* var = scope.FindVar(t); + LoDTensor* tensor = var->GetMutable(); + int count = tensor->numel(); + float* g_data = tensor->data(); + + Variable* pin_var = scope.FindVar(t + "pin"); + LoDTensor* pin_tensor = pin_var->GetMutable(); + float* pin_g = + pin_tensor->mutable_data(tensor->dims(), platform::CPUPlace()); + memory::Copy(platform::CPUPlace(), pin_g, + BOOST_GET_CONST(platform::XPUPlace, place), g_data, + sizeof(float) * count); + + float* g = pin_g; + if (scale_datanorm >= 0) { + if (t.find(".batch_size@GRAD") != std::string::npos || + t.find(".batch_sum@GRAD") != std::string::npos) { + Eigen::Map mat(g, 1, count); + float scale = 1.0 / batch_size; + mat *= scale; + } else if (t.find(".batch_square_sum@GRAD") != std::string::npos) { + VLOG(3) << "epsilon: " << scale_datanorm; + for (int i = 0; i < count; ++i) { + g[i] = (g[i] - batch_size * scale_datanorm) / batch_size + + batch_size * scale_datanorm; + } + } + } + paddle::ps::Region reg(g, count); + regions.emplace_back(std::move(reg)); + } + auto status = pslib_ptr_->_worker_ptr->push_dense(regions.data(), + regions.size(), table_id); + if (push_sparse_status) { + push_sparse_status->push_back(std::move(status)); + } +#endif +} #endif void FleetWrapper::PushDenseVarsAsync( const Scope& scope, const uint64_t table_id, diff --git a/paddle/fluid/framework/fleet/fleet_wrapper.h b/paddle/fluid/framework/fleet/fleet_wrapper.h index cc13a50160a94c63345bcbd5633f2d3f8555ae0c..ae86835f38df77a3a7661433501cdd2440553d17 100644 --- a/paddle/fluid/framework/fleet/fleet_wrapper.h +++ b/paddle/fluid/framework/fleet/fleet_wrapper.h @@ -35,6 +35,12 @@ limitations under the License. */ #include "paddle/fluid/framework/variable_helper.h" #include "paddle/fluid/platform/macros.h" // for DISABLE_COPY_AND_ASSIGN +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { @@ -154,6 +160,14 @@ class FleetWrapper { float scale_datanorm, int batch_size, const paddle::platform::Place& place, cudaStream_t stream, cudaEvent_t event); +#endif +#ifdef PADDLE_WITH_XPU + void PushDenseVarsAsync( + const Scope& scope, const uint64_t table_id, + const std::vector& var_names, + std::vector<::std::future>* push_sparse_status, + float scale_datanorm, int batch_size, + const paddle::platform::Place& place); #endif void PushDenseVarsAsync( const Scope& scope, const uint64_t table_id, diff --git a/paddle/fluid/framework/fleet/gloo_wrapper.cc b/paddle/fluid/framework/fleet/gloo_wrapper.cc index f195dde40843c8c4ee5168d11ad0b8eac8199f4e..f4b2d2d7d1881d2ad5e9ca50156923e27ce55316 100644 --- a/paddle/fluid/framework/fleet/gloo_wrapper.cc +++ b/paddle/fluid/framework/fleet/gloo_wrapper.cc @@ -10,10 +10,7 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/fleet/gloo_wrapper.h" -#include // NOLINT -#include #include "paddle/fluid/framework/io/fs.h" -#include "paddle/fluid/platform/errors.h" #include "paddle/fluid/string/string_helper.h" namespace gloo { diff --git a/paddle/fluid/framework/fleet/heter_wrapper.cc b/paddle/fluid/framework/fleet/heter_wrapper.cc index b70d5e5fc1ae6c90dac4ebf1d86353e38a79492d..8e232560ab6876995a735b6901a5459265f9cb05 100644 --- a/paddle/fluid/framework/fleet/heter_wrapper.cc +++ b/paddle/fluid/framework/fleet/heter_wrapper.cc @@ -27,15 +27,6 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/fleet/heter_wrapper.h" -#include -#include -#include "paddle/fluid/framework/channel.h" -#include "paddle/fluid/framework/data_feed.h" -#include "paddle/fluid/framework/device_worker.h" -#include "paddle/fluid/framework/io/fs.h" -#include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/framework/scope.h" -#include "paddle/fluid/platform/timer.h" #ifdef PADDLE_WITH_PSLIB namespace paddle { @@ -122,29 +113,66 @@ void HeterWrapper::SerializeToReq(const std::string& varname, Scope* scope, if (platform::is_cpu_place(tensor->place())) { memcpy(data_ptr, tensor->data(), tensor->numel() * SizeOfType(tensor->type())); - } + } else { #ifdef PADDLE_WITH_CUDA - else { memory::Copy(platform::CPUPlace(), data_ptr, BOOST_GET_CONST(platform::CUDAPlace, tensor->place()), tensor->data(), tensor->numel() * SizeOfType(tensor->type()), nullptr); - } #endif +#ifdef PADDLE_WITH_XPU + memory::Copy(platform::CPUPlace(), data_ptr, + BOOST_GET_CONST(platform::XPUPlace, tensor->place()), + tensor->data(), + tensor->numel() * SizeOfType(tensor->type())); +#endif + } } -// void HeterWrapper::DeSerializeToTensor(Scope* scope, -// const HeterRequest* request) { #ifdef PADDLE_WITH_CUDA void HeterWrapper::DeSerializeToTensor(Scope* scope, const VariableMessage& req_var, platform::Place place, cudaStream_t stream) { + // const VariableMessage& req_var = request->vars(); + auto* var = scope->FindVar(req_var.varname()); + auto* tensor = var->GetMutable(); + + std::vector vec_dim; + for (auto& x : req_var.dims()) { + vec_dim.push_back(x); + } + tensor->Resize(make_ddim(vec_dim)); + + LoD lod; + for (int i = 0; i < req_var.lod_level(); ++i) { + framework::Vector v; + for (int j = 0; j < req_var.lod(i).lod_data_size(); ++j) { + v.push_back(req_var.lod(i).lod_data(j)); + } + lod.push_back(v); + } + tensor->set_lod(lod); + + void* tensor_data = + tensor->mutable_data(place, ToVarType(req_var.data_type())); + +#ifdef PADDLE_WITH_CUDA + memory::Copy(BOOST_GET_CONST(platform::CUDAPlace, place), tensor_data, + platform::CPUPlace(), req_var.data().data(), + tensor->numel() * SizeOfType(tensor->type()), stream); #else + memcpy(tensor_data, req_var.data().data(), + tensor->numel() * SizeOfType(tensor->type())); +#endif +} +#endif + +// void HeterWrapper::DeSerializeToTensor(Scope* scope, +// const HeterRequest* request) { void HeterWrapper::DeSerializeToTensor(Scope* scope, const VariableMessage& req_var, platform::Place place) { -#endif // const VariableMessage& req_var = request->vars(); auto* var = scope->FindVar(req_var.varname()); auto* tensor = var->GetMutable(); @@ -168,10 +196,10 @@ void HeterWrapper::DeSerializeToTensor(Scope* scope, void* tensor_data = tensor->mutable_data(place, ToVarType(req_var.data_type())); -#ifdef PADDLE_WITH_CUDA - memory::Copy(BOOST_GET_CONST(platform::CUDAPlace, place), tensor_data, +#ifdef PADDLE_WITH_XPU + memory::Copy(BOOST_GET_CONST(platform::XPUPlace, place), tensor_data, platform::CPUPlace(), req_var.data().data(), - tensor->numel() * SizeOfType(tensor->type()), stream); + tensor->numel() * SizeOfType(tensor->type())); #else memcpy(tensor_data, req_var.data().data(), tensor->numel() * SizeOfType(tensor->type())); @@ -192,7 +220,8 @@ framework::proto::VarType::Type HeterWrapper::ToVarType( case VariableMessage::BOOL: return framework::proto::VarType::BOOL; // NOLINT default: - VLOG(0) << "Not support type " << type; + PADDLE_THROW(platform::errors::InvalidArgument( + "ToVarType:Unsupported type %d", type)); } } @@ -239,7 +268,7 @@ void HeterWrapper::CallRemoteXpu(std::shared_ptr task, request.set_cur_batch(task->cur_batch_); OnHeterRpcDone* done = new OnHeterRpcDone([this, task, worker](void* done) { - auto* closure = (OnHeterRpcDone*)done; + auto* closure = reinterpret_cast(done); if (closure->cntl.Failed()) { VLOG(0) << "call xpu fail: " << closure->cntl.ErrorText(); } else { diff --git a/paddle/fluid/framework/fleet/nccl_wrapper.cc b/paddle/fluid/framework/fleet/nccl_wrapper.cc index 33a91388fd8cc97d181df46ab826d384860d38f5..ed92e2e9aadb36b026334c1074bdd60d11beeb1b 100644 --- a/paddle/fluid/framework/fleet/nccl_wrapper.cc +++ b/paddle/fluid/framework/fleet/nccl_wrapper.cc @@ -13,9 +13,6 @@ // limitations under the License. #include "paddle/fluid/framework/fleet/nccl_wrapper.h" -#include -#include "paddle/fluid/framework/data_feed.h" -#include "paddle/fluid/framework/scope.h" namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/fleet/nccl_wrapper.h b/paddle/fluid/framework/fleet/nccl_wrapper.h index a55921f1ac2a1204965433cac12ba2ca2e19367e..3725a225dbecfec0b6c6b934b259d895eb09c9cb 100644 --- a/paddle/fluid/framework/fleet/nccl_wrapper.h +++ b/paddle/fluid/framework/fleet/nccl_wrapper.h @@ -21,6 +21,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/program_desc.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/variable_helper.h" @@ -29,6 +30,12 @@ limitations under the License. */ #endif #include "paddle/fluid/platform/macros.h" // for DISABLE_COPY_AND_ASSIGN +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/garbage_collector.h b/paddle/fluid/framework/garbage_collector.h index 4f7739652822b9047b1798b6bd66261effbe2f49..884d230816b2ecae61c332f024fa8a4c9b0f2070 100644 --- a/paddle/fluid/framework/garbage_collector.h +++ b/paddle/fluid/framework/garbage_collector.h @@ -19,9 +19,16 @@ #include #include // NOLINT #include + #include "gflags/gflags.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/generator.h b/paddle/fluid/framework/generator.h index a279c2e4e1458293b6579b7b7cb2111e440e5d5e..862e63c4c6af5a503a0fe04a8966d543ef23e55e 100644 --- a/paddle/fluid/framework/generator.h +++ b/paddle/fluid/framework/generator.h @@ -16,7 +16,6 @@ limitations under the License. */ #include #include - #include #include #include // temp for debug diff --git a/paddle/fluid/framework/hetercpu_worker.cc b/paddle/fluid/framework/hetercpu_worker.cc index 83838f4df67d0bcbd9fb8ec8fb6762641287d2c4..747fd434ae7833b999918a0a52928df6b28891e4 100644 --- a/paddle/fluid/framework/hetercpu_worker.cc +++ b/paddle/fluid/framework/hetercpu_worker.cc @@ -12,13 +12,6 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include "paddle/fluid/framework/device_worker.h" -#include "paddle/fluid/framework/device_worker_factory.h" -#include "paddle/fluid/framework/fleet/fleet_wrapper.h" -#include "paddle/fluid/framework/fleet/heter_wrapper.h" -#include "paddle/fluid/platform/cpu_helper.h" -#include "paddle/fluid/string/string_helper.h" - #ifdef PADDLE_WITH_PSLIB #if defined _WIN32 || defined __APPLE__ diff --git a/paddle/fluid/framework/heterxpu_trainer.cc b/paddle/fluid/framework/heterxpu_trainer.cc index 5ca1aa66319228fc95f63294b15c981dd3c8ba30..6bbbaacdde3b30a8956794b650e2ff7b1f503a59 100644 --- a/paddle/fluid/framework/heterxpu_trainer.cc +++ b/paddle/fluid/framework/heterxpu_trainer.cc @@ -22,9 +22,11 @@ limitations under the License. */ #include "paddle/fluid/framework/device_worker_factory.h" #include "paddle/fluid/framework/fleet/fleet_wrapper.h" #include "paddle/fluid/framework/trainer.h" -#if (defined PADDLE_WITH_CUDA) && (defined PADDLE_WITH_PSLIB) +#if (defined PADDLE_WITH_CUDA || defined PADDLE_WITH_XPU) && \ + (defined PADDLE_WITH_PSLIB) +#ifdef PADDLE_WITH_CUDA #include "paddle/fluid/platform/cuda_device_guard.h" - +#endif namespace paddle { namespace framework { @@ -44,6 +46,7 @@ void HeterXpuTrainer::Initialize(const TrainerDesc& trainer_desc, int place_num = trainer_desc.worker_places_size(); for (int i = 0; i < place_num; ++i) { int num = trainer_desc.worker_places(i); +#ifdef PADDLE_WITH_CUDA platform::CUDAPlace place = platform::CUDAPlace(num); platform::CUDADeviceGuard guard(place.device); cudaStream_t stream; @@ -54,6 +57,11 @@ void HeterXpuTrainer::Initialize(const TrainerDesc& trainer_desc, PADDLE_ENFORCE_CUDA_SUCCESS( cudaEventCreateWithFlags(&event, cudaEventDisableTiming)); events_.push_back(event); +#endif +#ifdef PADDLE_WITH_XPU + platform::XPUPlace place = platform::XPUPlace(num); + places_.push_back(place); +#endif } // thread_num_ = trainer_desc.thread_num(); // SetDataset(dataset); @@ -105,11 +113,17 @@ void HeterXpuTrainer::Initialize(const TrainerDesc& trainer_desc, void HeterXpuTrainer::CreateThreadParam(const ProgramDesc& program, int num) { auto place = places_[num]; Scope* scope = place_scopes_[num]; +#ifdef PADDLE_WITH_CUDA auto stream = copy_streams_[num]; auto event = events_[num]; - auto dev_id = BOOST_GET_CONST(platform::CUDAPlace, place).device; platform::CUDADeviceGuard guard(dev_id); +#endif + +#ifdef PADDLE_WITH_XPU + xpu_set_device(BOOST_GET_CONST(platform::XPUPlace, place).device); +#endif + auto& block = program.Block(0); for (auto& var : block.AllVars()) { if (var->Persistable()) { @@ -126,13 +140,28 @@ void HeterXpuTrainer::CreateThreadParam(const ProgramDesc& program, int num) { HeterMemCpy(thread_tensor, root_tensor, place, stream); \ } \ } while (0) + +#define HeterMemcpyXpuFunc(cpp_type, proto_type) \ + do { \ + if (root_tensor->type() == proto_type) { \ + HeterMemCpy(thread_tensor, root_tensor, place); \ + } \ + } while (0) +#ifdef PADDLE_WITH_CUDA _ForEachDataType_(HeterMemcpyFunc); +#endif +#ifdef PADDLE_WITH_XPU + _ForEachDataType_(HeterMemcpyXpuFunc); +#endif } } +#ifdef PADDLE_WITH_CUDA PADDLE_ENFORCE_CUDA_SUCCESS(cudaEventRecord(event, stream)); cudaEventSynchronize(event); +#endif } +#ifdef PADDLE_WITH_CUDA template void HeterXpuTrainer::HeterMemCpy(LoDTensor* thread_tensor, LoDTensor* root_tensor, @@ -151,6 +180,27 @@ void HeterXpuTrainer::HeterMemCpy(LoDTensor* thread_tensor, root_ptr, sizeof(T) * root_tensor->numel(), stream); } } +#endif + +#ifdef PADDLE_WITH_XPU +template +void HeterXpuTrainer::HeterMemCpy(LoDTensor* thread_tensor, + LoDTensor* root_tensor, + const paddle::platform::Place& thread_place) { + T* thread_ptr = + thread_tensor->mutable_data(root_tensor->dims(), thread_place); + T* root_ptr = root_tensor->data(); + if (platform::is_cpu_place(root_tensor->place())) { + memory::Copy(BOOST_GET_CONST(platform::XPUPlace, thread_place), thread_ptr, + platform::CPUPlace(), root_ptr, + sizeof(T) * root_tensor->numel()); + } else { + memory::Copy(BOOST_GET_CONST(platform::XPUPlace, thread_place), thread_ptr, + BOOST_GET_CONST(platform::XPUPlace, root_tensor->place()), + root_ptr, sizeof(T) * root_tensor->numel()); + } +} +#endif void HeterXpuTrainer::DumpWork(int tid) {} @@ -181,13 +231,16 @@ void HeterXpuTrainer::InitOtherEnv(const ProgramDesc& main_program) { CreateThreadParam(main_program, i); pull_dense_worker_->AddThreadScope(scope); pull_dense_worker_->AddPlace(places_[i]); +#ifdef PADDLE_WITH_CUDA pull_dense_worker_->AddStream(copy_streams_[i]); +#endif } - pull_dense_worker_->Start(); +#ifdef PADDLE_WITH_CUDA for (auto& stream : copy_streams_) { cudaStreamSynchronize(stream); } +#endif op_names_.clear(); for (auto& op_desc : block.AllOps()) { std::unique_ptr local_op = OpRegistry::CreateOp(*op_desc); @@ -230,10 +283,12 @@ void HeterXpuTrainer::InitOtherEnv(const ProgramDesc& main_program) { OperatorBase* local_op_ptr = local_op.release(); (context->ops_).push_back(local_op_ptr); } +#ifdef PADDLE_WITH_CUDA auto dev_id = BOOST_GET_CONST(platform::CUDAPlace, place).device; platform::CUDADeviceGuard guard(dev_id); PADDLE_ENFORCE_CUDA_SUCCESS( cudaEventCreateWithFlags(&context->event_, cudaEventDisableTiming)); +#endif object_pool_.Push(context); } } @@ -277,12 +332,25 @@ int HeterXpuTrainer::EndPass(const HeterRequest* request, } \ } while (0) _ForEachDataType_(MergeCallback); - if (platform::is_gpu_place(thread_tensor->place())) { + if (!platform::is_cpu_place(thread_tensor->place())) { +#ifdef PADDLE_WITH_CUDA auto dev_id = BOOST_GET_CONST(platform::CUDAPlace, thread_tensor->place()).device; platform::CUDADeviceGuard guard(dev_id); cudaMemset(thread_tensor->data(), 0, thread_tensor->numel() * SizeOfType(thread_tensor->type())); +#endif +#ifdef PADDLE_WITH_XPU + auto place = thread_tensor->place(); + xpu_set_device(BOOST_GET_CONST(platform::XPUPlace, place).device); + platform::DeviceContextPool& pool = + platform::DeviceContextPool::Instance(); + platform::DeviceContext* dev_ctx = pool.Get(place); + const platform::XPUDeviceContext* xpu_ctx = + reinterpret_cast(dev_ctx); + xpu::memset(xpu_ctx->x_context(), thread_tensor->data(), 0, + thread_tensor->numel() * SizeOfType(thread_tensor->type())); +#endif } else { memset(thread_tensor->data(), 0, thread_tensor->numel() * SizeOfType(thread_tensor->type())); @@ -291,12 +359,25 @@ int HeterXpuTrainer::EndPass(const HeterRequest* request, auto* merge_var = response->add_vars(); heter_ptr_->SerializeToReq(need_merge_var_names_[i], root_scope_, merge_var); - if (platform::is_gpu_place(root_tensor->place())) { + if (!platform::is_cpu_place(root_tensor->place())) { +#ifdef PADDLE_WITH_CUDA auto dev_id = BOOST_GET_CONST(platform::CUDAPlace, root_tensor->place()).device; platform::CUDADeviceGuard guard(dev_id); cudaMemset(root_tensor->data(), 0, root_tensor->numel() * SizeOfType(root_tensor->type())); +#endif +#ifdef PADDLE_WITH_XPU + auto place = root_tensor->place(); + xpu_set_device(BOOST_GET_CONST(platform::XPUPlace, place).device); + platform::DeviceContextPool& pool = + platform::DeviceContextPool::Instance(); + platform::DeviceContext* dev_ctx = pool.Get(place); + const platform::XPUDeviceContext* xpu_ctx = + reinterpret_cast(dev_ctx); + xpu::memset(xpu_ctx->x_context(), root_tensor->data(), 0, + root_tensor->numel() * SizeOfType(root_tensor->type())); +#endif } else { memset(root_tensor->data(), 0, root_tensor->numel() * SizeOfType(root_tensor->type())); @@ -334,7 +415,7 @@ int HeterXpuTrainer::RunTask(const HeterRequest* request, std::shared_ptr context = object_pool_.Get(); if (!context->scope_) { - int num = rand() % places_.size(); + int num = rand_r() % places_.size(); context->place_num_ = num; auto place = places_[num]; context->scope_ = &(place_scopes_[num]->NewScope()); @@ -356,11 +437,12 @@ int HeterXpuTrainer::RunTask(const HeterRequest* request, OperatorBase* local_op_ptr = local_op.release(); (context->ops_).push_back(local_op_ptr); } - +#ifdef PADDLE_WITH_CUDA auto dev_id = BOOST_GET_CONST(platform::CUDAPlace, place).device; platform::CUDADeviceGuard guard(dev_id); PADDLE_ENFORCE_CUDA_SUCCESS( cudaEventCreateWithFlags(&context->event_, cudaEventDisableTiming)); +#endif } context->Reset(); @@ -369,15 +451,22 @@ int HeterXpuTrainer::RunTask(const HeterRequest* request, auto deserial_timer = std::make_shared("xpu_service_deserial"); for (int i = 0; i < request->vars_size(); ++i) { +#ifdef PADDLE_WITH_CUDA heter_ptr_->DeSerializeToTensor(context->scope_, request->vars(i), place, copy_streams_[context->place_num_]); +#endif +#ifdef PADDLE_WITH_XPU + heter_ptr_->DeSerializeToTensor(context->scope_, request->vars(i), place); +#endif } +#ifdef PADDLE_WITH_CUDA PADDLE_ENFORCE_CUDA_SUCCESS( cudaEventRecord(context->event_, copy_streams_[context->place_num_])); while (cudaEventQuery(context->event_) != cudaSuccess) { VLOG(3) << "wait for kernel"; bthread_yield(); } +#endif } { @@ -388,6 +477,7 @@ int HeterXpuTrainer::RunTask(const HeterRequest* request, op->Run(*(context->scope_), place); } } +#ifdef PADDLE_WITH_CUDA auto* dev_ctx = static_cast( platform::DeviceContextPool::Instance().Get(place)); PADDLE_ENFORCE_CUDA_SUCCESS( @@ -401,6 +491,10 @@ int HeterXpuTrainer::RunTask(const HeterRequest* request, bthread_yield(); } } +#endif +#ifdef PADDLE_WITH_XPU + xpu_wait(); +#endif for (int i = 0; i < trainer_desc_.xpu_send_list_size(); ++i) { const std::string& varname = trainer_desc_.xpu_send_list(i); @@ -417,11 +511,19 @@ int HeterXpuTrainer::RunTask(const HeterRequest* request, ++i) { uint64_t tid = static_cast(param_.program_config(0).push_dense_table_id(i)); +#ifdef PADDLE_WITH_CUDA fleet_ptr_->PushDenseVarsAsync( *(context->scope_), tid, dense_grad_names_[tid], &(context->push_dense_status_), scale_datanorm_, request->cur_batch(), places_[context->place_num_], copy_streams_[context->place_num_], context->event_); +#endif +#ifdef PADDLE_WITH_XPU + fleet_ptr_->PushDenseVarsAsync( + *(context->scope_), tid, dense_grad_names_[tid], + &(context->push_dense_status_), scale_datanorm_, request->cur_batch(), + places_[context->place_num_]); +#endif } for (int i = 0; i < param_.program_config(0).push_dense_table_id_size(); ++i) { @@ -463,7 +565,6 @@ void HeterXpuTrainer::Finalize() { pull_dense_worker_->Stop(); root_scope_->DropKids(); } - } // namespace framework } // namespace paddle #endif diff --git a/paddle/fluid/framework/inlined_vector.h b/paddle/fluid/framework/inlined_vector.h index 2a7f26b9f9661ecc79112307bac2780e357a55b4..f8e937fa107bc6f4d7c10ec8fe59283f85796879 100644 --- a/paddle/fluid/framework/inlined_vector.h +++ b/paddle/fluid/framework/inlined_vector.h @@ -15,6 +15,7 @@ #pragma once #include #include + #include "paddle/fluid/platform/enforce.h" namespace paddle { diff --git a/paddle/fluid/framework/inlined_vector_test.cc b/paddle/fluid/framework/inlined_vector_test.cc index 003c0d7bbeac2b3d8ed62766fee09912c7a07bb2..581e7d8934ddec4b64d706d33448300f81ddbc91 100644 --- a/paddle/fluid/framework/inlined_vector_test.cc +++ b/paddle/fluid/framework/inlined_vector_test.cc @@ -13,10 +13,10 @@ // limitations under the License. #include "paddle/fluid/framework/inlined_vector.h" + #include #include -#include -#include + #include "gtest/gtest.h" namespace paddle { diff --git a/paddle/fluid/framework/io/crypto/cipher_utils.cc b/paddle/fluid/framework/io/crypto/cipher_utils.cc index e0c653e001628b17adcb09f9d70cfb183e09860e..ee9f06b2f3eb10d22a2f50c80827f0f80259bb35 100644 --- a/paddle/fluid/framework/io/crypto/cipher_utils.cc +++ b/paddle/fluid/framework/io/crypto/cipher_utils.cc @@ -15,8 +15,6 @@ #include "paddle/fluid/framework/io/crypto/cipher_utils.h" #include - -#include #include #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/framework/io/crypto/cipher_utils.h b/paddle/fluid/framework/io/crypto/cipher_utils.h index 936f62f6ba65cfe26be56ed2dd828f1e42e8d1b2..52db03f530c34e58b963f48aa93c757fac534185 100644 --- a/paddle/fluid/framework/io/crypto/cipher_utils.h +++ b/paddle/fluid/framework/io/crypto/cipher_utils.h @@ -17,6 +17,7 @@ #include #include #include + namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/io/fs.h b/paddle/fluid/framework/io/fs.h index c88636e267422c27696341df145346e33018cdaf..bb6d720ca584c16aa5898cb72483e9ed83e77fcc 100644 --- a/paddle/fluid/framework/io/fs.h +++ b/paddle/fluid/framework/io/fs.h @@ -18,6 +18,7 @@ #include #include #include + #include "glog/logging.h" #include "paddle/fluid/framework/io/shell.h" #include "paddle/fluid/string/string_helper.h" diff --git a/paddle/fluid/framework/io/shell.h b/paddle/fluid/framework/io/shell.h index dc486275d6f58eaa7a360b8f17830acd664b11c7..7db5cd7661cd7670f90fc0d788eda6f98b46cf37 100644 --- a/paddle/fluid/framework/io/shell.h +++ b/paddle/fluid/framework/io/shell.h @@ -32,6 +32,7 @@ #include #include #include + #include "paddle/fluid/platform/port.h" #include "paddle/fluid/string/string_helper.h" diff --git a/paddle/fluid/framework/ir/attention_lstm_fuse_pass.h b/paddle/fluid/framework/ir/attention_lstm_fuse_pass.h index 47ed9f0393fb222e612ed3bce1afbc879edb410d..48e3989a5314c613209718a313b076f4ce208ebc 100644 --- a/paddle/fluid/framework/ir/attention_lstm_fuse_pass.h +++ b/paddle/fluid/framework/ir/attention_lstm_fuse_pass.h @@ -20,6 +20,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + class AttentionLSTMFusePass : public FusePassBase { protected: void ApplyImpl(ir::Graph* graph) const override; diff --git a/paddle/fluid/framework/ir/conv_affine_channel_fuse_pass.cc b/paddle/fluid/framework/ir/conv_affine_channel_fuse_pass.cc index fd8b55a6b7deb9bf4685b27f8849a49ab77f64e9..9c984a23e377d749947a61793838956079a3678b 100644 --- a/paddle/fluid/framework/ir/conv_affine_channel_fuse_pass.cc +++ b/paddle/fluid/framework/ir/conv_affine_channel_fuse_pass.cc @@ -13,19 +13,28 @@ // limitations under the License. #include "paddle/fluid/framework/ir/conv_affine_channel_fuse_pass.h" + #include -#include -#include #include + #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_version_registry.h" #include "paddle/fluid/operators/math/cpu_vec.h" #include "paddle/fluid/platform/enforce.h" +namespace paddle { +namespace framework { +class LoDTensor; +class Scope; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { +class Node; + #define GET_CONV_BN_NODES(pattern_name) \ /* OPERATORS */ \ GET_IR_NODE_FROM_SUBGRAPH(conv, conv, pattern_name); \ diff --git a/paddle/fluid/framework/ir/conv_affine_channel_fuse_pass.h b/paddle/fluid/framework/ir/conv_affine_channel_fuse_pass.h index d607020a47b8c589775ac763f04e64272dfec4e0..916384ec44704537f472c8b99bc5766489bd1ced 100644 --- a/paddle/fluid/framework/ir/conv_affine_channel_fuse_pass.h +++ b/paddle/fluid/framework/ir/conv_affine_channel_fuse_pass.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -26,6 +27,8 @@ namespace ir { /* * Fuse the Conv and ConvAffineChannel. */ +class Graph; + class ConvAffineChannelFusePass : public FusePassBase { public: virtual ~ConvAffineChannelFusePass() {} diff --git a/paddle/fluid/framework/ir/conv_bn_fuse_pass.cc b/paddle/fluid/framework/ir/conv_bn_fuse_pass.cc index fb787e08814429781bf64efda2f1eb915f185f63..a915015bf55bd8a93fcc8311abc871e11cb9402d 100644 --- a/paddle/fluid/framework/ir/conv_bn_fuse_pass.cc +++ b/paddle/fluid/framework/ir/conv_bn_fuse_pass.cc @@ -13,15 +13,22 @@ // limitations under the License. #include "paddle/fluid/framework/ir/conv_bn_fuse_pass.h" -#include -#include + #include #include + #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_version_registry.h" #include "paddle/fluid/operators/math/cpu_vec.h" #include "paddle/fluid/platform/enforce.h" +namespace paddle { +namespace framework { +class LoDTensor; +class Scope; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { diff --git a/paddle/fluid/framework/ir/conv_bn_fuse_pass.h b/paddle/fluid/framework/ir/conv_bn_fuse_pass.h index 57a9f69ca15af2759874a1e2a0b58399de652693..342cd8dad5fb959a11df6c50fda4f22bb73ec5ba 100644 --- a/paddle/fluid/framework/ir/conv_bn_fuse_pass.h +++ b/paddle/fluid/framework/ir/conv_bn_fuse_pass.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -26,6 +27,8 @@ namespace ir { /* * Fuse the Conv and BatchNorm to a ConvBNMKLDNNOp. */ +class Graph; + class ConvBNFusePass : public FusePassBase { public: virtual ~ConvBNFusePass() {} diff --git a/paddle/fluid/framework/ir/conv_elementwise_add2_act_fuse_pass.h b/paddle/fluid/framework/ir/conv_elementwise_add2_act_fuse_pass.h index ea9e465d8d765a298215db29c77aa58e727fd15e..e68f57d4ae998203c6f34aee7cca11d69a5e6d3f 100644 --- a/paddle/fluid/framework/ir/conv_elementwise_add2_act_fuse_pass.h +++ b/paddle/fluid/framework/ir/conv_elementwise_add2_act_fuse_pass.h @@ -20,6 +20,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + class ConvElementwiseAdd2ActFusePass : public FusePassBase { public: virtual ~ConvElementwiseAdd2ActFusePass() {} diff --git a/paddle/fluid/framework/ir/conv_elementwise_add_act_fuse_pass.cc b/paddle/fluid/framework/ir/conv_elementwise_add_act_fuse_pass.cc index c5fa47ec55fe9a15caca493a4b0c72c22f2cf5c7..93e6e13ff7092c80958d5defb11e2e456298c7b7 100644 --- a/paddle/fluid/framework/ir/conv_elementwise_add_act_fuse_pass.cc +++ b/paddle/fluid/framework/ir/conv_elementwise_add_act_fuse_pass.cc @@ -14,6 +14,7 @@ #include "paddle/fluid/framework/ir/conv_elementwise_add_act_fuse_pass.h" #include + #include "paddle/fluid/framework/ir/graph_viz_pass.h" #include "paddle/fluid/framework/op_version_registry.h" diff --git a/paddle/fluid/framework/ir/conv_elementwise_add_act_fuse_pass.h b/paddle/fluid/framework/ir/conv_elementwise_add_act_fuse_pass.h index 8b34c3551d8f9b54f01e52cc0fc896901cd7df99..933092c7db7d38d722af9392e71cd0c1797f0eee 100644 --- a/paddle/fluid/framework/ir/conv_elementwise_add_act_fuse_pass.h +++ b/paddle/fluid/framework/ir/conv_elementwise_add_act_fuse_pass.h @@ -20,6 +20,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + class ConvElementwiseAddActFusePass : public FusePassBase { public: virtual ~ConvElementwiseAddActFusePass() {} diff --git a/paddle/fluid/framework/ir/conv_elementwise_add_fuse_pass.cc b/paddle/fluid/framework/ir/conv_elementwise_add_fuse_pass.cc index 38c0b773ddeddddea68ecefd6c8525449c52d7a6..e4396f227f7f5280cfd3057aebfed8d02480d154 100644 --- a/paddle/fluid/framework/ir/conv_elementwise_add_fuse_pass.cc +++ b/paddle/fluid/framework/ir/conv_elementwise_add_fuse_pass.cc @@ -14,6 +14,7 @@ #include "paddle/fluid/framework/ir/conv_elementwise_add_fuse_pass.h" #include + #include "paddle/fluid/framework/ir/graph_viz_pass.h" #include "paddle/fluid/framework/op_version_registry.h" diff --git a/paddle/fluid/framework/ir/conv_elementwise_add_fuse_pass.h b/paddle/fluid/framework/ir/conv_elementwise_add_fuse_pass.h index 66a562cdd1948980a6792a53713cac947d72e7d6..7198a7488e052b5bdbe52d662b903d9f90c51da0 100644 --- a/paddle/fluid/framework/ir/conv_elementwise_add_fuse_pass.h +++ b/paddle/fluid/framework/ir/conv_elementwise_add_fuse_pass.h @@ -20,6 +20,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + class ConvElementwiseAddFusePass : public FusePassBase { public: virtual ~ConvElementwiseAddFusePass() {} diff --git a/paddle/fluid/framework/ir/cudnn_placement_pass.h b/paddle/fluid/framework/ir/cudnn_placement_pass.h index 99dd3a175d37adabe4fab3888e94fe080631086b..8d84c2bf707956c4a00454a6dc66efcb42bec816 100644 --- a/paddle/fluid/framework/ir/cudnn_placement_pass.h +++ b/paddle/fluid/framework/ir/cudnn_placement_pass.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include + #include "paddle/fluid/framework/ir/placement_pass_base.h" namespace paddle { diff --git a/paddle/fluid/framework/ir/delete_quant_dequant_op_pass.cc b/paddle/fluid/framework/ir/delete_quant_dequant_op_pass.cc index 4dfbd5e00c15cf713cc42a542bbb1a019b6490d9..886b080c6624c2577327db9753839f6a8c9740ad 100644 --- a/paddle/fluid/framework/ir/delete_quant_dequant_op_pass.cc +++ b/paddle/fluid/framework/ir/delete_quant_dequant_op_pass.cc @@ -12,10 +12,8 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include - #include "paddle/fluid/framework/ir/delete_quant_dequant_op_pass.h" -#include "paddle/fluid/framework/ir/graph_viz_pass.h" +#include namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/ir/delete_quant_dequant_op_pass.h b/paddle/fluid/framework/ir/delete_quant_dequant_op_pass.h index 938ada6453edf4e3ce324aa787e9d23905869d93..fea0498fdecd26a723692338bdcd51b5335be501 100644 --- a/paddle/fluid/framework/ir/delete_quant_dequant_op_pass.h +++ b/paddle/fluid/framework/ir/delete_quant_dequant_op_pass.h @@ -14,6 +14,7 @@ #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -21,6 +22,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + class DeleteQuantDequantOpPass : public FusePassBase { public: virtual ~DeleteQuantDequantOpPass() {} diff --git a/paddle/fluid/framework/ir/embedding_eltwise_layernorm_fuse_pass.cc b/paddle/fluid/framework/ir/embedding_eltwise_layernorm_fuse_pass.cc index 3f88a460d140f6d7389194a29e37128f5ba5b458..51861b402d58aa1224fbbfbc1476ed848716d5f7 100644 --- a/paddle/fluid/framework/ir/embedding_eltwise_layernorm_fuse_pass.cc +++ b/paddle/fluid/framework/ir/embedding_eltwise_layernorm_fuse_pass.cc @@ -13,10 +13,10 @@ // limitations under the License. #include "paddle/fluid/framework/ir/embedding_eltwise_layernorm_fuse_pass.h" -#include #include #include #include + #include "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_version_registry.h" diff --git a/paddle/fluid/framework/ir/embedding_eltwise_layernorm_fuse_pass.h b/paddle/fluid/framework/ir/embedding_eltwise_layernorm_fuse_pass.h index 644eb1cf89221c4e6e22e3d767b4b802702d7b88..25049d7468b152e72ad5f32fb38d9204f7219dff 100644 --- a/paddle/fluid/framework/ir/embedding_eltwise_layernorm_fuse_pass.h +++ b/paddle/fluid/framework/ir/embedding_eltwise_layernorm_fuse_pass.h @@ -17,10 +17,19 @@ #include #include #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" +namespace paddle { +namespace framework { +namespace ir { +class Graph; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { diff --git a/paddle/fluid/framework/ir/embedding_fc_lstm_fuse_pass.h b/paddle/fluid/framework/ir/embedding_fc_lstm_fuse_pass.h index 65cb4439727b466506af35df1bed609b18c06ee0..a9cde13758b07066193992637e7048a67540c2fd 100644 --- a/paddle/fluid/framework/ir/embedding_fc_lstm_fuse_pass.h +++ b/paddle/fluid/framework/ir/embedding_fc_lstm_fuse_pass.h @@ -27,6 +27,8 @@ namespace ir { // Fusing of Embedding , FC and LSTM op // Just FC without bias +class Graph; + class EmbeddingFCLSTMFusePass : public FusePassBase { public: virtual ~EmbeddingFCLSTMFusePass() {} diff --git a/paddle/fluid/framework/ir/fc_elementwise_layernorm_fuse_pass.cc b/paddle/fluid/framework/ir/fc_elementwise_layernorm_fuse_pass.cc index 5c18a0d6c7ffe43a882f8f190f3449d6778c1bd0..bedb968964123df59b9cd68726c5718381a349b4 100644 --- a/paddle/fluid/framework/ir/fc_elementwise_layernorm_fuse_pass.cc +++ b/paddle/fluid/framework/ir/fc_elementwise_layernorm_fuse_pass.cc @@ -13,9 +13,11 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/ir/fc_elementwise_layernorm_fuse_pass.h" + #include #include #include + #include "paddle/fluid/framework/ir/graph_pattern_detector.h" namespace paddle { diff --git a/paddle/fluid/framework/ir/fc_elementwise_layernorm_fuse_pass.h b/paddle/fluid/framework/ir/fc_elementwise_layernorm_fuse_pass.h index ac4d0b39ee267c724636954263aa2dce9d9ec47f..12e4c44b84e87bb710774ebba0ba2853d8b37f5e 100644 --- a/paddle/fluid/framework/ir/fc_elementwise_layernorm_fuse_pass.h +++ b/paddle/fluid/framework/ir/fc_elementwise_layernorm_fuse_pass.h @@ -20,6 +20,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + class FCElementwiseLayerNormFusePass : public FusePassBase { public: virtual ~FCElementwiseLayerNormFusePass() {} diff --git a/paddle/fluid/framework/ir/fc_fuse_pass.cc b/paddle/fluid/framework/ir/fc_fuse_pass.cc index d60510a4074997a028cd914ca7a0e76335801c80..0248aeedd0afeda155c19fb9ff59baf1d9197ea6 100644 --- a/paddle/fluid/framework/ir/fc_fuse_pass.cc +++ b/paddle/fluid/framework/ir/fc_fuse_pass.cc @@ -13,10 +13,10 @@ // limitations under the License. #include "paddle/fluid/framework/ir/fc_fuse_pass.h" -#include + #include -#include #include + #include "paddle/fluid/framework/ir/graph_helper.h" #include "paddle/fluid/framework/op_version_registry.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/framework/ir/fc_fuse_pass.h b/paddle/fluid/framework/ir/fc_fuse_pass.h index ef6636d109a69d32aa50044b9686254e5d7769a5..f564bbb151854fe325975285b18d25b517336014 100644 --- a/paddle/fluid/framework/ir/fc_fuse_pass.h +++ b/paddle/fluid/framework/ir/fc_fuse_pass.h @@ -26,6 +26,8 @@ namespace ir { /* * Fuse the MUL and ELEMENTWISE_ADD to a FCOp. */ +class Graph; + class FCFusePass : public FusePassBase { public: virtual ~FCFusePass() {} diff --git a/paddle/fluid/framework/ir/fc_gru_fuse_pass.cc b/paddle/fluid/framework/ir/fc_gru_fuse_pass.cc index f5fea90ac2fcee8e9c48ca21203b3b60cd7f7166..c4515bbc45538ca211382aa119bbec5721c56c5a 100644 --- a/paddle/fluid/framework/ir/fc_gru_fuse_pass.cc +++ b/paddle/fluid/framework/ir/fc_gru_fuse_pass.cc @@ -15,6 +15,7 @@ #include "paddle/fluid/framework/ir/fc_gru_fuse_pass.h" #include #include + #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_version_registry.h" @@ -22,6 +23,8 @@ namespace paddle { namespace framework { namespace ir { +class Node; + static int BuildFusion(Graph* graph, const std::string& name_scope, Scope* scope, bool with_fc_bias) { GraphPatternDetector gpd; diff --git a/paddle/fluid/framework/ir/fc_gru_fuse_pass.h b/paddle/fluid/framework/ir/fc_gru_fuse_pass.h index e11cdac7ea95219444c35bb8deef630fe29d3734..73f00504d34d5f1cfddbc3826f7a84e6925fc9f3 100644 --- a/paddle/fluid/framework/ir/fc_gru_fuse_pass.h +++ b/paddle/fluid/framework/ir/fc_gru_fuse_pass.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -25,6 +26,8 @@ namespace ir { // The MulGRUFusePass and MulGRUFusePass will fuse to the same FusionGRU op. +class Graph; + class FCGRUFusePass : public FusePassBase { public: virtual ~FCGRUFusePass() {} diff --git a/paddle/fluid/framework/ir/fc_lstm_fuse_pass.cc b/paddle/fluid/framework/ir/fc_lstm_fuse_pass.cc index a3c57e14e1aedbed1e4cf462d4883cd83bf2fa10..2b451da7bfa8b089c0f891ce42fbc293b19ac4b1 100644 --- a/paddle/fluid/framework/ir/fc_lstm_fuse_pass.cc +++ b/paddle/fluid/framework/ir/fc_lstm_fuse_pass.cc @@ -15,6 +15,7 @@ #include "paddle/fluid/framework/ir/fc_lstm_fuse_pass.h" #include #include + #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_version_registry.h" @@ -22,6 +23,8 @@ namespace paddle { namespace framework { namespace ir { +class Node; + int BuildFusion(Graph* graph, const std::string& name_scope, Scope* scope, bool with_fc_bias) { GraphPatternDetector gpd; diff --git a/paddle/fluid/framework/ir/fc_lstm_fuse_pass.h b/paddle/fluid/framework/ir/fc_lstm_fuse_pass.h index 5dea7c91a860f0b9622610f12f195eafb9849555..d37f53b15f06b72e67c234baec3a314f0f462735 100644 --- a/paddle/fluid/framework/ir/fc_lstm_fuse_pass.h +++ b/paddle/fluid/framework/ir/fc_lstm_fuse_pass.h @@ -27,6 +27,8 @@ namespace ir { // The MulLstmFusePass and MulLstmFusePass will fuse to the same FusionLstm op. // Just FC without bias +class Graph; + class FCLstmFusePass : public FusePassBase { public: virtual ~FCLstmFusePass() {} diff --git a/paddle/fluid/framework/ir/fuse_bn_act_pass.cc b/paddle/fluid/framework/ir/fuse_bn_act_pass.cc index 54c05046a2c2f2f56c20a32b8ca32578abe7af31..db3c711201dc76766b4ec29c9ce1590567971939 100644 --- a/paddle/fluid/framework/ir/fuse_bn_act_pass.cc +++ b/paddle/fluid/framework/ir/fuse_bn_act_pass.cc @@ -15,12 +15,17 @@ #include "paddle/fluid/framework/ir/fuse_bn_act_pass.h" #include #include -#include -#include -#include #include "paddle/fluid/framework/framework.pb.h" #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/platform/enforce.h" + +namespace paddle { +namespace framework { +namespace ir { +class Node; +} // namespace ir +} // namespace framework +} // namespace paddle #ifdef PADDLE_WITH_CUDA #include "paddle/fluid/platform/cudnn_helper.h" #endif diff --git a/paddle/fluid/framework/ir/fuse_bn_act_pass.h b/paddle/fluid/framework/ir/fuse_bn_act_pass.h index 427ff03a803c991ee908dcd4e17379f19fd873af..7e5f046ecaa01cb1398b15cc572fb5bd00d0a5fe 100644 --- a/paddle/fluid/framework/ir/fuse_bn_act_pass.h +++ b/paddle/fluid/framework/ir/fuse_bn_act_pass.h @@ -18,6 +18,7 @@ #include #include #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -30,6 +31,9 @@ namespace ir { /* * Fuse the BatchNorm and activation. */ +class Graph; +class Node; + class FuseBatchNormActPass : public FusePassBase { public: virtual ~FuseBatchNormActPass() {} diff --git a/paddle/fluid/framework/ir/fuse_elewise_add_act_pass.h b/paddle/fluid/framework/ir/fuse_elewise_add_act_pass.h index dc73f1fda03e130c6876819d91897b497b8b321e..d9356b7bd7221347eec3a9bc5f3ebb7ffd6ecde9 100644 --- a/paddle/fluid/framework/ir/fuse_elewise_add_act_pass.h +++ b/paddle/fluid/framework/ir/fuse_elewise_add_act_pass.h @@ -17,6 +17,7 @@ #include #include #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -29,6 +30,9 @@ namespace ir { /* * Fuse the ElewiseAdd and activation */ +class Graph; +class Node; + class FuseElewiseAddActPass : public FusePassBase { public: virtual ~FuseElewiseAddActPass() {} diff --git a/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_adam_op_pass.cc b/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_adam_op_pass.cc index c284c1f4587cd6dd5c8eacc43968f45e4fbef699..0094b674c2a176605f1fb13c2a759d75833f20a3 100644 --- a/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_adam_op_pass.cc +++ b/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_adam_op_pass.cc @@ -11,19 +11,22 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -#include +#include #include -#include -#include -#include +#include "glog/logging.h" #include "paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_optimizer_op_pass.h" -#include "paddle/fluid/framework/op_registry.h" +#include "paddle/fluid/framework/ir/graph.h" +#include "paddle/fluid/framework/ir/pass.h" +#include "paddle/fluid/framework/op_desc.h" +#include "paddle/fluid/platform/enforce.h" namespace paddle { namespace framework { namespace ir { +class Node; + class FuseAdamOpPass : public FuseOptimizerOpPass { private: const std::string GetOpType() const { return "adam"; } diff --git a/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_momentum_op_pass.cc b/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_momentum_op_pass.cc index 43ec8bff5edc10cbfc48c06a2e35a5a46ed7043c..f87d31cbc409c7c4db634e994738d106d2a8146e 100644 --- a/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_momentum_op_pass.cc +++ b/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_momentum_op_pass.cc @@ -12,18 +12,21 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include #include -#include -#include +#include "glog/logging.h" #include "paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_optimizer_op_pass.h" -#include "paddle/fluid/framework/op_registry.h" +#include "paddle/fluid/framework/ir/graph.h" +#include "paddle/fluid/framework/ir/pass.h" +#include "paddle/fluid/framework/op_desc.h" +#include "paddle/fluid/platform/enforce.h" namespace paddle { namespace framework { namespace ir { +class Node; + class FuseMomentumOpPass : public FuseOptimizerOpPass { private: virtual const std::string GetOpType() const { return "momentum"; } diff --git a/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_optimizer_op_pass.h b/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_optimizer_op_pass.h index 0b5bf8a3a4ba5d2d819529718cf018530d67d017..5b7e1b7d384c8211e22ea09ffd5e730bb3d70d6a 100644 --- a/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_optimizer_op_pass.h +++ b/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_optimizer_op_pass.h @@ -19,14 +19,25 @@ #include #include #include + #include "paddle/fluid/framework/details/build_strategy.h" #include "paddle/fluid/framework/details/multi_devices_helper.h" #include "paddle/fluid/framework/ir/graph.h" +namespace paddle { +namespace framework { +class BlockDesc; +class VarDesc; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { +class Graph; +class Node; + constexpr char kGrad[] = "Grad"; constexpr char kParam[] = "Param"; constexpr char kLearningRate[] = "LearningRate"; diff --git a/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_sgd_op_pass.cc b/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_sgd_op_pass.cc index 70d4d2b865230078889115b809d8617b4415cc99..720d252c9a6b4bac733fa1d836e24ec168ca10ad 100644 --- a/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_sgd_op_pass.cc +++ b/paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_sgd_op_pass.cc @@ -11,17 +11,21 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -#include #include -#include -#include +#include "glog/logging.h" #include "paddle/fluid/framework/ir/fuse_optimizer_ops_pass/fuse_optimizer_op_pass.h" -#include "paddle/fluid/framework/op_registry.h" +#include "paddle/fluid/framework/ir/graph.h" +#include "paddle/fluid/framework/ir/pass.h" +#include "paddle/fluid/framework/op_desc.h" +#include "paddle/fluid/platform/enforce.h" + namespace paddle { namespace framework { namespace ir { +class Node; + class FuseSgdOpPass : public FuseOptimizerOpPass { private: virtual const std::string GetOpType() const { return "sgd"; } diff --git a/paddle/fluid/framework/ir/fuse_pass_base.cc b/paddle/fluid/framework/ir/fuse_pass_base.cc index e6fb1302e275fa2635542baf824c5e3333c2f5c8..f3db4f02b1c5fd4f0a3ccab23fbeec767188e847 100644 --- a/paddle/fluid/framework/ir/fuse_pass_base.cc +++ b/paddle/fluid/framework/ir/fuse_pass_base.cc @@ -15,10 +15,18 @@ #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { +class Graph; + void FusePassBase::Init(const std::string& repr, Graph* graph) const { repr_ = repr; graph_ = graph; diff --git a/paddle/fluid/framework/ir/fuse_pass_base.h b/paddle/fluid/framework/ir/fuse_pass_base.h index 3a1022bbcbd671391fb034bdff7c3cf97952f84d..ce7635bb35ce6108b4a5a356c8fb99269dbf2890 100644 --- a/paddle/fluid/framework/ir/fuse_pass_base.h +++ b/paddle/fluid/framework/ir/fuse_pass_base.h @@ -15,14 +15,24 @@ #pragma once #include + #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/pass.h" #include "paddle/fluid/framework/scope.h" +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { +class Graph; +class Node; + static const char kParamScopeAttr[] = "__param_scope__"; static const char kFuseStatisAttr[] = "__fuse_statis__"; // When we use trt or other third_party lib, the parameters are managed by diff --git a/paddle/fluid/framework/ir/fuse_relu_depthwise_conv_pass.h b/paddle/fluid/framework/ir/fuse_relu_depthwise_conv_pass.h index d37c153dd2a05ecfc8f0626626bbc3ed2f85968b..0b1dfaa6928b8d1bab7e08cc668e00ac30bbffff 100644 --- a/paddle/fluid/framework/ir/fuse_relu_depthwise_conv_pass.h +++ b/paddle/fluid/framework/ir/fuse_relu_depthwise_conv_pass.h @@ -15,6 +15,7 @@ #include #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -27,6 +28,8 @@ namespace ir { /* * Fuse the relu and depthwise conv */ +class Graph; + class FuseReluDepthwiseConvPass : public FusePassBase { public: virtual ~FuseReluDepthwiseConvPass() {} diff --git a/paddle/fluid/framework/ir/fusion_group/code_generator.h b/paddle/fluid/framework/ir/fusion_group/code_generator.h index 21773f239b9f6e5208aea45f481bf6f92745033f..15d21cf6829d40bfcdf143f1285ebefe43037056 100644 --- a/paddle/fluid/framework/ir/fusion_group/code_generator.h +++ b/paddle/fluid/framework/ir/fusion_group/code_generator.h @@ -19,6 +19,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/ir/fusion_group/code_generator_helper.h" #include "paddle/fluid/framework/ir/fusion_group/subgraph.h" @@ -27,6 +28,8 @@ namespace framework { namespace ir { namespace fusion_group { +class SubGraph; + class CodeGenerator { public: CodeGenerator(); diff --git a/paddle/fluid/framework/ir/fusion_group/code_generator_tester.cc b/paddle/fluid/framework/ir/fusion_group/code_generator_tester.cc index ebc89b14c265d3491f0f9bc64a36f52c6c9f2a18..2a7a0748cf0e6569b9be61bc84c1c7e1b0a29820 100644 --- a/paddle/fluid/framework/ir/fusion_group/code_generator_tester.cc +++ b/paddle/fluid/framework/ir/fusion_group/code_generator_tester.cc @@ -12,18 +12,22 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include "paddle/fluid/framework/ir/fusion_group/code_generator.h" #include #include #include #include + +#include "paddle/fluid/framework/ir/fusion_group/code_generator.h" #include "paddle/fluid/framework/ir/fusion_group/operation.h" #include "paddle/fluid/framework/ir/pass_tester_helper.h" -#include "paddle/fluid/framework/lod_tensor.h" -#include "paddle/fluid/operators/math.h" #include "paddle/fluid/platform/device_code.h" #include "paddle/fluid/platform/float16.h" -#include "paddle/fluid/platform/init.h" + +namespace paddle { +namespace framework { +class LoDTensor; +} // namespace framework +} // namespace paddle #ifdef PADDLE_WITH_CUDA diff --git a/paddle/fluid/framework/ir/fusion_group/elementwise_group_detector.h b/paddle/fluid/framework/ir/fusion_group/elementwise_group_detector.h index 0861c2f7e96349d2d0d36d21e6ab19d98c2910e3..96b38f650131dae53450330b5f3368d42a7e52fa 100644 --- a/paddle/fluid/framework/ir/fusion_group/elementwise_group_detector.h +++ b/paddle/fluid/framework/ir/fusion_group/elementwise_group_detector.h @@ -15,9 +15,18 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/node.h" +namespace paddle { +namespace framework { +namespace ir { +class Node; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { diff --git a/paddle/fluid/framework/ir/fusion_group/fusion_group_pass.h b/paddle/fluid/framework/ir/fusion_group/fusion_group_pass.h index 3438783c180d7c45c506a9244e6a612db0b67138..5ca785846a522aaa2cf41ed0f24edb1a8ae3fa45 100644 --- a/paddle/fluid/framework/ir/fusion_group/fusion_group_pass.h +++ b/paddle/fluid/framework/ir/fusion_group/fusion_group_pass.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/fusion_group/subgraph.h" @@ -23,6 +24,11 @@ namespace paddle { namespace framework { namespace ir { +class Graph; +namespace fusion_group { +class SubGraph; +} // namespace fusion_group + class FusionGroupPass : public FusePassBase { protected: void ApplyImpl(Graph* graph) const override; diff --git a/paddle/fluid/framework/ir/fusion_group/operation.h b/paddle/fluid/framework/ir/fusion_group/operation.h index 74abbdaad0bdfbd6115f47cc1fc5f53608b7f744..d99fe737504e52e0867f531c7cfa03d0dfbf07a4 100644 --- a/paddle/fluid/framework/ir/fusion_group/operation.h +++ b/paddle/fluid/framework/ir/fusion_group/operation.h @@ -18,6 +18,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/platform/enforce.h" namespace paddle { diff --git a/paddle/fluid/framework/ir/graph.h b/paddle/fluid/framework/ir/graph.h index 137ab7a56d7c409326b4ed6d0f4b2b881f50eaea..593ac214e56f9722538c89ff80ec9d6b98fcd8ae 100644 --- a/paddle/fluid/framework/ir/graph.h +++ b/paddle/fluid/framework/ir/graph.h @@ -25,6 +25,13 @@ limitations under the License. */ #include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/variant.h" +namespace paddle { +namespace framework { +class OpDesc; +class VarDesc; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/ir/graph_helper.h b/paddle/fluid/framework/ir/graph_helper.h index 074ad320fb122bd49fe144f803b47ec9768b3504..0c43febca70b7d44be6c399263d11a5900f9b109 100644 --- a/paddle/fluid/framework/ir/graph_helper.h +++ b/paddle/fluid/framework/ir/graph_helper.h @@ -28,6 +28,8 @@ namespace framework { namespace ir { // Compare nodes via node id. +class Graph; + struct NodeComp { bool operator()(ir::Node *const &node1, ir::Node *const &node2) const { return node1->id() < node2->id(); diff --git a/paddle/fluid/framework/ir/graph_helper_test.cc b/paddle/fluid/framework/ir/graph_helper_test.cc index d8973d5aeda1a2e0650a506b4c916b4346f01e2d..0a2dcfed000c9f4bbddc280912dc8966044c265d 100644 --- a/paddle/fluid/framework/ir/graph_helper_test.cc +++ b/paddle/fluid/framework/ir/graph_helper_test.cc @@ -13,7 +13,6 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/ir/graph.h" -#include #include "gtest/gtest.h" #include "paddle/fluid/framework/ir/graph_helper.h" #include "paddle/fluid/framework/program_desc.h" diff --git a/paddle/fluid/framework/ir/graph_pattern_detector.cc b/paddle/fluid/framework/ir/graph_pattern_detector.cc index 9c1eaa99a3ca04ddbeecab639d5587d5509e3f00..96952e20c2158453df0d94c9e43c64bb6bb1e04f 100644 --- a/paddle/fluid/framework/ir/graph_pattern_detector.cc +++ b/paddle/fluid/framework/ir/graph_pattern_detector.cc @@ -1894,8 +1894,7 @@ PDNode *patterns::QuantizePlacement::operator()( PDNode *patterns::Bfloat16Placement::operator()( const std::unordered_set &bfloat16_enabled_op_types) { - std::unordered_set supported_op_types = - std::unordered_set(); + std::unordered_set supported_op_types{"conv2d"}; if (!bfloat16_enabled_op_types.empty()) { supported_op_types = bfloat16_enabled_op_types; } diff --git a/paddle/fluid/framework/ir/graph_pattern_detector.h b/paddle/fluid/framework/ir/graph_pattern_detector.h index 053c1fe832b0088d2abdd3f8eb40a0042e5e2dfe..7116b8a2a6f353fc40fcba86e8cba3b2f37855bc 100644 --- a/paddle/fluid/framework/ir/graph_pattern_detector.h +++ b/paddle/fluid/framework/ir/graph_pattern_detector.h @@ -27,11 +27,21 @@ #include #include #include + #include "paddle/fluid/framework/framework.pb.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/node.h" #include "paddle/fluid/inference/analysis/dot.h" +namespace paddle { +namespace framework { +namespace ir { +class Graph; +class Node; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { diff --git a/paddle/fluid/framework/ir/graph_pattern_detector_tester.cc b/paddle/fluid/framework/ir/graph_pattern_detector_tester.cc index 6c466fb21fb46e09961dc874e9e39655f83d17c6..5ac5a5d983992746c8bbbb318c41d04a0cf76fae 100644 --- a/paddle/fluid/framework/ir/graph_pattern_detector_tester.cc +++ b/paddle/fluid/framework/ir/graph_pattern_detector_tester.cc @@ -12,14 +12,16 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "paddle/fluid/framework/ir/graph_pattern_detector.h" - #include +#include "paddle/fluid/framework/ir/graph_pattern_detector.h" + namespace paddle { namespace framework { namespace ir { +class Node; + void BuildGraph(Graph* g) { ir::Node* o1 = g->CreateEmptyNode("op1", Node::Type::kOperation); ir::Node* o2 = g->CreateEmptyNode("op2", Node::Type::kOperation); diff --git a/paddle/fluid/framework/ir/graph_to_program_pass.h b/paddle/fluid/framework/ir/graph_to_program_pass.h index 52c8f4e0fcafcd42647b323a20fee7c7cf167b3a..6b17c0076f6fd7c8b7e64f96cda4ee9835236913 100644 --- a/paddle/fluid/framework/ir/graph_to_program_pass.h +++ b/paddle/fluid/framework/ir/graph_to_program_pass.h @@ -20,6 +20,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + const char kGraphToProgramVarsToRemove[] = "__graph_to_program_vars_to_remove__"; const char kGraphToProgramSortKind[] = "__graph_to_program_sort_kind__"; diff --git a/paddle/fluid/framework/ir/graph_to_program_pass_test.cc b/paddle/fluid/framework/ir/graph_to_program_pass_test.cc index 5ee6b8a5f1e4e7415adfac6b51e9d3ae8e3062a9..80d7839d700b6de370d1ad8eb0d3ec7884571d4b 100644 --- a/paddle/fluid/framework/ir/graph_to_program_pass_test.cc +++ b/paddle/fluid/framework/ir/graph_to_program_pass_test.cc @@ -13,7 +13,6 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/ir/graph_to_program_pass.h" - #include #include #include @@ -25,6 +24,8 @@ namespace paddle { namespace framework { namespace ir { +class Node; + void BuildNoCircleGraph(Graph* g) { OpDesc op1; op1.SetType("op1"); diff --git a/paddle/fluid/framework/ir/graph_traits.cc b/paddle/fluid/framework/ir/graph_traits.cc index 4b403c46260c6129451809f276aac67ccc17c4d4..3fa84554d99bc46f094fecabe67a58e5b1d7e73b 100644 --- a/paddle/fluid/framework/ir/graph_traits.cc +++ b/paddle/fluid/framework/ir/graph_traits.cc @@ -13,10 +13,7 @@ // limitations under the License. #include "paddle/fluid/framework/ir/graph_traits.h" - #include -#include -#include namespace paddle { namespace framework { @@ -25,6 +22,8 @@ namespace ir { // // NodesDFSIterator // +class Node; + NodesDFSIterator::NodesDFSIterator(const std::vector &source) { for (auto *x : source) stack_.push(x); } diff --git a/paddle/fluid/framework/ir/graph_traits.h b/paddle/fluid/framework/ir/graph_traits.h index bb4212bcd33d77cfe1c091b18387e18c4c3e5fa7..a54cc61a63fdee3e35b6fc38da71070b4411e26c 100644 --- a/paddle/fluid/framework/ir/graph_traits.h +++ b/paddle/fluid/framework/ir/graph_traits.h @@ -26,6 +26,9 @@ namespace paddle { namespace framework { namespace ir { +class Graph; +class Node; + template class iterator_range { IteratorT begin_, end_; diff --git a/paddle/fluid/framework/ir/graph_viz_pass.h b/paddle/fluid/framework/ir/graph_viz_pass.h index 7091aa6a95bd9ebde10bfbd45c98f8757b9d06c4..118c1bc6f3c78e6ec05c897939343df83b1c3851 100644 --- a/paddle/fluid/framework/ir/graph_viz_pass.h +++ b/paddle/fluid/framework/ir/graph_viz_pass.h @@ -28,6 +28,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + const char kGraphvizMarkedNodeAttr[] = "__graphviz__marked_node__"; class GraphVizPass : public Pass { diff --git a/paddle/fluid/framework/ir/identity_scale_op_clean_pass.cc b/paddle/fluid/framework/ir/identity_scale_op_clean_pass.cc index c8dfa02f469a351a8d3495bf19238a723029bb4b..08d09fce5de9c932243f70b18a4c45dc88885b58 100644 --- a/paddle/fluid/framework/ir/identity_scale_op_clean_pass.cc +++ b/paddle/fluid/framework/ir/identity_scale_op_clean_pass.cc @@ -20,6 +20,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + void IdentityScaleOpCleanPass::ApplyImpl(ir::Graph* graph) const { FusePassBase::Init("identity_scale_op_clean", graph); diff --git a/paddle/fluid/framework/ir/identity_scale_op_clean_pass.h b/paddle/fluid/framework/ir/identity_scale_op_clean_pass.h index d66b411257e530fa5188091702b0b309652ffaa4..7e3d4e19fa84deccce889d18a7840baeff21cfb3 100644 --- a/paddle/fluid/framework/ir/identity_scale_op_clean_pass.h +++ b/paddle/fluid/framework/ir/identity_scale_op_clean_pass.h @@ -20,6 +20,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + class IdentityScaleOpCleanPass : public FusePassBase { protected: void ApplyImpl(ir::Graph* graph) const override; diff --git a/paddle/fluid/framework/ir/is_test_pass.cc b/paddle/fluid/framework/ir/is_test_pass.cc index bf6fe999c1e68c35bc2c19fe38646da93bb1e204..9c1640efcd851c3ba951aa0843c22ad7a000dce5 100644 --- a/paddle/fluid/framework/ir/is_test_pass.cc +++ b/paddle/fluid/framework/ir/is_test_pass.cc @@ -20,6 +20,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + void IsTestPass::ApplyImpl(ir::Graph* graph) const { VLOG(3) << "Sets is_test attrbiute to true and if it is missing, inserts it " "for activations and pooling."; diff --git a/paddle/fluid/framework/ir/is_test_pass.h b/paddle/fluid/framework/ir/is_test_pass.h index 80cedbf9f850f6fe31c9f2898264e19ebf931c72..abf48480d71aefcf85ba6aec946750114cce5482 100644 --- a/paddle/fluid/framework/ir/is_test_pass.h +++ b/paddle/fluid/framework/ir/is_test_pass.h @@ -20,6 +20,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + class IsTestPass : public Pass { protected: void ApplyImpl(ir::Graph* graph) const override; diff --git a/paddle/fluid/framework/ir/lock_free_optimize_pass.h b/paddle/fluid/framework/ir/lock_free_optimize_pass.h index f38f48fcd92a6b672254b3d1dda44671652b8ddb..26ec61fd36eb3c309d864221b41681f3d712d81f 100644 --- a/paddle/fluid/framework/ir/lock_free_optimize_pass.h +++ b/paddle/fluid/framework/ir/lock_free_optimize_pass.h @@ -27,6 +27,7 @@ namespace framework { namespace ir { class Node; +class Graph; /* * Remove the sum op of all gradients of the backward op. diff --git a/paddle/fluid/framework/ir/memory_optimize_pass/buffer_shared_cross_op_memory_reuse_pass.cc b/paddle/fluid/framework/ir/memory_optimize_pass/buffer_shared_cross_op_memory_reuse_pass.cc index b1afa47910fadfaf3560d15cb0bbe88ae0da7371..b12b84d4a491b3747a59b99b52903ddff2509fdf 100644 --- a/paddle/fluid/framework/ir/memory_optimize_pass/buffer_shared_cross_op_memory_reuse_pass.cc +++ b/paddle/fluid/framework/ir/memory_optimize_pass/buffer_shared_cross_op_memory_reuse_pass.cc @@ -12,24 +12,23 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include #include -#include -#include -#include + +#include "glog/logging.h" #include "paddle/fluid/framework/details/computation_op_handle.h" -#include "paddle/fluid/framework/details/multi_devices_helper.h" -#include "paddle/fluid/framework/details/share_tensor_buffer_op_handle.h" -#include "paddle/fluid/framework/ir/memory_optimize_pass/memory_optimization_var_info.h" +#include "paddle/fluid/framework/details/op_handle_base.h" +#include "paddle/fluid/framework/details/var_handle.h" #include "paddle/fluid/framework/ir/memory_optimize_pass/memory_reuse_pass.h" #include "paddle/fluid/framework/ir/memory_optimize_pass/op_graph_view.h" -#include "paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.h" #include "paddle/fluid/framework/ir/pass.h" +#include "paddle/fluid/platform/enforce.h" namespace paddle { namespace framework { namespace ir { +class Graph; + using OpHandleBase = details::OpHandleBase; using ComputationOpHandle = details::ComputationOpHandle; using VarHandle = details::VarHandle; diff --git a/paddle/fluid/framework/ir/memory_optimize_pass/buffer_shared_inplace_op_pass.cc b/paddle/fluid/framework/ir/memory_optimize_pass/buffer_shared_inplace_op_pass.cc index ce7f27d27559c70cf164f6bb641fa0ee6f02a2a0..0cdde5c757aaf0e73281f889dff63d2ca1049f52 100644 --- a/paddle/fluid/framework/ir/memory_optimize_pass/buffer_shared_inplace_op_pass.cc +++ b/paddle/fluid/framework/ir/memory_optimize_pass/buffer_shared_inplace_op_pass.cc @@ -13,6 +13,7 @@ // limitations under the License. #include + #include #include #include @@ -22,13 +23,15 @@ #include "paddle/fluid/framework/details/share_tensor_buffer_op_handle.h" #include "paddle/fluid/framework/ir/memory_optimize_pass/memory_optimization_var_info.h" #include "paddle/fluid/framework/ir/memory_optimize_pass/memory_reuse_pass.h" -#include "paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.h" #include "paddle/fluid/framework/ir/pass.h" +#include "paddle/fluid/platform/enforce.h" namespace paddle { namespace framework { namespace ir { +class Graph; + class BufferSharedInplaceOpPass : public MemoryReusePass { protected: std::string ReuseType() const override { return "inplace"; } diff --git a/paddle/fluid/framework/ir/memory_optimize_pass/memory_reuse_pass.cc b/paddle/fluid/framework/ir/memory_optimize_pass/memory_reuse_pass.cc index 3e3b9864a7b408267ac73de053c1692628e9a14c..72e29dfe156e83db06f78d025106b564064b955d 100644 --- a/paddle/fluid/framework/ir/memory_optimize_pass/memory_reuse_pass.cc +++ b/paddle/fluid/framework/ir/memory_optimize_pass/memory_reuse_pass.cc @@ -16,10 +16,15 @@ #include #include -#include -#include -#include -#include + +namespace paddle { +namespace framework { +namespace details { +class ComputationOpHandle; +class ShareTensorBufferOpHandle; +} // namespace details +} // namespace framework +} // namespace paddle namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/ir/memory_optimize_pass/memory_reuse_pass.h b/paddle/fluid/framework/ir/memory_optimize_pass/memory_reuse_pass.h index 1c0c6ae60205b14f97bd15bceeb126d0eb54f654..4a77d116f1e9bb425b5f3375b2d4c650017c2f75 100644 --- a/paddle/fluid/framework/ir/memory_optimize_pass/memory_reuse_pass.h +++ b/paddle/fluid/framework/ir/memory_optimize_pass/memory_reuse_pass.h @@ -28,6 +28,17 @@ #include "paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.h" #include "paddle/fluid/framework/ir/pass.h" +namespace paddle { +namespace framework { +class VarDesc; +namespace details { +class ComputationOpHandle; +class ShareTensorBufferOpHandle; +struct VarHandle; +} // namespace details +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { @@ -71,6 +82,8 @@ namespace ir { * a pass to clean all ShareTensorBufferOpHandles and move sharing to * ComputationOpHandle::Run() in the future. */ +class Graph; + class MemoryReusePass : public Pass { protected: void ApplyImpl(Graph *graph) const final; diff --git a/paddle/fluid/framework/ir/memory_optimize_pass/op_graph_view.cc b/paddle/fluid/framework/ir/memory_optimize_pass/op_graph_view.cc index 11c2508afb5747b6f0f3bba06c68448fef7d384a..7de62d6e48249203ce22a8aaccc2f9b68b16c54c 100644 --- a/paddle/fluid/framework/ir/memory_optimize_pass/op_graph_view.cc +++ b/paddle/fluid/framework/ir/memory_optimize_pass/op_graph_view.cc @@ -13,8 +13,14 @@ // limitations under the License. #include "paddle/fluid/framework/ir/memory_optimize_pass/op_graph_view.h" -#include -#include + +namespace paddle { +namespace framework { +namespace details { +class OpHandleBase; +} // namespace details +} // namespace framework +} // namespace paddle namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/ir/memory_optimize_pass/op_graph_view.h b/paddle/fluid/framework/ir/memory_optimize_pass/op_graph_view.h index 5fb2caedba85d2892e18db5e84067c2d2ebada6e..d6f286afc559064fc97ddc7b936651878fa3a0d0 100644 --- a/paddle/fluid/framework/ir/memory_optimize_pass/op_graph_view.h +++ b/paddle/fluid/framework/ir/memory_optimize_pass/op_graph_view.h @@ -18,8 +18,17 @@ #include #include #include + #include "paddle/fluid/framework/details/op_handle_base.h" +namespace paddle { +namespace framework { +namespace details { +class OpHandleBase; +} // namespace details +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { diff --git a/paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.cc b/paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.cc index ed87f73adf137fdf545209f36f996417031fcda4..e85be0272de7fc1eb997f0ff9385e41dc8514680 100644 --- a/paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.cc +++ b/paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.cc @@ -13,8 +13,6 @@ // limitations under the License. #include "paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.h" -#include "paddle/fluid/framework/details/var_handle.h" -#include "paddle/fluid/framework/var_desc.h" namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.h b/paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.h index 0e8f4e78d22db0aad8a8120b10ee916ade21829d..d00e4f53022f4c8084438fa9f36a58685672c30d 100644 --- a/paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.h +++ b/paddle/fluid/framework/ir/memory_optimize_pass/reference_count_pass_helper.h @@ -30,6 +30,9 @@ namespace paddle { namespace framework { class VarDesc; +namespace details { +struct VarHandle; +} // namespace details namespace ir { diff --git a/paddle/fluid/framework/ir/mkldnn/conv_activation_mkldnn_fuse_pass.cc b/paddle/fluid/framework/ir/mkldnn/conv_activation_mkldnn_fuse_pass.cc index 45ff275d530857690d1f169bbcf60a99952ae2c2..c33398553ecd2cbe291e9cc605aa23ce318e9efe 100644 --- a/paddle/fluid/framework/ir/mkldnn/conv_activation_mkldnn_fuse_pass.cc +++ b/paddle/fluid/framework/ir/mkldnn/conv_activation_mkldnn_fuse_pass.cc @@ -13,14 +13,22 @@ // limitations under the License. #include "paddle/fluid/framework/ir/mkldnn/conv_activation_mkldnn_fuse_pass.h" -#include #include +#include "paddle/fluid/framework/op_version_registry.h" #include "paddle/fluid/platform/enforce.h" +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { +class Graph; + void ConvActivationFusePass::ApplyImpl(ir::Graph* graph) const { PADDLE_ENFORCE_NOT_NULL( graph, platform::errors::InvalidArgument("Graph cannot be nullptr.")); @@ -96,12 +104,32 @@ REGISTER_PASS(conv_activation_mkldnn_fuse_pass, REGISTER_PASS(conv_relu_mkldnn_fuse_pass, paddle::framework::ir::ConvActivationFusePass); +REGISTER_PASS_CAPABILITY(conv_relu_mkldnn_fuse_pass) + .AddCombination( + paddle::framework::compatible::OpVersionComparatorCombination() + .EQ("conv2d", 0) + .EQ("relu", 0)); REGISTER_PASS(conv_leaky_relu_mkldnn_fuse_pass, paddle::framework::ir::Conv2DLeakyReLUFusePass); +REGISTER_PASS_CAPABILITY(conv_leaky_relu_mkldnn_fuse_pass) + .AddCombination( + paddle::framework::compatible::OpVersionComparatorCombination() + .EQ("conv2d", 0) + .LE("leaky_relu", 1)); REGISTER_PASS(conv_relu6_mkldnn_fuse_pass, paddle::framework::ir::Conv2DReLU6FusePass); +REGISTER_PASS_CAPABILITY(conv_relu6_mkldnn_fuse_pass) + .AddCombination( + paddle::framework::compatible::OpVersionComparatorCombination() + .EQ("conv2d", 0) + .EQ("relu6", 0)); REGISTER_PASS(conv_swish_mkldnn_fuse_pass, paddle::framework::ir::Conv2DSwishFusePass); +REGISTER_PASS_CAPABILITY(conv_swish_mkldnn_fuse_pass) + .AddCombination( + paddle::framework::compatible::OpVersionComparatorCombination() + .EQ("conv2d", 0) + .EQ("swish", 0)); diff --git a/paddle/fluid/framework/ir/mkldnn/conv_activation_mkldnn_fuse_pass.h b/paddle/fluid/framework/ir/mkldnn/conv_activation_mkldnn_fuse_pass.h index ac15fc0451285d4d5575dbc08f430625912ac823..be6b1e07c022b718b1998b89044589ad2d3567d2 100644 --- a/paddle/fluid/framework/ir/mkldnn/conv_activation_mkldnn_fuse_pass.h +++ b/paddle/fluid/framework/ir/mkldnn/conv_activation_mkldnn_fuse_pass.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -26,6 +27,8 @@ namespace ir { /* * Fuse Conv and Activation base class. */ +class Graph; + class ConvActivationFusePass : public FusePassBase { public: virtual ~ConvActivationFusePass() {} diff --git a/paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.cc b/paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.cc index f7a8e3e3f6c3c77e978c57eeb7515d8cfce86471..63524294b68ef1199d49bb9deeaf80f5526c6eff 100644 --- a/paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.cc +++ b/paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.cc @@ -14,7 +14,6 @@ #include "paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.h" #include -#include #include #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_version_registry.h" diff --git a/paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.h b/paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.h index 833fbc748ebd03377ebaa6a5fa72d334ff8b7d37..9a83310ebfb558f4744ae508155d8aa8d01a39c7 100644 --- a/paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.h +++ b/paddle/fluid/framework/ir/mkldnn/conv_bias_mkldnn_fuse_pass.h @@ -13,16 +13,20 @@ // limitations under the License. #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" #include "paddle/fluid/framework/ir/pass.h" + namespace paddle { namespace framework { namespace ir { /* * Fuse the Conv and Elementwise_add to a ConvBiasOp. */ +class Graph; + class ConvBiasFusePass : public FusePassBase { public: virtual ~ConvBiasFusePass() {} diff --git a/paddle/fluid/framework/ir/mkldnn/conv_concat_relu_mkldnn_fuse_pass.cc b/paddle/fluid/framework/ir/mkldnn/conv_concat_relu_mkldnn_fuse_pass.cc index af64cb22054e9f2ea751bb993a39e8be563ae458..76e102125501144cbfd06ced2c88b4f1e02e261b 100644 --- a/paddle/fluid/framework/ir/mkldnn/conv_concat_relu_mkldnn_fuse_pass.cc +++ b/paddle/fluid/framework/ir/mkldnn/conv_concat_relu_mkldnn_fuse_pass.cc @@ -14,12 +14,15 @@ #include "paddle/fluid/framework/ir/mkldnn/conv_concat_relu_mkldnn_fuse_pass.h" #include +#include "paddle/fluid/framework/op_version_registry.h" #include "paddle/fluid/platform/enforce.h" namespace paddle { namespace framework { namespace ir { +class Graph; + void ConvConcatReLUFusePass::FindConcatWithConvs( ir::Graph* graph, std::unordered_map* concat_with_convs_counter) const { @@ -121,3 +124,10 @@ void ConvConcatReLUFusePass::ApplyImpl(ir::Graph* graph) const { REGISTER_PASS(conv_concat_relu_mkldnn_fuse_pass, paddle::framework::ir::ConvConcatReLUFusePass); + +REGISTER_PASS_CAPABILITY(conv_concat_relu_mkldnn_fuse_pass) + .AddCombination( + paddle::framework::compatible::OpVersionComparatorCombination() + .EQ("conv2d", 0) + .EQ("concat", 0) + .EQ("relu", 0)); diff --git a/paddle/fluid/framework/ir/mkldnn/conv_concat_relu_mkldnn_fuse_pass.h b/paddle/fluid/framework/ir/mkldnn/conv_concat_relu_mkldnn_fuse_pass.h index 91ff0760f0483c41cb5be5507426290c90142b13..f1faa84f3d59b736b35ee2c206976c899d3366bf 100644 --- a/paddle/fluid/framework/ir/mkldnn/conv_concat_relu_mkldnn_fuse_pass.h +++ b/paddle/fluid/framework/ir/mkldnn/conv_concat_relu_mkldnn_fuse_pass.h @@ -16,6 +16,7 @@ #include #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -30,6 +31,8 @@ namespace ir { * to a: * (multi ConvReLU) -> Concat -> next_op. */ +class Graph; + class ConvConcatReLUFusePass : public FusePassBase { public: virtual ~ConvConcatReLUFusePass() {} diff --git a/paddle/fluid/framework/ir/mkldnn/conv_elementwise_add_mkldnn_fuse_pass.h b/paddle/fluid/framework/ir/mkldnn/conv_elementwise_add_mkldnn_fuse_pass.h index b95aec34d30745d99f6066e36f19c883927e2b53..2ba4c80678f0890b05c6d4c9822d8c5c9a032dc4 100644 --- a/paddle/fluid/framework/ir/mkldnn/conv_elementwise_add_mkldnn_fuse_pass.h +++ b/paddle/fluid/framework/ir/mkldnn/conv_elementwise_add_mkldnn_fuse_pass.h @@ -28,6 +28,13 @@ namespace paddle { namespace framework { namespace ir { +class Graph; +class GraphPatternDetector; +class Node; +namespace patterns { +struct Conv; +} // namespace patterns + using graph_ptr = ir::Graph*; using GraphWithStats = std::pair; diff --git a/paddle/fluid/framework/ir/mkldnn/cpu_quantize_pass.cc b/paddle/fluid/framework/ir/mkldnn/cpu_quantize_pass.cc index aa0979b4be64ae3ccebbd7cc82abcf4a4712527a..0254b5e75735152e4720116e8d47b998608f1a01 100644 --- a/paddle/fluid/framework/ir/mkldnn/cpu_quantize_pass.cc +++ b/paddle/fluid/framework/ir/mkldnn/cpu_quantize_pass.cc @@ -13,12 +13,11 @@ // limitations under the License. #include "paddle/fluid/framework/ir/mkldnn/cpu_quantize_pass.h" -#include + #include #include #include -#include "paddle/fluid/framework/eigen.h" -#include "paddle/fluid/platform/errors.h" + #include "paddle/fluid/platform/mkldnn_helper.h" #include "paddle/fluid/string/pretty_log.h" diff --git a/paddle/fluid/framework/ir/mkldnn/cpu_quantize_pass.h b/paddle/fluid/framework/ir/mkldnn/cpu_quantize_pass.h index 21219e7dca8c712a09650779f7ef803052a85748..bd87b31b781ec6217f3b084990fb22390b08925e 100644 --- a/paddle/fluid/framework/ir/mkldnn/cpu_quantize_pass.h +++ b/paddle/fluid/framework/ir/mkldnn/cpu_quantize_pass.h @@ -18,6 +18,7 @@ #include #include #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -31,6 +32,9 @@ namespace ir { * bool denotes whether quantization of the variable should be done to unsigned * type. */ +class Graph; +class Node; + using VarQuantScale = std::unordered_map>; diff --git a/paddle/fluid/framework/ir/mkldnn/cpu_quantize_placement_pass.cc b/paddle/fluid/framework/ir/mkldnn/cpu_quantize_placement_pass.cc index bc268a834780cad843a18a74bb7f50a639db103d..2146d833ddf82d4086f5036f0148e87d51062431 100644 --- a/paddle/fluid/framework/ir/mkldnn/cpu_quantize_placement_pass.cc +++ b/paddle/fluid/framework/ir/mkldnn/cpu_quantize_placement_pass.cc @@ -13,13 +13,14 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/ir/mkldnn/cpu_quantize_placement_pass.h" -#include #include namespace paddle { namespace framework { namespace ir { +class Graph; + void CPUQuantizePlacementPass::ApplyImpl(ir::Graph* graph) const { VLOG(3) << "Marks operators which are to be quantized."; const auto& excluded_ids_list = diff --git a/paddle/fluid/framework/ir/mkldnn/cpu_quantize_placement_pass.h b/paddle/fluid/framework/ir/mkldnn/cpu_quantize_placement_pass.h index f3229e59d6ffb97514adb9c871d4fb981fc964e0..474fa63f60e413132421c6cc06942413658388ab 100644 --- a/paddle/fluid/framework/ir/mkldnn/cpu_quantize_placement_pass.h +++ b/paddle/fluid/framework/ir/mkldnn/cpu_quantize_placement_pass.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -26,6 +27,8 @@ namespace ir { /* * Specifies which operators should be quantized. */ +class Graph; + class CPUQuantizePlacementPass : public FusePassBase { protected: void ApplyImpl(ir::Graph* graph) const override; diff --git a/paddle/fluid/framework/ir/mkldnn/cpu_quantize_squash_pass.cc b/paddle/fluid/framework/ir/mkldnn/cpu_quantize_squash_pass.cc index bc24c10d9d0ae545d0dc71160d66e02a9fdbd730..54ab244a99bd4cd555c37b47558b4492d46862f9 100644 --- a/paddle/fluid/framework/ir/mkldnn/cpu_quantize_squash_pass.cc +++ b/paddle/fluid/framework/ir/mkldnn/cpu_quantize_squash_pass.cc @@ -14,9 +14,10 @@ // limitations under the License. #include "paddle/fluid/framework/ir/mkldnn/cpu_quantize_squash_pass.h" -#include + #include #include + #include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/string/pretty_log.h" @@ -24,6 +25,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + using string::PrettyLogDetail; void CPUQuantizeSquashPass::FindNodesToKeep( diff --git a/paddle/fluid/framework/ir/mkldnn/cpu_quantize_squash_pass.h b/paddle/fluid/framework/ir/mkldnn/cpu_quantize_squash_pass.h index 98a518e4e532bb250459448e864a4fb89d55686f..d1465f9da5cc2f7973cf67c1d455984e475d79e2 100644 --- a/paddle/fluid/framework/ir/mkldnn/cpu_quantize_squash_pass.h +++ b/paddle/fluid/framework/ir/mkldnn/cpu_quantize_squash_pass.h @@ -17,6 +17,7 @@ #include #include #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -29,6 +30,8 @@ namespace ir { /* * Squash dequantize->quantize pair pattern into requantize op */ +class Graph; + class CPUQuantizeSquashPass : public FusePassBase { public: virtual ~CPUQuantizeSquashPass() {} diff --git a/paddle/fluid/framework/ir/mkldnn/depthwise_conv_mkldnn_pass.cc b/paddle/fluid/framework/ir/mkldnn/depthwise_conv_mkldnn_pass.cc index df5ba3314e637fefe930d4c45f431314dd7d8493..b2c0afdc754fb7aa3b3ffaf09e5b1961c080bcd6 100644 --- a/paddle/fluid/framework/ir/mkldnn/depthwise_conv_mkldnn_pass.cc +++ b/paddle/fluid/framework/ir/mkldnn/depthwise_conv_mkldnn_pass.cc @@ -13,6 +13,7 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/ir/mkldnn/depthwise_conv_mkldnn_pass.h" + #include "paddle/fluid/framework/ir/graph_pattern_detector.h" #include "paddle/fluid/framework/op_version_registry.h" @@ -20,6 +21,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + #define GET_NODE(id, pattern) \ PADDLE_ENFORCE_NE(subgraph.count(pattern.RetrieveNode(#id)), 0, \ platform::errors::InvalidArgument( \ diff --git a/paddle/fluid/framework/ir/mkldnn/depthwise_conv_mkldnn_pass.h b/paddle/fluid/framework/ir/mkldnn/depthwise_conv_mkldnn_pass.h index ca314afde57bbc5a339b2016a2540309b31f0598..0f4ecc71ad72020b089821a0cadc4156718230e8 100644 --- a/paddle/fluid/framework/ir/mkldnn/depthwise_conv_mkldnn_pass.h +++ b/paddle/fluid/framework/ir/mkldnn/depthwise_conv_mkldnn_pass.h @@ -20,6 +20,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + class DepthwiseConvMKLDNNPass : public FusePassBase { public: virtual ~DepthwiseConvMKLDNNPass() {} diff --git a/paddle/fluid/framework/ir/mkldnn/fc_mkldnn_pass.cc b/paddle/fluid/framework/ir/mkldnn/fc_mkldnn_pass.cc index 95afc5483763d11c07e7d316d9f5aa29f97172b8..6efa9f6b74995450f6758200acc414e1aa2bef7f 100644 --- a/paddle/fluid/framework/ir/mkldnn/fc_mkldnn_pass.cc +++ b/paddle/fluid/framework/ir/mkldnn/fc_mkldnn_pass.cc @@ -13,18 +13,21 @@ // limitations under the License. #include "paddle/fluid/framework/ir/mkldnn/fc_mkldnn_pass.h" -#include -#include -#include -#include -#include "paddle/fluid/framework/eigen.h" -#include "paddle/fluid/framework/lod_tensor.h" + #include "paddle/fluid/platform/enforce.h" +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { +class Graph; + void FCMKLDNNPass::ApplyImpl(ir::Graph* graph) const { PADDLE_ENFORCE_NOT_NULL(graph, platform::errors::InvalidArgument( diff --git a/paddle/fluid/framework/ir/mkldnn/fc_mkldnn_pass.h b/paddle/fluid/framework/ir/mkldnn/fc_mkldnn_pass.h index 97c6b242989591ccf24e52a969bfcedc4f377c3f..df02250394a191b9e863e2c0bd73578b235eb79d 100644 --- a/paddle/fluid/framework/ir/mkldnn/fc_mkldnn_pass.h +++ b/paddle/fluid/framework/ir/mkldnn/fc_mkldnn_pass.h @@ -13,6 +13,7 @@ // limitations under the License. #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -25,6 +26,8 @@ namespace ir { /* * Transpose weights of FC to comply with MKL-DNN interface */ +class Graph; + class FCMKLDNNPass : public FusePassBase { public: virtual ~FCMKLDNNPass() {} diff --git a/paddle/fluid/framework/ir/mkldnn/matmul_transpose_reshape_fuse_pass.cc b/paddle/fluid/framework/ir/mkldnn/matmul_transpose_reshape_fuse_pass.cc index 37c14e1d8e3b90f223c8dff7396d96594b9286d7..41b859f0af665eae6d9ccb6a08cd29db5ce67fdf 100644 --- a/paddle/fluid/framework/ir/mkldnn/matmul_transpose_reshape_fuse_pass.cc +++ b/paddle/fluid/framework/ir/mkldnn/matmul_transpose_reshape_fuse_pass.cc @@ -15,6 +15,7 @@ #include "paddle/fluid/framework/ir/mkldnn/matmul_transpose_reshape_fuse_pass.h" #include #include +#include "paddle/fluid/framework/op_version_registry.h" #include "paddle/fluid/platform/enforce.h" namespace paddle { @@ -98,3 +99,10 @@ void MatmulTransposeReshapeMKLDNNPass::ApplyImpl(ir::Graph *graph) const { REGISTER_PASS(matmul_transpose_reshape_fuse_pass, paddle::framework::ir::MatmulTransposeReshapeMKLDNNPass); + +REGISTER_PASS_CAPABILITY(matmul_transpose_reshape_fuse_pass) + .AddCombination( + paddle::framework::compatible::OpVersionComparatorCombination() + .EQ("matmul", 0) + .EQ("transpose", 0) + .EQ("reshape", 0)); diff --git a/paddle/fluid/framework/ir/mkldnn/matmul_transpose_reshape_fuse_pass.h b/paddle/fluid/framework/ir/mkldnn/matmul_transpose_reshape_fuse_pass.h index 77e30b353467c7baca7baaac80b56e47ffef81ef..ef469bac40c4edbc524ef4b24c8df932819f0a3a 100644 --- a/paddle/fluid/framework/ir/mkldnn/matmul_transpose_reshape_fuse_pass.h +++ b/paddle/fluid/framework/ir/mkldnn/matmul_transpose_reshape_fuse_pass.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -22,6 +23,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + class MatmulTransposeReshapeMKLDNNPass : public FusePassBase { public: virtual ~MatmulTransposeReshapeMKLDNNPass() {} @@ -30,6 +33,6 @@ class MatmulTransposeReshapeMKLDNNPass : public FusePassBase { void ApplyImpl(Graph* graph) const override; const std::string name_scope_{"matmul_transpose_reshape_fuse"}; }; -} +} // namespace ir } // namespace framework } // namespace paddle diff --git a/paddle/fluid/framework/ir/mkldnn/mkldnn_placement_pass.h b/paddle/fluid/framework/ir/mkldnn/mkldnn_placement_pass.h index de699430189bfab7ccc16f0651781304bc36f8da..ca56a8900ca4f7edac7be095a0968555bf628124 100644 --- a/paddle/fluid/framework/ir/mkldnn/mkldnn_placement_pass.h +++ b/paddle/fluid/framework/ir/mkldnn/mkldnn_placement_pass.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include + #include "paddle/fluid/framework/ir/placement_pass_base.h" namespace paddle { diff --git a/paddle/fluid/framework/ir/mkldnn/reshape_transpose_matmul_mkldnn_fuse_pass.h b/paddle/fluid/framework/ir/mkldnn/reshape_transpose_matmul_mkldnn_fuse_pass.h index eab9f095623029e79a0d0f9b2697f45ac30bf3a9..7a53b3c498413e43eea7b2e4697791d36fed1149 100644 --- a/paddle/fluid/framework/ir/mkldnn/reshape_transpose_matmul_mkldnn_fuse_pass.h +++ b/paddle/fluid/framework/ir/mkldnn/reshape_transpose_matmul_mkldnn_fuse_pass.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -25,6 +26,8 @@ namespace ir { /* * Fuse Reshape->Transpose->MatMul when MatMul uses mkldnn. */ +class Graph; + class ReshapeTransposeMatmulMkldnnFusePass : public FusePassBase { public: virtual ~ReshapeTransposeMatmulMkldnnFusePass() {} diff --git a/paddle/fluid/framework/ir/mkldnn/scale_matmul_fuse_pass.cc b/paddle/fluid/framework/ir/mkldnn/scale_matmul_fuse_pass.cc index 6c87e437caa1b159c889a68b4d6f5b1790217ca1..0784a1a024cfd31cfb2d2a3ea205518416c2ad13 100644 --- a/paddle/fluid/framework/ir/mkldnn/scale_matmul_fuse_pass.cc +++ b/paddle/fluid/framework/ir/mkldnn/scale_matmul_fuse_pass.cc @@ -13,15 +13,20 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/ir/mkldnn/scale_matmul_fuse_pass.h" + #include #include + #include "paddle/fluid/framework/ir/graph_pattern_detector.h" +#include "paddle/fluid/framework/op_version_registry.h" #include "paddle/fluid/string/pretty_log.h" namespace paddle { namespace framework { namespace ir { +class Graph; + using string::PrettyLogDetail; void ScaleMatmulFusePass::ApplyImpl(ir::Graph* graph) const { @@ -86,3 +91,9 @@ void ScaleMatmulFusePass::ApplyImpl(ir::Graph* graph) const { REGISTER_PASS(scale_matmul_fuse_pass, paddle::framework::ir::ScaleMatmulFusePass); + +REGISTER_PASS_CAPABILITY(scale_matmul_fuse_pass) + .AddCombination( + paddle::framework::compatible::OpVersionComparatorCombination() + .EQ("scale", 0) + .EQ("matmul", 0)); diff --git a/paddle/fluid/framework/ir/mkldnn/scale_matmul_fuse_pass.h b/paddle/fluid/framework/ir/mkldnn/scale_matmul_fuse_pass.h index fe97b9681ce7b1c489833baa96187a50e595af3d..32ff78d9a73683c700ceb31a1505538ff7ee6119 100644 --- a/paddle/fluid/framework/ir/mkldnn/scale_matmul_fuse_pass.h +++ b/paddle/fluid/framework/ir/mkldnn/scale_matmul_fuse_pass.h @@ -20,6 +20,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + class ScaleMatmulFusePass : public FusePassBase { public: virtual ~ScaleMatmulFusePass() {} diff --git a/paddle/fluid/framework/ir/multi_batch_merge_pass.h b/paddle/fluid/framework/ir/multi_batch_merge_pass.h index a89616683d9c625111272fd8c1de237a5c9dbe8f..ae2e68c6003a1ce2e953c1231792e674ae7cafd7 100644 --- a/paddle/fluid/framework/ir/multi_batch_merge_pass.h +++ b/paddle/fluid/framework/ir/multi_batch_merge_pass.h @@ -31,6 +31,8 @@ namespace ir { // sync training, we can simulate even large batch size as if we have more // GPUs. +class Graph; + class BatchMergePass : public Pass { public: virtual ~BatchMergePass() {} diff --git a/paddle/fluid/framework/ir/multi_devices_graph_pass/multi_devices_graph_pass.h b/paddle/fluid/framework/ir/multi_devices_graph_pass/multi_devices_graph_pass.h index bb6c80790746ee16e39ef8f7e251d54ac563242a..bb3586ba8048081f8b990e9e7eb6c85c3f6e1026 100644 --- a/paddle/fluid/framework/ir/multi_devices_graph_pass/multi_devices_graph_pass.h +++ b/paddle/fluid/framework/ir/multi_devices_graph_pass/multi_devices_graph_pass.h @@ -20,17 +20,32 @@ #include #include #include + #include "paddle/fluid/framework/details/build_strategy.h" #include "paddle/fluid/framework/details/multi_devices_helper.h" #include "paddle/fluid/framework/ir/graph.h" +namespace paddle { +namespace framework { +namespace details { +class OpHandleBase; +struct VarHandle; +} // namespace details +namespace ir { +class Graph; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace platform { class NCCLContextMap; +class NCCLCommunicator; } namespace framework { class Scope; + namespace ir { constexpr char kLossVarName[] = "loss_var_name"; diff --git a/paddle/fluid/framework/ir/multi_devices_graph_pass/sequential_execution_pass.cc b/paddle/fluid/framework/ir/multi_devices_graph_pass/sequential_execution_pass.cc index bcbd1e066cc1fd056f7de018a697fb842ad195eb..78e90f82bfbef344d4c8514838ce7dc99c474ebf 100644 --- a/paddle/fluid/framework/ir/multi_devices_graph_pass/sequential_execution_pass.cc +++ b/paddle/fluid/framework/ir/multi_devices_graph_pass/sequential_execution_pass.cc @@ -12,13 +12,14 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include -#include -#include -#include #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/pass.h" -#include "paddle/fluid/framework/op_proto_maker.h" + +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +} // namespace paddle namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/ir/multi_devices_graph_pass/set_reader_device_info_utils.h b/paddle/fluid/framework/ir/multi_devices_graph_pass/set_reader_device_info_utils.h index 0038790cae245805652ff58148cda2fea94b613b..d37b21f058434e8d46e0f00ad8613f353ccdfb42 100644 --- a/paddle/fluid/framework/ir/multi_devices_graph_pass/set_reader_device_info_utils.h +++ b/paddle/fluid/framework/ir/multi_devices_graph_pass/set_reader_device_info_utils.h @@ -17,10 +17,18 @@ #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/scope.h" +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { +class Graph; + void InitReaderQueueDeviceCount(Graph *graph, const Scope &scope, size_t dev_cnt); diff --git a/paddle/fluid/framework/ir/multihead_matmul_fuse_pass.cc b/paddle/fluid/framework/ir/multihead_matmul_fuse_pass.cc index 9d2b4ebaf8ccf33e175e46c08657e7eeed467055..d1fbc8396ba55523f3769a26ceaf9ef4e7fcf65e 100644 --- a/paddle/fluid/framework/ir/multihead_matmul_fuse_pass.cc +++ b/paddle/fluid/framework/ir/multihead_matmul_fuse_pass.cc @@ -13,11 +13,11 @@ // limitations under the License. #include "paddle/fluid/framework/ir/multihead_matmul_fuse_pass.h" -#include + #include #include #include -#include "paddle/fluid/framework/ddim.h" + #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_version_registry.h" #include "paddle/fluid/platform/errors.h" diff --git a/paddle/fluid/framework/ir/multihead_matmul_fuse_pass.h b/paddle/fluid/framework/ir/multihead_matmul_fuse_pass.h index 0afa00fc62aa79c8a63350bc63cfe464999ca0e4..f5327dc71080be9edff30855a157465e0b35712a 100644 --- a/paddle/fluid/framework/ir/multihead_matmul_fuse_pass.h +++ b/paddle/fluid/framework/ir/multihead_matmul_fuse_pass.h @@ -16,10 +16,19 @@ #include #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" +namespace paddle { +namespace framework { +namespace ir { +class Graph; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { diff --git a/paddle/fluid/framework/ir/node.cc b/paddle/fluid/framework/ir/node.cc index 45d81b937392244f678fbd01395b3ffffd07f710..7143c9a7a3e86c88920ebfc66f90650e68505c74 100644 --- a/paddle/fluid/framework/ir/node.cc +++ b/paddle/fluid/framework/ir/node.cc @@ -13,7 +13,6 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/ir/node.h" -#include "paddle/fluid/framework/op_info.h" namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/ir/node.h b/paddle/fluid/framework/ir/node.h index 87e7e64acb71a5059b2f3bf1539ff281ac322774..d0db3bd36e13fa69d6c549916adc5ca1365784c4 100644 --- a/paddle/fluid/framework/ir/node.h +++ b/paddle/fluid/framework/ir/node.h @@ -19,10 +19,18 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/op_desc.h" #include "paddle/fluid/framework/var_desc.h" #include "paddle/fluid/platform/macros.h" +namespace paddle { +namespace framework { +class OpDesc; +class VarDesc; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { namespace ir { diff --git a/paddle/fluid/framework/ir/pass.cc b/paddle/fluid/framework/ir/pass.cc index a5ca13f1ce252d2368e2fc765e49d397356660a7..0e5f5867f47b25f3efdcf648c4243cec310ad4ca 100644 --- a/paddle/fluid/framework/ir/pass.cc +++ b/paddle/fluid/framework/ir/pass.cc @@ -14,11 +14,15 @@ limitations under the License. */ #include "paddle/fluid/framework/ir/pass.h" -#include -#include - #include "paddle/fluid/framework/ir/graph_helper.h" -#include "paddle/fluid/platform/device_context.h" + +namespace paddle { +namespace framework { +namespace ir { +class Graph; +} // namespace ir +} // namespace framework +} // namespace paddle #ifdef PADDLE_WITH_MKLDNN #include "paddle/fluid/platform/mkldnn_helper.h" #endif diff --git a/paddle/fluid/framework/ir/pass.h b/paddle/fluid/framework/ir/pass.h index 0f5ef551f044d9e53b04b6efad3954d1a48a0ac3..668dc74eab20a17d3697ebe778a1a5bb63cdab48 100644 --- a/paddle/fluid/framework/ir/pass.h +++ b/paddle/fluid/framework/ir/pass.h @@ -21,6 +21,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/node.h" #include "paddle/fluid/framework/program_desc.h" @@ -29,6 +30,7 @@ limitations under the License. */ namespace paddle { namespace framework { namespace ir { +class Graph; template struct PassRegistrar; diff --git a/paddle/fluid/framework/ir/pass_builder.cc b/paddle/fluid/framework/ir/pass_builder.cc index 6457bd230c59cfebd19ab7951b2c04a1890e3fce..4e99271a2ec1e5d4a0c2f28e91939ce7f5855d37 100644 --- a/paddle/fluid/framework/ir/pass_builder.cc +++ b/paddle/fluid/framework/ir/pass_builder.cc @@ -20,6 +20,8 @@ namespace paddle { namespace framework { namespace ir { +class Pass; + std::shared_ptr PassBuilder::AppendPass(const std::string& pass_type) { VLOG(1) << "Append " << pass_type; auto pass = ir::PassRegistry::Instance().Get(pass_type); diff --git a/paddle/fluid/framework/ir/pass_builder.h b/paddle/fluid/framework/ir/pass_builder.h index 733d3a3ad1ab8989ea30fe45cd7e1ffe9432de13..0e68767db3fa8e49d946d523043cc57c32b0ee99 100644 --- a/paddle/fluid/framework/ir/pass_builder.h +++ b/paddle/fluid/framework/ir/pass_builder.h @@ -14,6 +14,7 @@ limitations under the License. */ #pragma once +#include #include #include #include "paddle/fluid/framework/ir/pass.h" @@ -22,6 +23,8 @@ namespace paddle { namespace framework { namespace ir { +class Pass; + class PassBuilder { public: PassBuilder() {} diff --git a/paddle/fluid/framework/ir/pass_test.cc b/paddle/fluid/framework/ir/pass_test.cc index 0c5286b3f77e10876b0240e1245ca343471770d5..65b9c427869ee52572beb6e1696279e9892286ce 100644 --- a/paddle/fluid/framework/ir/pass_test.cc +++ b/paddle/fluid/framework/ir/pass_test.cc @@ -13,15 +13,17 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/ir/pass.h" -#include + #include -#include + #include "gtest/gtest.h" -#include "paddle/fluid/framework/ir/graph.h" namespace paddle { namespace framework { namespace ir { +class Graph; +class Node; + void BuildCircleGraph(Graph* g) { ir::Node* o1 = g->CreateEmptyNode("op1", Node::Type::kOperation); ir::Node* o2 = g->CreateEmptyNode("op2", Node::Type::kOperation); diff --git a/paddle/fluid/framework/ir/placement_pass_base.h b/paddle/fluid/framework/ir/placement_pass_base.h index 5cdd7963e54b9668165fd5e71d8164d71206ecaf..ef1a920db3fd169904d4ebbd8fe0635444d17bd7 100644 --- a/paddle/fluid/framework/ir/placement_pass_base.h +++ b/paddle/fluid/framework/ir/placement_pass_base.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include + #include "paddle/fluid/framework/ir/pass.h" namespace paddle { @@ -25,6 +26,8 @@ namespace ir { /* * Specifies which operators should use cuDNN. */ +class Graph; + class PlacementPassBase : public Pass { protected: void ApplyImpl(ir::Graph* graph) const override; diff --git a/paddle/fluid/framework/ir/repeated_fc_relu_fuse_pass.cc b/paddle/fluid/framework/ir/repeated_fc_relu_fuse_pass.cc index 9f6032ffa5b87daece107ad6bd3d5f9444719e44..af4a2f4060572fdffbfaa9fdf2647aa025df9957 100644 --- a/paddle/fluid/framework/ir/repeated_fc_relu_fuse_pass.cc +++ b/paddle/fluid/framework/ir/repeated_fc_relu_fuse_pass.cc @@ -13,10 +13,11 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/ir/repeated_fc_relu_fuse_pass.h" -#include // for max +#include #include #include #include + #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_version_registry.h" diff --git a/paddle/fluid/framework/ir/repeated_fc_relu_fuse_pass.h b/paddle/fluid/framework/ir/repeated_fc_relu_fuse_pass.h index ae777bccebec9f99b4752fe495f96d3da38aac23..0be217cc748a248f4e5bf8d98922cb8ebdbd3e3c 100644 --- a/paddle/fluid/framework/ir/repeated_fc_relu_fuse_pass.h +++ b/paddle/fluid/framework/ir/repeated_fc_relu_fuse_pass.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -26,6 +27,8 @@ namespace ir { /** * Fuse Repeated FC Relu */ +class Graph; + class RepeatedFCReluFusePass : public FusePassBase { public: virtual ~RepeatedFCReluFusePass() {} diff --git a/paddle/fluid/framework/ir/runtime_context_cache_pass.h b/paddle/fluid/framework/ir/runtime_context_cache_pass.h index e4783166e0cbde0be9037df5afe3e903a40a2065..741adcce8d76713001d1c2385d7acf8855092d3e 100644 --- a/paddle/fluid/framework/ir/runtime_context_cache_pass.h +++ b/paddle/fluid/framework/ir/runtime_context_cache_pass.h @@ -15,12 +15,15 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/framework/ir/pass.h" namespace paddle { namespace framework { namespace ir { +class Graph; + class RuntimeContextCachePass : public Pass { protected: void ApplyImpl(ir::Graph* graph) const override; diff --git a/paddle/fluid/framework/ir/seq_concat_fc_fuse_pass.cc b/paddle/fluid/framework/ir/seq_concat_fc_fuse_pass.cc index 19ec2d818a3db5140031287618f054f8468970fe..4101d593086cdbf8848034cd478e068c95d8f790 100644 --- a/paddle/fluid/framework/ir/seq_concat_fc_fuse_pass.cc +++ b/paddle/fluid/framework/ir/seq_concat_fc_fuse_pass.cc @@ -16,10 +16,8 @@ #include #include #include -#include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" -#include "paddle/fluid/framework/ir/graph_viz_pass.h" -#include "paddle/fluid/framework/lod_tensor.h" +#include "paddle/fluid/framework/op_version_registry.h" namespace paddle { namespace framework { @@ -258,3 +256,15 @@ void SeqConcatFcFusePass::ApplyImpl(ir::Graph* graph) const { REGISTER_PASS(seq_concat_fc_fuse_pass, paddle::framework::ir::SeqConcatFcFusePass); +REGISTER_PASS_CAPABILITY(seq_concat_fc_fuse_pass) + .AddCombination( + paddle::framework::compatible::OpVersionComparatorCombination() + .EQ("sequence_expand", 0) + .EQ("concat", 0) + .EQ("mul", 0) + .EQ("elementwise_add", 0) + .EQ("sigmoid", 0) + .EQ("tanh", 0) + .EQ("relu", 0) + .EQ("identity", 0) + .EQ("fusion_seqexpand_concat_fc", 0)); diff --git a/paddle/fluid/framework/ir/seq_concat_fc_fuse_pass.h b/paddle/fluid/framework/ir/seq_concat_fc_fuse_pass.h index d68840a554777e64082f7f9e467221bc0948d9dd..a70411536455757b49292e990d27e372651b88c9 100644 --- a/paddle/fluid/framework/ir/seq_concat_fc_fuse_pass.h +++ b/paddle/fluid/framework/ir/seq_concat_fc_fuse_pass.h @@ -22,6 +22,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + class SeqConcatFcFusePass : public FusePassBase { public: virtual ~SeqConcatFcFusePass() {} diff --git a/paddle/fluid/framework/ir/seqconv_eltadd_relu_fuse_pass.cc b/paddle/fluid/framework/ir/seqconv_eltadd_relu_fuse_pass.cc index 75ab04f1b9130dccd42cea39dc0e074e2e2838eb..d9a1348e05a1291cb1bf8e398c187afaebecfca6 100644 --- a/paddle/fluid/framework/ir/seqconv_eltadd_relu_fuse_pass.cc +++ b/paddle/fluid/framework/ir/seqconv_eltadd_relu_fuse_pass.cc @@ -15,6 +15,7 @@ #include "paddle/fluid/framework/ir/seqconv_eltadd_relu_fuse_pass.h" #include #include + #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_version_registry.h" @@ -22,6 +23,8 @@ namespace paddle { namespace framework { namespace ir { +class Node; + int BuildFusion(Graph* graph, const std::string& name_scope, Scope* scope) { GraphPatternDetector gpd; auto* pattern = gpd.mutable_pattern(); diff --git a/paddle/fluid/framework/ir/seqconv_eltadd_relu_fuse_pass.h b/paddle/fluid/framework/ir/seqconv_eltadd_relu_fuse_pass.h index fde9b586c85712b14d285cec49f9e09efad78fc7..6f623625f51d8217370f2eabfb6820eebeb6e07a 100644 --- a/paddle/fluid/framework/ir/seqconv_eltadd_relu_fuse_pass.h +++ b/paddle/fluid/framework/ir/seqconv_eltadd_relu_fuse_pass.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -23,6 +24,8 @@ namespace paddle { namespace framework { namespace ir { +class Graph; + class SeqConvEltAddReluFusePass : public FusePassBase { public: virtual ~SeqConvEltAddReluFusePass() {} diff --git a/paddle/fluid/framework/ir/seqpool_concat_fuse_pass.cc b/paddle/fluid/framework/ir/seqpool_concat_fuse_pass.cc index 1c220ee4d571815eaf26255db2c519dc4821068c..b6badf745c6bd5a972f3aef438517015228fe612 100644 --- a/paddle/fluid/framework/ir/seqpool_concat_fuse_pass.cc +++ b/paddle/fluid/framework/ir/seqpool_concat_fuse_pass.cc @@ -16,7 +16,14 @@ #include #include #include -#include "paddle/fluid/framework/lod_tensor.h" + +namespace paddle { +namespace framework { +namespace ir { +class Node; +} // namespace ir +} // namespace framework +} // namespace paddle #define MAX_CONCAT_INPUTS 200 diff --git a/paddle/fluid/framework/ir/seqpool_concat_fuse_pass.h b/paddle/fluid/framework/ir/seqpool_concat_fuse_pass.h index 40a9edc5e642320996f5bd3451479fe347f24081..482fd5cb5802d5e685dcf0eb41f23bd4d66b40db 100644 --- a/paddle/fluid/framework/ir/seqpool_concat_fuse_pass.h +++ b/paddle/fluid/framework/ir/seqpool_concat_fuse_pass.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -37,6 +38,8 @@ namespace ir { * FusionSeqPoolConcat * | */ +class Graph; + class SeqPoolConcatFusePass : public FusePassBase { public: virtual ~SeqPoolConcatFusePass() {} diff --git a/paddle/fluid/framework/ir/seqpool_cvm_concat_fuse_pass.cc b/paddle/fluid/framework/ir/seqpool_cvm_concat_fuse_pass.cc index 8261bfc15348f90af4ed7acb9e5b68373dc5e715..d639d410466d947caeb32cada32c185d376a61c1 100644 --- a/paddle/fluid/framework/ir/seqpool_cvm_concat_fuse_pass.cc +++ b/paddle/fluid/framework/ir/seqpool_cvm_concat_fuse_pass.cc @@ -13,16 +13,17 @@ * limitations under the License. */ #include "paddle/fluid/framework/ir/seqpool_cvm_concat_fuse_pass.h" -#include #include #include #include -#include "paddle/fluid/framework/lod_tensor.h" namespace paddle { namespace framework { namespace ir { +class Graph; +class Node; + namespace { static PDNode* BuildCVMConcatPattern(PDPattern* pattern) { auto cvm_behind_x = [](Node* x) -> bool { diff --git a/paddle/fluid/framework/ir/seqpool_cvm_concat_fuse_pass.h b/paddle/fluid/framework/ir/seqpool_cvm_concat_fuse_pass.h index 88a41983c6bf7b4e76d7912dbb3821b2c2ed533b..b0a3573fb59f975400e43b6ae842c23ad262e2ff 100644 --- a/paddle/fluid/framework/ir/seqpool_cvm_concat_fuse_pass.h +++ b/paddle/fluid/framework/ir/seqpool_cvm_concat_fuse_pass.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -39,6 +40,8 @@ namespace ir { * FusionSeqPoolCVMConcat * | */ +class Graph; + class SeqPoolCVMConcatFusePass : public FusePassBase { public: virtual ~SeqPoolCVMConcatFusePass() {} diff --git a/paddle/fluid/framework/ir/shuffle_channel_detect_pass.cc b/paddle/fluid/framework/ir/shuffle_channel_detect_pass.cc index 8bdf3940928c768fc7b0a9c7fa3d084d95f60859..92e995579fa9e5594718c88586322038b1688047 100644 --- a/paddle/fluid/framework/ir/shuffle_channel_detect_pass.cc +++ b/paddle/fluid/framework/ir/shuffle_channel_detect_pass.cc @@ -12,9 +12,6 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include - -#include "paddle/fluid/framework/ir/graph_viz_pass.h" #include "paddle/fluid/framework/ir/shuffle_channel_detect_pass.h" #include "paddle/fluid/framework/op_version_registry.h" diff --git a/paddle/fluid/framework/ir/shuffle_channel_detect_pass.h b/paddle/fluid/framework/ir/shuffle_channel_detect_pass.h index 008f8013efd28b3cdc5a846662653e07e45e3985..dc375988cdd5d42b1e1a030952fbf8ecb4fdc675 100644 --- a/paddle/fluid/framework/ir/shuffle_channel_detect_pass.h +++ b/paddle/fluid/framework/ir/shuffle_channel_detect_pass.h @@ -14,6 +14,7 @@ #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" diff --git a/paddle/fluid/framework/ir/simplify_with_basic_ops_pass.cc b/paddle/fluid/framework/ir/simplify_with_basic_ops_pass.cc index 2e5c18d3352bc655756522b32cbfd92f7ad4b4cb..5cc6b6171ac3be3951c550fb160115c982dbdb7d 100644 --- a/paddle/fluid/framework/ir/simplify_with_basic_ops_pass.cc +++ b/paddle/fluid/framework/ir/simplify_with_basic_ops_pass.cc @@ -15,7 +15,6 @@ limitations under the License. */ #include "paddle/fluid/framework/ir/simplify_with_basic_ops_pass.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" -#include "paddle/fluid/framework/ir/pass_tester_helper.h" namespace paddle { namespace framework { @@ -30,6 +29,8 @@ namespace ir { * - remove dropout_op (upscale_in_train) or * replace dropout_op with scale_op (downgrade_in_infer) when is_test is true */ +class Graph; + void SimplifyWithBasicOpsPass::ApplyImpl(Graph* graph) const { VLOG(3) << "Simplify the Graph with basic ops."; std::unordered_set del_node_set; diff --git a/paddle/fluid/framework/ir/simplify_with_basic_ops_pass.h b/paddle/fluid/framework/ir/simplify_with_basic_ops_pass.h index f5185622468055939103876387662f6402a45bfe..6a245c444a7ec8dd800d8432693d2fa247360634 100644 --- a/paddle/fluid/framework/ir/simplify_with_basic_ops_pass.h +++ b/paddle/fluid/framework/ir/simplify_with_basic_ops_pass.h @@ -16,12 +16,16 @@ limitations under the License. */ #include #include + #include "paddle/fluid/framework/ir/pass.h" namespace paddle { namespace framework { namespace ir { +class Graph; +class Node; + class SimplifyWithBasicOpsPass : public Pass { protected: void ApplyImpl(Graph* graph) const override; diff --git a/paddle/fluid/framework/ir/skip_layernorm_fuse_pass.cc b/paddle/fluid/framework/ir/skip_layernorm_fuse_pass.cc index 2e3cd16d5ce49fdd6186f98c72d77c75c4053559..e5f348dfeb13e97632aa4901b6109576a21f67af 100644 --- a/paddle/fluid/framework/ir/skip_layernorm_fuse_pass.cc +++ b/paddle/fluid/framework/ir/skip_layernorm_fuse_pass.cc @@ -13,9 +13,10 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/ir/skip_layernorm_fuse_pass.h" + #include #include -#include + #include "paddle/fluid/framework/ir/graph_pattern_detector.h" #include "paddle/fluid/framework/op_version_registry.h" diff --git a/paddle/fluid/framework/ir/skip_layernorm_fuse_pass.h b/paddle/fluid/framework/ir/skip_layernorm_fuse_pass.h index 2de8d3762219ffc0ff5500996f53dd8e3117dc61..3a3e50052396a538aebb9027cb444b819129af95 100644 --- a/paddle/fluid/framework/ir/skip_layernorm_fuse_pass.h +++ b/paddle/fluid/framework/ir/skip_layernorm_fuse_pass.h @@ -29,6 +29,8 @@ namespace ir { // | | // other_op3 // | +class Graph; + class SkipLayerNormFusePass : public FusePassBase { public: virtual ~SkipLayerNormFusePass() {} diff --git a/paddle/fluid/framework/ir/squared_mat_sub_fuse_pass.h b/paddle/fluid/framework/ir/squared_mat_sub_fuse_pass.h index 56b7ec9b84314bd3634c406c31e20dd421f7fa92..90def957df4bf0907a306798fbb1e9ba53c37919 100644 --- a/paddle/fluid/framework/ir/squared_mat_sub_fuse_pass.h +++ b/paddle/fluid/framework/ir/squared_mat_sub_fuse_pass.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_pattern_detector.h" @@ -26,6 +27,8 @@ namespace ir { /** * Fuse ( (A * B).^2 - (A.^2 * B.^2) ) .* scalar */ +class Graph; + class SquaredMatSubFusePass : public FusePassBase { public: virtual ~SquaredMatSubFusePass() {} diff --git a/paddle/fluid/framework/ir/subgraph_detector.cc b/paddle/fluid/framework/ir/subgraph_detector.cc index 7979953d7be827ffc944ae939782923504802bbc..6ebe900e26baad40d69beeb082e76b072a863621 100644 --- a/paddle/fluid/framework/ir/subgraph_detector.cc +++ b/paddle/fluid/framework/ir/subgraph_detector.cc @@ -13,18 +13,17 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/ir/subgraph_detector.h" -#include #include #include #include -#include "paddle/fluid/framework/ir/graph_helper.h" -#include "paddle/fluid/framework/ir/graph_pattern_detector.h" -#include "paddle/fluid/framework/ir/node.h" namespace paddle { namespace framework { namespace ir { +class Graph; +class Node; + std::pair, std::vector> ExtractInputAndOutputOfSubGraph(std::vector &graph) { // NOLINT std::unordered_set nodes(graph.begin(), graph.end()); diff --git a/paddle/fluid/framework/ir/subgraph_detector.h b/paddle/fluid/framework/ir/subgraph_detector.h index 3d279e27e6ae97978e46f7282f58d4a4ca1efdde..6bd73c758b377c9653b23b4ac4ad3b08fb1aea8f 100644 --- a/paddle/fluid/framework/ir/subgraph_detector.h +++ b/paddle/fluid/framework/ir/subgraph_detector.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include + #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/graph_traits.h" #include "paddle/fluid/framework/ir/node.h" @@ -24,6 +25,9 @@ namespace paddle { namespace framework { namespace ir { +class Graph; +class Node; + const char kIsFunctionNode[] = "__is_function_node__"; const char kFunctionNodeSubGraph[] = "__function_node_sub_graph__"; const char kSubgraphSplitterMarkerAttrName[] = diff --git a/paddle/fluid/framework/ir/sync_batch_norm_pass.cc b/paddle/fluid/framework/ir/sync_batch_norm_pass.cc index 222c73761b4f5d960b1efafdb2e4368c17519fec..3fa008c300c5c8d0741bcdb1c4b3ef2dc8b0c0fc 100644 --- a/paddle/fluid/framework/ir/sync_batch_norm_pass.cc +++ b/paddle/fluid/framework/ir/sync_batch_norm_pass.cc @@ -12,15 +12,14 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include -#include -#include #include "paddle/fluid/framework/ir/pass.h" namespace paddle { namespace framework { namespace ir { +class Graph; + class SyncBatchNormPass : public Pass { protected: void ApplyImpl(ir::Graph *graph) const override { diff --git a/paddle/fluid/framework/ir/transpose_flatten_concat_fuse_pass.cc b/paddle/fluid/framework/ir/transpose_flatten_concat_fuse_pass.cc index 405cefa99ebbbe147fc96f63567e13607732780e..2db6d0230e3f9265be8a6d150f75ad5c04b3fef0 100644 --- a/paddle/fluid/framework/ir/transpose_flatten_concat_fuse_pass.cc +++ b/paddle/fluid/framework/ir/transpose_flatten_concat_fuse_pass.cc @@ -12,7 +12,6 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include #include #include #include diff --git a/paddle/fluid/framework/lod_rank_table.h b/paddle/fluid/framework/lod_rank_table.h index 8c6e8b0c66ead96f0e53b56ee951887730b0d77f..9a7c1285e305cf3527265f75db0d3b5c02d5f507 100644 --- a/paddle/fluid/framework/lod_rank_table.h +++ b/paddle/fluid/framework/lod_rank_table.h @@ -15,6 +15,7 @@ limitations under the License. */ #pragma once #include #include + #include "paddle/fluid/framework/lod_tensor.h" namespace paddle { diff --git a/paddle/fluid/framework/lod_tensor.cc b/paddle/fluid/framework/lod_tensor.cc index 40615d772e555bb9e2ac44a6339de9f3be3c9562..a044812dd3153b5752201ed57513e04cef8aecf4 100644 --- a/paddle/fluid/framework/lod_tensor.cc +++ b/paddle/fluid/framework/lod_tensor.cc @@ -12,19 +12,16 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ +#include "paddle/fluid/framework/lod_tensor.h" #include -#include #include -#include - -#include "paddle/fluid/framework/data_type.h" -#include "paddle/fluid/framework/framework.pb.h" -#include "paddle/fluid/framework/lod_tensor.h" -#include "paddle/fluid/framework/var_type.h" #include "paddle/fluid/framework/version.h" -#include "paddle/fluid/memory/memcpy.h" -#include "paddle/fluid/memory/memory.h" +namespace paddle { +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/lod_tensor.h b/paddle/fluid/framework/lod_tensor.h index da97efb616840b6663677475c4ca5dab68d7ccfe..e09a628f491604e74449965ccc3e19a25a78e66d 100644 --- a/paddle/fluid/framework/lod_tensor.h +++ b/paddle/fluid/framework/lod_tensor.h @@ -24,6 +24,7 @@ limitations under the License. */ #endif #include + #include "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/mixed_vector.h" #include "paddle/fluid/framework/tensor.h" @@ -31,6 +32,15 @@ limitations under the License. */ #include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/place.h" +namespace paddle { +namespace framework { +class LoDTensor; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/lod_tensor_test.cc b/paddle/fluid/framework/lod_tensor_test.cc index c93c3f2673b1d80ef1e1a9dd68ad50501ba16f42..e3223e67fc94df883dc4ef2fcea3a6ecb7ef9512 100644 --- a/paddle/fluid/framework/lod_tensor_test.cc +++ b/paddle/fluid/framework/lod_tensor_test.cc @@ -14,9 +14,6 @@ #include #include -#include -#include -#include #include "paddle/fluid/framework/lod_tensor.h" diff --git a/paddle/fluid/framework/mixed_vector.h b/paddle/fluid/framework/mixed_vector.h index 280996d34dd73e067e4e42848ea52dbbd6745caa..3a6e80f718d18f392e0548d883c13288ef38eb47 100644 --- a/paddle/fluid/framework/mixed_vector.h +++ b/paddle/fluid/framework/mixed_vector.h @@ -20,14 +20,14 @@ limitations under the License. */ #include // NOLINT #include #include + +#include "glog/logging.h" #include "paddle/fluid/framework/details/cow_ptr.h" #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/framework/tensor_util.h" #include "paddle/fluid/memory/malloc.h" #include "paddle/fluid/memory/memcpy.h" -#include "glog/logging.h" - namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/mixed_vector_test.cc b/paddle/fluid/framework/mixed_vector_test.cc index 0599c8d384641606b0a5ebb5ba1781b56f539e63..a40a3ff33fe354fd50b2e9cc24dd6a73da01a62a 100644 --- a/paddle/fluid/framework/mixed_vector_test.cc +++ b/paddle/fluid/framework/mixed_vector_test.cc @@ -12,11 +12,9 @@ See the License for the specific language governing permissions and limitations under the License. */ -#include - +#include "paddle/fluid/framework/mixed_vector.h" #include "glog/logging.h" #include "gtest/gtest.h" -#include "paddle/fluid/framework/mixed_vector.h" template using vec = paddle::framework::Vector; diff --git a/paddle/fluid/framework/naive_executor.h b/paddle/fluid/framework/naive_executor.h index 81402a650a3e334e273c18b279c241282ac5bf1f..75677ef5243da698caff0788a200c206b47dc875 100644 --- a/paddle/fluid/framework/naive_executor.h +++ b/paddle/fluid/framework/naive_executor.h @@ -14,8 +14,10 @@ #pragma once +#include #include #include + #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/framework/program_desc.h" #include "paddle/fluid/framework/scope.h" @@ -28,6 +30,10 @@ namespace framework { * Simple, intuitive and effective. Only single thread is supported, and * currently designed for inference. */ +class LoDTensor; +class ProgramDesc; +class Scope; + class NaiveExecutor { public: explicit NaiveExecutor(const platform::Place& place) : place_(place) {} diff --git a/paddle/fluid/framework/no_need_buffer_vars_inference.h b/paddle/fluid/framework/no_need_buffer_vars_inference.h index 5d30f34090e230f1766a38992674dd9d0dc9a137..21ba0381fe6ccfc9b5643e2963828b816ea6d96d 100644 --- a/paddle/fluid/framework/no_need_buffer_vars_inference.h +++ b/paddle/fluid/framework/no_need_buffer_vars_inference.h @@ -18,6 +18,7 @@ #include #include #include + #include "paddle/fluid/framework/type_defs.h" #include "paddle/fluid/imperative/type_defs.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/framework/op_call_stack.h b/paddle/fluid/framework/op_call_stack.h index d48cf27285a0a5040b5e375a27ccf6a8b00bd8c0..f633538e700b242469bce6d76dfb58e89f9cdbe8 100644 --- a/paddle/fluid/framework/op_call_stack.h +++ b/paddle/fluid/framework/op_call_stack.h @@ -15,9 +15,16 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/framework/type_defs.h" #include "paddle/fluid/platform/enforce.h" +namespace paddle { +namespace platform { +struct EnforceNotMet; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/op_compatible_info.h b/paddle/fluid/framework/op_compatible_info.h index 08b5734b5bfe33d4269c06d639448eefd26fcb06..01fbdef99cbbc287d0d473b48fd42ca0706445af 100644 --- a/paddle/fluid/framework/op_compatible_info.h +++ b/paddle/fluid/framework/op_compatible_info.h @@ -14,6 +14,7 @@ #include #include + #include "paddle/fluid/framework/program_desc.h" #pragma once @@ -21,6 +22,10 @@ namespace paddle { namespace framework { +namespace proto { +class OpCompatibleMap; +} // namespace proto + enum class OpCompatibleType { compatible = 0, // support previous version DEFIN_NOT = 1, // definitely can't support previous version diff --git a/paddle/fluid/framework/op_compatible_info_test.cc b/paddle/fluid/framework/op_compatible_info_test.cc index 43959c8b2abd868a705b5e21950cdca2faaebe5c..98f3f5071ad285feaadcdf2b13a3c756477b2f18 100644 --- a/paddle/fluid/framework/op_compatible_info_test.cc +++ b/paddle/fluid/framework/op_compatible_info_test.cc @@ -13,14 +13,17 @@ // limitations under the License. #include "paddle/fluid/framework/op_compatible_info.h" -#include + #include "gtest/gtest.h" #include "paddle/fluid/framework/program_desc.h" -#include "paddle/fluid/platform/macros.h" namespace paddle { namespace framework { +namespace proto { +class OpCompatibleMap; +} // namespace proto + TEST(test_op_compatible_info, test_op_compatible) { auto comp_map = OpCompatibleMap(); comp_map.InitOpCompatibleMap(); diff --git a/paddle/fluid/framework/op_desc.h b/paddle/fluid/framework/op_desc.h index e15f0012fdc2ebfecec8daebbd3c04b917cd7a84..95c33bca6c7f1df6ad71a3b4c2f82d726cafb5fc 100644 --- a/paddle/fluid/framework/op_desc.h +++ b/paddle/fluid/framework/op_desc.h @@ -18,6 +18,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/attribute.h" #include "paddle/fluid/framework/type_defs.h" #include "paddle/fluid/framework/var_desc.h" @@ -27,6 +28,7 @@ namespace framework { class BlockDesc; class ProgramDesc; + class OpDesc { public: OpDesc() {} diff --git a/paddle/fluid/framework/op_info.cc b/paddle/fluid/framework/op_info.cc index c815e194d43e149f9efe0daec820c42e87f81d0c..820a83586b31701cf0cc4e6b968be2fd48fe2f96 100644 --- a/paddle/fluid/framework/op_info.cc +++ b/paddle/fluid/framework/op_info.cc @@ -14,8 +14,6 @@ limitations under the License. */ #include "paddle/fluid/framework/op_info.h" #include -#include -#include namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/op_info.h b/paddle/fluid/framework/op_info.h index 89b499975790060a3a3e3f665c35f8545922e6a7..af657232e91a68aa26ab85faf63acdd1b8f191d1 100644 --- a/paddle/fluid/framework/op_info.h +++ b/paddle/fluid/framework/op_info.h @@ -20,13 +20,18 @@ limitations under the License. */ #include #include "paddle/fluid/framework/attribute.h" +#include "paddle/fluid/framework/framework.pb.h" #include "paddle/fluid/framework/no_need_buffer_vars_inference.h" #include "paddle/fluid/framework/type_defs.h" +#include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/macros.h" namespace paddle { namespace framework { +class InferShapeContext; +class OpAttrChecker; + class InferShapeBase { public: virtual ~InferShapeBase() = default; diff --git a/paddle/fluid/framework/op_kernel_type.h b/paddle/fluid/framework/op_kernel_type.h index 9edc1a3e150027b5a3dbd8483dc8b58d1d4ab918..f4e60bb9b78547e84941a1caf60399044ec79143 100644 --- a/paddle/fluid/framework/op_kernel_type.h +++ b/paddle/fluid/framework/op_kernel_type.h @@ -15,6 +15,7 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/framework/data_layout.h" #include "paddle/fluid/framework/data_type.h" #include "paddle/fluid/framework/library_type.h" diff --git a/paddle/fluid/framework/op_kernel_type_test.cc b/paddle/fluid/framework/op_kernel_type_test.cc index 40db85400d2c8776b82ce0fa2fb4deed993b0255..2979750fba792495e143e070523472a192ee12de 100644 --- a/paddle/fluid/framework/op_kernel_type_test.cc +++ b/paddle/fluid/framework/op_kernel_type_test.cc @@ -13,8 +13,8 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/op_kernel_type.h" + #include -#include TEST(OpKernelType, ToString) { using OpKernelType = paddle::framework::OpKernelType; diff --git a/paddle/fluid/framework/op_proto_maker_test.cc b/paddle/fluid/framework/op_proto_maker_test.cc index a8030d377fdb4d4aef74b315e21792dad10fac96..56f940e399776a08626863d6f2b72ef37a294233 100644 --- a/paddle/fluid/framework/op_proto_maker_test.cc +++ b/paddle/fluid/framework/op_proto_maker_test.cc @@ -16,6 +16,12 @@ limitations under the License. */ #include "gtest/gtest.h" +namespace paddle { +namespace platform { +struct EnforceNotMet; +} // namespace platform +} // namespace paddle + class TestAttrProtoMaker : public paddle::framework::OpProtoAndCheckerMaker { public: void Make() { diff --git a/paddle/fluid/framework/op_registry.cc b/paddle/fluid/framework/op_registry.cc index 81cfaf92e391de28356dec05fd7b94cce3e51440..72dd6fa6bbd139c489ccea62ba46c73772f72033 100644 --- a/paddle/fluid/framework/op_registry.cc +++ b/paddle/fluid/framework/op_registry.cc @@ -14,8 +14,6 @@ limitations under the License. */ #include "paddle/fluid/framework/op_registry.h" -#include - namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/op_registry.h b/paddle/fluid/framework/op_registry.h index 6408fadf90ae32adf048156d1369cf22a76d20ea..77383386fa11d5bb297ac5636c8ec122a69a7e6b 100644 --- a/paddle/fluid/framework/op_registry.h +++ b/paddle/fluid/framework/op_registry.h @@ -35,6 +35,12 @@ limitations under the License. */ #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/shape_inference.h" +namespace paddle { +namespace framework { +class ExecutionContext; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/op_version_registry_test.cc b/paddle/fluid/framework/op_version_registry_test.cc index 239dbc4357854a8962567129b259a64260308b49..d6b18751cefe56c75da8d0f6d6070b849e872bfc 100644 --- a/paddle/fluid/framework/op_version_registry_test.cc +++ b/paddle/fluid/framework/op_version_registry_test.cc @@ -12,7 +12,6 @@ See the License for the specific language governing permissions and limitations under the License. */ -#include #include #include "paddle/fluid/framework/op_version_registry.h" diff --git a/paddle/fluid/framework/operator.h b/paddle/fluid/framework/operator.h index bd52d7ffef5040f596bfb5ca9521a6e1062bb5aa..d493f350e69736fddc2cbda56a8e3967235bce8a 100644 --- a/paddle/fluid/framework/operator.h +++ b/paddle/fluid/framework/operator.h @@ -39,6 +39,15 @@ limitations under the License. */ #include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/variant.h" +namespace paddle { +namespace framework { +class InferShapeContext; +class OpInfo; +class Scope; +class Variable; +} // namespace framework +} // namespace paddle + DECLARE_int32(inner_op_parallelism); namespace paddle { @@ -105,8 +114,8 @@ inline std::string GradOriginalVarName(const std::string& grad_var_name) { const Tensor* GetLoDTensorOrSelectedRowsValueFromVar(const Variable& var); Tensor* GetMutableLoDTensorOrSelectedRowsValueFromVar(Variable* var); -class OperatorBase; class ExecutionContext; +class OperatorBase; class RuntimeContext { public: diff --git a/paddle/fluid/framework/program_desc.h b/paddle/fluid/framework/program_desc.h index d5e9c755f1298bcd31ea9093b5912a46133d0228..5cafc9111da6734405b2150328f3f356c92c69fd 100644 --- a/paddle/fluid/framework/program_desc.h +++ b/paddle/fluid/framework/program_desc.h @@ -17,6 +17,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/block_desc.h" #include "paddle/fluid/framework/framework.pb.h" #include "paddle/fluid/framework/proto_desc.h" diff --git a/paddle/fluid/framework/program_desc_test.cc b/paddle/fluid/framework/program_desc_test.cc index 48bde2785e6a51afc0d2905ac31fe20a3c3019b6..0ba1099b03231443d59c0dc820af140ab6ab4053 100644 --- a/paddle/fluid/framework/program_desc_test.cc +++ b/paddle/fluid/framework/program_desc_test.cc @@ -13,11 +13,13 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/program_desc.h" + #include "gtest/gtest.h" -#include "paddle/fluid/framework/block_desc.h" namespace paddle { namespace framework { +class VarDesc; + TEST(ProgramDesc, copy_ctor) { ProgramDesc program; auto* global_block = program.MutableBlock(0); diff --git a/paddle/fluid/framework/prune.h b/paddle/fluid/framework/prune.h index 63e8aaad73575e7561428a9de43b86f75c22e65e..57f282536bf46e374cab24339790a715f4669e7b 100644 --- a/paddle/fluid/framework/prune.h +++ b/paddle/fluid/framework/prune.h @@ -19,6 +19,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/framework.pb.h" #include "paddle/fluid/framework/program_desc.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/framework/prune_test.cc b/paddle/fluid/framework/prune_test.cc index 12fa0c61f8121d475a0cf2aa78e4bb995a01b132..618eaba3c5b8bb09a4e413b32db62f3a80d3c557 100644 --- a/paddle/fluid/framework/prune_test.cc +++ b/paddle/fluid/framework/prune_test.cc @@ -15,13 +15,9 @@ limitations under the License. */ #include "paddle/fluid/framework/prune.h" #include -#include #include #include -#include "paddle/fluid/framework/attribute.h" -#include "paddle/fluid/framework/operator.h" - #include "paddle/fluid/framework/block_desc.h" #include "paddle/fluid/framework/op_desc.h" #include "paddle/fluid/framework/program_desc.h" diff --git a/paddle/fluid/framework/pull_dense_worker.cc b/paddle/fluid/framework/pull_dense_worker.cc index 9f4c817db7d81ff6d8a9afb9d5cee7b4f1dd0ed2..6aeef8a39b53342a1c7eb99ba0892bda29a8fbcd 100644 --- a/paddle/fluid/framework/pull_dense_worker.cc +++ b/paddle/fluid/framework/pull_dense_worker.cc @@ -12,12 +12,16 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #include + #include "paddle/fluid/framework/device_worker.h" -#include "paddle/fluid/framework/fleet/fleet_wrapper.h" namespace paddle { namespace framework { +class LoDTensor; +class Scope; +class Variable; + std::shared_ptr PullDenseWorker::s_instance_ = NULL; std::mutex PullDenseWorker::mutex_for_version_; std::map PullDenseWorker::last_versions_; @@ -58,13 +62,15 @@ void PullDenseWorker::Initialize(const TrainerDesc& param) { fleet_ptr_ = FleetWrapper::GetInstance(); #ifdef PADDLE_WITH_CUDA copy_streams_.clear(); +#endif +#if (defined PADDLE_WITH_CUDA) || (defined PADDLE_WITH_XPU) places_.clear(); thread_scopes_.clear(); #endif } void PullDenseWorker::CreatePinVar() { -#ifdef PADDLE_WITH_CUDA +#if (defined PADDLE_WITH_CUDA) || (defined PADDLE_WITH_PSLIB) // for (auto& v : dense_value_names_) { // for (auto& name : v.second) { for (int i = 0; i < dwp_param_.program_config(0).pull_dense_table_id_size(); @@ -79,8 +85,13 @@ void PullDenseWorker::CreatePinVar() { auto* ptr = root_scope_->Var(name + "pin"); InitializeVariable(ptr, proto::VarType::LOD_TENSOR); LoDTensor* pin_tensor = ptr->GetMutable(); +#ifdef PADDLE_WITH_CUDA pin_tensor->mutable_data(tensor->dims(), platform::CUDAPinnedPlace()); +#endif +#ifdef PADDLE_WITH_XPU + pin_tensor->mutable_data(tensor->dims(), platform::CPUPlace()); +#endif } } #endif @@ -103,7 +114,7 @@ void PullDenseWorker::Wait(std::vector<::std::future>* status_vec) { exit(-1); } status_vec->resize(0); -#ifdef PADDLE_WITH_CUDA +#if (defined PADDLE_WITH_CUDA) || (defined PADDLE_WITH_XPU) for (size_t i = 0; i < places_.size(); ++i) { // for (auto& v : dense_value_names_) { @@ -121,9 +132,16 @@ void PullDenseWorker::Wait(std::vector<::std::future>* status_vec) { Variable* var = thread_scopes_[i]->FindVar(name); LoDTensor* tensor = var->GetMutable(); float* w = tensor->data(); +#ifdef PADDLE_WITH_CUDA memory::Copy(BOOST_GET_CONST(platform::CUDAPlace, places_[i]), w, platform::CUDAPinnedPlace(), pin_w, sizeof(float) * tensor->numel(), copy_streams_[i]); +#endif +#ifdef PADDLE_WITH_XPU + memory::Copy(BOOST_GET_CONST(platform::XPUPlace, places_[i]), w, + platform::CPUPlace(), pin_w, + sizeof(float) * tensor->numel()); +#endif } } } @@ -144,7 +162,7 @@ void PullDenseWorker::PullDense(bool force_update) { uint64_t tid = static_cast( dwp_param_.program_config(0).pull_dense_table_id(i)); if (force_update || CheckUpdateParam(tid)) { -#ifdef PADDLE_WITH_CUDA +#if (defined PADDLE_WITH_CUDA) || (defined PADDLE_WITH_XPU) VLOG(3) << "pull dense " << force_update << " " << tid; fleet_ptr_->PullDenseVarsAsync(*root_scope_, tid, dense_value_names_[tid], &pull_dense_status_, false); diff --git a/paddle/fluid/framework/rw_lock_test.cc b/paddle/fluid/framework/rw_lock_test.cc index 16f9cbb65229f10912ee90436c3557aaaca169b8..601b10787bea15cc96b47c051f6c3f42df5697e5 100644 --- a/paddle/fluid/framework/rw_lock_test.cc +++ b/paddle/fluid/framework/rw_lock_test.cc @@ -14,7 +14,6 @@ limitations under the License. */ #include "paddle/fluid/framework/rw_lock.h" #include -#include // NOLINT #include // NOLINT #include diff --git a/paddle/fluid/framework/save_load_util.h b/paddle/fluid/framework/save_load_util.h index 6b50c93ddbd2be8aba65cbdd8942278a2e1af3a2..0b96e002e30acf986ee853e49ba9b70cf2a47d27 100644 --- a/paddle/fluid/framework/save_load_util.h +++ b/paddle/fluid/framework/save_load_util.h @@ -28,6 +28,8 @@ namespace paddle { namespace framework { +class Scope; + bool SaveStaticNameListToDisk( const std::string& file_name, const std::vector& vec_tensor_name_list, const Scope& scope); diff --git a/paddle/fluid/framework/save_load_util_test.cc b/paddle/fluid/framework/save_load_util_test.cc index 4a54e2d46684936bf32d8b87181dd746fd1b142c..10a34d7ce91ad27a271b8a112a1af1e39da52e31 100644 --- a/paddle/fluid/framework/save_load_util_test.cc +++ b/paddle/fluid/framework/save_load_util_test.cc @@ -13,12 +13,9 @@ // limitations under the License. #include #include -#include -#include #include "gtest/gtest.h" #include "paddle/fluid/framework/save_load_util.h" -#include "paddle/fluid/platform/macros.h" namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/scope.h b/paddle/fluid/framework/scope.h index db7010ecceb3e7c39cdfd78c5e82074dba199fc7..922e9a9b272727ec0eaaf3c8dea5172552af95d1 100644 --- a/paddle/fluid/framework/scope.h +++ b/paddle/fluid/framework/scope.h @@ -30,6 +30,12 @@ extern "C" { #include "paddle/fluid/framework/variable.h" #include "paddle/fluid/platform/macros.h" +namespace paddle { +namespace framework { +class Variable; +} // namespace framework +} // namespace paddle + namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/scope_pool.cc b/paddle/fluid/framework/scope_pool.cc index 4bb077a2c52f0853b01a7af30308a0fa737500cb..cf0b3ebcddd2fbc86d54cd732cef96871b8592fd 100644 --- a/paddle/fluid/framework/scope_pool.cc +++ b/paddle/fluid/framework/scope_pool.cc @@ -11,10 +11,8 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -#include - #include "paddle/fluid/framework/scope_pool.h" -#include "paddle/fluid/framework/threadpool.h" +#include namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/scope_pool.h b/paddle/fluid/framework/scope_pool.h index a8b468699abe148d44a395cf888158aefab4380b..19faa9aa6a45fc0212dd212304bfb6603c9791a8 100644 --- a/paddle/fluid/framework/scope_pool.h +++ b/paddle/fluid/framework/scope_pool.h @@ -14,6 +14,7 @@ #pragma once +#include #include // NOLINT #include #include "paddle/fluid/framework/scope.h" @@ -21,6 +22,8 @@ namespace paddle { namespace framework { +class Scope; + class ScopePool { public: static ScopePool &Instance(); // NOLINT diff --git a/paddle/fluid/framework/scope_test.cc b/paddle/fluid/framework/scope_test.cc index 26817fc558dfab6926b67ee744b0a2ef548b4ffb..a61e68279a2d30f7128547aab2d7a5fab2c3f06b 100644 --- a/paddle/fluid/framework/scope_test.cc +++ b/paddle/fluid/framework/scope_test.cc @@ -13,9 +13,15 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/scope.h" -#include "glog/logging.h" + #include "gtest/gtest.h" +namespace paddle { +namespace framework { +class Variable; +} // namespace framework +} // namespace paddle + using paddle::framework::Scope; using paddle::framework::Variable; diff --git a/paddle/fluid/framework/selected_rows.cc b/paddle/fluid/framework/selected_rows.cc index 1f402ea9dd33626a43a4d03b96256b2c2841c8b4..4c30c40ad58375fb08f23e2c7bdef27fdaea7384 100644 --- a/paddle/fluid/framework/selected_rows.cc +++ b/paddle/fluid/framework/selected_rows.cc @@ -14,6 +14,12 @@ limitations under the License. */ #include "paddle/fluid/framework/selected_rows.h" +namespace paddle { +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/selected_rows.h b/paddle/fluid/framework/selected_rows.h index 285af1d55302a49cae058fccdd5edd13aa28137e..48353b43f56cacbb71512b9e743af281b09fc531 100644 --- a/paddle/fluid/framework/selected_rows.h +++ b/paddle/fluid/framework/selected_rows.h @@ -26,9 +26,18 @@ limitations under the License. */ #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/memory/memcpy.h" +namespace paddle { +namespace platform { +class DeviceContext; +class Place; +} // namespace platform +} // namespace paddle + namespace paddle { namespace framework { +class Tensor; + class SelectedRows { /* * @brief We can use the SelectedRows structure to reproduce a sparse table. diff --git a/paddle/fluid/framework/shape_inference.cc b/paddle/fluid/framework/shape_inference.cc index f5bb3f68007043ad37ea32e7047c5fc546b80931..02e4ce914b887f07e1e34cfbda533f71cec6bc06 100644 --- a/paddle/fluid/framework/shape_inference.cc +++ b/paddle/fluid/framework/shape_inference.cc @@ -13,11 +13,6 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/shape_inference.h" -#include -#include -#include -#include "paddle/fluid/framework/grad_op_desc_maker.h" -#include "paddle/fluid/framework/operator.h" namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/tensor.cc b/paddle/fluid/framework/tensor.cc index 0b22bab26789a3e2ebd20428adc236faa8b38dee..9f5d8d30c9cdea0cfa9db1793e18874bcd42aae0 100644 --- a/paddle/fluid/framework/tensor.cc +++ b/paddle/fluid/framework/tensor.cc @@ -13,7 +13,14 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/tensor.h" -#include "paddle/fluid/framework/var_type.h" + +namespace paddle { +namespace memory { +namespace allocation { +class Allocation; +} // namespace allocation +} // namespace memory +} // namespace paddle namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/tensor.h b/paddle/fluid/framework/tensor.h index f2ccff2c133a238d02e25c65faf41dd519fdb506..faecba6295d35fd9b6d841181a450a5a540a7074 100644 --- a/paddle/fluid/framework/tensor.h +++ b/paddle/fluid/framework/tensor.h @@ -20,6 +20,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/data_layout.h" #include "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/framework.pb.h" @@ -28,6 +29,14 @@ limitations under the License. */ #include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/place.h" +namespace paddle { +namespace memory { +namespace allocation { +class Allocation; +} // namespace allocation +} // namespace memory +} // namespace paddle + namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/tensor_test.cc b/paddle/fluid/framework/tensor_test.cc index cc972dd93d032c19015c86debebc27f7c8c0d155..92a29d5165ce790bbbc9673979c5994317bb3dfb 100644 --- a/paddle/fluid/framework/tensor_test.cc +++ b/paddle/fluid/framework/tensor_test.cc @@ -13,9 +13,15 @@ // limitations under the License. #include "paddle/fluid/framework/tensor.h" + #include #include -#include "paddle/fluid/platform/float16.h" + +namespace paddle { +namespace platform { +struct float16; +} // namespace platform +} // namespace paddle namespace framework = paddle::framework; namespace platform = paddle::platform; diff --git a/paddle/fluid/framework/tensor_util.cc b/paddle/fluid/framework/tensor_util.cc index 0e3d11b9f0257905cbede334afd0ad84ff15cb5c..a073dbd733f0b1f1bb1b94221b99d477cb8dfadb 100644 --- a/paddle/fluid/framework/tensor_util.cc +++ b/paddle/fluid/framework/tensor_util.cc @@ -664,7 +664,7 @@ void TensorToStream(std::ostream& os, const Tensor& tensor, uint64_t size = tensor.numel() * framework::SizeOfType(tensor.type()); auto* data_ptr = tensor.data(); - PADDLE_ENFORCE_LT(size, std::numeric_limits::max(), + PADDLE_ENFORCE_LT(size, (std::numeric_limits::max)(), platform::errors::ResourceExhausted( "tensor size %d overflow when writing tensor", size)); if (platform::is_gpu_place(tensor.place())) { diff --git a/paddle/fluid/framework/tensor_util.h b/paddle/fluid/framework/tensor_util.h index a0408dbc3dbb4ffca70ef322d93b662f1b953f7b..1e811a41e90af5f35562eae682669292922a6d69 100644 --- a/paddle/fluid/framework/tensor_util.h +++ b/paddle/fluid/framework/tensor_util.h @@ -14,6 +14,7 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/framework/data_type.h" #include "paddle/fluid/framework/dlpack_tensor.h" #include "paddle/fluid/framework/eigen.h" @@ -30,6 +31,8 @@ namespace framework { // If ctx_place and src_place are the same, src_ctx.Wait() is added // after memory::Copy; if ctx_place and dst_place are the same, // src_ctx.Wait() is added before memory::Copy. +class Tensor; + void TensorCopy(const Tensor& src, const platform::Place& dst_place, const platform::DeviceContext& ctx, Tensor* dst); diff --git a/paddle/fluid/framework/tensor_util_test.cc b/paddle/fluid/framework/tensor_util_test.cc index ef9964b3ae75fd65ded0fb5d94f9a97d06c138d5..e389cb34679a2459b547497a46e97586c7cd72bd 100644 --- a/paddle/fluid/framework/tensor_util_test.cc +++ b/paddle/fluid/framework/tensor_util_test.cc @@ -13,9 +13,9 @@ // limitations under the License. #include "paddle/fluid/framework/tensor_util.h" + #include #include -#include namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/threadpool.cc b/paddle/fluid/framework/threadpool.cc index 4682bfc264b68997abd0a87233c5ed39e7e50a63..3db8f3e36b7fbdac140487d00476f1c493a4b900 100644 --- a/paddle/fluid/framework/threadpool.cc +++ b/paddle/fluid/framework/threadpool.cc @@ -13,8 +13,6 @@ limitations under the License. */ #include "paddle/fluid/framework/threadpool.h" -#include -#include #include "gflags/gflags.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/framework/threadpool.h b/paddle/fluid/framework/threadpool.h index 09528b6fc35bf49ac3110440a62aba3200341e15..7fecf07475b1457bf6d19279493517c55f057194 100644 --- a/paddle/fluid/framework/threadpool.h +++ b/paddle/fluid/framework/threadpool.h @@ -23,6 +23,7 @@ limitations under the License. */ #include // NOLINT #include #include + #include "glog/logging.h" #include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/macros.h" // for DISABLE_COPY_AND_ASSIGN diff --git a/paddle/fluid/framework/trainer.h b/paddle/fluid/framework/trainer.h index 077fe75172022c8fe501bd1143895115298417bf..ecaec49aa461cd6134cb60b7af7adb50f1a94686 100644 --- a/paddle/fluid/framework/trainer.h +++ b/paddle/fluid/framework/trainer.h @@ -14,14 +14,15 @@ limitations under the License. */ #pragma once +#include #include +#include #include #include // NOLINT #include #include // NOLINT #include -#include #include "paddle/fluid/framework/data_feed.h" #include "paddle/fluid/framework/data_set.h" #include "paddle/fluid/framework/device_worker.h" @@ -38,6 +39,15 @@ limitations under the License. */ namespace paddle { namespace framework { +class Dataset; +class LoDTensor; +class ProgramDesc; +class PullDenseWorker; +class Scope; +class VarDesc; +template +class ChannelObject; + class TrainerBase { public: TrainerBase() {} @@ -128,7 +138,8 @@ class DistMultiTrainer : public MultiTrainer { std::shared_ptr pull_dense_worker_; }; -#if (defined PADDLE_WITH_CUDA) && (defined PADDLE_WITH_PSLIB) +#if (defined PADDLE_WITH_CUDA || defined PADDLE_WITH_XPU) && \ + (defined PADDLE_WITH_PSLIB) class HeterServiceContext { public: HeterServiceContext() {} @@ -141,7 +152,9 @@ class HeterServiceContext { void Reset() { push_dense_status_.clear(); } int place_num_; Scope* scope_{nullptr}; +#ifdef PADDLE_WITH_CUDA cudaEvent_t event_; +#endif std::vector ops_; std::vector<::std::future> push_dense_status_; }; @@ -168,10 +181,18 @@ class HeterXpuTrainer : public TrainerBase { virtual void CacheProgram(const ProgramDesc& main_program) { new (&program_) ProgramDesc(main_program); } + virtual std::string GetDumpPath(int tid) { return ""; } + virtual void InitDumpEnv() {} template +#ifdef PADDLE_WITH_CUDA void HeterMemCpy(LoDTensor* tensor, LoDTensor* root_tensor, const paddle::platform::Place& thread_place, cudaStream_t stream); +#endif +#ifdef PADDLE_WITH_XPU + void HeterMemCpy(LoDTensor* thread_tensor, LoDTensor* root_tensor, + const paddle::platform::Place& thread_place); +#endif void CreateThreadParam(const ProgramDesc& program, int num); template void MergeToRootScope(LoDTensor* root_tensor, LoDTensor* thread_tensor); @@ -197,9 +218,11 @@ class HeterXpuTrainer : public TrainerBase { std::vector op_names_; std::vector place_scopes_; BtObjectPool object_pool_; - std::vector copy_streams_; std::vector places_; +#ifdef PADDLE_WITH_CUDA + std::vector copy_streams_; std::vector events_; +#endif }; #endif diff --git a/paddle/fluid/framework/trainer_factory.cc b/paddle/fluid/framework/trainer_factory.cc index 31ac11e78cff15f12660b84b96a007690aa77ae3..cc92c50cc428a59905ce3864a0b89f591d1b2390 100644 --- a/paddle/fluid/framework/trainer_factory.cc +++ b/paddle/fluid/framework/trainer_factory.cc @@ -17,11 +17,11 @@ limitations under the License. */ #include #include -#include "paddle/fluid/framework/trainer.h" - namespace paddle { namespace framework { +class TrainerBase; + typedef std::shared_ptr (*CreatetrainerFunction)(); typedef std::unordered_map trainerMap; trainerMap g_trainer_map; @@ -63,7 +63,8 @@ std::shared_ptr TrainerFactory::CreateTrainer( REGISTER_TRAINER_CLASS(MultiTrainer); REGISTER_TRAINER_CLASS(DistMultiTrainer); -#if (defined PADDLE_WITH_CUDA) && (defined PADDLE_WITH_PSLIB) +#if (defined PADDLE_WITH_CUDA || defined PADDLE_WITH_XPU) && \ + (defined PADDLE_WITH_PSLIB) REGISTER_TRAINER_CLASS(HeterXpuTrainer); #endif #if defined(PADDLE_WITH_NCCL) diff --git a/paddle/fluid/framework/trainer_factory.h b/paddle/fluid/framework/trainer_factory.h index 9c772a4f19ed9ba50f704ed62ef361555b1285fb..3ef61c03817523d153d966102ca43a30bfdcbb6b 100644 --- a/paddle/fluid/framework/trainer_factory.h +++ b/paddle/fluid/framework/trainer_factory.h @@ -16,11 +16,14 @@ limitations under the License. */ #include #include + #include "paddle/fluid/framework/trainer.h" namespace paddle { namespace framework { +class TrainerBase; + class TrainerFactory { public: static std::string TrainerTypeList(); diff --git a/paddle/fluid/framework/transfer_scope_cache.h b/paddle/fluid/framework/transfer_scope_cache.h index 9a5d45263219adacddb9e9280feec40cfb1ff903..7ff6020ff2abf1f666ed6332d3014caece072cdd 100644 --- a/paddle/fluid/framework/transfer_scope_cache.h +++ b/paddle/fluid/framework/transfer_scope_cache.h @@ -17,12 +17,16 @@ #include // NOLINT #include #include + #include "paddle/fluid/framework/op_kernel_type.h" #include "paddle/fluid/framework/scope.h" namespace paddle { namespace framework { +class OpKernelType; +class Scope; + std::unordered_map& global_transfer_data_cache(); std::unordered_set& global_transfer_scope_cache(); diff --git a/paddle/fluid/framework/tuple.h b/paddle/fluid/framework/tuple.h index 508ee931c6ed7f66e09abd8f0e4b33c3d3c135fd..35b8220d453addb14a9947cd0828e6c4208fe563 100644 --- a/paddle/fluid/framework/tuple.h +++ b/paddle/fluid/framework/tuple.h @@ -17,6 +17,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/framework/var_desc.h" diff --git a/paddle/fluid/framework/tuple_test.cc b/paddle/fluid/framework/tuple_test.cc index cfdd4dc56e4c006f6c614bda143d5cc11e666732..9060bd3fc89bd8ca2aa7e05a09b0494ceabd3eaa 100644 --- a/paddle/fluid/framework/tuple_test.cc +++ b/paddle/fluid/framework/tuple_test.cc @@ -11,11 +11,8 @@ distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include -#include - -#include "gtest/gtest.h" #include "paddle/fluid/framework/tuple.h" +#include "gtest/gtest.h" TEST(Tuple, Make) { std::vector element_type; diff --git a/paddle/fluid/framework/unroll_array_ops.h b/paddle/fluid/framework/unroll_array_ops.h index ab17641080551166f246c69d42ed85df3892a3e0..a9c047cc6c6acfa5df157389fcd6055957c7bf4c 100644 --- a/paddle/fluid/framework/unroll_array_ops.h +++ b/paddle/fluid/framework/unroll_array_ops.h @@ -15,6 +15,7 @@ #pragma once #include #include + #include "paddle/fluid/platform/hostdevice.h" namespace paddle { diff --git a/paddle/fluid/framework/unroll_array_ops_test.cc b/paddle/fluid/framework/unroll_array_ops_test.cc index be811478eec17e0986ae7579ff323d94dea3155a..c4fdfdb425f23eb0e1aef3f2414b26afd421bac4 100644 --- a/paddle/fluid/framework/unroll_array_ops_test.cc +++ b/paddle/fluid/framework/unroll_array_ops_test.cc @@ -13,10 +13,9 @@ // limitations under the License. #include "paddle/fluid/framework/unroll_array_ops.h" + #include -#include #include -#include namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/unused_var_check.cc b/paddle/fluid/framework/unused_var_check.cc index e7e964b41818597404d9a6e510c0743f4f8c3f7e..ac455b9ffd7c1231003b337e47a3fa17ec052b9a 100644 --- a/paddle/fluid/framework/unused_var_check.cc +++ b/paddle/fluid/framework/unused_var_check.cc @@ -16,11 +16,11 @@ limitations under the License. */ #include #include - #include -#include #include +#include "paddle/fluid/framework/no_need_buffer_vars_inference.h" +#include "paddle/fluid/framework/op_info.h" #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/framework/unused_var_check.h b/paddle/fluid/framework/unused_var_check.h index 2f44a3bcde0bc2e6fe8b33247444166728d03ad4..d78b4d928f3ec85fe768f2de1316111533579bec 100644 --- a/paddle/fluid/framework/unused_var_check.h +++ b/paddle/fluid/framework/unused_var_check.h @@ -16,7 +16,6 @@ limitations under the License. */ #include #include - #include #include diff --git a/paddle/fluid/framework/var_desc.cc b/paddle/fluid/framework/var_desc.cc index 2ee0b17b64b6df7a2f66b208f5b5879683db6656..457c0c77b3c427501eebdf27b4d01d47b116c519 100644 --- a/paddle/fluid/framework/var_desc.cc +++ b/paddle/fluid/framework/var_desc.cc @@ -12,8 +12,6 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include - #include "paddle/fluid/framework/var_desc.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/framework/var_desc.h b/paddle/fluid/framework/var_desc.h index 6e8be0fdd42e038bf55bd0c63e47fe3cb006cbf4..b37a09a17a985c29d92e0f5dafc7db16cdafc9fc 100644 --- a/paddle/fluid/framework/var_desc.h +++ b/paddle/fluid/framework/var_desc.h @@ -17,6 +17,7 @@ limitations under the License. */ #include #include #include + #include "glog/logging.h" #include "paddle/fluid/framework/framework.pb.h" diff --git a/paddle/fluid/framework/var_type_inference.h b/paddle/fluid/framework/var_type_inference.h index 9312ac075dec3e240e6fa56a632b50509c0c2632..f649c9388f0f6518dc4f8a587f5c9f9c01451373 100644 --- a/paddle/fluid/framework/var_type_inference.h +++ b/paddle/fluid/framework/var_type_inference.h @@ -17,6 +17,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/block_desc.h" #include "paddle/fluid/framework/op_desc.h" #include "paddle/fluid/framework/type_defs.h" @@ -24,8 +25,8 @@ limitations under the License. */ namespace paddle { namespace framework { -class OpDesc; class BlockDesc; +class OpDesc; class StaticGraphVarTypeInference; // default infer var type context diff --git a/paddle/fluid/framework/var_type_inference_test.cc b/paddle/fluid/framework/var_type_inference_test.cc index dc86d58f600b83a8ed59f22d9cd73fac7fab13b3..5483ef01c08445b1ee2e44a5288994d7769cf303 100644 --- a/paddle/fluid/framework/var_type_inference_test.cc +++ b/paddle/fluid/framework/var_type_inference_test.cc @@ -13,7 +13,9 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/var_type_inference.h" + #include + #include "gtest/gtest.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/operator.h" @@ -22,6 +24,8 @@ limitations under the License. */ namespace paddle { namespace framework { +class Scope; + class NOP : public OperatorBase { public: NOP(const std::string& type, const VariableNameMap& inputs, diff --git a/paddle/fluid/framework/var_type_traits.h b/paddle/fluid/framework/var_type_traits.h index 4875956096a09bea7f9feb3eaf12a16dc28ee255..07387f87411af9c9413e5c83351c8b5836df8284 100644 --- a/paddle/fluid/framework/var_type_traits.h +++ b/paddle/fluid/framework/var_type_traits.h @@ -19,6 +19,7 @@ #include #include #include + #include "paddle/fluid/framework/feed_fetch_type.h" #include "paddle/fluid/framework/framework.pb.h" #include "paddle/fluid/framework/lod_tensor_array.h" @@ -43,12 +44,12 @@ class NCCLCommunicator; } // namespace platform namespace framework { -class Tensor; -class LoDTensor; -class SelectedRows; class LoDRankTable; +class LoDTensor; class ReaderHolder; class Scope; +class SelectedRows; +class Tensor; } // namespace framework namespace operators { diff --git a/paddle/fluid/framework/variable_helper.h b/paddle/fluid/framework/variable_helper.h index 01a5d09e0728b2af6e9bf650f0d58af43a9a53ab..6e65bc2c932877e5365f4533631d50afae4465b3 100644 --- a/paddle/fluid/framework/variable_helper.h +++ b/paddle/fluid/framework/variable_helper.h @@ -21,6 +21,8 @@ limitations under the License. */ namespace paddle { namespace framework { +class Variable; + void InitializeVariable(Variable* var, proto::VarType::Type var_type); void CopyVariable(const Variable& src_var, Variable* dst_var); diff --git a/paddle/fluid/framework/variable_test.cc b/paddle/fluid/framework/variable_test.cc index 511c9c52146ece4b90905cc9d49565103589c1ec..98a8ff9cf3ebf5c877b4611f2cf27d2fe6b1ec20 100644 --- a/paddle/fluid/framework/variable_test.cc +++ b/paddle/fluid/framework/variable_test.cc @@ -12,12 +12,8 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include -#include - -#include "gtest/gtest.h" -#include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/framework/variable.h" +#include "gtest/gtest.h" namespace paddle { namespace framework { diff --git a/paddle/fluid/framework/version.cc b/paddle/fluid/framework/version.cc index 7ba00f52e67f5431bb0dc70dbd5b743ca611fff8..92042e47259861151333e3c1073fc2a85a5f68f2 100644 --- a/paddle/fluid/framework/version.cc +++ b/paddle/fluid/framework/version.cc @@ -13,7 +13,7 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/version.h" -#include + #include namespace paddle { diff --git a/paddle/fluid/imperative/all_reduce.h b/paddle/fluid/imperative/all_reduce.h index 81880d0fb89b7e372f5b0b158ae9a206eb64215d..249fb4e11f12beb0c7543d96732ffcae6143c8da 100644 --- a/paddle/fluid/imperative/all_reduce.h +++ b/paddle/fluid/imperative/all_reduce.h @@ -25,9 +25,17 @@ #include "paddle/fluid/framework/variable.h" #include "paddle/fluid/imperative/nccl_context.h" +namespace paddle { +namespace framework { +class Variable; +} // namespace framework +} // namespace paddle + namespace paddle { namespace imperative { +struct ParallelStrategy; + void AllReduce(const framework::Variable &src, framework::Variable *dst, const ParallelStrategy &strategy); diff --git a/paddle/fluid/imperative/amp_auto_cast.cc b/paddle/fluid/imperative/amp_auto_cast.cc index c980b014b823e21f117bc6e44037349b06a1fdfd..d4a1519b07e8ca5c3fecee2b276aed27fc4e0c44 100644 --- a/paddle/fluid/imperative/amp_auto_cast.cc +++ b/paddle/fluid/imperative/amp_auto_cast.cc @@ -14,20 +14,17 @@ #include "paddle/fluid/imperative/amp_auto_cast.h" -#include #include -#include #include -#include #include -#include "paddle/fluid/imperative/layer.h" #include "paddle/fluid/imperative/tracer.h" -#include "paddle/fluid/imperative/variable_wrapper.h" namespace paddle { namespace imperative { +class VarBase; + AmpOperators::AmpOperators() : allow_ops_(new std::unordered_set()), block_ops_(new std::unordered_set()) {} diff --git a/paddle/fluid/imperative/amp_auto_cast.h b/paddle/fluid/imperative/amp_auto_cast.h index d1da97e5a39057aed3ed0b4a450bd4a4f5c06984..7ab876c1ce82905dec19380ff33f33e23be7c023 100644 --- a/paddle/fluid/imperative/amp_auto_cast.h +++ b/paddle/fluid/imperative/amp_auto_cast.h @@ -26,6 +26,8 @@ namespace paddle { namespace imperative { // Singleton implementation with C++ 11 +class Tracer; + class AmpOperators { public: ~AmpOperators(); diff --git a/paddle/fluid/imperative/data_loader.cc b/paddle/fluid/imperative/data_loader.cc index 3b8239e566d21b2a15f0829c52b92ba2aa23d4f3..a2fccf7901ffa430e8d8ecb05c6fd1e32b3b45b6 100644 --- a/paddle/fluid/imperative/data_loader.cc +++ b/paddle/fluid/imperative/data_loader.cc @@ -16,13 +16,9 @@ #include "paddle/fluid/imperative/data_loader.h" -#include #include - -#include #include #include -#include #include "paddle/fluid/memory/allocation/mmap_allocator.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/imperative/gradient_accumulator.cc b/paddle/fluid/imperative/gradient_accumulator.cc index 7caeb4378ce3d1ca1d1557054642c9fa184bea39..07f1868b7fa29914b4d362cf2c71d9380ca446be 100644 --- a/paddle/fluid/imperative/gradient_accumulator.cc +++ b/paddle/fluid/imperative/gradient_accumulator.cc @@ -13,9 +13,11 @@ // limitations under the License. #include "paddle/fluid/imperative/gradient_accumulator.h" + #include #include #include + #include "paddle/fluid/framework/framework.pb.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/selected_rows.h" @@ -136,9 +138,13 @@ void TensorAdd(const framework::Variable& src, framework::Variable* dst) { return; } - PADDLE_ENFORCE_EQ(dst_tensor->numel() == numel, true, - "dst_numel %d vs. src_numel %d", dst_tensor->numel(), - numel); + PADDLE_ENFORCE_EQ( + dst_tensor->numel(), numel, + platform::errors::PreconditionNotMet( + "The number of elements of source tensor and destination tensor " + "should be equal, but got the number of elements of source tensor is " + "%zu and the number of elements of destination tensor is %zu.", + numel, dst_tensor->numel())); auto data_type = src_tensor.type(); auto place = src_tensor.place(); diff --git a/paddle/fluid/imperative/jit/op_desc_meta.cc b/paddle/fluid/imperative/jit/op_desc_meta.cc index f5c009859003c8047ceb44370e01f51527a57591..d256dafb8919a5ee2025ee3bb061d5d688d23b4b 100644 --- a/paddle/fluid/imperative/jit/op_desc_meta.cc +++ b/paddle/fluid/imperative/jit/op_desc_meta.cc @@ -13,7 +13,6 @@ // limitations under the License. #include "paddle/fluid/imperative/jit/op_desc_meta.h" -#include "paddle/fluid/framework/op_info.h" namespace paddle { namespace imperative { diff --git a/paddle/fluid/imperative/jit/op_desc_meta.h b/paddle/fluid/imperative/jit/op_desc_meta.h index 506afee6a99b034b1cc1d3ce209d12dd30fce43d..c59b2c885d2b46524288cd983ca55620a6ba9009 100644 --- a/paddle/fluid/imperative/jit/op_desc_meta.h +++ b/paddle/fluid/imperative/jit/op_desc_meta.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/imperative/layer.h" #include "paddle/fluid/imperative/type_defs.h" diff --git a/paddle/fluid/imperative/jit/program_desc_tracer.cc b/paddle/fluid/imperative/jit/program_desc_tracer.cc index be93a787d46035838d4d956a8d6881d802b93430..59ff5b4eae4419274412160632ed78c02b298867 100644 --- a/paddle/fluid/imperative/jit/program_desc_tracer.cc +++ b/paddle/fluid/imperative/jit/program_desc_tracer.cc @@ -13,9 +13,15 @@ // limitations under the License. #include "paddle/fluid/imperative/jit/program_desc_tracer.h" + #include #include -#include + +namespace paddle { +namespace imperative { +class VarBase; +} // namespace imperative +} // namespace paddle namespace paddle { namespace imperative { @@ -198,7 +204,8 @@ TracedProgramTuple ProgramDescTracer::CreateProgramDesc( void ProgramDescTracer::InsertVarIfNotExist( const std::shared_ptr &new_var, bool is_input) { - PADDLE_ENFORCE_NOT_NULL(new_var); + PADDLE_ENFORCE_NOT_NULL(new_var, platform::errors::InvalidArgument( + "The variable to insert is NULL.")); if (vars_.count(new_var) != 0) return; auto new_var_desc = new framework::VarDesc(""); @@ -215,7 +222,9 @@ void ProgramDescTracer::InsertVarIfNotExist( } const auto &inner_var = new_var->Var(); - PADDLE_ENFORCE_EQ(inner_var.IsInitialized(), true); + PADDLE_ENFORCE_EQ(inner_var.IsInitialized(), true, + platform::errors::InvalidArgument( + "The variable to insert is not initialized.")); if (inner_var.IsType()) { const auto &tensor = inner_var.Get(); new_var_desc->SetType(framework::proto::VarType::LOD_TENSOR); @@ -227,8 +236,9 @@ void ProgramDescTracer::InsertVarIfNotExist( new_var_desc->SetDataType(framework::proto::VarType::FP32); } } else { - PADDLE_THROW("Not support variable type %s", - framework::ToTypeName(inner_var.Type())); + PADDLE_THROW(platform::errors::InvalidArgument( + "Not support variable type %s.", + framework::ToTypeName(inner_var.Type()))); } } diff --git a/paddle/fluid/imperative/jit/program_desc_tracer.h b/paddle/fluid/imperative/jit/program_desc_tracer.h index d07acec22305e5a340a698ad85dbf15c183e9ccb..8e2e59a49ed7be473a1f89aaefde6bf123a9dea9 100644 --- a/paddle/fluid/imperative/jit/program_desc_tracer.h +++ b/paddle/fluid/imperative/jit/program_desc_tracer.h @@ -21,12 +21,19 @@ #include #include #include + #include "paddle/fluid/framework/program_desc.h" #include "paddle/fluid/imperative/jit/op_desc_meta.h" #include "paddle/fluid/imperative/layer.h" #include "paddle/fluid/imperative/type_defs.h" #include "paddle/fluid/platform/macros.h" +namespace paddle { +namespace imperative { +class VarBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace imperative { namespace jit { diff --git a/paddle/fluid/imperative/layer.h b/paddle/fluid/imperative/layer.h index 03e83301d44a35dc98e9a1aee0e1b22ef2380d50..d4df052a40d307c31978c33d9e14aef9ed4b3b82 100644 --- a/paddle/fluid/imperative/layer.h +++ b/paddle/fluid/imperative/layer.h @@ -24,6 +24,7 @@ #include #include #include + #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/framework/type_defs.h" #include "paddle/fluid/framework/var_type.h" @@ -35,10 +36,18 @@ #include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/macros.h" +namespace paddle { +namespace framework { +class Variable; +} // namespace framework +} // namespace paddle + namespace paddle { namespace imperative { class OpBase; +class GradOpNode; +class VariableWrapper; class ThreadSafeNameSet { public: diff --git a/paddle/fluid/imperative/nccl_context.cc b/paddle/fluid/imperative/nccl_context.cc index 115078e7eadfc03153fc95ef05a9d4bb6cd40369..c8fd31fcbffe680da36d03276ec0d4c1095030bc 100644 --- a/paddle/fluid/imperative/nccl_context.cc +++ b/paddle/fluid/imperative/nccl_context.cc @@ -13,6 +13,7 @@ // limitations under the License. #include "paddle/fluid/imperative/nccl_context.h" + #include "paddle/fluid/platform/collective_helper.h" namespace paddle { @@ -21,8 +22,10 @@ namespace imperative { void NCCLParallelContext::RecvNCCLID(const std::string &ep, ncclUniqueId *nccl_id) { auto addr = paddle::string::Split(ep, ':'); - PADDLE_ENFORCE_EQ(addr.size(), 2UL, - "The endpoint should contain host and port: %s", ep); + PADDLE_ENFORCE_EQ( + addr.size(), 2UL, + platform::errors::InvalidArgument( + "The endpoint should contain host and port, but got %s.", ep)); std::string host = addr[0]; int port = std::stoi(addr[1]); @@ -32,27 +35,41 @@ void NCCLParallelContext::RecvNCCLID(const std::string &ep, char buffer[1024] = {0}; int opt = 0; // creating socket fd - if ((server_fd = socket(AF_INET, SOCK_STREAM, 0)) == 0) - PADDLE_THROW("create server fd failed"); - if (setsockopt(server_fd, SOL_SOCKET, SO_REUSEADDR, &opt, sizeof(opt))) - PADDLE_THROW("set socket opt failed"); + if ((server_fd = socket(AF_INET, SOCK_STREAM, 0)) == 0) { + PADDLE_THROW( + platform::errors::Unavailable("Create server file descriptor failed.")); + } + + if (setsockopt(server_fd, SOL_SOCKET, SO_REUSEADDR, &opt, sizeof(opt))) { + PADDLE_THROW(platform::errors::Unavailable("Set socket options failed.")); + } address.sin_family = AF_INET; address.sin_addr.s_addr = INADDR_ANY; address.sin_port = htons(port); - if (bind(server_fd, (struct sockaddr *)&address, sizeof(address)) < 0) - PADDLE_THROW("binding failed on ep: %s", ep); + if (bind(server_fd, (struct sockaddr *)&address, sizeof(address)) < 0) { + PADDLE_THROW( + platform::errors::Unavailable("Bind on endpoint %s failed.", ep)); + } + VLOG(3) << "listening on: " << ep; - if (listen(server_fd, 3) < 0) PADDLE_THROW("listen on server fd failed"); + if (listen(server_fd, 3) < 0) { + PADDLE_THROW(platform::errors::Unavailable( + "Listen on server file descriptor failed.")); + } if ((new_socket = accept(server_fd, reinterpret_cast(&address), - reinterpret_cast(&addrlen))) < 0) - PADDLE_THROW("accept the new socket fd failed"); + reinterpret_cast(&addrlen))) < 0) { + PADDLE_THROW(platform::errors::Unavailable( + "Accept the new socket file descriptor failed.")); + } + + if (read(new_socket, buffer, 1024) < 0) { + PADDLE_THROW(platform::errors::Unavailable("Read from socket failed.")); + } - if (read(new_socket, buffer, 1024) < 0) - PADDLE_THROW("reading the ncclUniqueId from socket failed"); VLOG(3) << "recevived the ncclUniqueId"; memcpy(nccl_id, buffer, NCCL_UNIQUE_ID_BYTES); @@ -63,8 +80,10 @@ void NCCLParallelContext::RecvNCCLID(const std::string &ep, void NCCLParallelContext::SendNCCLID(const std::string &ep, ncclUniqueId *nccl_id) { auto addr = paddle::string::Split(ep, ':'); - PADDLE_ENFORCE_EQ(addr.size(), 2UL, - "The endpoint should contain host and port: %s", ep); + PADDLE_ENFORCE_EQ( + addr.size(), 2UL, + platform::errors::InvalidArgument( + "The endpoint should contain host and port, but got %s.", ep)); std::string host = addr[0]; int port = std::stoi(addr[1]); // struct sockaddr_in address; @@ -73,15 +92,17 @@ void NCCLParallelContext::SendNCCLID(const std::string &ep, char buffer[1024] = {0}; memcpy(buffer, nccl_id, NCCL_UNIQUE_ID_BYTES); - if ((sock = socket(AF_INET, SOCK_STREAM, 0)) < 0) - PADDLE_THROW("create socket failed"); + if ((sock = socket(AF_INET, SOCK_STREAM, 0)) < 0) { + PADDLE_THROW(platform::errors::Unavailable("Create socket failed.")); + } memset(&serv_addr, '0', sizeof(serv_addr)); serv_addr.sin_family = AF_INET; serv_addr.sin_port = htons(port); - if (inet_pton(AF_INET, host.c_str(), &serv_addr.sin_addr) <= 0) - PADDLE_THROW("invalied address: %s", ep); + if (inet_pton(AF_INET, host.c_str(), &serv_addr.sin_addr) <= 0) { + PADDLE_THROW(platform::errors::Unavailable("Open address %s failed.", ep)); + } int try_times = 0; while (true) { diff --git a/paddle/fluid/imperative/prepared_operator.h b/paddle/fluid/imperative/prepared_operator.h index bf02eebdbb6be6638592017b264f0ef5054537ff..3bf032e642bb72f00f4bc045f7ffccff0c7e0263 100644 --- a/paddle/fluid/imperative/prepared_operator.h +++ b/paddle/fluid/imperative/prepared_operator.h @@ -17,12 +17,23 @@ #include #include #include + #include "paddle/fluid/framework/data_transform.h" #include "paddle/fluid/framework/op_kernel_type.h" #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/imperative/layer.h" #include "paddle/fluid/imperative/type_defs.h" +namespace paddle { +namespace framework { +class Tensor; +class Variable; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace imperative { diff --git a/paddle/fluid/imperative/profiler.cc b/paddle/fluid/imperative/profiler.cc index 34570b3a60ec83fdeb1577789271942125b16eb1..85063a6821680f6c990282f8492b3fe9f54bfbf5 100644 --- a/paddle/fluid/imperative/profiler.cc +++ b/paddle/fluid/imperative/profiler.cc @@ -19,8 +19,7 @@ #endif #include #include -#include // NOLINT -#include // NOLINT +#include // NOLINT DEFINE_string( tracer_profile_fname, "xxgperf", diff --git a/paddle/fluid/imperative/tests/nccl_context_test.cc b/paddle/fluid/imperative/tests/nccl_context_test.cc index 8ce257a6c37d7d4b0fa5bc3610ee7283fdcf0659..93ea988d638e4b67dde4707ca51f8ff1088d9059 100644 --- a/paddle/fluid/imperative/tests/nccl_context_test.cc +++ b/paddle/fluid/imperative/tests/nccl_context_test.cc @@ -13,8 +13,8 @@ // limitations under the License. #include "paddle/fluid/imperative/nccl_context.h" + #include "gtest/gtest.h" -#include "paddle/fluid/platform/device_context.h" namespace imperative = paddle::imperative; namespace platform = paddle::platform; diff --git a/paddle/fluid/inference/CMakeLists.txt b/paddle/fluid/inference/CMakeLists.txt index cf6fcb7b64365b382c648dd83639e0c44670014d..f85e1f651165646095dae06032cdec962a37a2d1 100644 --- a/paddle/fluid/inference/CMakeLists.txt +++ b/paddle/fluid/inference/CMakeLists.txt @@ -44,14 +44,9 @@ add_subdirectory(api) set(STATIC_INFERENCE_API paddle_inference_api analysis_predictor zero_copy_tensor reset_tensor_array analysis_config paddle_pass_builder activation_functions ${mkldnn_quantizer_cfg}) -# TODO(xingzhaolong, jiweibo): remove this and create_static_lib(paddle_fluid) on windows GPU -if(WIN32 AND WITH_GPU) - cc_library(paddle_fluid DEPS ${fluid_modules} ${STATIC_INFERENCE_API}) -else() - create_static_lib(paddle_fluid ${fluid_modules} ${STATIC_INFERENCE_API}) -endif() +create_static_lib(paddle_fluid ${fluid_modules} ${STATIC_INFERENCE_API}) -if(NOT APPLE AND NOT WIN32) +if(NOT APPLE) # TODO(liuyiqu: Temporarily disable the link flag because it is not support on Mac. set(LINK_FLAGS "-Wl,--retain-symbols-file ${CMAKE_CURRENT_SOURCE_DIR}/paddle_fluid.sym") set_target_properties(paddle_fluid PROPERTIES LINK_FLAGS "${LINK_FLAGS}") diff --git a/paddle/fluid/inference/analysis/ir_passes/subgraph_util.cc b/paddle/fluid/inference/analysis/ir_passes/subgraph_util.cc index ebb19fd486cc89c69d70de3fa98954b9ee415f1a..ee1093104834d5758b7abc1a0a538aa9a84d64fe 100644 --- a/paddle/fluid/inference/analysis/ir_passes/subgraph_util.cc +++ b/paddle/fluid/inference/analysis/ir_passes/subgraph_util.cc @@ -18,7 +18,14 @@ limitations under the License. */ #include "paddle/fluid/inference/analysis/ir_passes/subgraph_util.h" #include -#include + +namespace paddle { +namespace framework { +namespace ir { +class Node; +} // namespace ir +} // namespace framework +} // namespace paddle namespace paddle { namespace inference { diff --git a/paddle/fluid/inference/analysis/ir_passes/subgraph_util.h b/paddle/fluid/inference/analysis/ir_passes/subgraph_util.h index 1257562972eec85e6503a47fbb7bb3be40d2b83c..621c631b8539beb9b35dcd33f3d14ef5e5745396 100644 --- a/paddle/fluid/inference/analysis/ir_passes/subgraph_util.h +++ b/paddle/fluid/inference/analysis/ir_passes/subgraph_util.h @@ -27,6 +27,12 @@ limitations under the License. */ #include "paddle/fluid/framework/ir/graph_traits.h" #include "paddle/fluid/framework/ir/node.h" +namespace paddle { +namespace framework { +class BlockDesc; +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace analysis { diff --git a/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.h b/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.h index b6b67ce8eceb40cbf0aa98fe56684d76ce6c9602..bb0248008e0306d28a67ab134abb9ce39587f5c2 100644 --- a/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.h +++ b/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.h @@ -18,11 +18,21 @@ #include #include #include + #include "paddle/fluid/framework/ir/fuse_pass_base.h" #include "paddle/fluid/framework/ir/pass.h" #include "paddle/fluid/inference/analysis/ir_passes/subgraph_util.h" #include "paddle/fluid/inference/api/paddle_analysis_config.h" +namespace paddle { +namespace framework { +namespace ir { +class Graph; +class Node; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace analysis { diff --git a/paddle/fluid/inference/analysis/passes/adjust_cudnn_workspace_size_pass.h b/paddle/fluid/inference/analysis/passes/adjust_cudnn_workspace_size_pass.h index 65d1c545313e110028a92776e73a070d32010420..66d5667a37ce8f9e43b01d204df5ea9014b54564 100644 --- a/paddle/fluid/inference/analysis/passes/adjust_cudnn_workspace_size_pass.h +++ b/paddle/fluid/inference/analysis/passes/adjust_cudnn_workspace_size_pass.h @@ -30,6 +30,8 @@ namespace analysis { * The default cudnn workspace is 4G, we set it to 64M in this pass, which * is applicable for most inference tasks. */ +struct Argument; + class AdjustCudnnWorkSpacePass : public AnalysisPass { public: void RunImpl(Argument *argument) override; diff --git a/paddle/fluid/inference/analysis/passes/inference_op_replace_pass.h b/paddle/fluid/inference/analysis/passes/inference_op_replace_pass.h index 7fbdd88e014ba83277e45798b98ab90af3191f99..bbdf8b1009a55f84710778c575a1848798869734 100644 --- a/paddle/fluid/inference/analysis/passes/inference_op_replace_pass.h +++ b/paddle/fluid/inference/analysis/passes/inference_op_replace_pass.h @@ -32,6 +32,8 @@ namespace analysis { * So, We added the corresponding inference impl to these ops separately. * This pass replaces these ops with corresponding inference ops. */ +struct Argument; + class InferenceOpReplacePass : public AnalysisPass { public: void RunImpl(Argument *argument) override; diff --git a/paddle/fluid/inference/analysis/passes/ir_graph_clean_pass.h b/paddle/fluid/inference/analysis/passes/ir_graph_clean_pass.h index a9d58aa2f4cbb5d135221b0d02c633f6f78c8190..a4d60e91e8455c2c27fd9a146a30d03207ff3dc2 100644 --- a/paddle/fluid/inference/analysis/passes/ir_graph_clean_pass.h +++ b/paddle/fluid/inference/analysis/passes/ir_graph_clean_pass.h @@ -16,12 +16,15 @@ #include #include + #include "paddle/fluid/inference/analysis/analysis_pass.h" namespace paddle { namespace inference { namespace analysis { +struct Argument; + class IrInferCleanGraphPass : public AnalysisPass { public: void RunImpl(Argument *argument) override; diff --git a/paddle/fluid/inference/analysis/passes/ir_graph_to_program_pass.h b/paddle/fluid/inference/analysis/passes/ir_graph_to_program_pass.h index 838ebdbc9d71eb3a73882e4c4c3e4bf6078150e4..613eb04497e61824e1b64b5dbfb4c80c81932227 100644 --- a/paddle/fluid/inference/analysis/passes/ir_graph_to_program_pass.h +++ b/paddle/fluid/inference/analysis/passes/ir_graph_to_program_pass.h @@ -14,12 +14,15 @@ #pragma once +#include #include "paddle/fluid/inference/analysis/analysis_pass.h" namespace paddle { namespace inference { namespace analysis { +struct Argument; + class IrGraphToProgramPass : public AnalysisPass { public: void RunImpl(Argument *argument) override; diff --git a/paddle/fluid/inference/analysis/passes/memory_optimize_pass.cc b/paddle/fluid/inference/analysis/passes/memory_optimize_pass.cc index f432188131eddc402e696091ab3723697216aadf..defa0a525f6885a6206f54e6a27190ba181b74a2 100644 --- a/paddle/fluid/inference/analysis/passes/memory_optimize_pass.cc +++ b/paddle/fluid/inference/analysis/passes/memory_optimize_pass.cc @@ -13,23 +13,24 @@ // limitations under the License. #include "paddle/fluid/inference/analysis/passes/memory_optimize_pass.h" + #include -#include #include #include -#include #include #include -#include #include -#include + #include "paddle/fluid/framework/ir/graph_helper.h" -#include "paddle/fluid/framework/ir/graph_pattern_detector.h" -#include "paddle/fluid/framework/ir/graph_to_program_pass.h" -#include "paddle/fluid/framework/ir/graph_traits.h" -#include "paddle/fluid/inference/analysis/helper.h" -#include "paddle/fluid/inference/api/helper.h" -#include "paddle/fluid/string/pretty_log.h" + +namespace paddle { +namespace framework { +namespace ir { +class Graph; +class Node; +} // namespace ir +} // namespace framework +} // namespace paddle namespace paddle { namespace inference { diff --git a/paddle/fluid/inference/analysis/passes/memory_optimize_pass.h b/paddle/fluid/inference/analysis/passes/memory_optimize_pass.h index 77da5d40d8dea96e6d7ae833501626894c6d7b37..6d20aee295b7c1d2fe533bf8cd5195cb105afe2a 100644 --- a/paddle/fluid/inference/analysis/passes/memory_optimize_pass.h +++ b/paddle/fluid/inference/analysis/passes/memory_optimize_pass.h @@ -18,9 +18,18 @@ #include #include #include + #include "paddle/fluid/inference/analysis/analysis_pass.h" #include "paddle/fluid/platform/port.h" +namespace paddle { +namespace framework { +namespace ir { +class Graph; +} // namespace ir +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace analysis { diff --git a/paddle/fluid/inference/api/analysis_config.cc b/paddle/fluid/inference/api/analysis_config.cc index 2184574aa1fe3c66728b41f221c1b0bf5fd464e7..4abe293c930e23d4896adb3af25ad0532d95c12c 100644 --- a/paddle/fluid/inference/api/analysis_config.cc +++ b/paddle/fluid/inference/api/analysis_config.cc @@ -12,14 +12,14 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "paddle/fluid/framework/lod_tensor.h" -#include "paddle/fluid/framework/scope.h" #include "paddle/fluid/inference/api/paddle_analysis_config.h" #include "paddle/fluid/inference/api/paddle_pass_builder.h" #include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/gpu_info.h" namespace paddle { +struct MkldnnQuantizerConfig; + extern const std::vector kTRTSubgraphPasses; extern const std::vector kLiteSubgraphPasses; diff --git a/paddle/fluid/inference/api/analysis_predictor.cc b/paddle/fluid/inference/api/analysis_predictor.cc index 42e62011f84c18b875a3fa48b95a05f152fb5791..6c68b385bcbc04844309c581bf3afd848fe4d1aa 100644 --- a/paddle/fluid/inference/api/analysis_predictor.cc +++ b/paddle/fluid/inference/api/analysis_predictor.cc @@ -245,7 +245,18 @@ bool AnalysisPredictor::PrepareExecutor() { void AnalysisPredictor::MkldnnPreSet(const std::vector &inputs) { #ifdef PADDLE_WITH_MKLDNN - VLOG(2) << "AnalysisPredictor::Run get_cur_mkldnn_session_id=" + std::vector> inputs_shape; + for (size_t i = 0; i < inputs.size(); ++i) { + inputs_shape.emplace_back(inputs[i].shape); + } + MkldnnPreSet(inputs_shape); +#endif +} + +void AnalysisPredictor::MkldnnPreSet( + const std::vector> &inputs_shape) { +#ifdef PADDLE_WITH_MKLDNN + VLOG(2) << "AnalysisPredictor::ZeroCopyRun get_cur_mkldnn_session_id=" << platform::MKLDNNDeviceContext::tls().get_cur_mkldnn_session_id(); // In cache clearing mode. if (config_.mkldnn_cache_capacity_ > 0) { @@ -257,9 +268,9 @@ void AnalysisPredictor::MkldnnPreSet(const std::vector &inputs) { config_.mkldnn_cache_capacity_); // Set current_input_shape for caching dynamic shape. std::stringstream ss; - for (size_t i = 0; i < inputs.size(); ++i) { - for (size_t j = 0; j < inputs[i].shape.size(); ++j) { - ss << inputs[i].shape[j] << "-"; + for (size_t i = 0; i < inputs_shape.size(); ++i) { + for (size_t j = 0; j < inputs_shape[i].size(); ++j) { + ss << inputs_shape[i][j] << "-"; } } VLOG(2) << "Set input shape=" << ss.str(); @@ -742,6 +753,18 @@ std::unique_ptr AnalysisPredictor::GetOutputTensor( bool AnalysisPredictor::ZeroCopyRun() { paddle::platform::SetNumThreads(config_.cpu_math_library_num_threads()); +#ifdef PADDLE_WITH_MKLDNN + if (config_.use_mkldnn_) { + std::vector> shape_vector; + auto names = GetInputNames(); + for (size_t i = 0; i < names.size(); ++i) { + auto in_tensor = GetInputTensor(names[i]); + shape_vector.emplace_back(in_tensor->shape()); + } + MkldnnPreSet(shape_vector); + } +#endif + executor_->Run(); // Fix TensorArray reuse not cleaned bug. tensor_array_batch_cleaner_.CollectTensorArrays(sub_scope_); @@ -750,6 +773,9 @@ bool AnalysisPredictor::ZeroCopyRun() { // recover the cpu_math_library_num_threads to 1, in order to avoid thread // conflict when integrating it into deployment service. paddle::platform::SetNumThreads(1); +#ifdef PADDLE_WITH_MKLDNN + if (config_.use_mkldnn_) MkldnnPostReset(); +#endif #if defined(PADDLE_WITH_MKLML) // Frees unused memory allocated by the Intel® MKL Memory Allocator to // avoid memory leak. See: diff --git a/paddle/fluid/inference/api/analysis_predictor.h b/paddle/fluid/inference/api/analysis_predictor.h index 365f86c21105a7f1ffb7c300e0ab38c6aaa230fc..c4a7173b0104b767193e7d7eee3b10f272d396a2 100644 --- a/paddle/fluid/inference/api/analysis_predictor.h +++ b/paddle/fluid/inference/api/analysis_predictor.h @@ -317,6 +317,17 @@ class AnalysisPredictor : public PaddlePredictor { /// \param[in] inputs tensors /// void MkldnnPreSet(const std::vector &inputs); + + /// + /// \brief PreSet for Mkldnn multi-thread and dynamic shape input. + /// + /// Used in AnalysisPredictor::Run(), do not support + /// AnalysisPredictor::ZeroCopyRun() now. + /// + /// \param[in] inputs tensor shape + /// + void MkldnnPreSet(const std::vector> &inputs_shape); + /// /// \brief PostReset for Mkldnn multi-thread and dynamic shape input. /// diff --git a/paddle/fluid/inference/api/api_impl.h b/paddle/fluid/inference/api/api_impl.h index 96b94777304382a9d4be115a84f80ead69249863..be771ac48fc155c4e53dfcd46e8dd707ad9593bd 100644 --- a/paddle/fluid/inference/api/api_impl.h +++ b/paddle/fluid/inference/api/api_impl.h @@ -19,18 +19,26 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/lod_tensor_array.h" #include "paddle/fluid/framework/naive_executor.h" #include "paddle/fluid/inference/api/details/reset_tensor_array.h" +#include "paddle/fluid/inference/api/paddle_api.h" #include "paddle/fluid/inference/api/paddle_inference_api.h" #include "paddle/fluid/inference/io.h" #include "paddle/fluid/platform/init.h" +#include "paddle/fluid/platform/place.h" #include "paddle/fluid/platform/profiler.h" namespace paddle { +namespace framework { +class LoDTensor; +class Scope; +} // namespace framework + class NativePaddlePredictor : public PaddlePredictor { public: explicit NativePaddlePredictor(const NativeConfig &config) diff --git a/paddle/fluid/inference/api/demo_ci/run.sh b/paddle/fluid/inference/api/demo_ci/run.sh index a3e7bec398af7e193a75395ad40175336f5f7503..6d283ca56cb652515b5ade923ea85e38142bf08c 100755 --- a/paddle/fluid/inference/api/demo_ci/run.sh +++ b/paddle/fluid/inference/api/demo_ci/run.sh @@ -68,11 +68,6 @@ rm -rf * for WITH_STATIC_LIB in ON OFF; do if [ $(echo `uname` | grep "Win") != "" ]; then - # TODO(xingzhaolong, jiweibo): remove this if windows GPU library is ready. - if [ $TEST_GPU_CPU == ON] && [ $WITH_STATIC_LIB ==ON ]; then - return 0 - fi - # -----simple_on_word2vec on windows----- cmake .. -G "Visual Studio 14 2015" -A x64 -DPADDLE_LIB=${inference_install_dir} \ -DWITH_MKL=$TURN_ON_MKL \ diff --git a/paddle/fluid/inference/api/details/reset_tensor_array.cc b/paddle/fluid/inference/api/details/reset_tensor_array.cc index 03c2aa3fb8094ce2996f513b90589de0ef903ae8..ee5c10b7bf6753b3b6983ce9c96c5e1205a0a1a3 100644 --- a/paddle/fluid/inference/api/details/reset_tensor_array.cc +++ b/paddle/fluid/inference/api/details/reset_tensor_array.cc @@ -14,6 +14,12 @@ #include "paddle/fluid/inference/api/details/reset_tensor_array.h" +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +} // namespace paddle + namespace paddle { namespace details { diff --git a/paddle/fluid/inference/api/details/reset_tensor_array.h b/paddle/fluid/inference/api/details/reset_tensor_array.h index 213c6891d0e2320689c8c69266d40611f295edc8..be5fe1d64f9e7fbba207878c9ca6740109a41b7c 100644 --- a/paddle/fluid/inference/api/details/reset_tensor_array.h +++ b/paddle/fluid/inference/api/details/reset_tensor_array.h @@ -16,10 +16,18 @@ #include #include + #include "paddle/fluid/framework/lod_tensor_array.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/variable.h" +namespace paddle { +namespace framework { +class LoDTensor; +class Scope; +} // namespace framework +} // namespace paddle + namespace paddle { namespace details { diff --git a/paddle/fluid/inference/api/helper.h b/paddle/fluid/inference/api/helper.h index 014985661fd927debb48c699a157c0e05265842c..061b83e1d1e4a5180b281c672cf81f6e6a0c51bd 100644 --- a/paddle/fluid/inference/api/helper.h +++ b/paddle/fluid/inference/api/helper.h @@ -27,6 +27,7 @@ #include #include #include + #include "paddle/fluid/framework/data_type.h" #include "paddle/fluid/inference/api/paddle_inference_api.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/inference/api/mkldnn_quantizer_config.cc b/paddle/fluid/inference/api/mkldnn_quantizer_config.cc index 76cf1661f305443592c345e879f2d4514dc914d9..30c6c21ec87f36cdfe0f4ef7950236763c13191a 100644 --- a/paddle/fluid/inference/api/mkldnn_quantizer_config.cc +++ b/paddle/fluid/inference/api/mkldnn_quantizer_config.cc @@ -12,6 +12,8 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include + #include "paddle/fluid/inference/api/paddle_mkldnn_quantizer_config.h" namespace paddle { diff --git a/paddle/fluid/inference/api/paddle_pass_builder.h b/paddle/fluid/inference/api/paddle_pass_builder.h index 9073253520466a3711089bc7b7da04a9191e0a42..b10c290b226a7da8c2b55097dae5d6ffe34fc180 100644 --- a/paddle/fluid/inference/api/paddle_pass_builder.h +++ b/paddle/fluid/inference/api/paddle_pass_builder.h @@ -17,6 +17,7 @@ #include #include #include + #include "paddle_infer_declare.h" // NOLINT /// diff --git a/paddle/fluid/inference/tensorrt/convert/activation_op.cc b/paddle/fluid/inference/tensorrt/convert/activation_op.cc index 1a428e205cb0773697855c382d917778c41be205..57aeee99ba2bf80eb21773b24b47c23f1911ed53 100644 --- a/paddle/fluid/inference/tensorrt/convert/activation_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/activation_op.cc @@ -12,8 +12,27 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include "paddle/fluid/framework/op_registry.h" +#include + +#include "glog/logging.h" +#include "paddle/fluid/framework/op_desc.h" #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" +#include "paddle/fluid/inference/tensorrt/engine.h" +#include "paddle/fluid/inference/tensorrt/helper.h" +#include "paddle/fluid/platform/enforce.h" + +namespace nvinfer1 { +class IActivationLayer; +class ITensor; +} // namespace nvinfer1 +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle namespace paddle { namespace inference { diff --git a/paddle/fluid/inference/tensorrt/convert/batch_norm_op.cc b/paddle/fluid/inference/tensorrt/convert/batch_norm_op.cc index f67370b33828b77fec166017331c550698eaa658..2f4f9320607e3d77b7b2aaa31dca7e64c76d73a7 100644 --- a/paddle/fluid/inference/tensorrt/convert/batch_norm_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/batch_norm_op.cc @@ -12,9 +12,20 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" +namespace nvinfer1 { +class IScaleLayer; +} // namespace nvinfer1 +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/concat_op.cc b/paddle/fluid/inference/tensorrt/convert/concat_op.cc index 5d63aa2ace86cb89917126f3a6fef9d0e9839e8c..5ecf19233887754c1a38c9c74c4b75d345609f67 100644 --- a/paddle/fluid/inference/tensorrt/convert/concat_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/concat_op.cc @@ -14,6 +14,15 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/conv2d_op.cc b/paddle/fluid/inference/tensorrt/convert/conv2d_op.cc index aa03bc44bd629513d96cda541c0b7162629bfdc8..f582d7e07055bd2083bf375b89ac98bee4990711 100644 --- a/paddle/fluid/inference/tensorrt/convert/conv2d_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/conv2d_op.cc @@ -14,6 +14,15 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/dropout_op.cc b/paddle/fluid/inference/tensorrt/convert/dropout_op.cc index 0541d8917057c3a96ea3b2ffbb0bec283e00f683..d11dbc16e87d25e86abcf5b8425cf7036550b6e4 100644 --- a/paddle/fluid/inference/tensorrt/convert/dropout_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/dropout_op.cc @@ -14,6 +14,15 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/emb_eltwise_layernorm.cc b/paddle/fluid/inference/tensorrt/convert/emb_eltwise_layernorm.cc index 9fff558c583596215c191a31e95b4e9b2aad058b..b846b3033f6742a20cc42529db8f9eb302b7a71f 100644 --- a/paddle/fluid/inference/tensorrt/convert/emb_eltwise_layernorm.cc +++ b/paddle/fluid/inference/tensorrt/convert/emb_eltwise_layernorm.cc @@ -13,6 +13,15 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/helper.h" #include "paddle/fluid/inference/tensorrt/plugin/emb_eltwise_layernorm_plugin.h" +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/fc_op.cc b/paddle/fluid/inference/tensorrt/convert/fc_op.cc index 0dccd3cc6390af736aa4d205a12577fd9ee14f11..cd16ed7396532cb987263bc8a9c510e516dc7bc1 100644 --- a/paddle/fluid/inference/tensorrt/convert/fc_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/fc_op.cc @@ -14,6 +14,15 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/gelu_op.cc b/paddle/fluid/inference/tensorrt/convert/gelu_op.cc index 7927b6cd1bb559b1c4ce81d2846942a0db31e5fc..aad822b33546e68d67912ac9f9f2581cd2f8e5e8 100644 --- a/paddle/fluid/inference/tensorrt/convert/gelu_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/gelu_op.cc @@ -15,6 +15,18 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" #include "paddle/fluid/inference/tensorrt/plugin/gelu_op_plugin.h" +namespace nvinfer1 { +class ILayer; +} // namespace nvinfer1 +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/hard_sigmoid_op.cc b/paddle/fluid/inference/tensorrt/convert/hard_sigmoid_op.cc index 3b6e464a117d3eedb4848dcaaf5c06fdb453fac1..f2c1bafb4ae781ea340cc84f4465733948c35ded 100644 --- a/paddle/fluid/inference/tensorrt/convert/hard_sigmoid_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/hard_sigmoid_op.cc @@ -14,6 +14,15 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/hard_swish_op.cc b/paddle/fluid/inference/tensorrt/convert/hard_swish_op.cc index 39820068ca848c0fc758290b031867447b113795..967f79a1643a59df38721b8f7d9158e56391f2d4 100644 --- a/paddle/fluid/inference/tensorrt/convert/hard_swish_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/hard_swish_op.cc @@ -15,6 +15,18 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" #include "paddle/fluid/inference/tensorrt/plugin/hard_swish_op_plugin.h" +namespace nvinfer1 { +class ILayer; +} // namespace nvinfer1 +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/instance_norm_op.cc b/paddle/fluid/inference/tensorrt/convert/instance_norm_op.cc index 8a0b50f4744c456647688c6d6b0533518cec0bf4..d746c51c5c5706eea14f371eaa74f0e76adfed34 100644 --- a/paddle/fluid/inference/tensorrt/convert/instance_norm_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/instance_norm_op.cc @@ -15,6 +15,18 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" #include "paddle/fluid/inference/tensorrt/plugin/instance_norm_op_plugin.h" +namespace nvinfer1 { +class IPluginLayer; +} // namespace nvinfer1 +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/leaky_relu_op.cc b/paddle/fluid/inference/tensorrt/convert/leaky_relu_op.cc index 29826909c3ce34e8ac1d780352e412a776feb1d6..e348de9877f463e22b317c658d60f5723942afd1 100644 --- a/paddle/fluid/inference/tensorrt/convert/leaky_relu_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/leaky_relu_op.cc @@ -14,6 +14,18 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" +namespace nvinfer1 { +class ILayer; +} // namespace nvinfer1 +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/mul_op.cc b/paddle/fluid/inference/tensorrt/convert/mul_op.cc index 5b6aaad49833cedbd8d1ee0ec5d24c7f983190e6..c99528b207b6c02675b213977fb5f161cef21be5 100644 --- a/paddle/fluid/inference/tensorrt/convert/mul_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/mul_op.cc @@ -14,6 +14,15 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/pad_op.cc b/paddle/fluid/inference/tensorrt/convert/pad_op.cc index dd594404d3316ada6e20624c074368f241ca5cdd..7ddedf969fd1c16b20ef42e97835f04eb819dcc0 100644 --- a/paddle/fluid/inference/tensorrt/convert/pad_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/pad_op.cc @@ -14,6 +14,15 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/pool2d_op.cc b/paddle/fluid/inference/tensorrt/convert/pool2d_op.cc index 864e440920e3b49feee7c7e9a839a15f3a961f9c..c031630f36d789bb205c23ae7a899089761f5391 100644 --- a/paddle/fluid/inference/tensorrt/convert/pool2d_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/pool2d_op.cc @@ -15,6 +15,15 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" #include "paddle/fluid/inference/tensorrt/plugin/pool_op_plugin.h" +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/scale_op.cc b/paddle/fluid/inference/tensorrt/convert/scale_op.cc index f9a1fe41ddc046aad8cc3a5397453b0f68c1a112..18c97890d72a51de412421b6ae48f382728ae8fc 100644 --- a/paddle/fluid/inference/tensorrt/convert/scale_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/scale_op.cc @@ -14,6 +14,15 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/shuffle_channel_op.cc b/paddle/fluid/inference/tensorrt/convert/shuffle_channel_op.cc index 326915dfff528db8a373e04dc4dde26e37766fee..7090e298ddc3de453fe9177a841ca9d605f15094 100644 --- a/paddle/fluid/inference/tensorrt/convert/shuffle_channel_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/shuffle_channel_op.cc @@ -14,6 +14,15 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/softmax_op.cc b/paddle/fluid/inference/tensorrt/convert/softmax_op.cc index 9f4a048961f8d285f9280161e3ea3e3630b63556..0388154427e3a63d03d3c07aaadbc360454a6001 100644 --- a/paddle/fluid/inference/tensorrt/convert/softmax_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/softmax_op.cc @@ -14,6 +14,15 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/convert/swish_op.cc b/paddle/fluid/inference/tensorrt/convert/swish_op.cc index e220d80f0d79da5eab98aa7a18a5093f9f4a55c4..ab82a6578fb4dd367628808d894e54f6741a73d1 100644 --- a/paddle/fluid/inference/tensorrt/convert/swish_op.cc +++ b/paddle/fluid/inference/tensorrt/convert/swish_op.cc @@ -15,6 +15,18 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/convert/op_converter.h" #include "paddle/fluid/inference/tensorrt/plugin/swish_op_plugin.h" +namespace nvinfer1 { +class ILayer; +} // namespace nvinfer1 +namespace paddle { +namespace framework { +class Scope; +namespace proto { +class OpDesc; +} // namespace proto +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/engine.cc b/paddle/fluid/inference/tensorrt/engine.cc index 754979f77acd7a3b4818cdf16ef9c525bf1d82ea..1f7ea7ea04404712a29ef486004601f63510ea74 100644 --- a/paddle/fluid/inference/tensorrt/engine.cc +++ b/paddle/fluid/inference/tensorrt/engine.cc @@ -15,10 +15,9 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/engine.h" #include -#include #include #include -#include "paddle/fluid/inference/analysis/helper.h" + #include "paddle/fluid/inference/tensorrt/helper.h" #include "paddle/fluid/platform/enforce.h" @@ -26,6 +25,10 @@ namespace paddle { namespace inference { namespace tensorrt { +namespace plugin { +class PluginTensorRT; +} // namespace plugin + int TensorRTEngine::runtime_batch_ = 1; void TensorRTEngine::InitNetwork() { diff --git a/paddle/fluid/inference/tensorrt/engine.h b/paddle/fluid/inference/tensorrt/engine.h index a85ed483c1d12c3f2eecc5ed4bcb99937397a765..71625210054b36938f1da942066e5e346ef2beb5 100644 --- a/paddle/fluid/inference/tensorrt/engine.h +++ b/paddle/fluid/inference/tensorrt/engine.h @@ -23,6 +23,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/framework/tensor_util.h" #include "paddle/fluid/inference/api/paddle_analysis_config.h" @@ -33,10 +34,20 @@ limitations under the License. */ #include "paddle/fluid/inference/tensorrt/trt_int8_calibrator.h" #include "paddle/fluid/inference/utils/singleton.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { +namespace plugin { +class PluginTensorRT; +} // namespace plugin + using FluidDT = framework::proto::VarType_Type; using TRT_DT = nvinfer1::DataType; @@ -94,6 +105,7 @@ nvinfer1::Dims Vec2TRT_Dims(const std::vector& shape, std::string input, } // NOLINT class TRTInt8Calibrator; + /* * TensorRT Engine. * diff --git a/paddle/fluid/inference/tensorrt/op_teller.cc b/paddle/fluid/inference/tensorrt/op_teller.cc index 31128ba8c5d42acac0dff321adbc40dbb0ce0c19..23aacedd693b4d7ea0622374d83c199d964a25e4 100644 --- a/paddle/fluid/inference/tensorrt/op_teller.cc +++ b/paddle/fluid/inference/tensorrt/op_teller.cc @@ -14,6 +14,12 @@ #include "paddle/fluid/inference/tensorrt/op_teller.h" +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/op_teller.h b/paddle/fluid/inference/tensorrt/op_teller.h index 76784c7445e841952ea34a763bbdd5a679a366cc..9113525a5c94fda633f08188687e822822bb7bce 100644 --- a/paddle/fluid/inference/tensorrt/op_teller.h +++ b/paddle/fluid/inference/tensorrt/op_teller.h @@ -17,9 +17,16 @@ #include #include #include + #include "paddle/fluid/framework/op_desc.h" #include "paddle/fluid/inference/tensorrt/engine.h" +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +} // namespace paddle + namespace paddle { namespace inference { namespace tensorrt { diff --git a/paddle/fluid/inference/tensorrt/plugin/trt_plugin_factory.h b/paddle/fluid/inference/tensorrt/plugin/trt_plugin_factory.h index ed825801fc4b64e3c220a0d357dc7e5c5bde9c90..076dfbcf8f095ff15a265239c7b267db952b14be 100644 --- a/paddle/fluid/inference/tensorrt/plugin/trt_plugin_factory.h +++ b/paddle/fluid/inference/tensorrt/plugin/trt_plugin_factory.h @@ -26,6 +26,7 @@ #include "paddle/fluid/inference/tensorrt/plugin/trt_plugin_utils.h" #include "paddle/fluid/inference/utils/singleton.h" #include "paddle/fluid/platform/enforce.h" +#include "paddle/fluid/platform/variant.h" namespace paddle { namespace inference { diff --git a/paddle/fluid/inference/tensorrt/test_engine.cc b/paddle/fluid/inference/tensorrt/test_engine.cc index 72962c733ecf6a7bc6871fd3a5c65d6156b084d4..7c763858bb2101543af1dce0f3b81e964257a696 100644 --- a/paddle/fluid/inference/tensorrt/test_engine.cc +++ b/paddle/fluid/inference/tensorrt/test_engine.cc @@ -12,13 +12,10 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include -#include #include #include #include "paddle/fluid/framework/tensor.h" -#include "paddle/fluid/framework/tensor_util.h" #include "paddle/fluid/inference/tensorrt/engine.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/inference/tensorrt/trt_int8_calibrator.h b/paddle/fluid/inference/tensorrt/trt_int8_calibrator.h index 5815bc9a1464293e0a56f05e34183580eac96cea..b4b7ee50dc3511cef1ef2e5dbef9251f7ea7fd67 100644 --- a/paddle/fluid/inference/tensorrt/trt_int8_calibrator.h +++ b/paddle/fluid/inference/tensorrt/trt_int8_calibrator.h @@ -23,6 +23,7 @@ #include #include #include + #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/inference/tensorrt/engine.h" #include "paddle/fluid/platform/place.h" diff --git a/paddle/fluid/inference/tests/api/CMakeLists.txt b/paddle/fluid/inference/tests/api/CMakeLists.txt index 146d5932577fb7f4e2e33f6d98c51756ffd02073..5d6970fc4e3856a1945dfcc407b2d16b5032d3df 100644 --- a/paddle/fluid/inference/tests/api/CMakeLists.txt +++ b/paddle/fluid/inference/tests/api/CMakeLists.txt @@ -132,9 +132,17 @@ if(NOT APPLE AND WITH_MKLML) # seq_pool1 set(SEQ_POOL1_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/seq_pool") download_model_and_data(${SEQ_POOL1_INSTALL_DIR} "seq_pool1_model_.tar.gz" "seq_pool1_data.txt.tar.gz") - inference_analysis_api_test(test_analyzer_seq_pool1 ${SEQ_POOL1_INSTALL_DIR} analyzer_seq_pool1_tester.cc) + inference_analysis_api_test(test_analyzer_seq_pool1_compare_determine ${SEQ_POOL1_INSTALL_DIR} analyzer_seq_pool1_compare_determine_tester.cc) + inference_analysis_api_test(test_analyzer_seq_pool1 ${SEQ_POOL1_INSTALL_DIR} analyzer_seq_pool1_compare_tester.cc) + inference_analysis_api_test(test_analyzer_seq_pool1_fuse_compare_zero_copy ${SEQ_POOL1_INSTALL_DIR} analyzer_seq_pool1_fuse_compare_zero_copy_tester.cc) + inference_analysis_api_test(test_analyzer_seq_pool1_fuse_statis ${SEQ_POOL1_INSTALL_DIR} analyzer_seq_pool1_fuse_statis_tester.cc) + inference_analysis_api_test(test_analyzer_seq_pool1_profile ${SEQ_POOL1_INSTALL_DIR} analyzer_seq_pool1_profile_tester.cc) if(NOT WIN32) - set_tests_properties(test_analyzer_seq_pool1 PROPERTIES TIMEOUT 150) + set_tests_properties(test_analyzer_seq_pool1_compare_determine PROPERTIES TIMEOUT 120) + set_tests_properties(test_analyzer_seq_pool1 PROPERTIES TIMEOUT 120) + set_tests_properties(test_analyzer_seq_pool1_fuse_compare_zero_copy PROPERTIES TIMEOUT 120) + set_tests_properties(test_analyzer_seq_pool1_fuse_statis PROPERTIES TIMEOUT 120) + set_tests_properties(test_analyzer_seq_pool1_profile PROPERTIES TIMEOUT 120) endif() else() # TODO: fix this test on MACOS and OPENBLAS, the reason is that @@ -198,6 +206,9 @@ inference_analysis_test(test_analyzer_ernie_large SRCS analyzer_ernie_tester.cc if(NOT WIN32 AND NOT APPLE) set_tests_properties(test_analyzer_ernie_large PROPERTIES TIMEOUT 150 LABELS "RUN_TYPE=NIGHTLY") endif() +if (WIN32) + set_tests_properties(test_analyzer_ernie_large PROPERTIES TIMEOUT 200) +endif() # text_classification set(TEXT_CLASSIFICATION_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/text_classification") @@ -212,7 +223,15 @@ inference_analysis_api_test(test_analyzer_seq_conv1 ${SEQ_CONV1_INSTALL_DIR} ana # transformer, the dataset only works on batch_size=8 now set(TRANSFORMER_INSTALL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/transformer") download_model_and_data(${TRANSFORMER_INSTALL_DIR} "temp/transformer_model.tar.gz" "temp/transformer_data.txt.tar.gz") -inference_analysis_test(test_analyzer_transformer SRCS analyzer_transformer_tester.cc +inference_analysis_test(test_analyzer_transformer SRCS analyzer_transformer_compare_tester.cc + EXTRA_DEPS ${INFERENCE_EXTRA_DEPS} + ARGS --infer_model=${TRANSFORMER_INSTALL_DIR}/model --infer_data=${TRANSFORMER_INSTALL_DIR}/data.txt --batch_size=8 + --cpu_num_threads=${CPU_NUM_THREADS_ON_CI}) +inference_analysis_test(test_analyzer_transformer_fuse SRCS analyzer_transformer_fuse_tester.cc + EXTRA_DEPS ${INFERENCE_EXTRA_DEPS} + ARGS --infer_model=${TRANSFORMER_INSTALL_DIR}/model --infer_data=${TRANSFORMER_INSTALL_DIR}/data.txt --batch_size=8 + --cpu_num_threads=${CPU_NUM_THREADS_ON_CI}) +inference_analysis_test(test_analyzer_transformer_profile SRCS analyzer_transformer_profile_tester.cc EXTRA_DEPS ${INFERENCE_EXTRA_DEPS} ARGS --infer_model=${TRANSFORMER_INSTALL_DIR}/model --infer_data=${TRANSFORMER_INSTALL_DIR}/data.txt --batch_size=8 --cpu_num_threads=${CPU_NUM_THREADS_ON_CI}) @@ -258,6 +277,10 @@ set(RESNET50_MODEL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/resnet50") download_data(${RESNET50_MODEL_DIR} "resnet50_model.tar.gz") inference_analysis_api_test_with_fake_data_run(test_analyzer_resnet50 ${IMG_CLASS_TEST_APP} ${RESNET50_MODEL_DIR} true) +if (WIN32) + set_tests_properties(test_analyzer_resnet50 PROPERTIES TIMEOUT 200) +endif() + # mobilenet with depthwise_conv op set(MOBILENET_MODEL_DIR "${INFERENCE_DEMO_INSTALL_DIR}/mobilenet_depthwise_conv") diff --git a/paddle/fluid/inference/tests/api/analyzer_seq_pool1_compare_determine_tester.cc b/paddle/fluid/inference/tests/api/analyzer_seq_pool1_compare_determine_tester.cc new file mode 100644 index 0000000000000000000000000000000000000000..8f0778b83e52e93b1b30c06cf2bd950bdb62f3b8 --- /dev/null +++ b/paddle/fluid/inference/tests/api/analyzer_seq_pool1_compare_determine_tester.cc @@ -0,0 +1,40 @@ +/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + +http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include +#include +#include +#include "paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester_helper.h" +#include "paddle/fluid/inference/tests/api/tester_helper.h" + +namespace paddle { +namespace inference { +namespace analysis { +namespace seq_pool1_tester { + +// Compare Deterministic result +TEST(Analyzer_seq_pool1_compare_determine, compare_determine) { + AnalysisConfig cfg; + SetConfig(&cfg); + + std::vector> input_slots_all; + SetInput(&input_slots_all); + CompareDeterministic(reinterpret_cast(&cfg), + input_slots_all); +} + +} // namespace seq_pool1_tester +} // namespace analysis +} // namespace inference +} // namespace paddle diff --git a/paddle/fluid/inference/tests/api/analyzer_seq_pool1_compare_tester.cc b/paddle/fluid/inference/tests/api/analyzer_seq_pool1_compare_tester.cc new file mode 100644 index 0000000000000000000000000000000000000000..099ff1f31a759a694ff81aa98b961f935f0d2109 --- /dev/null +++ b/paddle/fluid/inference/tests/api/analyzer_seq_pool1_compare_tester.cc @@ -0,0 +1,39 @@ +/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + +http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include +#include +#include +#include "paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester_helper.h" +#include "paddle/fluid/inference/tests/api/tester_helper.h" + +namespace paddle { +namespace inference { +namespace analysis { +namespace seq_pool1_tester { + +TEST(Analyzer_seq_pool1_compare, compare) { + AnalysisConfig cfg; + SetConfig(&cfg); + + std::vector> input_slots_all; + SetInput(&input_slots_all); + CompareNativeAndAnalysis( + reinterpret_cast(&cfg), input_slots_all); +} + +} // namespace seq_pool1_tester +} // namespace analysis +} // namespace inference +} // namespace paddle diff --git a/paddle/fluid/inference/tests/api/analyzer_seq_pool1_fuse_compare_zero_copy_tester.cc b/paddle/fluid/inference/tests/api/analyzer_seq_pool1_fuse_compare_zero_copy_tester.cc new file mode 100644 index 0000000000000000000000000000000000000000..1fbcbf1a3f4275ae7973ca33f85d886c40bb1da4 --- /dev/null +++ b/paddle/fluid/inference/tests/api/analyzer_seq_pool1_fuse_compare_zero_copy_tester.cc @@ -0,0 +1,46 @@ +/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + +http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include +#include +#include +#include "paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester_helper.h" +#include "paddle/fluid/inference/tests/api/tester_helper.h" + +namespace paddle { +namespace inference { +namespace analysis { +namespace seq_pool1_tester { + +// Compare result of AnalysisConfig and AnalysisConfig + ZeroCopy +TEST(Analyzer_seq_pool1_compare_zero_copy, compare_zero_copy) { + AnalysisConfig cfg; + SetConfig(&cfg); + + AnalysisConfig cfg1; + SetConfig(&cfg1); + + std::vector> input_slots_all; + SetInput(&input_slots_all); + std::vector outputs_name; + outputs_name.emplace_back(out_var_name); + CompareAnalysisAndZeroCopy(reinterpret_cast(&cfg), + reinterpret_cast(&cfg1), + input_slots_all, outputs_name); +} + +} // namespace seq_pool1_tester +} // namespace analysis +} // namespace inference +} // namespace paddle diff --git a/paddle/fluid/inference/tests/api/analyzer_seq_pool1_fuse_statis_tester.cc b/paddle/fluid/inference/tests/api/analyzer_seq_pool1_fuse_statis_tester.cc new file mode 100644 index 0000000000000000000000000000000000000000..b8ccb8cee507b97dc50d0dcfa3677bc8ebb51b6c --- /dev/null +++ b/paddle/fluid/inference/tests/api/analyzer_seq_pool1_fuse_statis_tester.cc @@ -0,0 +1,48 @@ +/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + +http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include +#include +#include +#include "paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester_helper.h" +#include "paddle/fluid/inference/tests/api/tester_helper.h" + +namespace paddle { +namespace inference { +namespace analysis { +namespace seq_pool1_tester { + +// Check the fuse status +TEST(Analyzer_seq_pool1_fuse_statis, fuse_statis) { + AnalysisConfig cfg; + SetConfig(&cfg); + int num_ops; + auto predictor = CreatePaddlePredictor(cfg); + auto fuse_statis = GetFuseStatis(predictor.get(), &num_ops); + ASSERT_TRUE(fuse_statis.count("fc_fuse")); + ASSERT_TRUE(fuse_statis.count("seqpool_concat_fuse")); + ASSERT_TRUE(fuse_statis.count("squared_mat_sub_fuse")); + ASSERT_TRUE(fuse_statis.count("repeated_fc_relu_fuse")); + ASSERT_EQ(fuse_statis.at("fc_fuse"), 10); + EXPECT_EQ(fuse_statis.at("seqpool_concat_fuse"), 2); + EXPECT_EQ(fuse_statis.at("squared_mat_sub_fuse"), 2); + EXPECT_EQ(fuse_statis.at("repeated_fc_relu_fuse"), 2); + LOG(INFO) << "num_ops: " << num_ops; + EXPECT_EQ(num_ops, 171); +} + +} // namespace seq_pool1_tester +} // namespace analysis +} // namespace inference +} // namespace paddle diff --git a/paddle/fluid/inference/tests/api/analyzer_seq_pool1_profile_tester.cc b/paddle/fluid/inference/tests/api/analyzer_seq_pool1_profile_tester.cc new file mode 100644 index 0000000000000000000000000000000000000000..0ccd95f2a176de5b822eba98be7f53d779927e9f --- /dev/null +++ b/paddle/fluid/inference/tests/api/analyzer_seq_pool1_profile_tester.cc @@ -0,0 +1,42 @@ +/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + +http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include +#include +#include +#include "paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester_helper.h" +#include "paddle/fluid/inference/tests/api/tester_helper.h" + +namespace paddle { +namespace inference { +namespace analysis { +namespace seq_pool1_tester { + +void profile(bool use_mkldnn = false) { + AnalysisConfig cfg; + SetConfig(&cfg, use_mkldnn); + + std::vector> outputs; + std::vector> input_slots_all; + SetInput(&input_slots_all); + TestPrediction(reinterpret_cast(&cfg), + input_slots_all, &outputs, FLAGS_num_threads); +} + +TEST(Analyzer_seq_pool1_profile, profile) { profile(); } + +} // namespace seq_pool1_tester +} // namespace analysis +} // namespace inference +} // namespace paddle diff --git a/paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester.cc b/paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester_helper.h similarity index 70% rename from paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester.cc rename to paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester_helper.h index 9f1556cdb871aa3e5bbe613aa98299c162661c42..0dac11bc3452d3e3e88d86a76d439dd5b489c9c0 100644 --- a/paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester.cc +++ b/paddle/fluid/inference/tests/api/analyzer_seq_pool1_tester_helper.h @@ -11,15 +11,20 @@ distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ - +#pragma once #include #include #include +#include +#include +#include +#include #include "paddle/fluid/inference/tests/api/tester_helper.h" namespace paddle { namespace inference { namespace analysis { +namespace seq_pool1_tester { // diff: similarity_norm.tmp_0, for speed: fc_4.tmp_1 static const char out_var_name[] = "reduce_sum_0.tmp_0"; @@ -164,77 +169,7 @@ void SetConfig(AnalysisConfig *cfg, bool use_mkldnn = false) { cfg->pass_builder()->InsertPass(2, "seqpool_concat_fuse_pass"); } -void profile(bool use_mkldnn = false) { - AnalysisConfig cfg; - SetConfig(&cfg, use_mkldnn); - - std::vector> outputs; - std::vector> input_slots_all; - SetInput(&input_slots_all); - TestPrediction(reinterpret_cast(&cfg), - input_slots_all, &outputs, FLAGS_num_threads); -} - -TEST(Analyzer_seq_pool1, profile) { profile(); } - -// Compare result of NativeConfig and AnalysisConfig -TEST(Analyzer_seq_pool1, compare) { - AnalysisConfig cfg; - SetConfig(&cfg); - - std::vector> input_slots_all; - SetInput(&input_slots_all); - CompareNativeAndAnalysis( - reinterpret_cast(&cfg), input_slots_all); -} - -// Compare Deterministic result -TEST(Analyzer_seq_pool1, compare_determine) { - AnalysisConfig cfg; - SetConfig(&cfg); - - std::vector> input_slots_all; - SetInput(&input_slots_all); - CompareDeterministic(reinterpret_cast(&cfg), - input_slots_all); -} - -// Check the fuse status -TEST(Analyzer_seq_pool1, fuse_statis) { - AnalysisConfig cfg; - SetConfig(&cfg); - int num_ops; - auto predictor = CreatePaddlePredictor(cfg); - auto fuse_statis = GetFuseStatis(predictor.get(), &num_ops); - ASSERT_TRUE(fuse_statis.count("fc_fuse")); - ASSERT_TRUE(fuse_statis.count("seqpool_concat_fuse")); - ASSERT_TRUE(fuse_statis.count("squared_mat_sub_fuse")); - ASSERT_TRUE(fuse_statis.count("repeated_fc_relu_fuse")); - ASSERT_EQ(fuse_statis.at("fc_fuse"), 10); - EXPECT_EQ(fuse_statis.at("seqpool_concat_fuse"), 2); - EXPECT_EQ(fuse_statis.at("squared_mat_sub_fuse"), 2); - EXPECT_EQ(fuse_statis.at("repeated_fc_relu_fuse"), 2); - LOG(INFO) << "num_ops: " << num_ops; - EXPECT_EQ(num_ops, 171); -} - -// Compare result of AnalysisConfig and AnalysisConfig + ZeroCopy -TEST(Analyzer_seq_pool1, compare_zero_copy) { - AnalysisConfig cfg; - SetConfig(&cfg); - - AnalysisConfig cfg1; - SetConfig(&cfg1); - - std::vector> input_slots_all; - SetInput(&input_slots_all); - std::vector outputs_name; - outputs_name.emplace_back(out_var_name); - CompareAnalysisAndZeroCopy(reinterpret_cast(&cfg), - reinterpret_cast(&cfg1), - input_slots_all, outputs_name); -} - +} // namespace seq_pool1_tester } // namespace analysis } // namespace inference } // namespace paddle diff --git a/paddle/fluid/inference/tests/api/analyzer_transformer_compare_tester.cc b/paddle/fluid/inference/tests/api/analyzer_transformer_compare_tester.cc new file mode 100644 index 0000000000000000000000000000000000000000..f26ec57103b76500eab99ef11eadc694e2c9b192 --- /dev/null +++ b/paddle/fluid/inference/tests/api/analyzer_transformer_compare_tester.cc @@ -0,0 +1,44 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "paddle/fluid/inference/tests/api/analyzer_transformer_tester_helper.h" + +namespace paddle { +namespace inference { +namespace analysis { +namespace transformer_tester { + +void compare(bool use_mkldnn = false) { + AnalysisConfig cfg; + SetConfig(&cfg); + if (use_mkldnn) { + cfg.EnableMKLDNN(); + cfg.pass_builder()->AppendPass("fc_mkldnn_pass"); + } + + std::vector> input_slots_all; + SetInput(&input_slots_all); + CompareNativeAndAnalysis( + reinterpret_cast(&cfg), input_slots_all); +} + +TEST(Analyzer_Transformer, compare) { compare(); } +#ifdef PADDLE_WITH_MKLDNN +TEST(Analyzer_Transformer, compare_mkldnn) { compare(true /* use_mkldnn */); } +#endif + +} // namespace transformer_tester +} // namespace analysis +} // namespace inference +} // namespace paddle diff --git a/paddle/fluid/inference/tests/api/analyzer_transformer_fuse_tester.cc b/paddle/fluid/inference/tests/api/analyzer_transformer_fuse_tester.cc new file mode 100644 index 0000000000000000000000000000000000000000..4e5484c9ea01df81c9982743feefcf4a71f421a1 --- /dev/null +++ b/paddle/fluid/inference/tests/api/analyzer_transformer_fuse_tester.cc @@ -0,0 +1,36 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "paddle/fluid/inference/tests/api/analyzer_transformer_tester_helper.h" + +namespace paddle { +namespace inference { +namespace analysis { +namespace transformer_tester { + +// Check the fuse status +TEST(Analyzer_Transformer, fuse_statis) { + AnalysisConfig cfg; + SetConfig(&cfg); + + int num_ops; + auto predictor = CreatePaddlePredictor(cfg); + auto fuse_statis = GetFuseStatis( + static_cast(predictor.get()), &num_ops); +} + +} // namespace transformer_tester +} // namespace analysis +} // namespace inference +} // namespace paddle diff --git a/paddle/fluid/inference/tests/api/analyzer_transformer_profile_tester.cc b/paddle/fluid/inference/tests/api/analyzer_transformer_profile_tester.cc new file mode 100644 index 0000000000000000000000000000000000000000..caeba3277163b2a15183972fb07d315bd951ccde --- /dev/null +++ b/paddle/fluid/inference/tests/api/analyzer_transformer_profile_tester.cc @@ -0,0 +1,45 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "paddle/fluid/inference/tests/api/analyzer_transformer_tester_helper.h" + +namespace paddle { +namespace inference { +namespace analysis { +namespace transformer_tester { + +void profile(bool use_mkldnn = false) { + AnalysisConfig cfg; + SetConfig(&cfg); + std::vector> outputs; + if (use_mkldnn) { + cfg.EnableMKLDNN(); + cfg.pass_builder()->AppendPass("fc_mkldnn_pass"); + } + + std::vector> input_slots_all; + SetInput(&input_slots_all); + TestPrediction(reinterpret_cast(&cfg), + input_slots_all, &outputs, FLAGS_num_threads); +} + +TEST(Analyzer_Transformer, profile) { profile(); } +#ifdef PADDLE_WITH_MKLDNN +TEST(Analyzer_Transformer, profile_mkldnn) { profile(true); } +#endif + +} // namespace transformer_tester +} // namespace analysis +} // namespace inference +} // namespace paddle diff --git a/paddle/fluid/inference/tests/api/analyzer_transformer_tester.cc b/paddle/fluid/inference/tests/api/analyzer_transformer_tester_helper.h similarity index 82% rename from paddle/fluid/inference/tests/api/analyzer_transformer_tester.cc rename to paddle/fluid/inference/tests/api/analyzer_transformer_tester_helper.h index 9726109bf89ac0d5e1048f6cae0483248696f3e2..e43456ed8322e759e1e7f56c11621d696b8efb82 100644 --- a/paddle/fluid/inference/tests/api/analyzer_transformer_tester.cc +++ b/paddle/fluid/inference/tests/api/analyzer_transformer_tester_helper.h @@ -11,11 +11,16 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. - +#pragma once +#include +#include +#include #include "paddle/fluid/inference/tests/api/tester_helper.h" namespace paddle { namespace inference { +namespace analysis { +namespace transformer_tester { struct DataRecord { std::vector> src_word, src_pos, trg_word, init_idx; @@ -182,57 +187,7 @@ void SetInput(std::vector> *inputs) { } } -// Easy for profiling independently. -void profile(bool use_mkldnn = false) { - AnalysisConfig cfg; - SetConfig(&cfg); - std::vector> outputs; - if (use_mkldnn) { - cfg.EnableMKLDNN(); - cfg.pass_builder()->AppendPass("fc_mkldnn_pass"); - } - - std::vector> input_slots_all; - SetInput(&input_slots_all); - TestPrediction(reinterpret_cast(&cfg), - input_slots_all, &outputs, FLAGS_num_threads); -} - -TEST(Analyzer_Transformer, profile) { profile(); } -#ifdef PADDLE_WITH_MKLDNN -TEST(Analyzer_Transformer, profile_mkldnn) { profile(true); } -#endif - -// Check the fuse status -TEST(Analyzer_Transformer, fuse_statis) { - AnalysisConfig cfg; - SetConfig(&cfg); - - int num_ops; - auto predictor = CreatePaddlePredictor(cfg); - auto fuse_statis = GetFuseStatis( - static_cast(predictor.get()), &num_ops); -} - -// Compare result of NativeConfig and AnalysisConfig -void compare(bool use_mkldnn = false) { - AnalysisConfig cfg; - SetConfig(&cfg); - if (use_mkldnn) { - cfg.EnableMKLDNN(); - cfg.pass_builder()->AppendPass("fc_mkldnn_pass"); - } - - std::vector> input_slots_all; - SetInput(&input_slots_all); - CompareNativeAndAnalysis( - reinterpret_cast(&cfg), input_slots_all); -} - -TEST(Analyzer_Transformer, compare) { compare(); } -#ifdef PADDLE_WITH_MKLDNN -TEST(Analyzer_Transformer, compare_mkldnn) { compare(true /* use_mkldnn */); } -#endif - +} // namespace transformer_tester +} // namespace analysis } // namespace inference } // namespace paddle diff --git a/paddle/fluid/inference/utils/benchmark.cc b/paddle/fluid/inference/utils/benchmark.cc index 074a397e323b5bfa0d09cd6684d093556b1093f5..8c76a03d29861defecc3b41130edebef6b767746 100644 --- a/paddle/fluid/inference/utils/benchmark.cc +++ b/paddle/fluid/inference/utils/benchmark.cc @@ -13,7 +13,7 @@ // limitations under the License. #include "paddle/fluid/inference/utils/benchmark.h" -#include + #include "paddle/fluid/platform/enforce.h" namespace paddle { diff --git a/paddle/fluid/inference/utils/io_utils.h b/paddle/fluid/inference/utils/io_utils.h index 853aba168b524eb289d4f57645bcaee809acdd0b..de2c7b26d3382daba0a549fa71b73c2bbc6c6631 100644 --- a/paddle/fluid/inference/utils/io_utils.h +++ b/paddle/fluid/inference/utils/io_utils.h @@ -16,9 +16,14 @@ #include #include + #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/inference/api/paddle_api.h" +namespace paddle { +struct PaddleTensor; +} // namespace paddle + namespace paddle { namespace inference { diff --git a/paddle/fluid/memory/allocation/aligned_allocator.h b/paddle/fluid/memory/allocation/aligned_allocator.h index 71250766034753e17687c9529d9fe1c314b6b662..6fef5cae8d6af32a8b5b2eff0c74ab94410bd070 100644 --- a/paddle/fluid/memory/allocation/aligned_allocator.h +++ b/paddle/fluid/memory/allocation/aligned_allocator.h @@ -15,6 +15,7 @@ #pragma once #include #include + #include "paddle/fluid/memory/allocation/allocator.h" namespace paddle { diff --git a/paddle/fluid/memory/allocation/allocator.h b/paddle/fluid/memory/allocation/allocator.h index 379c8d00960947880e048c6990e7ba856ddc68dd..e54748a53679d1363246896a0982275c4ef09535 100644 --- a/paddle/fluid/memory/allocation/allocator.h +++ b/paddle/fluid/memory/allocation/allocator.h @@ -18,6 +18,7 @@ #include #include #include + #include "paddle/fluid/framework/inlined_vector.h" #include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/place.h" diff --git a/paddle/fluid/memory/allocation/allocator_facade_abs_flags_test.cc b/paddle/fluid/memory/allocation/allocator_facade_abs_flags_test.cc index 3e10be037bd317f3bca8b2d8519a40df97303bc7..0029991116200a64db84c57afcb0edb17065a098 100644 --- a/paddle/fluid/memory/allocation/allocator_facade_abs_flags_test.cc +++ b/paddle/fluid/memory/allocation/allocator_facade_abs_flags_test.cc @@ -12,10 +12,10 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "paddle/fluid/memory/allocation/allocator_facade.h" -#include #include +#include "paddle/fluid/memory/allocation/allocator_facade.h" + #ifdef PADDLE_WITH_CUDA DECLARE_double(fraction_of_gpu_memory_to_use); DECLARE_double(fraction_of_cuda_pinned_memory_to_use); diff --git a/paddle/fluid/memory/allocation/allocator_facade_frac_flags_test.cc b/paddle/fluid/memory/allocation/allocator_facade_frac_flags_test.cc index 3748805b1ceb9e392a767e8c08577c1f47bfe436..1e793d1617af38c3e69d5c5690b40524b031b3c7 100644 --- a/paddle/fluid/memory/allocation/allocator_facade_frac_flags_test.cc +++ b/paddle/fluid/memory/allocation/allocator_facade_frac_flags_test.cc @@ -12,10 +12,10 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include "paddle/fluid/memory/allocation/allocator_facade.h" -#include #include +#include "paddle/fluid/memory/allocation/allocator_facade.h" + #ifdef PADDLE_WITH_CUDA DECLARE_double(fraction_of_gpu_memory_to_use); DECLARE_double(fraction_of_cuda_pinned_memory_to_use); diff --git a/paddle/fluid/memory/allocation/allocator_strategy.cc b/paddle/fluid/memory/allocation/allocator_strategy.cc index e1c7b243becaa16531912c64c9f3d95e76cf5092..518b31e943048d51584dfa894fbf0aed96ee35f9 100644 --- a/paddle/fluid/memory/allocation/allocator_strategy.cc +++ b/paddle/fluid/memory/allocation/allocator_strategy.cc @@ -13,8 +13,8 @@ // limitations under the License. #include "paddle/fluid/memory/allocation/allocator_strategy.h" + #include "gflags/gflags.h" -#include "glog/logging.h" #include "paddle/fluid/platform/enforce.h" DECLARE_string(allocator_strategy); diff --git a/paddle/fluid/memory/allocation/auto_growth_best_fit_allocator.h b/paddle/fluid/memory/allocation/auto_growth_best_fit_allocator.h index 27257883d558e7b3a09f8aeb5264d093e7d5c480..cbc126264ac2c09ef2532bf21834a648c02473ec 100644 --- a/paddle/fluid/memory/allocation/auto_growth_best_fit_allocator.h +++ b/paddle/fluid/memory/allocation/auto_growth_best_fit_allocator.h @@ -19,6 +19,7 @@ #include #include // NOLINT #include + #include "paddle/fluid/memory/allocation/allocator.h" namespace paddle { diff --git a/paddle/fluid/memory/allocation/auto_growth_best_fit_allocator_test.cc b/paddle/fluid/memory/allocation/auto_growth_best_fit_allocator_test.cc index 8865bf0b0db27f6c23ecf486daa076126223daf6..685248a88f71d695095bd844dea06558e5cbcee6 100644 --- a/paddle/fluid/memory/allocation/auto_growth_best_fit_allocator_test.cc +++ b/paddle/fluid/memory/allocation/auto_growth_best_fit_allocator_test.cc @@ -13,8 +13,10 @@ // limitations under the License. #include "paddle/fluid/memory/allocation/auto_growth_best_fit_allocator.h" + #include #include + #include "gtest/gtest.h" DECLARE_bool(free_idle_chunk); diff --git a/paddle/fluid/memory/allocation/best_fit_allocator.cc b/paddle/fluid/memory/allocation/best_fit_allocator.cc index 957dac4d03e33b7e40d7781a033a77da3a814bdc..2b8d2164f68ad0b9ff6d000f8ddee74ddce6434d 100644 --- a/paddle/fluid/memory/allocation/best_fit_allocator.cc +++ b/paddle/fluid/memory/allocation/best_fit_allocator.cc @@ -13,11 +13,7 @@ // limitations under the License. #include "paddle/fluid/memory/allocation/best_fit_allocator.h" - -#include -#include -#include -#include +#include namespace paddle { namespace memory { diff --git a/paddle/fluid/memory/allocation/best_fit_allocator.h b/paddle/fluid/memory/allocation/best_fit_allocator.h index 64a552e4fd2af1f661e3174e5041ffc71f74fa2c..a6015417b1227b00a77373d4cc108253e44c10e1 100644 --- a/paddle/fluid/memory/allocation/best_fit_allocator.h +++ b/paddle/fluid/memory/allocation/best_fit_allocator.h @@ -16,8 +16,15 @@ #include #include #include + #include "paddle/fluid/memory/allocation/allocator.h" +namespace paddle { +namespace platform { +class Place; +} // namespace platform +} // namespace paddle + namespace paddle { namespace memory { namespace allocation { diff --git a/paddle/fluid/memory/allocation/buffered_allocator.cc b/paddle/fluid/memory/allocation/buffered_allocator.cc index 7eed81a712ad3505b5c0833370df8b603c7d3953..d463ad1f5ebb1f5e31008a716f40b99b55895496 100644 --- a/paddle/fluid/memory/allocation/buffered_allocator.cc +++ b/paddle/fluid/memory/allocation/buffered_allocator.cc @@ -13,9 +13,6 @@ // limitations under the License. #include "paddle/fluid/memory/allocation/buffered_allocator.h" - -#include -#include #include namespace paddle { diff --git a/paddle/fluid/memory/allocation/buffered_allocator.h b/paddle/fluid/memory/allocation/buffered_allocator.h index fd0996f7748ef407262dba7bca705af9b5fb9674..5e1733bd839de2c0e219a40c569e492b1aca1d56 100644 --- a/paddle/fluid/memory/allocation/buffered_allocator.h +++ b/paddle/fluid/memory/allocation/buffered_allocator.h @@ -18,6 +18,7 @@ #include #include #include + #include "paddle/fluid/memory/allocation/allocator.h" #include "paddle/fluid/platform/lock_guard_ptr.h" diff --git a/paddle/fluid/memory/allocation/cpu_allocator.cc b/paddle/fluid/memory/allocation/cpu_allocator.cc index b096fbc112c55a482e522ed27734232f18c73afa..407f0f25935bf1dde5159aab8c4e9954f6fb6ccb 100644 --- a/paddle/fluid/memory/allocation/cpu_allocator.cc +++ b/paddle/fluid/memory/allocation/cpu_allocator.cc @@ -16,8 +16,6 @@ #include -#include - namespace paddle { namespace memory { namespace allocation { diff --git a/paddle/fluid/memory/allocation/locked_allocator.h b/paddle/fluid/memory/allocation/locked_allocator.h index 4af77e6e057f54d15dcb0248ba6cf36f6f00c2f1..1b8418bc8494a270645935f13dd3c8ea62849ed2 100644 --- a/paddle/fluid/memory/allocation/locked_allocator.h +++ b/paddle/fluid/memory/allocation/locked_allocator.h @@ -15,6 +15,7 @@ #include #include // NOLINT #include // NOLINT + #include "paddle/fluid/memory/allocation/allocator.h" namespace paddle { diff --git a/paddle/fluid/memory/allocation/mmap_allocator.cc b/paddle/fluid/memory/allocation/mmap_allocator.cc index 0ef084bafd0c9f9edb9c290653fe5448771f3df2..77e8d9943d00f7badd24cdb8603d16094ba9e84b 100644 --- a/paddle/fluid/memory/allocation/mmap_allocator.cc +++ b/paddle/fluid/memory/allocation/mmap_allocator.cc @@ -19,13 +19,8 @@ #include #include #include -#include -#include -#include - #include #include -#include namespace paddle { namespace memory { diff --git a/paddle/fluid/memory/allocation/mmap_allocator_test.cc b/paddle/fluid/memory/allocation/mmap_allocator_test.cc index 5b66920be2a0dc988794cdd1156dc64fb201aa5d..bcb02e0479290c92ab064ae1a995758c1d079161 100644 --- a/paddle/fluid/memory/allocation/mmap_allocator_test.cc +++ b/paddle/fluid/memory/allocation/mmap_allocator_test.cc @@ -16,8 +16,6 @@ #include "paddle/fluid/memory/allocation/mmap_allocator.h" -#include - #include "gtest/gtest.h" namespace paddle { diff --git a/paddle/fluid/memory/allocation/naive_best_fit_allocator.cc b/paddle/fluid/memory/allocation/naive_best_fit_allocator.cc index 92e3933a072832fa42520e67f455d3dc90118518..c661c9f9c37509f6b55f6ce8b67b11752c68418a 100644 --- a/paddle/fluid/memory/allocation/naive_best_fit_allocator.cc +++ b/paddle/fluid/memory/allocation/naive_best_fit_allocator.cc @@ -127,11 +127,10 @@ void *Alloc(const platform::XPUPlace &place, size_t size) { "Baidu Kunlun Card is properly installed.", ret)); ret = xpu_malloc(reinterpret_cast(&p), size); - PADDLE_ENFORCE_EQ(ret, XPU_SUCCESS, - platform::errors::External( - "XPU API return wrong value[%d], please check whether " - "Baidu Kunlun Card is properly installed.", - ret)); + PADDLE_ENFORCE_EQ( + ret, XPU_SUCCESS, + platform::errors::External( + "XPU API return wrong value[%d], no enough memory", ret)); if (FLAGS_init_allocated_mem) { PADDLE_THROW(platform::errors::Unimplemented( "xpu memory FLAGS_init_allocated_mem is not implemented.")); diff --git a/paddle/fluid/memory/allocation/naive_best_fit_allocator.h b/paddle/fluid/memory/allocation/naive_best_fit_allocator.h index 913d583099c3f403a8262ff716fcd4c9ab930d22..4cf1bd6123e5fb3b99c60cc0a2750ef6295ab870 100644 --- a/paddle/fluid/memory/allocation/naive_best_fit_allocator.h +++ b/paddle/fluid/memory/allocation/naive_best_fit_allocator.h @@ -18,8 +18,10 @@ #include #include #include + #include "paddle/fluid/memory/allocation/allocator.h" #include "paddle/fluid/platform/place.h" + namespace paddle { namespace memory { namespace allocation { diff --git a/paddle/fluid/memory/allocation/pinned_allocator.cc b/paddle/fluid/memory/allocation/pinned_allocator.cc index 3ea2ecf3538892589dc2636f00c91619640eb798..42dd50af7293dc7f52add81eee7b6a98071bb072 100644 --- a/paddle/fluid/memory/allocation/pinned_allocator.cc +++ b/paddle/fluid/memory/allocation/pinned_allocator.cc @@ -14,9 +14,6 @@ #include "paddle/fluid/memory/allocation/pinned_allocator.h" -#include -#include - namespace paddle { namespace memory { namespace allocation { diff --git a/paddle/fluid/memory/allocation/retry_allocator_test.cc b/paddle/fluid/memory/allocation/retry_allocator_test.cc index 0e81f5f2238f755de27750b405e771146b3cbf7d..5d3e133f97d38b80ebcdcfa92dec7368463efb55 100644 --- a/paddle/fluid/memory/allocation/retry_allocator_test.cc +++ b/paddle/fluid/memory/allocation/retry_allocator_test.cc @@ -13,6 +13,7 @@ // limitations under the License. #include "paddle/fluid/memory/allocation/retry_allocator.h" + #include #include // NOLINT #include // NOLINT @@ -20,6 +21,7 @@ #include #include // NOLINT #include + #include "gtest/gtest.h" #include "paddle/fluid/memory/allocation/best_fit_allocator.h" #include "paddle/fluid/memory/allocation/cpu_allocator.h" @@ -45,7 +47,7 @@ TEST(RetryAllocator, RetryAllocator) { size_t thread_num = 4; size_t sleep_time = 40; - size_t extra_time = 10; + size_t extra_time = 20; // Reserve to perform more tests in the future std::vector> allocators; diff --git a/paddle/fluid/memory/allocation/thread_local_allocator.h b/paddle/fluid/memory/allocation/thread_local_allocator.h index bc07ad0c4dce3fccb3570d35b31e111b7253cd58..10ca4b828a4bb508ed91d15f2649c3d0d5e1da9a 100644 --- a/paddle/fluid/memory/allocation/thread_local_allocator.h +++ b/paddle/fluid/memory/allocation/thread_local_allocator.h @@ -16,6 +16,7 @@ #include #include + #include "paddle/fluid/memory/allocation/allocator.h" #include "paddle/fluid/memory/detail/buddy_allocator.h" #include "paddle/fluid/memory/detail/system_allocator.h" diff --git a/paddle/fluid/memory/detail/buddy_allocator.cc b/paddle/fluid/memory/detail/buddy_allocator.cc index faa87f1f01a8bb0188f41d904cf48176c2a9067d..6ac99744d79380803925f973c5b39262685e1ff0 100644 --- a/paddle/fluid/memory/detail/buddy_allocator.cc +++ b/paddle/fluid/memory/detail/buddy_allocator.cc @@ -13,10 +13,8 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/memory/detail/buddy_allocator.h" - #include #include - #include "glog/logging.h" #ifdef PADDLE_WITH_CUDA diff --git a/paddle/fluid/memory/detail/buddy_allocator_test.cc b/paddle/fluid/memory/detail/buddy_allocator_test.cc index 780126f57c52f97844aaac0c0b4b09ead9b14577..1722acd10aa38e33f3c11aa8eac7cb50dce9fed4 100644 --- a/paddle/fluid/memory/detail/buddy_allocator_test.cc +++ b/paddle/fluid/memory/detail/buddy_allocator_test.cc @@ -21,12 +21,9 @@ limitations under the License. */ #endif #include "gflags/gflags.h" #include "gtest/gtest.h" -#include "paddle/fluid/memory/detail/system_allocator.h" #include "paddle/fluid/platform/gpu_info.h" #ifdef PADDLE_WITH_CUDA -#include - #include #include diff --git a/paddle/fluid/memory/detail/system_allocator_test.cc b/paddle/fluid/memory/detail/system_allocator_test.cc index 34bb40d549dff1d711cd8924630cdf528f41ed76..ea4897494f72b96e85911e03b651af1b4eac3298 100644 --- a/paddle/fluid/memory/detail/system_allocator_test.cc +++ b/paddle/fluid/memory/detail/system_allocator_test.cc @@ -15,7 +15,6 @@ limitations under the License. */ #include "paddle/fluid/memory/detail/system_allocator.h" #include -#include #include "gflags/gflags.h" #include "gtest/gtest.h" diff --git a/paddle/fluid/memory/malloc.h b/paddle/fluid/memory/malloc.h index 9ba572acaca9eba2b913847c52e5a54e19d79bdf..73487795f752eab69e660154c2e35817b2c80368 100644 --- a/paddle/fluid/memory/malloc.h +++ b/paddle/fluid/memory/malloc.h @@ -15,8 +15,10 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/memory/allocation/allocator.h" #include "paddle/fluid/platform/place.h" + namespace paddle { namespace platform { diff --git a/paddle/fluid/operators/activation_cudnn_op.cu.cc b/paddle/fluid/operators/activation_cudnn_op.cu.cc index 33d8fb828f86e1f689ad4f67ad0033b45ce2671e..1903b9e30d80022c7351b155c1e0c149cf562a5b 100644 --- a/paddle/fluid/operators/activation_cudnn_op.cu.cc +++ b/paddle/fluid/operators/activation_cudnn_op.cu.cc @@ -12,13 +12,16 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include -#include -#include #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/operators/activation_op.h" #include "paddle/fluid/platform/cudnn_desc.h" +namespace paddle { +namespace platform { +struct CUDAPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { using framework::Tensor; diff --git a/paddle/fluid/operators/activation_op.cc b/paddle/fluid/operators/activation_op.cc index 5a3660cee85762f3d76129dfb694eeb6d87bb52c..a640a6c745ccb7e7cda0e47b17104ec990fce0dd 100644 --- a/paddle/fluid/operators/activation_op.cc +++ b/paddle/fluid/operators/activation_op.cc @@ -763,10 +763,28 @@ class ActivationOpDoubleGrad2 : public framework::OperatorWithKernel { } }; -// +// AbsGrad: dx=dy if x >=0 else -dy +// AbsDoubleGrad: ddy = ddx if x >=0 else -ddx +template +class AbsDoubleGradMaker : public ::paddle::framework::SingleGradOpMaker { + public: + using ::paddle::framework::SingleGradOpMaker::SingleGradOpMaker; + + protected: + void Apply(GradOpPtr op) const override { + op->SetType("abs_grad_grad"); + // input1: x + op->SetInput("X", this->Input("X")); + // input2: ddx + op->SetInput("DDX", this->OutputGrad(framework::GradVarName("X"))); + op->SetAttrMap(this->Attrs()); + // output: ddy + op->SetOutput("DDOut", this->InputGrad(framework::GradVarName("Out"))); + } +}; + // ReluGrad: dx = dy if y >= 0 else 0 // ReluGradGrad: ddy = ddx if y >= 0 else 0 -// template class ReluDoubleGradMaker : public ::paddle::framework::SingleGradOpMaker { public: @@ -873,6 +891,28 @@ class SquareDoubleGradMaker : public ::paddle::framework::SingleGradOpMaker { } }; +// log Grad: dx = dout / x +// log Grad Grad: ddout = ddx / x; dx = -(dout / x) * (ddx / x) +template +class LogDoubleGradMaker : public ::paddle::framework::SingleGradOpMaker { + public: + using ::paddle::framework::SingleGradOpMaker::SingleGradOpMaker; + + protected: + void Apply(GradOpPtr op) const override { + op->SetType("log_grad_grad"); + op->SetInput("X", this->Input("X")); + // X@GRAD@GRAD: ddx + op->SetInput("DDX", this->OutputGrad(framework::GradVarName("X"))); + op->SetInput("DOut", this->Input(framework::GradVarName("Out"))); + op->SetAttrMap(this->Attrs()); + // X@GRAD: dx + op->SetOutput("DX", this->InputGrad("X")); + // Out@GRAD@GRAD: ddy + op->SetOutput("DDOut", this->InputGrad(framework::GradVarName("Out"))); + } +}; + DECLARE_INPLACE_OP_INFERER(ActivationGradOpInplaceInferer, {framework::GradVarName("Out"), framework::GradVarName("X")}); @@ -1214,7 +1254,13 @@ REGISTER_OPERATOR( std::conditional>(), ops::ActFwdInplaceInferer, void>::type); REGISTER_OPERATOR(abs_grad, ops::ActivationOpGrad, - ops::ActivationGradOpInplaceInferer); + ops::ActivationGradOpInplaceInferer, + ops::AbsDoubleGradMaker, + ops::AbsDoubleGradMaker); +REGISTER_OPERATOR( + abs_grad_grad, + ops::ActivationOpDoubleGrad::FwdDeps()>, + ops::ActivationDoubleGradOpInplaceInferer); REGISTER_OP_CPU_KERNEL(abs, ops::ActivationKernel>, ops::ActivationGradKernel>); +REGISTER_OP_CPU_KERNEL( + abs_grad_grad, + ops::ActivationDoubleGradKernel>, + ops::ActivationDoubleGradKernel>, + ops::ActivationDoubleGradKernel>, + ops::ActivationDoubleGradKernel>, + ops::ActivationDoubleGradKernel>); +/* ========================================================================== */ + +/* ========================== Log register ==================================*/ +REGISTER_OPERATOR( + log, ops::ActivationOp, ops::LogOpMaker, ops::ActivationOpInferVarType, + ops::ActivationGradOpMaker::FwdDeps(), + paddle::framework::OpDesc>, + ops::ActivationGradOpMaker::FwdDeps(), + paddle::imperative::OpBase>, + ops::ActFwdInplaceInferer); +REGISTER_OPERATOR(log_grad, ops::ActivationOpGrad, + ops::ActivationGradOpInplaceInferer, + ops::LogDoubleGradMaker, + ops::LogDoubleGradMaker); + +REGISTER_OPERATOR( + log_grad_grad, + ops::ActivationOpDoubleGrad::FwdDeps()>, + ops::ActivationDoubleGradOpInplaceInferer); + +REGISTER_ACTIVATION_CPU_KERNEL(log, Log, LogFunctor, LogGradFunctor); + +REGISTER_OP_CPU_KERNEL( + log_grad_grad, ops::LogDoubleGradKernel>, + ops::LogDoubleGradKernel>, + ops::LogDoubleGradKernel>); /* ========================================================================== */ /* ========================== register checkpoint ===========================*/ diff --git a/paddle/fluid/operators/activation_op.cu b/paddle/fluid/operators/activation_op.cu index 48ec90471f0becf921e7e68eb8722544885aaa7a..839776ad58d0352cd9bdd59530951e4eea1120b3 100644 --- a/paddle/fluid/operators/activation_op.cu +++ b/paddle/fluid/operators/activation_op.cu @@ -160,7 +160,7 @@ REGISTER_OP_CUDA_KERNEL( ops::ExpGradFunctor>); /* ========================================================================== */ -/* ========================== exp register ============================ */ +/* ========================== abs register ============================ */ REGISTER_OP_CUDA_KERNEL( abs, ops::ActivationKernel>, @@ -180,4 +180,28 @@ REGISTER_OP_CUDA_KERNEL( ops::AbsGradFunctor>, ops::ActivationGradKernel>); +REGISTER_OP_CUDA_KERNEL( + abs_grad_grad, + ops::ActivationDoubleGradKernel>, + ops::ActivationDoubleGradKernel>, + ops::ActivationDoubleGradKernel>, + ops::ActivationDoubleGradKernel>, + ops::ActivationDoubleGradKernel>); +/* ========================================================================== */ + +/* ========================== Log register ==================================*/ +REGISTER_ACTIVATION_CUDA_KERNEL(log, Log, LogFunctor, LogGradFunctor); + +REGISTER_OP_CUDA_KERNEL( + log_grad_grad, ops::LogDoubleGradKernel>, + ops::LogDoubleGradKernel>, + ops::LogDoubleGradKernel>); /* ========================================================================== */ diff --git a/paddle/fluid/operators/activation_op.h b/paddle/fluid/operators/activation_op.h index 00a7c063c9155488d117332d5ef3541d16d76bdb..a5c613297a473c326a2d239ad57ac0cca5a165f3 100644 --- a/paddle/fluid/operators/activation_op.h +++ b/paddle/fluid/operators/activation_op.h @@ -1430,6 +1430,27 @@ class ActivationDoubleGradKernel } }; +template +struct AbsGradGradFunctor : public BaseActivationFunctor { + template + void operator()(const Device& dev, const framework::Tensor* X, + const framework::Tensor* Out, const framework::Tensor* ddX, + framework::Tensor* ddOut, framework::Tensor* dOut, + framework::Tensor* dX) const { + auto* d = dev.eigen_device(); + auto ddx = framework::EigenVector::Flatten( + GET_DATA_SAFELY(ddX, "Input", "DDX", "AbsGradGrad")); + auto x = framework::EigenVector::Flatten( + GET_DATA_SAFELY(X, "Input", "X", "AbsGradGrad")); + if (ddOut) { + auto ddout = framework::EigenVector::Flatten( + GET_DATA_SAFELY(ddOut, "Output", "DDOut", "AbsGradGrad")); + ddout.device(*d) = ddx * x.sign(); + } + } + static constexpr ActBwdOpFwdDeps FwdDeps() { return kDepX; } +}; + template struct ReluGradGradFunctor : public BaseActivationFunctor { template @@ -1642,6 +1663,10 @@ class SquareDoubleGradKernel } }; +template +class LogDoubleGradKernel + : public SquareDoubleGradKernel {}; + template class ELUDoubleGradKernel : public framework::OpKernel { @@ -1831,6 +1856,37 @@ class PowGradKernel functor(*place, x, out, dout, dx); } }; + +template +struct LogGradGradFunctor : public BaseActivationFunctor { + template + void operator()(const Device& dev, const framework::Tensor* X, + const framework::Tensor* ddX, framework::Tensor* ddOut, + const framework::Tensor* dOut, framework::Tensor* dX) const { + auto* d = dev.eigen_device(); + auto ddx = framework::EigenVector::Flatten( + GET_DATA_SAFELY(ddX, "Input", "DDX", "LogGradGrad")); + auto x = framework::EigenVector::Flatten( + GET_DATA_SAFELY(X, "Input", "X", "LogGradGrad")); + // ddout = ddx / x; dx = -(dout / x) * (ddx / x) + // calculate dx first, so ddout can inplace ddx + if (dX) { + auto dout = framework::EigenVector::Flatten( + GET_DATA_SAFELY(dOut, "Output", "DOut", "LogGradGrad")); + auto dx = framework::EigenVector::Flatten( + GET_DATA_SAFELY(dX, "Output", "DX", "LogGradGrad")); + dx.device(*d) = dout * static_cast(-1) * ddx / (x * x); + } + if (ddOut) { + auto ddout = framework::EigenVector::Flatten( + GET_DATA_SAFELY(ddOut, "Output", "DDOut", "LogGradGrad")); + ddout.device(*d) = ddx * static_cast(1) / x; + } + } + + static constexpr ActBwdOpFwdDeps FwdDeps() { return kDepX; } +}; + } // namespace operators } // namespace paddle @@ -1851,7 +1907,6 @@ class PowGradKernel __macro(cosh, Cosh, CoshFunctor, CoshGradFunctor); \ __macro(round, Round, RoundFunctor, ZeroGradFunctor); \ __macro(reciprocal, Reciprocal, ReciprocalFunctor, ReciprocalGradFunctor); \ - __macro(log, Log, LogFunctor, LogGradFunctor); \ __macro(log1p, Log1p, Log1pFunctor, Log1pGradFunctor); \ __macro(brelu, BRelu, BReluFunctor, BReluGradFunctor); \ __macro(soft_relu, SoftRelu, SoftReluFunctor, SoftReluGradFunctor); \ diff --git a/paddle/fluid/operators/activation_op_xpu.cc b/paddle/fluid/operators/activation_op_xpu.cc new file mode 100644 index 0000000000000000000000000000000000000000..49b7a08a7b52b0a1dd110215aad301f1b484317e --- /dev/null +++ b/paddle/fluid/operators/activation_op_xpu.cc @@ -0,0 +1,179 @@ +/* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#ifdef PADDLE_WITH_XPU + +#include "paddle/fluid/operators/activation_op.h" +#include +#include "paddle/fluid/platform/xpu_header.h" + +namespace paddle { +namespace operators { + +using paddle::framework::Tensor; + +template +class XPUActivationKernel + : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext &context) const override { + Functor functor; + + auto attrs = functor.GetAttrs(); + for (auto &attr : attrs) { + *attr.second = context.Attr(attr.first); + } + functor(context); + } +}; + +template +class XPUActivationGradKernel + : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext &context) const override { + Functor functor; + + auto attrs = functor.GetAttrs(); + for (auto &attr : attrs) { + *attr.second = context.Attr(attr.first); + } + functor(context); + } +}; + +template +void xpu_activation_forward(const framework::ExecutionContext &ctx, + xpu::Activation_t type) { + const auto *x = ctx.Input("X"); + auto *y = ctx.Output("Out"); + const T *x_data = x->data(); + T *y_data = y->mutable_data(ctx.GetPlace()); + int r = 0; + if (xpu::Activation_t::ACT_POW == type.type) { + type.pow_factor = ctx.Attr("factor"); + } + auto xpu_context = ctx.device_context().x_context(); + r = xpu::activation_forward(xpu_context, type, x->numel(), + reinterpret_cast(x_data), + reinterpret_cast(y_data)); + PADDLE_ENFORCE_EQ(r, XPU_SUCCESS, + platform::errors::External( + "XPU API return wrong value[%d], please check whether " + "Baidu Kunlun Card is properly installed.", + r)); +} + +template +void xpu_activation_backward(const framework::ExecutionContext &ctx, + xpu::Activation_t type) { + /* TODO: relu tanh sigmoid are inplace */ + const auto *x = ctx.Input("X"); + auto *y = ctx.Input("Out"); + auto *dOut = ctx.Input(framework::GradVarName("Out")); + auto *dX = ctx.Output(framework::GradVarName("X")); + const T *x_data = nullptr; + const T *y_data = nullptr; + const T *y_grad = nullptr; + if (x != nullptr) x_data = x->data(); + if (y != nullptr) y_data = y->data(); + if (dOut != nullptr) y_grad = dOut->data(); + T *x_grad = dX->mutable_data(ctx.GetPlace()); + auto xpu_context = ctx.device_context().x_context(); + int r = xpu::activation_backward(xpu_context, type, dX->numel(), + reinterpret_cast(x_data), + reinterpret_cast(y_data), + reinterpret_cast(y_grad), + reinterpret_cast(x_grad)); + PADDLE_ENFORCE_EQ(r, XPU_SUCCESS, + platform::errors::External( + "XPU API return wrong value[%d], please check whether " + "Baidu Kunlun Card is properly installed.", + r)); +} + +template +struct XPUActivationFunc : public BaseActivationFunctor { + void operator()(const framework::ExecutionContext &ctx) const { + xpu_activation_forward(ctx, + algorithm); + } +}; + +template +struct XPUActivationGradFunc : public BaseActivationFunctor { + void operator()(const framework::ExecutionContext &ctx) const { + xpu_activation_backward(ctx, + algorithm); + } +}; + +template +using XPUReluFunctor = XPUActivationFunc; +template +using XPUSigmoidFunctor = XPUActivationFunc; +template +using XPUTanhFunctor = XPUActivationFunc; +template +using XPUGeluFunctor = XPUActivationFunc; +template +using XPULogFunctor = XPUActivationFunc; +template +using XPUSquareFunctor = XPUActivationFunc; +template +using XPUSuareGradFunctor = XPUActivationGradFunc; +template +using XPUReluGradFunctor = XPUActivationGradFunc; +template +using XPUSigmoidGradFunctor = + XPUActivationGradFunc; +template +using XPUTanhGradFunctor = XPUActivationGradFunc; +template +using XPUGeluGradFunctor = XPUActivationGradFunc; +template +using XPUSqrtFunctor = XPUActivationFunc; +template +using XPUSqrtGradFunctor = XPUActivationGradFunc; +template +using XPUACTPowFunctor = XPUActivationFunc; +template +using XPUABSFunctor = XPUActivationFunc; +} // namespace operators +} // namespace paddle + +namespace ops = paddle::operators; + +#define REGISTER_ACTIVATION_XPU_KERNEL(act_type, functor, grad_functor) \ + REGISTER_OP_XPU_KERNEL(act_type, \ + ops::XPUActivationKernel>); \ + REGISTER_OP_XPU_KERNEL( \ + act_type##_grad, \ + ops::XPUActivationGradKernel>); + +REGISTER_ACTIVATION_XPU_KERNEL(relu, XPUReluFunctor, XPUReluGradFunctor) +REGISTER_ACTIVATION_XPU_KERNEL(tanh, XPUTanhFunctor, XPUTanhGradFunctor) +REGISTER_ACTIVATION_XPU_KERNEL(sigmoid, XPUSigmoidFunctor, + XPUSigmoidGradFunctor) +REGISTER_ACTIVATION_XPU_KERNEL(gelu, XPUGeluFunctor, XPUGeluGradFunctor) +REGISTER_ACTIVATION_XPU_KERNEL(sqrt, XPUSqrtFunctor, XPUSqrtGradFunctor) +REGISTER_ACTIVATION_XPU_KERNEL(square, XPUSquareFunctor, XPUSuareGradFunctor) +REGISTER_OP_XPU_KERNEL(log, + ops::XPUActivationKernel>); +REGISTER_OP_XPU_KERNEL(pow, + ops::XPUActivationKernel>); +REGISTER_OP_XPU_KERNEL(abs, + ops::XPUActivationKernel>); + +#endif // PADDLE_WITH_XPU diff --git a/paddle/fluid/operators/array_to_lod_tensor_op.cc b/paddle/fluid/operators/array_to_lod_tensor_op.cc index ea1a93b5826496aafc7a092d91ad4b4a4bad7215..89475e3a2ec072d6b331ef8136c0e5e29f45e25d 100644 --- a/paddle/fluid/operators/array_to_lod_tensor_op.cc +++ b/paddle/fluid/operators/array_to_lod_tensor_op.cc @@ -12,20 +12,27 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #include -#include -#include "paddle/fluid/framework/lod_rank_table.h" -#include "paddle/fluid/framework/lod_tensor_array.h" #include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/memory/memcpy.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +class OpDesc; +class Scope; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace operators { using LoD = framework::LoD; struct ArrayToLoDFunctor; + template struct ArrayToLoDFunctorImpl { const ArrayToLoDFunctor *prev_functor_; diff --git a/paddle/fluid/operators/assert_op.cc b/paddle/fluid/operators/assert_op.cc index da0e5fda63633084d766dab763d675d6943a828d..3e4250389fcfce26ddb4a845fd681955650b98ee 100644 --- a/paddle/fluid/operators/assert_op.cc +++ b/paddle/fluid/operators/assert_op.cc @@ -13,10 +13,24 @@ limitations under the License. */ #include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/framework/var_type.h" #include "paddle/fluid/operators/controlflow/while_op_helper.h" #include "paddle/fluid/operators/tensor_formatter.h" +namespace paddle { +namespace framework { +class InferShapeContext; +class LoDTensor; +class OpDesc; +class Scope; +class Variable; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + const char kCond[] = "Cond"; const char kData[] = "Data"; const char kSummarize[] = "summarize"; diff --git a/paddle/fluid/operators/assign_op.cc b/paddle/fluid/operators/assign_op.cc index f8c1216e9722b085314885c5714a3dd58d6e7176..e5bceae1c9520901a4d18e6e8321c00f922e2d8f 100644 --- a/paddle/fluid/operators/assign_op.cc +++ b/paddle/fluid/operators/assign_op.cc @@ -14,9 +14,23 @@ limitations under the License. */ #include "paddle/fluid/operators/assign_op.h" -#include #include +namespace paddle { +namespace framework { +class OpDesc; +class Variable; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +struct CUDAPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/assign_op.h b/paddle/fluid/operators/assign_op.h index c2154f78bbe97418f2c7388a000dc833134d0c84..ed4ba24a74bea2aaedbbef4908904e2696826290 100644 --- a/paddle/fluid/operators/assign_op.h +++ b/paddle/fluid/operators/assign_op.h @@ -19,6 +19,13 @@ limitations under the License. */ #include "paddle/fluid/framework/var_type.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +class LoDTensor; +class Variable; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { class AssignFunctor { diff --git a/paddle/fluid/operators/assign_op_test.cc b/paddle/fluid/operators/assign_op_test.cc index 58f360ad6059e4fe9743439cd0a16b1d7b9e241f..f0ec04a1f209c747f147f4069746e7935a85ccec 100644 --- a/paddle/fluid/operators/assign_op_test.cc +++ b/paddle/fluid/operators/assign_op_test.cc @@ -14,8 +14,6 @@ limitations under the License. */ #include "paddle/fluid/operators/assign_op.h" #include -#include -#include #include #include "paddle/fluid/framework/ddim.h" diff --git a/paddle/fluid/operators/assign_value_op.cc b/paddle/fluid/operators/assign_value_op.cc index a35e5a80a9eefaa537a4e16e899c24c370db0ba9..1589f9e8911f324d7a930ebb69cba8b2e8fe1c07 100644 --- a/paddle/fluid/operators/assign_value_op.cc +++ b/paddle/fluid/operators/assign_value_op.cc @@ -13,8 +13,23 @@ // limitations under the License. #include "paddle/fluid/operators/assign_value_op.h" + #include -#include + +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +} // namespace platform +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/assign_value_op.h b/paddle/fluid/operators/assign_value_op.h index 1418d96b67b75ea3a2d4b3d95d3e4bdfb17618ee..6c2e5b9ad68987c99675330b9f5591f39244d270 100644 --- a/paddle/fluid/operators/assign_value_op.h +++ b/paddle/fluid/operators/assign_value_op.h @@ -16,6 +16,7 @@ #include #include + #include "paddle/fluid/framework/eigen.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/operators/batch_norm_op.cc b/paddle/fluid/operators/batch_norm_op.cc index dcfe8bb1bb48a505f5526f6471e8ce9ba848b5b3..7a88403aa9daa78f1093115124eb19167bf6e99d 100644 --- a/paddle/fluid/operators/batch_norm_op.cc +++ b/paddle/fluid/operators/batch_norm_op.cc @@ -839,6 +839,7 @@ void BatchNormDoubleGradMaker::Apply(GradOpPtr op) const { op->SetInput("SavedMean", this->Input("SavedMean")); op->SetInput("SavedVariance", this->Input("SavedVariance")); if (BOOST_GET_CONST(bool, this->GetAttr("use_global_stats"))) { + op->SetInput("Mean", this->Input("Mean")); op->SetInput("Variance", this->Input("Variance")); } op->SetInput("DDX", this->OutputGrad(framework::GradVarName("X"))); @@ -868,14 +869,19 @@ void BatchNormDoubleGradOp::InferShape( "BatchNormDoubleGrad"); } - OP_INOUT_CHECK(ctx->HasInput("DDX"), "Input", "DDX", "BatchNormDoubleGrad"); OP_INOUT_CHECK(ctx->HasInput("DY"), "Input", "DY", "BatchNormDoubleGrad"); // check output OP_INOUT_CHECK(ctx->HasOutput("DX"), "Output", "DX", "BatchNormDoubleGrad"); const auto x_dims = ctx->GetInputDim("X"); - const int C = x_dims[1]; + const DataLayout data_layout = framework::StringToDataLayout( + ctx->Attrs().Get("data_layout")); + const int C = + ((this->IsMKLDNNType() == true) || (data_layout == DataLayout::kNCHW) + ? x_dims[1] + : x_dims[x_dims.size() - 1]); + if (ctx->HasOutput("DX")) { ctx->SetOutputDim("DX", x_dims); } @@ -957,7 +963,9 @@ class BatchNormDoubleGradKernel Tensor inv_var_tensor; if (use_global_stats) { + const auto *running_mean = ctx.Input("Mean"); const auto *running_variance = ctx.Input("Variance"); + mean_data = running_mean->data(); inv_var_tensor.Resize({C}); T *running_inv_var_data = inv_var_tensor.mutable_data(ctx.GetPlace()); @@ -1077,12 +1085,12 @@ class BatchNormDoubleGradKernel // (np.mean(dy, axis=(n,h,w)) - dy) + inv_var.pow(3) / NxHxW * // np.sum(dy, // axis=(n,h,w)) * (x - mean) * - // (np.mean(ddx, axis=(n,h,w)) - ddx) + ddr * (dy * inv_var - + // (np.mean(ddx, axis=(n,h,w)) - ddx)) + ddr * (dy * inv_var - // inv_var // * // np.mean(dy, axis=(n,h,w)) - // inv_var.pow(3) * (x - mean) * np.mean(dy * (x - mean), - // axis=(n,h,w)))) + // axis=(n,h,w))) if (ddX) { dx_arr += @@ -1176,7 +1184,8 @@ class BatchNormDoubleGradKernel C, sample_size); ddy_arr.setZero(); if (use_global_stats) { - // math: ddy = r * ddx * inv_var + // math: ddy = r * ddx * inv_var + ddbias + + // ddscale * (x - mean) * inv_var if (ddX) { ddy_arr = scale_tile_data * ddx_arr * inv_var_tile_data; } @@ -1196,25 +1205,29 @@ class BatchNormDoubleGradKernel .replicate(1, sample_size) / sample_size); } - if (ddScale && ddBias) { - ConstEigenVectorArrayMap ddscale_arr(ddScale->data(), C); - Tensor ddscale_tile; - ddscale_tile.Resize({C, sample_size}); - EigenArrayMap ddscale_tile_data( - ddscale_tile.mutable_data(ctx.GetPlace()), C, sample_size); - ddscale_tile_data = ddscale_arr.replicate(1, sample_size); + } + if (ddScale) { + ConstEigenVectorArrayMap ddscale_arr(ddScale->data(), C); + Tensor ddscale_tile; + ddscale_tile.Resize({C, sample_size}); + EigenArrayMap ddscale_tile_data( + ddscale_tile.mutable_data(ctx.GetPlace()), C, sample_size); + ddscale_tile_data = ddscale_arr.replicate(1, sample_size); + + ddy_arr += x_sub_mean_mul_invstd_arr * ddscale_tile_data; + } - ConstEigenVectorArrayMap ddbias_arr(ddBias->data(), C); - Tensor ddbias_tile; - ddbias_tile.Resize({C, sample_size}); - EigenArrayMap ddbias_tile_data( - ddbias_tile.mutable_data(ctx.GetPlace()), C, sample_size); - ddbias_tile_data = ddbias_arr.replicate(1, sample_size); + if (ddBias) { + ConstEigenVectorArrayMap ddbias_arr(ddBias->data(), C); + Tensor ddbias_tile; + ddbias_tile.Resize({C, sample_size}); + EigenArrayMap ddbias_tile_data( + ddbias_tile.mutable_data(ctx.GetPlace()), C, sample_size); + ddbias_tile_data = ddbias_arr.replicate(1, sample_size); - ddy_arr += x_sub_mean_mul_invstd_arr * ddscale_tile_data; - ddy_arr += ddbias_tile_data; - } + ddy_arr += ddbias_tile_data; } + if (data_layout == DataLayout::kNCHW) { VLOG(3) << "Transform batchnorm output from NHWC to NCHW"; TransToChannelFirst( diff --git a/paddle/fluid/operators/batch_size_like.h b/paddle/fluid/operators/batch_size_like.h index d2cf38049300578eb1626d39c0959b9beed13cdd..f24a3c316a05a8bf171812be0a6b3445488aeb58 100644 --- a/paddle/fluid/operators/batch_size_like.h +++ b/paddle/fluid/operators/batch_size_like.h @@ -26,25 +26,47 @@ class BatchSizeLikeOp : public framework::OperatorWithKernel { using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext *ctx) const override { - PADDLE_ENFORCE(ctx->HasInput("Input"), - "Input(Input) of %s should not be null.", Type()); - PADDLE_ENFORCE(ctx->HasOutput("Out"), - "Output(Out) of %s should not be null.", Type()); + OP_INOUT_CHECK(ctx->HasInput("Input"), "Input", "Input", Type()); + OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", Type()); auto &shape = ctx->Attrs().Get>("shape"); - PADDLE_ENFORCE_GT(shape.size(), 0); + PADDLE_ENFORCE_GT(shape.size(), 0, + platform::errors::InvalidArgument( + "Shape size must be larger than 0, but received: %s.", + shape.size())); std::vector shape_int64(shape.size(), 0); std::transform(shape.begin(), shape.end(), shape_int64.begin(), [](int a) { return static_cast(a); }); auto output_dim = framework::make_ddim(shape_int64); int input_dim_idx = ctx->Attrs().Get("input_dim_idx"); - PADDLE_ENFORCE_GE(input_dim_idx, 0); - PADDLE_ENFORCE_GT(ctx->GetInputDim("Input").size(), input_dim_idx); + int input_dim_size = static_cast(ctx->GetInputDim("Input").size()); + PADDLE_ENFORCE_GE(input_dim_idx, 0, + platform::errors::InvalidArgument( + "Input dimension index must be larger " + "equal than 0, but received: %s.", + input_dim_idx)); + PADDLE_ENFORCE_GT(input_dim_size, input_dim_idx, + platform::errors::InvalidArgument( + "Input dimension size must be larger than " + "input dimension index, but received input " + "dimension size: %s, input dimension index: %s.", + input_dim_size, input_dim_idx)); int output_dim_idx = ctx->Attrs().Get("output_dim_idx"); - PADDLE_ENFORCE_GE(output_dim_idx, 0); - PADDLE_ENFORCE_GT(static_cast(shape.size()), output_dim_idx); + int output_dim_size = static_cast(shape.size()); + PADDLE_ENFORCE_GE(output_dim_idx, 0, + platform::errors::InvalidArgument( + "Output dimension index must be larger " + "equal than 0, but received: %s.", + output_dim_idx)); + PADDLE_ENFORCE_GT( + output_dim_size, output_dim_idx, + platform::errors::InvalidArgument( + "Output dimension size must be larger than output dimension index, " + "but received output dimension size: %s, output dimension index: " + "%s.", + output_dim_size, output_dim_idx)); output_dim[output_dim_idx] = ctx->GetInputDim("Input")[input_dim_idx]; ctx->SetOutputDim("Out", output_dim); diff --git a/paddle/fluid/operators/beam_search_decode_op.cc b/paddle/fluid/operators/beam_search_decode_op.cc index c177dad8028222da39ba85a78ba684f8933e07b5..3cb3f1d48bfa7108f739463b40bf23f17c18f651 100644 --- a/paddle/fluid/operators/beam_search_decode_op.cc +++ b/paddle/fluid/operators/beam_search_decode_op.cc @@ -12,12 +12,24 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include #include #include "paddle/fluid/operators/beam_search_decode_op.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/benchmark/op_tester.cc b/paddle/fluid/operators/benchmark/op_tester.cc index 5ec34e574504e1058021a0623d09d4d33cf75c66..654df5ccd5e9df324f6e127addadd4e71a641d94 100644 --- a/paddle/fluid/operators/benchmark/op_tester.cc +++ b/paddle/fluid/operators/benchmark/op_tester.cc @@ -47,8 +47,8 @@ void OpTester::Init(const OpTesterConfig &config) { CreateInputVarDesc(); CreateOutputVarDesc(); } else { - PADDLE_THROW(platform::errors::NotFound("Operator '%s' is not registered.", - config_.op_type)); + PADDLE_THROW(platform::errors::NotFound( + "Operator '%s' is not registered in OpTester.", config_.op_type)); } if (config_.device_id >= 0) { @@ -81,7 +81,8 @@ void OpTester::Run() { platform::EnableProfiler(platform::ProfilerState::kAll); platform::SetDeviceId(config_.device_id); #else - PADDLE_THROW("'CUDAPlace' is not supported in CPU only device."); + PADDLE_THROW(platform::errors::PermissionDenied( + "'CUDAPlace' is not supported in CPU only device.")); #endif } @@ -162,7 +163,8 @@ framework::proto::VarType::Type OpTester::TransToVarType(std::string str) { } else if (str == "fp64") { return framework::proto::VarType::FP64; } else { - PADDLE_THROW("Unsupported dtype %s.", str.c_str()); + PADDLE_THROW(platform::errors::Unimplemented( + "Unsupported dtype %s in OpTester.", str.c_str())); } } @@ -233,8 +235,8 @@ void OpTester::CreateOpDesc() { case framework::proto::AttrType::INTS: case framework::proto::AttrType::FLOATS: case framework::proto::AttrType::STRINGS: - PADDLE_THROW( - platform::errors::Unimplemented("Not supported STRINGS type yet.")); + PADDLE_THROW(platform::errors::Unimplemented( + "Unsupported STRINGS type in OpTester yet.")); break; case framework::proto::AttrType::LONG: { int64_t value = StringTo(value_str); @@ -242,7 +244,8 @@ void OpTester::CreateOpDesc() { } break; case framework::proto::AttrType::LONGS: default: - PADDLE_THROW("Unsupport attr type %d", type); + PADDLE_THROW(platform::errors::Unimplemented( + "Unsupport attr type %d in OpTester.", type)); } } } @@ -299,7 +302,8 @@ void OpTester::SetupTensor(framework::LoDTensor *tensor, } is.close(); } else { - PADDLE_THROW("Unsupported initializer %s.", initializer.c_str()); + PADDLE_THROW(platform::errors::Unimplemented( + "Unsupported initializer %s in OpTester.", initializer.c_str())); } if (!platform::is_cpu_place(place_)) { @@ -351,7 +355,8 @@ void OpTester::CreateVariables(framework::Scope *scope) { static_cast(1.0), item.second.initializer, item.second.filename); } else { - PADDLE_THROW("Unsupported dtype %d.", data_type); + PADDLE_THROW(platform::errors::Unimplemented( + "Unsupported dtype %d in OpTester.", data_type)); } VLOG(3) << "Set lod for tensor " << var_name; @@ -473,7 +478,8 @@ std::string OpTester::DebugString() { << "\n"; } break; default: - PADDLE_THROW("Unsupport attr type %d", attr_type); + PADDLE_THROW(platform::errors::Unimplemented( + "Unsupport attr type %d in OpTester.", attr_type)); } ss << GenSpaces(--count) << "}\n"; } @@ -484,8 +490,10 @@ std::string OpTester::DebugString() { TEST(op_tester, base) { if (!FLAGS_op_config_list.empty()) { std::ifstream fin(FLAGS_op_config_list, std::ios::in | std::ios::binary); - PADDLE_ENFORCE(static_cast(fin), "Cannot open file %s", - FLAGS_op_config_list.c_str()); + PADDLE_ENFORCE_EQ( + static_cast(fin), true, + platform::errors::InvalidArgument("OpTester cannot open file %s", + FLAGS_op_config_list.c_str())); std::vector op_configs; while (!fin.eof()) { VLOG(4) << "Reading config " << op_configs.size() << "..."; diff --git a/paddle/fluid/operators/benchmark/op_tester_config.cc b/paddle/fluid/operators/benchmark/op_tester_config.cc index 818e5f64edc2c1d213659c48d282df75625676ca..e9477798858d13e7a2862081561634011f9156c8 100644 --- a/paddle/fluid/operators/benchmark/op_tester_config.cc +++ b/paddle/fluid/operators/benchmark/op_tester_config.cc @@ -78,7 +78,8 @@ void OpInputConfig::ParseDType(std::istream& is) { } else if (dtype_str == "fp64" || dtype_str == "double") { dtype = "fp64"; } else { - PADDLE_THROW("Unsupported dtype %s", dtype_str.c_str()); + PADDLE_THROW(platform::errors::Unimplemented( + "Unsupported dtype %s in OpInputConfig.", dtype_str.c_str())); } VLOG(4) << "dtype of input " << name << " is: " << dtype; } @@ -91,7 +92,9 @@ void OpInputConfig::ParseInitializer(std::istream& is) { const std::vector supported_initializers = {"random", "natural", "zeros", "file"}; if (!Has(supported_initializers, initializer_str)) { - PADDLE_THROW("Unsupported initializer %s", initializer_str.c_str()); + PADDLE_THROW(platform::errors::Unimplemented( + "Unsupported initializer %s in OpInputConfig.", + initializer_str.c_str())); } initializer = initializer_str; @@ -126,7 +129,12 @@ void OpInputConfig::ParseLoD(std::istream& is) { } } EraseEndSep(&lod_str); - PADDLE_ENFORCE_GE(lod_str.length(), 4U); + PADDLE_ENFORCE_GE( + lod_str.length(), 4U, + platform::errors::InvalidArgument( + "The length of lod string should be " + "equal to or larger than 4. But length of lod string is %zu.", + lod_str.length())); VLOG(4) << "lod: " << lod_str << ", length: " << lod_str.length(); // Parse the lod_str @@ -153,8 +161,10 @@ void OpInputConfig::ParseLoD(std::istream& is) { OpTesterConfig::OpTesterConfig(const std::string& filename) { std::ifstream fin(filename, std::ios::in | std::ios::binary); - PADDLE_ENFORCE(static_cast(fin), "Cannot open file %s", - filename.c_str()); + PADDLE_ENFORCE_EQ( + static_cast(fin), true, + platform::errors::InvalidArgument("OpTesterConfig cannot open file %s.", + filename.c_str())); Init(fin); } diff --git a/paddle/fluid/operators/collective/c_allreduce_max_op.cc b/paddle/fluid/operators/collective/c_allreduce_max_op.cc index bcb529f1570828d2bcca6d4275a213be4d5633eb..835b49e57bc0922a0d0be7895b57275ba31d2173 100644 --- a/paddle/fluid/operators/collective/c_allreduce_max_op.cc +++ b/paddle/fluid/operators/collective/c_allreduce_max_op.cc @@ -14,6 +14,21 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_allreduce_op.h" +namespace paddle { +namespace framework { +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/collective/c_allreduce_max_op.cu.cc b/paddle/fluid/operators/collective/c_allreduce_max_op.cu.cc index 34054103aa0cf195ed394df860a8219ff3aa0157..ec8d651819502021c488d20c4a297e95ec664387 100644 --- a/paddle/fluid/operators/collective/c_allreduce_max_op.cu.cc +++ b/paddle/fluid/operators/collective/c_allreduce_max_op.cu.cc @@ -14,6 +14,13 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_allreduce_op.h" +namespace paddle { +namespace platform { +struct CUDAPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace ops = paddle::operators; namespace plat = paddle::platform; diff --git a/paddle/fluid/operators/collective/c_allreduce_min_op.cc b/paddle/fluid/operators/collective/c_allreduce_min_op.cc index 9d27a9ceb30704463270b3922c3584febcc05c9e..efc19659c83ec35c9650d3184654f97d23940745 100644 --- a/paddle/fluid/operators/collective/c_allreduce_min_op.cc +++ b/paddle/fluid/operators/collective/c_allreduce_min_op.cc @@ -14,6 +14,21 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_allreduce_op.h" +namespace paddle { +namespace framework { +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/collective/c_allreduce_min_op.cu.cc b/paddle/fluid/operators/collective/c_allreduce_min_op.cu.cc index 4e8b6f9d0a937ec4a5e7205bbd9ae834a2d305db..7935a1f722e553ff66bfaeb2f1cf2bb7876f95fb 100644 --- a/paddle/fluid/operators/collective/c_allreduce_min_op.cu.cc +++ b/paddle/fluid/operators/collective/c_allreduce_min_op.cu.cc @@ -14,6 +14,13 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_allreduce_op.h" +namespace paddle { +namespace platform { +struct CUDAPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace ops = paddle::operators; namespace plat = paddle::platform; diff --git a/paddle/fluid/operators/collective/c_allreduce_prod_op.cc b/paddle/fluid/operators/collective/c_allreduce_prod_op.cc index 3cfb1723f18d326b33ed6c332f595010c5241f9a..5ab07ef026bac5bef7386b0789803933cd8fdf2a 100644 --- a/paddle/fluid/operators/collective/c_allreduce_prod_op.cc +++ b/paddle/fluid/operators/collective/c_allreduce_prod_op.cc @@ -14,6 +14,21 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_allreduce_op.h" +namespace paddle { +namespace framework { +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/collective/c_allreduce_prod_op.cu.cc b/paddle/fluid/operators/collective/c_allreduce_prod_op.cu.cc index 61f76c178d03afad6eddf6848badb5894b51dcd8..1a78427cd19ee20440f1f47515c663191431b587 100644 --- a/paddle/fluid/operators/collective/c_allreduce_prod_op.cu.cc +++ b/paddle/fluid/operators/collective/c_allreduce_prod_op.cu.cc @@ -14,6 +14,13 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_allreduce_op.h" +namespace paddle { +namespace platform { +struct CUDAPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace ops = paddle::operators; namespace plat = paddle::platform; diff --git a/paddle/fluid/operators/collective/c_allreduce_sum_op.cc b/paddle/fluid/operators/collective/c_allreduce_sum_op.cc index c9ed8b67647eab2b3de8bd132bb70cd2bf16edc0..68061e6ae6bea097b7a2bc5ee19d58c05fd21848 100644 --- a/paddle/fluid/operators/collective/c_allreduce_sum_op.cc +++ b/paddle/fluid/operators/collective/c_allreduce_sum_op.cc @@ -14,6 +14,19 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_allreduce_op.h" +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/collective/c_allreduce_sum_op.cu.cc b/paddle/fluid/operators/collective/c_allreduce_sum_op.cu.cc index 8fe7fce21e465af8af4d045c29dbc12ab9bc3c84..06e90cdff80455c688d990f30bd6f88910be3cce 100644 --- a/paddle/fluid/operators/collective/c_allreduce_sum_op.cu.cc +++ b/paddle/fluid/operators/collective/c_allreduce_sum_op.cu.cc @@ -14,6 +14,13 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_allreduce_op.h" +namespace paddle { +namespace platform { +struct CUDAPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace ops = paddle::operators; namespace plat = paddle::platform; diff --git a/paddle/fluid/operators/collective/c_comm_init_op.cc b/paddle/fluid/operators/collective/c_comm_init_op.cc index a3bf1f4dfb1cb09fc864f891dda793ecde9027c6..ccad96320a757295b8c5256260852660fc3dcde8 100644 --- a/paddle/fluid/operators/collective/c_comm_init_op.cc +++ b/paddle/fluid/operators/collective/c_comm_init_op.cc @@ -14,19 +14,17 @@ limitations under the License. */ #if defined(PADDLE_WITH_NCCL) #include #endif -#include -#include #include -#include "paddle/fluid/framework/executor.h" -#include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/framework/threadpool.h" -#include "paddle/fluid/operators/distributed/distributed.h" -#include "paddle/fluid/operators/distributed/request_handler_impl.h" + +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +} // namespace paddle #if defined(PADDLE_WITH_NCCL) #include "paddle/fluid/platform/collective_helper.h" -#include "paddle/fluid/platform/nccl_helper.h" #endif namespace paddle { diff --git a/paddle/fluid/operators/collective/c_gen_nccl_id_op.cc b/paddle/fluid/operators/collective/c_gen_nccl_id_op.cc index e2b09be5a9dfff0111ab80d89bdd76b99517738f..2822129b19886e230b7bcbc09429168b49240c92 100644 --- a/paddle/fluid/operators/collective/c_gen_nccl_id_op.cc +++ b/paddle/fluid/operators/collective/c_gen_nccl_id_op.cc @@ -11,25 +11,23 @@ distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ - -#if defined(PADDLE_WITH_NCCL) -#include -#endif - -#include -#include #include +#include "glog/logging.h" #include "paddle/fluid/framework/executor.h" -#include "paddle/fluid/framework/lod_tensor.h" +#include "paddle/fluid/framework/op_proto_maker.h" #include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/framework/threadpool.h" +#include "paddle/fluid/framework/operator.h" +#include "paddle/fluid/framework/program_desc.h" +#include "paddle/fluid/framework/scope.h" +#include "paddle/fluid/framework/var_type_traits.h" #include "paddle/fluid/operators/distributed/distributed.h" +#include "paddle/fluid/operators/distributed/request_handler.h" #include "paddle/fluid/operators/distributed/request_handler_impl.h" - -#if defined(PADDLE_WITH_NCCL) -#include "paddle/fluid/platform/nccl_helper.h" -#endif +#include "paddle/fluid/operators/distributed/rpc_client.h" +#include "paddle/fluid/platform/device_context.h" +#include "paddle/fluid/platform/enforce.h" +#include "paddle/fluid/platform/place.h" namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/collective/c_reduce_max_op.cc b/paddle/fluid/operators/collective/c_reduce_max_op.cc index 425351877689f7e3ad8e0a46d2226f5f751a4016..41a07f94399514b5ba8b207e5b5c21bd9793ce92 100644 --- a/paddle/fluid/operators/collective/c_reduce_max_op.cc +++ b/paddle/fluid/operators/collective/c_reduce_max_op.cc @@ -14,6 +14,21 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_reduce_op.h" +namespace paddle { +namespace framework { +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/collective/c_reduce_max_op.cu.cc b/paddle/fluid/operators/collective/c_reduce_max_op.cu.cc index 7e260346b4bdd8aced0df59c72f5adb4c479e8d0..e03da37360f4749e9375e59fa79a65adb3a077a0 100644 --- a/paddle/fluid/operators/collective/c_reduce_max_op.cu.cc +++ b/paddle/fluid/operators/collective/c_reduce_max_op.cu.cc @@ -14,6 +14,13 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_reduce_op.h" +namespace paddle { +namespace platform { +struct CUDAPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace ops = paddle::operators; namespace plat = paddle::platform; diff --git a/paddle/fluid/operators/collective/c_reduce_min_op.cc b/paddle/fluid/operators/collective/c_reduce_min_op.cc index 8e849641e639eeceb48fc95656b269988c827006..77bb96347f94335ae481df16108d7b294590d4db 100644 --- a/paddle/fluid/operators/collective/c_reduce_min_op.cc +++ b/paddle/fluid/operators/collective/c_reduce_min_op.cc @@ -14,6 +14,21 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_reduce_op.h" +namespace paddle { +namespace framework { +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/collective/c_reduce_min_op.cu.cc b/paddle/fluid/operators/collective/c_reduce_min_op.cu.cc index 77a75ed0b7af2a7946c02bfa0f33038aa0090c5b..83f7fce1ec6b7d73d3b0451b8a2d83d87be9408e 100644 --- a/paddle/fluid/operators/collective/c_reduce_min_op.cu.cc +++ b/paddle/fluid/operators/collective/c_reduce_min_op.cu.cc @@ -14,6 +14,13 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_reduce_op.h" +namespace paddle { +namespace platform { +struct CUDAPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace ops = paddle::operators; namespace plat = paddle::platform; diff --git a/paddle/fluid/operators/collective/c_reduce_prod_op.cc b/paddle/fluid/operators/collective/c_reduce_prod_op.cc index 64935df856ec79f427bdcd21e03b7c493c31ac1e..f6c1c5d50e864fd02d65f7993257857a1d36e2ab 100644 --- a/paddle/fluid/operators/collective/c_reduce_prod_op.cc +++ b/paddle/fluid/operators/collective/c_reduce_prod_op.cc @@ -14,6 +14,21 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_reduce_op.h" +namespace paddle { +namespace framework { +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/collective/c_reduce_prod_op.cu.cc b/paddle/fluid/operators/collective/c_reduce_prod_op.cu.cc index 07e431f7bc838caa9bc3abdcd0be1beb94b96635..83db107b36faf721f7a8e3a1ef40b960c93f97eb 100644 --- a/paddle/fluid/operators/collective/c_reduce_prod_op.cu.cc +++ b/paddle/fluid/operators/collective/c_reduce_prod_op.cu.cc @@ -14,6 +14,13 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_reduce_op.h" +namespace paddle { +namespace platform { +struct CUDAPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace ops = paddle::operators; namespace plat = paddle::platform; diff --git a/paddle/fluid/operators/collective/c_reduce_sum_op.cc b/paddle/fluid/operators/collective/c_reduce_sum_op.cc index 3e20cee7e186a462aedc1881c6e34cacc8d09de0..e59ec85fefd13a5454127dab6a27fd5ed2c6b253 100644 --- a/paddle/fluid/operators/collective/c_reduce_sum_op.cc +++ b/paddle/fluid/operators/collective/c_reduce_sum_op.cc @@ -14,6 +14,21 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_reduce_op.h" +namespace paddle { +namespace framework { +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/collective/c_reduce_sum_op.cu.cc b/paddle/fluid/operators/collective/c_reduce_sum_op.cu.cc index d9826422c16cb67f9f7101643918a83898c606b3..39c8716a92a36efdec75d4b159709fdaabe9a00b 100644 --- a/paddle/fluid/operators/collective/c_reduce_sum_op.cu.cc +++ b/paddle/fluid/operators/collective/c_reduce_sum_op.cu.cc @@ -14,6 +14,13 @@ limitations under the License. */ #include "paddle/fluid/operators/collective/c_reduce_op.h" +namespace paddle { +namespace platform { +struct CUDAPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace ops = paddle::operators; namespace plat = paddle::platform; diff --git a/paddle/fluid/operators/collective/c_sync_calc_stream_op.cc b/paddle/fluid/operators/collective/c_sync_calc_stream_op.cc index 64b60165722a5e5b978c4ead29d2c0fdb344354f..00f366e62120d5cb1adfdf384c3a0759ffbfa12d 100644 --- a/paddle/fluid/operators/collective/c_sync_calc_stream_op.cc +++ b/paddle/fluid/operators/collective/c_sync_calc_stream_op.cc @@ -11,19 +11,15 @@ distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ - -#if defined(PADDLE_WITH_NCCL) -#include -#endif - #include -#include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_registry.h" -#if defined(PADDLE_WITH_NCCL) -#include "paddle/fluid/platform/collective_helper.h" -#endif +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/collective/c_sync_comm_stream_op.cc b/paddle/fluid/operators/collective/c_sync_comm_stream_op.cc index 5405ea70ef65505fe02bb6f2a3d3b7ee79ce6bfa..7e5311a210323aaa1584345ece3a2059ed956936 100644 --- a/paddle/fluid/operators/collective/c_sync_comm_stream_op.cc +++ b/paddle/fluid/operators/collective/c_sync_comm_stream_op.cc @@ -11,18 +11,17 @@ distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ - -#if defined(PADDLE_WITH_NCCL) -#include -#endif - #include -#include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_registry.h" + +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +} // namespace paddle #if defined(PADDLE_WITH_NCCL) #include "paddle/fluid/platform/collective_helper.h" -#include "paddle/fluid/platform/nccl_helper.h" #endif namespace paddle { @@ -55,8 +54,10 @@ class CSyncCommStreamOp : public framework::OperatorBase { class CSyncCommStreamOpMaker : public framework::OpProtoAndCheckerMaker { public: void Make() { - AddInput("X", "(Tensor) Dependency of the variable need to sync"); - AddOutput("Out", "(Tensor) Dependency of the variable need to sync"); + AddInput("X", "(Tensor) Dependency of the variable need to sync") + .AsDuplicable(); + AddOutput("Out", "(Tensor) Dependency of the variable need to sync") + .AsDuplicable(); AddAttr("ring_id", "(int default 0) ring id.").SetDefault(0); AddComment(R"DOC( CSyncCommStream Operator diff --git a/paddle/fluid/operators/common_infer_shape_functions.cc b/paddle/fluid/operators/common_infer_shape_functions.cc index 22b212fc1b9f8844f0ae3555ac6d63af1f48d1cd..ce622d7501f90d0b6d1e9f4f50627fe0038f013e 100644 --- a/paddle/fluid/operators/common_infer_shape_functions.cc +++ b/paddle/fluid/operators/common_infer_shape_functions.cc @@ -13,10 +13,15 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/common_infer_shape_functions.h" - #include #include +namespace paddle { +namespace framework { +class InferShapeContext; +} // namespace framework +} // namespace paddle + // This file almostly contains all the infershape functions that are used in // operators. diff --git a/paddle/fluid/operators/common_infer_shape_functions.h b/paddle/fluid/operators/common_infer_shape_functions.h index 2cb9eab2865ce068a4f776bc63070c59bf029481..922d5262abc42dfb19f72ddaa47c85e448b84208 100644 --- a/paddle/fluid/operators/common_infer_shape_functions.h +++ b/paddle/fluid/operators/common_infer_shape_functions.h @@ -17,6 +17,12 @@ limitations under the License. */ #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/operator.h" +namespace paddle { +namespace framework { +class InferShapeContext; +} // namespace framework +} // namespace paddle + // This file almostly contains all the infershape functions that are used in // operators. diff --git a/paddle/fluid/operators/controlflow/conditional_block_infer_op.cc b/paddle/fluid/operators/controlflow/conditional_block_infer_op.cc index aa31b8875620d967f115a4d18b5022ca3eb21804..62019be26cdef8214fe0e7c3e063c9387a30c91a 100644 --- a/paddle/fluid/operators/controlflow/conditional_block_infer_op.cc +++ b/paddle/fluid/operators/controlflow/conditional_block_infer_op.cc @@ -14,6 +14,18 @@ limitations under the License. */ #include "paddle/fluid/operators/controlflow/conditional_block_op.h" +namespace paddle { +namespace framework { +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/controlflow/conditional_block_op.h b/paddle/fluid/operators/controlflow/conditional_block_op.h index 659e098c6dd20840e0efcea5ad0c5ee37300f4f4..c8ab2c91e912241457a8ab2f5455ef886b3b18ae 100644 --- a/paddle/fluid/operators/controlflow/conditional_block_op.h +++ b/paddle/fluid/operators/controlflow/conditional_block_op.h @@ -18,6 +18,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/executor.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/var_type.h" diff --git a/paddle/fluid/operators/controlflow/conditional_block_op_helper.cc b/paddle/fluid/operators/controlflow/conditional_block_op_helper.cc index 155a5dbfec31f3a689fe199827f8ccf1c783d4e6..00b86121c0ddab5d53bf4c417ce27885ae0deb88 100644 --- a/paddle/fluid/operators/controlflow/conditional_block_op_helper.cc +++ b/paddle/fluid/operators/controlflow/conditional_block_op_helper.cc @@ -13,12 +13,19 @@ // limitations under the License. #include "paddle/fluid/operators/controlflow/conditional_block_op_helper.h" + #include #include #include -#include + #include "paddle/fluid/operators/controlflow/op_variant.h" +namespace paddle { +namespace framework { +class ProgramDesc; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/controlflow/conditional_block_op_helper.h b/paddle/fluid/operators/controlflow/conditional_block_op_helper.h index f7dfba6f364e197a97cc5e061e42cd5cc84309db..abaaa8976065ca5636369036a0701d3d5bdfab00 100644 --- a/paddle/fluid/operators/controlflow/conditional_block_op_helper.h +++ b/paddle/fluid/operators/controlflow/conditional_block_op_helper.h @@ -16,9 +16,16 @@ #include #include + #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/operators/controlflow/conditional_block_op.h" +namespace paddle { +namespace framework { +class ProgramDesc; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/controlflow/conditional_block_op_test.cc b/paddle/fluid/operators/controlflow/conditional_block_op_test.cc index a5ca4a289deb1eb9a4666e84775bb26c0bdf030c..068d853f1cc7259c54defa8ee9519aa4e5e1e98e 100644 --- a/paddle/fluid/operators/controlflow/conditional_block_op_test.cc +++ b/paddle/fluid/operators/controlflow/conditional_block_op_test.cc @@ -13,14 +13,10 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/controlflow/conditional_block_op.h" -#include -#include -#include + #include "gtest/gtest.h" -#include "paddle/fluid/framework/executor.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/scope.h" -#include "paddle/fluid/framework/var_type.h" USE_NO_KERNEL_OP(conditional_block); USE_NO_KERNEL_OP(conditional_block_grad); diff --git a/paddle/fluid/operators/controlflow/feed_op.cc b/paddle/fluid/operators/controlflow/feed_op.cc index 088413ce223594ac8a32f0d06662dd3b8342c096..9597dd25ec530f6f2cb32ee12a08b05feb5b8bfa 100644 --- a/paddle/fluid/operators/controlflow/feed_op.cc +++ b/paddle/fluid/operators/controlflow/feed_op.cc @@ -12,10 +12,21 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include "paddle/fluid/framework/feed_fetch_type.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/operator.h" +namespace paddle { +namespace framework { +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace operators { class FeedOp : public framework::OperatorBase { diff --git a/paddle/fluid/operators/controlflow/get_places_op.cc b/paddle/fluid/operators/controlflow/get_places_op.cc index 4ab9f9fc863a6979496707ba4cc6794a56c37b30..e8829e1e1fa4628ac1c1989e91d6ee8048eb2a3d 100644 --- a/paddle/fluid/operators/controlflow/get_places_op.cc +++ b/paddle/fluid/operators/controlflow/get_places_op.cc @@ -12,9 +12,21 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include // NOLINT #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/platform/place.h" + +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle #ifdef PADDLE_WITH_CUDA #include "paddle/fluid/platform/gpu_info.h" #endif diff --git a/paddle/fluid/operators/controlflow/op_variant.h b/paddle/fluid/operators/controlflow/op_variant.h index 9af993f1006c1e0107951c89460abe76c1561064..28c27437de12e37eaa94cef677fe3c9fc292c7c7 100644 --- a/paddle/fluid/operators/controlflow/op_variant.h +++ b/paddle/fluid/operators/controlflow/op_variant.h @@ -20,6 +20,13 @@ #include "paddle/fluid/framework/program_desc.h" #include "paddle/fluid/platform/variant.h" +namespace paddle { +namespace framework { +class OpDesc; +class OperatorBase; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/controlflow/recurrent_op_helper.cc b/paddle/fluid/operators/controlflow/recurrent_op_helper.cc index f2973add84e89f931aaec09515c17cf5725d8759..c96b7c6a08c79c188d8254282d1e29b4ec105c03 100644 --- a/paddle/fluid/operators/controlflow/recurrent_op_helper.cc +++ b/paddle/fluid/operators/controlflow/recurrent_op_helper.cc @@ -13,14 +13,15 @@ // limitations under the License. #include "paddle/fluid/operators/controlflow/recurrent_op_helper.h" - #include #include -#include -#include -#include "paddle/fluid/framework/program_desc.h" -#include "paddle/fluid/operators/recurrent_op.h" +namespace paddle { +namespace framework { +class BlockDesc; +class ProgramDesc; +} // namespace framework +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/controlflow/recurrent_op_helper.h b/paddle/fluid/operators/controlflow/recurrent_op_helper.h index aacca0762ca1d45634d36da572448dae7e9fe195..3d9404e57aa2715fe893879ac82735dc09006875 100644 --- a/paddle/fluid/operators/controlflow/recurrent_op_helper.h +++ b/paddle/fluid/operators/controlflow/recurrent_op_helper.h @@ -26,6 +26,12 @@ #include "paddle/fluid/platform/variant.h" #include "paddle/fluid/string/string_helper.h" +namespace paddle { +namespace framework { +class ProgramDesc; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/controlflow/tensor_array_read_write_op.cc b/paddle/fluid/operators/controlflow/tensor_array_read_write_op.cc index 9f7702a5d6b63cc689535f2f1c880058e6211709..c4451c3b583c72fc6b7b1d4a257bd484fe9e3e53 100644 --- a/paddle/fluid/operators/controlflow/tensor_array_read_write_op.cc +++ b/paddle/fluid/operators/controlflow/tensor_array_read_write_op.cc @@ -12,7 +12,16 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/array_operator.h" -#include "paddle/fluid/operators/math/math_function.h" + +namespace paddle { +namespace framework { +class OpDesc; +class Scope; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/controlflow/while_op.cc b/paddle/fluid/operators/controlflow/while_op.cc index e4a1397f5c426a31b19c04aa8fb97c516a759c36..b85e740ada9bde7c7a9f4190082cf91def37f8cf 100644 --- a/paddle/fluid/operators/controlflow/while_op.cc +++ b/paddle/fluid/operators/controlflow/while_op.cc @@ -12,14 +12,19 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include #include "paddle/fluid/framework/executor.h" -#include "paddle/fluid/framework/lod_tensor_array.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/operator.h" -#include "paddle/fluid/framework/var_type.h" #include "paddle/fluid/operators/controlflow/while_op_helper.h" +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class VarDesc; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/controlflow/while_op_helper.h b/paddle/fluid/operators/controlflow/while_op_helper.h index 4f9d93c91f6f3f167fcda66d25addd0b6ac3ec6d..d2e9953e6477ad10c297adca13f4d8604a1f6f5d 100644 --- a/paddle/fluid/operators/controlflow/while_op_helper.h +++ b/paddle/fluid/operators/controlflow/while_op_helper.h @@ -17,9 +17,17 @@ #include #include #include + #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/platform/variant.h" +namespace paddle { +namespace framework { +class LoDTensor; +class ProgramDesc; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/conv_cudnn_helper.h b/paddle/fluid/operators/conv_cudnn_helper.h index 25b45f281a799ade12ec9cbfb8fb262dbc572196..fac8e24251033c301c911f35dcfd0ddb82b713ce 100644 --- a/paddle/fluid/operators/conv_cudnn_helper.h +++ b/paddle/fluid/operators/conv_cudnn_helper.h @@ -162,7 +162,20 @@ struct SearchAlgorithm { workspace_size = GetWorkspaceSize(args, algo); if (workspace_size > workspace_size_limit) { +#if CUDNN_VERSION >= 8000 workspace_size_limit = workspace_size; +#else + VLOG(1) << "Fallback to non-v7 method to find conv algorithm becasue " + "the workspace size request(" + << workspace_size << ") exceeds the limit(" + << workspace_size_limit << ")"; + PADDLE_ENFORCE_CUDA_SUCCESS( + platform::dynload::cudnnGetConvolutionForwardAlgorithm( + args.handle, args.idesc.desc(), args.wdesc.desc(), + args.cdesc.desc(), args.odesc.desc(), + CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT, + workspace_size_limit, &algo)); +#endif } #else PADDLE_ENFORCE_CUDA_SUCCESS( @@ -291,8 +304,23 @@ struct SearchAlgorithm { #endif workspace_size = GetWorkspaceSize(args, algo); if (workspace_size > workspace_size_limit) { - workspace_size_limit = workspace_size; has_got_workspace_size = false; +#if CUDNN_VERSION >= 8000 + // There is no cudnnGetConvolutionBackwardDataAlgorithm in CUDNN 8 + // version. + workspace_size_limit = workspace_size; +#else + VLOG(1) << "Fallback to non-v7 method to find conv algorithm becasue " + "the workspace size request(" + << workspace_size << ") exceeds the limit(" + << workspace_size_limit << ")"; + PADDLE_ENFORCE_CUDA_SUCCESS( + platform::dynload::cudnnGetConvolutionBackwardDataAlgorithm( + args.handle, args.wdesc.desc(), args.odesc.desc(), + args.cdesc.desc(), args.idesc.desc(), + CUDNN_CONVOLUTION_BWD_DATA_SPECIFY_WORKSPACE_LIMIT, + workspace_size_limit, &algo)); +#endif } #else PADDLE_ENFORCE_CUDA_SUCCESS( diff --git a/paddle/fluid/operators/conv_cudnn_op.cu b/paddle/fluid/operators/conv_cudnn_op.cu index 00af724ac7fce64b9a210bf43a150acf20f34dce..f8b76f387cc1954cc4329daf04a6bdcab5c0775f 100644 --- a/paddle/fluid/operators/conv_cudnn_op.cu +++ b/paddle/fluid/operators/conv_cudnn_op.cu @@ -50,8 +50,9 @@ class CUDNNConvOpKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { auto& dev_ctx = ctx.template device_context(); - PADDLE_ENFORCE_EQ(platform::is_gpu_place(ctx.GetPlace()), true, - "It must use CUDAPlace."); + PADDLE_ENFORCE_EQ( + platform::is_gpu_place(ctx.GetPlace()), true, + paddle::platform::errors::PreconditionNotMet("It must use CUDAPlace.")); const Tensor* input = ctx.Input("Input"); auto* filter = ctx.Input("Filter"); auto* output = ctx.Output("Output"); @@ -60,14 +61,16 @@ class CUDNNConvOpKernel : public framework::OpKernel { std::vector paddings = ctx.Attr>("paddings"); std::vector dilations = ctx.Attr>("dilations"); int groups = ctx.Attr("groups"); + bool exhaustive_search = FLAGS_cudnn_exhaustive_search || ctx.Attr("exhaustive_search"); + bool deterministic = FLAGS_cudnn_deterministic; + auto exhaustive_deterministic = exhaustive_search && deterministic; + PADDLE_ENFORCE_EQ(exhaustive_deterministic, false, + platform::errors::InvalidArgument( + "Cann't set exhaustive_search True and " + "FLAGS_cudnn_deterministic True at same time.")); - if (exhaustive_search && FLAGS_cudnn_deterministic) { - PADDLE_THROW( - "Cann't set exhaustive_search True and " - "FLAGS_cudnn_deterministic True at same time."); - } const std::string padding_algorithm = ctx.Attr("padding_algorithm"); const std::string data_format = ctx.Attr("data_format"); @@ -197,7 +200,8 @@ class CUDNNConvOpKernel : public framework::OpKernel { &transformed_input); } break; default: - PADDLE_THROW("ConvOp only support tensors with 4 or 5 dimensions."); + PADDLE_THROW(platform::errors::InvalidArgument( + "ConvOp only support tensors with 4 or 5 dimensions.")); } } else { @@ -317,8 +321,9 @@ class CUDNNConvGradOpKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { auto& dev_ctx = ctx.template device_context(); - PADDLE_ENFORCE_EQ(platform::is_gpu_place(ctx.GetPlace()), true, - "It must use CUDAPlace."); + PADDLE_ENFORCE_EQ( + platform::is_gpu_place(ctx.GetPlace()), true, + paddle::platform::errors::PreconditionNotMet("It must use CUDAPlace.")); auto input = ctx.Input("Input"); auto filter = ctx.Input("Filter"); auto output_grad = ctx.Input(framework::GradVarName("Output")); @@ -337,14 +342,16 @@ class CUDNNConvGradOpKernel : public framework::OpKernel { std::vector paddings = ctx.Attr>("paddings"); std::string padding_algorithm = ctx.Attr("padding_algorithm"); int groups = ctx.Attr("groups"); + bool exhaustive_search = FLAGS_cudnn_exhaustive_search || ctx.Attr("exhaustive_search"); bool deterministic = FLAGS_cudnn_deterministic; - if (exhaustive_search && deterministic) { - PADDLE_THROW( - "Can't set exhaustive_search True and " - "FLAGS_cudnn_deterministic True at same time."); - } + auto exhaustive_deterministic = exhaustive_search && deterministic; + PADDLE_ENFORCE_EQ(exhaustive_deterministic, false, + platform::errors::InvalidArgument( + "Cann't set exhaustive_search True and " + "FLAGS_cudnn_deterministic True at same time.")); + const std::string data_format = ctx.Attr("data_format"); const bool channel_last = (data_format == "NHWC" || data_format == "NDHWC"); @@ -495,7 +502,8 @@ class CUDNNConvGradOpKernel : public framework::OpKernel { &transformed_input); } break; default: - PADDLE_THROW("ConvOp only support tensors with 4 or 5 dimensions."); + PADDLE_THROW(platform::errors::InvalidArgument( + "ConvOp only support tensors with 4 or 5 dimensions.")); } } else { transformed_input.ShareDataWith(transformed_input_channel); @@ -701,8 +709,9 @@ class CUDNNConvDoubleGradOpKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { auto& dev_ctx = ctx.template device_context(); - PADDLE_ENFORCE_EQ(platform::is_gpu_place(ctx.GetPlace()), true, - "It must use CUDAPlace."); + PADDLE_ENFORCE_EQ( + platform::is_gpu_place(ctx.GetPlace()), true, + paddle::platform::errors::PreconditionNotMet("It must use CUDAPlace.")); auto X = ctx.Input("Input"); auto W = ctx.Input("Filter"); auto dO = ctx.Input("DOutput"); @@ -736,14 +745,16 @@ class CUDNNConvDoubleGradOpKernel : public framework::OpKernel { const std::vector& strides = ctx.Attr>("strides"); std::vector dilations = ctx.Attr>("dilations"); int groups = ctx.Attr("groups"); + bool exhaustive_search = FLAGS_cudnn_exhaustive_search || ctx.Attr("exhaustive_search"); bool deterministic = FLAGS_cudnn_deterministic; - if (exhaustive_search && deterministic) { - PADDLE_THROW( - "Can't set exhaustive_search True and " - "FLAGS_cudnn_deterministic True at same time."); - } + auto exhaustive_deterministic = exhaustive_search && deterministic; + PADDLE_ENFORCE_EQ(exhaustive_deterministic, false, + platform::errors::InvalidArgument( + "Cann't set exhaustive_search True and " + "FLAGS_cudnn_deterministic True at same time.")); + std::vector paddings = ctx.Attr>("paddings"); std::string padding_algorithm = ctx.Attr("padding_algorithm"); @@ -878,7 +889,8 @@ class CUDNNConvDoubleGradOpKernel : public framework::OpKernel { } } break; default: - PADDLE_THROW("ConvOp only support tensors with 4 or 5 dimensions."); + PADDLE_THROW(platform::errors::InvalidArgument( + "ConvOp only support tensors with 4 or 5 dimensions.")); } } else { diff --git a/paddle/fluid/operators/conv_op.cc b/paddle/fluid/operators/conv_op.cc index bf97b9d03c455182a8d95b6987896b9a580c84fe..ef8a2b38f20b99f0b1e41ddc1976f88dd8d1f5ab 100644 --- a/paddle/fluid/operators/conv_op.cc +++ b/paddle/fluid/operators/conv_op.cc @@ -166,7 +166,8 @@ framework::OpKernelType ConvOp::GetExpectedKernelType( #endif if (input_data_type != framework::proto::VarType::INT8 && - input_data_type != framework::proto::VarType::UINT8) { + input_data_type != framework::proto::VarType::UINT8 && + input_data_type != framework::proto::VarType::BF16) { auto filter_data_type = ctx.Input("Filter")->type(); PADDLE_ENFORCE_EQ(input_data_type, filter_data_type, platform::errors::InvalidArgument( @@ -455,6 +456,11 @@ void Conv3DOpMaker::Make() { AddAttr("use_mkldnn", "(bool, default false) Only used in mkldnn kernel") .SetDefault(false); + AddAttr( + "mkldnn_data_type", + "(string, default \"float32\"). Data type of mkldnn kernel") + .SetDefault("float32") + .InEnum({"float32", "int8", "bfloat16"}); AddAttr("fuse_relu", "(bool, default false) Only used in mkldnn kernel") .SetDefault(false); AddAttr("fuse_activation", diff --git a/paddle/fluid/operators/conv_op.h b/paddle/fluid/operators/conv_op.h index 8a5345e3cf8d9f1c657fe2996015af4dc038a1bf..662fac9e77e023d2e1b173caa5a9769b56eaf0c4 100644 --- a/paddle/fluid/operators/conv_op.h +++ b/paddle/fluid/operators/conv_op.h @@ -685,8 +685,9 @@ class GemmConvDoubleGradKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { auto& dev_ctx = ctx.template device_context(); - PADDLE_ENFORCE_EQ(platform::is_cpu_place(ctx.GetPlace()), true, - "It must use CPUPlace."); + PADDLE_ENFORCE_EQ( + platform::is_cpu_place(ctx.GetPlace()), true, + paddle::platform::errors::PreconditionNotMet("It must use CPUPlace.")); const Tensor* X = ctx.Input("Input"); const Tensor* dY = ctx.Input("DOutput"); const Tensor* ddX = ctx.Input("DDInput"); @@ -982,11 +983,20 @@ class DepthwiseConvKernel : public framework::OpKernel { PADDLE_ENFORCE_EQ( output->dims()[output->dims().size() - 1] % input->dims()[input->dims().size() - 1], - 0, "The output channels must be a multiple of the input channels"); + 0, platform::errors::InvalidArgument( + "ShapeError: The output channels must be a multiple of the " + "input channels. But receivced output channel number is %d " + "and input channel number is %d", + output->dims()[output->dims().size() - 1], + input->dims()[input->dims().size() - 1])); } else { PADDLE_ENFORCE_EQ( output->dims()[1] % input->dims()[1], 0, - "The output channels must be a multiple of the input channels"); + platform::errors::InvalidArgument( + "ShapeError: The output channels must be a multiple of the " + "input channels. But receivced output channel number is %d " + "and input channel number is %d", + output->dims()[1], input->dims()[1])); } // transform tensor Tensor transformed_input(input->type()); diff --git a/paddle/fluid/operators/conv_transpose_cudnn_op.cu b/paddle/fluid/operators/conv_transpose_cudnn_op.cu index 99ec1e048101b281e71005f6fde328c664ba66be..5249264b1c9bcf13c5ee8227828087659de5254b 100644 --- a/paddle/fluid/operators/conv_transpose_cudnn_op.cu +++ b/paddle/fluid/operators/conv_transpose_cudnn_op.cu @@ -51,8 +51,9 @@ template class CUDNNConvTransposeOpKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { - PADDLE_ENFORCE_EQ(platform::is_gpu_place(ctx.GetPlace()), true, - "It must use CUDAPlace."); + PADDLE_ENFORCE_EQ( + platform::is_gpu_place(ctx.GetPlace()), true, + paddle::platform::errors::PreconditionNotMet("It must use CUDAPlace.")); auto* input = ctx.Input("Input"); auto* filter = ctx.Input("Filter"); auto* output = ctx.Output("Output"); @@ -145,9 +146,8 @@ class CUDNNConvTransposeOpKernel : public framework::OpKernel { ctx, input_pad, input_transpose, pad_value, &transformed_input); } break; default: - PADDLE_ENFORCE_EQ( - rank == 4 || rank == 5, true, - "Op(ConvTranspose) only supports 4-D or 5-D input Tensor."); + PADDLE_THROW(platform::errors::InvalidArgument( + "Op(ConvTranspose) only supports 4-D or 5-D input Tensor.")); } } else { transformed_input = input_transpose; @@ -290,8 +290,9 @@ template class CUDNNConvTransposeGradOpKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { - PADDLE_ENFORCE(platform::is_gpu_place(ctx.GetPlace()), - "It must use CUDAPlace."); + PADDLE_ENFORCE_EQ( + platform::is_gpu_place(ctx.GetPlace()), true, + paddle::platform::errors::PreconditionNotMet("It must use CUDAPlace.")); auto input = ctx.Input("Input"); auto filter = ctx.Input("Filter"); auto output_grad = ctx.Input(framework::GradVarName("Output")); @@ -393,9 +394,8 @@ class CUDNNConvTransposeGradOpKernel : public framework::OpKernel { &transformed_output_grad); } break; default: - PADDLE_ENFORCE_EQ( - rank == 4 || rank == 5, true, - "Op(ConvTranspose) only supports 4-D or 5-D input Tensor."); + PADDLE_THROW(platform::errors::InvalidArgument( + "Op(ConvTranspose) only supports 4-D or 5-D input Tensor.")); } } else { transformed_output_grad = output_grad_transpose; diff --git a/paddle/fluid/operators/conv_transpose_op.h b/paddle/fluid/operators/conv_transpose_op.h index 59b3677acc41658936dc678d9810c923a80bf6e1..1ea869e002af3ac8157321c66616b82517e4fabc 100644 --- a/paddle/fluid/operators/conv_transpose_op.h +++ b/paddle/fluid/operators/conv_transpose_op.h @@ -580,7 +580,12 @@ class DepthwiseConvTransposeKernel : public framework::OpKernel { output->mutable_data(context.GetPlace()); int groups = context.Attr("groups"); - PADDLE_ENFORCE_EQ(groups, filter.dims()[0]); + PADDLE_ENFORCE_EQ( + groups, filter.dims()[0], + platform::errors::InvalidArgument( + "groups should be error to the 1st dimension of filter. But " + "received groups is %d and filter dimension[0] is %d", + groups, filter.dims()[0])); std::vector strides = context.Attr>("strides"); std::vector paddings = context.Attr>("paddings"); @@ -588,7 +593,10 @@ class DepthwiseConvTransposeKernel : public framework::OpKernel { std::string padding_algorithm = context.Attr("padding_algorithm"); for (auto v : dilations) { - PADDLE_ENFORCE_EQ(v, 1); + PADDLE_ENFORCE_EQ(v, 1, platform::errors::InvalidArgument( + "dilations should be 1 in depthwise conv. " + "But received dilations is %d", + v)); } auto in_dims = input->dims(); diff --git a/paddle/fluid/operators/cudnn_lstm_op.cu.cc b/paddle/fluid/operators/cudnn_lstm_op.cu.cc index 6457d9295dcbfa99d18f63fbda3dae048d7713cd..6ac75b78d7058eda4bf3564c184a8b0588a40578 100644 --- a/paddle/fluid/operators/cudnn_lstm_op.cu.cc +++ b/paddle/fluid/operators/cudnn_lstm_op.cu.cc @@ -16,8 +16,13 @@ limitations under the License. */ #include "paddle/fluid/operators/cudnn_lstm_cache.h" #include "paddle/fluid/operators/math/math_function.h" #include "paddle/fluid/operators/utils.h" -#include "paddle/fluid/platform/cudnn_desc.h" -#include "paddle/fluid/platform/cudnn_helper.h" + +namespace paddle { +namespace platform { +class CUDADeviceContext; +struct CUDAPlace; +} // namespace platform +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/delete_var_op.cc b/paddle/fluid/operators/delete_var_op.cc index ec60569be200a4ed09aff046233f9977f47b5195..aa5649e4e9ce29f831f7f88a36c6e0ec70162929 100644 --- a/paddle/fluid/operators/delete_var_op.cc +++ b/paddle/fluid/operators/delete_var_op.cc @@ -12,6 +12,19 @@ limitations under the License. */ #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/operator.h" +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace operators { class DeleteVarOp : public framework::OperatorBase { diff --git a/paddle/fluid/operators/dequantize_abs_max_op.cc b/paddle/fluid/operators/dequantize_abs_max_op.cc index 0d4d68d9f622fef9df4819d6092411a4d7db65f7..c8bca25b6b0f0e34fbfad5c2192faac24bd22ffa 100644 --- a/paddle/fluid/operators/dequantize_abs_max_op.cc +++ b/paddle/fluid/operators/dequantize_abs_max_op.cc @@ -13,8 +13,23 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/dequantize_abs_max_op.h" + #include -#include + +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +} // namespace platform +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/dequantize_abs_max_op.h b/paddle/fluid/operators/dequantize_abs_max_op.h index 796ca93b0008180d602afe8e9c73efa7a749bc66..0d9d20fc120ca43e3127aa6a18abb475bd2af5b4 100644 --- a/paddle/fluid/operators/dequantize_abs_max_op.h +++ b/paddle/fluid/operators/dequantize_abs_max_op.h @@ -15,10 +15,17 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/eigen.h" #include "paddle/fluid/framework/op_registry.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { @@ -35,6 +42,7 @@ class DequantizeMaxAbsKernel : public framework::OpKernel { virtual void Compute(const framework::ExecutionContext& ctx) const { auto* in = ctx.Input("X"); auto* scale = ctx.Input("Scale"); + auto* out = ctx.Output("Out"); float max_range = ctx.Attr("max_range"); diff --git a/paddle/fluid/operators/dequantize_log_op.cc b/paddle/fluid/operators/dequantize_log_op.cc index 2ecd54f7edde63ab5f5256694117cfb15be69384..c12dd9e6d218a251850eb828668a8613fe0ab3b5 100644 --- a/paddle/fluid/operators/dequantize_log_op.cc +++ b/paddle/fluid/operators/dequantize_log_op.cc @@ -13,9 +13,23 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/dequantize_log_op.h" -#include + #include -#include + +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +} // namespace platform +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/dequantize_log_op.h b/paddle/fluid/operators/dequantize_log_op.h index f6590ecf61fe6e4c0ad1b667bb5c712b36a1bc45..67ce9cc84d3a8548e87e6554129f82baae2e2009 100644 --- a/paddle/fluid/operators/dequantize_log_op.h +++ b/paddle/fluid/operators/dequantize_log_op.h @@ -15,9 +15,16 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/op_registry.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/diag_v2_op.cu b/paddle/fluid/operators/diag_v2_op.cu index 4386cc6b8183c03b4d4a19aba7d1126eac2ab495..12ea31945f8d032e1f395c2fb92d9ef31d10c7e8 100644 --- a/paddle/fluid/operators/diag_v2_op.cu +++ b/paddle/fluid/operators/diag_v2_op.cu @@ -13,6 +13,7 @@ See the License for the specific language governing permissions and limitations under the License. */ #include +#include #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/operators/diag_v2_op.h" @@ -58,6 +59,17 @@ class DiagV2CUDAKernel : public framework::OpKernel { auto out_dims = out->dims(); auto& dev_ctx = context.template device_context(); + auto GetBlockGridSize = [&dev_ctx](int64_t size) { + const int64_t block_size = + std::min(size, static_cast(dev_ctx.GetMaxThreadsPerBlock())); + int64_t max_threads = dev_ctx.GetMaxPhysicalThreadCount(); + const int64_t max_blocks = std::max(((max_threads - 1) / block_size + 1), + static_cast(1)); + const int64_t grid_size = + std::min(max_blocks, (size + block_size - 1) / block_size); + return std::tuple{block_size, grid_size}; + }; + if (x_dims.size() == 1) { float padding_value = context.Attr("padding_value"); math::SetConstant set_padding_value; @@ -67,26 +79,23 @@ class DiagV2CUDAKernel : public framework::OpKernel { auto size = (offset > 0) ? x_length + offset : x_length - offset; const int& x_stride = ComputeStride(0, x_dims); if (size > 0) { - const int block_num = std::min(static_cast(size), - dev_ctx.GetMaxPhysicalThreadCount()); - int size_ = static_cast(size); - int block_num_ = static_cast(block_num); - const int grid_num = - std::min(1024, (size_ + block_num_ - 1) / block_num_); const auto& out_stride_0 = ComputeStride(0, out_dims); const auto& out_stride_1 = ComputeStride(1, out_dims); auto start = (offset >= 0 ? offset * out_stride_1 : -offset * out_stride_0); - PasteDiagonalKernel<<>>( - out_data, x_data, start, x_length, out_stride_0 + out_stride_1, - x_stride); + std::tuple block_grid_size = GetBlockGridSize(size); + + PasteDiagonalKernel< + T><<(block_grid_size), std::get<0>(block_grid_size), 0, + dev_ctx.stream()>>>(out_data, x_data, start, x_length, + out_stride_0 + out_stride_1, x_stride); } } else { const int& x_stride_0 = ComputeStride(0, x_dims); const int& x_stride_1 = ComputeStride(1, x_dims); - int size; + int64_t size; if (offset > 0) { size = std::min(x_dims[0], x_dims[1] - offset); } else { @@ -94,18 +103,15 @@ class DiagV2CUDAKernel : public framework::OpKernel { } if (size > 0) { - const int block_num = std::min(static_cast(size), - dev_ctx.GetMaxPhysicalThreadCount()); - int size_ = static_cast(size); - int block_num_ = static_cast(block_num); - const int grid_num = - std::min(1024, (size_ + block_num_ - 1) / block_num_); auto start = (offset >= 0 ? offset * x_stride_1 : -offset * x_stride_0); const auto& out_stride_0 = ComputeStride(0, out_dims); - ExtractDiagonalKernel<<>>( - out_data, x_data, start, size, x_stride_0 + x_stride_1, - out_stride_0); + std::tuple block_grid_size = GetBlockGridSize(size); + + ExtractDiagonalKernel< + T><<(block_grid_size), std::get<0>(block_grid_size), 0, + dev_ctx.stream()>>>(out_data, x_data, start, size, + x_stride_0 + x_stride_1, out_stride_0); } } } diff --git a/paddle/fluid/operators/distributed/async_sparse_param_update_recorder.h b/paddle/fluid/operators/distributed/async_sparse_param_update_recorder.h index eadd842c7f6ead56006fd0c34814b1b7bd9b62f4..cef6590ae21e84d16143e149820cd5ad033808bf 100644 --- a/paddle/fluid/operators/distributed/async_sparse_param_update_recorder.h +++ b/paddle/fluid/operators/distributed/async_sparse_param_update_recorder.h @@ -14,6 +14,7 @@ #pragma once +#include #include #include // NOLINT #include @@ -23,8 +24,6 @@ #include #include -#include - #include "paddle/fluid/platform/enforce.h" namespace paddle { diff --git a/paddle/fluid/operators/distributed/async_sparse_param_update_recorder_test.cc b/paddle/fluid/operators/distributed/async_sparse_param_update_recorder_test.cc index 17d8973303ba6b2ec8d39179e3052d184d44464c..2d78559625c91fadec1fbb282b08e542a07d964a 100644 --- a/paddle/fluid/operators/distributed/async_sparse_param_update_recorder_test.cc +++ b/paddle/fluid/operators/distributed/async_sparse_param_update_recorder_test.cc @@ -13,9 +13,7 @@ // limitations under the License. #include "paddle/fluid/operators/distributed/async_sparse_param_update_recorder.h" - #include - #include "gtest/gtest.h" namespace paddle { diff --git a/paddle/fluid/operators/distributed/collective_client.cc b/paddle/fluid/operators/distributed/collective_client.cc index 6d3f53431113621fc859eda8e7448383772d20a3..fcd3e6abead510393736a9253af2ae1068357a68 100644 --- a/paddle/fluid/operators/distributed/collective_client.cc +++ b/paddle/fluid/operators/distributed/collective_client.cc @@ -12,11 +12,9 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include // NOLINT -#include -#include "gflags/gflags.h" - #include "paddle/fluid/operators/distributed/collective_client.h" +#include +#include "gflags/gflags.h" DECLARE_int32(rpc_deadline); diff --git a/paddle/fluid/operators/distributed/collective_client.h b/paddle/fluid/operators/distributed/collective_client.h index 6a3a450a1fd2e52c341f824f4816ca13784bda85..e7d8bb8df9834728682ea131f3ef0d60786908e5 100644 --- a/paddle/fluid/operators/distributed/collective_client.h +++ b/paddle/fluid/operators/distributed/collective_client.h @@ -15,16 +15,27 @@ #pragma once #include // NOLINT +#include #include #include -#include "gflags/gflags.h" +#include "gflags/gflags.h" #include "paddle/fluid/framework/data_type.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/operators/distributed/distributed.h" #include "paddle/fluid/operators/distributed/request_handler.h" +namespace paddle { +namespace framework { +class Scope; +class SelectedRows; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + DECLARE_int32(rpc_deadline); namespace paddle { diff --git a/paddle/fluid/operators/distributed/collective_server.cc b/paddle/fluid/operators/distributed/collective_server.cc index c95652400c27acd406ca3f70a0dfa8d329e94358..cdd37742d2d5a5a882320cbff1e67a353b4af5f8 100644 --- a/paddle/fluid/operators/distributed/collective_server.cc +++ b/paddle/fluid/operators/distributed/collective_server.cc @@ -12,14 +12,8 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include // for removing the port file -#include -#include -#include -#include // NOLINT -#include - #include "paddle/fluid/operators/distributed/collective_server.h" +#include DEFINE_int32(collective_get_thread_num, 5, "number of threads for rpc get"); diff --git a/paddle/fluid/operators/distributed/collective_server.h b/paddle/fluid/operators/distributed/collective_server.h index 03c688a78e1cbaba4afe4585e619956188a767a1..1015007ba0c566499e3459758cf3a911f661cee0 100644 --- a/paddle/fluid/operators/distributed/collective_server.h +++ b/paddle/fluid/operators/distributed/collective_server.h @@ -15,6 +15,7 @@ limitations under the License. */ #pragma once #include +#include #include #include #include // NOLINT @@ -22,12 +23,17 @@ limitations under the License. */ #include #include "gflags/gflags.h" - #include "paddle/fluid/operators/distributed/distributed.h" #include "paddle/fluid/operators/distributed/request_handler.h" #include "paddle/fluid/operators/distributed/request_handler_impl.h" #include "paddle/fluid/operators/distributed/rpc_server.h" +namespace paddle { +namespace framework { +class Variable; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { namespace distributed { diff --git a/paddle/fluid/operators/distributed/collective_server_test.cc b/paddle/fluid/operators/distributed/collective_server_test.cc index be8c7a7dd40697d4abb8e53215ce09ae6619f18e..92b2eb4b51e59fec0991712ec4f6d6829b76cfb4 100644 --- a/paddle/fluid/operators/distributed/collective_server_test.cc +++ b/paddle/fluid/operators/distributed/collective_server_test.cc @@ -13,22 +13,18 @@ See the License for the specific language governing permissions and limitations under the License. */ #include -#include #include #include -#include // NOLINT #include "gtest/gtest.h" -#include "paddle/fluid/framework/block_desc.h" -#include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/framework/operator.h" -#include "paddle/fluid/framework/tensor_util.h" - #include "paddle/fluid/operators/distributed/collective_client.h" #include "paddle/fluid/operators/distributed/collective_server.h" -#include "paddle/fluid/operators/distributed/distributed.h" -#include "paddle/fluid/operators/distributed/request_handler_impl.h" -#include "paddle/fluid/operators/math/math_function.h" + +namespace paddle { +namespace framework { +class Variable; +} // namespace framework +} // namespace paddle namespace framework = paddle::framework; namespace platform = paddle::platform; diff --git a/paddle/fluid/operators/distributed/communicator.h b/paddle/fluid/operators/distributed/communicator.h index 4a9a9eb1701f5a9102de9de164a7679999ee2a3e..07fd4ed496000d949e11663b7c2b758f9f23587d 100644 --- a/paddle/fluid/operators/distributed/communicator.h +++ b/paddle/fluid/operators/distributed/communicator.h @@ -15,6 +15,7 @@ limitations under the License. */ #pragma once #include +#include #include #include #include @@ -26,8 +27,8 @@ limitations under the License. */ #include #include #include -#include "gflags/gflags.h" +#include "gflags/gflags.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/variable.h" #include "paddle/fluid/framework/variable_helper.h" diff --git a/paddle/fluid/operators/distributed/communicator_test.cc b/paddle/fluid/operators/distributed/communicator_test.cc index b9a6afa4cc351b59e5bd91e483bd654a7aade041..38b7c8b00317e6880434e975438c72ba9248aee2 100644 --- a/paddle/fluid/operators/distributed/communicator_test.cc +++ b/paddle/fluid/operators/distributed/communicator_test.cc @@ -12,11 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include #include -#include -#include -#include #include "paddle/fluid/operators/distributed/communicator.h" diff --git a/paddle/fluid/operators/distributed/grpc/grpc_bytebuffer_stream.cc b/paddle/fluid/operators/distributed/grpc/grpc_bytebuffer_stream.cc index c2cb0d7f04eb67275030e841740f0cdb291d9f87..7d6756b41363d12af68402817cfee1df408b8827 100644 --- a/paddle/fluid/operators/distributed/grpc/grpc_bytebuffer_stream.cc +++ b/paddle/fluid/operators/distributed/grpc/grpc_bytebuffer_stream.cc @@ -19,6 +19,10 @@ limitations under the License. */ #include "paddle/fluid/operators/distributed/grpc/grpc_bytebuffer_stream.h" +namespace grpc { +class ByteBuffer; +} // namespace grpc + namespace paddle { namespace operators { namespace distributed { diff --git a/paddle/fluid/operators/distributed/grpc/grpc_bytebuffer_stream.h b/paddle/fluid/operators/distributed/grpc/grpc_bytebuffer_stream.h index e9074574cdd163bbf7e62939df9283352706f840..486870de7a554e675bb01492e775654bbcb34da3 100644 --- a/paddle/fluid/operators/distributed/grpc/grpc_bytebuffer_stream.h +++ b/paddle/fluid/operators/distributed/grpc/grpc_bytebuffer_stream.h @@ -26,8 +26,12 @@ limitations under the License. */ #include "grpc++/grpc++.h" #include "paddle/fluid/operators/distributed/variable_response.h" +struct grpc_byte_buffer; + namespace grpc { // A ZeroCopyInputStream that reads from grpc_byte_buffer +class ByteBuffer; + class GrpcBufferReader final : public ::google::protobuf::io::ZeroCopyInputStream { typedef void (CoreCodegenInterface::*OldReaderInitAPI)( diff --git a/paddle/fluid/operators/distributed/grpc/grpc_client.h b/paddle/fluid/operators/distributed/grpc/grpc_client.h index c9448c37950c4d05052b3b73ea25b7323b847539..7b269f4d80c6091d91f790fe64c0d47a97b619c1 100644 --- a/paddle/fluid/operators/distributed/grpc/grpc_client.h +++ b/paddle/fluid/operators/distributed/grpc/grpc_client.h @@ -16,7 +16,6 @@ limitations under the License. */ #include #include - #include // NOLINT #include // NOLINT #include @@ -47,6 +46,18 @@ limitations under the License. */ #include "paddle/fluid/operators/distributed/sendrecvop_utils.h" #include "paddle/fluid/platform/macros.h" // for DISABLE_COPY_AND_ASSIGN +namespace grpc { +class Channel; +} // namespace grpc +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace distributed { diff --git a/paddle/fluid/operators/distributed/grpc/grpc_serde.cc b/paddle/fluid/operators/distributed/grpc/grpc_serde.cc index eddd89cf20c2eb91e88d666a6ffe4a045df7298b..0372846ce0debeba6614fd0aac30fd9c1561f763 100644 --- a/paddle/fluid/operators/distributed/grpc/grpc_serde.cc +++ b/paddle/fluid/operators/distributed/grpc/grpc_serde.cc @@ -17,19 +17,26 @@ limitations under the License. */ #endif #include #include -#include // NOLINT - -#include "google/protobuf/io/coded_stream.h" -#include "google/protobuf/io/zero_copy_stream.h" -#include "paddle/fluid/framework/data_type.h" -#include "paddle/fluid/operators/distributed/grpc/grpc_bytebuffer_stream.h" +#include "grpcpp/impl/codegen/byte_buffer.h" +#include "grpcpp/impl/codegen/slice.h" #include "paddle/fluid/operators/distributed/grpc/grpc_serde.h" #include "paddle/fluid/operators/distributed/grpc/grpc_variable_response.h" #include "paddle/fluid/operators/distributed/proto_encoder_helper.h" +#include "paddle/fluid/operators/distributed/send_recv.pb.h" #include "paddle/fluid/operators/distributed/sendrecvop_utils.h" -#include "paddle/fluid/platform/port.h" +#include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/profiler.h" +namespace paddle { +namespace framework { +class Scope; +class Variable; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace distributed { diff --git a/paddle/fluid/operators/distributed/grpc/grpc_serde.h b/paddle/fluid/operators/distributed/grpc/grpc_serde.h index 30e6907656e25bc7bcae77d3bd02638f6bb7601d..932f3e2f069a2bfe1dec9318446e1bf064d2e317 100644 --- a/paddle/fluid/operators/distributed/grpc/grpc_serde.h +++ b/paddle/fluid/operators/distributed/grpc/grpc_serde.h @@ -24,10 +24,22 @@ limitations under the License. */ #include "paddle/fluid/framework/selected_rows.h" #include "paddle/fluid/framework/tensor_util.h" #include "paddle/fluid/framework/var_type.h" +#include "paddle/fluid/operators/distributed/distributed_pb.h" #include "paddle/fluid/operators/distributed/sendrecvop_utils.h" #include "paddle/fluid/platform/port.h" -#include "paddle/fluid/operators/distributed/distributed_pb.h" +namespace grpc { +class ByteBuffer; +} // namespace grpc +namespace paddle { +namespace framework { +class Scope; +class Variable; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/distributed/grpc/grpc_server.cc b/paddle/fluid/operators/distributed/grpc/grpc_server.cc index 5c0232a50a9066f782be5269b4041958748c2e23..47e114ff4b235a39d29f7061c8dbd7db1c9eb09a 100644 --- a/paddle/fluid/operators/distributed/grpc/grpc_server.cc +++ b/paddle/fluid/operators/distributed/grpc/grpc_server.cc @@ -20,6 +20,20 @@ limitations under the License. */ #include "paddle/fluid/operators/distributed/grpc/grpc_serde.h" #include "paddle/fluid/operators/distributed/grpc/grpc_server.h" +namespace grpc { +class ChannelArguments; +} // namespace grpc +namespace paddle { +namespace framework { +class Variable; +} // namespace framework +namespace operators { +namespace distributed { +class GRPCVariableResponse; +} // namespace distributed +} // namespace operators +} // namespace paddle + using ::grpc::ServerAsyncResponseWriter; DECLARE_bool(rpc_disable_reuse_port); diff --git a/paddle/fluid/operators/distributed/grpc/grpc_server.h b/paddle/fluid/operators/distributed/grpc/grpc_server.h index ee6950205b31d9e2d3cd8722daf1c12117a17029..3d68b7e8cebb400680458a1163d52b01f8c8dc2e 100644 --- a/paddle/fluid/operators/distributed/grpc/grpc_server.h +++ b/paddle/fluid/operators/distributed/grpc/grpc_server.h @@ -37,6 +37,10 @@ limitations under the License. */ #include "paddle/fluid/operators/distributed/sendrecvop_utils.h" #include "paddle/fluid/platform/profiler.h" +namespace grpc { +class ServerCompletionQueue; +} // namespace grpc + namespace paddle { namespace operators { namespace distributed { diff --git a/paddle/fluid/operators/distributed/grpc/grpc_variable_response.cc b/paddle/fluid/operators/distributed/grpc/grpc_variable_response.cc index e46d2fbe01c16a8b0cbf402f6ffff4907adf7356..7d7723f19454c0c5c03b26a0737bcc8241c94889 100644 --- a/paddle/fluid/operators/distributed/grpc/grpc_variable_response.cc +++ b/paddle/fluid/operators/distributed/grpc/grpc_variable_response.cc @@ -12,16 +12,29 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include #include #include #include -#ifdef PADDLE_WITH_NCCL -#include -#endif +#include "google/protobuf/io/coded_stream.h" +#include "paddle/fluid/operators/distributed/grpc/grpc_bytebuffer_stream.h" #include "paddle/fluid/operators/distributed/grpc/grpc_variable_response.h" +#include "paddle/fluid/operators/distributed/send_recv.pb.h" +#include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/profiler.h" +namespace google { +namespace protobuf { +namespace io { +class ZeroCopyInputStream; +} // namespace io +} // namespace protobuf +} // namespace google +namespace grpc { +class ByteBuffer; +} // namespace grpc + namespace paddle { namespace operators { namespace distributed { diff --git a/paddle/fluid/operators/distributed/grpc/grpc_variable_response.h b/paddle/fluid/operators/distributed/grpc/grpc_variable_response.h index 3ca1d89f750313791c833a9f1f58760406e690c2..4d12b4a4bacd7ffee6ac7725951b967f7eb2da15 100644 --- a/paddle/fluid/operators/distributed/grpc/grpc_variable_response.h +++ b/paddle/fluid/operators/distributed/grpc/grpc_variable_response.h @@ -16,19 +16,30 @@ #include +#include "google/protobuf/io/coded_stream.h" +#include "google/protobuf/io/zero_copy_stream.h" #include "paddle/fluid/framework/data_type.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/selected_rows.h" -#include "paddle/fluid/framework/var_type.h" - -#include "google/protobuf/io/coded_stream.h" -#include "google/protobuf/io/zero_copy_stream.h" #include "paddle/fluid/framework/tensor.h" +#include "paddle/fluid/framework/var_type.h" #include "paddle/fluid/operators/distributed/distributed_pb.h" #include "paddle/fluid/operators/distributed/grpc/grpc_bytebuffer_stream.h" #include "paddle/fluid/operators/distributed/variable_response.h" +namespace grpc { +class ByteBuffer; +} // namespace grpc +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace distributed { diff --git a/paddle/fluid/operators/distributed/heart_beat_monitor.cc b/paddle/fluid/operators/distributed/heart_beat_monitor.cc index 6736ea4336ba40c077352dac9f7f0ff3660ff3b1..84ba9793c4e00a59081e28dc63506ba2ac995de5 100644 --- a/paddle/fluid/operators/distributed/heart_beat_monitor.cc +++ b/paddle/fluid/operators/distributed/heart_beat_monitor.cc @@ -13,7 +13,7 @@ // limitations under the License. #include "paddle/fluid/operators/distributed/heart_beat_monitor.h" -#include // NOLINT + #include namespace paddle { diff --git a/paddle/fluid/operators/distributed/heart_beat_monitor.h b/paddle/fluid/operators/distributed/heart_beat_monitor.h index 211e40757fc752ecd8846a45fae73db143f481e3..cfef492de0e16dfe75fa0c331ce35a6e9aaf81b5 100644 --- a/paddle/fluid/operators/distributed/heart_beat_monitor.h +++ b/paddle/fluid/operators/distributed/heart_beat_monitor.h @@ -14,21 +14,18 @@ #pragma once +#include #include - #include #include // NOLINT #include #include +#include // NOLINT #include #include #include #include -#include // NOLINT - -#include - #include "paddle/fluid/platform/enforce.h" namespace paddle { diff --git a/paddle/fluid/operators/distributed/heart_beat_monitor_test.cc b/paddle/fluid/operators/distributed/heart_beat_monitor_test.cc index 699c03f6f288919b2e1ab622e9be8283dce4e808..7c2c0fbff11befa353a024241c99b0a7f6144566 100644 --- a/paddle/fluid/operators/distributed/heart_beat_monitor_test.cc +++ b/paddle/fluid/operators/distributed/heart_beat_monitor_test.cc @@ -14,9 +14,6 @@ #include "paddle/fluid/operators/distributed/heart_beat_monitor.h" -#include -#include // NOLINT - #include "gtest/gtest.h" namespace paddle { diff --git a/paddle/fluid/operators/distributed/large_scale_kv.h b/paddle/fluid/operators/distributed/large_scale_kv.h index a936303888369b6eaa529954501d8be54f247c23..52b76b7bfe7d67fc61c52c26bf0763092bfc2e24 100644 --- a/paddle/fluid/operators/distributed/large_scale_kv.h +++ b/paddle/fluid/operators/distributed/large_scale_kv.h @@ -16,7 +16,6 @@ #include #include - #include #include // NOLINT #include diff --git a/paddle/fluid/operators/distributed/parameter_prefetch.cc b/paddle/fluid/operators/distributed/parameter_prefetch.cc index a9378d61c3ca39bd43b558633cc4d04c40175cac..6b33c1f5fcdca85271c3d4110e057523b5415fb6 100644 --- a/paddle/fluid/operators/distributed/parameter_prefetch.cc +++ b/paddle/fluid/operators/distributed/parameter_prefetch.cc @@ -12,30 +12,28 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include +#include "paddle/fluid/operators/distributed/parameter_prefetch.h" #include #include -#include #include #include -#include - -#include "paddle/fluid/operators/distributed/parameter_prefetch.h" - #include "paddle/fluid/framework/lod_tensor.h" -#include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/selected_rows.h" -#include "paddle/fluid/framework/tensor.h" - #include "paddle/fluid/operators/distributed/distributed.h" -#include "paddle/fluid/operators/distributed/rpc_client.h" -#include "paddle/fluid/operators/distributed/variable_response.h" -#include "paddle/fluid/operators/distributed_ops/send_recv_util.h" + +namespace paddle { +namespace framework { +class ExecutionContext; +class Scope; +} // namespace framework +} // namespace paddle namespace paddle { namespace operators { namespace distributed { +class RPCClient; + using LoDTensor = framework::LoDTensor; using LoDTensor = framework::LoDTensor; using SelectedRows = framework::SelectedRows; diff --git a/paddle/fluid/operators/distributed/parameter_prefetch.h b/paddle/fluid/operators/distributed/parameter_prefetch.h index 8605bcdcd86759d5c5b45fdcbb1e68407621fc08..6fd3a998813c0ba32b8b694b6655e1c73f45d62b 100644 --- a/paddle/fluid/operators/distributed/parameter_prefetch.h +++ b/paddle/fluid/operators/distributed/parameter_prefetch.h @@ -20,6 +20,13 @@ #include "paddle/fluid/framework/operator.h" +namespace paddle { +namespace framework { +class ExecutionContext; +class Scope; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { namespace distributed { diff --git a/paddle/fluid/operators/distributed/parameter_recv.cc b/paddle/fluid/operators/distributed/parameter_recv.cc index 3b8479c91b0b619430ebde26b26f0ae6c9fc59cb..51b13bc2c569d0078199e6ede42bfecb2e33148b 100644 --- a/paddle/fluid/operators/distributed/parameter_recv.cc +++ b/paddle/fluid/operators/distributed/parameter_recv.cc @@ -12,29 +12,28 @@ // See the License for the specific language governing permissions and // limitations under the License. +#include #include #include -#include -#include -#include - -#include "paddle/fluid/operators/distributed/parameter_recv.h" +#include "glog/logging.h" +#include "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/selected_rows.h" -#include "paddle/fluid/framework/tensor.h" - +#include "paddle/fluid/operators/distributed/communicator_common.h" #include "paddle/fluid/operators/distributed/distributed.h" -#include "paddle/fluid/operators/distributed/rpc_client.h" -#include "paddle/fluid/operators/distributed/variable_response.h" -#include "paddle/fluid/operators/distributed_ops/send_recv_util.h" -#include "paddle/fluid/operators/strided_memcpy.h" +#include "paddle/fluid/operators/distributed/parameter_recv.h" +#include "paddle/fluid/platform/device_context.h" +#include "paddle/fluid/platform/enforce.h" +#include "paddle/fluid/platform/place.h" namespace paddle { namespace operators { namespace distributed { +class RPCClient; + using LoDTensor = framework::LoDTensor; using LoDTensor = framework::LoDTensor; using SelectedRows = framework::SelectedRows; @@ -176,10 +175,6 @@ void RecvGeoSparseRecords(const CommContext &rpc_ctx, template void RecvLodTensor(const CommContext &rpc_ctx, const framework::Scope &scope) { - platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance(); - auto cpu_place = platform::CPUPlace(); - auto &cpu_ctx = *pool.Get(cpu_place); - distributed::RPCClient *rpc_client = distributed::RPCClient::GetInstance(rpc_ctx.trainer_id); @@ -189,8 +184,13 @@ void RecvLodTensor(const CommContext &rpc_ctx, const framework::Scope &scope) { if (rpc_ctx.origin_varnames.size() == 1 && rpc_ctx.splited_varnames.size() == 1) { auto varname = rpc_ctx.origin_varnames[0]; - VLOG(4) << "recv " << varname << " from " << rpc_ctx.epmap[0]; - rets.push_back(rpc_client->AsyncGetVarNoBarrier(rpc_ctx.epmap[0], cpu_ctx, + const auto place = + scope.FindVar(varname)->Get().place(); + platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance(); + auto &ctx = *pool.Get(place); + VLOG(4) << "recv " << varname << " from " << rpc_ctx.epmap[0] << " in gpu? " + << platform::is_gpu_place(place); + rets.push_back(rpc_client->AsyncGetVarNoBarrier(rpc_ctx.epmap[0], ctx, scope, varname, varname)); for (size_t i = 0; i < rets.size(); i++) { diff --git a/paddle/fluid/operators/distributed/parameter_send.cc b/paddle/fluid/operators/distributed/parameter_send.cc index 545b1f5e803c60f8c68005849336e1d3e4893df7..99af06bc7cc6f83fda0714f6ed13a2afb5641e8e 100644 --- a/paddle/fluid/operators/distributed/parameter_send.cc +++ b/paddle/fluid/operators/distributed/parameter_send.cc @@ -14,26 +14,31 @@ #include "paddle/fluid/operators/distributed/parameter_send.h" #include -#include -#include #include -#include - +#include "glog/logging.h" +#include "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/lod_tensor.h" -#include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/selected_rows.h" -#include "paddle/fluid/framework/tensor.h" - +#include "paddle/fluid/operators/distributed/communicator_common.h" #include "paddle/fluid/operators/distributed/distributed.h" -#include "paddle/fluid/operators/distributed/rpc_client.h" -#include "paddle/fluid/operators/distributed/variable_response.h" -#include "paddle/fluid/operators/distributed_ops/send_recv_util.h" -#include "paddle/fluid/string/printf.h" +#include "paddle/fluid/operators/distributed/request_handler.h" +#include "paddle/fluid/platform/device_context.h" +#include "paddle/fluid/platform/enforce.h" +#include "paddle/fluid/platform/place.h" + +namespace paddle { +namespace framework { +class Scope; +class Tensor; +} // namespace framework +} // namespace paddle namespace paddle { namespace operators { namespace distributed { +class RPCClient; + using LoDTensor = framework::LoDTensor; using LoDTensor = framework::LoDTensor; using SelectedRows = framework::SelectedRows; diff --git a/paddle/fluid/operators/distributed/request_handler_impl.h b/paddle/fluid/operators/distributed/request_handler_impl.h index 42621724e68f40617bebd2b01e2af5dd23387163..6d239673f9104131c3129ea822e5c9f892845ea1 100644 --- a/paddle/fluid/operators/distributed/request_handler_impl.h +++ b/paddle/fluid/operators/distributed/request_handler_impl.h @@ -15,7 +15,6 @@ #pragma once #include - #include #include #include @@ -33,6 +32,13 @@ #include "paddle/fluid/framework/var_type.h" #include "paddle/fluid/operators/distributed/request_handler.h" +namespace paddle { +namespace framework { +class Scope; +class Variable; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { namespace distributed { diff --git a/paddle/fluid/operators/distributed/rpc_client.h b/paddle/fluid/operators/distributed/rpc_client.h index b82589ac30e10a6965e307929085f4f28f2034f5..2c756a6f71ff94e11be634f69d4a2f8e9174d716 100644 --- a/paddle/fluid/operators/distributed/rpc_client.h +++ b/paddle/fluid/operators/distributed/rpc_client.h @@ -17,13 +17,22 @@ #include // NOLINT #include #include -#include "gflags/gflags.h" +#include "gflags/gflags.h" #include "paddle/fluid/framework/data_type.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/operators/distributed/request_handler.h" +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + DECLARE_int32(rpc_deadline); DECLARE_int32(rpc_retry_times); diff --git a/paddle/fluid/operators/distributed/rpc_server.cc b/paddle/fluid/operators/distributed/rpc_server.cc index 691c2c1048f77866fe3e0e6a22cf6a6daebf0040..52b4456f7b1eb904ddf85dc6e8f3088964da444a 100644 --- a/paddle/fluid/operators/distributed/rpc_server.cc +++ b/paddle/fluid/operators/distributed/rpc_server.cc @@ -15,15 +15,23 @@ #include "paddle/fluid/operators/distributed/rpc_server.h" #include -#include -#include #include -#include "paddle/fluid/platform/profiler.h" + +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle namespace paddle { namespace operators { namespace distributed { +class RequestHandler; + void RPCServer::ShutDown() { VLOG(3) << "RPCServer ShutDown "; ShutDownImpl(); diff --git a/paddle/fluid/operators/distributed/rpc_server.h b/paddle/fluid/operators/distributed/rpc_server.h index 8c7b7f1d7eeeced24d2ade2bcff4261b24587624..f83144f626881642e8da2685841881c2bff86390 100644 --- a/paddle/fluid/operators/distributed/rpc_server.h +++ b/paddle/fluid/operators/distributed/rpc_server.h @@ -18,6 +18,7 @@ #include #include #include // NOLINT +#include #include #include @@ -25,10 +26,21 @@ #include "paddle/fluid/operators/distributed/request_handler.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace distributed { +class RequestHandler; + struct MonomerHandle { std::string var_name_; std::string rpc_name_; diff --git a/paddle/fluid/operators/distributed/sendrecvop_utils.cc b/paddle/fluid/operators/distributed/sendrecvop_utils.cc index b52fb93e5bf7fb27faa0ccc4e2fb4b08112ba6b9..2e9d958ebfba6f4211e7af886af22d92487542f1 100644 --- a/paddle/fluid/operators/distributed/sendrecvop_utils.cc +++ b/paddle/fluid/operators/distributed/sendrecvop_utils.cc @@ -11,17 +11,20 @@ distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ - -#ifdef PADDLE_WITH_NCCL -#include -#endif #include -#include // NOLINT -#include "paddle/fluid/framework/data_type.h" #include "paddle/fluid/operators/distributed/sendrecvop_utils.h" -#include "paddle/fluid/operators/distributed/variable_response.h" -#include "paddle/fluid/platform/port.h" + +namespace paddle { +namespace framework { +class Variable; +} // namespace framework +namespace memory { +namespace allocation { +class Allocation; +} // namespace allocation +} // namespace memory +} // namespace paddle DEFINE_bool(rpc_disable_reuse_port, false, "Disable SO_REUSEPORT or not."); DEFINE_int32(rpc_retry_bind_port, 3, diff --git a/paddle/fluid/operators/distributed/sendrecvop_utils.h b/paddle/fluid/operators/distributed/sendrecvop_utils.h index 5457101a5c9f3eb22f76877676f4a8a750a0f914..8a382baa5be7c15a1bd4215ef4702e96e0045f85 100644 --- a/paddle/fluid/operators/distributed/sendrecvop_utils.h +++ b/paddle/fluid/operators/distributed/sendrecvop_utils.h @@ -14,6 +14,7 @@ limitations under the License. */ #pragma once #include +#include #include #include #include @@ -27,6 +28,21 @@ limitations under the License. */ #include "paddle/fluid/operators/distributed/distributed_pb.h" #include "paddle/fluid/platform/port.h" +namespace paddle { +namespace framework { +class Tensor; +class Variable; +} // namespace framework +namespace memory { +namespace allocation { +class Allocation; +} // namespace allocation +} // namespace memory +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace distributed { diff --git a/paddle/fluid/operators/distributed/varhandle_test.cc b/paddle/fluid/operators/distributed/varhandle_test.cc index a0fcaf886475c5e03d959ffd6af22b2123526b9f..7c52ef74b4c2e5e060a2a46ea8c2ebc727f0cbae 100644 --- a/paddle/fluid/operators/distributed/varhandle_test.cc +++ b/paddle/fluid/operators/distributed/varhandle_test.cc @@ -12,11 +12,6 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include -#include -#include // NOLINT - -#include "google/protobuf/text_format.h" #include "gtest/gtest.h" #include "paddle/fluid/operators/distributed/request_handler.h" diff --git a/paddle/fluid/operators/distributed/variable_response.h b/paddle/fluid/operators/distributed/variable_response.h index d979cd8a881ec7d697eae06b4911d597730b6908..be67a2396f7d713aad3b6bc46210cd9345d3dc55 100644 --- a/paddle/fluid/operators/distributed/variable_response.h +++ b/paddle/fluid/operators/distributed/variable_response.h @@ -16,17 +16,33 @@ #include +#include "google/protobuf/io/coded_stream.h" +#include "google/protobuf/io/zero_copy_stream.h" #include "paddle/fluid/framework/data_type.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/selected_rows.h" -#include "paddle/fluid/framework/var_type.h" - -#include "google/protobuf/io/coded_stream.h" -#include "google/protobuf/io/zero_copy_stream.h" #include "paddle/fluid/framework/tensor.h" +#include "paddle/fluid/framework/var_type.h" #include "paddle/fluid/operators/distributed/distributed_pb.h" +namespace google { +namespace protobuf { +namespace io { +class CodedInputStream; +class ZeroCopyInputStream; +} // namespace io +} // namespace protobuf +} // namespace google +namespace paddle { +namespace framework { +class Variable; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + DECLARE_string(rpc_server_profile_path); namespace paddle { diff --git a/paddle/fluid/operators/distributed_ops/checkpoint_notify_op.cc b/paddle/fluid/operators/distributed_ops/checkpoint_notify_op.cc index 62fd72b335b9211586362a38c159408a7662eb0f..051d9d65c7714ac13afa1d49f5584fad7bcaa789 100644 --- a/paddle/fluid/operators/distributed_ops/checkpoint_notify_op.cc +++ b/paddle/fluid/operators/distributed_ops/checkpoint_notify_op.cc @@ -9,15 +9,21 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include // NOLINT -#include - -#include "paddle/fluid/framework/data_type.h" -#include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/operators/distributed/distributed.h" -#include "paddle/fluid/operators/distributed_ops/send_recv_util.h" -#include "paddle/fluid/string/printf.h" + +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/distributed_ops/fetch_barrier_op.cc b/paddle/fluid/operators/distributed_ops/fetch_barrier_op.cc index c9f9daf3b3c0442e379cd7a22fcf48dbe3acbb5d..755cbf017d9d4be5e4d75024e29b09beecf53db4 100644 --- a/paddle/fluid/operators/distributed_ops/fetch_barrier_op.cc +++ b/paddle/fluid/operators/distributed_ops/fetch_barrier_op.cc @@ -12,19 +12,29 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include // NOLINT -#include - -#include "paddle/fluid/framework/data_type.h" -#include "paddle/fluid/framework/framework.pb.h" -#include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/operators/distributed/distributed.h" -#include "paddle/fluid/platform/profiler.h" + +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle namespace paddle { namespace operators { +namespace distributed { +class RPCClient; +} // namespace distributed + class FetchBarrierOp : public framework::OperatorBase { public: FetchBarrierOp(const std::string& type, diff --git a/paddle/fluid/operators/distributed_ops/fl_listen_and_serv_op.h b/paddle/fluid/operators/distributed_ops/fl_listen_and_serv_op.h index 1199a63d16a4ecddf04eef468aea42d147608783..25ad16e3fce37837838af5360f79b9bece337373 100644 --- a/paddle/fluid/operators/distributed_ops/fl_listen_and_serv_op.h +++ b/paddle/fluid/operators/distributed_ops/fl_listen_and_serv_op.h @@ -31,9 +31,25 @@ limitations under the License. */ #include "paddle/fluid/operators/distributed/rpc_server.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +class Executor; +class ProgramDesc; +class Scope; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { +namespace distributed { +class RPCServer; +class RequestHandler; +} // namespace distributed + constexpr char kOptimizeBlocks[] = "optimize_blocks"; void FlRunServer(std::shared_ptr service); diff --git a/paddle/fluid/operators/distributed_ops/gen_nccl_id_op.cc b/paddle/fluid/operators/distributed_ops/gen_nccl_id_op.cc index e63f882478351cde16bde969b86e020181d6d4e5..db8c2f3f2d8660b0390cb35d76b2ef800c631788 100644 --- a/paddle/fluid/operators/distributed_ops/gen_nccl_id_op.cc +++ b/paddle/fluid/operators/distributed_ops/gen_nccl_id_op.cc @@ -12,18 +12,24 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include -#include #include #include +#include "glog/logging.h" #include "paddle/fluid/framework/executor.h" -#include "paddle/fluid/framework/lod_tensor.h" +#include "paddle/fluid/framework/op_proto_maker.h" #include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/framework/threadpool.h" +#include "paddle/fluid/framework/operator.h" +#include "paddle/fluid/framework/program_desc.h" +#include "paddle/fluid/framework/scope.h" +#include "paddle/fluid/framework/var_type_traits.h" #include "paddle/fluid/operators/distributed/distributed.h" +#include "paddle/fluid/operators/distributed/request_handler.h" #include "paddle/fluid/operators/distributed/request_handler_impl.h" -#include "paddle/fluid/platform/nccl_helper.h" +#include "paddle/fluid/operators/distributed/rpc_client.h" +#include "paddle/fluid/platform/device_context.h" +#include "paddle/fluid/platform/enforce.h" +#include "paddle/fluid/platform/place.h" namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/distributed_ops/listen_and_serv_op.h b/paddle/fluid/operators/distributed_ops/listen_and_serv_op.h index b41e4e87722f638e6661a5116ebdfbc02c32710f..bacfd32cc739193a18317cb7d57c16953a4b5c84 100644 --- a/paddle/fluid/operators/distributed_ops/listen_and_serv_op.h +++ b/paddle/fluid/operators/distributed_ops/listen_and_serv_op.h @@ -31,9 +31,25 @@ limitations under the License. */ #include "paddle/fluid/operators/distributed/rpc_server.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +class Executor; +class ProgramDesc; +class Scope; +} // namespace framework +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { +namespace distributed { +class RPCServer; +class RequestHandler; +} // namespace distributed + constexpr char kOptimizeBlocks[] = "optimize_blocks"; constexpr char kPrefetchVarNameToBlockId[] = "prefetch_var_name_to_block_id"; constexpr char kCheckpointBlockId[] = "checkpint_block_id"; diff --git a/paddle/fluid/operators/distributed_ops/prefetch_op.cc b/paddle/fluid/operators/distributed_ops/prefetch_op.cc index 6037ab1523ec347574db4b18aa1de732acbd3336..007dbbbfbf5105b052598c9454dfcdc15319d658 100644 --- a/paddle/fluid/operators/distributed_ops/prefetch_op.cc +++ b/paddle/fluid/operators/distributed_ops/prefetch_op.cc @@ -12,18 +12,29 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include // NOLINT -#include - -#include "paddle/fluid/framework/data_type.h" -#include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/operators/distributed/distributed.h" -#include "paddle/fluid/operators/distributed_ops/send_recv_util.h" + +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle namespace paddle { namespace operators { +namespace distributed { +class RPCClient; +} // namespace distributed + class PrefetchOp : public framework::OperatorBase { public: PrefetchOp(const std::string& type, const framework::VariableNameMap& inputs, diff --git a/paddle/fluid/operators/distributed_ops/recv_op.cc b/paddle/fluid/operators/distributed_ops/recv_op.cc index 2547ba3acb16031245ceae622e11893597bb9b9b..9729d0dadd7ed8e68056e7c87437944425efdfe0 100644 --- a/paddle/fluid/operators/distributed_ops/recv_op.cc +++ b/paddle/fluid/operators/distributed_ops/recv_op.cc @@ -12,22 +12,30 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include // NOLINT -#include - -#include "paddle/fluid/framework/data_type.h" -#include "paddle/fluid/framework/framework.pb.h" -#include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/operators/distributed/communicator.h" -#include "paddle/fluid/operators/distributed/communicator_common.h" #include "paddle/fluid/operators/distributed/distributed.h" -#include "paddle/fluid/operators/distributed/parameter_recv.h" -#include "paddle/fluid/platform/profiler.h" + +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle namespace paddle { namespace operators { +namespace distributed { +class RPCClient; +} // namespace distributed + class RecvOp : public framework::OperatorBase { public: RecvOp(const std::string &type, const framework::VariableNameMap &inputs, diff --git a/paddle/fluid/operators/distributed_ops/ref_by_trainer_id_op.cc b/paddle/fluid/operators/distributed_ops/ref_by_trainer_id_op.cc index befdf4e938850cad4180d3d7a66cc67ea1b2e810..4727b3bb249de8a49b6955d581109e6eee3e3f8b 100644 --- a/paddle/fluid/operators/distributed_ops/ref_by_trainer_id_op.cc +++ b/paddle/fluid/operators/distributed_ops/ref_by_trainer_id_op.cc @@ -13,8 +13,21 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/distributed_ops/ref_by_trainer_id_op.h" + #include +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/distributed_ops/ref_by_trainer_id_op.h b/paddle/fluid/operators/distributed_ops/ref_by_trainer_id_op.h index 43dd9c3c98a0ab454a8114d8cdf58606db0684a4..d8639627c3ef66d3d5a9be86a1c6ada640efc533 100644 --- a/paddle/fluid/operators/distributed_ops/ref_by_trainer_id_op.h +++ b/paddle/fluid/operators/distributed_ops/ref_by_trainer_id_op.h @@ -15,6 +15,7 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/framework/op_registry.h" namespace paddle { diff --git a/paddle/fluid/operators/distributed_ops/send_barrier_op.cc b/paddle/fluid/operators/distributed_ops/send_barrier_op.cc index a8e9379d214d8f85fd9847fa79046275fe595a18..5aa2ba26aa4d6eef73e52ea64041d57c24ec47c1 100644 --- a/paddle/fluid/operators/distributed_ops/send_barrier_op.cc +++ b/paddle/fluid/operators/distributed_ops/send_barrier_op.cc @@ -12,20 +12,29 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include // NOLINT -#include - -#include "paddle/fluid/framework/data_type.h" -#include "paddle/fluid/framework/framework.pb.h" -#include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/operators/distributed/distributed.h" -#include "paddle/fluid/platform/profiler.h" +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle namespace paddle { namespace operators { +namespace distributed { +class RPCClient; +} // namespace distributed + class SendBarrierOp : public framework::OperatorBase { public: SendBarrierOp(const std::string& type, diff --git a/paddle/fluid/operators/distributed_ops/send_op.cc b/paddle/fluid/operators/distributed_ops/send_op.cc index 53e3d70f960938bed77cba4112e22692dd7ed87b..a4192c18afae50033b40490e5a831a184caaa1b3 100644 --- a/paddle/fluid/operators/distributed_ops/send_op.cc +++ b/paddle/fluid/operators/distributed_ops/send_op.cc @@ -12,23 +12,29 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include // NOLINT -#include - -#include "paddle/fluid/framework/blocking_queue.h" -#include "paddle/fluid/framework/data_type.h" -#include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/operators/distributed/communicator.h" -#include "paddle/fluid/operators/distributed/communicator_common.h" #include "paddle/fluid/operators/distributed/distributed.h" -#include "paddle/fluid/operators/distributed/parameter_send.h" -#include "paddle/fluid/operators/distributed_ops/send_recv_util.h" -#include "paddle/fluid/platform/profiler.h" + +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle namespace paddle { namespace operators { +namespace distributed { +class RPCClient; +} // namespace distributed + class SendOp : public framework::OperatorBase { public: SendOp(const std::string& type, const framework::VariableNameMap& inputs, diff --git a/paddle/fluid/operators/elementwise/elementwise_add_op.cc b/paddle/fluid/operators/elementwise/elementwise_add_op.cc index 97624944ca109f27322f151f0742c72447fd5c39..68a98e7c6bc2a7cd405a6d1bc4448c0f084d0f0f 100644 --- a/paddle/fluid/operators/elementwise/elementwise_add_op.cc +++ b/paddle/fluid/operators/elementwise/elementwise_add_op.cc @@ -20,6 +20,19 @@ limitations under the License. */ #include "paddle/fluid/framework/op_version_registry.h" #include "paddle/fluid/operators/elementwise/elementwise_op.h" +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/elementwise/elementwise_add_op.h b/paddle/fluid/operators/elementwise/elementwise_add_op.h index 152f20273a1820e709f562d2c72b6cbc7e29dfb0..c4efc4ab72d6308d89220ef9e49ad2240b2ddef2 100644 --- a/paddle/fluid/operators/elementwise/elementwise_add_op.h +++ b/paddle/fluid/operators/elementwise/elementwise_add_op.h @@ -17,6 +17,7 @@ limitations under the License. */ #include "paddle/fluid/operators/elementwise/elementwise_op_function.cu.h" #include "paddle/fluid/operators/elementwise/elementwise_op_function.h" #include "paddle/fluid/operators/math/blas.h" + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/elementwise/elementwise_add_op_xpu.cc b/paddle/fluid/operators/elementwise/elementwise_add_op_xpu.cc new file mode 100644 index 0000000000000000000000000000000000000000..9ff7a71d7f03a4e91cea42926f23c7b270857ba9 --- /dev/null +++ b/paddle/fluid/operators/elementwise/elementwise_add_op_xpu.cc @@ -0,0 +1,162 @@ +/* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#ifdef PADDLE_WITH_XPU +#include "paddle/fluid/operators/elementwise/elementwise_add_op.h" +#include +#include +#include "paddle/fluid/operators/elementwise/elementwise_op.h" + +#include "paddle/fluid/operators/elementwise/elementwise_xpu.h" + +namespace paddle { +namespace operators { + +template +class ElementwiseAddXPUKernel : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext &ctx) const override { + XPUElementwise>(ctx); + } +}; + +template +class ElementwiseAddGradXPUKernel : public ElemwiseGradKernel { + public: + void Compute(const framework::ExecutionContext &ctx) const override { + ElemwiseGradKernel::Compute(ctx); + using Tensor = framework::Tensor; + + auto *dout = ctx.Input(framework::GradVarName("Out")); + auto *dx = ctx.Output(framework::GradVarName("X")); + auto *dy = ctx.Output(framework::GradVarName("Y")); + + auto dx_dims = dout->dims(); + auto dy_dims_untrimed = dout->dims(); + T *dx_data = NULL; + T *dy_data = NULL; + + int axis = ctx.Attr("axis"); + PADDLE_ENFORCE_GE(dx_dims.size(), dy_dims_untrimed.size(), + "Rank of first input must >= rank of second input."); + + if (dx != nullptr) { + dx->mutable_data(ctx.GetPlace()); + dx_dims = dx->dims(); + dx_data = dx->data(); + } + + if (dy != nullptr) { + dy->mutable_data(ctx.GetPlace()); + dy_dims_untrimed = dy->dims(); + dy_data = dy->data(); + } + + int pre, n, post, is_common_broadcast; + if (dx_dims == dy_dims_untrimed) { + pre = post = 1; + n = dout->numel(); + } else { + axis = (axis == -1 ? dx_dims.size() - dy_dims_untrimed.size() : axis); + PADDLE_ENFORCE(axis >= 0 && axis < dx_dims.size(), + "Axis should be in range [0, dx_dims)"); + auto dy_dims = trim_trailing_singular_dims(dy_dims_untrimed); + axis = (dy_dims.size() == 0) ? dx_dims.size() : axis; + get_mid_dims(dx_dims, dy_dims, axis, &pre, &n, &post, + &is_common_broadcast); + } + int len = pre * n * post; + + auto &dev_ctx = + ctx.template device_context(); + if (post == 1) { + int r = xpu::matrix_vector_add_grad( + dev_ctx.x_context(), dout->data(), dout->data(), + dout->data(), dout->data(), dx_data, dy_data, pre, n); + PADDLE_ENFORCE_EQ( + r, XPU_SUCCESS, + platform::errors::External( + "XPU API return wrong value[%d], please check whether " + "Baidu Kunlun Card is properly installed.", + r)); + return; + } + + if (dx == nullptr) { + PADDLE_ENFORCE_EQ( + xpu_malloc(reinterpret_cast(&dx_data), len * sizeof(float)), + XPU_SUCCESS, platform::errors::External("XPU has no enough memory")); + } + + if (dy == nullptr) { + PADDLE_ENFORCE_EQ( + xpu_malloc(reinterpret_cast(&dy_data), len * sizeof(float)), + XPU_SUCCESS, platform::errors::External("XPU has no enough memory")); + } else { + if (len != n) { + PADDLE_ENFORCE_EQ(xpu_malloc(reinterpret_cast(&dy_data), + len * sizeof(float)), + XPU_SUCCESS, platform::errors::External( + "XPU has no enough memory")); + } + } + + int r = xpu::elementwise_add_grad( + dev_ctx.x_context(), dout->data() /*x*/, dout->data() /*y*/, + dout->data() /*out*/, dout->data(), dx_data, dy_data, len); + PADDLE_ENFORCE_EQ( + r, XPU_SUCCESS, + platform::errors::External( + "XPU API return wrong value[%d], please check whether " + "Baidu Kunlun Card is properly installed.", + r)); + + if ((dy != nullptr) && (len != n)) { + r = xpu::reduce_ew(dev_ctx.x_context(), dy_data, dy->data(), pre, n, + post, xpu::ElementwiseOp::ASSIGN); + PADDLE_ENFORCE_EQ( + r, XPU_SUCCESS, + platform::errors::External( + "XPU API return wrong value[%d], please check whether " + "Baidu Kunlun Card is properly installed.", + r)); + dev_ctx.Wait(); + xpu_free(dy_data); + } + + if ((dx == nullptr || dy == nullptr) && !(dy != nullptr && len != n)) { + dev_ctx.Wait(); + } + + if (dx == nullptr) { + xpu_free(dx_data); + } + if (dy == nullptr) { + xpu_free(dy_data); + } + } +}; + +} // namespace operators +} // namespace paddle + +namespace ops = paddle::operators; + +REGISTER_OP_XPU_KERNEL( + elementwise_add, + ops::ElementwiseAddXPUKernel); +REGISTER_OP_XPU_KERNEL(elementwise_add_grad, + ops::ElementwiseAddGradXPUKernel< + paddle::platform::XPUDeviceContext, float>); +#endif diff --git a/paddle/fluid/operators/elementwise/elementwise_floordiv_op.cc b/paddle/fluid/operators/elementwise/elementwise_floordiv_op.cc index 5a398fa50febe2efffd588ce8f3612f1f9cec0b6..ddd69203fd316b41cd4b2b3077df6f4ac12f1a64 100644 --- a/paddle/fluid/operators/elementwise/elementwise_floordiv_op.cc +++ b/paddle/fluid/operators/elementwise/elementwise_floordiv_op.cc @@ -13,9 +13,26 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/elementwise/elementwise_floordiv_op.h" + #include + #include "paddle/fluid/operators/elementwise/elementwise_op.h" +namespace paddle { +namespace framework { +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { class ElementwiseFloorDivOpMaker : public ElementwiseOpMaker { diff --git a/paddle/fluid/operators/elementwise/elementwise_max_op.cc b/paddle/fluid/operators/elementwise/elementwise_max_op.cc index 692bc015c5b6fc47502b37412a2be2d90237c672..be6a63305475e9e44bcb0499b6438bdc3354677a 100644 --- a/paddle/fluid/operators/elementwise/elementwise_max_op.cc +++ b/paddle/fluid/operators/elementwise/elementwise_max_op.cc @@ -13,10 +13,24 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/elementwise/elementwise_max_op.h" -#include + #include + #include "paddle/fluid/operators/elementwise/elementwise_op.h" +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/elementwise/elementwise_min_op.cc b/paddle/fluid/operators/elementwise/elementwise_min_op.cc index 1b2364a5a53d1817d18dccfe7363f2e37be5b1b7..bd40763e05a281e4042c3193b8fb763b9aea8909 100644 --- a/paddle/fluid/operators/elementwise/elementwise_min_op.cc +++ b/paddle/fluid/operators/elementwise/elementwise_min_op.cc @@ -13,10 +13,24 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/elementwise/elementwise_min_op.h" -#include + #include + #include "paddle/fluid/operators/elementwise/elementwise_op.h" +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/elementwise/elementwise_min_op.h b/paddle/fluid/operators/elementwise/elementwise_min_op.h index 1a49a6013987ae1ec685ec91ca656e4756ba7c32..5a3e7f90f3c3dbee093c17fd4c5cf863ad1f4d24 100644 --- a/paddle/fluid/operators/elementwise/elementwise_min_op.h +++ b/paddle/fluid/operators/elementwise/elementwise_min_op.h @@ -16,6 +16,7 @@ limitations under the License. */ #include "paddle/fluid/operators/elementwise/elementwise_op.h" #include "paddle/fluid/operators/elementwise/elementwise_op_function.h" + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/elementwise/elementwise_mod_op.cc b/paddle/fluid/operators/elementwise/elementwise_mod_op.cc index 8c2e62bed195f27e228d5dd460ba21ed87c3f5d2..d8ad0a353c9cbebe7b40e70e5e2f293f38931376 100644 --- a/paddle/fluid/operators/elementwise/elementwise_mod_op.cc +++ b/paddle/fluid/operators/elementwise/elementwise_mod_op.cc @@ -13,9 +13,26 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/elementwise/elementwise_mod_op.h" + #include + #include "paddle/fluid/operators/elementwise/elementwise_op.h" +namespace paddle { +namespace framework { +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { class ElementwiseModOpMaker : public ElementwiseOpMaker { diff --git a/paddle/fluid/operators/elementwise/elementwise_pow_op.cc b/paddle/fluid/operators/elementwise/elementwise_pow_op.cc index 1321eee8457173cd310b8ff66092386641d631fc..ea0e8e7c0138770fb45b12411f9acac9ce97777e 100644 --- a/paddle/fluid/operators/elementwise/elementwise_pow_op.cc +++ b/paddle/fluid/operators/elementwise/elementwise_pow_op.cc @@ -10,10 +10,24 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/elementwise/elementwise_pow_op.h" -#include + #include + #include "paddle/fluid/operators/elementwise/elementwise_op.h" +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/elementwise/elementwise_pow_op.h b/paddle/fluid/operators/elementwise/elementwise_pow_op.h index a910c326196bc61758c3be7db3b8ac5d85b0095c..535d838209d0e418554d7f6facc932af6fff6185 100755 --- a/paddle/fluid/operators/elementwise/elementwise_pow_op.h +++ b/paddle/fluid/operators/elementwise/elementwise_pow_op.h @@ -13,6 +13,7 @@ limitations under the License. */ #include #include + #include "paddle/fluid/operators/elementwise/elementwise_op.h" #include "paddle/fluid/operators/elementwise/elementwise_op_function.h" diff --git a/paddle/fluid/operators/elementwise/elementwise_sub_op.cc b/paddle/fluid/operators/elementwise/elementwise_sub_op.cc index 9603b022d5d8c4672219b7199d1bfe4fb6bfe3e9..90f4ebb99ec7d7be09ab4129fd89391be1037b1c 100644 --- a/paddle/fluid/operators/elementwise/elementwise_sub_op.cc +++ b/paddle/fluid/operators/elementwise/elementwise_sub_op.cc @@ -13,10 +13,24 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/elementwise/elementwise_sub_op.h" -#include + #include + #include "paddle/fluid/operators/elementwise/elementwise_op.h" +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/elementwise/elementwise_xpu.h b/paddle/fluid/operators/elementwise/elementwise_xpu.h new file mode 100644 index 0000000000000000000000000000000000000000..53c4332e9190de131b48d68c30b84b035ec66e67 --- /dev/null +++ b/paddle/fluid/operators/elementwise/elementwise_xpu.h @@ -0,0 +1,113 @@ +/* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ +#pragma once +#ifdef PADDLE_WITH_XPU +#include "paddle/fluid/framework/tensor.h" +#include "paddle/fluid/platform/place.h" + +namespace paddle { +namespace operators { + +template +struct XPUAddFunctor { + int operator()(xpu::Context* ctx, const T* x, const T* y, T* z, int len) { + return xpu::elementwise_add(ctx, x, y, z, len); + } +}; + +template +struct XPUMulFunctor { + int operator()(xpu::Context* ctx, const T* x, const T* y, T* z, int len) { + return xpu::elementwise_mul(ctx, x, y, z, len); + } +}; + +template +void XPUElementwise(const framework::ExecutionContext& ctx) { + PADDLE_ENFORCE(platform::is_xpu_place(ctx.GetPlace()), + "This kernel only runs on XPU device."); + auto x_var = ctx.InputVar("X"); + PADDLE_ENFORCE_NE(x_var, nullptr, + platform::errors::Fatal("Cannot get input Variable X")); + PADDLE_ENFORCE(x_var->IsType(), + "XPU only support LoDTensor"); + + auto x = x_var->Get(); + auto* y = ctx.Input("Y"); + auto* z = ctx.Output("Out"); + z->mutable_data(ctx.GetPlace()); + + int axis = ctx.Attr("axis"); + auto x_dims = x.dims(); + auto y_dims_untrimed = y->dims(); + PADDLE_ENFORCE_GE(x_dims.size(), y_dims_untrimed.size(), + "Rank of first input must >= rank of second input."); + axis = (axis == -1 ? x_dims.size() - y_dims_untrimed.size() : axis); + PADDLE_ENFORCE(axis >= 0 && axis < x_dims.size(), + "Axis should be in range [0, x_dims)"); + auto y_dims = trim_trailing_singular_dims(y_dims_untrimed); + axis = (y_dims.size() == 0) ? x_dims.size() : axis; + int pre, n, post, is_common_broadcast; + get_mid_dims(x_dims, y_dims, axis, &pre, &n, &post, &is_common_broadcast); + int len = pre * n * post; + + const T* x_data = x.data(); + const T* y_data = y->data(); + T* z_data = z->data(); + T* y_broadcast = nullptr; + + auto& dev_ctx = + ctx.template device_context(); + + if (post == 1) { + if (std::is_same>::value) { + int res = xpu::matrix_vector_add(dev_ctx.x_context(), x_data, y_data, + z_data, pre, n); + PADDLE_ENFORCE(res == xpu::Error_t::SUCCESS, "XPU kernel error! res = %d", + res); + return; + } + if (std::is_same>::value) { + int res = xpu::matrix_vector_mul(dev_ctx.x_context(), x_data, y_data, + z_data, pre, n); + PADDLE_ENFORCE(res == xpu::Error_t::SUCCESS, "XPU kernel error! res = %d", + res); + return; + } + } + + if (pre != 1 || post != 1) { + PADDLE_ENFORCE(xpu_malloc(reinterpret_cast(&y_broadcast), + len * sizeof(T)) == XPU_SUCCESS); + int res = xpu::broadcast_ew(dev_ctx.x_context(), y_data, y_broadcast, pre, + n, post, xpu::ElementwiseOp::ASSIGN); + PADDLE_ENFORCE(res == xpu::Error_t::SUCCESS, "XPU kernel error! res = %d", + res); + y_data = y_broadcast; + } + + Functor functor; + int res = functor(dev_ctx.x_context(), x_data, y_data, z_data, len); + PADDLE_ENFORCE(res == xpu::Error_t::SUCCESS, "XPU kernel error! res = %d", + res); + + if (pre != 1 || post != 1) { + dev_ctx.Wait(); + xpu_free(y_broadcast); + } +} + +} // namespace operators +} // namespace paddle +#endif diff --git a/paddle/fluid/operators/elementwise/mkldnn/elementwise_add_mkldnn_op.cc b/paddle/fluid/operators/elementwise/mkldnn/elementwise_add_mkldnn_op.cc index caaaf2c931de04e9e489130eae0491d450cd2dab..3dcf5bf6a32fadef88df647d898e237a6dcbe34c 100644 --- a/paddle/fluid/operators/elementwise/mkldnn/elementwise_add_mkldnn_op.cc +++ b/paddle/fluid/operators/elementwise/mkldnn/elementwise_add_mkldnn_op.cc @@ -14,6 +14,16 @@ #include "paddle/fluid/operators/elementwise/mkldnn/elementwise_mkldnn_op.h" +namespace paddle { +namespace framework { +class ExecutionContext; +} // namespace framework +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { template diff --git a/paddle/fluid/operators/elementwise/test_elementwise_add_grad_grad.cc b/paddle/fluid/operators/elementwise/test_elementwise_add_grad_grad.cc index be8b8d6c2f7c0d70c997b4759ffb6a6943491192..15c31a4cece5c538e35f25565a85a9b6b32f5c30 100644 --- a/paddle/fluid/operators/elementwise/test_elementwise_add_grad_grad.cc +++ b/paddle/fluid/operators/elementwise/test_elementwise_add_grad_grad.cc @@ -12,20 +12,10 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include -#include -#include -#include -#include -#include #include "gtest/gtest.h" -#include "paddle/fluid/framework/lod_tensor.h" +#include "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/framework/operator.h" -#include "paddle/fluid/framework/scope.h" #include "paddle/fluid/operators/elementwise/test_elementwise_op_grad_grad.h" -#include "paddle/fluid/platform/device_context.h" -#include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/place.h" USE_OP(elementwise_add); diff --git a/paddle/fluid/operators/elementwise/test_elementwise_add_op_inplace.cc b/paddle/fluid/operators/elementwise/test_elementwise_add_op_inplace.cc index 6ec8f2c2355ee098aed4a6b92410bcc60bca4736..cf9e9dbb04b03902ae9f96809d084b9126f15f94 100644 --- a/paddle/fluid/operators/elementwise/test_elementwise_add_op_inplace.cc +++ b/paddle/fluid/operators/elementwise/test_elementwise_add_op_inplace.cc @@ -12,14 +12,11 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include -#include -#include #include + #include "gtest/gtest.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/framework/operator.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/operators/enqueue_op.cc b/paddle/fluid/operators/enqueue_op.cc index 9b367a72fb5f4c46366323497bbf6ca0cc167cbb..a7920488f2e05618bddb302f38f391ae4eb838bd 100644 --- a/paddle/fluid/operators/enqueue_op.cc +++ b/paddle/fluid/operators/enqueue_op.cc @@ -13,13 +13,24 @@ // limitations under the License. #include -#include + #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/operator.h" -#include "paddle/fluid/framework/var_type.h" +#include "paddle/fluid/framework/var_type_traits.h" #include "paddle/fluid/operators/reader/lod_tensor_blocking_queue.h" +namespace paddle { +namespace framework { +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + using LoDTensor = paddle::framework::LoDTensor; using LoDTensorBlockingQueueHolder = paddle::operators::reader::LoDTensorBlockingQueueHolder; diff --git a/paddle/fluid/operators/eye_op.h b/paddle/fluid/operators/eye_op.h index 0eefe7d2163bb967596480f2427b995a6a87ff6e..d5ad27596d6ba399a88059cb18d83933e8171ea2 100644 --- a/paddle/fluid/operators/eye_op.h +++ b/paddle/fluid/operators/eye_op.h @@ -51,7 +51,7 @@ class EyeKernel : public framework::OpKernel { auto& dev_ctx = ctx.template device_context(); set_zero(dev_ctx, out_tensor, static_cast(0)); - int64_t num_eyes = std::min(num_rows, num_columns); + int64_t num_eyes = (std::min)(num_rows, num_columns); platform::ForRange for_range(dev_ctx, num_eyes); EyeFunctor functor(num_columns, out_data); for_range(functor); diff --git a/paddle/fluid/operators/fused/conv_fusion_op.cu b/paddle/fluid/operators/fused/conv_fusion_op.cu index b22f28fbbe3ce8ce178a3d9c17a048817cb750e7..49fded886a0339a0456ee55d0d4d1249461f93b9 100644 --- a/paddle/fluid/operators/fused/conv_fusion_op.cu +++ b/paddle/fluid/operators/fused/conv_fusion_op.cu @@ -204,6 +204,7 @@ class CUDNNConvFusionOpKernel : public framework::OpKernel { auto x_dims = framework::vectorize(transformed_input.dims()); auto f_dims = framework::vectorize(filter->dims()); if (!exhaustive_search) { +#if CUDNN_VERSION >= 8000 int perf_count; int best_algo_idx = 0; size_t tmp_size = 0; @@ -215,13 +216,20 @@ class CUDNNConvFusionOpKernel : public framework::OpKernel { cudnn_output_desc, kNUM_CUDNN_FWD_ALGS, &perf_count, perf_results.get())); algo = (perf_results.get())[best_algo_idx].algo; - VLOG(3) << "cuDNN forward algo " << algo; PADDLE_ENFORCE_CUDA_SUCCESS( platform::dynload::cudnnGetConvolutionForwardWorkspaceSize( handle, cudnn_input_desc, cudnn_filter_desc, cudnn_conv_desc, cudnn_output_desc, algo, &workspace_size_in_bytes)); if (workspace_size_in_bytes > workspace_size_limit) workspace_size_limit = workspace_size_in_bytes; +#else + PADDLE_ENFORCE_CUDA_SUCCESS( + platform::dynload::cudnnGetConvolutionForwardAlgorithm( + handle, cudnn_input_desc, cudnn_filter_desc, cudnn_conv_desc, + cudnn_output_desc, CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT, + workspace_size_limit, &algo)); + VLOG(3) << "cuDNN forward algo " << algo; +#endif } else { std::function search_func = [&]() -> cudnnConvolutionFwdAlgo_t { diff --git a/paddle/fluid/operators/fused/fusion_transpose_flatten_concat_op.cu.cc b/paddle/fluid/operators/fused/fusion_transpose_flatten_concat_op.cu.cc index 17cb4556d45ef3adee2adc0d2f19ea048e096982..37a442a78157166764b786215d97e11d661df894 100644 --- a/paddle/fluid/operators/fused/fusion_transpose_flatten_concat_op.cu.cc +++ b/paddle/fluid/operators/fused/fusion_transpose_flatten_concat_op.cu.cc @@ -13,10 +13,15 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/fused/fusion_transpose_flatten_concat_op.h" -#include #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/platform/cudnn_helper.h" +namespace paddle { +namespace platform { +struct CUDAPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/gather_test.cc b/paddle/fluid/operators/gather_test.cc index f6b156eb30dae154395b34dcfc26319cd89edbca..ea1fa813928daed1f661834c766e8cb2a362986f 100644 --- a/paddle/fluid/operators/gather_test.cc +++ b/paddle/fluid/operators/gather_test.cc @@ -13,10 +13,7 @@ See the License for the specific language governing permissions and limitations under the License. */ #include -#include -#include -#include "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/operators/gather.h" #include "paddle/fluid/platform/place.h" diff --git a/paddle/fluid/operators/grid_sampler_cudnn_op.cu.cc b/paddle/fluid/operators/grid_sampler_cudnn_op.cu.cc index 93f9e108723fbd56e0d3bf5d439614c2c20bb393..f0903bdfce9206981b13b9a1b61ca3eedf3195a0 100644 --- a/paddle/fluid/operators/grid_sampler_cudnn_op.cu.cc +++ b/paddle/fluid/operators/grid_sampler_cudnn_op.cu.cc @@ -15,6 +15,12 @@ limitations under the License. */ #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/platform/cudnn_helper.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/gru_op.cu.cc b/paddle/fluid/operators/gru_op.cu.cc index ba918b3def22e3c60c4155f77ecbaad85d520928..bdc5debaea790c740f2e133b66e2cfb9e334dc3e 100644 --- a/paddle/fluid/operators/gru_op.cu.cc +++ b/paddle/fluid/operators/gru_op.cu.cc @@ -14,6 +14,13 @@ limitations under the License. */ #include "paddle/fluid/operators/gru_op.h" +namespace paddle { +namespace platform { +class CUDADeviceContext; +struct CUDAPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/hash_op.cc b/paddle/fluid/operators/hash_op.cc index b6017a6eafc03921883e9427732cf0c2c769bcab..47b480c11c28f265e74c2ef6c103e71f642eed2f 100644 --- a/paddle/fluid/operators/hash_op.cc +++ b/paddle/fluid/operators/hash_op.cc @@ -13,8 +13,24 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/hash_op.h" + #include +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/hash_op.h b/paddle/fluid/operators/hash_op.h index c2d530004912287b0720ab5d00da90c4e1b5cbc7..b5b3f3de70c280c7c135ad55793b1b64c608233d 100644 --- a/paddle/fluid/operators/hash_op.h +++ b/paddle/fluid/operators/hash_op.h @@ -18,6 +18,7 @@ extern "C" { #include } #include + #include "paddle/fluid/framework/eigen.h" #include "paddle/fluid/framework/op_registry.h" diff --git a/paddle/fluid/operators/increment_op.cc b/paddle/fluid/operators/increment_op.cc index b4f33dad927222869af3b99bee1368699982c1a4..e8edfb99f9f306d7057afcdf935cad5a5e4a73d6 100644 --- a/paddle/fluid/operators/increment_op.cc +++ b/paddle/fluid/operators/increment_op.cc @@ -13,9 +13,23 @@ // limitations under the License. #include "paddle/fluid/operators/increment_op.h" -#include + #include +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/instance_norm_op.cc b/paddle/fluid/operators/instance_norm_op.cc index a5b270c1dfef14bc92697c29bfeafa0fe08211d7..03279a9b2c15b8d918333fd61c07ed636f11d889 100644 --- a/paddle/fluid/operators/instance_norm_op.cc +++ b/paddle/fluid/operators/instance_norm_op.cc @@ -520,11 +520,11 @@ class InstanceNormDoubleGradKernel // (np.mean(dy, axis=(h,w)) - dy) + inv_var.pow(3) / HxW * // np.sum(dy, // axis=(h,w)) * (x - mean) * - // (np.mean(ddx, axis=(h,w)) - ddx) + ddr * (dy * inv_var - inv_var - // * + // (np.mean(ddx, axis=(h,w)) - ddx)) + ddr * (dy * inv_var - + // inv_var * // np.mean(dy, axis=(h,w)) - // inv_var.pow(3) * (x - mean) * np.mean(dy * (x - mean), - // axis=(h,w)))) + // axis=(h,w))) Tensor x_sub_mean_mul_invstd; x_sub_mean_mul_invstd.Resize({sample_size, NxC}); diff --git a/paddle/fluid/operators/isfinite_op.cc b/paddle/fluid/operators/isfinite_op.cc index 9b92ce3e538aa660dedda67de0cabaa4adbdc8c7..1ac1c26796cf360e40e56bbe24d0217ae9d4cc36 100644 --- a/paddle/fluid/operators/isfinite_op.cc +++ b/paddle/fluid/operators/isfinite_op.cc @@ -13,8 +13,24 @@ // limitations under the License. #include "paddle/fluid/operators/isfinite_op.h" + #include -#include + +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/isfinite_op.h b/paddle/fluid/operators/isfinite_op.h index 2fc0d58669bae428d811c7200e025f36f087b905..a54134910d0b86eac19ec2d1217cbcc2dab23212 100644 --- a/paddle/fluid/operators/isfinite_op.h +++ b/paddle/fluid/operators/isfinite_op.h @@ -15,12 +15,19 @@ #pragma once #include + #include "paddle/fluid/framework/eigen.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/tensor_util.h" #include "paddle/fluid/platform/float16.h" #include "paddle/fluid/platform/transform.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/isfinite_v2_op.cc b/paddle/fluid/operators/isfinite_v2_op.cc index 72da43e3bc63c1c585fe19d703892c23ce7b0ec2..fcbb4c5bf6a0b32e403672a1f40b4c8141bc84e3 100644 --- a/paddle/fluid/operators/isfinite_v2_op.cc +++ b/paddle/fluid/operators/isfinite_v2_op.cc @@ -13,10 +13,31 @@ // limitations under the License. #include "paddle/fluid/operators/isfinite_v2_op.h" + #include -#include + #include "paddle/fluid/operators/common_infer_shape_functions.h" -#include "paddle/fluid/platform/float16.h" + +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace operators { +template +class OverflowKernel; +} // namespace operators +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +struct float16; +} // namespace platform +} // namespace paddle namespace plat = paddle::platform; diff --git a/paddle/fluid/operators/isfinite_v2_op.h b/paddle/fluid/operators/isfinite_v2_op.h index 9f0aa63ce80248ee9f7839890f611b9d5293789e..332c50d75513f80cc2b042e513f36c13a3244ccf 100644 --- a/paddle/fluid/operators/isfinite_v2_op.h +++ b/paddle/fluid/operators/isfinite_v2_op.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/framework/eigen.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/tensor_util.h" @@ -22,6 +23,12 @@ #include "paddle/fluid/platform/float16.h" #include "paddle/fluid/platform/transform.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/jit/benchmark.cc b/paddle/fluid/operators/jit/benchmark.cc index 898f27f9afef9ca13a9f24ab1b61a50f745d40f7..d65cdc6c150ec6b9e5e4ed3e469069b3beffc819 100644 --- a/paddle/fluid/operators/jit/benchmark.cc +++ b/paddle/fluid/operators/jit/benchmark.cc @@ -136,7 +136,6 @@ void BenchAllImpls(const typename KernelTuple::attr_type& attr, Args... args) { } using Tensor = paddle::framework::Tensor; - template void BenchKernelXYZN() { using T = typename KernelTuple::data_type; @@ -320,8 +319,15 @@ void BenchKernelSgd() { const T lr = 0.1; auto UnDuplicatedRandomVec = [](int n, const int64_t lower, const int64_t upper) -> std::vector { - PADDLE_ENFORCE_LE(static_cast(upper - lower), n - 1); - PADDLE_ENFORCE_GT(n, 0); + PADDLE_ENFORCE_LE( + static_cast(upper - lower), n - 1, + paddle::platform::errors::InvalidArgument( + "The range of Sgd (upper - lower) should be equal to or lower " + "than n-1 (Sgd size -1). But upper - lower is %d and n-1 is %d.", + static_cast(upper - lower), (n - 1))); + PADDLE_ENFORCE_GT( + n, 0, paddle::platform::errors::InvalidArgument( + "The Sgd size should be larger than 0. But the n is %d.", n)); std::vector all, out; for (int i = 0; i < n; ++i) { all.push_back(i); diff --git a/paddle/fluid/operators/jit/gen/act.h b/paddle/fluid/operators/jit/gen/act.h index 585196e939c3d2bb30d33189411c06e459d655fe..cd360caa39b4da483cdf50abab49d8658a309f0d 100644 --- a/paddle/fluid/operators/jit/gen/act.h +++ b/paddle/fluid/operators/jit/gen/act.h @@ -15,6 +15,7 @@ #pragma once #include + #include "glog/logging.h" #include "paddle/fluid/operators/jit/gen/jitcode.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/operators/jit/gen/blas.h b/paddle/fluid/operators/jit/gen/blas.h index ff4a13a367994c1d08c4681bc64da4fcbfe143d7..d3d9eddd2ee78f61652ab392decb75ca0bf8f5d9 100644 --- a/paddle/fluid/operators/jit/gen/blas.h +++ b/paddle/fluid/operators/jit/gen/blas.h @@ -15,6 +15,7 @@ #pragma once #include + #include "glog/logging.h" #include "paddle/fluid/operators/jit/gen/jitcode.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/operators/jit/gen/embseqpool.cc b/paddle/fluid/operators/jit/gen/embseqpool.cc index 331a4b0d0753b37843c3d112256abfbabe9a4913..c549fec0970cb235bed77105c4297669c163c5e7 100644 --- a/paddle/fluid/operators/jit/gen/embseqpool.cc +++ b/paddle/fluid/operators/jit/gen/embseqpool.cc @@ -13,10 +13,11 @@ * limitations under the License. */ #include "paddle/fluid/operators/jit/gen/embseqpool.h" + #include // offsetof #include #include -#include "paddle/fluid/operators/jit/gen/act.h" // for exp_float_consts ones + #include "paddle/fluid/operators/jit/registry.h" #include "paddle/fluid/platform/cpu_info.h" @@ -131,11 +132,31 @@ class EmbSeqPoolCreator : public JitCodeCreator { } std::unique_ptr CreateJitCode( const emb_seq_pool_attr_t& attr) const override { - PADDLE_ENFORCE_GT(attr.table_height, 0); - PADDLE_ENFORCE_GT(attr.table_width, 0); - PADDLE_ENFORCE_GT(attr.index_height, 0); - PADDLE_ENFORCE_GT(attr.index_width, 0); - PADDLE_ENFORCE_GT(attr.out_width, 0); + PADDLE_ENFORCE_GT(attr.table_height, 0, + platform::errors::InvalidArgument( + "The attribute table_height of EmbSeqPool should " + "be larger than 0. But it is %d.", + attr.table_height)); + PADDLE_ENFORCE_GT(attr.table_width, 0, + platform::errors::InvalidArgument( + "The attribute table_width of EmbSeqPool should " + "be larger than 0. But it is %d.", + attr.table_width)); + PADDLE_ENFORCE_GT(attr.index_height, 0, + platform::errors::InvalidArgument( + "The attribute index_height of EmbSeqPool should " + "be larger than 0. But it is %d.", + attr.index_height)); + PADDLE_ENFORCE_GT(attr.index_width, 0, + platform::errors::InvalidArgument( + "The attribute index_width of EmbSeqPool should " + "be larger than 0. But it is %d.", + attr.index_width)); + PADDLE_ENFORCE_GT(attr.out_width, 0, + platform::errors::InvalidArgument( + "The attribute out_width of EmbSeqPool should be " + "larger than 0. But it is %d.", + attr.out_width)); return make_unique(attr, CodeSize(attr)); } }; diff --git a/paddle/fluid/operators/jit/gen/embseqpool.h b/paddle/fluid/operators/jit/gen/embseqpool.h index 67a393509523da5e4e34a233d501cc5bc0d11cd8..8353e5846f7811d00b492a6708c68d62a7c990ce 100644 --- a/paddle/fluid/operators/jit/gen/embseqpool.h +++ b/paddle/fluid/operators/jit/gen/embseqpool.h @@ -15,6 +15,7 @@ #pragma once #include + #include "glog/logging.h" #include "paddle/fluid/operators/jit/gen/jitcode.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/operators/jit/gen/gru.cc b/paddle/fluid/operators/jit/gen/gru.cc index b5b0cffa80612c61829766027013f172962b5069..fbdf49d5d585f718bef608abb8eed12a34b90897 100644 --- a/paddle/fluid/operators/jit/gen/gru.cc +++ b/paddle/fluid/operators/jit/gen/gru.cc @@ -13,8 +13,10 @@ * limitations under the License. */ #include "paddle/fluid/operators/jit/gen/gru.h" + #include // offsetof #include + #include "paddle/fluid/operators/jit/registry.h" #include "paddle/fluid/platform/cpu_info.h" diff --git a/paddle/fluid/operators/jit/gen/gru.h b/paddle/fluid/operators/jit/gen/gru.h index e047a65cb4b1e3ef7fd2368c5b94c360a79eb666..588d11820b20e92091d391303d61dc6a0a8bf968 100644 --- a/paddle/fluid/operators/jit/gen/gru.h +++ b/paddle/fluid/operators/jit/gen/gru.h @@ -15,6 +15,7 @@ #pragma once #include + #include "glog/logging.h" #include "paddle/fluid/operators/jit/gen/act.h" #include "paddle/fluid/operators/jit/gen/jitcode.h" diff --git a/paddle/fluid/operators/jit/gen/hopv.h b/paddle/fluid/operators/jit/gen/hopv.h index 575dec68a582deb15ae240ae8b4d6cd409403649..113c66a2558aac061062ee7f477b613fd70b8251 100644 --- a/paddle/fluid/operators/jit/gen/hopv.h +++ b/paddle/fluid/operators/jit/gen/hopv.h @@ -15,6 +15,7 @@ #pragma once #include + #include "glog/logging.h" #include "paddle/fluid/operators/jit/gen/jitcode.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/operators/jit/gen/lstm.cc b/paddle/fluid/operators/jit/gen/lstm.cc index 2c3bc985e9a8b224835d848d30e0a3ef641ed2f9..211dfc5ecad3cec1f9269c6298912c57483f5c80 100644 --- a/paddle/fluid/operators/jit/gen/lstm.cc +++ b/paddle/fluid/operators/jit/gen/lstm.cc @@ -13,8 +13,10 @@ * limitations under the License. */ #include "paddle/fluid/operators/jit/gen/lstm.h" + #include // offsetof #include + #include "paddle/fluid/operators/jit/registry.h" #include "paddle/fluid/platform/cpu_info.h" diff --git a/paddle/fluid/operators/jit/gen/lstm.h b/paddle/fluid/operators/jit/gen/lstm.h index 6f232906569fd0f0783f1a1a16421eefdd36f3c2..c980670d482c48641491c094a92602438c31ff55 100644 --- a/paddle/fluid/operators/jit/gen/lstm.h +++ b/paddle/fluid/operators/jit/gen/lstm.h @@ -15,6 +15,7 @@ #pragma once #include + #include "glog/logging.h" #include "paddle/fluid/operators/jit/gen/act.h" #include "paddle/fluid/operators/jit/gen/jitcode.h" diff --git a/paddle/fluid/operators/jit/gen/matmul.cc b/paddle/fluid/operators/jit/gen/matmul.cc index 3a455334f588da40cc39a153414658a8a68c9f38..3139b252cadbc37d6ffbe2af023bd5e836f15ab7 100644 --- a/paddle/fluid/operators/jit/gen/matmul.cc +++ b/paddle/fluid/operators/jit/gen/matmul.cc @@ -13,9 +13,10 @@ * limitations under the License. */ #include "paddle/fluid/operators/jit/gen/matmul.h" + #include // offsetof #include -#include + #include "paddle/fluid/operators/jit/registry.h" #include "paddle/fluid/platform/cpu_info.h" @@ -28,7 +29,11 @@ void MatMulJitCode::genCode() { preCode(); int block, rest; const auto groups = packed_groups(n_, k_, &block, &rest); - PADDLE_ENFORCE_GT(groups.front(), 0); + PADDLE_ENFORCE_GT( + groups.front(), 0, + platform::errors::InvalidArgument("The number of rest registers should " + "be larger than 0. But it is %d.", + groups.front())); const int block_len = sizeof(float) * block; const int x_reg_idx = (block == ZMM_FLOAT_BLOCK ? 32 : 16) - 1; @@ -117,9 +122,21 @@ class MatMulCreator : public JitCodeCreator { } std::unique_ptr CreateJitCode( const matmul_attr_t& attr) const override { - PADDLE_ENFORCE_GT(attr.m, 0); - PADDLE_ENFORCE_GT(attr.n, 0); - PADDLE_ENFORCE_GT(attr.k, 0); + PADDLE_ENFORCE_GT( + attr.m, 0, platform::errors::InvalidArgument( + "The attribute m (first matrix's row) of MatMul should " + "be larger than 0. But it is %d.", + attr.m)); + PADDLE_ENFORCE_GT( + attr.n, 0, platform::errors::InvalidArgument( + "The attribute n (first matrix's col) of MatMul should " + "be larger than 0. But it is %d.", + attr.n)); + PADDLE_ENFORCE_GT( + attr.k, 0, platform::errors::InvalidArgument( + "The attribute k (second matrix's col) of MatMul should " + "be larger than 0. But it is %d.", + attr.k)); return make_unique(attr, CodeSize(attr)); } }; diff --git a/paddle/fluid/operators/jit/gen/matmul.h b/paddle/fluid/operators/jit/gen/matmul.h index 881cea581acc27a7aa7d395c041d40a4d3281947..eb7328d7e069cf05a22ec1ecee70f36280e6d231 100644 --- a/paddle/fluid/operators/jit/gen/matmul.h +++ b/paddle/fluid/operators/jit/gen/matmul.h @@ -17,6 +17,7 @@ #include // for malloc and free #include #include + #include "glog/logging.h" #include "paddle/fluid/operators/jit/gen/jitcode.h" #include "paddle/fluid/platform/enforce.h" @@ -32,7 +33,10 @@ class MatMulJitCode : public JitCode { size_t code_size = 256 * 1024, void* code_ptr = nullptr) : JitCode(code_size, code_ptr), m_(attr.m), n_(attr.n), k_(attr.k) { - PADDLE_ENFORCE_EQ(m_, 1, "Only support m==1 yet"); + PADDLE_ENFORCE_EQ(m_, 1, platform::errors::Unimplemented( + "Jitcode of matmul only support m==1 (first " + "matrix's row) now. But m is %d.", + m_)); this->genCode(); } diff --git a/paddle/fluid/operators/jit/gen/seqpool.cc b/paddle/fluid/operators/jit/gen/seqpool.cc index ec8e4e9827441bc0a817c6da455cb9e530c8c1bf..d8c7b3cdb7b1f36125b76feab19ab4369d491219 100644 --- a/paddle/fluid/operators/jit/gen/seqpool.cc +++ b/paddle/fluid/operators/jit/gen/seqpool.cc @@ -70,8 +70,14 @@ class SeqPoolCreator : public JitCodeCreator { } std::unique_ptr CreateJitCode( const seq_pool_attr_t& attr) const override { - PADDLE_ENFORCE_GT(attr.w, 0); - PADDLE_ENFORCE_GT(attr.h, 0); + PADDLE_ENFORCE_GT(attr.w, 0, platform::errors::InvalidArgument( + "The attribute width of SeqPool should " + "be larger than 0. But it is %d.", + attr.w)); + PADDLE_ENFORCE_GT(attr.h, 0, platform::errors::InvalidArgument( + "The attribute height of SeqPool should " + "be larger than 0. But it is %d.", + attr.h)); return make_unique(attr, CodeSize(attr)); } }; diff --git a/paddle/fluid/operators/jit/gen/seqpool.h b/paddle/fluid/operators/jit/gen/seqpool.h index a0f1bb8299ab8a087150540945a1e49bac8d301d..d4e7b2e29ce22705c0ef7320495f55483d9bfef1 100644 --- a/paddle/fluid/operators/jit/gen/seqpool.h +++ b/paddle/fluid/operators/jit/gen/seqpool.h @@ -15,6 +15,7 @@ #pragma once #include + #include "glog/logging.h" #include "paddle/fluid/operators/jit/gen/jitcode.h" #include "paddle/fluid/platform/enforce.h" @@ -126,8 +127,13 @@ class SeqPoolJitCode : public JitCode { vmovss(xmm_t(reg_idx + max_num_regs), ptr[reg_ptr_src_i]); reg_idx++; } - PADDLE_ENFORCE_EQ(reg_idx, rest_used_num_regs, - "All heights should use same regs"); + PADDLE_ENFORCE_EQ( + reg_idx, rest_used_num_regs, + platform::errors::InvalidArgument( + "All heights of SeqPool should use the same number of registers." + "It equals to the numbr of rest registers. But use %d registers " + "and the numbr of rest registers is %d.", + reg_idx, rest_used_num_regs)); for (int i = 0; i < reg_idx; ++i) { vaddps(xmm_t(i), xmm_t(i), xmm_t(i + max_num_regs)); } diff --git a/paddle/fluid/operators/jit/gen/sgd.cc b/paddle/fluid/operators/jit/gen/sgd.cc index 40f8298af39826ef3823e837f57c8e4e6209cd53..7fe93fdb6a51a811a6e60ba5af31d9a91aadd336 100644 --- a/paddle/fluid/operators/jit/gen/sgd.cc +++ b/paddle/fluid/operators/jit/gen/sgd.cc @@ -13,9 +13,10 @@ * limitations under the License. */ #include "paddle/fluid/operators/jit/gen/sgd.h" + #include // offsetof #include -#include + #include "paddle/fluid/operators/jit/registry.h" #include "paddle/fluid/platform/cpu_info.h" @@ -115,9 +116,24 @@ class SgdCreator : public JitCodeCreator { size_t CodeSize(const sgd_attr_t& attr) const override { return 96 + 32 * 8; } std::unique_ptr CreateJitCode( const sgd_attr_t& attr) const override { - PADDLE_ENFORCE_EQ(attr.param_width, attr.grad_width); - PADDLE_ENFORCE_LE(attr.selected_rows_size, attr.grad_height); - PADDLE_ENFORCE_GE(attr.selected_rows_size, 0); + PADDLE_ENFORCE_EQ(attr.param_width, attr.grad_width, + platform::errors::InvalidArgument( + "The attribute param_width of Sgd should be " + "equal to the attribute grad_width. But param_width " + "is %d and grad_width is %d.", + attr.param_width, attr.grad_width)); + PADDLE_ENFORCE_LE(attr.selected_rows_size, attr.grad_height, + platform::errors::InvalidArgument( + "The attribute selected_rows_size of Sgd should be " + "equal to or less than the attribute grad_height. " + "But selected_rows_size is %d and grad_height is %d.", + attr.selected_rows_size, attr.grad_height)); + PADDLE_ENFORCE_GE( + attr.selected_rows_size, 0, + platform::errors::InvalidArgument( + "The attribute selected_rows_size of Sgd should be " + "equal to or larger than 0. But selected_rows_size is %d.", + attr.selected_rows_size)); return make_unique(attr, CodeSize(attr)); } }; diff --git a/paddle/fluid/operators/jit/gen/sgd.h b/paddle/fluid/operators/jit/gen/sgd.h index 80b1809bbbfd32d1d12a5f6bddd45a51026bdb57..403d97b8fec7c44b9ed39f043bbad4349b5fe1d7 100644 --- a/paddle/fluid/operators/jit/gen/sgd.h +++ b/paddle/fluid/operators/jit/gen/sgd.h @@ -15,6 +15,7 @@ #pragma once #include + #include "glog/logging.h" #include "paddle/fluid/operators/jit/gen/jitcode.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/operators/jit/gen/vbroadcast.cc b/paddle/fluid/operators/jit/gen/vbroadcast.cc index 66a8d75fd4de5bae3ba37cf7fe7b1645938aa855..4084d68c2a840812358ec13f33d99fbb1f592c9f 100644 --- a/paddle/fluid/operators/jit/gen/vbroadcast.cc +++ b/paddle/fluid/operators/jit/gen/vbroadcast.cc @@ -76,7 +76,11 @@ class VBroadcastCreator : public JitCodeCreator { return 96 + (w / YMM_FLOAT_BLOCK) * 16 * 8; } std::unique_ptr CreateJitCode(const int64_t& w) const override { - PADDLE_ENFORCE_GT(w, 0); + PADDLE_ENFORCE_GT( + w, 0, + platform::errors::InvalidArgument( + "The width of VBroadcast should be larger than 0. But w is %d.", + w)); return make_unique(w, CodeSize(w)); } }; diff --git a/paddle/fluid/operators/jit/gen/vbroadcast.h b/paddle/fluid/operators/jit/gen/vbroadcast.h index 27c75f6f710e9514c7d91181e7f447d9dd997081..7d30fe5751bd462fcb5e0824e913d6f4f0b89a66 100644 --- a/paddle/fluid/operators/jit/gen/vbroadcast.h +++ b/paddle/fluid/operators/jit/gen/vbroadcast.h @@ -15,6 +15,7 @@ #pragma once #include + #include "glog/logging.h" #include "paddle/fluid/operators/jit/gen/jitcode.h" diff --git a/paddle/fluid/operators/jit/gen_base.cc b/paddle/fluid/operators/jit/gen_base.cc index 4c49eff49e3efc0664a084f9fa2bb897db0c6f1d..2ae71256cddcb172edb24488d559fe788e99ada5 100644 --- a/paddle/fluid/operators/jit/gen_base.cc +++ b/paddle/fluid/operators/jit/gen_base.cc @@ -49,9 +49,14 @@ void GenBase::dumpCode(const unsigned char* code) const { void* GenBase::operator new(size_t size) { void* ptr; constexpr size_t alignment = 32ul; - PADDLE_ENFORCE_EQ(posix_memalign(&ptr, alignment, size), 0, - "GenBase Alloc %ld error!", size); - PADDLE_ENFORCE(ptr, "Fail to allocate GenBase CPU memory: size = %d .", size); + PADDLE_ENFORCE_EQ( + posix_memalign(&ptr, alignment, size), 0, + platform::errors::InvalidArgument( + "Jitcode generator (GenBase) allocate %ld memory error!", size)); + PADDLE_ENFORCE_NOT_NULL(ptr, platform::errors::InvalidArgument( + "Fail to allocate jitcode generator " + "(GenBase) CPU memory: size = %d .", + size)); return ptr; } diff --git a/paddle/fluid/operators/jit/gen_base.h b/paddle/fluid/operators/jit/gen_base.h index 033c603c07c288ba621ceaa912ea0c476fe86cd6..27b857634155c9b31768c5187f214f72b9a0112d 100644 --- a/paddle/fluid/operators/jit/gen_base.h +++ b/paddle/fluid/operators/jit/gen_base.h @@ -18,6 +18,7 @@ #include // for unique_ptr #include #include + #include "paddle/fluid/operators/jit/kernel_base.h" DECLARE_bool(dump_jitcode); diff --git a/paddle/fluid/operators/jit/helper.cc b/paddle/fluid/operators/jit/helper.cc index 2952cdb87146ec01a366abaf332ce1099c425966..c66e8092d5e4221767100c94174210af24a43abc 100644 --- a/paddle/fluid/operators/jit/helper.cc +++ b/paddle/fluid/operators/jit/helper.cc @@ -66,7 +66,8 @@ const char* to_string(KernelType kt) { ONE_CASE(kEmbSeqPool); ONE_CASE(kSgd); default: - PADDLE_THROW("Not support type: %d, or forget to add it.", kt); + PADDLE_THROW(platform::errors::Unimplemented( + "JIT kernel do not support type: %d.", kt)); return "NOT JITKernel"; } return nullptr; @@ -79,7 +80,8 @@ const char* to_string(SeqPoolType tp) { ONE_CASE(kAvg); ONE_CASE(kSqrt); default: - PADDLE_THROW("Not support type: %d, or forget to add it.", tp); + PADDLE_THROW(platform::errors::Unimplemented( + "SeqPool JIT kernel do not support type: %d.", tp)); return "NOT PoolType"; } return nullptr; @@ -100,7 +102,8 @@ KernelType to_kerneltype(const std::string& act) { } else if (lower == "tanh" || lower == "vtanh") { return kVTanh; } - PADDLE_THROW("Not support type: %s, or forget to add this case", act); + PADDLE_THROW(platform::errors::Unimplemented( + "Act JIT kernel do not support type: %s.", act)); return kNone; } @@ -109,12 +112,19 @@ void pack_weights(const float* src, float* dst, int n, int k) { int block, rest; const auto groups = packed_groups(n, k, &block, &rest); std::for_each(groups.begin(), groups.end(), [&](int i) { - PADDLE_ENFORCE_GT(i, 0, "each element of groups should be larger than 0."); + PADDLE_ENFORCE_GT(i, 0, platform::errors::InvalidArgument( + "Each element of groups should be larger than " + "0. However the element: %d doesn't satify.", + i)); }); int sum = std::accumulate(groups.begin(), groups.end(), 0); std::memset(dst, 0, k * sum * block * sizeof(float)); PADDLE_ENFORCE_GE(sum * block, n, - "The packed n should be equal to or larger than n"); + platform::errors::InvalidArgument( + "The packed n (sum * block) should be equal to or " + "larger than n (matmul row size). " + "However, the packed n is %d and n is %d.", + sum * block, n)); const int block_len = sizeof(float) * block; int n_offset = 0; @@ -136,7 +146,8 @@ void pack_weights(const float* src, float* dst, int n, int k) { template typename std::enable_if::value>::type pack_weights( const T* src, T* dst, int n, int k) { - PADDLE_THROW("Only support pack with float type."); + PADDLE_THROW(platform::errors::Unimplemented( + "Only supports pack weights with float type.")); } } // namespace jit diff --git a/paddle/fluid/operators/jit/helper.h b/paddle/fluid/operators/jit/helper.h index 39e5ee2be1538e7884118a2280ed2e02c5de3bff..0791bb5810526cb930fe1869a60913d4239f72a3 100644 --- a/paddle/fluid/operators/jit/helper.h +++ b/paddle/fluid/operators/jit/helper.h @@ -21,6 +21,7 @@ #include #include // for std::move #include + #include "paddle/fluid/operators/jit/gen_base.h" #include "paddle/fluid/operators/jit/kernel_base.h" #include "paddle/fluid/operators/jit/kernel_key.h" @@ -31,6 +32,8 @@ namespace paddle { namespace operators { namespace jit { +class GenBase; + template inline typename std::enable_if< std::is_same::value && @@ -82,8 +85,10 @@ inline const Kernel* GetReferKernel() { auto& ref_pool = ReferKernelPool::Instance().AllKernels(); KernelKey kkey(KernelTuple::kernel_type, platform::CPUPlace()); auto ref_iter = ref_pool.find(kkey); - PADDLE_ENFORCE(ref_iter != ref_pool.end(), - "Every Kernel should have reference function."); + PADDLE_ENFORCE_NE( + ref_iter, ref_pool.end(), + platform::errors::PreconditionNotMet( + "Every Refer Kernel of jitcode should have reference function.")); auto& ref_impls = ref_iter->second; for (auto& impl : ref_impls) { auto i = dynamic_cast*>(impl.get()); @@ -98,7 +103,9 @@ template inline typename KernelTuple::func_type GetReferFunc() { auto ker = GetReferKernel(); auto p = dynamic_cast*>(ker); - PADDLE_ENFORCE(p, "The Refer kernel should exsit"); + PADDLE_ENFORCE_NOT_NULL(p, platform::errors::InvalidArgument( + "Get the reference code of kernel in CPU " + "failed. The Refer kernel should exsit.")); return p->GetFunc(); } @@ -129,7 +136,9 @@ std::vector GetAllCandidateKernels( // The last implementation should be reference function on CPUPlace. auto ref = GetReferKernel(); - PADDLE_ENFORCE(ref != nullptr, "Refer Kernel can not be empty."); + PADDLE_ENFORCE_NOT_NULL(ref, platform::errors::InvalidArgument( + "Get all candicate kernel in CPU failed. " + "The Refer Kernel can not be empty.")); res.emplace_back(ref); return res; } @@ -144,11 +153,14 @@ GetAllCandidateFuncsWithTypes(const typename KernelTuple::attr_type& attr) { std::string name = k->ImplType(); if (name == "JitCode") { auto i = dynamic_cast(k); - PADDLE_ENFORCE(i, "jitcode kernel cast can not fail."); + PADDLE_ENFORCE_NOT_NULL(i, + platform::errors::InvalidArgument( + "Generate jitcode kernel (GenBase) failed.")); res.emplace_back(std::make_pair(name, i->template getCode())); } else { auto i = dynamic_cast*>(k); - PADDLE_ENFORCE(i, "kernel cast can not fail."); + PADDLE_ENFORCE_NOT_NULL(i, platform::errors::InvalidArgument( + "Kernel cast (KernelMore) failed.")); res.emplace_back(std::make_pair(name, i->GetFunc())); } } @@ -170,7 +182,9 @@ template typename KernelTuple::func_type GetDefaultBestFunc( const typename KernelTuple::attr_type& attr) { auto funcs = GetAllCandidateFuncs(attr); - PADDLE_ENFORCE_GE(funcs.size(), 1UL); + PADDLE_ENFORCE_GE(funcs.size(), 1UL, + platform::errors::InvalidArgument( + "The candicate jit kernel is at least one in CPU.")); // Here could do some runtime benchmark of this attr and return the best one. // But yet just get the first one as the default best one, // which is searched in order and tuned by offline. diff --git a/paddle/fluid/operators/jit/kernel_pool.cc b/paddle/fluid/operators/jit/kernel_pool.cc index f1719be987348b6b8f0ba5c1212808f20c922c78..7b6b13c3d989291176640066b16e9dbb340f8805 100644 --- a/paddle/fluid/operators/jit/kernel_pool.cc +++ b/paddle/fluid/operators/jit/kernel_pool.cc @@ -13,9 +13,6 @@ * limitations under the License. */ #include "paddle/fluid/operators/jit/kernel_pool.h" -#include // for shared_ptr -#include -#include namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/jit/kernel_pool.h b/paddle/fluid/operators/jit/kernel_pool.h index 48435cf6ef25448b548836e5da581609c63dd08f..763be7d3cf51f622e5ac4f654b83c9e82d1f458d 100644 --- a/paddle/fluid/operators/jit/kernel_pool.h +++ b/paddle/fluid/operators/jit/kernel_pool.h @@ -20,6 +20,7 @@ #include #include // for move #include + #include "paddle/fluid/operators/jit/gen_base.h" #include "paddle/fluid/operators/jit/kernel_base.h" #include "paddle/fluid/operators/jit/kernel_key.h" @@ -29,6 +30,8 @@ namespace paddle { namespace operators { namespace jit { +struct KernelKey; + extern std::map>& GetJITCodesMap(); template diff --git a/paddle/fluid/operators/jit/more/intrinsic/crf_decoding.h b/paddle/fluid/operators/jit/more/intrinsic/crf_decoding.h index 49b1a1fea4b16f435120bb37c7d9c8c07a4cc4f5..6e0c972e27ac7b981111db03c9e8ba60e75a6c23 100644 --- a/paddle/fluid/operators/jit/more/intrinsic/crf_decoding.h +++ b/paddle/fluid/operators/jit/more/intrinsic/crf_decoding.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/operators/jit/kernel_base.h" namespace paddle { diff --git a/paddle/fluid/operators/jit/more/intrinsic/layer_norm.h b/paddle/fluid/operators/jit/more/intrinsic/layer_norm.h index 7b9f676050d806314edd1e46611416a8b7170add..6a44bb256129487ac194798f959c32c578e49e82 100644 --- a/paddle/fluid/operators/jit/more/intrinsic/layer_norm.h +++ b/paddle/fluid/operators/jit/more/intrinsic/layer_norm.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/operators/jit/kernel_base.h" namespace paddle { diff --git a/paddle/fluid/operators/jit/more/mix/mix.cc b/paddle/fluid/operators/jit/more/mix/mix.cc index f5b7bfff89825bfcd6cbe4b1008628d3e1093f4c..5d63f4848e6165bfb84c1bfe301d20cc24cfc7b0 100644 --- a/paddle/fluid/operators/jit/more/mix/mix.cc +++ b/paddle/fluid/operators/jit/more/mix/mix.cc @@ -95,7 +95,8 @@ void (*getActFunc(KernelType type, int d))(const T*, T*, int) { // NOLINT } else if (type == kVIdentity) { return KernelFuncs, CPUPlace>::Cache().At(d); } - PADDLE_THROW("Not support type: %s", type); + PADDLE_THROW(platform::errors::Unimplemented( + "Act JIT kernel do not support type: %s", type)); return nullptr; } diff --git a/paddle/fluid/operators/jit/more/mix/mix.h b/paddle/fluid/operators/jit/more/mix/mix.h index 035425317edca95bc574807fa029ff373a7e10b8..240cbbcda4fbd0dc2a99b300b0a4c91dbb115b28 100644 --- a/paddle/fluid/operators/jit/more/mix/mix.h +++ b/paddle/fluid/operators/jit/more/mix/mix.h @@ -15,6 +15,7 @@ #pragma once #include + #include "paddle/fluid/operators/jit/kernel_base.h" namespace paddle { diff --git a/paddle/fluid/operators/jit/more/mkl/mkl.h b/paddle/fluid/operators/jit/more/mkl/mkl.h index b38cc107b8e3038e04db4ed809d647e9a20d45fc..5f3c29ad5efb848f1fa12236ffe36a9f654864a3 100644 --- a/paddle/fluid/operators/jit/more/mkl/mkl.h +++ b/paddle/fluid/operators/jit/more/mkl/mkl.h @@ -17,6 +17,7 @@ #include #include #include + #include "paddle/fluid/operators/jit/kernel_base.h" #include "paddle/fluid/platform/enforce.h" @@ -102,11 +103,24 @@ void SeqPool(const T* x, T* y, const seq_pool_attr_t* attr) { template void EmbSeqPool(const T* table, const int64_t* idx, T* out, const emb_seq_pool_attr_t* attr) { - PADDLE_ENFORCE_EQ(attr->table_width * attr->index_width, attr->out_width); + PADDLE_ENFORCE_EQ( + attr->table_width * attr->index_width, attr->out_width, + platform::errors::InvalidArgument( + "The attribute table_width * index_width of EmbSeqPool should " + "be equal to out_width. But table_width * index_width is %d, " + "out_width is %d.", + attr->table_width * attr->index_width, attr->out_width)); auto check_idx_value_valid = [&](int64_t i) { - PADDLE_ENFORCE_LT(idx[i], attr->table_height, "idx value: %d, i: %d", - idx[i], i); - PADDLE_ENFORCE_GE(idx[i], 0, "idx value: %d, i: %d", idx[i], i); + PADDLE_ENFORCE_LT( + idx[i], attr->table_height, + platform::errors::InvalidArgument( + "The idx shoud be lower than the attribute table_height of " + "EmbSeqPool. But %dth of idx is %d and table_height is %d.", + i, idx[i], attr->table_height)); + PADDLE_ENFORCE_GE(idx[i], 0, platform::errors::InvalidArgument( + "The idx shoud be equal to or larger than " + "the 0. But %dth of idx is %d.", + i, idx[i])); }; for (int64_t w = 0; w != attr->index_width; ++w) { @@ -167,22 +181,50 @@ void Softmax(const T* x, T* y, int n, int bs, int remain = 1) { template void Sgd(const T* lr, const T* param, const T* grad, const int64_t* rows, T* out, const sgd_attr_t* attr) { - PADDLE_ENFORCE_EQ(attr->param_width, attr->grad_width); - PADDLE_ENFORCE_LE(attr->selected_rows_size, attr->grad_height); + PADDLE_ENFORCE_EQ(attr->param_width, attr->grad_width, + platform::errors::InvalidArgument( + "The attribute param_width of Sgd should be " + "equal to the attribute grad_width. But param_width " + "is %d and grad_width is %d.", + attr->param_width, attr->grad_width)); + PADDLE_ENFORCE_LE(attr->selected_rows_size, attr->grad_height, + platform::errors::InvalidArgument( + "The attribute selected_rows_size of Sgd should be " + "equal to or less than the attribute grad_height. " + "But selected_rows_size is %d and grad_height is %d.", + attr->selected_rows_size, attr->grad_height)); T scalar = -lr[0]; int width = attr->grad_width; if (out == param) { for (int64_t i = 0; i < attr->selected_rows_size; ++i) { auto h_idx = rows[i]; - PADDLE_ENFORCE_LT(h_idx, attr->param_height); - PADDLE_ENFORCE_GE(h_idx, 0); + PADDLE_ENFORCE_LT(h_idx, attr->param_height, + platform::errors::InvalidArgument( + "The rows of Sgd should be " + "less than the attribute. But %dth of rows " + "is %d and grad_width is %d.", + i, h_idx, attr->param_height)); + PADDLE_ENFORCE_GE(h_idx, 0, platform::errors::InvalidArgument( + "The rows of Sgd should be " + "larger than 0. But %dth of rows " + "is %d.", + i, h_idx)); VAXPY(scalar, grad + i * width, out + h_idx * width, width); } } else { for (int64_t i = 0; i < attr->selected_rows_size; ++i) { auto h_idx = rows[i]; - PADDLE_ENFORCE_LT(h_idx, attr->param_height); - PADDLE_ENFORCE_GE(h_idx, 0); + PADDLE_ENFORCE_LT(h_idx, attr->param_height, + platform::errors::InvalidArgument( + "The rows of Sgd should be " + "less than the attribute. But %dth of rows " + "is %d and grad_width is %d.", + i, h_idx, attr->param_height)); + PADDLE_ENFORCE_GE(h_idx, 0, platform::errors::InvalidArgument( + "The rows of Sgd should be " + "larger than 0. But %dth of rows " + "is %d.", + i, h_idx)); VScal(&scalar, grad + i * width, out + h_idx * width, width); VAdd(param + h_idx * width, out + h_idx * width, out + h_idx * width, width); diff --git a/paddle/fluid/operators/jit/refer/refer.h b/paddle/fluid/operators/jit/refer/refer.h index 136b99e0aeffec8e93e11c2e5e4f7bd35dd1c8d4..42fb7b4f279c225fb38a49d23e9d76ac1854d12d 100644 --- a/paddle/fluid/operators/jit/refer/refer.h +++ b/paddle/fluid/operators/jit/refer/refer.h @@ -17,6 +17,7 @@ #include #include #include + #include "paddle/fluid/operators/jit/helper.h" #include "paddle/fluid/operators/jit/kernel_base.h" #include "paddle/fluid/platform/enforce.h" @@ -146,7 +147,8 @@ void (*getActFunc(KernelType type))(const T*, T*, int) { // NOLINT } else if (type == kVIdentity) { return VIdentity; } - PADDLE_THROW("Not support type: %s", type); + PADDLE_THROW(platform::errors::Unimplemented( + "Act JIT kernel do not support type: %s.", type)); return nullptr; } @@ -464,12 +466,25 @@ void Softmax(const T* x, T* y, int n, int bs = 1, int remain = 1) { template void EmbSeqPool(const T* table, const int64_t* idx, T* out, const emb_seq_pool_attr_t* attr) { - PADDLE_ENFORCE_EQ(attr->table_width * attr->index_width, attr->out_width); + PADDLE_ENFORCE_EQ( + attr->table_width * attr->index_width, attr->out_width, + platform::errors::InvalidArgument( + "The attribute table_width * index_width of EmbSeqPool should " + "be equal to out_width. But table_width * index_width is %d and " + "out_width is %d.", + attr->table_width * attr->index_width, attr->out_width)); auto check_idx_value_valid = [&](int64_t i) { - PADDLE_ENFORCE_LT(idx[i], attr->table_height, "idx value: %d, i: %d", - idx[i], i); - PADDLE_ENFORCE_GE(idx[i], 0, "idx value: %d, i: %d", idx[i], i); + PADDLE_ENFORCE_LT( + idx[i], attr->table_height, + platform::errors::InvalidArgument( + "The idx shoud be lower than the attribute table_height of " + "EmbSeqPool. But %dth of idx is %d and table_height is %d.", + i, idx[i], attr->table_height)); + PADDLE_ENFORCE_GE(idx[i], 0, platform::errors::InvalidArgument( + "The idx shoud be equal to or larger than " + "the 0. But %dth of idx is %d.", + i, idx[i])); }; for (int64_t w = 0; w != attr->index_width; ++w) { @@ -504,12 +519,31 @@ void EmbSeqPool(const T* table, const int64_t* idx, T* out, template void Sgd(const T* lr, const T* param, const T* grad, const int64_t* rows, T* out, const sgd_attr_t* attr) { - PADDLE_ENFORCE_EQ(attr->param_width, attr->grad_width); - PADDLE_ENFORCE_LE(attr->selected_rows_size, attr->grad_height); + PADDLE_ENFORCE_EQ(attr->param_width, attr->grad_width, + platform::errors::InvalidArgument( + "The attribute param_width of Sgd should be " + "equal to the attribute grad_width. But param_width " + "is %d and grad_width is %d.", + attr->param_width, attr->grad_width)); + PADDLE_ENFORCE_LE(attr->selected_rows_size, attr->grad_height, + platform::errors::InvalidArgument( + "The attribute selected_rows_size of Sgd should be " + "equal to or less than the attribute grad_height. " + "But selected_rows_size is %d and grad_height is %d.", + attr->selected_rows_size, attr->grad_height)); for (int64_t i = 0; i < attr->selected_rows_size; ++i) { auto h_idx = rows[i]; - PADDLE_ENFORCE_LT(h_idx, attr->param_height); - PADDLE_ENFORCE_GE(h_idx, 0); + PADDLE_ENFORCE_LT(h_idx, attr->param_height, + platform::errors::InvalidArgument( + "The rows of Sgd should be " + "less than the attribute. But %dth of rows " + "is %d and grad_width is %d.", + i, h_idx, attr->param_height)); + PADDLE_ENFORCE_GE(h_idx, 0, platform::errors::InvalidArgument( + "The rows of Sgd should be " + "larger than 0. But %dth of rows " + "is %d.", + i, h_idx)); for (int64_t j = 0; j < attr->grad_width; ++j) { out[h_idx * attr->grad_width + j] = param[h_idx * attr->grad_width + j] - diff --git a/paddle/fluid/operators/jit/test.cc b/paddle/fluid/operators/jit/test.cc index eb56f111f0880f1a884e8f7f7ca2edcebfac695a..0cc62720b87943c8d92e56a53705ec9e4b46e047 100644 --- a/paddle/fluid/operators/jit/test.cc +++ b/paddle/fluid/operators/jit/test.cc @@ -850,8 +850,15 @@ void TestKernelSgd() { const T lr = 0.1; auto UnDuplicatedRandomVec = [](int n, const int64_t lower, const int64_t upper) -> std::vector { - PADDLE_ENFORCE_LE(static_cast(upper - lower), n - 1); - PADDLE_ENFORCE_GT(n, 0); + PADDLE_ENFORCE_LE(static_cast(upper - lower), n - 1, + paddle::platform::errors::InvalidArgument( + "The range of Sgd (upper - lower) should be lower " + "than n-1 (Sgd size -1). But the upper - lower is %d " + "and n-1 is %d.", + static_cast(upper - lower), n - 1)); + PADDLE_ENFORCE_GT( + n, 0, paddle::platform::errors::InvalidArgument( + "The Sgd size should be larger than 0. But the n is %d.", n)); std::vector all, out; for (int i = 0; i < n; ++i) { all.push_back(i); diff --git a/paddle/fluid/operators/label_smooth_op.cc b/paddle/fluid/operators/label_smooth_op.cc index ac0405b9a6e64a3ea53203533ae4e6787a24c2fe..231ff941278c72ce6bb2bf07315be25a32f5bc37 100644 --- a/paddle/fluid/operators/label_smooth_op.cc +++ b/paddle/fluid/operators/label_smooth_op.cc @@ -13,9 +13,23 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/label_smooth_op.h" -#include + #include +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/layer_norm_op.h b/paddle/fluid/operators/layer_norm_op.h index 6968c1a5b131211a8fc7a474df8d1692d6a5ed0f..931cd6d1794910cfa26fe03f713001c426736fad 100644 --- a/paddle/fluid/operators/layer_norm_op.h +++ b/paddle/fluid/operators/layer_norm_op.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include + #include "paddle/fluid/framework/eigen.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/operators/elementwise/elementwise_op_function.cu.h" @@ -27,6 +28,14 @@ limitations under the License. */ #endif #include "paddle/fluid/operators/math/math_function.h" +namespace paddle { +namespace platform { +class CPUDeviceContext; +class CUDADeviceContext; +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/lod_array_length_op.cc b/paddle/fluid/operators/lod_array_length_op.cc index 49e8cbbbaabe75987196f27d1713be389233373f..70da0149cadc46c602a02b9511705d6d82cfbd13 100644 --- a/paddle/fluid/operators/lod_array_length_op.cc +++ b/paddle/fluid/operators/lod_array_length_op.cc @@ -12,9 +12,21 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include "paddle/fluid/framework/lod_tensor_array.h" #include "paddle/fluid/framework/op_registry.h" +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/lod_rank_table_op.cc b/paddle/fluid/operators/lod_rank_table_op.cc index 7cbfbd03e1dcb4983863445f6a9cd2c9ee17a8b0..a9128b15bdbad28e9d24891ed96c073a82b8f4bf 100644 --- a/paddle/fluid/operators/lod_rank_table_op.cc +++ b/paddle/fluid/operators/lod_rank_table_op.cc @@ -11,8 +11,21 @@ distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include "paddle/fluid/framework/lod_rank_table.h" #include "paddle/fluid/framework/op_registry.h" + +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/lod_tensor_to_array_op.cc b/paddle/fluid/operators/lod_tensor_to_array_op.cc index b130e84933bc9a26653b5eb164ccc450fdb7b63e..db07a104a89cdb669bd39ff42e5df6acfc44f4bf 100644 --- a/paddle/fluid/operators/lod_tensor_to_array_op.cc +++ b/paddle/fluid/operators/lod_tensor_to_array_op.cc @@ -11,14 +11,19 @@ distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include -#include -#include "paddle/fluid/framework/lod_rank_table.h" -#include "paddle/fluid/framework/lod_tensor_array.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/operators/math/concat_and_split.h" #include "paddle/fluid/platform/device_context.h" -#include "paddle/fluid/platform/port.h" + +namespace paddle { +namespace framework { +class OpDesc; +class Scope; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/match_matrix_tensor_op.cc b/paddle/fluid/operators/match_matrix_tensor_op.cc index 8bad10d7235b29c7769e2468c2108d287cc755cd..e95aef8eb563fba75dce4dec8b334dfb49e42968 100644 --- a/paddle/fluid/operators/match_matrix_tensor_op.cc +++ b/paddle/fluid/operators/match_matrix_tensor_op.cc @@ -28,34 +28,54 @@ using LoDTensor = framework::LoDTensor; using LoD = framework::LoD; void MatchMatrixTensorOP::InferShape(framework::InferShapeContext* ctx) const { - PADDLE_ENFORCE_EQ(ctx->HasInput("X"), true, - "X(Input) of MatchMatrix should not be null."); - PADDLE_ENFORCE_EQ(ctx->HasInput("Y"), true, - "Y(Input) of MatchMatrix should not be null."); - PADDLE_ENFORCE_EQ(ctx->HasInput("W"), true, - "W(Input) of MatchMatrix should not be null."); - PADDLE_ENFORCE_EQ(ctx->HasOutput("Out"), true, - "Out(Output) of MatchMatrix should not be null."); - PADDLE_ENFORCE_EQ(ctx->HasOutput("Tmp"), true, - "Tmp(Output) of MatchMatrix should not be null."); + OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "match_matrix_tensor"); + OP_INOUT_CHECK(ctx->HasInput("Y"), "Input", "Y", "match_matrix_tensor"); + OP_INOUT_CHECK(ctx->HasInput("W"), "Input", "W", "match_matrix_tensor"); + OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "match_matrix_tensor"); + OP_INOUT_CHECK(ctx->HasOutput("Tmp"), "Output", "Tmp", "match_matrix_tensor"); auto x_dims = ctx->GetInputDim("X"); PADDLE_ENFORCE_EQ(x_dims.size(), 2, - "The rank of Input(X) can't be less than 2."); + platform::errors::InvalidArgument( + "The dimensions of Input(X) should be equal to 2, " + "but received %d.", + x_dims.size())); auto y_dims = ctx->GetInputDim("Y"); PADDLE_ENFORCE_EQ(y_dims.size(), 2, - "The rank of Input(Y) can't be less than 2."); + platform::errors::InvalidArgument( + "The dimensions of Input(Y) should be equal to 2, " + "but received %d.", + y_dims.size())); auto w_dims = ctx->GetInputDim("W"); - PADDLE_ENFORCE_EQ(w_dims.size(), 3UL, "W should be 3-D tensor"); + PADDLE_ENFORCE_EQ(w_dims.size(), 3, + platform::errors::InvalidArgument( + "The dimensions of Input(W) should be equal to 3, " + "but received %d.", + w_dims.size())); int dim_t = ctx->Attrs().Get("dim_t"); - PADDLE_ENFORCE_EQ(w_dims[0], x_dims[1], - "W 's shape must satisfy: W[0] = X[1]"); - PADDLE_ENFORCE_EQ(w_dims[1], dim_t, "W 's shape must satisfy: W[1] = dim_t"); - PADDLE_ENFORCE_EQ(w_dims[2], y_dims[1], - "W 's shape must satisfy: W[2] = Y[1]"); + PADDLE_ENFORCE_EQ( + w_dims[0], x_dims[1], + platform::errors::InvalidArgument( + "The first dimension of Input(W) should be equal to the second " + "dimension of Input(X). But received the first dimension of Input(W) " + "is %d, the second dimension of Input(X) is %d.", + w_dims[0], x_dims[1])); + PADDLE_ENFORCE_EQ( + w_dims[1], dim_t, + platform::errors::InvalidArgument( + "The second dimension of Input(W) should be equal to 'dim_t', but " + "received the second dimension of Input(W) is %d, 'dim_t' is %d.", + w_dims[1], dim_t)); + PADDLE_ENFORCE_EQ( + w_dims[2], y_dims[1], + platform::errors::InvalidArgument( + "The last dimension of Input(W) should be equal to " + "the second dimension of Input(Y). But received the last dimension " + "of Input(W) is %d, the second dimension of Input(Y) is %d.", + w_dims[2], y_dims[1])); int64_t out_dim_0 = -1; int64_t tmp_dim_0 = -1; @@ -63,27 +83,52 @@ void MatchMatrixTensorOP::InferShape(framework::InferShapeContext* ctx) const { framework::Variable* x_var = BOOST_GET(framework::Variable*, ctx->GetInputVarPtrs("X")[0]); const auto& x_lod = x_var->Get().lod(); - PADDLE_ENFORCE_EQ(x_lod.empty(), false, "The Input(X) must hold lod info."); + PADDLE_ENFORCE_EQ(x_lod.empty(), false, + platform::errors::InvalidArgument( + "The Input(X) should hold LoD information, but " + "received Input(X).lod() is empty.")); const auto& x_lod_0 = x_lod[0]; PADDLE_ENFORCE_GE(x_lod_0.size(), 2, - "The Input(X)'s lod info is corrupted."); - PADDLE_ENFORCE_EQ( - x_dims[0], static_cast(x_lod_0.back()), - "The Input(X)'s lod info mismatches the actual tensor shape."); + platform::errors::InvalidArgument( + "The dimensions of Input(X)'s LoD data should be " + "equal to 2, but received %d.", + x_lod_0.size())); + PADDLE_ENFORCE_EQ(x_dims[0], static_cast(x_lod_0.back()), + platform::errors::InvalidArgument( + "The last element of Input(X)'s LoD data should be " + "equal to the first dimension of Input(X). " + "But received the last element of Input(X)'s LoD " + "data is %d, the first dimension of Input(X) is %d.", + x_lod_0.back(), x_dims[0])); framework::Variable* y_var = BOOST_GET(framework::Variable*, ctx->GetInputVarPtrs("Y")[0]); const auto& y_lod = y_var->Get().lod(); - PADDLE_ENFORCE_EQ(y_lod.empty(), false, "The Input(Y) must hold lod info."); + PADDLE_ENFORCE_EQ(y_lod.empty(), false, + platform::errors::InvalidArgument( + "The Input(Y) should hold LoD information, but " + "received Input(Y).lod() is empty.")); const auto& y_lod_0 = y_lod[0]; PADDLE_ENFORCE_GE(y_lod_0.size(), 2, - "The Input(Y)'s lod info is corrupted."); - PADDLE_ENFORCE_EQ( - y_dims[0], static_cast(y_lod_0.back()), - "The Input(Y)'s lod info mismatches the actual tensor shape."); + platform::errors::InvalidArgument( + "The dimensions of Input(Y)'s LoD data should be " + "equal to 2, but received %d.", + y_lod_0.size())); + PADDLE_ENFORCE_EQ(y_dims[0], static_cast(y_lod_0.back()), + platform::errors::InvalidArgument( + "The last element of Input(Y)'s LoD data should be " + "equal to the first dimension of Input(Y). " + "But received the last element of Input(Y)'s LoD " + "data is %d, the first dimension of Input(Y) is %d.", + y_lod_0.back(), y_dims[0])); PADDLE_ENFORCE_EQ(x_lod_0.size(), y_lod_0.size(), - "The Length of X and Y must be equal."); + platform::errors::InvalidArgument( + "The dimensions of Input(X)'s and Input(Y)'s LoD " + "data should be equal. " + "But received the dimensions of Input(X)'s LoD is " + "%d, the dimensions of Input(Y)'s LoD is %d.", + x_lod_0.size(), y_lod_0.size())); out_dim_0 = 0; for (size_t i = 1; i < x_lod_0.size(); i++) { @@ -98,10 +143,18 @@ void MatchMatrixTensorOP::InferShape(framework::InferShapeContext* ctx) const { // compile time framework::VarDesc* x_desc = BOOST_GET(framework::VarDesc*, ctx->GetInputVarPtrs("X")[0]); - PADDLE_ENFORCE_GE(x_desc->GetLoDLevel(), 1); + PADDLE_ENFORCE_GE( + x_desc->GetLoDLevel(), 1, + platform::errors::InvalidArgument("The LoD level of Input(X) should be " + "greater than 1, but reviced %d.", + x_desc->GetLoDLevel())); framework::VarDesc* y_desc = BOOST_GET(framework::VarDesc*, ctx->GetInputVarPtrs("Y")[0]); - PADDLE_ENFORCE_GE(y_desc->GetLoDLevel(), 1); + PADDLE_ENFORCE_GE( + y_desc->GetLoDLevel(), 1, + platform::errors::InvalidArgument("The LoD level of Input(Y) should be " + "greater than 1, but reviced %d.", + y_desc->GetLoDLevel())); ctx->ShareLoD("X", "Out"); } @@ -115,14 +168,11 @@ void MatchMatrixTensorOP::InferShape(framework::InferShapeContext* ctx) const { void MatchMatrixTensorOpGrad::InferShape( framework::InferShapeContext* ctx) const { - PADDLE_ENFORCE_EQ(ctx->HasInput("X"), true, - "Input(X) of SequencePadGradOp should not be null."); - PADDLE_ENFORCE_EQ(ctx->HasInput("Y"), true, - "Input(Y) of SequencePadGradOp should not be null."); - PADDLE_ENFORCE_EQ(ctx->HasInput("W"), true, - "Input(W) of SequencePadGradOp should not be null."); - PADDLE_ENFORCE_EQ(ctx->HasInput(framework::GradVarName("Out")), true, - "Input(Out@GRAD) of SequencePadGradOp should not be null."); + OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "match_matrix_tensor_grad"); + OP_INOUT_CHECK(ctx->HasInput("Y"), "Input", "Y", "match_matrix_tensor_grad"); + OP_INOUT_CHECK(ctx->HasInput("W"), "Input", "W", "match_matrix_tensor_grad"); + OP_INOUT_CHECK(ctx->HasInput(framework::GradVarName("Out")), "Input", + "Out@GRAD", "match_matrix_tensor_grad"); if (ctx->HasOutput(framework::GradVarName("X"))) { ctx->SetOutputDim(framework::GradVarName("X"), ctx->GetInputDim("X")); diff --git a/paddle/fluid/operators/math/beam_search.cc b/paddle/fluid/operators/math/beam_search.cc index 550de1aadde2935fae34226dba78cc06d82cd1f3..5271da91b8c151dfef50810c4ae46bdf27d7a2af 100644 --- a/paddle/fluid/operators/math/beam_search.cc +++ b/paddle/fluid/operators/math/beam_search.cc @@ -13,8 +13,16 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/beam_search.h" -#include -#include + +namespace paddle { +namespace framework { +class LoDTensor; +class Tensor; +} // namespace framework +namespace platform { +class CPUDeviceContext; +} // namespace platform +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/math/beam_search_test.cc b/paddle/fluid/operators/math/beam_search_test.cc index 7ea8eb8b00db328ca13d3d33d751aca4eac66dae..97ce3d3f87832494900f041773bbdee1fb0639af 100644 --- a/paddle/fluid/operators/math/beam_search_test.cc +++ b/paddle/fluid/operators/math/beam_search_test.cc @@ -13,8 +13,8 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/beam_search.h" + #include -#include void PrepareCPUTensors(paddle::framework::LoDTensor* ids, paddle::framework::LoDTensor* scores, diff --git a/paddle/fluid/operators/math/blas.cc b/paddle/fluid/operators/math/blas.cc index 2a7ce83967f0f74f4c2178dd4277e6a1687b5ec7..3bc1b4f4048eb02b1417e697c98f1e93b1106093 100644 --- a/paddle/fluid/operators/math/blas.cc +++ b/paddle/fluid/operators/math/blas.cc @@ -13,8 +13,8 @@ // limitations under the License. #include "paddle/fluid/operators/math/blas.h" - #include + namespace paddle { namespace operators { namespace math { diff --git a/paddle/fluid/operators/math/blas.h b/paddle/fluid/operators/math/blas.h index 42a60e9220cf848ba766a19cb7b4d13edc460c11..562e2de3bd3111c3cdea1b18c1fa64f6bd9911ea 100644 --- a/paddle/fluid/operators/math/blas.h +++ b/paddle/fluid/operators/math/blas.h @@ -17,6 +17,13 @@ #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/framework/tensor.h" +namespace paddle { +namespace framework { +class ExecutionContext; +class Tensor; +} // namespace framework +} // namespace paddle + #ifdef PADDLE_WITH_MKLML #include "paddle/fluid/platform/dynload/mklml.h" #endif diff --git a/paddle/fluid/operators/math/blas_impl.cu.h b/paddle/fluid/operators/math/blas_impl.cu.h index a0464cf70e2dcc44c42fc2ca7440680ef8a53e6e..aeafe22235c0954d16a73ac242ccb9e54a15413b 100644 --- a/paddle/fluid/operators/math/blas_impl.cu.h +++ b/paddle/fluid/operators/math/blas_impl.cu.h @@ -420,6 +420,22 @@ void Blas::GEMV(bool trans_a, int M, int N, }); } +template <> +template <> +inline void Blas::GEMV( + bool trans_a, int M, int N, platform::float16 alpha, + const platform::float16 *A, const platform::float16 *B, + platform::float16 beta, platform::float16 *C) const { + // Because cublas doesn't support half gemv, we use cublasHgemm to achieve it. + if (trans_a) { + this->template GEMM(CblasNoTrans, CblasNoTrans, 1, N, M, + alpha, B, A, beta, C); + } else { + this->template GEMM(CblasNoTrans, CblasNoTrans, M, 1, N, + alpha, A, B, beta, C); + } +} + template <> template void Blas::BatchedGEMM( @@ -479,6 +495,19 @@ void Blas::BatchedGEMM( } } +template <> +template <> +inline void Blas::BatchedGEMM( + CBLAS_TRANSPOSE transA, CBLAS_TRANSPOSE transB, int M, int N, int K, + platform::float16 alpha, const platform::float16 **A, + const platform::float16 **B, platform::float16 beta, platform::float16 **C, + int batchCount) const { + for (int k = 0; k < batchCount; ++k) { + this->template GEMM(transA, transB, M, N, K, alpha, A[k], + B[k], beta, C[k]); + } +} + template <> template void Blas::TRSM(CBLAS_SIDE side, CBLAS_UPLO uplo, diff --git a/paddle/fluid/operators/math/blas_impl.h b/paddle/fluid/operators/math/blas_impl.h index 515d6a2435e86fe07ffe1309628ef2fbeefdc6f0..c53c453897fbae76745fd5c3aaf3e3a836527ded 100644 --- a/paddle/fluid/operators/math/blas_impl.h +++ b/paddle/fluid/operators/math/blas_impl.h @@ -695,9 +695,9 @@ void Blas::BatchedGEMM( CBLAS_TRANSPOSE transA, CBLAS_TRANSPOSE transB, int M, int N, int K, T alpha, const T **A, const T **B, T beta, T **C, int batchCount) const { #ifdef PADDLE_WITH_MKLML - const int lda = std::max((transA == CblasNoTrans) ? K : M, 1); - const int ldb = std::max((transB == CblasNoTrans) ? N : K, 1); - const int ldc = std::max(N, 1); + const int lda = (std::max)((transA == CblasNoTrans) ? K : M, 1); + const int ldb = (std::max)((transB == CblasNoTrans) ? N : K, 1); + const int ldc = (std::max)(N, 1); CBlas::GEMM_BATCH(CblasRowMajor, &transA, &transB, &M, &N, &K, &alpha, A, &lda, B, &ldb, &beta, C, &ldc, 1 /* group_count */, &batchCount); diff --git a/paddle/fluid/operators/math/concat_and_split.cc b/paddle/fluid/operators/math/concat_and_split.cc index b6bd58d118e9fc8b2d8f831660a3c93f8c59e605..3b0c3c1686af6fd9da6864b535c6c75e252485ea 100644 --- a/paddle/fluid/operators/math/concat_and_split.cc +++ b/paddle/fluid/operators/math/concat_and_split.cc @@ -13,7 +13,17 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/concat_and_split.h" -#include + +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +namespace platform { +class CPUDeviceContext; +struct bfloat16; +struct float16; +} // namespace platform +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/math/concat_test.cc b/paddle/fluid/operators/math/concat_test.cc index 270a9d3f80a80d5ea2c8b97d4a69125355ddef61..094e2059c4d4c4b16c79817bac9dc84703a2b013 100644 --- a/paddle/fluid/operators/math/concat_test.cc +++ b/paddle/fluid/operators/math/concat_test.cc @@ -13,7 +13,7 @@ See the License for the specific language governing permissions and limitations under the License. */ #include -#include + #include "paddle/fluid/framework/tensor_util.h" #include "paddle/fluid/operators/math/concat_and_split.h" diff --git a/paddle/fluid/operators/math/context_project.cc b/paddle/fluid/operators/math/context_project.cc index 537d0b47868fb68d59e3b3556a54ba85d5f06960..927d610e2ce47e4206615ee435377d01d8ea9db3 100644 --- a/paddle/fluid/operators/math/context_project.cc +++ b/paddle/fluid/operators/math/context_project.cc @@ -14,6 +14,12 @@ limitations under the License. */ #include "paddle/fluid/operators/math/context_project.h" +namespace paddle { +namespace platform { +class CPUDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace math { diff --git a/paddle/fluid/operators/math/context_project.h b/paddle/fluid/operators/math/context_project.h index 051c6019d74f7d2820dc0ba668da3cafe8864346..08bb555c593787cd733a0c81efda5e72e0929f93 100644 --- a/paddle/fluid/operators/math/context_project.h +++ b/paddle/fluid/operators/math/context_project.h @@ -16,8 +16,10 @@ limitations under the License. */ #include #include + #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/operators/math/blas.h" + #include "paddle/fluid/operators/math/im2col.h" namespace paddle { diff --git a/paddle/fluid/operators/math/cos_sim_functor.cc b/paddle/fluid/operators/math/cos_sim_functor.cc index cbe16999124a67ac764afade92f7320a12129cd1..f7770050bee442ae3bcfe826be606a85d35608eb 100644 --- a/paddle/fluid/operators/math/cos_sim_functor.cc +++ b/paddle/fluid/operators/math/cos_sim_functor.cc @@ -14,6 +14,12 @@ limitations under the License. */ #include "paddle/fluid/operators/math/cos_sim_functor.h" +namespace paddle { +namespace platform { +class CPUDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace math { diff --git a/paddle/fluid/operators/math/cos_sim_functor.h b/paddle/fluid/operators/math/cos_sim_functor.h index d74662e68e770f0b5d83a150e60156a61cefcf58..9a24bfc3312665be296f2a6c89da27758d43550e 100644 --- a/paddle/fluid/operators/math/cos_sim_functor.h +++ b/paddle/fluid/operators/math/cos_sim_functor.h @@ -15,6 +15,7 @@ limitations under the License. */ #pragma once #include #include + #include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/hostdevice.h" @@ -43,6 +44,7 @@ struct CosSimFunctor { tep_x = x[i]; tep_y = y[i]; xx += tep_x * tep_x; + yy += tep_y * tep_y; xy += tep_x * tep_y; } diff --git a/paddle/fluid/operators/math/cpu_vec.h b/paddle/fluid/operators/math/cpu_vec.h index 925f3b6161ae8506107f917196e77ecb2d9c5593..eb7c622e596ce4781f30bb6cc071a5a7adb09350 100644 --- a/paddle/fluid/operators/math/cpu_vec.h +++ b/paddle/fluid/operators/math/cpu_vec.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/platform/cpu_info.h" #include "paddle/fluid/platform/enforce.h" diff --git a/paddle/fluid/operators/math/cpu_vec_test.cc b/paddle/fluid/operators/math/cpu_vec_test.cc index 6490d81cec7c70ee5332c2667a5fb79f01e10311..07fe9c30f39bf44c3ec7aa33a3f3dd63f50a1e9a 100644 --- a/paddle/fluid/operators/math/cpu_vec_test.cc +++ b/paddle/fluid/operators/math/cpu_vec_test.cc @@ -16,12 +16,10 @@ limitations under the License. */ #include #include #include -#include "gflags/gflags.h" + #include "glog/logging.h" #include "gtest/gtest.h" - #include "paddle/fluid/operators/math/cpu_vec.h" -#include "paddle/fluid/platform/port.h" inline double GetCurrentUS() { struct timeval time; diff --git a/paddle/fluid/operators/math/cross_entropy.cc b/paddle/fluid/operators/math/cross_entropy.cc index 7a1ed47d182a080e10aa7ce5d95f605eb2a151a1..23840143a443da106349214966aee78f50b25088 100644 --- a/paddle/fluid/operators/math/cross_entropy.cc +++ b/paddle/fluid/operators/math/cross_entropy.cc @@ -14,6 +14,12 @@ limitations under the License. */ #include "paddle/fluid/operators/math/cross_entropy.h" +namespace paddle { +namespace platform { +class CPUDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace math { diff --git a/paddle/fluid/operators/math/gru_compute.cc b/paddle/fluid/operators/math/gru_compute.cc index 07c5cbf33378e6f6cee8a82448f55399966a2574..4b8a6274cceaccaad9000c8d0a415a486b44b2f0 100644 --- a/paddle/fluid/operators/math/gru_compute.cc +++ b/paddle/fluid/operators/math/gru_compute.cc @@ -10,10 +10,17 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/gru_compute.h" + #include "paddle/fluid/operators/math/blas.h" #include "paddle/fluid/operators/math/detail/gru_cpu_kernel.h" #include "paddle/fluid/operators/math/detail/gru_kernel.h" +namespace paddle { +namespace platform { +class CPUDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace math { diff --git a/paddle/fluid/operators/math/im2col.cc b/paddle/fluid/operators/math/im2col.cc index 6fb393d791cc2a077dbcd0a912bcf31b5d59ad65..8efd35ca108100e4d224890846433433702c57a9 100644 --- a/paddle/fluid/operators/math/im2col.cc +++ b/paddle/fluid/operators/math/im2col.cc @@ -13,9 +13,15 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/im2col.h" -#include + #include "paddle/fluid/operators/math/im2col_cfo_cpu.h" +namespace paddle { +namespace platform { +class CPUDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace math { diff --git a/paddle/fluid/operators/math/lstm_compute.cc b/paddle/fluid/operators/math/lstm_compute.cc index 94bbcbb50670d9f0b11b77cf6a54a99c227521bf..7e74f6880196d343b2901fd86e5bc82f12247d5c 100644 --- a/paddle/fluid/operators/math/lstm_compute.cc +++ b/paddle/fluid/operators/math/lstm_compute.cc @@ -13,9 +13,16 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/lstm_compute.h" + #include "paddle/fluid/operators/math/detail/lstm_cpu_kernel.h" #include "paddle/fluid/operators/math/detail/lstm_kernel.h" +namespace paddle { +namespace platform { +class CPUDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace math { diff --git a/paddle/fluid/operators/math/matrix_bit_code.cc b/paddle/fluid/operators/math/matrix_bit_code.cc index d6f51c6e5c693becb14ff0bac0088bb9dc2b2f55..7c50ba630dbd91ef8c6d51cbde862336b5ab83cb 100644 --- a/paddle/fluid/operators/math/matrix_bit_code.cc +++ b/paddle/fluid/operators/math/matrix_bit_code.cc @@ -13,8 +13,6 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/matrix_bit_code.h" -#include -#include namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/math/matrix_inverse.cu.cc b/paddle/fluid/operators/math/matrix_inverse.cu.cc index 614f89a048c4e92e758ddb39da43322be284f9e5..950aed0aa497416665d4ebc8b7dfc95f812bfb7d 100644 --- a/paddle/fluid/operators/math/matrix_inverse.cu.cc +++ b/paddle/fluid/operators/math/matrix_inverse.cu.cc @@ -12,14 +12,21 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include "paddle/fluid/operators/math/matrix_inverse.h" -#include "paddle/fluid/memory/malloc.h" #include "paddle/fluid/operators/math/blas.h" +namespace paddle { +namespace platform { +class CUDADeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace math { +template +class MatrixInverseFunctor; + template class MatrixInverseFunctor { public: diff --git a/paddle/fluid/operators/math/pooling.cc b/paddle/fluid/operators/math/pooling.cc index 1e86c2e7a32bcc6fb4e080885dfdfb94e4f8a2e2..40cea7483f39781a46689ecd1aa21d0bf8cf2c07 100644 --- a/paddle/fluid/operators/math/pooling.cc +++ b/paddle/fluid/operators/math/pooling.cc @@ -13,9 +13,6 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/pooling.h" #include -#include -#include -#include "paddle/fluid/operators/math/math_function.h" namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/math/sample_prob.cc b/paddle/fluid/operators/math/sample_prob.cc index 99aa318453eae161807353198a78e11085cd6237..16342493e45977e1b42b60be6857a1b6116cf121 100644 --- a/paddle/fluid/operators/math/sample_prob.cc +++ b/paddle/fluid/operators/math/sample_prob.cc @@ -14,6 +14,12 @@ limitations under the License. */ #include "paddle/fluid/operators/math/sample_prob.h" +namespace paddle { +namespace platform { +class CPUDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace math { diff --git a/paddle/fluid/operators/math/sample_prob.h b/paddle/fluid/operators/math/sample_prob.h index e5a6d84cb2b0527c606e62a19ef02d669945ecb1..7b08df660a0bb74b3f641e5aef7275b28ca9d9d7 100644 --- a/paddle/fluid/operators/math/sample_prob.h +++ b/paddle/fluid/operators/math/sample_prob.h @@ -16,10 +16,17 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/eigen.h" + #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/operators/math/sampler.h" +namespace paddle { +namespace platform { +class CUDADeviceContext; +} // namespace platform +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/math/segment_pooling.cu b/paddle/fluid/operators/math/segment_pooling.cu new file mode 100644 index 0000000000000000000000000000000000000000..37155fa184e23a3582226eaef2d2813e79e7c61c --- /dev/null +++ b/paddle/fluid/operators/math/segment_pooling.cu @@ -0,0 +1,364 @@ +/* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include +#include "paddle/fluid/operators/gather.cu.h" +#include "paddle/fluid/operators/math/math_function.h" +#include "paddle/fluid/operators/math/segment_pooling.h" +#include "paddle/fluid/platform/cuda_primitives.h" +#include "paddle/fluid/platform/gpu_launch_param_config.h" + +namespace paddle { +namespace operators { + +using Tensor = framework::Tensor; + +template +__global__ void SegmentMeanCustomKernel( + const Index* segment_ids, const T* input, T* output, T* summed_ids, + const Index input_length_size, const Index inner_dim_size, + const Index output_length_size, const Index total_stripe_count) { + CUDA_KERNEL_LOOP(stripe_index, total_stripe_count) { + const Index segment_offset = stripe_index % inner_dim_size; + const Index dim_index_base = + stripe_index / inner_dim_size * Index(DimTileSize); + const Index actual_height = + min(Index(DimTileSize), input_length_size - dim_index_base); + + Index first_segment_id = segment_ids[dim_index_base]; + Index last_segment_id = -1; + if (dim_index_base > 0) { + last_segment_id = segment_ids[dim_index_base - 1]; + } + if (segment_offset == 0) { + T sum = T(0); + for (Index j = 0; j < actual_height; j++) { + Index current_segment_id = segment_ids[dim_index_base + j]; + // Note(ZHUI): following check may cause + // cudaErrorLaunchOutOfResources. + // PADDLE_ENFORCE(current_segment_id >= last_segment_id, + // "the segment ids should be sorted, but got " + // "segment_ids[%d]:%d > segment_ids[%d]:%d.", + // dim_index_base + j - 1, dim_index_base + j, + // last_segment_id, current_segment_id); + + if (j > 0 && current_segment_id > last_segment_id) { + if (last_segment_id == first_segment_id) { + platform::CudaAtomicAdd(summed_ids + last_segment_id, sum); + } else { + *(summed_ids + last_segment_id) = sum; + } + sum = T(0); + } + sum += T(1); + last_segment_id = current_segment_id; + } + platform::CudaAtomicAdd(summed_ids + last_segment_id, sum); + } + // ensure last_segment_id is the largest + last_segment_id = output_length_size; + __syncthreads(); + T sum = T(0); + for (Index j = 0; j < actual_height; j++) { + Index current_segment_id = segment_ids[dim_index_base + j]; + if (current_segment_id > last_segment_id) { + const Index output_index = + last_segment_id * inner_dim_size + segment_offset; + if (last_segment_id == first_segment_id) { + platform::CudaAtomicAdd(output + output_index, + sum / *(summed_ids + last_segment_id)); + } else { + *(output + output_index) = sum / *(summed_ids + last_segment_id); + } + sum = T(0); + } + sum += input[(dim_index_base + j) * inner_dim_size + segment_offset]; + last_segment_id = current_segment_id; + } + const Index output_index = + last_segment_id * inner_dim_size + segment_offset; + platform::CudaAtomicAdd(output + output_index, + sum / *(summed_ids + last_segment_id)); + } +} + +template +__global__ void SegmentOpsKernel(const Index* segment_ids, const T* input, + T* output, Helper h, Pool pool) { + CUDA_KERNEL_LOOP(stripe_index, h.total_stripe_count) { + Index segment_offset, dim_index_base, actual_height; + Index inner_dim_size = h.inner_dim_size; + h.calculate(stripe_index, &segment_offset, &dim_index_base, &actual_height); + + T minmax = pool.initial(); + Index first_segment_id = segment_ids[dim_index_base]; + // -1 is for the start value when interval_id = 0 + Index last_segment_id = -1; + if (dim_index_base > 0) { + last_segment_id = segment_ids[dim_index_base - 1]; + } + + for (Index j = 0; j < actual_height; j++) { + Index current_segment_id = segment_ids[dim_index_base + j]; + // ensure the segment_ids is sorted. + PADDLE_ENFORCE(current_segment_id >= last_segment_id, + "The segment ids should be sorted, but got " + "segment_ids[%d]:%d > segment_ids[%d]:%d.", + dim_index_base + j - 1, dim_index_base + j, + last_segment_id, current_segment_id); + + if (current_segment_id > last_segment_id) { + // reset the interval value which do not have corresponding ids. + for (Index interval_id = last_segment_id + 1; + interval_id < current_segment_id; ++interval_id) { + *(output + interval_id * inner_dim_size + segment_offset) = 0; + } + // don't update result when j=0 + if (j > 0) { + const Index output_index = + last_segment_id * inner_dim_size + segment_offset; + if (last_segment_id == first_segment_id) { + pool.atomic(output + output_index, minmax); + } else { + *(output + output_index) = minmax; + } + minmax = pool.initial(); + } + } + pool.compute( + input[(dim_index_base + j) * inner_dim_size + segment_offset], + &minmax); + last_segment_id = current_segment_id; + } + const Index output_index = + last_segment_id * inner_dim_size + segment_offset; + pool.atomic(output + output_index, minmax); + } +} + +template +__global__ void SegmentIndexGradKernel(const Index* segment_ids, const T* input, + const T* output, const T* out_grad, + T* in_grad, Helper h) { + CUDA_KERNEL_LOOP(stripe_index, h.total_stripe_count) { + Index segment_offset, dim_index_base, actual_height; + h.calculate(stripe_index, &segment_offset, &dim_index_base, &actual_height); + + for (Index j = 0; j < actual_height; j++) { + Index current_segment_id = segment_ids[dim_index_base + j]; + Index input_index = + (dim_index_base + j) * h.inner_dim_size + segment_offset; + Index output_index = + current_segment_id * h.inner_dim_size + segment_offset; + if (input[input_index] == output[output_index]) { + in_grad[input_index] = out_grad[output_index]; + } + } + } +} + +template +class MaxPool { + public: + DEVICE inline T initial() { return static_cast(-FLT_MAX); } + DEVICE inline void compute(const T& x, T* y) { *y = *y > x ? *y : x; } + DEVICE inline T atomic(T* address, const T val) { + return platform::CudaAtomicMax(address, val); + } +}; + +template +class MinPool { + public: + DEVICE inline T initial() { return static_cast(FLT_MAX); } + DEVICE inline void compute(const T& x, T* y) { *y = *y < x ? *y : x; } + DEVICE inline T atomic(T* address, const T val) { + return platform::CudaAtomicMin(address, val); + } +}; + +template +class SumPool { + public: + DEVICE inline T initial() { return static_cast(0); } + DEVICE inline void compute(const T& x, T* y) { *y = *y + x; } + DEVICE inline T atomic(T* address, const T val) { + return platform::CudaAtomicAdd(address, val); + } +}; + +template +class ArrangeHelper { + public: + const T input_total_size; + const T input_length_size; + const T output_length_size; + T inner_dim_size; + T total_stripe_count; + const T DimTileSize = 8; + + ArrangeHelper(T a, T b, T c) + : input_total_size(a), input_length_size(b), output_length_size(c) { + T input_outer_dim_num_stripe = + (input_length_size + DimTileSize - 1) / DimTileSize; + inner_dim_size = input_total_size / input_length_size; + total_stripe_count = inner_dim_size * input_outer_dim_num_stripe; + } + + DEVICE inline void calculate(T stripe_index, T* segment_offset, + T* dim_index_base, T* actual_height) { + *segment_offset = stripe_index % inner_dim_size; + *dim_index_base = stripe_index / inner_dim_size * DimTileSize; + *actual_height = min(DimTileSize, input_length_size - *dim_index_base); + } +}; + +template +void SegmentPoolCUDAGradFunctor(const platform::CUDADeviceContext& ctx, + const framework::Tensor& input, + const framework::Tensor& segment_ids, + const framework::Tensor& output, + const framework::Tensor& out_grad, + framework::Tensor* in_grad, + const std::string pooltype = "SUM") { + auto h = ArrangeHelper(input.numel(), segment_ids.dims()[0], + output.dims()[0]); + auto config = platform::GetGpuLaunchConfig1D(ctx, h.total_stripe_count); + if (pooltype == "MAX" || pooltype == "MIN") { + SegmentIndexGradKernel><<< + config.block_per_grid.x, config.thread_per_block.x, 0, ctx.stream()>>>( + segment_ids.data(), input.data(), output.data(), + out_grad.data(), in_grad->data(), h); + } else { + PADDLE_THROW(platform::errors::InvalidArgument( + "Unsupported segment pooling grad operation, Only MAX, MIN " + "available, but got %s.", + pooltype)); + } +} + +template +__global__ void SimpleDiv(T* x, const T* y, const int len, const int dim) { + for (int i = blockIdx.x; i < len; i += gridDim.x) { + __shared__ T y_i; + auto base = i * dim; + if (threadIdx.x == 0) { + y_i = y[i]; + } + __syncthreads(); + for (int j = threadIdx.x; j < dim; j += blockDim.x) { + x[base + j] /= y_i; + } + } +} + +template +class SegmentPoolFunctor { + public: + void operator()(const platform::CUDADeviceContext& ctx, + const framework::Tensor& input, + const framework::Tensor& segment_ids, + framework::Tensor* output, + framework::Tensor* summed_ids = nullptr, + const std::string pooltype = "SUM") { + auto h = ArrangeHelper(input.numel(), segment_ids.dims()[0], + output->dims()[0]); + auto config = platform::GetGpuLaunchConfig1D(ctx, h.total_stripe_count); + if (pooltype == "MEAN") { + SegmentMeanCustomKernel< + T, IndexT, IndexT(8)><<>>( + segment_ids.data(), input.data(), output->data(), + summed_ids->data(), h.input_length_size, h.inner_dim_size, + h.output_length_size, h.total_stripe_count); + } else if (pooltype == "SUM") { + SumPool pool; + SegmentOpsKernel< + T, IndexT, ArrangeHelper, + SumPool><<>>(segment_ids.data(), + input.data(), output->data(), h, + pool); + } else if (pooltype == "MAX") { + MaxPool pool; + SegmentOpsKernel< + T, IndexT, ArrangeHelper, + MaxPool><<>>(segment_ids.data(), + input.data(), output->data(), h, + pool); + } else if (pooltype == "MIN") { + MinPool pool; + SegmentOpsKernel< + T, IndexT, ArrangeHelper, + MinPool><<>>(segment_ids.data(), + input.data(), output->data(), h, + pool); + } else { + PADDLE_THROW(platform::errors::InvalidArgument( + "Unsupported segment pooling operation, Only MEAN, SUM, MAX, MIN " + "available, but got %s.", + pooltype)); + } + } +}; + +template +class SegmentPoolGradFunctor { + public: + void operator()(const platform::CUDADeviceContext& context, + const framework::Tensor& input, + const framework::Tensor& output, + const framework::Tensor& out_grad, + const framework::Tensor& segments, framework::Tensor* in_grad, + const framework::Tensor* summed_ids = nullptr, + const std::string pooltype = "SUM") { + if (pooltype == "MAX" || pooltype == "MIN") { + SegmentPoolCUDAGradFunctor(context, input, segments, output, + out_grad, in_grad, pooltype); + } else if (pooltype == "MEAN") { + framework::Tensor mean_grad; + mean_grad.mutable_data(input.dims(), context.GetPlace()); + framework::TensorCopy(out_grad, context.GetPlace(), context, &mean_grad); + int len = output.dims()[0]; + int dim = output.numel() / len; + auto config = platform::GetGpuLaunchConfig1D(context, len); + SimpleDiv<<>>(mean_grad.data(), + summed_ids->data(), len, dim); + GPUGather(context, mean_grad, segments, in_grad); + } else if (pooltype == "SUM") { + GPUGather(context, out_grad, segments, in_grad); + } else { + PADDLE_THROW(platform::errors::InvalidArgument( + "Unsupported segment pooling operation, Only MEAN, SUM, MAX, MIN " + "available, but got %s.", + pooltype)); + } + } +}; + +using CUDA = paddle::platform::CUDADeviceContext; +template class SegmentPoolFunctor; +template class SegmentPoolFunctor; +template class SegmentPoolFunctor; +template class SegmentPoolFunctor; +template class SegmentPoolGradFunctor; +template class SegmentPoolGradFunctor; +template class SegmentPoolGradFunctor; +template class SegmentPoolGradFunctor; + +} // namespace operators +} // namespace paddle diff --git a/paddle/fluid/operators/math/selected_rows_functor_test.cu.cc b/paddle/fluid/operators/math/selected_rows_functor_test.cu.cc index 81ad620466ee3d9fcd9d3e057cfd0dd9053089f0..5cb1cc5dc037146bbfa17f81753aee0c02997477 100644 --- a/paddle/fluid/operators/math/selected_rows_functor_test.cu.cc +++ b/paddle/fluid/operators/math/selected_rows_functor_test.cu.cc @@ -13,7 +13,6 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/selected_rows_functor.h" -#include #include "gtest/gtest.h" #include "paddle/fluid/operators/math/math_function.h" diff --git a/paddle/fluid/operators/math/sequence2batch.cc b/paddle/fluid/operators/math/sequence2batch.cc index 300a3692012ab9631d7049d2042e91fb99ad3c21..852700fa7ff3c1f992eb48b5c684cfaad96cfc31 100644 --- a/paddle/fluid/operators/math/sequence2batch.cc +++ b/paddle/fluid/operators/math/sequence2batch.cc @@ -14,6 +14,12 @@ limitations under the License. */ #include "paddle/fluid/operators/math/sequence2batch.h" +namespace paddle { +namespace platform { +class CPUDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace math { diff --git a/paddle/fluid/operators/math/sequence_padding.cc b/paddle/fluid/operators/math/sequence_padding.cc index 076df0176429c7bbd350698af0137fbcca18f806..e29313e9f742ca27f56649278b6a1583e8cabb02 100644 --- a/paddle/fluid/operators/math/sequence_padding.cc +++ b/paddle/fluid/operators/math/sequence_padding.cc @@ -14,6 +14,16 @@ limitations under the License. */ #include "paddle/fluid/operators/math/sequence_padding.h" +namespace paddle { +namespace framework { +class LoDTensor; +class Tensor; +} // namespace framework +namespace platform { +class CPUDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { namespace math { diff --git a/paddle/fluid/operators/math/sequence_padding_test.cc b/paddle/fluid/operators/math/sequence_padding_test.cc index eab4553ae8b9745b71a21198d0e5ccf1b8a62a35..8892a17886a736d8a4490d1240861e178afc27d4 100644 --- a/paddle/fluid/operators/math/sequence_padding_test.cc +++ b/paddle/fluid/operators/math/sequence_padding_test.cc @@ -13,8 +13,8 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/sequence_padding.h" + #include -#include template void TestSequencePadding(const DeviceContext &context, diff --git a/paddle/fluid/operators/math/sequence_scale.cc b/paddle/fluid/operators/math/sequence_scale.cc index ee5b22ca855b4fa26e9626aadb84fa9b93b72952..78cbdf311ad1982a5de8913e3fb432e2d824b643 100644 --- a/paddle/fluid/operators/math/sequence_scale.cc +++ b/paddle/fluid/operators/math/sequence_scale.cc @@ -14,6 +14,12 @@ limitations under the License. */ #include "paddle/fluid/operators/math/sequence_scale.h" +namespace paddle { +namespace framework { +class LoDTensor; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { namespace math { diff --git a/paddle/fluid/operators/math/sequence_scale.h b/paddle/fluid/operators/math/sequence_scale.h index 202243985c125cd518a27477eb370bf1a325fe16..d84513e024d7f62195fc3153e1f6e446104d0359 100644 --- a/paddle/fluid/operators/math/sequence_scale.h +++ b/paddle/fluid/operators/math/sequence_scale.h @@ -17,6 +17,12 @@ limitations under the License. */ #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +class LoDTensor; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { namespace math { @@ -40,6 +46,7 @@ namespace math { * total_sequence_length is the sum of all sequences' * length. * \param scales Array. The i-th sequence will be scaled by scales[i]. + * \param num_seq Number of sequence * */ diff --git a/paddle/fluid/operators/math/vol2col.cc b/paddle/fluid/operators/math/vol2col.cc index 794fc647172b040d4e926144a87b84eb4e5216b0..42bf1f471deb5238fdb34dcd9284972930305f58 100644 --- a/paddle/fluid/operators/math/vol2col.cc +++ b/paddle/fluid/operators/math/vol2col.cc @@ -13,7 +13,12 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/vol2col.h" -#include + +namespace paddle { +namespace platform { +class CPUDeviceContext; +} // namespace platform +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/math/vol2col_test.cc b/paddle/fluid/operators/math/vol2col_test.cc index aa979c4f10907e604758c3e2cfb776cb994c9ceb..6ed5a0943ebb329d15521f2610cecfba16a782d1 100644 --- a/paddle/fluid/operators/math/vol2col_test.cc +++ b/paddle/fluid/operators/math/vol2col_test.cc @@ -13,9 +13,8 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/vol2col.h" + #include -#include -#include template void testVol2col() { diff --git a/paddle/fluid/operators/matmul_op_xpu.cc b/paddle/fluid/operators/matmul_op_xpu.cc new file mode 100644 index 0000000000000000000000000000000000000000..ff038d7ef1223d7e7ddafe942492b845172d4986 --- /dev/null +++ b/paddle/fluid/operators/matmul_op_xpu.cc @@ -0,0 +1,343 @@ +/* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#ifdef PADDLE_WITH_XPU + +#include +#include +#include +#include "paddle/fluid/framework/op_registry.h" +#include "paddle/fluid/operators/math/blas.h" + +namespace paddle { +namespace operators { + +static framework::DDim RowMatrixFromVector(const framework::DDim &x_dim) { + if (x_dim.size() > 1) { + return x_dim; + } + return framework::make_ddim({1, x_dim[0]}); +} + +static framework::Tensor FoldInitDims(const framework::Tensor &input) { + auto output = input; + auto in_dims = input.dims(); + if (in_dims.size() == 3) { + output.Resize({in_dims[0] * in_dims[1], in_dims[2]}); + } + return output; +} +/** + * Get column matrix shape from a vector shape. If the ran of y_dim > 1, the + * original y_dim is returned. + */ +static framework::DDim ColumnMatrixFromVector(const framework::DDim &y_dim) { + if (y_dim.size() > 1) { + return y_dim; + } + return framework::make_ddim({y_dim[0], 1}); +} + +static void ReshapeTensorIntoMatrixSequence( + framework::Tensor *x, const math::MatDescriptor &descriptor) { + int64_t h, w; + h = descriptor.height_; + w = descriptor.width_; + if (descriptor.trans_) { + std::swap(w, h); + } + if (descriptor.batch_size_) { + x->Resize({descriptor.batch_size_, h, w}); + } else { + x->Resize({h, w}); + } +} +/** + * Reshape the x,y,out tensor to 3-D or 2-D tensor by matrix descriptor + * Out = matmul(x, y) + * + * This method will first calculate X,Y matrix sequence, and then calculate + * the out shape. + * + * Assume X = [BatchSize, H1, W1], Y = [BatchSize, H2, W2] + * The out = [BatchSize, H1, W2] + * + * If there is no batch size in `X` and `Y`, the out will be [H1, W2] + * If any of `X` and `Y` has batch size BatchSize, the out will have the + * BatchSize. + */ +static void ReshapeXYOutIntoMatrixSequence(framework::Tensor *x, + framework::Tensor *y, + framework::Tensor *out, bool trans_x, + bool trans_y) { + auto x_dim = RowMatrixFromVector(x->dims()); + auto y_dim = ColumnMatrixFromVector(y->dims()); + auto mat_dim_x = math::CreateMatrixDescriptor(x_dim, 0, trans_x); + auto mat_dim_y = math::CreateMatrixDescriptor(y_dim, 0, trans_y); + if (mat_dim_x.batch_size_ == 0 && mat_dim_y.batch_size_ == 0) { + out->Resize({mat_dim_x.height_, mat_dim_y.width_}); + } else { + out->Resize({std::max(mat_dim_x.batch_size_, mat_dim_y.batch_size_), + mat_dim_x.height_, mat_dim_y.width_}); + } + + ReshapeTensorIntoMatrixSequence(x, mat_dim_x); + ReshapeTensorIntoMatrixSequence(y, mat_dim_y); +} + +template +class MatMulXPUKernel : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext &context) const override { + auto *x = context.Input("X"); + auto *y = context.Input("Y"); + auto *out = context.Output("Out"); + out->mutable_data(context.GetPlace()); + + auto mat_dim_a = math::CreateMatrixDescriptor( + RowMatrixFromVector(x->dims()), 0, context.Attr("transpose_X")); + auto mat_dim_b = + math::CreateMatrixDescriptor(ColumnMatrixFromVector(y->dims()), 0, + context.Attr("transpose_Y")); + PADDLE_ENFORCE_EQ( + mat_dim_a.width_, mat_dim_b.height_, + platform::errors::InvalidArgument("Shape mistake in matmul_op")); + PADDLE_ENFORCE_EQ( + mat_dim_a.batch_size_, mat_dim_b.batch_size_, + platform::errors::InvalidArgument("Shape mistake in matmul_op")); + T alpha = static_cast(context.Attr("alpha")); + + auto &dev_ctx = context.template device_context(); + float *data_c = out->data(); + if (mat_dim_a.batch_size_ == 0 || mat_dim_a.batch_size_ == 1) { + int r = + xpu::fc_int16(dev_ctx.x_context(), mat_dim_a.trans_, mat_dim_b.trans_, + mat_dim_a.height_, mat_dim_b.width_, mat_dim_a.width_, + alpha, x->data(), y->data(), 0.0f, data_c); + PADDLE_ENFORCE_EQ( + r, XPU_SUCCESS, + platform::errors::External( + "XPU API return wrong value[%d], please check whether " + "Baidu Kunlun Card is properly installed.", + r)); + } else { + // batch matmul + int r = xpu::batched_gemm_int16(dev_ctx.x_context(), mat_dim_a.trans_, + mat_dim_b.trans_, mat_dim_a.batch_size_, + mat_dim_a.height_, mat_dim_b.width_, + mat_dim_a.width_, alpha, x->data(), + y->data(), data_c, nullptr, nullptr); + PADDLE_ENFORCE_EQ( + r, XPU_SUCCESS, + platform::errors::External( + "XPU API return wrong value[%d], please check whether " + "Baidu Kunlun Card is properly installed.", + r)); + } + } +}; + +// Reshape a rank-3 tensor from P x M x N to M x (P * N). +// (Warning: This requires transposing data and writes into new memory.) +// Identity op if the tensor is not of rank 3. +template +static framework::Tensor XPUFoldHeadAndLastDims( + const DeviceContext &context, const framework::Tensor &input) { + auto in_dims = input.dims(); + if (in_dims.size() != 3) { + return input; + } + + framework::Tensor output; + output.Resize({in_dims[1], in_dims[0], in_dims[2]}); + output.mutable_data(context.GetPlace()); + std::vector in_shape_host = {static_cast(in_dims[0]), + static_cast(in_dims[1]), + static_cast(in_dims[2])}; + std::vector axis_host = {1, 0, 2}; + + int r = xpu::transpose(context.x_context(), input.data(), output.data(), + in_shape_host.data(), axis_host.data(), /*ndims=*/3); + PADDLE_ENFORCE_EQ(r, XPU_SUCCESS, + platform::errors::External( + "XPU API return wrong value[%d], please check whether " + "Baidu Kunlun Card is properly installed.", + r)); + output.Resize({in_dims[1], in_dims[0] * in_dims[2]}); + + return output; +} + +// Using dimensional constraints on matrix multiplication, it is +// straight-forward to check the following table for when X and Y +// are both matrices. +// +// transpose_X | False | True | False | True +// transpose_Y | False | False | True | True +// -----------+----------+----------+----------+----------- +// dX = | dOut Y^T | Y dOut^T | dOut Y | Y^T dOut^T +// dY = | X^T dOut | X dOut | dOut^T X | dOut^T X^T +// +// When X is a vector of size K, we treat it instead as a matrix of shape +// (1, K). Similarly, when Y is a vector of size K, we treat it instead as +// a matrix of shape (K, 1). +// +// When X and Y are both 3-dimensional tensors, then the first dimension +// the batch dimension can be ignored and the exact same formulas apply +// as for two matrices. +// +// Finally, when, e.g., X is a 3-dimensional tensor but Y is a matrix, we end +// up with formulas like +// +// dY_{ij} = \sum_{p, m} X_{pmi} dOut_{pmj} +// +// To handle this sort of scenario, we reshape X : P x M x K, dOut: P x M x N +// to X: (P * M) x K, dOut: (P * M) x N. +template +class MatMulGradXPUKernel : public framework::OpKernel { + public: + void MatMul(const framework::ExecutionContext &context, + const framework::Tensor &a, bool trans_a, + const framework::Tensor &b, bool trans_b, + framework::Tensor *out) const { + out->mutable_data(context.GetPlace()); + auto mat_dim_a = math::CreateMatrixDescriptor(a.dims(), 0, trans_a); + auto mat_dim_b = math::CreateMatrixDescriptor(b.dims(), 0, trans_b); + PADDLE_ENFORCE_EQ( + mat_dim_a.width_, mat_dim_b.height_, + platform::errors::InvalidArgument("Shape mistake in matmul_grad_op")); + PADDLE_ENFORCE_EQ( + mat_dim_a.batch_size_, mat_dim_b.batch_size_, + platform::errors::InvalidArgument("Shape mistake in matmul_grad_op")); + T alpha = static_cast(context.Attr("alpha")); + + auto &dev_ctx = context.template device_context(); + float *data_c = out->data(); + if (mat_dim_a.batch_size_ == 0 || mat_dim_a.batch_size_ == 1) { + int r = + xpu::fc_int16(dev_ctx.x_context(), mat_dim_a.trans_, mat_dim_b.trans_, + mat_dim_a.height_, mat_dim_b.width_, mat_dim_a.width_, + alpha, a.data(), b.data(), 0.0f, data_c); + PADDLE_ENFORCE_EQ( + r, XPU_SUCCESS, + platform::errors::External( + "XPU API return wrong value[%d], please check whether " + "Baidu Kunlun Card is properly installed.", + r)); + } else { + // batch matmul + int r = xpu::batched_gemm_int16(dev_ctx.x_context(), mat_dim_a.trans_, + mat_dim_b.trans_, mat_dim_a.batch_size_, + mat_dim_a.height_, mat_dim_b.width_, + mat_dim_a.width_, alpha, a.data(), + b.data(), data_c, nullptr, nullptr); + PADDLE_ENFORCE_EQ( + r, XPU_SUCCESS, + platform::errors::External( + "XPU API return wrong value[%d], please check whether " + "Baidu Kunlun Card is properly installed.", + r)); + } + } + + void CalcInputGrad(const framework::ExecutionContext &context, + const framework::Tensor &a, bool trans_a, + bool is_fold_init_dims_a, const framework::Tensor &b, + bool trans_b, bool is_fold_init_dims_b, + framework::Tensor *out) const { + if (out == nullptr) return; + bool need_combine = (a.dims().size() == 3 || b.dims().size() == 3) && + out->dims().size() == 2; + if (!need_combine) { + MatMul(context, a, trans_a, b, trans_b, out); + } else { + auto &dev_ctx = context.template device_context(); + MatMul( + context, is_fold_init_dims_a + ? FoldInitDims(a) + : XPUFoldHeadAndLastDims(dev_ctx, a), + trans_a, is_fold_init_dims_b + ? FoldInitDims(b) + : XPUFoldHeadAndLastDims(dev_ctx, b), + trans_b, out); + } + } + + void Compute(const framework::ExecutionContext &context) const override { + auto x = *context.Input("X"); + auto y = *context.Input("Y"); + auto dout = + *context.Input(framework::GradVarName("Out")); + auto *dx = context.Output(framework::GradVarName("X")); + auto *dy = context.Output(framework::GradVarName("Y")); + bool transpose_x = context.Attr("transpose_X"); + bool transpose_y = context.Attr("transpose_Y"); + + ReshapeXYOutIntoMatrixSequence(&x, &y, &dout, transpose_x, transpose_y); + + framework::DDim dx_dims; + if (dx) { + dx_dims = dx->dims(); + if (dx_dims != x.dims()) { + dx->Resize(x.dims()); + } + } + + framework::DDim dy_dims; + if (dy) { + dy_dims = dy->dims(); + if (dy_dims != y.dims()) { + dy->Resize(y.dims()); + } + } + + if (transpose_x && transpose_y) { + CalcInputGrad(context, y, true, true, dout, true, false, dx); + CalcInputGrad(context, dout, true, true, x, true, false, dy); + } else if (transpose_x) { + CalcInputGrad(context, y, false, false, dout, true, false, dx); + CalcInputGrad(context, x, false, false, dout, false, true, dy); + } else if (transpose_y) { + CalcInputGrad(context, dout, false, false, y, false, true, dx); + CalcInputGrad(context, dout, true, true, x, false, true, dy); + } else { + CalcInputGrad(context, dout, false, false, y, true, false, dx); + CalcInputGrad(context, x, true, true, dout, false, true, dy); + } + + if (dx) { + if (dx_dims != x.dims()) { + dx->Resize(dx_dims); + } + } + + if (dy) { + if (dy_dims != y.dims()) { + dy->Resize(dy_dims); + } + } + } +}; + +} // namespace operators +} // namespace paddle + +namespace ops = paddle::operators; + +REGISTER_OP_XPU_KERNEL( + matmul, ops::MatMulXPUKernel); +REGISTER_OP_XPU_KERNEL( + matmul_grad, + ops::MatMulGradXPUKernel); +#endif diff --git a/paddle/fluid/operators/matmul_v2_op.cu b/paddle/fluid/operators/matmul_v2_op.cu index 64ec65a23419725c7cc481beadb9383402a426bd..91958513ddb3c9923487e5de86f188bc3a0a6f65 100644 --- a/paddle/fluid/operators/matmul_v2_op.cu +++ b/paddle/fluid/operators/matmul_v2_op.cu @@ -17,10 +17,12 @@ limitations under the License. */ namespace ops = paddle::operators; namespace plf = paddle::platform; -REGISTER_OP_CUDA_KERNEL(matmul_v2, - ops::MatMulV2Kernel, - ops::MatMulV2Kernel); +REGISTER_OP_CUDA_KERNEL( + matmul_v2, ops::MatMulV2Kernel, + ops::MatMulV2Kernel, + ops::MatMulV2Kernel); REGISTER_OP_CUDA_KERNEL( matmul_v2_grad, ops::MatMulV2GradKernel, - ops::MatMulV2GradKernel); + ops::MatMulV2GradKernel, + ops::MatMulV2GradKernel); diff --git a/paddle/fluid/operators/matmul_v2_op.h b/paddle/fluid/operators/matmul_v2_op.h index dc83e4d964815ec46452bb0086cf17437b3846a4..ee485bd1711e21b86cdf65fdb2f5f0793e42beb4 100644 --- a/paddle/fluid/operators/matmul_v2_op.h +++ b/paddle/fluid/operators/matmul_v2_op.h @@ -65,7 +65,7 @@ static void GetBroadcastFromDims(const int x_ndim, const std::int64_t* x_dims, std::int64_t* x_bd_dims, std::int64_t* y_bd_dims, std::int64_t* out_bd_dims) { - const int ndim = std::max(x_ndim, y_ndim); + const int ndim = (std::max)(x_ndim, y_ndim); std::fill(x_bd_dims, x_bd_dims + ndim - x_ndim, 1); std::fill(y_bd_dims, y_bd_dims + ndim - y_ndim, 1); std::copy(x_dims, x_dims + x_ndim, x_bd_dims + ndim - x_ndim); @@ -79,7 +79,7 @@ static void GetBroadcastFromDims(const int x_ndim, const std::int64_t* x_dims, if (x_bd_dims[i] == 0 || y_bd_dims[i] == 0) { out_bd_dims[i] = 0; } else { - out_bd_dims[i] = std::max(x_bd_dims[i], y_bd_dims[i]); + out_bd_dims[i] = (std::max)(x_bd_dims[i], y_bd_dims[i]); } } } @@ -163,17 +163,20 @@ void MatMulFunction(const Tensor* X, const Tensor* Y, if (trans_y) { const int M = Y->numel() / N; VLOG(3) << "MatMul's case 2"; - blas.GEMV(false, M, N, 1., y_data, x_data, 0., Out->data()); + blas.GEMV(false, M, N, static_cast(1), y_data, x_data, + static_cast(0), Out->data()); } else { const int M = y_dims[y_ndim - 1]; const int batch_size = Y->numel() / (M * N); if (batch_size == 1) { VLOG(3) << "MatMul's case 3"; - blas.GEMV(true, N, M, 1., y_data, x_data, 0., Out->data()); + blas.GEMV(true, N, M, static_cast(1), y_data, x_data, + static_cast(0), Out->data()); } else { VLOG(3) << "MatMul's case 4"; - blas.BatchedGEMM(CblasTrans, CblasNoTrans, M, 1, N, 1.0f, y_data, - x_data, 0, Out->data(), batch_size, M * N, 0); + blas.BatchedGEMM(CblasTrans, CblasNoTrans, M, 1, N, static_cast(1), + y_data, x_data, static_cast(0), Out->data(), + batch_size, M * N, 0); } } return; @@ -205,16 +208,19 @@ void MatMulFunction(const Tensor* X, const Tensor* Y, const int batch_size = X->numel() / (M * N); if (batch_size == 1) { VLOG(3) << "MatMul's case 5"; - blas.GEMV(true, N, M, 1.0f, x_data, y_data, 0.0f, Out->data()); + blas.GEMV(true, N, M, static_cast(1), x_data, y_data, + static_cast(0), Out->data()); } else { VLOG(3) << "MatMul's case 6"; - blas.BatchedGEMM(CblasTrans, CblasNoTrans, M, 1, N, 1.0f, x_data, - y_data, 0, Out->data(), batch_size, M * N, 0); + blas.BatchedGEMM(CblasTrans, CblasNoTrans, M, 1, N, static_cast(1), + x_data, y_data, static_cast(0), Out->data(), + batch_size, M * N, 0); } } else { const int M = X->numel() / N; VLOG(3) << "MatMul's case 7"; - blas.GEMV(false, M, N, 1.0f, x_data, y_data, 0.0f, Out->data()); + blas.GEMV(false, M, N, static_cast(1), x_data, y_data, + static_cast(0), Out->data()); } return; } @@ -229,7 +235,7 @@ void MatMulFunction(const Tensor* X, const Tensor* Y, "Input(X) has error dim.")); } const int N = trans_y ? y_dims[y_ndim - 2] : y_dims[y_ndim - 1]; - const int ndim = std::max(x_ndim, y_ndim); + const int ndim = (std::max)(x_ndim, y_ndim); std::vector x_broadcast_dims(ndim); std::vector y_broadcast_dims(ndim); std::vector out_broadcast_dims(ndim); @@ -263,37 +269,38 @@ void MatMulFunction(const Tensor* X, const Tensor* Y, if (x_batch_size == 1 && y_batch_size == 1) { VLOG(3) << "MatMul's case 8"; blas.GEMM(trans_x ? CblasTrans : CblasNoTrans, - trans_y ? CblasTrans : CblasNoTrans, M, N, K, 1.0f, x_data, - y_data, 0.0f, Out->data()); + trans_y ? CblasTrans : CblasNoTrans, M, N, K, static_cast(1), + x_data, y_data, static_cast(0), Out->data()); } else if (x_batch_size == 1) { if (M == 1 && trans_y) { VLOG(3) << "MatMul's case 9"; - blas.GEMV(false, y_batch_size * N, K, 1.0f, y_data, x_data, 0.0f, - Out->data()); + blas.GEMV(false, y_batch_size * N, K, static_cast(1), y_data, x_data, + static_cast(0), Out->data()); } else { VLOG(3) << "MatMul's case 10"; blas.BatchedGEMM(trans_x ? CblasTrans : CblasNoTrans, - trans_y ? CblasTrans : CblasNoTrans, M, N, K, 1.0f, - x_data, y_data, 0, Out->data(), out_batch_size, 0, - K * N); + trans_y ? CblasTrans : CblasNoTrans, M, N, K, + static_cast(1), x_data, y_data, static_cast(0), + Out->data(), out_batch_size, 0, K * N); } } else if (y_batch_size == 1) { if (!trans_x) { VLOG(3) << "MatMul's case 11"; blas.GEMM(CblasNoTrans, trans_y ? CblasTrans : CblasNoTrans, - x_batch_size * M, N, K, 1.0f, x_data, y_data, 0.0f, - Out->data()); + x_batch_size * M, N, K, static_cast(1), x_data, y_data, + static_cast(0), Out->data()); } else { VLOG(3) << "MatMul's case 12"; blas.BatchedGEMM(CblasTrans, trans_y ? CblasTrans : CblasNoTrans, M, N, K, - 1.0f, x_data, y_data, 0, Out->data(), out_batch_size, - M * K, 0); + static_cast(1), x_data, y_data, static_cast(0), + Out->data(), out_batch_size, M * K, 0); } } else if (!is_broadcast_dims) { VLOG(3) << "MatMul's case 13"; blas.BatchedGEMM(trans_x ? CblasTrans : CblasNoTrans, - trans_y ? CblasTrans : CblasNoTrans, M, N, K, 1.0f, x_data, - y_data, 0, Out->data(), out_batch_size, M * K, K * N); + trans_y ? CblasTrans : CblasNoTrans, M, N, K, + static_cast(1), x_data, y_data, static_cast(0), + Out->data(), out_batch_size, M * K, K * N); } else { // in the case, can't use stridedgemm std::vector x_ptr(out_batch_size); @@ -314,9 +321,9 @@ void MatMulFunction(const Tensor* X, const Tensor* Y, } VLOG(3) << "MatMul's case 14"; blas.BatchedGEMM(trans_x ? CblasTrans : CblasNoTrans, - trans_y ? CblasTrans : CblasNoTrans, M, N, K, 1.0f, - x_ptr.data(), y_ptr.data(), 0.0f, out_ptr.data(), - out_batch_size); + trans_y ? CblasTrans : CblasNoTrans, M, N, K, + static_cast(1), x_ptr.data(), y_ptr.data(), + static_cast(0), out_ptr.data(), out_batch_size); } } diff --git a/paddle/fluid/operators/max_sequence_len_op.cc b/paddle/fluid/operators/max_sequence_len_op.cc index b47ec8bc70a207c5f662e9a7ee0cdd944936e7a0..4f73de086f2a9f32ee07d644e8c470234cc947ba 100644 --- a/paddle/fluid/operators/max_sequence_len_op.cc +++ b/paddle/fluid/operators/max_sequence_len_op.cc @@ -12,10 +12,22 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include "paddle/fluid/framework/lod_rank_table.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/operator.h" +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class Scope; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/merge_lod_tensor_op.cc b/paddle/fluid/operators/merge_lod_tensor_op.cc index 87d914aa79753fbdc9d859c43bbf749b3ddf95cf..584de34c5d329c184eb7d26c6efad82ed4978fb2 100644 --- a/paddle/fluid/operators/merge_lod_tensor_op.cc +++ b/paddle/fluid/operators/merge_lod_tensor_op.cc @@ -13,7 +13,18 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/memory/memcpy.h" + +namespace paddle { +namespace framework { +class InferShapeContext; +class LoDTensor; +class OpDesc; +class Scope; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/mkldnn/activation_mkldnn_op.cc b/paddle/fluid/operators/mkldnn/activation_mkldnn_op.cc index 487deb11b48687a91174c8d9baf072a5ca929de8..aecf67fc3bb1d91c96ace38c8e7d83ea6af3a88b 100644 --- a/paddle/fluid/operators/mkldnn/activation_mkldnn_op.cc +++ b/paddle/fluid/operators/mkldnn/activation_mkldnn_op.cc @@ -15,6 +15,15 @@ #include "paddle/fluid/operators/activation_op.h" #include "paddle/fluid/platform/mkldnn_reuse.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +namespace platform { +class MKLDNNDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/mkldnn/batch_norm_mkldnn_op.cc b/paddle/fluid/operators/mkldnn/batch_norm_mkldnn_op.cc index 8a02a697cbb21b28e14f19c6202ae0777b5102de..98f368aa7a90859121a06e42705aee6355182b27 100644 --- a/paddle/fluid/operators/mkldnn/batch_norm_mkldnn_op.cc +++ b/paddle/fluid/operators/mkldnn/batch_norm_mkldnn_op.cc @@ -12,10 +12,18 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include "mkldnn.hpp" #include "paddle/fluid/operators/batch_norm_op.h" #include "paddle/fluid/platform/mkldnn_reuse.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +namespace platform { +class MKLDNNDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/mkldnn/conv_mkldnn_op.cc b/paddle/fluid/operators/mkldnn/conv_mkldnn_op.cc index 19ee8764e27b235a2fa8e0720c11bce601b030db..7a4e11091fd3a6d064f3c4d905bb65c61d62d882 100644 --- a/paddle/fluid/operators/mkldnn/conv_mkldnn_op.cc +++ b/paddle/fluid/operators/mkldnn/conv_mkldnn_op.cc @@ -12,12 +12,16 @@ See the License for the specific language governing permissions and limitations under the License. */ -#include #include "paddle/fluid/framework/data_layout_transform.h" -#include "paddle/fluid/memory/malloc.h" #include "paddle/fluid/operators/conv_op.h" #include "paddle/fluid/platform/mkldnn_reuse.h" +namespace paddle { +namespace platform { +class MKLDNNDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { @@ -51,12 +55,12 @@ inline MKLDNNMemoryFormat GetWeightsFormat(const MKLDNNMemoryFormat format, } } -static mkldnn::memory::data_type GetDstType(bool is_int8, +static mkldnn::memory::data_type GetDstType(bool is_int8, bool is_bfloat16, bool force_fp32_output, std::string fuse_activation, bool fuse_residual_conn, const Tensor* residual_param) { - auto dst_dt = mkldnn::memory::data_type::f32; // uint8_t, int8_t, float + auto dst_dt = mkldnn::memory::data_type::f32; if (is_int8) { dst_dt = (fuse_activation == "relu" || fuse_activation == "relu6") ? mkldnn::memory::data_type::u8 @@ -68,6 +72,13 @@ static mkldnn::memory::data_type GetDstType(bool is_int8, auto residual_dt = framework::ToMKLDNNDataType(residual_param->type()); if (dst_dt != residual_dt) dst_dt = residual_dt; } + } else { + if (!force_fp32_output && is_bfloat16) { + dst_dt = mkldnn::memory::data_type::bf16; + if (fuse_residual_conn && residual_param) { + dst_dt = framework::ToMKLDNNDataType(residual_param->type()); + } + } } return dst_dt; } @@ -220,12 +231,15 @@ class ConvMKLDNNHandlerT src_tz.size(), chosen_memory_format); } } - - const auto src_md = platform::MKLDNNMemDesc( - src_tz, platform::MKLDNNGetDataType(), chosen_memory_format); - const auto weights_md = - platform::MKLDNNMemDesc(weights_tz, platform::MKLDNNGetDataType(), - MKLDNNMemoryFormat::any); + auto data_type = mkldnn::memory::data_type::f32; + if (ctx.Attr("mkldnn_data_type") == "bfloat16" || + std::is_same::value) + data_type = mkldnn::memory::data_type::bf16; + + const auto src_md = + platform::MKLDNNMemDesc(src_tz, data_type, chosen_memory_format); + const auto weights_md = platform::MKLDNNMemDesc(weights_tz, data_type, + MKLDNNMemoryFormat::any); const auto dst_md = platform::MKLDNNMemDesc( dst_tz, platform::MKLDNNGetDataType(), chosen_memory_format); @@ -237,8 +251,8 @@ class ConvMKLDNNHandlerT if (bias) { auto bias_tz = framework::vectorize(bias->dims()); - auto bias_md = platform::MKLDNNMemDesc( - bias_tz, platform::MKLDNNGetDataType(), MKLDNNMemoryFormat::x); + auto bias_md = + platform::MKLDNNMemDesc(bias_tz, data_type, MKLDNNMemoryFormat::x); this->AcquireForwardPrimitiveDescriptor( conv_attr, fwd_prop_kind, dnnl::algorithm::convolution_direct, @@ -380,15 +394,21 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel { "Operator DNNL Conv must use CPUPlace")); bool is_INT8 = std::is_same::value || std::is_same::value; + bool is_BFLOAT16 = ctx.Attr("mkldnn_data_type") == "bfloat16"; + auto residual_param = ctx.Input("ResidualData"); + bool fuse_residual_conn = ctx.Attr("fuse_residual_connection"); + std::string fuse_activation = ctx.Attr("fuse_activation"); + bool force_fp32_output = ctx.Attr("force_fp32_output"); + auto dst_dt = + GetDstType(is_INT8, is_BFLOAT16, force_fp32_output, fuse_activation, + fuse_residual_conn, residual_param); if (!is_INT8) { - ComputeFP32(ctx); + if (dst_dt == mkldnn::memory::data_type::f32) { + ComputeFP32(ctx); + } else if (dst_dt == mkldnn::memory::data_type::bf16) { + ComputeFP32(ctx); + } } else { - std::string fuse_activation = ctx.Attr("fuse_activation"); - bool fuse_residual_conn = ctx.Attr("fuse_residual_connection"); - bool force_fp32_output = ctx.Attr("force_fp32_output"); - auto residual_param = ctx.Input("ResidualData"); - auto dst_dt = GetDstType(true, force_fp32_output, fuse_activation, - fuse_residual_conn, residual_param); if (dst_dt == mkldnn::memory::data_type::f32) { ComputeINT8(ctx); } else if (dst_dt == mkldnn::memory::data_type::u8) { @@ -1099,6 +1119,10 @@ REGISTER_OP_KERNEL_WITH_CUSTOM_TYPE(conv2d, MKLDNN, ops::kConvMKLDNNFP32, ops::ConvMKLDNNOpKernel); +REGISTER_OP_KERNEL_WITH_CUSTOM_TYPE( + conv2d, MKLDNN, ::paddle::platform::CPUPlace, BF16, ops::kConvMKLDNNFP32, + ops::ConvMKLDNNOpKernel); + REGISTER_OP_KERNEL_WITH_CUSTOM_TYPE(conv2d, MKLDNN, ::paddle::platform::CPUPlace, U8, ops::kConvMKLDNNINT8, diff --git a/paddle/fluid/operators/mkldnn/dequantize_mkldnn_op.cc b/paddle/fluid/operators/mkldnn/dequantize_mkldnn_op.cc index 540642c7140e707441ad9c4d71ae9b777863a7bd..70d4c34d9c5c4d28e2705c85f56bc65f90fbb3cf 100644 --- a/paddle/fluid/operators/mkldnn/dequantize_mkldnn_op.cc +++ b/paddle/fluid/operators/mkldnn/dequantize_mkldnn_op.cc @@ -110,4 +110,5 @@ class DeQuantOpKernel : public framework::OpKernel { namespace ops = paddle::operators; REGISTER_OP_KERNEL(dequantize, MKLDNN, ::paddle::platform::CPUPlace, - ops::DeQuantOpKernel, ops::DeQuantOpKernel); + ops::DeQuantOpKernel, ops::DeQuantOpKernel, + ops::DeQuantOpKernel); diff --git a/paddle/fluid/operators/mkldnn/fc_mkldnn_op.cc b/paddle/fluid/operators/mkldnn/fc_mkldnn_op.cc index 40737f4cd029b47dbd03069a2e4d29ad33121eb9..0bec5619f5427adf9c38bbdd6480b6da28894b8a 100644 --- a/paddle/fluid/operators/mkldnn/fc_mkldnn_op.cc +++ b/paddle/fluid/operators/mkldnn/fc_mkldnn_op.cc @@ -12,13 +12,20 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include #include -#include "paddle/fluid/framework/tensor.h" + #include "paddle/fluid/operators/fc_op.h" -#include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/mkldnn_helper.h" -#include "paddle/fluid/platform/variant.h" + +namespace paddle { +namespace framework { +class LoDTensor; +class Tensor; +} // namespace framework +namespace platform { +class MKLDNNDeviceContext; +} // namespace platform +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/mkldnn/lrn_mkldnn_op.cc b/paddle/fluid/operators/mkldnn/lrn_mkldnn_op.cc index 00c10cecbf4828d2157505abca49763b6ded1b16..9ee653ec58912b326dc44f3f2289bd9dac6b3c62 100644 --- a/paddle/fluid/operators/mkldnn/lrn_mkldnn_op.cc +++ b/paddle/fluid/operators/mkldnn/lrn_mkldnn_op.cc @@ -12,10 +12,17 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include "paddle/fluid/framework/tensor.h" -#include "paddle/fluid/operators/lrn_op.h" #include "paddle/fluid/platform/mkldnn_reuse.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +namespace platform { +class MKLDNNDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/mkldnn/matmul_mkldnn_op.cc b/paddle/fluid/operators/mkldnn/matmul_mkldnn_op.cc index 5ca0ed1182e74e681e9e36e55b61f58b5da66170..3ae34fe0e9011940dabd85661e3c122e953d24c3 100644 --- a/paddle/fluid/operators/mkldnn/matmul_mkldnn_op.cc +++ b/paddle/fluid/operators/mkldnn/matmul_mkldnn_op.cc @@ -12,12 +12,18 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include "mkldnn.hpp" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/operators/math/blas.h" #include "paddle/fluid/platform/mkldnn_helper.h" +namespace paddle { +namespace platform { +class MKLDNNDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/mkldnn/mul_mkldnn_op.cc b/paddle/fluid/operators/mkldnn/mul_mkldnn_op.cc index 1dd1ad117862d92aa8d358f04f8b03fec7abafff..4f0b7cab47efe33fbb297542975590b44f62c75a 100644 --- a/paddle/fluid/operators/mkldnn/mul_mkldnn_op.cc +++ b/paddle/fluid/operators/mkldnn/mul_mkldnn_op.cc @@ -13,12 +13,18 @@ See the License for the specific language governing permissions and limitations under the License. */ #include -#include -#include "paddle/fluid/framework/data_layout_transform.h" -#include "paddle/fluid/memory/malloc.h" + #include "paddle/fluid/operators/mul_op.h" #include "paddle/fluid/platform/mkldnn_helper.h" -#include "paddle/fluid/platform/mkldnn_reuse.h" + +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +namespace platform { +class MKLDNNDeviceContext; +} // namespace platform +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/mkldnn/pool_mkldnn_op.cc b/paddle/fluid/operators/mkldnn/pool_mkldnn_op.cc index 9df30b3295c00e69a956ee84770dfeb19a83487c..bf12c61a4d9b16ffa41a44a1b53d6ec9daa3717d 100644 --- a/paddle/fluid/operators/mkldnn/pool_mkldnn_op.cc +++ b/paddle/fluid/operators/mkldnn/pool_mkldnn_op.cc @@ -12,7 +12,6 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include "paddle/fluid/framework/data_layout_transform.h" #include "paddle/fluid/operators/pool_op.h" #include "paddle/fluid/platform/mkldnn_helper.h" #include "paddle/fluid/platform/mkldnn_reuse.h" diff --git a/paddle/fluid/operators/mkldnn/softmax_mkldnn_op.cc b/paddle/fluid/operators/mkldnn/softmax_mkldnn_op.cc index 5014381a4e215917883f45288de4482db5cbf79c..0b159f9dcfaafde04dec862749d724ed02554978 100644 --- a/paddle/fluid/operators/mkldnn/softmax_mkldnn_op.cc +++ b/paddle/fluid/operators/mkldnn/softmax_mkldnn_op.cc @@ -12,12 +12,18 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include -#include -#include "mkldnn.hpp" #include "paddle/fluid/operators/softmax_op.h" #include "paddle/fluid/platform/mkldnn_reuse.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +namespace platform { +class MKLDNNDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/mkldnn/sum_mkldnn_op.cc b/paddle/fluid/operators/mkldnn/sum_mkldnn_op.cc index 1e0e13abb7c641d441b9c6188f7b9103c4ec7292..414312fe97ecb7d9ca1c53022e4340e8aed7b8a8 100644 --- a/paddle/fluid/operators/mkldnn/sum_mkldnn_op.cc +++ b/paddle/fluid/operators/mkldnn/sum_mkldnn_op.cc @@ -24,13 +24,19 @@ See the License for the specific language governing permissions and limitations under the License. */ -#include "mkldnn.hpp" -#include "paddle/fluid/framework/tensor.h" -#include "paddle/fluid/operators/math/selected_rows_functor.h" #include "paddle/fluid/operators/sum_op.h" -#include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/mkldnn_helper.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +namespace platform { +class CPUDeviceContext; +class MKLDNNDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/xpu/mul_xpu_op.cc b/paddle/fluid/operators/mul_op_xpu.cc similarity index 100% rename from paddle/fluid/operators/xpu/mul_xpu_op.cc rename to paddle/fluid/operators/mul_op_xpu.cc index 79aae71c3045f938f4b8f0d3e05ce7cf358c41ea..0c8469101abf097629e2768ee35f72a0e0f72bc5 100644 --- a/paddle/fluid/operators/xpu/mul_xpu_op.cc +++ b/paddle/fluid/operators/mul_op_xpu.cc @@ -14,11 +14,11 @@ limitations under the License. */ #ifdef PADDLE_WITH_XPU +#include "paddle/fluid/operators/mul_op.h" #include #include #include #include -#include "paddle/fluid/operators/mul_op.h" namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/nccl/nccl_gpu_common.cc b/paddle/fluid/operators/nccl/nccl_gpu_common.cc index 70d80e26e5c6c51f4f0fbac304f48c5f4b3f62b2..169af47e95acdcc9450a892cd1dddc0d3ec9de1e 100644 --- a/paddle/fluid/operators/nccl/nccl_gpu_common.cc +++ b/paddle/fluid/operators/nccl/nccl_gpu_common.cc @@ -13,7 +13,6 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/nccl/nccl_gpu_common.h" -#include "paddle/fluid/platform/gpu_info.h" namespace paddle { namespace platform { diff --git a/paddle/fluid/operators/norm_utils.cu.h b/paddle/fluid/operators/norm_utils.cu.h index 07333f1ae11c3889b543ca6d327e480607a4bcea..02dcb4045f4cdee6840f5caef98d7329e706eaf2 100644 --- a/paddle/fluid/operators/norm_utils.cu.h +++ b/paddle/fluid/operators/norm_utils.cu.h @@ -40,12 +40,12 @@ using DataLayout = framework::DataLayout; // (np.mean(dy, axis=(n,h,w)) - dy) + inv_var.pow(3) / NxHxW * // np.sum(dy, // axis=(n,h,w)) * (x - mean) * -// (np.mean(ddx, axis=(n,h,w)) - ddx) + ddr * (dy * inv_var - +// (np.mean(ddx, axis=(n,h,w)) - ddx)) + ddr * (dy * inv_var - // inv_var // * // np.mean(dy, axis=(n,h,w)) - // inv_var.pow(3) * (x - mean) * np.mean(dy * (x - mean), -// axis=(n,h,w)))) +// axis=(n,h,w))) template __global__ void DoubleGradComputeDX(const T *x, const T *mean, @@ -138,7 +138,7 @@ __global__ void DoubleGradComputeDX(const T *x, const T *mean, ? (j / sample_size * C + i) * sample_size + j % sample_size : j * outer_size + i; dx[index] += (dy[index] * var_val - dy_sum_val / inner_size * var_val - - (x[index] - mean_val) * var_val * + (x[index] - mean_val) * var_val * var_val * dy_mul_x_sub_mean_sum_val * var_val / inner_size) * ddscale[i]; } @@ -326,19 +326,57 @@ __global__ void DoubleGradComputeDScaleWithGlobal( } // math: dx = ddscale * dy * inv_var -// math: ddy = scale * ddx * inv_var template -__global__ void DoubleGradComputeDataWithGlobal( - const T *dy, const T *scale, const T *variance, const double epsilon, - const int C, const int sample_size, const int num, T *dx) { +__global__ void DoubleGradComputeDXWithGlobal(const T *dy, const T *ddscale, + const T *variance, + const double epsilon, const int C, + const int sample_size, + const int num, T *dx) { int gid = blockIdx.x * blockDim.x + threadIdx.x; int stride = blockDim.x * gridDim.x; - if (scale != nullptr) { + if (ddscale != nullptr) { for (int i = gid; i < num; i += stride) { const int c = layout == framework::DataLayout::kNCHW ? i / sample_size % C : i % C; T inv_var = 1.0 / sqrt(variance[c] + epsilon); - dx[i] = dy[i] * scale[c] * inv_var; + dx[i] = dy[i] * ddscale[c] * inv_var; + } + } +} + +// math: ddy = scale * ddx * inv_var + ddbias + +// ddscale * (x - mean) * inv_var +template +__global__ void DoubleGradComputeDDYWithGlobal( + const T *ddx, const T *scale, const T *mean, const T *variance, const T *x, + const T *ddbias, const T *ddscale, const double epsilon, const int C, + const int sample_size, const int num, T *ddy) { + int gid = blockIdx.x * blockDim.x + threadIdx.x; + int stride = blockDim.x * gridDim.x; + + if (ddx != nullptr) { + for (int i = gid; i < num; i += stride) { + const int c = + layout == framework::DataLayout::kNCHW ? i / sample_size % C : i % C; + T inv_var = 1.0 / sqrt(variance[c] + epsilon); + ddy[i] += ddx[i] * scale[c] * inv_var; + } + } + __syncthreads(); + if (ddscale != nullptr) { + for (int i = gid; i < num; i += stride) { + const int c = + layout == framework::DataLayout::kNCHW ? i / sample_size % C : i % C; + T inv_var = 1.0 / sqrt(variance[c] + epsilon); + ddy[i] += (x[i] - mean[c]) * inv_var * ddscale[c]; + } + } + __syncthreads(); + if (ddbias != nullptr) { + for (int i = gid; i < num; i += stride) { + const int c = + layout == framework::DataLayout::kNCHW ? i / sample_size % C : i % C; + ddy[i] += ddbias[c]; } } } @@ -383,8 +421,11 @@ void NormDoubleGradFunctor(const framework::ExecutionContext &ctx, const T *mean_data, *variance_data; if (use_global_stats) { + const auto *running_mean = ctx.Input("Mean"); const auto *running_var = ctx.Input("Variance"); + const auto *running_mean_data = running_mean->template data(); const auto *running_var_data = running_var->template data(); + mean_data = running_mean_data; variance_data = running_var_data; } else { const T *smean_data = Saved_mean->data(); @@ -398,12 +439,12 @@ void NormDoubleGradFunctor(const framework::ExecutionContext &ctx, set_constant(dev_ctx, dX, static_cast(0)); if (use_global_stats) { if (data_layout == DataLayout::kNHWC) { - DoubleGradComputeDataWithGlobal< + DoubleGradComputeDXWithGlobal< T, DataLayout::kNHWC><<>>( dy_data, ddscale_data, variance_data, epsilon, C, sample_size, num, dx_data); } else { - DoubleGradComputeDataWithGlobal< + DoubleGradComputeDXWithGlobal< T, DataLayout::kNCHW><<>>( dy_data, ddscale_data, variance_data, epsilon, C, sample_size, num, dx_data); @@ -456,15 +497,15 @@ void NormDoubleGradFunctor(const framework::ExecutionContext &ctx, set_constant(dev_ctx, ddY, static_cast(0)); if (use_global_stats) { if (data_layout == DataLayout::kNHWC) { - DoubleGradComputeDataWithGlobal< + DoubleGradComputeDDYWithGlobal< T, DataLayout::kNHWC><<>>( - ddx_data, scale_data, variance_data, epsilon, C, sample_size, num, - ddy_data); + ddx_data, scale_data, mean_data, variance_data, x_data, ddbias_data, + ddscale_data, epsilon, C, sample_size, num, ddy_data); } else { - DoubleGradComputeDataWithGlobal< + DoubleGradComputeDDYWithGlobal< T, DataLayout::kNCHW><<>>( - ddx_data, scale_data, variance_data, epsilon, C, sample_size, num, - ddy_data); + ddx_data, scale_data, mean_data, variance_data, x_data, ddbias_data, + ddscale_data, epsilon, C, sample_size, num, ddy_data); } } else { if (data_layout == DataLayout::kNHWC) { diff --git a/paddle/fluid/operators/op_debug_string_test.cc b/paddle/fluid/operators/op_debug_string_test.cc index 67d71fe82ad0b52906312d3e214e73d56012824f..7c1cf9109c566625743f69de8cf3213855600c69 100644 --- a/paddle/fluid/operators/op_debug_string_test.cc +++ b/paddle/fluid/operators/op_debug_string_test.cc @@ -13,10 +13,10 @@ // limitations under the License. #include + #include "glog/logging.h" #include "gtest/gtest.h" #include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/framework/operator.h" USE_OP(elementwise_add_grad); diff --git a/paddle/fluid/operators/optimizers/dpsgd_op.cc b/paddle/fluid/operators/optimizers/dpsgd_op.cc index 3bcf17fc7b37f1c29e23ccccc7d4df92e705671e..bce00933420e4cfa750e93d563070cc48051d6cc 100644 --- a/paddle/fluid/operators/optimizers/dpsgd_op.cc +++ b/paddle/fluid/operators/optimizers/dpsgd_op.cc @@ -24,32 +24,45 @@ class DpsgdOp : public framework::OperatorWithKernel { void InferShape(framework::InferShapeContext *ctx) const override { PADDLE_ENFORCE_EQ(ctx->HasInput("Param"), true, - "Input(Param) of DpsgdOp should not be null."); + platform::errors::NotFound( + "Input(Param) of DpsgdOp should not be null.")); PADDLE_ENFORCE_EQ(ctx->HasInput("Grad"), true, - "Input(Grad) of DpsgdOp should not be null."); - PADDLE_ENFORCE_EQ(ctx->HasInput("LearningRate"), true, - "Input(LearningRate) of DpsgdOp should not be null."); + platform::errors::NotFound( + "Input(Grad) of DpsgdOp should not be null.")); + PADDLE_ENFORCE_EQ( + ctx->HasInput("LearningRate"), true, + platform::errors::NotFound( + "Input(LearningRate) of DpsgdOp should not be null.")); PADDLE_ENFORCE_EQ( ctx->GetInputsVarType("Param").front(), framework::proto::VarType::LOD_TENSOR, - "The input var's type should be LoDTensor, but the received is %s", - ctx->Inputs("Param").front(), ctx->GetInputsVarType("Param").front()); + platform::errors::InvalidArgument( + "The input var's type should be LoDTensor, but the received is %s", + ctx->GetInputsVarType("Param").front())); PADDLE_ENFORCE_EQ( ctx->GetInputsVarType("Grad").front(), framework::proto::VarType::LOD_TENSOR, - "The input var's type should be LoDTensor, but the received is %s", - ctx->Inputs("Grad").front(), ctx->GetInputsVarType("Grad").front()); + platform::errors::InvalidArgument( + "The input var's type should be LoDTensor, but the received is %s", + ctx->GetInputsVarType("Grad").front())); PADDLE_ENFORCE_EQ(ctx->HasOutput("ParamOut"), true, - "Output(ParamOut) of DpsgdOp should not be null."); + platform::errors::NotFound( + "Output(ParamOut) of DpsgdOp should not be null.")); auto lr_dims = ctx->GetInputDim("LearningRate"); PADDLE_ENFORCE_EQ(framework::product(lr_dims), 1, - "Learning rate should have 1 dimension"); + platform::errors::InvalidArgument( + "Learning rate should have 1 dimension. But Received " + "LearningRate's dims [%s].", + framework::product(lr_dims))); auto param_dims = ctx->GetInputDim("Param"); PADDLE_ENFORCE_EQ( param_dims, ctx->GetInputDim("Grad"), - "Param and Grad input of DpsgdOp should have same dimension"); + platform::errors::InvalidArgument( + "Param and Grad input of DpsgdOp should have same dimension. But " + "received Para's dim [%s] and Grad's dim [%s].", + param_dims, ctx->GetInputDim("Grad"))); ctx->SetOutputDim("ParamOut", param_dims); } diff --git a/paddle/fluid/operators/optimizers/dpsgd_op.h b/paddle/fluid/operators/optimizers/dpsgd_op.h index 4eb52feb85108637aa4878d3555bc3cbff674420..e52a1dd9db1791e0be82eb1ee47999d2b8f51175 100644 --- a/paddle/fluid/operators/optimizers/dpsgd_op.h +++ b/paddle/fluid/operators/optimizers/dpsgd_op.h @@ -28,17 +28,19 @@ class DpsgdOpKernel : public framework::OpKernel { void Compute(const framework::ExecutionContext &ctx) const override { const auto *param_var = ctx.InputVar("Param"); PADDLE_ENFORCE_EQ(param_var->IsType(), true, - "The Var(%s)'s type should be LoDTensor, " - "but the received is %s", - ctx.InputNames("Param").front(), - framework::ToTypeName(param_var->Type())); + platform::errors::InvalidArgument( + "The Var(%s)'s type should be LoDTensor, " + "but the received is %s", + ctx.InputNames("Param").front(), + framework::ToTypeName(param_var->Type()))); const auto *grad_var = ctx.InputVar("Grad"); PADDLE_ENFORCE_EQ(grad_var->IsType(), true, - "The Var(%s)'s type should be LoDTensor, " - "but the received is %s", - ctx.InputNames("Grad").front(), - framework::ToTypeName(grad_var->Type())); + platform::errors::InvalidArgument( + "The Var(%s)'s type should be LoDTensor, " + "but the received is %s", + ctx.InputNames("Grad").front(), + framework::ToTypeName(grad_var->Type()))); const auto *learning_rate = ctx.Input("LearningRate"); diff --git a/paddle/fluid/operators/optimizers/momentum_op.h b/paddle/fluid/operators/optimizers/momentum_op.h index 10b72524efd4a8f9174eab4f45e6173dc56f2c27..083bd91abfc47a4712563c739b333f7417ce21a0 100644 --- a/paddle/fluid/operators/optimizers/momentum_op.h +++ b/paddle/fluid/operators/optimizers/momentum_op.h @@ -40,43 +40,62 @@ class MomentumOp : public framework::OperatorWithKernel { protected: void InferShape(framework::InferShapeContext* ctx) const override { - PADDLE_ENFORCE(ctx->HasInput("Param"), - "Input(param) of Momentum should not be null."); - PADDLE_ENFORCE(ctx->HasInput("Grad"), - "Input(grad) of Momentum should not be null."); - PADDLE_ENFORCE(ctx->HasInput("Velocity"), - "Input(velocity) of Momentum should not be null."); - PADDLE_ENFORCE(ctx->HasInput("LearningRate"), - "Input(LearningRate) of Momentum should not be null."); - PADDLE_ENFORCE( - ctx->GetInputsVarType("Param").front() == - framework::proto::VarType::LOD_TENSOR, - "The input var's type should be LoDTensor, but the received is %s", - ctx->Inputs("Param").front(), ctx->GetInputsVarType("Param").front()); - - PADDLE_ENFORCE(ctx->HasOutput("ParamOut"), - "Output(ParamOut) of Momentum should not be null."); - PADDLE_ENFORCE(ctx->HasOutput("VelocityOut"), - "Output(VelocityOut) of Momentum should not be null."); + PADDLE_ENFORCE_EQ(ctx->HasInput("Param"), true, + platform::errors::NotFound( + "Input(param) of Momentum should not be null.")); + PADDLE_ENFORCE_EQ(ctx->HasInput("Grad"), true, + platform::errors::NotFound( + "Input(grad) of Momentum should not be null.")); + PADDLE_ENFORCE_EQ(ctx->HasInput("Velocity"), true, + platform::errors::NotFound( + "Input(velocity) of Momentum should not be null.")); + PADDLE_ENFORCE_EQ( + ctx->HasInput("LearningRate"), true, + platform::errors::NotFound( + "Input(LearningRate) of Momentum should not be null.")); + PADDLE_ENFORCE_EQ( + ctx->GetInputsVarType("Param").front(), + framework::proto::VarType::LOD_TENSOR, + platform::errors::InvalidArgument( + "The input var's type should be LoDTensor, but the received is %s", + ctx->GetInputsVarType("Param").front())); + + PADDLE_ENFORCE_EQ(ctx->HasOutput("ParamOut"), true, + platform::errors::NotFound( + "Output(ParamOut) of Momentum should not be null.")); + PADDLE_ENFORCE_EQ( + ctx->HasOutput("VelocityOut"), true, + platform::errors::NotFound( + "Output(VelocityOut) of Momentum should not be null.")); auto lr_dims = ctx->GetInputDim("LearningRate"); PADDLE_ENFORCE_NE(framework::product(lr_dims), 0, - "Maybe the Input variable LearningRate has not " - "been initialized. You may need to confirm " - "if you put exe.run(startup_program) " - "after optimizer.minimize function."); + platform::errors::InvalidArgument( + "Maybe the Input variable LearningRate has not " + "been initialized. You may need to confirm " + "if you put exe.run(startup_program) " + "after optimizer.minimize function.")); PADDLE_ENFORCE_EQ(framework::product(lr_dims), 1, - "Learning_rate should be a scalar"); + platform::errors::InvalidArgument( + "Learning_rate should be a scalar. But Received " + "LearningRate's dim [%s]", + framework::product(lr_dims))); auto param_dim = ctx->GetInputDim("Param"); if (ctx->GetInputsVarType("Grad")[0] == framework::proto::VarType::LOD_TENSOR) { PADDLE_ENFORCE_EQ( param_dim, ctx->GetInputDim("Grad"), - "Param and Grad input of MomentumOp should have the same dimension."); + platform::errors::InvalidArgument( + "Param and Grad input of MomentumOp should have the same " + "dimension. But received Param's dim [%s] and Grad's dim [%s].", + param_dim, ctx->GetInputDim("Grad"))); PADDLE_ENFORCE_EQ( param_dim, ctx->GetInputDim("Velocity"), - "Param and Velocity of MomentumOp should have the same dimension."); + platform::errors::InvalidArgument( + "Param and Velocity of MomentumOp should have the same " + "dimension. But received Param's dim [%s] and Velocity [%s].", + param_dim, ctx->GetInputDim("Velocity"))); } ctx->SetOutputDim("ParamOut", param_dim); @@ -398,10 +417,12 @@ class MomentumOpKernel : public framework::OpKernel { for_range(functor); } } else { - PADDLE_THROW( - string::Sprintf("MomentumOp only supports LoDTensor or SelectedRows " - "gradient, but the received Variable Type is %s", - framework::ToTypeName(grad_var->Type()))); + PADDLE_ENFORCE_EQ(false, true, + platform::errors::PermissionDenied( + "Unsupported Variable Type of Grad " + "in MomentumOp. Excepted LodTensor " + "or SelectedRows, But received [%s]", + paddle::framework::ToTypeName(grad_var->Type()))); } } }; diff --git a/paddle/fluid/operators/optimizers/rmsprop_op.cc b/paddle/fluid/operators/optimizers/rmsprop_op.cc index eeee008cdc53c457146074060d526d8d0e8b43aa..9e7960c237fdec4d61ab8cf2663558b7b596d087 100644 --- a/paddle/fluid/operators/optimizers/rmsprop_op.cc +++ b/paddle/fluid/operators/optimizers/rmsprop_op.cc @@ -22,47 +22,75 @@ class RmspropOp : public framework::OperatorWithKernel { using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext *ctx) const override { - PADDLE_ENFORCE(ctx->HasInput("Param"), - "Input(Param) of RmspropOp should not be null."); - PADDLE_ENFORCE(ctx->HasInput("MeanSquare"), - "Input(MeanSquare) of RmspropOp should not be null."); - PADDLE_ENFORCE(ctx->HasInput("LearningRate"), - "Input(LearningRate) of RmspropOp should not be null."); - PADDLE_ENFORCE(ctx->HasInput("Grad"), - "Input(Grad) of RmspropOp should not be null."); - PADDLE_ENFORCE(ctx->HasInput("Moment"), - "Input(Moment) of RmspropOp should not be null."); - PADDLE_ENFORCE( - ctx->GetInputsVarType("Param").front() == - framework::proto::VarType::LOD_TENSOR, - "The input var's type should be LoDTensor, but the received is %s", - ctx->Inputs("Param").front(), ctx->GetInputsVarType("Param").front()); - - PADDLE_ENFORCE(ctx->HasOutput("ParamOut"), - "Output(param_out) of RmspropOp should not be null."); - PADDLE_ENFORCE(ctx->HasOutput("MomentOut"), - "Output(MomentOut) of RmspropOp should not be null."); - PADDLE_ENFORCE(ctx->HasOutput("MeanSquareOut"), - "Output(MeanSquareOut) of RmspropOp should not be null."); + PADDLE_ENFORCE_EQ(ctx->HasInput("Param"), true, + platform::errors::NotFound( + "Input(Param) of RmspropOp should not be null.")); + PADDLE_ENFORCE_EQ( + ctx->HasInput("MeanSquare"), true, + platform::errors::NotFound( + "Input(MeanSquare) of RmspropOp should not be null.")); + PADDLE_ENFORCE_EQ( + ctx->HasInput("LearningRate"), true, + platform::errors::NotFound( + "Input(LearningRate) of RmspropOp should not be null.")); + PADDLE_ENFORCE_EQ(ctx->HasInput("Grad"), true, + platform::errors::NotFound( + "Input(Grad) of RmspropOp should not be null.")); + PADDLE_ENFORCE_EQ(ctx->HasInput("Moment"), true, + platform::errors::NotFound( + "Input(Moment) of RmspropOp should not be null.")); + PADDLE_ENFORCE_EQ(ctx->GetInputsVarType("Param").front(), + framework::proto::VarType::LOD_TENSOR, + platform::errors::InvalidArgument( + "The input var's type in RmspropOp should be " + "LoDTensor, but the received is %s", + ctx->GetInputsVarType("Param").front())); + + PADDLE_ENFORCE_EQ( + ctx->HasOutput("ParamOut"), true, + platform::errors::NotFound( + "Output(param_out) of RmspropOp should not be null.")); + PADDLE_ENFORCE_EQ( + ctx->HasOutput("MomentOut"), true, + platform::errors::NotFound( + "Output(MomentOut) of RmspropOp should not be null.")); + PADDLE_ENFORCE_EQ( + ctx->HasOutput("MeanSquareOut"), true, + platform::errors::NotFound( + "Output(MeanSquareOut) of RmspropOp should not be null.")); if (ctx->Attrs().Get("centered")) { - PADDLE_ENFORCE(ctx->HasOutput("MeanGradOut"), - "Output(MeanGradOut) of RmspropOp should not be null."); + PADDLE_ENFORCE_EQ( + ctx->HasOutput("MeanGradOut"), true, + platform::errors::NotFound( + "Output(MeanGradOut) of RmspropOp should not be null.")); } auto param_dim = ctx->GetInputDim("Param"); PADDLE_ENFORCE_EQ( param_dim, ctx->GetInputDim("Grad"), - "Param and grad input of RmspropOp should have the same dimension."); + platform::errors::InvalidArgument( + "Param and grad input of RmspropOp should have the same dimension. " + "But received Param's dim [%s] and Grad's dim [%s].", + param_dim, ctx->GetInputDim("Grad"))); PADDLE_ENFORCE_EQ(param_dim, ctx->GetInputDim("Moment"), - "Param and Momentum input of RmspropOp " - "should have the same dimension."); + platform::errors::InvalidArgument( + "Param and Momentum input of RmspropOp " + "should have the same dimension. But received " + "Param's dim [%s] and Moment [%s]", + param_dim, ctx->GetInputDim("Moment"))); PADDLE_ENFORCE_EQ(param_dim, ctx->GetInputDim("MeanSquare"), - "Param and Momentum input of RmspropOp " - "should have the same dimension."); + platform::errors::InvalidArgument( + "Param and Momentum input of RmspropOp " + "should have the same dimension. But received " + "Param's dim [%s] and MeanSquare [%s]", + param_dim, ctx->GetInputDim("MeanSquare"))); auto lr_dim = ctx->GetInputDim("LearningRate"); PADDLE_ENFORCE_EQ(framework::product(lr_dim), 1, - "Learning Rate should be a scalar."); + platform::errors::InvalidArgument( + "Learning Rate of RmspropOp should be a scalar. But " + "received LearningRate's dim [%s]", + framework::product(lr_dim))); ctx->SetOutputDim("ParamOut", param_dim); ctx->SetOutputDim("MomentOut", param_dim); diff --git a/paddle/fluid/operators/optimizers/rmsprop_op.h b/paddle/fluid/operators/optimizers/rmsprop_op.h index 4550052b2d614ccbbb09f4a2b9e747708b2a2baa..1ec712a1431a4657cf1c1456da91fe5369914438 100644 --- a/paddle/fluid/operators/optimizers/rmsprop_op.h +++ b/paddle/fluid/operators/optimizers/rmsprop_op.h @@ -148,11 +148,15 @@ class RmspropOpKernel : public framework::OpKernel { auto &mom_tensor = *ctx.Input("Moment"); PADDLE_ENFORCE_EQ(&p_tensor, param_out, - "Param and ParamOut must be the same Tensor"); + platform::errors::InvalidArgument( + "Param and ParamOut must be the same Tensor")); PADDLE_ENFORCE_EQ(&mom_tensor, moment_out, - "Moment and MomentOut must be the same Tensor"); - PADDLE_ENFORCE_EQ(&ms_tensor, mean_square_out, - "MeanSquare and MeanSquareOut must be the same Tensor"); + platform::errors::InvalidArgument( + "Moment and MomentOut must be the same Tensor")); + PADDLE_ENFORCE_EQ( + &ms_tensor, mean_square_out, + platform::errors::InvalidArgument( + "MeanSquare and MeanSquareOut must be the same Tensor")); auto &dev_ctx = ctx.template device_context(); size_t limit = static_cast(ms_tensor.numel()); @@ -179,8 +183,10 @@ class RmspropOpKernel : public framework::OpKernel { auto &mg_tensor = *ctx.Input("MeanGrad"); auto mg = EigenVector::Flatten(mg_tensor); auto *mean_grad_out = ctx.Output("MeanGradOut"); - PADDLE_ENFORCE_EQ(&mg_tensor, mean_grad_out, - "MeanGrad and MeanGradOut must be the same Tensor"); + PADDLE_ENFORCE_EQ( + &mg_tensor, mean_grad_out, + platform::errors::InvalidArgument( + "MeanGrad and MeanGradOut must be the same Tensor")); auto mg_out = EigenVector::Flatten(*mean_grad_out); mg_out.device(place) = rho * mg + (1 - rho) * g; @@ -198,8 +204,10 @@ class RmspropOpKernel : public framework::OpKernel { if (centered) { auto &mg_tensor = *ctx.Input("MeanGrad"); auto *mean_grad_out = ctx.Output("MeanGradOut"); - PADDLE_ENFORCE_EQ(&mg_tensor, mean_grad_out, - "MeanGrad and MeanGradOut must be the same Tensor"); + PADDLE_ENFORCE_EQ( + &mg_tensor, mean_grad_out, + platform::errors::InvalidArgument( + "MeanGrad and MeanGradOut must be the same Tensor")); for_range(CenteredRmspropFunctor>( param_out->mutable_data(ctx.GetPlace()), mean_square_out->mutable_data(ctx.GetPlace()), @@ -233,8 +241,10 @@ class RmspropOpKernel : public framework::OpKernel { if (centered) { auto &mg_tensor = *ctx.Input("MeanGrad"); auto *mean_grad_out = ctx.Output("MeanGradOut"); - PADDLE_ENFORCE_EQ(&mg_tensor, mean_grad_out, - "MeanGrad and MeanGradOut must be the same Tensor"); + PADDLE_ENFORCE_EQ( + &mg_tensor, mean_grad_out, + platform::errors::InvalidArgument( + "MeanGrad and MeanGradOut must be the same Tensor")); for_range(CenteredRmspropFunctor>( param_out->mutable_data(ctx.GetPlace()), mean_square_out->mutable_data(ctx.GetPlace()), @@ -249,7 +259,12 @@ class RmspropOpKernel : public framework::OpKernel { rho, epsilon, momentum, grad_func)); } } else { - PADDLE_THROW("RMSProp only supports LoDTensor or SelectedRows gradient"); + PADDLE_ENFORCE_EQ(false, true, + platform::errors::PermissionDenied( + "Unsupported Variable Type of Grad " + "in RmspropOp. Excepted LodTensor " + "or SelectedRows, But received [%s]", + paddle::framework::ToTypeName(grad_var->Type()))); } } }; diff --git a/paddle/fluid/operators/optimizers/sgd_op.cc b/paddle/fluid/operators/optimizers/sgd_op.cc index aeff8da70b958a440953824c46a095a4f86b9379..569dbcd6a3ee105ae8dd8570bbb2215c32343d01 100644 --- a/paddle/fluid/operators/optimizers/sgd_op.cc +++ b/paddle/fluid/operators/optimizers/sgd_op.cc @@ -22,23 +22,31 @@ class SGDOp : public framework::OperatorWithKernel { using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext *ctx) const override { - PADDLE_ENFORCE(ctx->HasInput("Param"), - "Input(Param) of SGDOp should not be null."); - PADDLE_ENFORCE(ctx->HasInput("Grad"), - "Input(Grad) of SGDOp should not be null."); - PADDLE_ENFORCE(ctx->HasInput("LearningRate"), - "Input(LearningRate) of SGDOp should not be null."); - PADDLE_ENFORCE(ctx->HasOutput("ParamOut"), - "Output(ParamOut) of SGDOp should not be null."); + PADDLE_ENFORCE_EQ(ctx->HasInput("Param"), true, + platform::errors::NotFound( + "Input(Param) of SGDOp should not be null.")); + PADDLE_ENFORCE_EQ( + ctx->HasInput("Grad"), true, + platform::errors::NotFound("Input(Grad) of SGDOp should not be null.")); + PADDLE_ENFORCE_EQ(ctx->HasInput("LearningRate"), true, + platform::errors::NotFound( + "Input(LearningRate) of SGDOp should not be null.")); + PADDLE_ENFORCE_EQ(ctx->HasOutput("ParamOut"), true, + platform::errors::NotFound( + "Output(ParamOut) of SGDOp should not be null.")); auto lr_dims = ctx->GetInputDim("LearningRate"); PADDLE_ENFORCE_NE(framework::product(lr_dims), 0, - "Maybe the Input variable LearningRate has not " - "been initialized. You may need to confirm " - "if you put exe.run(startup_program) " - "after optimizer.minimize function."); + platform::errors::NotFound( + "Maybe the Input variable LearningRate has not " + "been initialized. You may need to confirm " + "if you put exe.run(startup_program) " + "after optimizer.minimize function.")); PADDLE_ENFORCE_EQ(framework::product(lr_dims), 1, - "Learning rate should have 1 element"); + platform::errors::InvalidArgument( + "Learning rate should have 1 element. But received " + "LearningRate dims [%s]", + framework::product(lr_dims))); auto param_dim = ctx->GetInputDim("Param"); if (ctx->GetInputsVarType("Grad")[0] == framework::proto::VarType::LOD_TENSOR) { diff --git a/paddle/fluid/operators/optimizers/sgd_op.cu b/paddle/fluid/operators/optimizers/sgd_op.cu index b70f24e0e5e8f2f6c6ac974942ccd4c4c3ad41bb..a5d9ad271f23a4d6a17f07a6c5b6a7d57aa7a3c5 100644 --- a/paddle/fluid/operators/optimizers/sgd_op.cu +++ b/paddle/fluid/operators/optimizers/sgd_op.cu @@ -57,11 +57,12 @@ class SGDOpKernel public: void Compute(const framework::ExecutionContext& ctx) const override { const auto* param_var = ctx.InputVar("Param"); - PADDLE_ENFORCE(param_var->IsType(), - "The Var(%s)'s type should be LoDTensor, " - "but the received is %s", - ctx.InputNames("Param").front(), - framework::ToTypeName(param_var->Type())); + PADDLE_ENFORCE_EQ(param_var->IsType(), true, + platform::errors::InvalidArgument( + "The Var(%s)'s type should be LoDTensor, " + "but the received is %s", + ctx.InputNames("Param").front(), + paddle::framework::ToTypeName(param_var->Type()))); auto* param = ctx.Input("Param"); auto* param_out = ctx.Output("ParamOut"); @@ -91,18 +92,30 @@ class SGDOpKernel // TODO(qijun): In Sparse SGD operator, in-place update is enforced. // This manual optimization brings difficulty to track data dependency. // It's better to find a more elegant solution. - PADDLE_ENFORCE_EQ(param, param_out); + PADDLE_ENFORCE_EQ( + param, param_out, + platform::errors::InvalidArgument( + "The input tensor Param of SgdOp should be equal with ParamOut " + "if variable's type is SelectedRows.")); auto* grad = ctx.Input("Grad"); auto in_height = grad->height(); auto out_dims = param_out->dims(); - PADDLE_ENFORCE_EQ(in_height, out_dims[0]); + PADDLE_ENFORCE_EQ(in_height, out_dims[0], + platform::errors::InvalidArgument( + "The input tensor Grad's height of SgdOp should be " + "equal with ParamOut's dims. But received Grad's " + "height [%s] and ParamOut's dims [%s]", + in_height, out_dims[0])); auto& in_value = grad->value(); auto& in_rows = grad->rows(); int64_t in_row_numel = in_value.numel() / in_rows.size(); - PADDLE_ENFORCE_EQ(in_row_numel, param_out->numel() / in_height); + PADDLE_ENFORCE_EQ(in_row_numel, param_out->numel() / in_height, + platform::errors::InvalidArgument( + "The in_row_numel of SgdOp should be equal with " + "param_out's numel / in_height.")); auto* in_data = in_value.data(); auto* out_data = param_out->data(); @@ -118,7 +131,12 @@ class SGDOpKernel out_data, in_row_numel, in_rows.size()); } else { - PADDLE_THROW("Unsupported Variable Type of Grad"); + PADDLE_ENFORCE_EQ(false, true, + platform::errors::PermissionDenied( + "Unsupported Variable Type of Grad " + "in SgdOp. Excepted LodTensor or " + "SelectedRows, But received [%s]", + paddle::framework::ToTypeName(grad_var->Type()))); } } }; diff --git a/paddle/fluid/operators/optimizers/sgd_op.h b/paddle/fluid/operators/optimizers/sgd_op.h index 539d774a395d739ae98adeb6bd2679d0487d0f06..1aaf95efc3250747a4cb46ab79b4415a6b527907 100644 --- a/paddle/fluid/operators/optimizers/sgd_op.h +++ b/paddle/fluid/operators/optimizers/sgd_op.h @@ -44,8 +44,20 @@ class SGDOpKernel if (grad_var->IsType()) { const auto *grad = ctx.Input("Grad"); auto sz = param_out->numel(); - PADDLE_ENFORCE_EQ(param->numel(), sz); - PADDLE_ENFORCE_EQ(grad->numel(), sz); + PADDLE_ENFORCE_EQ(param->numel(), sz, + platform::errors::InvalidArgument( + "The input tensor Param's numel of SgdOp " + "should be equal with ParamOut's numel. " + "But received Param's " + "numel = [%s], ParamOut's numel = [%s]", + param->numel(), sz)); + PADDLE_ENFORCE_EQ(grad->numel(), sz, + platform::errors::InvalidArgument( + "The input tensor Grad's numel of SgdOp " + "should be equal with ParamOut's numel. " + "But received Grad's " + "numel = [%s], ParamOut's numel = [%s]", + grad->numel(), sz)); jit::sgd_attr_t attr(1, sz, 1, sz, 1); const T *lr = learning_rate->data(); @@ -62,7 +74,11 @@ class SGDOpKernel // TODO(qijun): In Sparse SGD operator, in-place update is enforced. // This manual optimization brings difficulty to track data dependency. // It's better to find a more elegant solution. - PADDLE_ENFORCE_EQ(param, param_out); + PADDLE_ENFORCE_EQ(param, param_out, + platform::errors::InvalidArgument( + "The input tensor Param of SgdOp " + "should be equal with ParamOut if variable's " + "type is SelectedRows. ")); const auto *grad = ctx.Input("Grad"); auto &grad_rows = grad->rows(); @@ -73,7 +89,13 @@ class SGDOpKernel } auto out_dims = param_out->dims(); - PADDLE_ENFORCE_EQ(grad->height(), out_dims[0]); + PADDLE_ENFORCE_EQ( + grad->height(), out_dims[0], + platform::errors::InvalidArgument( + "The input tensor Grad's height of SgdOp " + "should be equal with ParamOut's dims. But received Grad's " + "height [%s] and ParamOut's dims [%s]", + grad->height(), out_dims[0])); auto &grad_value = grad->value(); const T *param_data = param->data(); const T *grad_data = grad_value.data(); @@ -87,19 +109,31 @@ class SGDOpKernel attr.grad_height = grad_rows.size(); // note: it is not grad->height() attr.grad_width = grad_value.numel() / attr.grad_height; attr.selected_rows_size = grad_rows.size(); - PADDLE_ENFORCE_EQ(attr.grad_width, attr.param_width); + PADDLE_ENFORCE_EQ( + attr.grad_width, attr.param_width, + platform::errors::InvalidArgument( + "The grad_value's numel of SgdOp " + "should be equal with param_out's numel. But received " + "grad_value's numel [%s] and param_out's numel [%s]", + attr.grad_width, attr.param_width)); auto sgd = jit::KernelFuncs, platform::CPUPlace>::Cache().At( attr); sgd(lr, param_data, grad_data, rows_data, out_data, &attr); } else { - PADDLE_THROW("Unsupported Variable Type of Grad"); + PADDLE_ENFORCE_EQ( + false, true, + platform::errors::PermissionDenied( + "Unsupported Variable Type of Grad in SgdOp. Excepted " + "LodTensor or SelectedRows, But received [%s]", + paddle::framework::ToTypeName(grad_var->Type()))); } } else if (param_var->IsType()) { - PADDLE_ENFORCE(grad_var->IsType(), - "when param " - "is SelectedRows, gradient should also be SelectedRows"); + PADDLE_ENFORCE_EQ(grad_var->IsType(), true, + platform::errors::InvalidArgument( + "when param is SelectedRows, " + "gradient should also be SelectedRows")); const auto ¶m = param_var->Get(); auto *param_out = ctx.Output("ParamOut"); const auto &grad = grad_var->Get(); @@ -112,27 +146,36 @@ class SGDOpKernel auto param_row_width = param.value().dims()[1]; auto grad_row_width = grad.value().dims()[1]; - VLOG(4) << " param rows: " << param.rows().size() - << " param memory rows: " << param.value().dims()[0] - << " grad rows: " << grad.rows().size() - << " grad memory rows: " << grad.value().dims()[0]; - PADDLE_ENFORCE_EQ(param_row_width, grad_row_width, - "param_row should have the same size with grad_row"); + PADDLE_ENFORCE_EQ( + param_row_width, grad_row_width, + platform::errors::InvalidArgument( + "The param_row in SgdOP should have the same size with grad_row. " + "But received param_row's width is [%s], and grad_row's width is " + "[%s]", + param_row_width, grad_row_width)); const auto *lr = learning_rate->data(); const auto *grad_data = grad.value().data(); auto *out_data = param_out->mutable_value()->data(); for (size_t i = 0; i < grad.rows().size(); i++) { int64_t id_index = param_out->AutoGrownIndex(grad.rows()[i], false); - PADDLE_ENFORCE_GE(id_index, static_cast(0), - "id should be in the table"); + PADDLE_ENFORCE_GE( + id_index, static_cast(0), + platform::errors::InvalidArgument( + "The id in SgdOp should be >= 0. But recevied id_index is [%s]", + id_index)); for (int64_t j = 0; j < grad_row_width; j++) { out_data[id_index * grad_row_width + j] -= lr[0] * grad_data[i * grad_row_width + j]; } } } else { - PADDLE_THROW("Unsupported Variable Type of Parameter"); + PADDLE_ENFORCE_EQ( + false, true, + platform::errors::PermissionDenied( + "Unsupported Variable Type of Parameter in SgdOp. Excepted " + "LodTensor or SelectedRows, But received [%s]", + paddle::framework::ToTypeName(param_var->Type()))); } } }; diff --git a/paddle/fluid/operators/pixel_shuffle_op.cc b/paddle/fluid/operators/pixel_shuffle_op.cc index 70d232ad6a51e21b863974e70920eb2d9da895e6..111a82c6cce78b0b6fa462c332d9bd3dd6ce6e43 100644 --- a/paddle/fluid/operators/pixel_shuffle_op.cc +++ b/paddle/fluid/operators/pixel_shuffle_op.cc @@ -46,14 +46,14 @@ class PixelShuffleOp : public framework::OperatorWithKernel { platform::errors::InvalidArgument( "The square of upscale_factor[%u] should divide the " "number of channel[%u]", - input_dims[1], upscale_factor * upscale_factor)); + upscale_factor * upscale_factor, input_dims[1])); } else { PADDLE_ENFORCE_EQ( input_dims[3] % (upscale_factor * upscale_factor), 0, platform::errors::InvalidArgument( "The square of upscale_factor[%u] should divide the " "number of channel[%u]", - input_dims[3], upscale_factor * upscale_factor)); + upscale_factor * upscale_factor, input_dims[3])); } auto output_dims = input_dims; output_dims[0] = input_dims[0]; diff --git a/paddle/fluid/operators/print_op.cc b/paddle/fluid/operators/print_op.cc index 3fb18365e523d75f5c3e6107011d2aac5a152dea..80faf833be591d0f4e2e7ee365d0163869672c02 100644 --- a/paddle/fluid/operators/print_op.cc +++ b/paddle/fluid/operators/print_op.cc @@ -12,13 +12,21 @@ See the License for the specific language governing permissions and limitations under the License. */ -#include -#include "paddle/fluid/framework/data_layout.h" #include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/framework/var_type.h" -#include "paddle/fluid/operators/assign_op.h" #include "paddle/fluid/operators/tensor_formatter.h" +namespace paddle { +namespace framework { +class InferShapeContext; +class LoDTensor; +class OpDesc; +class Scope; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace operators { using framework::GradVarName; diff --git a/paddle/fluid/operators/pyramid_hash_op.cc b/paddle/fluid/operators/pyramid_hash_op.cc index 0cae060bc8e87f5ad249158f98f18d7127988151..c50a8b731d5a51943d68c688339c0dd609d71630 100644 --- a/paddle/fluid/operators/pyramid_hash_op.cc +++ b/paddle/fluid/operators/pyramid_hash_op.cc @@ -285,13 +285,21 @@ class CPUPyramidHashOPKernel : public framework::OpKernel { if (use_filter) { if (white_list_len != 0) { _filter = (math::bloomfilter*)_blobs_1->data(); - PADDLE_ENFORCE_EQ(math::bloomfilter_check(_filter), 1, - "white filter not load"); + PADDLE_ENFORCE_EQ( + math::bloomfilter_check(_filter), 1, + platform::errors::PreconditionNotMet( + "The white filter is not loaded successfully, please make sure " + "'white_list_len': %d is valid for Input(WhiteList).", + white_list_len)); } if (black_list_len != 0) { _black_filter = (math::bloomfilter*)_blobs_2->data(); - PADDLE_ENFORCE_EQ(math::bloomfilter_check(_black_filter), 1, - "black filter not load"); + PADDLE_ENFORCE_EQ( + math::bloomfilter_check(_black_filter), 1, + platform::errors::PreconditionNotMet( + "The black filter is not loaded successfully, please make sure " + "'black_list_len': %d is valid for Input(BlackList).", + black_list_len)); } } diff --git a/paddle/fluid/operators/rank_loss_op.cc b/paddle/fluid/operators/rank_loss_op.cc index 9b7a923fb4bbcfb6e525f8360cb692c003555260..ec9d1fde4533580f862e35d01fbdb6dd0143495a 100644 --- a/paddle/fluid/operators/rank_loss_op.cc +++ b/paddle/fluid/operators/rank_loss_op.cc @@ -13,9 +13,23 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/rank_loss_op.h" -#include + #include +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/reader/buffered_reader.h b/paddle/fluid/operators/reader/buffered_reader.h index 42c087b9e47a9ec7e80d05a791af3e04c483ab08..041d36a93432e793a79e3d47df95c80e7a10b460 100644 --- a/paddle/fluid/operators/reader/buffered_reader.h +++ b/paddle/fluid/operators/reader/buffered_reader.h @@ -18,6 +18,7 @@ #include #include #include + #include "ThreadPool.h" #include "paddle/fluid/framework/reader.h" #ifdef PADDLE_WITH_CUDA diff --git a/paddle/fluid/operators/reader/py_reader.cc b/paddle/fluid/operators/reader/py_reader.cc index 2100aeb7cf4d5ca5ae0ae557c5d131ca831c39f9..ad79f6bbc4c4a82eff107e42fa60f139ccd5a818 100644 --- a/paddle/fluid/operators/reader/py_reader.cc +++ b/paddle/fluid/operators/reader/py_reader.cc @@ -13,7 +13,6 @@ // limitations under the License. #include "paddle/fluid/operators/reader/py_reader.h" -#include namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/reader/py_reader.h b/paddle/fluid/operators/reader/py_reader.h index d827cdd0b8764b1d6cfa0477dc85cd44525b0b29..3492d57804886309ebf1b63e8c161bc76d0c5abd 100644 --- a/paddle/fluid/operators/reader/py_reader.h +++ b/paddle/fluid/operators/reader/py_reader.h @@ -17,6 +17,7 @@ #include #include #include + #include "paddle/fluid/framework/reader.h" #include "paddle/fluid/operators/reader/lod_tensor_blocking_queue.h" @@ -24,6 +25,8 @@ namespace paddle { namespace operators { namespace reader { +class LoDTensorBlockingQueue; + class PyReader : public framework::FileReader { public: explicit PyReader( diff --git a/paddle/fluid/operators/reader/reader_blocking_queue_test.cc b/paddle/fluid/operators/reader/reader_blocking_queue_test.cc index dc0940ac0b78d295b5088cb6ae26300da1dc883d..86c9f38ad3f9793386d100218ea3854579b884df 100644 --- a/paddle/fluid/operators/reader/reader_blocking_queue_test.cc +++ b/paddle/fluid/operators/reader/reader_blocking_queue_test.cc @@ -12,12 +12,9 @@ // See the License for the specific language governing permissions and // limitations under the License. -#include // NOLINT -#include #include // NOLINT -#include -#include "gtest/gtest.h" +#include "gtest/gtest.h" #include "paddle/fluid/operators/reader/blocking_queue.h" using paddle::operators::reader::BlockingQueue; diff --git a/paddle/fluid/operators/reader/reader_op_registry.cc b/paddle/fluid/operators/reader/reader_op_registry.cc index 952ed4662880053833384799916fe5435d867ed0..bccaae70229b50446cc5743995cc655852529b68 100644 --- a/paddle/fluid/operators/reader/reader_op_registry.cc +++ b/paddle/fluid/operators/reader/reader_op_registry.cc @@ -13,8 +13,12 @@ // limitations under the License. #include "paddle/fluid/operators/reader/reader_op_registry.h" -#include -#include + +namespace paddle { +namespace framework { +class VarDesc; +} // namespace framework +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/reader/reader_op_registry.h b/paddle/fluid/operators/reader/reader_op_registry.h index 35a0dacaec2376db67484bf934dc523cf105f363..fec496446ac01844f52eec55f9da666c76470489 100644 --- a/paddle/fluid/operators/reader/reader_op_registry.h +++ b/paddle/fluid/operators/reader/reader_op_registry.h @@ -18,9 +18,17 @@ #include #include #include + #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/reader.h" +namespace paddle { +namespace framework { +class InferShapeContext; +class ReaderBase; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { namespace reader { diff --git a/paddle/fluid/operators/recurrent_op.cc b/paddle/fluid/operators/recurrent_op.cc index c1adaf2037a34794218368ad46563efaca24e2ba..35f52ffa522f4c497a493b7e93736f9f522beb19 100644 --- a/paddle/fluid/operators/recurrent_op.cc +++ b/paddle/fluid/operators/recurrent_op.cc @@ -13,9 +13,15 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/recurrent_op.h" - #include -#include "paddle/fluid/string/string_helper.h" + +namespace paddle { +namespace framework { +class InferShapeContext; +class LoDTensor; +class OpDesc; +} // namespace framework +} // namespace paddle namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/recurrent_op.h b/paddle/fluid/operators/recurrent_op.h index 1ca66527e1b834a75f6edd1c23d7657fd52bbae7..e3f512d45c05516b0919d623b626e77f0c790a67 100644 --- a/paddle/fluid/operators/recurrent_op.h +++ b/paddle/fluid/operators/recurrent_op.h @@ -22,6 +22,12 @@ limitations under the License. */ #include "paddle/fluid/framework/executor.h" #include "paddle/fluid/framework/op_registry.h" +namespace paddle { +namespace platform { +class DeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/reduce_ops/frobenius_norm_op.cc b/paddle/fluid/operators/reduce_ops/frobenius_norm_op.cc index 57df2664824d478503fce04f09c5a7f1e02eb080..2d7cce68e81719f2187bb5ce030fd7ae2b0f5755 100644 --- a/paddle/fluid/operators/reduce_ops/frobenius_norm_op.cc +++ b/paddle/fluid/operators/reduce_ops/frobenius_norm_op.cc @@ -13,9 +13,22 @@ // limitations under the License. #include "paddle/fluid/operators/reduce_ops/frobenius_norm_op.h" -#include + #include +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/reduce_ops/reduce_all_op.cc b/paddle/fluid/operators/reduce_ops/reduce_all_op.cc index 30265b3cc71fc6c587a7f4c716529962e1556f45..10095bc955047aa3f01cea38dbbfa87d0f842c5a 100644 --- a/paddle/fluid/operators/reduce_ops/reduce_all_op.cc +++ b/paddle/fluid/operators/reduce_ops/reduce_all_op.cc @@ -14,6 +14,21 @@ #include "paddle/fluid/operators/reduce_ops/reduce_all_op.h" +namespace paddle { +namespace framework { +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + // kernel's device type is decided by input tensor place, to be consistent with // compare and logical ops REGISTER_REDUCE_OP_WITHOUT_GRAD(reduce_all, UseInputPlace); diff --git a/paddle/fluid/operators/reduce_ops/reduce_any_op.cc b/paddle/fluid/operators/reduce_ops/reduce_any_op.cc index cbc18f18b8e5534b37294dbfb8630bac906e8066..f288fce753802a8c5c871f573680c99e461663d6 100644 --- a/paddle/fluid/operators/reduce_ops/reduce_any_op.cc +++ b/paddle/fluid/operators/reduce_ops/reduce_any_op.cc @@ -14,6 +14,21 @@ #include "paddle/fluid/operators/reduce_ops/reduce_any_op.h" +namespace paddle { +namespace framework { +class OpDesc; +template +class EmptyGradOpMaker; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + // kernel's device type is decided by input tensor place, to be consistent with // compare and logical ops REGISTER_REDUCE_OP_WITHOUT_GRAD(reduce_any, UseInputPlace); diff --git a/paddle/fluid/operators/reduce_ops/reduce_prod_op.cc b/paddle/fluid/operators/reduce_ops/reduce_prod_op.cc index 88935107df187da731e5b77bb6c24cd692d2994f..f27cd6b125b3246b822ec4bef1e227ccff7dfc3e 100644 --- a/paddle/fluid/operators/reduce_ops/reduce_prod_op.cc +++ b/paddle/fluid/operators/reduce_ops/reduce_prod_op.cc @@ -14,6 +14,19 @@ #include "paddle/fluid/operators/reduce_ops/reduce_prod_op.h" +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + REGISTER_REDUCE_OP(reduce_prod); REGISTER_OP_CPU_KERNEL(reduce_prod, ops::ReduceKernel + #include +namespace paddle { +namespace framework { +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +struct CPUPlace; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/reorder_lod_tensor_by_rank_op.cc b/paddle/fluid/operators/reorder_lod_tensor_by_rank_op.cc index cb1a2962d9b1412086ad87e00131f0d4bdf9db71..d8d4e641aeb3ef660d092c404bf0edf91014b4bb 100644 --- a/paddle/fluid/operators/reorder_lod_tensor_by_rank_op.cc +++ b/paddle/fluid/operators/reorder_lod_tensor_by_rank_op.cc @@ -12,10 +12,21 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include "paddle/fluid/framework/lod_rank_table.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +class LoDRankTable; +class LoDTensor; +class OpDesc; +class Scope; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/reshape_op.cc b/paddle/fluid/operators/reshape_op.cc index 01a33a46521cd81d084f8971c47741b28a105d41..e03824ca8c3f428de3c89f0bc4f623379bb564f1 100644 --- a/paddle/fluid/operators/reshape_op.cc +++ b/paddle/fluid/operators/reshape_op.cc @@ -13,9 +13,24 @@ See the License for the specific language governing permissions and limitations under the License. */ #include -#include + #include "paddle/fluid/framework/op_registry.h" +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +struct CPUPlace; +struct CUDAPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/rnn_memory_helper_op.cc b/paddle/fluid/operators/rnn_memory_helper_op.cc index eea2d2ac57ad3aba90aced8a3ff4816d3a64123f..95b23a0b8cceefaa82f2061e9b61b83a15cb6d07 100644 --- a/paddle/fluid/operators/rnn_memory_helper_op.cc +++ b/paddle/fluid/operators/rnn_memory_helper_op.cc @@ -15,6 +15,17 @@ limitations under the License. */ #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/operator.h" +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +class Scope; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace operators { class RNNMemoryHelperOp : public framework::OperatorBase { diff --git a/paddle/fluid/operators/scale_op.cc b/paddle/fluid/operators/scale_op.cc index 9d51f3e292fa2de114b971032c29f5e769ba617a..55e35e43eb9fc95b423f2d028242ff439e97c4c2 100644 --- a/paddle/fluid/operators/scale_op.cc +++ b/paddle/fluid/operators/scale_op.cc @@ -14,9 +14,21 @@ limitations under the License. */ #include "paddle/fluid/operators/scale_op.h" -#include #include +namespace paddle { +namespace framework { +class InferShapeContext; +class OpDesc; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +namespace platform { +class CPUDeviceContext; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/scatter_test.cc b/paddle/fluid/operators/scatter_test.cc index eb248e59b6ce6e5c9c04f94b21e4bc14207c39b1..c83726180baeae6f4b73adda3bd9d9127b0f3e26 100644 --- a/paddle/fluid/operators/scatter_test.cc +++ b/paddle/fluid/operators/scatter_test.cc @@ -13,10 +13,9 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/scatter.h" + #include -#include -#include -#include "paddle/fluid/framework/ddim.h" + #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/platform/place.h" diff --git a/paddle/fluid/operators/segment_pool_op.cu b/paddle/fluid/operators/segment_pool_op.cu new file mode 100644 index 0000000000000000000000000000000000000000..dc92d7fcc3a87c467fa118a20ec1ab0cfbceba18 --- /dev/null +++ b/paddle/fluid/operators/segment_pool_op.cu @@ -0,0 +1,28 @@ +/* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include "paddle/fluid/operators/gather.cu.h" +#include "paddle/fluid/operators/segment_pool_op.h" +#include "paddle/fluid/platform/cuda_primitives.h" +#include "paddle/fluid/platform/gpu_launch_param_config.h" + +namespace ops = paddle::operators; +REGISTER_OP_CUDA_KERNEL( + segment_pool, + ops::SegmentPoolKernel, + ops::SegmentPoolKernel); +REGISTER_OP_CUDA_KERNEL( + segment_pool_grad, + ops::SegmentPoolGradKernel, + ops::SegmentPoolGradKernel); diff --git a/paddle/fluid/operators/segment_pool_op.h b/paddle/fluid/operators/segment_pool_op.h index a505946b9f5229425f724ae5469beb77863e9aaf..23b0c31608d267ab6d4a81d6b9a74df0737441f0 100644 --- a/paddle/fluid/operators/segment_pool_op.h +++ b/paddle/fluid/operators/segment_pool_op.h @@ -63,6 +63,46 @@ void SegmentKernelLaunchHelper(const framework::ExecutionContext& context) { auto& dev_ctx = context.template device_context(); set_zero(dev_ctx, output, static_cast(0)); } +#ifdef PADDLE_WITH_CUDA + if (!cpu_place) { + Tensor length; + length.mutable_data(framework::make_ddim({1}), + platform::CPUPlace()); + IndexT* length_data = length.data(); + const IndexT* segment_ids = segment->data(); + + PADDLE_ENFORCE_CUDA_SUCCESS( + cudaMemcpy(length_data, segment_ids + num_indices - 1, sizeof(IndexT), + cudaMemcpyDeviceToHost)); + + IndexT length_host = length_data[0]; + length_host++; + PADDLE_ENFORCE_GT( + length_host, 0, + platform::errors::InvalidArgument( + "Segment ids must be >= 0, but got last id %d", length_data[0])); + auto dims = input->dims(); + dims[0] = static_cast(length_host); + output->Resize({dims}); + output->mutable_data(context.GetPlace()); + T init_value = 0; + if (pooltype == "MAX") { + init_value = static_cast(-FLT_MAX); + } else if (pooltype == "MIN") { + init_value = static_cast(FLT_MAX); + } + math::SetConstant setconst; + auto& dev_ctx = context.template device_context(); + setconst(dev_ctx, output, static_cast(init_value)); + // the gpu kernel of mean pool record the counts of segment_ids + if (pooltype == "MEAN") { + summed_ids = context.Output("SummedIds"); + summed_ids->Resize({dims[0], 1}); + summed_ids->mutable_data(context.GetPlace()); + setconst(dev_ctx, summed_ids, static_cast(1e-12)); + } + } +#endif SegmentPoolFunctor pool; diff --git a/paddle/fluid/operators/sequence_ops/sequence_concat_op.cu.cc b/paddle/fluid/operators/sequence_ops/sequence_concat_op.cu.cc index 43fd84a711ff7fbf999a66bfdfe320b4daceb1a7..6eda8595b1769b0891213124ac47a3b1cf27fb7c 100644 --- a/paddle/fluid/operators/sequence_ops/sequence_concat_op.cu.cc +++ b/paddle/fluid/operators/sequence_ops/sequence_concat_op.cu.cc @@ -13,6 +13,13 @@ // limitations under the License. #include "paddle/fluid/operators/sequence_ops/sequence_concat_op.h" +#include "paddle/fluid/framework/op_registry.h" + +namespace paddle { +namespace platform { +class CUDADeviceContext; +} // namespace platform +} // namespace paddle template using Kernel = diff --git a/paddle/fluid/operators/shuffle_channel_op.cc b/paddle/fluid/operators/shuffle_channel_op.cc index c01fed108f3e2d7b399379520f6b0bec906f5d13..119d2e7236946e7243ef53c791f4bb7f48d21c91 100644 --- a/paddle/fluid/operators/shuffle_channel_op.cc +++ b/paddle/fluid/operators/shuffle_channel_op.cc @@ -21,13 +21,13 @@ class ShuffleChannelOp : public framework::OperatorWithKernel { using framework::OperatorWithKernel::OperatorWithKernel; void InferShape(framework::InferShapeContext* ctx) const override { - PADDLE_ENFORCE(ctx->HasInput("X"), - "Input(X) of ShuffleChannelOp should not be null."); - PADDLE_ENFORCE(ctx->HasOutput("Out"), - "Output(Out) of ShuffleChannelOp should not be null."); + OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "ShuffleChannelOp"); + OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "ShuffleChannelOp"); auto input_dims = ctx->GetInputDim("X"); - PADDLE_ENFORCE(input_dims.size() == 4, "The layout of input is NCHW."); + PADDLE_ENFORCE_EQ( + input_dims.size(), 4, + platform::errors::InvalidArgument("The layout of input is NCHW.")); ctx->SetOutputDim("Out", input_dims); } @@ -53,7 +53,8 @@ class ShuffleChannelOpMaker : public framework::OpProtoAndCheckerMaker { AddAttr("group", "the number of groups.") .SetDefault(1) .AddCustomChecker([](const int& group) { - PADDLE_ENFORCE_GE(group, 1, "group should be larger than 0."); + PADDLE_ENFORCE_GE(group, 1, platform::errors::InvalidArgument( + "group should be larger than 0.")); }); AddComment(R"DOC( @@ -76,7 +77,9 @@ class ShuffleChannelGradOp : public framework::OperatorWithKernel { void InferShape(framework::InferShapeContext* ctx) const override { auto input_dims = ctx->GetInputDim(framework::GradVarName("Out")); - PADDLE_ENFORCE(input_dims.size() == 4, "The layout of input is NCHW."); + PADDLE_ENFORCE_EQ( + input_dims.size(), 4, + platform::errors::InvalidArgument("The layout of input is NCHW.")); ctx->SetOutputDim(framework::GradVarName("X"), input_dims); } diff --git a/paddle/fluid/operators/softmax_cudnn_op.cu.cc b/paddle/fluid/operators/softmax_cudnn_op.cu.cc index 94e54266f0f922efef5ea4a1b23338b6ce02d131..5b857960706f01c4636d2cb5f2b4b39c12465f99 100644 --- a/paddle/fluid/operators/softmax_cudnn_op.cu.cc +++ b/paddle/fluid/operators/softmax_cudnn_op.cu.cc @@ -14,9 +14,15 @@ limitations under the License. */ #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/operators/softmax_op.h" -#include "paddle/fluid/platform/cudnn_desc.h" #include "paddle/fluid/platform/cudnn_helper.h" +namespace paddle { +namespace platform { +struct CUDAPlace; +struct float16; +} // namespace platform +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/split_lod_tensor_op.cc b/paddle/fluid/operators/split_lod_tensor_op.cc index aa8c0b13dbb2e585e97cd47a0340336b01c2c408..4adbbacc844c64329c7c62f8969cdc3f42936beb 100644 --- a/paddle/fluid/operators/split_lod_tensor_op.cc +++ b/paddle/fluid/operators/split_lod_tensor_op.cc @@ -13,9 +13,20 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/framework/op_registry.h" -#include "paddle/fluid/memory/memcpy.h" #include "paddle/fluid/platform/device_context.h" +namespace paddle { +namespace framework { +class InferShapeContext; +class LoDTensor; +class OpDesc; +class Scope; +} // namespace framework +namespace imperative { +class OpBase; +} // namespace imperative +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/strided_memcpy.h b/paddle/fluid/operators/strided_memcpy.h index 142b00b4de66caaedda5c4f0723d31e3a819b8a4..48d6cf8b3619a7e017319faa525ae1a3ab2f96d7 100644 --- a/paddle/fluid/operators/strided_memcpy.h +++ b/paddle/fluid/operators/strided_memcpy.h @@ -11,8 +11,10 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/operators/detail/strided_memcpy.h" + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/strided_memcpy_test.cc b/paddle/fluid/operators/strided_memcpy_test.cc index 3a450773a9d749eb3f73baa46e681e588e1fbd0f..83480b44d5be08a2bb1c335f0a82be276a60a676 100644 --- a/paddle/fluid/operators/strided_memcpy_test.cc +++ b/paddle/fluid/operators/strided_memcpy_test.cc @@ -13,8 +13,8 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/strided_memcpy.h" + #include "gtest/gtest.h" -#include "paddle/fluid/memory/memory.h" namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/tensor_formatter.cc b/paddle/fluid/operators/tensor_formatter.cc index 7b8b484a11e010b7f003cb83ca171b907caadaea..e4fa4a96a5cf7fab122bd49b47719aea50a1da15 100644 --- a/paddle/fluid/operators/tensor_formatter.cc +++ b/paddle/fluid/operators/tensor_formatter.cc @@ -12,11 +12,10 @@ See the License for the specific language governing permissions and limitations under the License. */ +#include "paddle/fluid/operators/tensor_formatter.h" #include #include -#include "paddle/fluid/operators/tensor_formatter.h" - namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/tensor_formatter.h b/paddle/fluid/operators/tensor_formatter.h index 1731348479d5f5bcf5a3d3fbfe338d3ec76edaca..aee5eec0d1c29c5f5485182da24b9a53f7d27c78 100644 --- a/paddle/fluid/operators/tensor_formatter.h +++ b/paddle/fluid/operators/tensor_formatter.h @@ -18,6 +18,12 @@ #include "paddle/fluid/framework/data_layout.h" #include "paddle/fluid/framework/var_type.h" +namespace paddle { +namespace framework { +class LoDTensor; +} // namespace framework +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/tensorrt/tensorrt_engine_op.cc b/paddle/fluid/operators/tensorrt/tensorrt_engine_op.cc index 708fccf9715e41db9d56210e46a3d174c348ed63..d4eb79aa0f2fb44d41104e1dca3daec8116d02ce 100644 --- a/paddle/fluid/operators/tensorrt/tensorrt_engine_op.cc +++ b/paddle/fluid/operators/tensorrt/tensorrt_engine_op.cc @@ -14,9 +14,6 @@ #ifdef PADDLE_WITH_CUDA -#include -#include - #include "paddle/fluid/operators/tensorrt/tensorrt_engine_op.h" namespace paddle { diff --git a/paddle/fluid/operators/tensorrt/tensorrt_engine_op.h b/paddle/fluid/operators/tensorrt/tensorrt_engine_op.h index 9cfe47da5db7ba15c9b24a8d551606f805ad9b15..922340b08c63815e951155610c995c995c4bba9e 100644 --- a/paddle/fluid/operators/tensorrt/tensorrt_engine_op.h +++ b/paddle/fluid/operators/tensorrt/tensorrt_engine_op.h @@ -31,6 +31,18 @@ #include "paddle/fluid/inference/tensorrt/engine.h" #include "paddle/fluid/inference/tensorrt/helper.h" +namespace paddle { +namespace inference { +namespace tensorrt { +class TRTCalibratorEngine; +class TRTCalibratorEngineManager; +class TRTInt8Calibrator; +} // namespace tensorrt +template +struct Singleton; +} // namespace inference +} // namespace paddle + namespace paddle { namespace operators { diff --git a/paddle/fluid/operators/test_leaky_relu_grad_grad_functor.h b/paddle/fluid/operators/test_leaky_relu_grad_grad_functor.h index cc2fe4cdbdb8faa69abad28fbdd31dc4e61bdc04..ce94ba1ce9e8c10e04cd3fe5fee214ef30ffb918 100644 --- a/paddle/fluid/operators/test_leaky_relu_grad_grad_functor.h +++ b/paddle/fluid/operators/test_leaky_relu_grad_grad_functor.h @@ -16,6 +16,7 @@ #include #include + #include "gtest/gtest.h" #include "paddle/fluid/operators/activation_op.h" #include "paddle/fluid/platform/for_range.h" diff --git a/paddle/fluid/operators/utils.h b/paddle/fluid/operators/utils.h index aec995304a77118ecbf788ca3984c7e9da531f18..05d077b173a13e457fd38187b832f9586926a2ee 100644 --- a/paddle/fluid/operators/utils.h +++ b/paddle/fluid/operators/utils.h @@ -41,7 +41,9 @@ inline std::vector GetDataFromTensor(const framework::Tensor* x) { // NOTE: Converting int64 to int32 may cause data overflow. vec_new_data = std::vector(data, data + x->numel()); } else { - PADDLE_THROW("The dtype of Tensor must be int32 or int64."); + PADDLE_THROW(platform::errors::InvalidArgument( + "The dtype of Tensor must be int32 or int64, but received: %s", + x->type())); } return vec_new_data; } @@ -53,10 +55,11 @@ inline std::vector GetDataFromTensorList( for (size_t i = 0; i < list_tensor.size(); ++i) { auto tensor = list_tensor[i]; PADDLE_ENFORCE_EQ(tensor->dims(), framework::make_ddim({1}), - "ShapeError: The shape of Tensor in list must be [1]. " - "But received the shape " - "is [%s]", - tensor->dims()); + platform::errors::InvalidArgument( + "The shape of Tensor in list must be [1]. " + "But received its shape " + "is [%s]", + tensor->dims())); if (tensor->type() == framework::proto::VarType::INT32) { if (platform::is_gpu_place(tensor->place())) { @@ -76,7 +79,10 @@ inline std::vector GetDataFromTensorList( vec_new_data.push_back(static_cast(*tensor->data())); } } else { - PADDLE_THROW("The dtype of Tensor in list must be int32 or int64."); + PADDLE_THROW(platform::errors::InvalidArgument( + "The dtype of Tensor in list must be int32 or int64, but received: " + "%s", + tensor->type())); } } return vec_new_data; diff --git a/paddle/fluid/platform/bfloat16.h b/paddle/fluid/platform/bfloat16.h index 742329abb2dae20437120c0d4ba5975d41b0a7c9..4460139219fb520d906b4a135d1b6f02d782ae2c 100644 --- a/paddle/fluid/platform/bfloat16.h +++ b/paddle/fluid/platform/bfloat16.h @@ -23,9 +23,15 @@ #endif #include + #include "paddle/fluid/platform/hostdevice.h" #include "unsupported/Eigen/CXX11/Tensor" +namespace Eigen { +template +struct NumTraits; +} // namespace Eigen + namespace paddle { namespace platform { diff --git a/paddle/fluid/platform/bfloat16_test.cc b/paddle/fluid/platform/bfloat16_test.cc index bdb508ee33630004daae132fcdcf71146a50e640..fc964d7df359a3a07bfd515a80175adbcd372e48 100644 --- a/paddle/fluid/platform/bfloat16_test.cc +++ b/paddle/fluid/platform/bfloat16_test.cc @@ -10,14 +10,12 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/platform/bfloat16.h" - #include #define GLOG_NO_ABBREVIATED_SEVERITIES // msvc conflict logging with windows.h #include "gtest/gtest.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/platform/enforce.h" -#include "paddle/fluid/platform/init.h" namespace paddle { namespace platform { diff --git a/paddle/fluid/platform/collective_helper.cc b/paddle/fluid/platform/collective_helper.cc index 4cb6ee3143a862f59a3c224a012d380e629e738f..54dac976276904809003903324535824819e979f 100644 --- a/paddle/fluid/platform/collective_helper.cc +++ b/paddle/fluid/platform/collective_helper.cc @@ -14,12 +14,8 @@ #if defined(PADDLE_WITH_NCCL) #include "paddle/fluid/platform/collective_helper.h" - -#include #include -#include "paddle/fluid/platform/dynload/nccl.h" - namespace paddle { namespace platform { diff --git a/paddle/fluid/platform/cpu_info.cc b/paddle/fluid/platform/cpu_info.cc index b86fd70c9aecddca7c1ce23085a46c5332d2e698..e379832593c78c6ca2ad94bf72beaafded13a205 100644 --- a/paddle/fluid/platform/cpu_info.cc +++ b/paddle/fluid/platform/cpu_info.cc @@ -15,7 +15,6 @@ limitations under the License. */ #include "paddle/fluid/platform/cpu_info.h" #ifdef PADDLE_WITH_XBYAK -#include "xbyak/xbyak.h" #include "xbyak/xbyak_util.h" #endif diff --git a/paddle/fluid/platform/cuda_primitives.h b/paddle/fluid/platform/cuda_primitives.h index 67ea64833d3b844d88a2e5996f860ef165bd8ffd..4d9673e9646dedbd001eabcd70d4d34aecaa10b5 100644 --- a/paddle/fluid/platform/cuda_primitives.h +++ b/paddle/fluid/platform/cuda_primitives.h @@ -128,5 +128,150 @@ CUDA_ATOMIC_WRAPPER(Add, float16) { } #endif + +// For atomicMax +USE_CUDA_ATOMIC(Max, int); +USE_CUDA_ATOMIC(Max, unsigned int); +// CUDA API uses unsigned long long int, we cannot use uint64_t here. +// It because unsigned long long int is not necessarily uint64_t +#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 350 +USE_CUDA_ATOMIC(Max, unsigned long long int); // NOLINT +#else +CUDA_ATOMIC_WRAPPER(Max, unsigned long long int) { // NOLINT + if (*address >= val) { + return; + } + + unsigned long long int old = *address, assumed; // NOLINT + + do { + assumed = old; + if (assumed >= val) { + break; + } + + old = atomicCAS(address, assumed, val); + } while (assumed != old); +} +#endif + +CUDA_ATOMIC_WRAPPER(Max, int64_t) { + // Here, we check long long int must be int64_t. + static_assert(sizeof(int64_t) == sizeof(long long int), // NOLINT + "long long should be int64"); + return CudaAtomicMax( + reinterpret_cast(address), // NOLINT + static_cast(val)); // NOLINT +} + +CUDA_ATOMIC_WRAPPER(Max, float) { + if (*address >= val) { + return; + } + + int *const address_as_i = reinterpret_cast(address); + int old = *address_as_i, assumed; + + do { + assumed = old; + if (__int_as_float(assumed) >= val) { + break; + } + + old = atomicCAS(address_as_i, assumed, __float_as_int(val)); + } while (assumed != old); +} + +CUDA_ATOMIC_WRAPPER(Max, double) { + if (*address >= val) { + return; + } + + unsigned long long int *const address_as_ull = // NOLINT + reinterpret_cast(address); // NOLINT + unsigned long long int old = *address_as_ull, assumed; // NOLINT + + do { + assumed = old; + if (__longlong_as_double(assumed) >= val) { + break; + } + + old = atomicCAS(address_as_ull, assumed, __double_as_longlong(val)); + } while (assumed != old); +} + +// For atomicMin +USE_CUDA_ATOMIC(Min, int); +USE_CUDA_ATOMIC(Min, unsigned int); +// CUDA API uses unsigned long long int, we cannot use uint64_t here. +// It because unsigned long long int is not necessarily uint64_t +#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 350 +USE_CUDA_ATOMIC(Min, unsigned long long int); // NOLINT +#else +CUDA_ATOMIC_WRAPPER(Min, unsigned long long int) { // NOLINT + if (*address <= val) { + return; + } + + unsigned long long int old = *address, assumed; // NOLINT + + do { + assumed = old; + if (assumed <= val) { + break; + } + + old = atomicCAS(address, assumed, val); + } while (assumed != old); +} +#endif + +CUDA_ATOMIC_WRAPPER(Min, int64_t) { + // Here, we check long long int must be int64_t. + static_assert(sizeof(int64_t) == sizeof(long long int), // NOLINT + "long long should be int64"); + return CudaAtomicMin( + reinterpret_cast(address), // NOLINT + static_cast(val)); // NOLINT +} + +CUDA_ATOMIC_WRAPPER(Min, float) { + if (*address <= val) { + return; + } + + int *const address_as_i = reinterpret_cast(address); + int old = *address_as_i, assumed; + + do { + assumed = old; + if (__int_as_float(assumed) <= val) { + break; + } + + old = atomicCAS(address_as_i, assumed, __float_as_int(val)); + } while (assumed != old); +} + +CUDA_ATOMIC_WRAPPER(Min, double) { + if (*address <= val) { + return; + } + + unsigned long long int *const address_as_ull = // NOLINT + reinterpret_cast(address); // NOLINT + unsigned long long int old = *address_as_ull, assumed; // NOLINT + + do { + assumed = old; + if (__longlong_as_double(assumed) <= val) { + break; + } + + old = atomicCAS(address_as_ull, assumed, __double_as_longlong(val)); + } while (assumed != old); +} + } // namespace platform } // namespace paddle diff --git a/paddle/fluid/platform/cuda_resource_pool.h b/paddle/fluid/platform/cuda_resource_pool.h index 22b53445d84c1f72481f559ff45c4864fb5c7263..570b68b08fc1e6fd0b9ff70dba244c355fc2618d 100644 --- a/paddle/fluid/platform/cuda_resource_pool.h +++ b/paddle/fluid/platform/cuda_resource_pool.h @@ -20,6 +20,7 @@ #include #include #include + #include "paddle/fluid/platform/resource_pool.h" namespace paddle { diff --git a/paddle/fluid/platform/cudnn_desc.h b/paddle/fluid/platform/cudnn_desc.h index e0ba1aaa6bd8b8b29b0d02259d91b9bb9470e35f..0e0218dcca3fc4d7ea661fbcfe89d260a4c93a2d 100644 --- a/paddle/fluid/platform/cudnn_desc.h +++ b/paddle/fluid/platform/cudnn_desc.h @@ -22,8 +22,15 @@ #include #include #include + #include "paddle/fluid/platform/cudnn_helper.h" +namespace paddle { +namespace framework { +class Tensor; +} // namespace framework +} // namespace paddle + namespace paddle { namespace platform { using framework::Tensor; diff --git a/paddle/fluid/platform/cudnn_helper.h b/paddle/fluid/platform/cudnn_helper.h index 4b9c5c429dabc32fad6f05e4f066ab063057e733..e983e36895353c215af19937980946a33c242b8c 100644 --- a/paddle/fluid/platform/cudnn_helper.h +++ b/paddle/fluid/platform/cudnn_helper.h @@ -23,6 +23,12 @@ limitations under the License. */ #include "paddle/fluid/platform/float16.h" #include "paddle/fluid/platform/macros.h" +namespace paddle { +namespace platform { +struct float16; +} // namespace platform +} // namespace paddle + DECLARE_bool(cudnn_deterministic); namespace paddle { diff --git a/paddle/fluid/platform/device_code.cc b/paddle/fluid/platform/device_code.cc index 9d5a0954b00b1755a86cbd5d654b9a06edff4879..2474903edf77c1d0d22845fa44a23f82be323417 100644 --- a/paddle/fluid/platform/device_code.cc +++ b/paddle/fluid/platform/device_code.cc @@ -13,10 +13,12 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/platform/device_code.h" + #include #include #include #include + #include "paddle/fluid/platform/enforce.h" DECLARE_string(cuda_dir); diff --git a/paddle/fluid/platform/device_code.h b/paddle/fluid/platform/device_code.h index 6128d8b78db05e6ba92ffae46ee4c9cc8895c105..4199317a8ceb03dddc5cc439dc455725b8863678 100644 --- a/paddle/fluid/platform/device_code.h +++ b/paddle/fluid/platform/device_code.h @@ -19,6 +19,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/platform/device_context.h" #ifdef PADDLE_WITH_CUDA #include "paddle/fluid/platform/dynload/cuda_driver.h" diff --git a/paddle/fluid/platform/device_context.h b/paddle/fluid/platform/device_context.h index 28d94627f9575573075beaa328a682314b5c3b71..e1438a1eefa62b238241c3185daf69d3418f2dc9 100644 --- a/paddle/fluid/platform/device_context.h +++ b/paddle/fluid/platform/device_context.h @@ -17,6 +17,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/memory/malloc.h" #ifdef PADDLE_WITH_CUDA #include "paddle/fluid/platform/cuda_helper.h" @@ -35,6 +36,7 @@ limitations under the License. */ #endif #include + #include "glog/logging.h" #include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/place.h" @@ -44,6 +46,11 @@ limitations under the License. */ #define EIGEN_USE_THREADS #include "unsupported/Eigen/CXX11/Tensor" +namespace Eigen { +struct DefaultDevice; +struct GpuDevice; +} // namespace Eigen + #ifdef PADDLE_WITH_XPU #include "paddle/fluid/platform/xpu_header.h" #endif @@ -118,8 +125,8 @@ struct DefaultDeviceContextType { #ifdef PADDLE_WITH_CUDA -class EigenCudaStreamDevice; class CudnnWorkspaceHandle; +class EigenCudaStreamDevice; class CUDAContext { public: diff --git a/paddle/fluid/platform/device_memory_aligment.h b/paddle/fluid/platform/device_memory_aligment.h index 2c19a2b10626d0e312c267feba0104a23005909e..5cc33fd31f19cfc1512b1d41c5c9dc918f3c6491 100644 --- a/paddle/fluid/platform/device_memory_aligment.h +++ b/paddle/fluid/platform/device_memory_aligment.h @@ -14,6 +14,7 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/platform/cpu_info.h" #include "paddle/fluid/platform/place.h" #ifdef PADDLE_WITH_CUDA diff --git a/paddle/fluid/platform/device_tracer.h b/paddle/fluid/platform/device_tracer.h index 85168a046fb3fa4317956737871cde56e15bedfb..9bae7a870522cd1019a8bf0facb2cfb6e6772118 100644 --- a/paddle/fluid/platform/device_tracer.h +++ b/paddle/fluid/platform/device_tracer.h @@ -28,6 +28,8 @@ namespace platform { /////////////////////// // WARN: Under Development. Don't depend on it yet. ////////////////////// +class Event; + inline uint64_t PosixInNsec() { struct timeval tv; gettimeofday(&tv, nullptr); diff --git a/paddle/fluid/platform/dynload/cublas.h b/paddle/fluid/platform/dynload/cublas.h index 562e7542012247c86add9e64f182d857ea969c60..045caab748811aac32f0ad3d20dfed1663a96f4a 100644 --- a/paddle/fluid/platform/dynload/cublas.h +++ b/paddle/fluid/platform/dynload/cublas.h @@ -19,6 +19,7 @@ limitations under the License. */ #include #include // NOLINT #include + #include "paddle/fluid/platform/dynload/dynamic_loader.h" #include "paddle/fluid/platform/port.h" diff --git a/paddle/fluid/platform/dynload/cuda_driver.h b/paddle/fluid/platform/dynload/cuda_driver.h index 056fcc069dba927fec0f04784f9edfd4e44ef3d2..5799b084f5f3157fda90583b128dcdce4485cc83 100644 --- a/paddle/fluid/platform/dynload/cuda_driver.h +++ b/paddle/fluid/platform/dynload/cuda_driver.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include // NOLINT + #include "paddle/fluid/platform/dynload/dynamic_loader.h" #include "paddle/fluid/platform/port.h" diff --git a/paddle/fluid/platform/dynload/cudnn.cc b/paddle/fluid/platform/dynload/cudnn.cc index 1166dc5e4ad93fa23ef00623de6777b78b56ea09..4c59fe5e9bae4b751d87b0d2feb1ea0bd02bcf1d 100644 --- a/paddle/fluid/platform/dynload/cudnn.cc +++ b/paddle/fluid/platform/dynload/cudnn.cc @@ -30,6 +30,10 @@ CUDNN_DNN_ROUTINE_EACH_R2(DEFINE_WRAP); CUDNN_DNN_ROUTINE_EACH_AFTER_R3(DEFINE_WRAP); #endif +#ifdef CUDNN_DNN_ROUTINE_EACH_AFTER_R3_LESS_R8 +CUDNN_DNN_ROUTINE_EACH_AFTER_R3_LESS_R8(DEFINE_WRAP); +#endif + #ifdef CUDNN_DNN_ROUTINE_EACH_AFTER_R4 CUDNN_DNN_ROUTINE_EACH_AFTER_R4(DEFINE_WRAP); #endif @@ -54,6 +58,10 @@ CUDNN_DNN_ROUTINE_EACH_AFTER_TWO_R7(DEFINE_WRAP); CUDNN_DNN_ROUTINE_EACH_AFTER_R7(DEFINE_WRAP); #endif +#ifdef CUDNN_DNN_ROUTINE_EACH_R8 +CUDNN_DNN_ROUTINE_EACH_R8(DEFINE_WRAP); +#endif + bool HasCUDNN() { std::call_once(cudnn_dso_flag, []() { cudnn_dso_handle = GetCUDNNDsoHandle(); }); diff --git a/paddle/fluid/platform/dynload/cudnn.h b/paddle/fluid/platform/dynload/cudnn.h index fba41417648ba606727d00e71f48766f47479989..88b545b48e5328883c1554c0efc75140006ce787 100644 --- a/paddle/fluid/platform/dynload/cudnn.h +++ b/paddle/fluid/platform/dynload/cudnn.h @@ -13,10 +13,10 @@ See the License for the specific language governing permissions and limitations under the License. */ #pragma once -#include - #include +#include #include // NOLINT + #include "paddle/fluid/platform/dynload/dynamic_loader.h" #include "paddle/fluid/platform/port.h" @@ -134,6 +134,7 @@ CUDNN_DNN_ROUTINE_EACH_AFTER_R3(DECLARE_DYNAMIC_LOAD_CUDNN_WRAP) #define CUDNN_DNN_ROUTINE_EACH_AFTER_R3_LESS_R8(__macro) \ __macro(cudnnGetConvolutionBackwardFilterAlgorithm); \ __macro(cudnnGetConvolutionForwardAlgorithm); \ + __macro(cudnnGetConvolutionBackwardDataAlgorithm); \ __macro(cudnnSetRNNDescriptor); CUDNN_DNN_ROUTINE_EACH_AFTER_R3_LESS_R8(DECLARE_DYNAMIC_LOAD_CUDNN_WRAP) #endif diff --git a/paddle/fluid/platform/dynload/cupti.cc b/paddle/fluid/platform/dynload/cupti.cc index a25660c6ed411bbe444ac8aa10a324cbed9c9d4f..d8381580c90d4ef9cd1bf5adbce7a733f81c91e0 100644 --- a/paddle/fluid/platform/dynload/cupti.cc +++ b/paddle/fluid/platform/dynload/cupti.cc @@ -15,7 +15,6 @@ limitations under the License. */ #ifdef PADDLE_WITH_CUPTI #include "paddle/fluid/platform/dynload/cupti.h" -#include "paddle/fluid/platform/enforce.h" namespace paddle { namespace platform { diff --git a/paddle/fluid/platform/dynload/curand.h b/paddle/fluid/platform/dynload/curand.h index 48076e5478a30d86802e10f35bfa7cabfc0deab9..7a160664bc2e8973951892c23981fdd746b2123f 100644 --- a/paddle/fluid/platform/dynload/curand.h +++ b/paddle/fluid/platform/dynload/curand.h @@ -14,11 +14,10 @@ limitations under the License. */ #pragma once #include - #include // NOLINT -#include "paddle/fluid/platform/port.h" #include "paddle/fluid/platform/dynload/dynamic_loader.h" +#include "paddle/fluid/platform/port.h" namespace paddle { namespace platform { diff --git a/paddle/fluid/platform/dynload/cusolver.h b/paddle/fluid/platform/dynload/cusolver.h index ba2d38729c12e2c5fc978a2768cf36c3af3b7c4c..561f20af45ab5c38f18ed161cb2135589b71a932 100644 --- a/paddle/fluid/platform/dynload/cusolver.h +++ b/paddle/fluid/platform/dynload/cusolver.h @@ -15,11 +15,10 @@ limitations under the License. */ #include #include - #include // NOLINT -#include "paddle/fluid/platform/port.h" #include "paddle/fluid/platform/dynload/dynamic_loader.h" +#include "paddle/fluid/platform/port.h" namespace paddle { namespace platform { diff --git a/paddle/fluid/platform/dynload/dynamic_loader.cc b/paddle/fluid/platform/dynload/dynamic_loader.cc index 82e4f6ac75ec1e3cc927a4018b83616298eefbff..0c8a64ccf6943aa4359ed6ae094e12e4d6bccf8d 100644 --- a/paddle/fluid/platform/dynload/dynamic_loader.cc +++ b/paddle/fluid/platform/dynload/dynamic_loader.cc @@ -13,8 +13,6 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/platform/dynload/dynamic_loader.h" -#include -#include // NOLINT #include #include @@ -22,7 +20,6 @@ limitations under the License. */ #include "glog/logging.h" #include "paddle/fluid/platform/dynload/cupti_lib_path.h" #include "paddle/fluid/platform/enforce.h" -#include "paddle/fluid/platform/port.h" DEFINE_string(cudnn_dir, "", "Specify path for loading libcudnn.so. For instance, " diff --git a/paddle/fluid/platform/dynload/mklml.h b/paddle/fluid/platform/dynload/mklml.h index 2be95b113b2f243b9813353877ddc61421b1a56c..9369cf131da9aba2f1c0e8b85441f4eba74996bc 100644 --- a/paddle/fluid/platform/dynload/mklml.h +++ b/paddle/fluid/platform/dynload/mklml.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include // NOLINT + #include "paddle/fluid/platform/dynload/dynamic_loader.h" #include "paddle/fluid/platform/port.h" diff --git a/paddle/fluid/platform/dynload/nccl.h b/paddle/fluid/platform/dynload/nccl.h index 1d5fa45ecf684597be5a3d5234456a871221d329..407f34f0ac3e0e1d5244552834207b3ca28cbe89 100644 --- a/paddle/fluid/platform/dynload/nccl.h +++ b/paddle/fluid/platform/dynload/nccl.h @@ -14,8 +14,8 @@ limitations under the License. */ #pragma once #include - #include // NOLINT + #include "paddle/fluid/platform/dynload/dynamic_loader.h" #include "paddle/fluid/platform/port.h" diff --git a/paddle/fluid/platform/dynload/nvrtc.h b/paddle/fluid/platform/dynload/nvrtc.h index 9464a23ba1ef9f0b24c4ef727c2de8176149f166..720450d28b16f204cfc54b4e617adbe66997f539 100644 --- a/paddle/fluid/platform/dynload/nvrtc.h +++ b/paddle/fluid/platform/dynload/nvrtc.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include // NOLINT + #include "paddle/fluid/platform/dynload/dynamic_loader.h" #include "paddle/fluid/platform/port.h" diff --git a/paddle/fluid/platform/dynload/tensorrt.h b/paddle/fluid/platform/dynload/tensorrt.h index 67a79ce4bb1594afd23d960d18b75a8f0f1b2513..cb751071062c1eae8b42e6dcdfba04989480c512 100644 --- a/paddle/fluid/platform/dynload/tensorrt.h +++ b/paddle/fluid/platform/dynload/tensorrt.h @@ -35,7 +35,7 @@ extern void* tensorrt_dso_handle; #define DECLARE_DYNAMIC_LOAD_TENSORRT_WRAP(__name) \ struct DynLoad__##__name { \ template \ - auto operator()(Args... args) -> DECLARE_TYPE(__name, args...) { \ + void* operator()(Args... args) { \ std::call_once(tensorrt_dso_flag, []() { \ tensorrt_dso_handle = paddle::platform::dynload::GetTensorRtHandle(); \ }); \ @@ -44,7 +44,8 @@ extern void* tensorrt_dso_handle; return nullptr; \ } \ using tensorrt_func = decltype(&::__name); \ - return reinterpret_cast(p_##__name)(args...); \ + auto ret = reinterpret_cast(p_##__name)(args...); \ + return static_cast(ret); \ } \ }; \ extern DynLoad__##__name __name diff --git a/paddle/fluid/platform/dynload/warpctc.h b/paddle/fluid/platform/dynload/warpctc.h index bc1977b05de5da062fae5662dfb51d4a74868c8a..e10a7233b6248705492f641044771e6531fb00a4 100644 --- a/paddle/fluid/platform/dynload/warpctc.h +++ b/paddle/fluid/platform/dynload/warpctc.h @@ -15,6 +15,7 @@ limitations under the License. */ #pragma once #include // NOLINT + #include "paddle/fluid/platform/dynload/dynamic_loader.h" #include "paddle/fluid/platform/port.h" #include "warpctc/include/ctc.h" diff --git a/paddle/fluid/platform/enforce.h b/paddle/fluid/platform/enforce.h index ce1ec507307a2721e641ac15425c6a2321e514c7..a3ae9e48eea30616770b6e6babcefc5026f22905 100644 --- a/paddle/fluid/platform/enforce.h +++ b/paddle/fluid/platform/enforce.h @@ -70,6 +70,12 @@ limitations under the License. */ #include "paddle/fluid/framework/type_defs.h" #include "paddle/fluid/imperative/type_defs.h" +namespace paddle { +namespace platform { +class ErrorSummary; +} // namespace platform +} // namespace paddle + DECLARE_int32(call_stack_level); namespace paddle { diff --git a/paddle/fluid/platform/errors_test.cc b/paddle/fluid/platform/errors_test.cc index 3c84215b5e5900897a1c49a0f81428dd7beae5e7..a73c1ba3d34379df2e3999dd1a8519a5a9c792f9 100644 --- a/paddle/fluid/platform/errors_test.cc +++ b/paddle/fluid/platform/errors_test.cc @@ -12,7 +12,6 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include #include #include "gtest/gtest.h" diff --git a/paddle/fluid/platform/float16_test.cc b/paddle/fluid/platform/float16_test.cc index 261ec68483faf6ca7a34a641cd53cd2113381e9c..ec8a98eeb1a14d88a5aecea49140a3c2dd177b78 100644 --- a/paddle/fluid/platform/float16_test.cc +++ b/paddle/fluid/platform/float16_test.cc @@ -10,13 +10,11 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/platform/float16.h" -#include - #define GLOG_NO_ABBREVIATED_SEVERITIES // msvc conflict logging with windows.h +#include #include "gtest/gtest.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/platform/enforce.h" -#include "paddle/fluid/platform/init.h" namespace paddle { namespace platform { diff --git a/paddle/fluid/platform/init_test.cc b/paddle/fluid/platform/init_test.cc index f14fbdd74f95bfbed53ff787af861ce4656159c0..f1832206a1abbbfccb5e79b39b1c67307aca6769 100644 --- a/paddle/fluid/platform/init_test.cc +++ b/paddle/fluid/platform/init_test.cc @@ -15,6 +15,7 @@ limitations under the License. */ #include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/init.h" +#include "paddle/fluid/platform/xpu_info.h" TEST(InitDevices, CPU) { using paddle::framework::InitDevices; diff --git a/paddle/fluid/platform/lodtensor_printer.cc b/paddle/fluid/platform/lodtensor_printer.cc index 33d0fe6268046b3bcbd4addc75fcf34c03d70bf9..0be4233269e0f4f732c6b6a2622e7db3cb8e37e3 100644 --- a/paddle/fluid/platform/lodtensor_printer.cc +++ b/paddle/fluid/platform/lodtensor_printer.cc @@ -13,9 +13,15 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/platform/lodtensor_printer.h" -#include "paddle/fluid/framework/lod_tensor_array.h" + #include "paddle/fluid/framework/scope.h" -#include "paddle/fluid/framework/variable.h" + +namespace paddle { +namespace framework { +class LoDTensor; +class Variable; +} // namespace framework +} // namespace paddle namespace paddle { namespace platform { diff --git a/paddle/fluid/platform/lodtensor_printer.h b/paddle/fluid/platform/lodtensor_printer.h index e070e3540c996a0fe248a3b9312c18d948395426..e0bd1fff197f700303e3e7d9c9afe18937a1b9e6 100644 --- a/paddle/fluid/platform/lodtensor_printer.h +++ b/paddle/fluid/platform/lodtensor_printer.h @@ -14,8 +14,15 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/framework/scope.h" +namespace paddle { +namespace framework { +class Scope; +} // namespace framework +} // namespace paddle + namespace paddle { namespace platform { void PrintVar(framework::Scope* scope, const std::string& var_name, diff --git a/paddle/fluid/platform/lodtensor_printer_test.cc b/paddle/fluid/platform/lodtensor_printer_test.cc index 19e85284b8fc8842b2e5662343c74fc451b08d9e..5b2af270740766307990c5cd53585a9c62606da3 100644 --- a/paddle/fluid/platform/lodtensor_printer_test.cc +++ b/paddle/fluid/platform/lodtensor_printer_test.cc @@ -12,9 +12,9 @@ // See the License for the specific language governing permissions and // limitations under the License. #include "paddle/fluid/platform/lodtensor_printer.h" + #include "gtest/gtest.h" #include "paddle/fluid/framework/scope.h" -#include "paddle/fluid/framework/variable.h" TEST(LodTensorPrinter, PrintVar) { paddle::framework::Scope scope; diff --git a/paddle/fluid/platform/monitor.cc b/paddle/fluid/platform/monitor.cc index e65e09f45c0c809f126309ebc16915ab42e1ff0a..76554012bf51e34fc99db7759404f0e8d6f96cd6 100644 --- a/paddle/fluid/platform/monitor.cc +++ b/paddle/fluid/platform/monitor.cc @@ -13,7 +13,6 @@ // limitations under the License. #include "paddle/fluid/platform/monitor.h" -#include namespace paddle { namespace platform {} // namespace platform diff --git a/paddle/fluid/platform/monitor.h b/paddle/fluid/platform/monitor.h index 2f186420b414280c40ece763307e8e90c9a6d505..b57fae9daac41f37829309c4bc5f58fb2606ca02 100644 --- a/paddle/fluid/platform/monitor.h +++ b/paddle/fluid/platform/monitor.h @@ -22,6 +22,7 @@ #include #include #include + #include "glog/logging.h" namespace paddle { diff --git a/paddle/fluid/platform/place_test.cc b/paddle/fluid/platform/place_test.cc index 13f28c73f4504aea85d6155a3daa8f8f01b26385..41e084efa57004c3935e8a9f4200c1e5a4e8f664 100644 --- a/paddle/fluid/platform/place_test.cc +++ b/paddle/fluid/platform/place_test.cc @@ -12,7 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. #include "paddle/fluid/platform/place.h" -#include + #include "gtest/gtest.h" TEST(Place, Equality) { diff --git a/paddle/fluid/platform/profiler.cc b/paddle/fluid/platform/profiler.cc index 85759bc6e2ea3700df6a17f885385b85dfbcb6a3..56a6275b582d753c0fa579d624b7f50c16f579b8 100644 --- a/paddle/fluid/platform/profiler.cc +++ b/paddle/fluid/platform/profiler.cc @@ -12,28 +12,15 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include -#include #include -#include #include // NOLINT #include -#include #include -#include -#ifdef PADDLE_WITH_CUDA -#include -#endif // PADDLE_WITH_CUDA -#include "glog/logging.h" -#include "paddle/fluid/framework/block_desc.h" #include "paddle/fluid/platform/device_tracer.h" #include "paddle/fluid/platform/enforce.h" -#include "paddle/fluid/platform/errors.h" -#include "paddle/fluid/platform/port.h" #include "paddle/fluid/platform/profiler.h" #include "paddle/fluid/platform/profiler_helper.h" -#include "paddle/fluid/string/printf.h" DEFINE_bool(enable_rpc_profiler, false, "Enable rpc profiler or not."); diff --git a/paddle/fluid/platform/profiler.h b/paddle/fluid/platform/profiler.h index 12049d815cf85dbd54d9188240dbfa5213e94447..0185328ff32004a35283c1d2883c2834b49b473b 100644 --- a/paddle/fluid/platform/profiler.h +++ b/paddle/fluid/platform/profiler.h @@ -23,6 +23,7 @@ limitations under the License. */ #include #include #include + #include "paddle/fluid/framework/type_defs.h" #include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/event.h" diff --git a/paddle/fluid/platform/profiler_test.cc b/paddle/fluid/platform/profiler_test.cc index 4d340a06342822ffd44bac7ebc6114424d9bab60..2ce898d46171e190f546d8715a1f02845d62a848 100644 --- a/paddle/fluid/platform/profiler_test.cc +++ b/paddle/fluid/platform/profiler_test.cc @@ -13,10 +13,9 @@ See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/platform/profiler.h" + #include -#ifdef PADDLE_WITH_CUDA -#include -#endif + #include "gtest/gtest.h" TEST(Event, CpuElapsedTime) { diff --git a/paddle/fluid/platform/stream/cuda_stream.h b/paddle/fluid/platform/stream/cuda_stream.h index 4272d5fd0b14c5d705d4af84691b3b8d24d1c7f5..c65d107cf454676777ef85bf557299ab3f07483c 100644 --- a/paddle/fluid/platform/stream/cuda_stream.h +++ b/paddle/fluid/platform/stream/cuda_stream.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include + #include "paddle/fluid/platform/gpu_info.h" #include "paddle/fluid/platform/macros.h" #include "paddle/fluid/platform/place.h" diff --git a/paddle/fluid/platform/timer.h b/paddle/fluid/platform/timer.h index ff0e1d95c2946b6db3ac0c05acba64ff5d3c59ef..09dcc4369beb06f11a429e4b9ffbae454a34f441 100644 --- a/paddle/fluid/platform/timer.h +++ b/paddle/fluid/platform/timer.h @@ -14,6 +14,7 @@ limitations under the License. */ #pragma once #include + #include "paddle/fluid/platform/port.h" #ifdef _WIN32 diff --git a/paddle/fluid/platform/xpu_header.h b/paddle/fluid/platform/xpu_header.h index d8c5f85f9cfe4b9d6ac07069fff89d37c695af5b..95e4979951d7689b233166170060916033311011 100644 --- a/paddle/fluid/platform/xpu_header.h +++ b/paddle/fluid/platform/xpu_header.h @@ -15,9 +15,36 @@ #pragma once #ifdef PADDLE_WITH_XPU +#include +#include + +#include "paddle/fluid/platform/errors.h" #include "xpu/api.h" #include "xpu/runtime.h" #include "xpu/runtime_ex.h" namespace xpu = baidu::xpu::api; + +class XPUActHelper { + public: + // Convert string to activation type in xpu + static xpu::Activation_t ConvertToXpuActType( + const std::string& act_type_str) { + static std::unordered_map str2act = { + {"linear", xpu::Activation_t::LINEAR}, + {"relu", xpu::Activation_t::RELU}, + {"sigmoid", xpu::Activation_t::SIGMOID}, + {"tanh", xpu::Activation_t::TANH}, + {"gelu", xpu::Activation_t::GELU}, + {"leaky_relu", xpu::Activation_t::LEAKY_RELU}, + {"sqrt", xpu::Activation_t::SQRT}, + {"square", xpu::Activation_t::SQUARE}}; + + auto res = str2act.find(act_type_str); + PADDLE_ENFORCE_NE(res, str2act.end(), + paddle::platform::errors::InvalidArgument( + "Invalid activation type(%s) in XPU", act_type_str)); + return res->second; + } +}; #endif diff --git a/paddle/fluid/pybind/imperative.cc b/paddle/fluid/pybind/imperative.cc index 489dd198876204486fc94518fbef0c806d0543d4..da9900e2b271d08394cbc5e397f31b84e3b4d156 100644 --- a/paddle/fluid/pybind/imperative.cc +++ b/paddle/fluid/pybind/imperative.cc @@ -649,61 +649,47 @@ void BindImperative(py::module *m_ptr) { return self.NewVarBase(tensor.place(), false); }, py::return_value_policy::copy, R"DOC( - **Notes**: - **This API is ONLY available in Dygraph mode** - Returns a new Variable, detached from the current graph. - - Returns: - ( :ref:`api_guide_Variable_en` | dtype is same as current Variable): The detached Variable. + Returns a new Tensor, detached from the current graph. + Returns: The detached Tensor. Examples: .. code-block:: python - import paddle.fluid as fluid - from paddle.fluid.dygraph.base import to_variable - from paddle.fluid.dygraph import Linear - import numpy as np - - data = np.random.uniform(-1, 1, [30, 10, 32]).astype('float32') - with fluid.dygraph.guard(): - linear = Linear(32, 64) - data = to_variable(data) - x = linear(data) - y = x.detach() + import paddle + paddle.disable_static() + linear = Linear(32, 64) + data = paddle.uniform(shape=[30, 10, 32], -1, 1) + x = linear(data) + y = x.detach() )DOC") .def("clear_gradient", &imperative::VarBase::ClearGradient, R"DOC( - **Notes**: - **1. This API is ONLY available in Dygraph mode** - - **2. Use it only Variable has gradient, normally we use this for Parameters since other temporal Variable will be deleted by Python's GC** + Only for Tensor that has gradient, normally we use this for Parameters since other temporary Tensor doesen't has gradient. - Clear (set to ``0`` ) the Gradient of Current Variable + The Gradient of current Tensor will be set to ``0`` . Returns: None Examples: .. code-block:: python - import paddle.fluid as fluid - import numpy as np - - x = np.ones([2, 2], np.float32) - with fluid.dygraph.guard(): - inputs2 = [] - for _ in range(10): - tmp = fluid.dygraph.base.to_variable(x) - tmp.stop_gradient=False - inputs2.append(tmp) - ret2 = fluid.layers.sums(inputs2) - loss2 = fluid.layers.reduce_sum(ret2) - loss2.backward() - print(loss2.gradient()) - loss2.clear_gradient() - print("After clear {}".format(loss2.gradient())) + import paddle + paddle.disable_static() + + inputs = [] + for _ in range(10): + tmp = paddle.ones([2, 2]) + tmp.stop_gradient=False + inputs.append(tmp) + ret = paddle.sums(inputs2) + loss = paddle.reduce_sum(ret) + loss.backward() + print("Before clear_gradient {}".format(loss.grad)) + loss.clear_gradient() + print("After clear_gradient {}".format(loss.grad)) )DOC") .def("_run_backward", [](imperative::VarBase &self, const imperative::Tracer &tracer, diff --git a/paddle/fluid/pybind/tensor_py.h b/paddle/fluid/pybind/tensor_py.h index 5ee15073267b6eac8978022a70ead5d0f439c62f..142ab2bb9d790175a843d1b81b74dc762a3213fd 100644 --- a/paddle/fluid/pybind/tensor_py.h +++ b/paddle/fluid/pybind/tensor_py.h @@ -41,6 +41,7 @@ namespace detail { // import numpy as np // print np.dtype(np.float16).num # 23 constexpr int NPY_FLOAT16_ = 23; +constexpr int NPY_UINT16_ = 4; // Note: Since float16 is not a builtin type in C++, we register // paddle::platform::float16 as numpy.float16. @@ -60,6 +61,23 @@ struct npy_format_descriptor { static PYBIND11_DESCR name() { return _("float16"); } }; +// Note: Since bfloat16 is not a builtin type in C++ and in numpy, +// we register paddle::platform::bfloat16 as numpy.uint16. +template <> +struct npy_format_descriptor { + static py::dtype dtype() { + handle ptr = npy_api::get().PyArray_DescrFromType_(NPY_UINT16_); + return reinterpret_borrow(ptr); + } + static std::string format() { + // Note: "H" represents UINT16. + // Details at: + // https://docs.python.org/3/library/struct.html#format-characters. + return "H"; + } + static PYBIND11_DESCR name() { return _("bfloat16"); } +}; + } // namespace detail } // namespace pybind11 diff --git a/paddle/fluid/string/piece_test.cc b/paddle/fluid/string/piece_test.cc index 80b712b08ccbcc3fc33e26f8c8c5b0531a71d974..544b5985ed21432488200768a28a3bae69f00a7f 100644 --- a/paddle/fluid/string/piece_test.cc +++ b/paddle/fluid/string/piece_test.cc @@ -14,8 +14,6 @@ #include "paddle/fluid/string/piece.h" -#include - #include "gtest/gtest.h" TEST(StringPiece, Construct) { diff --git a/paddle/fluid/string/pretty_log.h b/paddle/fluid/string/pretty_log.h index da4c1f326fbc2703e639279d79acb52dc748266a..5e2aedb22ad6899d046ffc8d11b0a2df2fca5ae3 100644 --- a/paddle/fluid/string/pretty_log.h +++ b/paddle/fluid/string/pretty_log.h @@ -18,6 +18,7 @@ #include #include #include + #include "paddle/fluid/string/printf.h" DECLARE_bool(color); diff --git a/paddle/fluid/string/string_helper.cc b/paddle/fluid/string/string_helper.cc index 712db90d2f4ba62abdb0747827d78266503efcc5..8731e8fca8a5c4d8b13cf5fb6b38c5cf710225aa 100644 --- a/paddle/fluid/string/string_helper.cc +++ b/paddle/fluid/string/string_helper.cc @@ -13,12 +13,12 @@ // limitations under the License. #include "paddle/fluid/string/string_helper.h" + #include #include #include #include -#include -#include "boost/lexical_cast.hpp" + #include "glog/logging.h" namespace paddle { diff --git a/paddle/fluid/string/string_helper.h b/paddle/fluid/string/string_helper.h index 8bf379a6b3423fed07d3ab670e0492a9316e8e19..499539226bd318d5ee297eccc81c13c7997bb5b9 100644 --- a/paddle/fluid/string/string_helper.h +++ b/paddle/fluid/string/string_helper.h @@ -20,6 +20,7 @@ #include #include #include + #include "boost/lexical_cast.hpp" #include "glog/logging.h" diff --git a/paddle/scripts/installation_validate.py b/paddle/scripts/installation_validate.py index f84e2f4b176609dec28a8e29afea74d3654e9e4c..b765291a3b80fb3d5bf4e1331613eb3fd7b0dc79 100644 --- a/paddle/scripts/installation_validate.py +++ b/paddle/scripts/installation_validate.py @@ -15,4 +15,5 @@ import paddle.fluid as fluid import paddle as pd +fluid.install_check.run_check() print(pd.__version__) diff --git a/paddle/scripts/paddle_build.bat b/paddle/scripts/paddle_build.bat index 524c086c07925c880dfb46a70a1f930686bae867..7ad2787d181588f4f2facf5db72e033feef87989 100644 --- a/paddle/scripts/paddle_build.bat +++ b/paddle/scripts/paddle_build.bat @@ -40,6 +40,7 @@ if not defined WITH_TPCACHE set WITH_TPCACHE=ON rem -------set cache build work directory----------- +rmdir build\python /s/q if "%WITH_CACHE%"=="OFF" ( rmdir build /s/q goto :mkbuild @@ -48,10 +49,10 @@ if "%WITH_CACHE%"=="OFF" ( for /F %%# in ('wmic os get localdatetime^|findstr 20') do set datetime=%%# set day_now=%datetime:~6,2% set day_before=-1 -set /p day_before= day.txt - type day.txt + echo %day_now% > %work_dir%\..\day.txt + type %work_dir%\..\day.txt rmdir build /s/q ) git diff origin/develop --stat --name-only | findstr "cmake CMakeLists.txt paddle_build.bat" @@ -208,7 +209,7 @@ echo Build third_party the %build_times% time: msbuild /m /p:Configuration=Release /verbosity:quiet third_party.vcxproj if %ERRORLEVEL% NEQ 0 ( set /a build_times=%build_times%+1 - if %build_times% GTR 3 ( + if %build_times% GTR 2 ( exit /b 7 ) else ( echo Build third_party failed, will retry! @@ -223,7 +224,7 @@ echo Build Paddle the %build_times% time: msbuild /m:%PARALLEL_PROJECT_COUNT% /p:TrackFileAccess=false /p:CLToolExe=clcache.exe /p:CLToolPath=%PYTHON_ROOT%\Scripts /p:Configuration=Release /verbosity:minimal paddle.sln if %ERRORLEVEL% NEQ 0 ( set /a build_times=%build_times%+1 - if %build_times% GTR 2 ( + if %build_times% GTR 1 ( exit /b 7 ) else ( echo Build Paddle failed, will retry! @@ -301,6 +302,7 @@ goto:eof call paddle_winci\Scripts\deactivate.bat 2>NUL for /F %%# in ('wmic os get localdatetime^|findstr 20') do set end=%%# set end=%end:~4,10% +call :timestamp "%start%" "%end%" "1 card TestCases Total" call :timestamp "%start%" "%end%" "TestCases Total" echo Running unit tests failed, will exit! exit /b 8 @@ -313,6 +315,7 @@ echo ======================================== for /F %%# in ('wmic os get localdatetime^|findstr 20') do set end=%%# set end=%end:~4,10% +call :timestamp "%start%" "%end%" "1 card TestCases Total" call :timestamp "%start%" "%end%" "TestCases Total" cd %work_dir%\paddle\fluid\inference\api\demo_ci @@ -345,6 +348,8 @@ echo ============================================ >> check_change_of_unitte echo EOF>> check_change_of_unittest.sh echo spec_path=$(pwd)/UNITTEST_PR.spec>> check_change_of_unittest.sh echo ctest -N ^| awk -F ':' '{print $2}' ^| sed '/^^$/d' ^| sed '$d' ^> ${spec_path}>> check_change_of_unittest.sh +echo num=$(awk 'END{print NR}' ${spec_path})>> check_change_of_unittest.sh +echo echo "Windows 1 card TestCases count is $num">> check_change_of_unittest.sh echo UPSTREAM_URL='https://github.com/PaddlePaddle/Paddle'>> check_change_of_unittest.sh echo origin_upstream_url=`git remote -v ^| awk '{print $1, $2}' ^| uniq ^| grep upstream ^| awk '{print $2}'`>> check_change_of_unittest.sh echo if [ "$origin_upstream_url" == "" ]; then>> check_change_of_unittest.sh @@ -455,8 +460,6 @@ taskkill /f /im cvtres.exe 2>NUL taskkill /f /im rc.exe 2>NUL wmic process where name="op_function_generator.exe" call terminate 2>NUL taskkill /f /im python.exe 2>NUL -call paddle_winci\Scripts\deactivate.bat 2>NUL -del %PADDLE_WHL_FILE_WIN% taskkill /f /im python.exe 2>NUL echo Windows CI run successfully! exit /b 0 diff --git a/paddle/testing/paddle_gtest_main.cc b/paddle/testing/paddle_gtest_main.cc index c19bd56fbbf4de343abea198674eaf8b545321f5..5400c55a0b150ecc0f534ed1bbb83aba236ec24b 100644 --- a/paddle/testing/paddle_gtest_main.cc +++ b/paddle/testing/paddle_gtest_main.cc @@ -12,12 +12,9 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ -#include - #include "gflags/gflags.h" #include "gtest/gtest.h" #include "paddle/fluid/memory/allocation/allocator_strategy.h" -#include "paddle/fluid/memory/memory.h" #include "paddle/fluid/platform/init.h" int main(int argc, char** argv) { diff --git a/python/paddle/__init__.py b/python/paddle/__init__.py index e749cf88b6a49846b678c1c4258d2b3c2a8c01a4..e707de8e068640e28d3a06d539e33f767d7ab2b3 100755 --- a/python/paddle/__init__.py +++ b/python/paddle/__init__.py @@ -230,7 +230,6 @@ from .framework import CPUPlace #DEFINE_ALIAS from .framework import CUDAPlace #DEFINE_ALIAS from .framework import CUDAPinnedPlace #DEFINE_ALIAS -from .framework import to_variable #DEFINE_ALIAS from .framework import grad #DEFINE_ALIAS from .framework import no_grad #DEFINE_ALIAS from .framework import save #DEFINE_ALIAS @@ -258,6 +257,8 @@ from .tensor.stat import numel #DEFINE_ALIAS from .device import get_cudnn_version from .device import set_device from .device import get_device +from .device import is_compiled_with_xpu +from .device import XPUPlace # from .tensor.tensor import Tensor #DEFINE_ALIAS # from .tensor.tensor import LoDTensor #DEFINE_ALIAS # from .tensor.tensor import LoDTensorArray #DEFINE_ALIAS diff --git a/python/paddle/dataset/__init__.py b/python/paddle/dataset/__init__.py index 54aa3edc51d3734633ce077a59bd86cec8d09032..d1e5975856515b1fc4f6aba67e8a110e3288cc33 100644 --- a/python/paddle/dataset/__init__.py +++ b/python/paddle/dataset/__init__.py @@ -22,7 +22,6 @@ import paddle.dataset.cifar import paddle.dataset.movielens import paddle.dataset.conll05 import paddle.dataset.uci_housing -import paddle.dataset.sentiment import paddle.dataset.wmt14 import paddle.dataset.wmt16 import paddle.dataset.mq2007 @@ -37,7 +36,6 @@ __all__ = [ 'cifar', 'movielens', 'conll05', - 'sentiment', 'uci_housing', 'wmt14', 'wmt16', diff --git a/python/paddle/dataset/sentiment.py b/python/paddle/dataset/sentiment.py deleted file mode 100644 index 721cb5a819282d5ef130de4d4596116326349d71..0000000000000000000000000000000000000000 --- a/python/paddle/dataset/sentiment.py +++ /dev/null @@ -1,150 +0,0 @@ -# /usr/bin/env python -# -*- coding:utf-8 -*- - -# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" -The script fetch and preprocess movie_reviews data set that provided by NLTK - -TODO(yuyang18): Complete dataset. -""" - -from __future__ import print_function - -import six -import collections -from itertools import chain - -import os -import nltk -from nltk.corpus import movie_reviews -import zipfile -from functools import cmp_to_key - -import paddle.dataset.common - -URL = "https://corpora.bj.bcebos.com/movie_reviews%2Fmovie_reviews.zip" -MD5 = '155de2b77c6834dd8eea7cbe88e93acb' - -__all__ = ['train', 'test', 'get_word_dict'] -NUM_TRAINING_INSTANCES = 1600 -NUM_TOTAL_INSTANCES = 2000 - - -def download_data_if_not_yet(): - """ - Download the data set, if the data set is not download. - """ - try: - # download and extract movie_reviews.zip - paddle.dataset.common.download( - URL, 'corpora', md5sum=MD5, save_name='movie_reviews.zip') - path = os.path.join(paddle.dataset.common.DATA_HOME, 'corpora') - filename = os.path.join(path, 'movie_reviews.zip') - zip_file = zipfile.ZipFile(filename) - zip_file.extractall(path) - zip_file.close() - # make sure that nltk can find the data - if paddle.dataset.common.DATA_HOME not in nltk.data.path: - nltk.data.path.append(paddle.dataset.common.DATA_HOME) - movie_reviews.categories() - except LookupError: - print("Downloading movie_reviews data set, please wait.....") - nltk.download( - 'movie_reviews', download_dir=paddle.dataset.common.DATA_HOME) - print("Download data set success.....") - print("Path is " + nltk.data.find('corpora/movie_reviews').path) - - -def get_word_dict(): - """ - Sorted the words by the frequency of words which occur in sample - :return: - words_freq_sorted - """ - words_freq_sorted = list() - word_freq_dict = collections.defaultdict(int) - download_data_if_not_yet() - - for category in movie_reviews.categories(): - for field in movie_reviews.fileids(category): - for words in movie_reviews.words(field): - word_freq_dict[words] += 1 - words_sort_list = list(six.iteritems(word_freq_dict)) - words_sort_list.sort(key=cmp_to_key(lambda a, b: b[1] - a[1])) - for index, word in enumerate(words_sort_list): - words_freq_sorted.append((word[0], index)) - return words_freq_sorted - - -def sort_files(): - """ - Sorted the sample for cross reading the sample - :return: - files_list - """ - files_list = list() - neg_file_list = movie_reviews.fileids('neg') - pos_file_list = movie_reviews.fileids('pos') - files_list = list( - chain.from_iterable(list(zip(neg_file_list, pos_file_list)))) - return files_list - - -def load_sentiment_data(): - """ - Load the data set - :return: - data_set - """ - data_set = list() - download_data_if_not_yet() - words_ids = dict(get_word_dict()) - for sample_file in sort_files(): - words_list = list() - category = 0 if 'neg' in sample_file else 1 - for word in movie_reviews.words(sample_file): - words_list.append(words_ids[word.lower()]) - data_set.append((words_list, category)) - return data_set - - -def reader_creator(data): - """ - Reader creator, generate an iterator for data set - :param data: - train data set or test data set - """ - for each in data: - yield each[0], each[1] - - -def train(): - """ - Default training set reader creator - """ - data_set = load_sentiment_data() - return reader_creator(data_set[0:NUM_TRAINING_INSTANCES]) - - -def test(): - """ - Default test set reader creator - """ - data_set = load_sentiment_data() - return reader_creator(data_set[NUM_TRAINING_INSTANCES:]) - - -def fetch(): - nltk.download('movie_reviews', download_dir=paddle.dataset.common.DATA_HOME) diff --git a/python/paddle/dataset/tests/test_sentiment.py b/python/paddle/dataset/tests/test_sentiment.py deleted file mode 100644 index 3540ea06b075ed9b649af803c5a655a1e737723b..0000000000000000000000000000000000000000 --- a/python/paddle/dataset/tests/test_sentiment.py +++ /dev/null @@ -1,58 +0,0 @@ -# /usr/bin/env python -# -*- coding:utf-8 -*- - -# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from __future__ import print_function - -import unittest -import nltk -import paddle.dataset.sentiment as st -from nltk.corpus import movie_reviews - - -class TestSentimentMethods(unittest.TestCase): - def test_get_word_dict(self): - word_dict = st.get_word_dict()[0:10] - test_word_list = [(',', 0), ('the', 1), ('.', 2), ('a', 3), ('and', 4), - ('of', 5), ('to', 6), ("'", 7), ('is', 8), ('in', 9)] - for idx, each in enumerate(word_dict): - self.assertEqual(each, test_word_list[idx]) - self.assertTrue("/root/.cache/paddle/dataset" in nltk.data.path) - - def test_sort_files(self): - last_label = '' - for sample_file in st.sort_files(): - current_label = sample_file.split("/")[0] - self.assertNotEqual(current_label, last_label) - last_label = current_label - - def test_data_set(self): - data_set = st.load_sentiment_data() - last_label = -1 - - for each in st.test(): - self.assertNotEqual(each[1], last_label) - last_label = each[1] - - self.assertEqual(len(data_set), st.NUM_TOTAL_INSTANCES) - self.assertEqual(len(list(st.train())), st.NUM_TRAINING_INSTANCES) - self.assertEqual( - len(list(st.test())), - (st.NUM_TOTAL_INSTANCES - st.NUM_TRAINING_INSTANCES)) - - -if __name__ == '__main__': - unittest.main() diff --git a/python/paddle/device.py b/python/paddle/device.py index de24fd875130e84d6532d033761f68a5c77a68c2..46d0ff7bedcecfefc7d054b0ccbcbf100c2fa0f6 100644 --- a/python/paddle/device.py +++ b/python/paddle/device.py @@ -22,7 +22,9 @@ from paddle.fluid.dygraph.parallel import ParallelEnv __all__ = [ 'get_cudnn_version', 'set_device', - 'get_device' + 'get_device', + 'XPUPlace', + 'is_compiled_with_xpu' # 'cpu_places', # 'CPUPlace', # 'cuda_pinned_places', @@ -35,6 +37,37 @@ __all__ = [ _cudnn_version = None +def is_compiled_with_xpu(): + """ + Whether paddle was built with WITH_XPU=ON to support Baidu Kunlun + + Returns (bool): whether paddle was built with WITH_XPU=ON + + Examples: + .. code-block:: python + + import paddle + support_xpu = paddle.device.is_compiled_with_xpu() + """ + return core.is_compiled_with_xpu() + + +def XPUPlace(dev_id): + """ + Return a Baidu Kunlun Place + + Parameters: + dev_id(int): Baidu Kunlun device id + + Examples: + .. code-block:: python + + import paddle + place = paddle.device.XPUPlace(0) + """ + return core.XPUPlace(dev_id) + + def get_cudnn_version(): """ This funciton return the version of cudnn. the retuen value is int which represents the diff --git a/python/paddle/distributed/fleet/__init__.py b/python/paddle/distributed/fleet/__init__.py index f3ee09a6d9ec1b22171253a920b26bbf98afd36e..e89cb1f5ec497133985ef8069e77e864cef47f52 100644 --- a/python/paddle/distributed/fleet/__init__.py +++ b/python/paddle/distributed/fleet/__init__.py @@ -13,7 +13,7 @@ # limitations under the License. # TODO: define distributed api under this directory, -from .base.role_maker import UserDefinedRoleMaker, PaddleCloudRoleMaker +from .base.role_maker import Role, UserDefinedRoleMaker, PaddleCloudRoleMaker from .base.distributed_strategy import DistributedStrategy from .base.fleet_base import Fleet from .base.util_factory import UtilBase @@ -26,6 +26,7 @@ __all__ = [ "UserDefinedRoleMaker", "PaddleCloudRoleMaker", "Fleet", + "Role", ] fleet = Fleet() @@ -39,8 +40,7 @@ server_num = fleet.server_num server_index = fleet.server_index server_endpoints = fleet.server_endpoints is_server = fleet.is_server -set_util = fleet.set_util -util = fleet.util +util = UtilBase() barrier_worker = fleet.barrier_worker init_worker = fleet.init_worker init_server = fleet.init_server diff --git a/python/paddle/distributed/fleet/base/distributed_strategy.py b/python/paddle/distributed/fleet/base/distributed_strategy.py index f1c836468daf36db753c67a3e09757be728d37a7..316b6494e347ff0352e7faf0b607425c8cdd3b50 100755 --- a/python/paddle/distributed/fleet/base/distributed_strategy.py +++ b/python/paddle/distributed/fleet/base/distributed_strategy.py @@ -845,6 +845,29 @@ class DistributedStrategy(object): check_configs_key(self.strategy.dgc_configs, configs, "dgc_configs") assign_configs_value(self.strategy.dgc_configs, configs) + @property + def fp16_allreduce(self): + """ + Indicating whether we are using fp16 gradient allreduce training + Default Value: False + + Examples: + .. code-block:: python + + import paddle.distributed.fleet as fleet + strategy = fleet.DistributedStrategy() + strategy.fp16_allreduce = True # by default this is false + + """ + return self.strategy.fp16_allreduce + + @fp16_allreduce.setter + @is_strict_auto + def fp16_allreduce(self, flag): + if not isinstance(flag, bool): + raise TypeError('fp16_allreduce must be value of bool type') + self.strategy.fp16_allreduce = flag + @property def gradient_merge(self): """ diff --git a/python/paddle/distributed/fleet/base/fleet_base.py b/python/paddle/distributed/fleet/base/fleet_base.py index 575e5720d7765cc52b7e52dce3b44a3d6350f208..778113718a6edef5992ec95eaf0498e49c39d8fe 100644 --- a/python/paddle/distributed/fleet/base/fleet_base.py +++ b/python/paddle/distributed/fleet/base/fleet_base.py @@ -23,7 +23,6 @@ from .strategy_compiler import StrategyCompiler from .distributed_strategy import DistributedStrategy from .meta_optimizer_factory import MetaOptimizerFactory from .runtime_factory import RuntimeFactory -from .util_factory import UtilFactory from paddle.fluid.wrapped_decorator import wrap_decorator from paddle.fluid.dygraph import parallel_helper @@ -120,7 +119,6 @@ class Fleet(object): self.strategy_compiler = None self._is_collective = False self._runtime_handle = None - self._util = None def init(self, role_maker=None, is_collective=False): """ @@ -182,6 +180,9 @@ class Fleet(object): format(type(role_maker))) self._role_maker._generate_role() + import paddle.distributed.fleet as fleet + fleet.util._set_role_maker(self._role_maker) + self.strategy_compiler = StrategyCompiler() if paddle.fluid.framework.in_dygraph_mode(): if parallel_helper._is_parallel_ctx_initialized(): @@ -353,29 +354,6 @@ class Fleet(object): return self._role_maker._is_server( ) or self._role_maker._is_heter_worker() - def set_util(self, util): - self._util = util - - def util(self): - """ - Utility functions that can be used under certain runtime - return util - - Returns: - UtilBase: instance of UtilBase, can use distributed ops/tools easily. - - Examples: - - .. code-block:: python - import paddle.distributed.fleet as fleet - fleet.init() - util = fleet.util - files = ["1.log", "2.log", "3.log", "4.log"] - files = util.get_file_shard() - - """ - return self._util - def barrier_worker(self): """ barrier all workers @@ -1103,7 +1081,7 @@ class Fleet(object): if self._runtime_handle is None: self._runtime_handle = RuntimeFactory()._create_runtime(context) - if self._util is None: - self._util = UtilFactory()._create_util(context) + import paddle.distributed.fleet as fleet + fleet.util._set_strategy(context["valid_strategy"]) return optimize_ops, params_grads diff --git a/python/paddle/distributed/fleet/base/role_maker.py b/python/paddle/distributed/fleet/base/role_maker.py index f66f013e4dbaadd534d6859b7ba6530779c82a3b..36da7264efe2e489aadbffde56b4260418f91fb2 100644 --- a/python/paddle/distributed/fleet/base/role_maker.py +++ b/python/paddle/distributed/fleet/base/role_maker.py @@ -495,7 +495,7 @@ class RoleMakerBase(object): Returns: string: all heter_trainers'endpoints """ - assert self._heter_trainer_endpoints != [] + assert self._heter_trainer_endpoints != [], "Heter Worker Endpoints Not initialized" return self._heter_trainer_endpoints def _get_heter_worker_endpoint(self): @@ -505,10 +505,10 @@ class RoleMakerBase(object): e.g: if we have 4 cpu-trainer(default), 2 gpu-trainer(heter) then No.0 and No.2 cpu-trainer will work with No.0 gpu-trainer - and No.1 and No.3 cpu-trainer will work with No.1 gpu-trainerr + and No.1 and No.3 cpu-trainer will work with No.1 gpu-trainer """ - assert self._heter_trainer_endpoints != [] - return self._heter_trainer_endpoints[(self._current_id + 1) % + assert self._heter_trainer_endpoints != [], "Heter Worker Endpoints Not initialized" + return self._heter_trainer_endpoints[(self._current_id) % self._heter_worker_num()] def _get_heter_worker_device(self): diff --git a/python/paddle/distributed/fleet/base/util_factory.py b/python/paddle/distributed/fleet/base/util_factory.py index efaa854c0879ddb57c7746cede68047ff82931a0..bbb7d60ed9c79f4caae5a0eb7427679bc5c7848e 100644 --- a/python/paddle/distributed/fleet/base/util_factory.py +++ b/python/paddle/distributed/fleet/base/util_factory.py @@ -73,11 +73,13 @@ class UtilBase(object): .. code-block:: python # Save the following code in `train.py` , and then execute the command `fleetrun --server_num 2 --worker_num 2 train.py` . - from paddle.distributed.fleet.base.util_factory import fleet_util import paddle.distributed.fleet as fleet from paddle.distributed.fleet import PaddleCloudRoleMaker import sys import numpy as np + import os + + os.environ["PADDLE_WITH_GLOO"] = "2" def train(): role = PaddleCloudRoleMaker( @@ -85,19 +87,18 @@ class UtilBase(object): init_gloo=True, path="./tmp_gloo") fleet.init(role) - fleet_util._set_role_maker(role) if fleet.is_server(): input = [1, 2] - output = fleet_util.all_reduce(input, "sum", "server") + output = fleet.util.all_reduce(input, "sum", "server") print(output) # [2, 4] elif fleet.is_worker(): input = np.array([3, 4]) - output = fleet_util.all_reduce(input, "sum", "worker") + output = fleet.util.all_reduce(input, "sum", "worker") print(output) # [6, 8] - output = fleet_util.all_reduce(input, "sum", "all") + output = fleet.util.all_reduce(input, "sum", "all") print(output) # [8, 12] if __name__ == "__main__": @@ -117,10 +118,12 @@ class UtilBase(object): .. code-block:: python # Save the following code in `train.py` , and then execute the command `fleetrun --server_num 2 --worker_num 2 train.py` . - from paddle.distributed.fleet.base.util_factory import fleet_util import paddle.distributed.fleet as fleet from paddle.distributed.fleet import PaddleCloudRoleMaker import sys + import os + + os.environ["PADDLE_WITH_GLOO"] = "2" def train(): role = PaddleCloudRoleMaker( @@ -128,15 +131,14 @@ class UtilBase(object): init_gloo=True, path="./tmp_gloo") fleet.init(role) - fleet_util._set_role_maker(role) if fleet.is_server(): - fleet_util.barrier("server") + fleet.util.barrier("server") print("all server arrive here") elif fleet.is_worker(): - fleet_util.barrier("worker") + fleet.util.barrier("worker") print("all server arrive here") - fleet_util.barrier("all") + fleet.util.barrier("all") print("all servers and workers arrive here") if __name__ == "__main__": @@ -160,10 +162,12 @@ class UtilBase(object): .. code-block:: python # Save the following code in `train.py` , and then execute the command `fleetrun --server_num 2 --worker_num 2 train.py` . - from paddle.distributed.fleet.base.util_factory import fleet_util import paddle.distributed.fleet as fleet from paddle.distributed.fleet import PaddleCloudRoleMaker import sys + import os + + os.environ["PADDLE_WITH_GLOO"] = "2" def train(): role = PaddleCloudRoleMaker( @@ -171,19 +175,18 @@ class UtilBase(object): init_gloo=True, path="./tmp_gloo") fleet.init(role) - fleet_util._set_role_maker(role) if fleet.is_server(): input = fleet.server_index() - output = fleet_util.all_gather(input, "server") + output = fleet.util.all_gather(input, "server") print(output) # output = [0, 1] elif fleet.is_worker(): input = fleet.worker_index() - output = fleet_util.all_gather(input, "worker") + output = fleet.util.all_gather(input, "worker") # output = [0, 1] print(output) - output = fleet_util.all_gather(input, "all") + output = fleet.util.all_gather(input, "all") print(output) # output = [0, 1, 0, 1] @@ -220,18 +223,20 @@ class UtilBase(object): .. code-block:: python - from paddle.distributed.fleet.base.util_factory import fleet_util - import paddle.distributed.fleet.base.role_maker as role_maker + import paddle.distributed.fleet as fleet + from paddle.distributed.fleet import UserDefinedRoleMaker - role = role_maker.UserDefinedRoleMaker( + role = UserDefinedRoleMaker( is_collective=False, init_gloo=False, current_id=0, - role=role_maker.Role.WORKER, + role=fleet.Role.WORKER, worker_endpoints=["127.0.0.1:6003", "127.0.0.1:6004"], server_endpoints=["127.0.0.1:6001", "127.0.0.1:6002"]) - fleet_util._set_role_maker(role) - files = fleet_util.get_file_shard(["file1", "file2", "file3"]) + fleet.init(role) + + files = fleet.util.get_file_shard(["file1", "file2", "file3"]) + print(files) # files = ["file1", "file2"] """ if not isinstance(files, list): @@ -267,18 +272,19 @@ class UtilBase(object): .. code-block:: python - from paddle.distributed.fleet.base.util_factory import fleet_util - import paddle.distributed.fleet.base.role_maker as role_maker + import paddle.distributed.fleet as fleet + from paddle.distributed.fleet import UserDefinedRoleMaker - role = role_maker.UserDefinedRoleMaker( + role = UserDefinedRoleMaker( is_collective=False, init_gloo=False, current_id=0, - role=role_maker.Role.WORKER, + role=fleet.Role.WORKER, worker_endpoints=["127.0.0.1:6003", "127.0.0.1:6004"], server_endpoints=["127.0.0.1:6001", "127.0.0.1:6002"]) - fleet_util._set_role_maker(role) - fleet_util.print_on_rank("I'm worker 0", 0) + fleet.init(role) + + fleet.util.print_on_rank("I'm worker 0", 0) """ if self.role_maker._worker_index() != rank_id: return @@ -577,6 +583,3 @@ class UtilBase(object): print("fetch_targets name: %s" % v.name) print("fetch_targets: {}".format(results[i])) return results - - -fleet_util = UtilFactory()._create_util(None) diff --git a/python/paddle/distributed/fleet/launch.py b/python/paddle/distributed/fleet/launch.py index d63c9f9184c0eb9aafec73df09b225d598f3413f..c589e4f26a04ca8478e762c424dfa795b94f1173 100644 --- a/python/paddle/distributed/fleet/launch.py +++ b/python/paddle/distributed/fleet/launch.py @@ -181,8 +181,8 @@ def get_gpus(gpus): cuda_visible_devices_list = cuda_visible_devices.split(',') for x in gpus.split(','): assert x in cuda_visible_devices_list, "Can't find "\ - "your gpus %s in CUDA_VISIBLE_DEVICES[%s]."\ - % (x, cuda_visible_devices) + "your gpus %s in CUDA_VISIBLE_DEVICES[%s]."\ + % (x, cuda_visible_devices) res_gpus = [ cuda_visible_devices_list.index(x.strip()) for x in gpus.split(',') @@ -348,8 +348,7 @@ def launch_ps(args): "PADDLE_PORT": cur_server.endpoint.split(":")[1], "TRAINING_ROLE": "PSERVER", "PADDLE_TRAINERS_NUM": str(worker_num), - "POD_IP": cur_server.endpoint.split(":")[0], - "PADDLE_WITH_GLOO": "1" + "POD_IP": cur_server.endpoint.split(":")[0] } current_env.update(proc_env) @@ -388,8 +387,7 @@ def launch_ps(args): "PADDLE_TRAINER_ENDPOINTS": worker_endpoints, "PADDLE_TRAINERS_NUM": str(worker_num), "TRAINING_ROLE": "TRAINER", - "PADDLE_TRAINER_ID": str(cur_worker.rank), - "PADDLE_WITH_GLOO": "1" + "PADDLE_TRAINER_ID": str(cur_worker.rank) } current_env.update(proc_env) diff --git a/python/paddle/distributed/fleet/meta_optimizers/__init__.py b/python/paddle/distributed/fleet/meta_optimizers/__init__.py index a3a2dee70387d69b9e8e09cd86d69a76890d7a1f..2e63e82e630cc58cae4405986f1ebf770a5dc9f3 100644 --- a/python/paddle/distributed/fleet/meta_optimizers/__init__.py +++ b/python/paddle/distributed/fleet/meta_optimizers/__init__.py @@ -23,3 +23,4 @@ from .lars_optimizer import LarsOptimizer from .parameter_server_graph_optimizer import ParameterServerGraphOptimizer from .dgc_optimizer import DGCOptimizer from .lamb_optimizer import LambOptimizer +from .fp16_allreduce_optimizer import FP16AllReduceOptimizer diff --git a/python/paddle/distributed/fleet/meta_optimizers/fp16_allreduce_optimizer.py b/python/paddle/distributed/fleet/meta_optimizers/fp16_allreduce_optimizer.py new file mode 100755 index 0000000000000000000000000000000000000000..411980ed01322ac56813efcd0684bb12e9c8761b --- /dev/null +++ b/python/paddle/distributed/fleet/meta_optimizers/fp16_allreduce_optimizer.py @@ -0,0 +1,146 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and + +from paddle.fluid import core, framework, unique_name +from .meta_optimizer_base import MetaOptimizerBase + + +class FP16AllReduceOptimizer(MetaOptimizerBase): + def __init__(self, optimizer): + super(FP16AllReduceOptimizer, self).__init__(optimizer) + self.inner_opt = optimizer + # we do not allow meta optimizer to be inner optimizer currently + self.meta_optimizers_white_list = [ + "LarsOptimizer", + "LambOptimizer", + "RecomputeOptimizer", + "LocalSGDOptimizer", + "GradientMergeOptimizer", + "GraphExecutionOptimizer", + "AdaptiveLocalSGDOptimizer", + ] + self.meta_optimizers_black_list = ["DGCOptimizer"] + + def _set_basic_info(self, loss, role_maker, user_defined_optimizer, + user_defined_strategy): + super(FP16AllReduceOptimizer, self)._set_basic_info( + loss, role_maker, user_defined_optimizer, user_defined_strategy) + + def _can_apply(self): + if not self.role_maker._is_collective: + return False + + if self.user_defined_strategy.fp16_allreduce: + return True + + return False + + def _disable_strategy(self, dist_strategy): + dist_strategy.fp16_allreduce = False + + def _enable_strategy(self, dist_strategy, context=None): + dist_strategy.fp16_allreduce = True + + @staticmethod + def fp16_compression(param_and_grads): + """ + Compress fp32 gradients to fp16 during allreduce. + """ + op_maker = core.op_proto_and_checker_maker + + new_param_and_grads = [] # param, grad, is_cast + # cast grad from fp32->fp16 before allreduce, + for param, grad in param_and_grads: + if grad is None or grad.dtype != core.VarDesc.VarType.FP32: + new_param_and_grads.append((param, grad, False)) + continue + + op = grad.op + block = grad.block + var_attr = op.all_attrs()[op_maker.kOpRoleVarAttrName()] + if param.name not in var_attr: + new_param_and_grads.append((param, grad, False)) + continue + + # remove (param, grad) from op_role_var + var_attr.remove(param.name) + var_attr.remove(grad.name) + if len(var_attr) > 1: + op._set_attr(op_maker.kOpRoleVarAttrName(), var_attr) + else: + op._remove_attr(op_maker.kOpRoleVarAttrName()) + + new_grad = block.create_var( + name=unique_name.generate(grad.name + ".cast_fp16"), + dtype=core.VarDesc.VarType.FP16, + persistable=False, + stop_gradient=True) + + with block.program._backward_role_guard(): + cast_op = block.append_op( + type="cast", + inputs={"X": grad}, + outputs={"Out": new_grad}, + attrs={ + "in_dtype": core.VarDesc.VarType.FP32, + "out_dtype": core.VarDesc.VarType.FP16 + }, + stop_gradient=True) + + backward = op_maker.OpRole.Backward + cast_op._set_attr(op_maker.kOpRoleAttrName(), backward) + cast_op._set_attr(op_maker.kOpRoleVarAttrName(), + [param.name, new_grad.name]) + new_grad.op = cast_op + + new_param_and_grads.append((param, new_grad, True)) + + ret_param_and_grads = [] + # cast grad from fp16->fp32 after allreduce. + # NOTE. Now we split fp16 compression into two for loops, + # if we do not separate them, fuse allreduce will wrong. + # This must be the problem of fuse allreduce pass, need + # fixed in future. + for param, grad, cast in new_param_and_grads: + if not cast: + ret_param_and_grads.append((param, grad)) + continue + + block = grad.block + new_grad = block.create_var( + name=unique_name.generate(grad.name + ".cast_fp32"), + dtype=core.VarDesc.VarType.FP32, + persistable=False, + stop_gradient=True) + + with block.program._optimized_guard( + [param, grad]), framework.name_scope('fp16_allreduce'): + cast_op = block.append_op( + type="cast", + inputs={"X": grad}, + outputs={"Out": new_grad}, + attrs={ + "in_dtype": core.VarDesc.VarType.FP16, + "out_dtype": core.VarDesc.VarType.FP32 + }, + stop_gradient=True) + ret_param_and_grads.append((param, new_grad)) + + return ret_param_and_grads + + def apply_optimize(self, loss, startup_program, params_grads): + new_params_grads = self.fp16_compression(params_grads) + return self.inner_opt.apply_optimize( + loss, + startup_program=startup_program, + params_grads=new_params_grads) diff --git a/python/paddle/distributed/fleet/runtime/parameter_server_runtime.py b/python/paddle/distributed/fleet/runtime/parameter_server_runtime.py index 3f1fc518fe6384842727c719fcf3f1d7e9a044ea..b12ee55e6c61d641dc0fd5f19c9dc6c406cbd2df 100644 --- a/python/paddle/distributed/fleet/runtime/parameter_server_runtime.py +++ b/python/paddle/distributed/fleet/runtime/parameter_server_runtime.py @@ -23,6 +23,7 @@ from paddle.fluid.executor import Executor from paddle.fluid.parallel_executor import ParallelExecutor from .runtime_base import RuntimeBase +from ..base.private_helper_function import wait_server_ready class ParameterServerRuntime(RuntimeBase): @@ -94,8 +95,8 @@ class ParameterServerRuntime(RuntimeBase): return False if var.desc.type() == core.VarDesc.VarType.FEED_MINIBATCH or \ - var.desc.type() == core.VarDesc.VarType.FETCH_LIST or \ - var.desc.type() == core.VarDesc.VarType.READER: + var.desc.type() == core.VarDesc.VarType.FETCH_LIST or \ + var.desc.type() == core.VarDesc.VarType.READER: return False return var.persistable @@ -161,6 +162,17 @@ class ParameterServerRuntime(RuntimeBase): trainer_config = self.async_strategy.get_trainer_runtime_config() + dist_strategy = self.context["valid_strategy"] + launch_barrier = dist_strategy.a_sync_configs["launch_barrier"] + if launch_barrier: + # for trainer wait server ready + wait_server_ready(self.role_maker._get_pserver_endpoints()) + + # for ps-heter mode, wait heter worker ready + if self.role_maker._is_heter_parameter_server_mode and self.role_maker._is_worker( + ): + wait_server_ready(self.role_maker._get_heter_worker_endpoints()) + lrs = _has_global_step(_get_lr_ops(self.origin_main_program)) if lrs: @@ -312,7 +324,7 @@ class ParameterServerRuntime(RuntimeBase): opts = _get_optimize_ops(self.origin_main_program) for op in opts: if "Param" in op.input_names and \ - "LearningRate" in op.input_names and op.input("Param")[0] == param_name: + "LearningRate" in op.input_names and op.input("Param")[0] == param_name: return op def _save_dense_params(self, executor, dirname, context, main_program): diff --git a/python/paddle/distributed/fleet/utils/__init__.py b/python/paddle/distributed/fleet/utils/__init__.py index abf198b97e6e818e1fbe59006f98492640bcee54..a45e1682c3fad46ce62274ae14577cb7fd6b89b8 100644 --- a/python/paddle/distributed/fleet/utils/__init__.py +++ b/python/paddle/distributed/fleet/utils/__init__.py @@ -11,3 +11,5 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. + +from .fs import LocalFS, HDFSClient diff --git a/python/paddle/distributed/fleet/utils/fs.py b/python/paddle/distributed/fleet/utils/fs.py index b7c50bda3eae0a004bd3d0169fc62260393b28b8..8d4f24fb116cccacbc88aa73ffbaeb559e1fdc06 100644 --- a/python/paddle/distributed/fleet/utils/fs.py +++ b/python/paddle/distributed/fleet/utils/fs.py @@ -120,7 +120,7 @@ class LocalFS(FS): Examples: .. code-block:: python - from paddle.distributed.fleet.utils.fs import LocalFS + from paddle.distributed.fleet.utils import LocalFS client = LocalFS() subdirs, files = client.ls_dir("./") @@ -140,7 +140,7 @@ class LocalFS(FS): Examples: .. code-block:: python - from paddle.distributed.fleet.utils.fs import LocalFS + from paddle.distributed.fleet.utils import LocalFS client = LocalFS() subdirs, files = client.ls_dir("./") @@ -160,7 +160,7 @@ class LocalFS(FS): def mkdirs(self, fs_path): """ - Create a remote HDFS directory. + Create a local directory. Args: fs_path(str): The local directory path. @@ -168,7 +168,7 @@ class LocalFS(FS): Examples: .. code-block:: python - from paddle.distributed.fleet.utils.fs import LocalFS + from paddle.distributed.fleet.utils import LocalFS client = LocalFS() client.mkdirs("test_mkdirs") @@ -189,7 +189,7 @@ class LocalFS(FS): Examples: .. code-block:: python - from paddle.distributed.fleet.utils.fs import LocalFS + from paddle.distributed.fleet.utils import LocalFS client = LocalFS() client.touch("test_rename_src") @@ -217,7 +217,7 @@ class LocalFS(FS): Examples: .. code-block:: python - from paddle.distributed.fleet.utils.fs import LocalFS + from paddle.distributed.fleet.utils import LocalFS client = LocalFS() client.mkdirs("test_localFS_mkdirs") @@ -247,7 +247,7 @@ class LocalFS(FS): Examples: .. code-block:: python - from paddle.distributed.fleet.utils.fs import LocalFS + from paddle.distributed.fleet.utils import LocalFS client = LocalFS() client.touch("test_is_file") @@ -269,7 +269,7 @@ class LocalFS(FS): Examples: .. code-block:: python - from paddle.distributed.fleet.utils.fs import LocalFS + from paddle.distributed.fleet.utils import LocalFS client = LocalFS() client.mkdirs("test_is_dir") @@ -292,7 +292,7 @@ class LocalFS(FS): Examples: .. code-block:: python - from paddle.distributed.fleet.utils.fs import LocalFS + from paddle.distributed.fleet.utils import LocalFS client = LocalFS() ret = local_fs.is_exist("test_is_exist") @@ -311,7 +311,7 @@ class LocalFS(FS): Examples: .. code-block:: python - from paddle.distributed.fleet.utils.fs import LocalFS + from paddle.distributed.fleet.utils import LocalFS client = LocalFS() client.touch("test_touch") @@ -332,13 +332,11 @@ class LocalFS(FS): src_path(str): Name of the file or directory, that's needed to be moved. dst_path(str): Name of the file or directory to which to move to. overwrite(bool): Whether to re-write `dst_path` if that exists. Default is False. - test_exists(bool): Check the existence of `src_path` and `dst_path` . - When `test_exists` is set true, if `src_path` doesn't exist or `dst_path` exists, program will throw an Excetption. Examples: .. code-block:: python - from paddle.distributed.fleet.utils.fs import LocalFS + from paddle.distributed.fleet.utils import LocalFS client = LocalFS() client.touch("test_mv_src") @@ -369,7 +367,7 @@ class LocalFS(FS): Examples: .. code-block:: python - from paddle.distributed.fleet.utils.fs import LocalFS + from paddle.distributed.fleet.utils import LocalFS client = LocalFS() subdirs = client.list_dirs("./") @@ -432,7 +430,7 @@ class HDFSClient(FS): .. code-block:: text - from paddle.distributed.fleet.utils.fs import HDFSClient + from paddle.distributed.fleet.utils import HDFSClient hadoop_home = "/home/client/hadoop-client/hadoop/" configs = { @@ -493,7 +491,7 @@ class HDFSClient(FS): .. code-block:: text - from paddle.distributed.fleet.utils.fs import HDFSClient + from paddle.distributed.fleet.utils import HDFSClient hadoop_home = "/home/client/hadoop-client/hadoop/" configs = { @@ -526,7 +524,7 @@ class HDFSClient(FS): .. code-block:: text - from paddle.distributed.fleet.utils.fs import HDFSClient + from paddle.distributed.fleet.utils import HDFSClient hadoop_home = "/home/client/hadoop-client/hadoop/" configs = { @@ -587,7 +585,7 @@ class HDFSClient(FS): .. code-block:: text - from paddle.distributed.fleet.utils.fs import HDFSClient + from paddle.distributed.fleet.utils import HDFSClient hadoop_home = "/home/client/hadoop-client/hadoop/" configs = { @@ -629,7 +627,7 @@ class HDFSClient(FS): .. code-block:: text - from paddle.distributed.fleet.utils.fs import HDFSClient + from paddle.distributed.fleet.utils import HDFSClient hadoop_home = "/home/client/hadoop-client/hadoop/" configs = { @@ -661,7 +659,7 @@ class HDFSClient(FS): .. code-block:: text - from paddle.distributed.fleet.utils.fs import HDFSClient + from paddle.distributed.fleet.utils import HDFSClient hadoop_home = "/home/client/hadoop-client/hadoop/" configs = { @@ -695,7 +693,7 @@ class HDFSClient(FS): .. code-block:: text - from paddle.distributed.fleet.utils.fs import HDFSClient + from paddle.distributed.fleet.utils import HDFSClient hadoop_home = "/home/client/hadoop-client/hadoop/" configs = { @@ -740,7 +738,7 @@ class HDFSClient(FS): .. code-block:: text - from paddle.distributed.fleet.utils.fs import HDFSClient + from paddle.distributed.fleet.utils import HDFSClient hadoop_home = "/home/client/hadoop-client/hadoop/" configs = { @@ -784,7 +782,7 @@ class HDFSClient(FS): .. code-block:: text - from paddle.distributed.fleet.utils.fs import HDFSClient + from paddle.distributed.fleet.utils import HDFSClient hadoop_home = "/home/client/hadoop-client/hadoop/" configs = { @@ -830,7 +828,7 @@ class HDFSClient(FS): .. code-block:: text - from paddle.distributed.fleet.utils.fs import HDFSClient + from paddle.distributed.fleet.utils import HDFSClient hadoop_home = "/home/client/hadoop-client/hadoop/" configs = { @@ -893,7 +891,7 @@ class HDFSClient(FS): .. code-block:: text - from paddle.distributed.fleet.utils.fs import HDFSClient + from paddle.distributed.fleet.utils import HDFSClient hadoop_home = "/home/client/hadoop-client/hadoop/" configs = { @@ -919,12 +917,14 @@ class HDFSClient(FS): Args: fs_path(str): The HDFS file path. + exist_ok(bool): When `fs_path` exists, if `exist_ok` is set false, + program will throw an Exception. Default is true. Examples: .. code-block:: text - from paddle.distributed.fleet.utils.fs import HDFSClient + from paddle.distributed.fleet.utils import HDFSClient hadoop_home = "/home/client/hadoop-client/hadoop/" configs = { diff --git a/python/paddle/fluid/clip.py b/python/paddle/fluid/clip.py index 7b301ac19d1d3dc1f4aabb6cf3af2f0874faa677..04e4906868e856b84bbc13ee60ca6a0b231cfad3 100644 --- a/python/paddle/fluid/clip.py +++ b/python/paddle/fluid/clip.py @@ -590,7 +590,7 @@ class GradientClipByGlobalNorm(GradientClipBase): global_norm_var = layers.reduce_sum(global_norm_var) global_norm_var = layers.sqrt(global_norm_var) max_global_norm = layers.fill_constant( - shape=[1], dtype='float32', value=self.clip_norm) + shape=[1], dtype=global_norm_var.dtype, value=self.clip_norm) clip_var = layers.elementwise_div( x=max_global_norm, y=layers.elementwise_max( @@ -635,7 +635,9 @@ class GradientClipByGlobalNorm(GradientClipBase): global_norm_var = layers.sums(sum_square_list) global_norm_var = layers.sqrt(x=global_norm_var) max_global_norm = layers.fill_constant( - shape=[1], dtype="float32", value=self.clip_norm) + shape=[1], + dtype=global_norm_var.dtype, + value=self.clip_norm) scale_var = layers.elementwise_div( x=max_global_norm, y=layers.elementwise_max( @@ -663,7 +665,7 @@ class GradientClipByGlobalNorm(GradientClipBase): context[self.group_name] = [] context[self.group_name + "_clip_value"] = self.clip_norm context[self.group_name + "_clip"] = layers.fill_constant( - shape=[1], dtype="float32", value=self.clip_norm) + shape=[1], dtype=grad.dtype, value=self.clip_norm) else: if not self.clip_norm == context[self.group_name + "_clip_value"]: raise ValueError( diff --git a/python/paddle/fluid/contrib/slim/tests/CMakeLists.txt b/python/paddle/fluid/contrib/slim/tests/CMakeLists.txt index 6ac005060e0b21d88f17619bbe88b7a56c23fdb8..dd4bea06572fb5fdec70047fc0df58d8287ad390 100644 --- a/python/paddle/fluid/contrib/slim/tests/CMakeLists.txt +++ b/python/paddle/fluid/contrib/slim/tests/CMakeLists.txt @@ -270,7 +270,7 @@ foreach(src ${TEST_OPS}) endforeach() # setting timeout value for old unittests -if(NOT WIN32 AND NOT APPLE) +if(NOT WIN32) set_tests_properties(test_post_training_quantization_mobilenetv1 PROPERTIES TIMEOUT 250 LABELS "RUN_TYPE=NIGHTLY") set_tests_properties(test_post_training_quantization_resnet50 PROPERTIES TIMEOUT 200 LABELS "RUN_TYPE=NIGHTLY") endif() diff --git a/python/paddle/fluid/contrib/tests/test_weight_decay_extend.py b/python/paddle/fluid/contrib/tests/test_weight_decay_extend.py index 906d83fff4fd61390a68133170cb1c43f6b74251..6000a44ceb65972ad5c31f328453bf346a3d3916 100644 --- a/python/paddle/fluid/contrib/tests/test_weight_decay_extend.py +++ b/python/paddle/fluid/contrib/tests/test_weight_decay_extend.py @@ -14,6 +14,7 @@ from __future__ import print_function +import six import unittest from functools import partial import numpy as np @@ -24,6 +25,24 @@ import contextlib paddle.enable_static() +def fake_imdb_reader(word_dict_size, + sample_num, + lower_seq_len=100, + upper_seq_len=200, + class_dim=2): + def __reader__(): + for _ in six.moves.range(sample_num): + length = np.random.random_integers( + low=lower_seq_len, high=upper_seq_len, size=[1])[0] + ids = np.random.random_integers( + low=0, high=word_dict_size - 1, size=[length]).astype('int64') + label = np.random.random_integers( + low=0, high=class_dim - 1, size=[1]).astype('int64')[0] + yield ids, label + + return __reader__ + + def get_places(): places = [fluid.CPUPlace()] if fluid.core.is_compiled_with_cuda(): @@ -68,10 +87,11 @@ def bow_net(data, class TestWeightDecay(unittest.TestCase): def setUp(self): - self.word_dict = paddle.dataset.imdb.word_dict() - reader = paddle.batch( - paddle.dataset.imdb.train(self.word_dict), batch_size=2)() - self.train_data = [next(reader) for _ in range(5)] + self.word_dict_len = 5147 + batch_size = 2 + reader = fake_imdb_reader(self.word_dict_len, batch_size * 100) + reader = paddle.batch(reader, batch_size=batch_size)() + self.train_data = [next(reader) for _ in range(3)] self.learning_rate = .5 def run_program(self, place, feed_list): @@ -103,7 +123,7 @@ class TestWeightDecay(unittest.TestCase): data = fluid.layers.data( name="words", shape=[1], dtype="int64", lod_level=1) label = fluid.layers.data(name="label", shape=[1], dtype="int64") - avg_cost = model(data, label, len(self.word_dict)) + avg_cost = model(data, label, self.word_dict_len) AdamW = fluid.contrib.extend_with_decoupled_weight_decay( fluid.optimizer.Adam) @@ -127,7 +147,7 @@ class TestWeightDecay(unittest.TestCase): name="words", shape=[1], dtype="int64", lod_level=1) label = fluid.layers.data(name="label", shape=[1], dtype="int64") - avg_cost = model(data, label, len(self.word_dict)) + avg_cost = model(data, label, self.word_dict_len) param_list = [(var, var * self.learning_rate) for var in main_prog.block(0).all_parameters()] diff --git a/python/paddle/fluid/data.py b/python/paddle/fluid/data.py index dc57e9f71ed3d0de1a374bdf719b32a083198b31..05ea66f54451ba08032bff4e7bc805bbffa15e73 100644 --- a/python/paddle/fluid/data.py +++ b/python/paddle/fluid/data.py @@ -19,10 +19,12 @@ from paddle.fluid import core from paddle.fluid.layer_helper import LayerHelper from paddle.fluid.data_feeder import check_dtype, check_type from ..utils import deprecated +from paddle.fluid.framework import static_only __all__ = ['data'] +@static_only @deprecated(since="2.0.0", update_to="paddle.static.data") def data(name, shape, dtype='float32', lod_level=0): """ diff --git a/python/paddle/fluid/dygraph/base.py b/python/paddle/fluid/dygraph/base.py index 01c2f0fed496081400d363d9464360c69d924be8..69fb23383e5fc06da46d1791a056b6d8f4da8c52 100644 --- a/python/paddle/fluid/dygraph/base.py +++ b/python/paddle/fluid/dygraph/base.py @@ -363,7 +363,7 @@ def guard(place=None): with framework.program_guard(train, startup): with framework.unique_name.guard(): with framework._dygraph_guard(tracer): - with framework._dygraph_place_guard(place): + with framework._dygraph_place_guard(expected_place): yield diff --git a/python/paddle/fluid/dygraph/checkpoint.py b/python/paddle/fluid/dygraph/checkpoint.py index 93cb0bafc847b897816636f92255bd06b7e67321..f4ea4d670e6006c86cd9ca8a15723e5a62e5c0d9 100644 --- a/python/paddle/fluid/dygraph/checkpoint.py +++ b/python/paddle/fluid/dygraph/checkpoint.py @@ -145,7 +145,7 @@ def load_dygraph(model_path, config=None): .. note:: Due to some historical reasons, if you load ``state_dict`` from the saved - result of `paddle.io.save_inference_model`, the structured variable name + result of `paddle.static.save_inference_model`, the structured variable name will cannot be restored. You need to set the argument `use_structured_name=False` when using `Layer.set_state_dict` later. @@ -164,24 +164,24 @@ def load_dygraph(model_path, config=None): .. code-block:: python import paddle - + import paddle.fluid as fluid + paddle.disable_static() - emb = paddle.nn.Embedding([10, 10]) + emb = paddle.nn.Embedding(10, 10) state_dict = emb.state_dict() - paddle.save(state_dict, "paddle_dy") + fluid.save_dygraph(state_dict, "paddle_dy") - scheduler = paddle.optimizer.lr_scheduler.NoamLR( + scheduler = paddle.optimizer.lr_scheduler.NoamLR( d_model=0.01, warmup_steps=100, verbose=True) adam = paddle.optimizer.Adam( learning_rate=scheduler, parameters=emb.parameters()) state_dict = adam.state_dict() - paddle.save(state_dict, "paddle_dy") - - para_state_dict, opti_state_dict = paddle.load("paddle_dy") + fluid.save_dygraph(state_dict, "paddle_dy") + para_state_dict, opti_state_dict = fluid.load_dygraph("paddle_dy") ''' # deal with argument `model_path` model_prefix = model_path @@ -275,7 +275,7 @@ def load_dygraph(model_path, config=None): # If users save all parameters as one file, the [ variable.name -> variable ] # mapping info will lost, so users need to give variable list, but users build # variable list in dygraph mode is difficult, we recommend users to use - # paddle.io.load_program_state in this case + # paddle.static.load_program_state in this case # Try to load all the files in the directory in VarBase format, # the file name is used as the name of VarBase diff --git a/python/paddle/fluid/dygraph/dygraph_to_static/convert_call_func.py b/python/paddle/fluid/dygraph/dygraph_to_static/convert_call_func.py index c837c8eb123c2707d89a75a7489607f43a2e7501..908587c0d9c3112b14d6fe0efadcb673ecd49827 100644 --- a/python/paddle/fluid/dygraph/dygraph_to_static/convert_call_func.py +++ b/python/paddle/fluid/dygraph/dygraph_to_static/convert_call_func.py @@ -29,7 +29,7 @@ import six from paddle.fluid.dygraph.dygraph_to_static.convert_operators import convert_len from paddle.fluid.dygraph.dygraph_to_static.logging_utils import TranslatorLogger -from paddle.fluid.dygraph.dygraph_to_static.program_translator import StaticLayer +from paddle.fluid.dygraph.dygraph_to_static.program_translator import StaticFunction from paddle.fluid.dygraph.dygraph_to_static.program_translator import convert_to_static from paddle.fluid.dygraph.dygraph_to_static.program_translator import unwrap_decorators from paddle.fluid.dygraph.layers import Layer @@ -143,14 +143,14 @@ def convert_call(func): # def foo(x): # return x # - # `foo` will be converted into a wrapper class, suppose as `StaticLayer`. - # And `foo.__globals__['foo']` will still return this `StaticLayer` instead of - # `foo` function. So `isinstance(fn, StaticLayer)` is added here. + # `foo` will be converted into a wrapper class, suppose as `StaticFunction`. + # And `foo.__globals__['foo']` will still return this `StaticFunction` instead of + # `foo` function. So `isinstance(fn, StaticFunction)` is added here. global_functions = set() for fn in func.__globals__.values(): if inspect.isfunction(fn): global_functions.add(fn) - elif isinstance(fn, StaticLayer): + elif isinstance(fn, StaticFunction): _, fn = unwrap_decorators(fn) global_functions.add(fn) diff --git a/python/paddle/fluid/dygraph/dygraph_to_static/program_translator.py b/python/paddle/fluid/dygraph/dygraph_to_static/program_translator.py index 3b3b9bbe96f2929257d99b924af9770605b287f4..ddf44d805d1bfe126573ea76caae9d6bfe542bad 100644 --- a/python/paddle/fluid/dygraph/dygraph_to_static/program_translator.py +++ b/python/paddle/fluid/dygraph/dygraph_to_static/program_translator.py @@ -205,7 +205,7 @@ def unwrap_decorators(func): decorators = [] cur = func while True: - if isinstance(cur, StaticLayer): + if isinstance(cur, StaticFunction): decorators.append(cur) # Note: if `cur` is a method, keep it as bound method of class. instance = cur._class_instance @@ -218,7 +218,7 @@ def unwrap_decorators(func): return decorators, cur -class StaticLayer(object): +class StaticFunction(object): """ Wrapper class to Manage program conversion of decorated function. @@ -226,7 +226,7 @@ class StaticLayer(object): def __init__(self, function, input_spec=None): """ - Initializes a `StaticLayer`. + Initializes a `StaticFunction`. Args: function(callable): A function or method that will be converted into static program. @@ -268,12 +268,12 @@ class StaticLayer(object): In above case, `net(x, y)` will call `net.forward(x, y)` firstly that is a bound method of `Net` instance. After decorated by `@paddle.jit.to_static`, it will firstly to call `__get__` - to parse the class instance correctly instead of the `StaticLayer` instance. + to parse the class instance correctly instead of the `StaticFunction` instance. """ if instance not in self._descriptor_cache: if instance is None: return self - # Note(Aurelius84): To construct new instance of StaticLayer when we + # Note(Aurelius84): To construct new instance of StaticFunction when we # first encouter the bound function of layer and cache it. new_static_layer = self._clone() new_static_layer._class_instance = instance diff --git a/python/paddle/fluid/dygraph/jit.py b/python/paddle/fluid/dygraph/jit.py index 10819e4b320dd0630c7ac43fdf89b84252823a94..194ebafb08eefde4b08e503786f06c6dd06caa3b 100644 --- a/python/paddle/fluid/dygraph/jit.py +++ b/python/paddle/fluid/dygraph/jit.py @@ -28,7 +28,7 @@ from paddle.fluid.data_feeder import check_type from paddle.fluid.dygraph.base import program_desc_tracing_guard, switch_to_static_graph from paddle.fluid.dygraph.dygraph_to_static import logging_utils from paddle.fluid.dygraph.dygraph_to_static.logging_utils import set_code_level, set_verbosity -from paddle.fluid.dygraph.dygraph_to_static.program_translator import ProgramTranslator, StaticLayer, unwrap_decorators +from paddle.fluid.dygraph.dygraph_to_static.program_translator import ProgramTranslator, StaticFunction, unwrap_decorators from paddle.fluid.dygraph.io import EXTRA_VAR_INFO_FILENAME, VARIABLE_FILENAME, TranslatedLayer from paddle.fluid.dygraph.layers import Layer from paddle.fluid.executor import Executor, scope_guard @@ -141,7 +141,7 @@ def copy_decorator_attrs(original_func, decorated_obj): Args: original_func(callable): the original decorated function. - decorated_obj(StaticLayer): the target decorated StaticLayer object. + decorated_obj(StaticFunction): the target decorated StaticFunction object. """ decorator_name = "declarative" @@ -198,7 +198,7 @@ def declarative(function=None, input_spec=None): def decorated(python_func): """ - Decorates a python function into a StaticLayer object. + Decorates a python function into a StaticFunction object. """ # Step 1. unwrap the function if it is already decorated. _, python_func = unwrap_decorators(python_func) @@ -206,7 +206,7 @@ def declarative(function=None, input_spec=None): # Step 2. copy some attributes from original python function. static_layer = copy_decorator_attrs( original_func=python_func, - decorated_obj=StaticLayer( + decorated_obj=StaticFunction( function=python_func, input_spec=input_spec)) return static_layer @@ -214,7 +214,7 @@ def declarative(function=None, input_spec=None): # for usage: `declarative(foo, ...)` if function is not None: if isinstance(function, Layer): - if isinstance(function.forward, StaticLayer): + if isinstance(function.forward, StaticFunction): class_name = function.__class__.__name__ logging_utils.warn( "`{}.forward` has already been decorated somewhere. It will be redecorated to replace previous one.". @@ -231,9 +231,7 @@ def declarative(function=None, input_spec=None): class SaveLoadConfig(object): """ The additional configuration options may be used in function - :ref:`api_imperative_jit_save` that save :ref:`api_imperative_TranslatedLayer` - or used in function :ref:`api_imperative_jit_load` that - load :ref:`api_imperative_TranslatedLayer` . + ``paddle.jit.save/load`` and ``paddle.load`` . Examples: 1. Using ``SaveLoadConfig`` when saving model @@ -319,7 +317,7 @@ class SaveLoadConfig(object): @property def output_spec(self): """ - Selects the output targets of the saved model ( :ref:`api_imperative_TranslatedLayer` ). + Selects the output targets of the saved model ( ``paddle.jit.TranslatedLayer`` ). By default, all return variables of original Layer's forward function are kept as the output of the saved TranslatedLayer. @@ -531,11 +529,14 @@ class SaveLoadConfig(object): def separate_params(self): """ Configure whether to save the Layer parameters as separete files. - (In order to be compatible with the behavior of :ref:`api_fluid_io_save_inference_model` ) + (In order to be compatible with the behavior of ``paddle.static.save_inference_model`` ) If True, each parameter will be saved to a file separately, the file name is the parameter name, and the SaveLoadConfig.params_filename configuration will not take effect. Default False. + .. note:: + Only used for ``paddle.jit.save`` . + Examples: .. code-block:: python @@ -569,7 +570,7 @@ class SaveLoadConfig(object): adam.clear_grad() model_path = "simplenet.example.model.separate_params" - config = paddle.jit.SaveLoadConfig() + config = paddle.SaveLoadConfig() config.separate_params = True # saving with configs.separate_params @@ -599,12 +600,12 @@ class SaveLoadConfig(object): def keep_name_table(self): """ Configures whether keep ``structured_name -> parameter_name`` dict in loaded state dict. - This dict is the debugging information saved when call `paddle.save`. + This dict is the debugging information saved when call ``paddle.save`` . It is generally only used for debugging and does not affect the actual training or inference. - By default, it will not be retained in `paddle.load` result. Default: False. + By default, it will not be retained in ``paddle.load`` result. Default: False. .. note:: - Only used for ``paddle.load``. + Only used for ``paddle.load`` . Examples: .. code-block:: python @@ -616,11 +617,11 @@ class SaveLoadConfig(object): linear = paddle.nn.Linear(5, 1) state_dict = linear.state_dict() - paddle.save(state_dict, "paddle_dy") + paddle.save(state_dict, "paddle_dy.pdparams") - configs = paddle.SaveLoadConfig() - configs.keep_name_table = True - para_state_dict, _ = paddle.load("paddle_dy", configs) + config = paddle.SaveLoadConfig() + config.keep_name_table = True + para_state_dict = paddle.load("paddle_dy.pdparams", config) print(para_state_dict) # the name_table is 'StructuredToParameterName@@' @@ -867,7 +868,7 @@ def save(layer, model_path, input_spec=None, config=None): # 2. get program from Layer # TODO(chenweihang): add support for other method, not only forward - if isinstance(layer.forward, StaticLayer): + if isinstance(layer.forward, StaticFunction): concrete_program = layer.forward.concrete_program else: # transform in jit.save, if input_spec is incomplete, declarative will throw error diff --git a/python/paddle/fluid/dygraph/layers.py b/python/paddle/fluid/dygraph/layers.py index 9c79deaab73ff7bde9a2414ceb67ad0d04103498..88e24e7e1ea99ffe6d4694ad7dd8f8a363cce71d 100644 --- a/python/paddle/fluid/dygraph/layers.py +++ b/python/paddle/fluid/dygraph/layers.py @@ -970,12 +970,12 @@ class Layer(core.Layer): paddle.disable_static() - emb = paddle.nn.Embedding([10, 10]) + emb = paddle.nn.Embedding(10, 10) state_dict = emb.state_dict() - paddle.save(state_dict, "paddle_dy") + paddle.save(state_dict, "paddle_dy.pdparams") - para_state_dict, _ = paddle.load("paddle_dy") + para_state_dict = paddle.load("paddle_dy.pdparams") emb.set_state_dict(para_state_dict) diff --git a/python/paddle/fluid/dygraph/math_op_patch.py b/python/paddle/fluid/dygraph/math_op_patch.py index 3aa7b9dfc262810686319819f717f3cfd06b5e50..68206f62860852b1124b65da0e4124f60a2a8051 100644 --- a/python/paddle/fluid/dygraph/math_op_patch.py +++ b/python/paddle/fluid/dygraph/math_op_patch.py @@ -17,8 +17,7 @@ from __future__ import print_function from .. import core from ..framework import Variable, convert_np_dtype_to_dtype_, _varbase_creator from ..layers.layer_function_generator import OpProtoHolder -from ..layers import common_methods -from . import to_variable, no_grad +from . import no_grad import numpy as np import six @@ -53,47 +52,25 @@ def monkey_patch_math_varbase(): def astype(self, dtype): """ - **Notes**: - **The variable must be a** :ref:`api_fluid_Tensor` - Cast a variable to a specified data type. + Cast a Tensor to a specified data type. Args: - - self(Variable): The source variable - - dtype: The target data type + dtype: The target data type. Returns: - Variable: Variable with new dtype + Tensor: a new Tensor with target dtype Examples: - In Static Graph Mode: - - .. code-block:: python - - import paddle.fluid as fluid - - startup_prog = fluid.Program() - main_prog = fluid.Program() - with fluid.program_guard(startup_prog, main_prog): - original_variable = fluid.data(name = "new_variable", shape=[2,2], dtype='float32') - new_variable = original_variable.astype('int64') - print("new var's dtype is: {}".format(new_variable.dtype)) - - In Dygraph Mode: - .. code-block:: python - import paddle.fluid as fluid + import paddle import numpy as np - x = np.ones([2, 2], np.float32) - with fluid.dygraph.guard(): - original_variable = fluid.dygraph.to_variable(x) - print("original var's dtype is: {}, numpy dtype is {}".format(original_variable.dtype, original_variable.numpy().dtype)) - new_variable = original_variable.astype('int64') - print("new var's dtype is: {}, numpy dtype is {}".format(new_variable.dtype, new_variable.numpy().dtype)) + original_tensor = paddle.ones([2, 2]) + print("original tensor's dtype is: {}".format(original_tensor.dtype)) + new_tensor = original_tensor.astype('float32') + print("new tensor's dtype is: {}".format(new_tensor.dtype)) """ if not isinstance(dtype, core.VarDesc.VarType): @@ -147,6 +124,10 @@ def monkey_patch_math_varbase(): def _ndim_(var): return len(var.shape) + @property + def _size_(var): + return np.prod(var.shape) + def _scalar_add_(var, value): return _scalar_elementwise_op_(var, 1.0, value) @@ -208,7 +189,6 @@ def monkey_patch_math_varbase(): __impl__.__doc__ = """ {0} Args: - self(Tensor): left hand Tensor other_var(Tensor|float|int): right hand Tensor Returns: @@ -217,23 +197,7 @@ def monkey_patch_math_varbase(): __impl__.__name__ = method_name return __impl__ - # Todo(zhouwei): implement dygraph template to adapt to any function, receive('op_type', 'arg_template') - # Such as _method_creator_('addmm', 'x, y, alpha=1.0, beta=1.0, name=None'). It can reduce call time. - def _method_creator_(op_type, arg_template=None): - def __impl__(self): - op = getattr(core.ops, op_type) - return op(self) - - __impl__.__doc__ = """ - - See paddle.{}""".format(op_type) - __impl__.__name__ = op_type - - return __impl__ - varbase_methods = [ - # Type1: From custom fun or lambda - ## b=-a ('__neg__', _neg_), ('__float__', _float_), ('__long__', _long_), @@ -244,8 +208,7 @@ def monkey_patch_math_varbase(): ('dim', lambda x: len(x.shape)), ('ndimension', lambda x: len(x.shape)), ('ndim', _ndim_), - ('size', lambda x: x.shape), - # Type2: From Template that create core.ops automatically. It's recommended. + ('size', _size_), ('__add__', _binary_creator_('__add__', 'elementwise_add', False, _scalar_add_)), ## a+b == b+a. Do not need to reverse explicitly @@ -283,31 +246,7 @@ def monkey_patch_math_varbase(): ('__le__', _binary_creator_('__le__', 'less_equal', False, None)), ('__gt__', _binary_creator_('__gt__', 'greater_than', False, None)), ('__ge__', _binary_creator_('__ge__', 'greater_equal', False, None)), - ('__array_ufunc__', None), - ('sigmoid', _method_creator_('sigmoid', 'name=None')), - ('log_sigmoid', _method_creator_('logsigmoid', 'name=None')), - ('exp', _method_creator_('exp', 'name=None')), - ('tanh', _method_creator_('tanh', 'name=None')), - ('atan', _method_creator_('atan', 'name=None')), - ('tanh_shrink', _method_creator_('tanh_shrink', 'name=None')), - ('sqrt', _method_creator_('sqrt', 'name=None')), - ('rsqrt', _method_creator_('rsqrt', 'name=None')), - ('abs', _method_creator_('abs', 'name=None')), - ('ceil', _method_creator_('ceil', 'name=None')), - ('floor', _method_creator_('floor', 'name=None')), - ('cos', _method_creator_('cos', 'name=None')), - ('acos', _method_creator_('acos', 'name=None')), - ('asin', _method_creator_('asin', 'name=None')), - ('sin', _method_creator_('sin', 'name=None')), - ('sinh', _method_creator_('sinh', 'name=None')), - ('cosh', _method_creator_('cosh', 'name=None')), - ('round', _method_creator_('round', 'name=None')), - ('reciprocal', _method_creator_('reciprocal', 'name=None')), - ('square', _method_creator_('square', 'name=None')), - ('softplus', _method_creator_('softplus', 'name=None')), - ('softsign', _method_creator_('softsign', 'name=None')), - # Type3: Form module 'paddle.tensor' defaultly. - # It's not a goodway, because it will increase call time. + ('__array_ufunc__', None) ] global _already_patch_varbase @@ -318,7 +257,15 @@ def monkey_patch_math_varbase(): setattr(core.VarBase, method_name, method_impl) else: import paddle.tensor - for method_name in common_methods: + # Tensor method from module paddle.tensor + tensor_methods = paddle.tensor.linalg.__all__ + \ + paddle.tensor.math.__all__ + \ + paddle.tensor.logic.__all__ + \ + paddle.tensor.manipulation.__all__ + \ + paddle.tensor.search.__all__ + \ + paddle.tensor.stat.__all__ + \ + paddle.tensor.attribute.__all__ + for method_name in tensor_methods: if hasattr(core.VarBase, method_name): continue method_impl = getattr(paddle.tensor, method_name, None) if method_impl: setattr(core.VarBase, method_name, method_impl) diff --git a/python/paddle/fluid/dygraph/nn.py b/python/paddle/fluid/dygraph/nn.py index a14c3a81c121758ed90450cd5eb5990f3f7739e1..05269028acc4004b8af000dabd946f9a3d8ce40f 100644 --- a/python/paddle/fluid/dygraph/nn.py +++ b/python/paddle/fluid/dygraph/nn.py @@ -3230,14 +3230,11 @@ class Flatten(layers.Layer): .. code-block:: python import paddle - from paddle import to_variable import numpy as np + paddle.disable_static() inp_np = np.ones([5, 2, 3, 4]).astype('float32') - - paddle.disable_static() - - inp_np = to_variable(inp_np) + inp_np = paddle.to_tensor(inp_np) flatten = paddle.nn.Flatten(start_axis=1, stop_axis=2) flatten_res = flatten(inp_np) diff --git a/python/paddle/fluid/dygraph/parallel.py b/python/paddle/fluid/dygraph/parallel.py index 472022bced7e3e2dd11d301501ebaec75e5e412a..de761cad5298aa00e05c664fb98077d73622e692 100644 --- a/python/paddle/fluid/dygraph/parallel.py +++ b/python/paddle/fluid/dygraph/parallel.py @@ -610,13 +610,13 @@ class DataParallel(layers.Layer): paddle.disable_static() - emb = paddle.nn.Embedding([10, 10]) + emb = paddle.nn.Embedding(10, 10) emb = fluid.dygraph.DataParallel(emb, strategy) state_dict = emb.state_dict() - paddle.save(state_dict, "paddle_dy") + paddle.save(state_dict, "paddle_dy.pdparams") - para_state_dict, _ = paddle.load("paddle_dy") + para_state_dict = paddle.load("paddle_dy.pdparams") emb.set_state_dict(para_state_dict) diff --git a/python/paddle/fluid/executor.py b/python/paddle/fluid/executor.py index 2e3f34f41648a9343b4bccd1044bcd3f7b3d8189..3dc30767e5aa42d6a0a9f673e093f40045cbed87 100644 --- a/python/paddle/fluid/executor.py +++ b/python/paddle/fluid/executor.py @@ -1355,7 +1355,7 @@ class Executor(object): if not program._fleet_opt is None: if program._fleet_opt.get("worker_class", "") == "HeterCpuWorker": is_heter = 1 - if program._fleet_opt("trainer", "") == "HeterXpuTrainer": + if program._fleet_opt.get("trainer", "") == "HeterXpuTrainer": is_heter = 1 if scope is None: scope = global_scope() diff --git a/python/paddle/fluid/framework.py b/python/paddle/fluid/framework.py index 797b32f5d4768af59fa4e6aceb75e4b6d9029d91..b4cea6761dcd84e047f98929644a1e264976503d 100644 --- a/python/paddle/fluid/framework.py +++ b/python/paddle/fluid/framework.py @@ -217,7 +217,16 @@ def _dygraph_not_support_(func): def _dygraph_only_(func): def __impl__(*args, **kwargs): assert in_dygraph_mode( - ), "We Only support %s in dynamic mode, please call 'paddle.disable_static()' to enter dynamic mode." % func.__name__ + ), "We only support '%s()' in dynamic graph mode, please call 'paddle.disable_static()' to enter dynamic graph mode." % func.__name__ + return func(*args, **kwargs) + + return __impl__ + + +def _static_only_(func): + def __impl__(*args, **kwargs): + assert not in_dygraph_mode( + ), "We only support '%s()' in static graph mode, please call 'paddle.enable_static()' to enter static graph mode." % func.__name__ return func(*args, **kwargs) return __impl__ @@ -260,6 +269,7 @@ def deprecate_stat_dict(func): dygraph_not_support = wrap_decorator(_dygraph_not_support_) dygraph_only = wrap_decorator(_dygraph_only_) +static_only = wrap_decorator(_static_only_) fake_interface_only = wrap_decorator(_fake_interface_only_) @@ -603,7 +613,9 @@ def convert_np_dtype_to_dtype_(np_dtype): elif dtype == np.bool: return core.VarDesc.VarType.BOOL elif dtype == np.uint16: - return core.VarDesc.VarType.INT16 + # since there is still no support for bfloat16 in NumPy, + # uint16 is used for casting bfloat16 + return core.VarDesc.VarType.BF16 elif dtype == np.uint8: return core.VarDesc.VarType.UINT8 elif dtype == np.int8: diff --git a/python/paddle/fluid/layers/control_flow.py b/python/paddle/fluid/layers/control_flow.py index 2002b8a95decfd6d6c55538e2dff0a793828dd9b..013a842e1123dd7e330e7e34c776e1c66026456d 100755 --- a/python/paddle/fluid/layers/control_flow.py +++ b/python/paddle/fluid/layers/control_flow.py @@ -2488,9 +2488,6 @@ def _error_message(what, arg_name, op_name, right_value, error_value): def case(pred_fn_pairs, default=None, name=None): ''' :api_attr: Static Graph - :alias_main: paddle.nn.case - :alias: paddle.nn.case,paddle.nn.control_flow.case - :old_api: paddle.fluid.layers.case This operator works like an if-elif-elif-else chain. @@ -2500,7 +2497,7 @@ def case(pred_fn_pairs, default=None, name=None): name(str, optional): The default value is None. Normally there is no need for user to set this property. For more information, please refer to :ref:`api_guide_Name`. Returns: - Variable|list(Variable): Tensors returned by the callable from the first pair whose pred is True, + Tensor|list(Tensor): Tensors returned by the callable from the first pair whose pred is True, or Tensors returned by ``default`` if no pred in ``pred_fn_pairs`` is True and ``default`` is not None, or Tensors returned by the last callable in ``pred_fn_pairs`` if no pred in ``pred_fn_pairs`` is True and ``default`` is None. @@ -2508,45 +2505,47 @@ def case(pred_fn_pairs, default=None, name=None): TypeError: If the type of ``pred_fn_pairs`` is not list or tuple. TypeError: If the type of elements in ``pred_fn_pairs`` is not tuple. TypeError: If the size of tuples in ``pred_fn_pairs`` is not 2. - TypeError: If the first element of 2-tuple in ``pred_fn_pairs`` is not Variable. + TypeError: If the first element of 2-tuple in ``pred_fn_pairs`` is not a Tensor. TypeError: If the second element of 2-tuple in ``pred_fn_pairs`` is not callable. TypeError: If ``default`` is not None but it is not callable. Examples: .. code-block:: python - import paddle.fluid as fluid - import paddle.fluid.layers as layers + import paddle + + paddle.enable_static() def fn_1(): - return layers.fill_constant(shape=[1, 2], dtype='float32', value=1) + return paddle.fill_constant(shape=[1, 2], dtype='float32', value=1) def fn_2(): - return layers.fill_constant(shape=[2, 2], dtype='int32', value=2) + return paddle.fill_constant(shape=[2, 2], dtype='int32', value=2) def fn_3(): - return layers.fill_constant(shape=[3], dtype='int32', value=3) + return paddle.fill_constant(shape=[3], dtype='int32', value=3) - main_program = fluid.default_startup_program() - startup_program = fluid.default_main_program() - with fluid.program_guard(main_program, startup_program): - x = layers.fill_constant(shape=[1], dtype='float32', value=0.3) - y = layers.fill_constant(shape=[1], dtype='float32', value=0.1) - z = layers.fill_constant(shape=[1], dtype='float32', value=0.2) + main_program = paddle.static.default_startup_program() + startup_program = paddle.static.default_main_program() - pred_1 = layers.less_than(z, x) # true: 0.2 < 0.3 - pred_2 = layers.less_than(x, y) # false: 0.3 < 0.1 - pred_3 = layers.equal(x, y) # false: 0.3 == 0.1 + with paddle.static.program_guard(main_program, startup_program): + x = paddle.fill_constant(shape=[1], dtype='float32', value=0.3) + y = paddle.fill_constant(shape=[1], dtype='float32', value=0.1) + z = paddle.fill_constant(shape=[1], dtype='float32', value=0.2) + + pred_1 = paddle.less_than(z, x) # true: 0.2 < 0.3 + pred_2 = paddle.less_than(x, y) # false: 0.3 < 0.1 + pred_3 = paddle.equal(x, y) # false: 0.3 == 0.1 # Call fn_1 because pred_1 is True - out_1 = layers.case( + out_1 = paddle.static.nn.case( pred_fn_pairs=[(pred_1, fn_1), (pred_2, fn_2)], default=fn_3) # Argument default is None and no pred in pred_fn_pairs is True. fn_3 will be called. # because fn_3 is the last callable in pred_fn_pairs. - out_2 = layers.case(pred_fn_pairs=[(pred_2, fn_2), (pred_3, fn_3)]) + out_2 = paddle.static.nn.case(pred_fn_pairs=[(pred_2, fn_2), (pred_3, fn_3)]) - exe = fluid.Executor(fluid.CPUPlace()) + exe = paddle.static.Executor(paddle.CPUPlace()) res_1, res_2 = exe.run(main_program, fetch_list=[out_1, out_2]) print(res_1) # [[1. 1.]] print(res_2) # [3 3 3] diff --git a/python/paddle/fluid/layers/io.py b/python/paddle/fluid/layers/io.py index d513d44acfff230eb229e161e689fbc60a73c602..6b98dea42903e1392febd14b739b49cec7bc8c14 100644 --- a/python/paddle/fluid/layers/io.py +++ b/python/paddle/fluid/layers/io.py @@ -31,6 +31,7 @@ from ..unique_name import generate as unique_name import logging from ..data_feeder import check_dtype, check_type +from paddle.fluid.framework import static_only __all__ = [ 'data', 'read_file', 'double_buffer', 'py_reader', @@ -38,6 +39,7 @@ __all__ = [ ] +@static_only def data(name, shape, append_batch_size=True, diff --git a/python/paddle/fluid/layers/math_op_patch.py b/python/paddle/fluid/layers/math_op_patch.py index 4595f0cf93916d71a3d0ec582af1917500d68f12..92b58a7e2ee4c76af7047a14f67e40d76be76dc0 100644 --- a/python/paddle/fluid/layers/math_op_patch.py +++ b/python/paddle/fluid/layers/math_op_patch.py @@ -54,29 +54,6 @@ EXPRESSION_MAP = { "__ge__": "A >= B" } -# method for Tensor from paddle.tensor -# edit it when paddle.tensor has new method about Tensor operation -common_methods = [ - 'exp', 'tanh', 'atan', 'sqrt', 'rsqrt', 'abs', 'ceil', 'floor', 'cos', - 'acos', 'asin', 'sin', 'sinh', 'cosh', 'round', 'reciprocal', 'square', - 'rank', 'matmul', 'dot', 'norm', 'transpose', 'dist', 't', 'cross', - 'cholesky', 'bmm', 'histogram', 'equal', 'greater_equal', 'greater_than', - 'is_empty', 'isfinite', 'less_equal', 'less_than', 'logical_and', - 'logical_not', 'logical_or', 'logical_xor', 'not_equal', 'reduce_all', - 'reduce_any', 'allclose', 'equal_all', 'cast', 'expand', 'expand_as', - 'tile', 'flatten', 'gather', 'gather_nd', 'reshape', 'reverse', 'scatter', - 'scatter_nd_add', 'scatter_nd', 'shard_index', 'slice', 'split', 'squeeze', - 'strided_slice', 'unique', 'unique_with_counts', 'unsqueeze', 'flip', - 'unbind', 'roll', 'cumsum', 'increment', 'log', 'pow', 'reciprocal', - 'round', 'rsqrt', 'scale', 'sign', 'stanh', 'sum', 'reduce_prod', 'max', - 'min', 'mm', 'div', 'multiply', 'add', 'logsumexp', 'log1p', 'erf', - 'addcmul', 'addmm', 'clamp', 'trace', 'kron', 'argmax', 'argmin', 'argsort', - 'has_inf', 'has_nan', 'topk', 'index_select', 'nonzero', 'sort', - 'index_sample', 'mean', 'std', 'var', 'elementwise_add', 'elementwise_div', - 'elementwise_floordiv', 'elementwise_mod', 'elementwise_pow', - 'elementwise_sub' -] - _already_patch_variable = False @@ -372,7 +349,14 @@ def monkey_patch_variable(): setattr(Variable, method_name, method_impl) else: import paddle.tensor - for method_name in common_methods: + variabel_methods = paddle.tensor.linalg.__all__ + \ + paddle.tensor.math.__all__ + \ + paddle.tensor.logic.__all__ + \ + paddle.tensor.manipulation.__all__ + \ + paddle.tensor.search.__all__ + \ + paddle.tensor.stat.__all__ + \ + paddle.tensor.attribute.__all__ + for method_name in variabel_methods: if hasattr(Variable, method_name): continue method_impl = getattr(paddle.tensor, method_name, None) if method_impl: setattr(Variable, method_name, method_impl) diff --git a/python/paddle/fluid/optimizer.py b/python/paddle/fluid/optimizer.py index 1e7915ed781a6441f32fb86c3c92e6f68ca66b93..0dd1694c86c354d5cab4e1081a16eb90da3872d5 100755 --- a/python/paddle/fluid/optimizer.py +++ b/python/paddle/fluid/optimizer.py @@ -182,23 +182,25 @@ class Optimizer(object): Examples: .. code-block:: python - import paddle + import paddle + import paddle.fluid as fluid paddle.disable_static() - emb = paddle.nn.Embedding([10, 10]) + emb = paddle.nn.Embedding(10, 10) state_dict = emb.state_dict() - paddle.save(state_dict, "paddle_dy") + fluid.save_dygraph(state_dict, "paddle_dy") - adam = paddle.optimizer.Adam(learning_rate=fluid.layers.noam_decay( 100, 10000), - parameter_list=emb.parameters()) + scheduler = paddle.optimizer.lr_scheduler.NoamLR( + d_model=0.01, warmup_steps=100, verbose=True) + adam = paddle.optimizer.Adam( + learning_rate=scheduler, + parameters=emb.parameters()) state_dict = adam.state_dict() + fluid.save_dygraph(state_dict, "paddle_dy") - para_state_dict, opti_state_dict = paddle.load("paddle_dy") - - adam.set_state_dict(opti_state_dict) - + para_state_dict, opti_state_dict = fluid.load_dygraph("paddle_dy") ''' from paddle.optimizer.lr_scheduler import _LRScheduler if isinstance(self._learning_rate, _LRScheduler): diff --git a/python/paddle/fluid/reader.py b/python/paddle/fluid/reader.py index 533222531f98b188f9fe5b47184ff39736488bd6..6cc00a7fd37347c0a85859f3e4177c33073264d6 100644 --- a/python/paddle/fluid/reader.py +++ b/python/paddle/fluid/reader.py @@ -167,10 +167,10 @@ class DataLoader(object): The variables should be created by :code:`fluid.data()`. :attr:`feed_list` must be set if :attr:`return_list` is False. Default None. - places(list(Place)|tuple(Place)): a list of Place, to put data - onto, :attr:`places` must be set in both static graph and - dynamic graph mode, in dynamic graph mode, place number must - be 1. Default None. + places(list(Place)|tuple(Place)|optional): a list of Place, + to put data onto, :attr:`places` can be None, if + :attr:`places` is None, default place(CPUPlace or CUDAPlace(0)) + will be used. Default None. return_list (bool): whether the return value on each device is presented as a list. If :attr:`return_list=False`, the return value on each device would be a dict of str -> LoDTensor, where @@ -222,6 +222,8 @@ class DataLoader(object): .. code-block:: python import numpy as np + + import paddle import paddle.fluid as fluid from paddle.io import Dataset, BatchSampler, DataLoader @@ -247,11 +249,48 @@ class DataLoader(object): def __len__(self): return self.num_samples + dataset = RandomDataset(BATCH_NUM * BATCH_SIZE) + # get places places = fluid.cuda_places() if USE_GPU else fluid.cpu_places() + # --------------------- dygraph mode -------------------- + + class SimpleNet(fluid.dygraph.Layer): + def __init__(self): + super(SimpleNet, self).__init__() + self.fc = fluid.dygraph.nn.Linear(IMAGE_SIZE, CLASS_NUM, act='softmax') + + def forward(self, image, label=None): + return self.fc(image) + + with fluid.dygraph.guard(places[0]): + simple_net = SimpleNet() + opt = fluid.optimizer.SGD(learning_rate=1e-3, + parameter_list=simple_net.parameters()) + + loader = DataLoader(dataset, + batch_size=BATCH_SIZE, + shuffle=True, + drop_last=True, + num_workers=2) + + for e in range(EPOCH_NUM): + for i, (image, label) in enumerate(loader()): + out = simple_net(image) + loss = fluid.layers.cross_entropy(out, label) + avg_loss = fluid.layers.reduce_mean(loss) + avg_loss.backward() + opt.minimize(avg_loss) + simple_net.clear_gradients() + print("Epoch {} batch {}: loss = {}".format(e, i, np.mean(loss.numpy()))) + + # ------------------------------------------------------- + # -------------------- static graph --------------------- + paddle.enable_static() + def simple_net(image, label): fc_tmp = fluid.layers.fc(image, size=CLASS_NUM, act='softmax') cross_entropy = fluid.layers.softmax_with_cross_entropy(image, label) @@ -270,11 +309,8 @@ class DataLoader(object): prog = fluid.CompiledProgram(fluid.default_main_program()).with_data_parallel(loss_name=loss.name) - dataset = RandomDataset(BATCH_NUM * BATCH_SIZE) - loader = DataLoader(dataset, feed_list=[image, label], - places=places, batch_size=BATCH_SIZE, shuffle=True, drop_last=True, @@ -287,39 +323,6 @@ class DataLoader(object): # ------------------------------------------------------- - # --------------------- dygraph mode -------------------- - - class SimpleNet(fluid.dygraph.Layer): - def __init__(self): - super(SimpleNet, self).__init__() - self.fc = fluid.dygraph.nn.Linear(IMAGE_SIZE, CLASS_NUM, act='softmax') - - def forward(self, image, label=None): - return self.fc(image) - - with fluid.dygraph.guard(places[0]): - simple_net = SimpleNet() - opt = fluid.optimizer.SGD(learning_rate=1e-3, - parameter_list=simple_net.parameters()) - - loader = DataLoader(dataset, - places=places[0], - batch_size=BATCH_SIZE, - shuffle=True, - drop_last=True, - num_workers=2) - - for e in range(EPOCH_NUM): - for i, (image, label) in enumerate(loader()): - out = simple_net(image) - loss = fluid.layers.cross_entropy(out, label) - avg_loss = fluid.layers.reduce_mean(loss) - avg_loss.backward() - opt.minimize(avg_loss) - simple_net.clear_gradients() - print("Epoch {} batch {}: loss = {}".format(e, i, np.mean(loss.numpy()))) - - # ------------------------------------------------------- .. note:: For reading iterable dataset with multiprocess Dataloader, @@ -356,11 +359,9 @@ class DataLoader(object): "feed_list should be set when return_list=False" self.feed_list = feed_list - assert places is not None, "places cannot be None" + if places is None: + places = _current_expected_place() self.places = _convert_places(places) - if in_dygraph_mode(): - assert len(self.places) == 1, \ - "Number of places must be 1 in dygraph mode" assert num_workers >= 0, "num_workers should be a non-negative value" if num_workers > 0 and (sys.platform == 'darwin' or diff --git a/python/paddle/fluid/tests/unittests/CMakeLists.txt b/python/paddle/fluid/tests/unittests/CMakeLists.txt index 8d236dca22f2266771a029b7cdbf7db21aefb1fe..97a3ebc2135a0649fff88e1a1c14d02dfb7850b1 100644 --- a/python/paddle/fluid/tests/unittests/CMakeLists.txt +++ b/python/paddle/fluid/tests/unittests/CMakeLists.txt @@ -45,6 +45,7 @@ list(APPEND MIXED_DIST_TEST_OPS test_fleet_localsgd_meta_optimizer) list(APPEND MIXED_DIST_TEST_OPS test_fleet_lars_meta_optimizer) list(APPEND MIXED_DIST_TEST_OPS test_fleet_lamb_meta_optimizer) list(APPEND MIXED_DIST_TEST_OPS test_fleet_dgc_meta_optimizer) +list(APPEND MIXED_DIST_TEST_OPS test_fleet_fp16_allreduce_meta_optimizer) list(APPEND MIXED_DIST_TEST_OPS test_fleet_private_function) list(APPEND MIXED_DIST_TEST_OPS test_fleet_graph_executor) list(APPEND MIXED_DIST_TEST_OPS test_fleet_meta_optimizer_base) @@ -335,7 +336,6 @@ list(REMOVE_ITEM TEST_OPS test_conv3d_transpose_op) list(REMOVE_ITEM TEST_OPS test_imperative_data_loader_exception) list(REMOVE_ITEM TEST_OPS test_sampling_id_op) - if (APPLE OR WIN32) list(REMOVE_ITEM TEST_OPS test_dataset) list(REMOVE_ITEM TEST_OPS test_dataset_dataloader) @@ -456,6 +456,7 @@ if(WITH_DISTRIBUTE) py_test_modules(test_fleet_graph_executor MODULES test_fleet_graph_executor ENVS ${dist_ENVS}) py_test_modules(test_fleet_gradient_merge_meta_optimizer MODULES test_fleet_gradient_merge_meta_optimizer ENVS ${dist_ENVS}) py_test_modules(test_fleet_amp_meta_optimizer MODULES test_fleet_amp_meta_optimizer ENVS ${dist_ENVS}) + py_test_modules(test_fleet_fp16_allreduce_meta_optimizer MODULES test_fleet_fp16_allreduce_meta_optimizer ENVS ${dist_ENVS}) py_test_modules(test_fleet_pipeline_meta_optimizer MODULES test_fleet_pipeline_meta_optimizer ENVS ${dist_ENVS}) py_test_modules(test_fleet_private_function MODULES test_fleet_private_function ENVS ${dist_ENVS}) py_test_modules(test_fleet_meta_optimizer_base MODULES test_fleet_meta_optimizer_base ENVS ${dist_ENVS}) @@ -530,15 +531,15 @@ if(NOT WIN32) endif() if(NOT APPLE AND NOT WIN32) - bash_test_modules(test_auto_checkpoint START_BASH dist_test.sh TIMEOUT 140) - bash_test_modules(test_auto_checkpoint1 START_BASH dist_test.sh TIMEOUT 140) - bash_test_modules(test_auto_checkpoint2 START_BASH dist_test.sh TIMEOUT 140) - bash_test_modules(test_auto_checkpoint3 START_BASH dist_test.sh TIMEOUT 140) - bash_test_modules(test_auto_checkpoint_multiple START_BASH dist_test.sh TIMEOUT 140) - bash_test_modules(test_auto_checkpoint_dist_basic START_BASH dist_test.sh TIMEOUT 140) - bash_test_modules(test_hdfs1 START_BASH dist_test.sh TIMEOUT 140) - bash_test_modules(test_hdfs2 START_BASH dist_test.sh TIMEOUT 140) - bash_test_modules(test_hdfs3 START_BASH dist_test.sh TIMEOUT 140) + bash_test_modules(test_auto_checkpoint START_BASH dist_test.sh TIMEOUT 140 LABELS "RUN_TYPE=EXCLUSIVE:NIGHTLY") + bash_test_modules(test_auto_checkpoint1 START_BASH dist_test.sh TIMEOUT 140 LABELS "RUN_TYPE=EXCLUSIVE:NIGHTLY") + bash_test_modules(test_auto_checkpoint2 START_BASH dist_test.sh TIMEOUT 140 LABELS "RUN_TYPE=EXCLUSIVE:NIGHTLY") + bash_test_modules(test_auto_checkpoint3 START_BASH dist_test.sh TIMEOUT 140 LABELS "RUN_TYPE=EXCLUSIVE:NIGHTLY") + bash_test_modules(test_auto_checkpoint_multiple START_BASH dist_test.sh TIMEOUT 140 LABELS "RUN_TYPE=EXCLUSIVE:NIGHTLY") + bash_test_modules(test_auto_checkpoint_dist_basic START_BASH dist_test.sh TIMEOUT 140 LABELS "RUN_TYPE=EXCLUSIVE:NIGHTLY") + bash_test_modules(test_hdfs1 START_BASH dist_test.sh TIMEOUT 140 LABELS "RUN_TYPE=EXCLUSIVE:NIGHTLY") + bash_test_modules(test_hdfs2 START_BASH dist_test.sh TIMEOUT 140 LABELS "RUN_TYPE=EXCLUSIVE:NIGHTLY") + bash_test_modules(test_hdfs3 START_BASH dist_test.sh TIMEOUT 140 LABELS "RUN_TYPE=EXCLUSIVE:NIGHTLY") endif() add_subdirectory(sequence) diff --git a/python/paddle/fluid/tests/unittests/ctr_dataset_reader.py b/python/paddle/fluid/tests/unittests/ctr_dataset_reader.py index 15e98481c26b20de4e9fa493fa022380ba1fcd63..92d84b8b3f381e8607d0168e3891c2399037e456 100644 --- a/python/paddle/fluid/tests/unittests/ctr_dataset_reader.py +++ b/python/paddle/fluid/tests/unittests/ctr_dataset_reader.py @@ -153,7 +153,7 @@ def gen_fake_line(dnn_data_num=7, return line -def prepare_fake_data(file_nums=9, file_lines=1000): +def prepare_fake_data(file_nums=6, file_lines=1000): """ Create fake data with same type as avazu_ctr_data """ diff --git a/python/paddle/fluid/tests/unittests/dist_fleet_ctr.py b/python/paddle/fluid/tests/unittests/dist_fleet_ctr.py index 5721445c414cf94379f44cab6bd01cca511938bf..f650dd0f7e9824ce2c2c495f1fb85fe1fc421d08 100644 --- a/python/paddle/fluid/tests/unittests/dist_fleet_ctr.py +++ b/python/paddle/fluid/tests/unittests/dist_fleet_ctr.py @@ -28,7 +28,6 @@ import numpy as np import ctr_dataset_reader from test_dist_fleet_base import runtime_main, FleetDistRunnerBase -from paddle.distributed.fleet.base.util_factory import fleet_util paddle.enable_static() @@ -180,13 +179,13 @@ class TestDistCTR2x2(FleetDistRunnerBase): fetch_list=[self.avg_cost.name]) loss_val = np.mean(loss_val) # TODO(randomly fail) - # reduce_output = fleet_util.all_reduce( + # reduce_output = fleet.util.all_reduce( # np.array(loss_val), mode="sum") - # loss_all_trainer = fleet_util.all_gather(float(loss_val)) + # loss_all_trainer = fleet.util.all_gather(float(loss_val)) # loss_val = float(reduce_output) / len(loss_all_trainer) message = "TRAIN ---> pass: {} loss: {}\n".format(epoch_id, loss_val) - fleet_util.print_on_rank(message, 0) + fleet.util.print_on_rank(message, 0) pass_time = time.time() - pass_start except fluid.core.EOFException: diff --git a/python/paddle/fluid/tests/unittests/dist_fleet_ctr_ps_gpu.py b/python/paddle/fluid/tests/unittests/dist_fleet_ctr_ps_gpu.py index 3852b225234ffacc2be749245fb1341331868272..7accc917f808e6f010e7f38de651a8a3965fcdf3 100644 --- a/python/paddle/fluid/tests/unittests/dist_fleet_ctr_ps_gpu.py +++ b/python/paddle/fluid/tests/unittests/dist_fleet_ctr_ps_gpu.py @@ -29,7 +29,6 @@ import numpy as np import ctr_dataset_reader from test_dist_fleet_base import runtime_main, FleetDistRunnerBase from dist_fleet_ctr import TestDistCTR2x2, fake_ctr_reader -from paddle.distributed.fleet.base.util_factory import fleet_util # Fix seed for test fluid.default_startup_program().random_seed = 1 @@ -76,13 +75,13 @@ class TestDistGpuPsCTR2x2(TestDistCTR2x2): loss_val = exe.run(program=fleet.main_program, fetch_list=[self.avg_cost.name]) loss_val = np.mean(loss_val) - reduce_output = fleet_util.all_reduce( + reduce_output = fleet.util.all_reduce( np.array(loss_val), mode="sum") - loss_all_trainer = fleet_util.all_gather(float(loss_val)) + loss_all_trainer = fleet.util.all_gather(float(loss_val)) loss_val = float(reduce_output) / len(loss_all_trainer) message = "TRAIN ---> pass: {} loss: {}\n".format(epoch_id, loss_val) - fleet_util.print_on_rank(message, 0) + fleet.util.print_on_rank(message, 0) pass_time = time.time() - pass_start except fluid.core.EOFException: diff --git a/python/paddle/fluid/tests/unittests/dist_fleet_heter_ctr.py b/python/paddle/fluid/tests/unittests/dist_fleet_heter_ctr.py index 470fb98d7991cf0cbffa47f6d5129b045f59ae97..fefaecd3b8979b47cf7c0c4f7aa058e9ffcaae42 100644 --- a/python/paddle/fluid/tests/unittests/dist_fleet_heter_ctr.py +++ b/python/paddle/fluid/tests/unittests/dist_fleet_heter_ctr.py @@ -29,7 +29,6 @@ import numpy as np import ctr_dataset_reader from test_dist_fleet_heter_base import runtime_main, FleetDistHeterRunnerBase from dist_fleet_ctr import TestDistCTR2x2, fake_ctr_reader -from paddle.distributed.fleet.base.util_factory import fleet_util paddle.enable_static() @@ -182,7 +181,7 @@ class TestHeterPsCTR2x2(FleetDistHeterRunnerBase): thread_num = int(os.getenv("CPU_NUM", 2)) batch_size = 128 - filelist = fleet_util.get_file_shard(train_file_list) + filelist = fleet.util.get_file_shard(train_file_list) print("filelist: {}".format(filelist)) # config dataset @@ -207,13 +206,6 @@ class TestHeterPsCTR2x2(FleetDistHeterRunnerBase): debug=int(os.getenv("Debug", "0"))) pass_time = time.time() - pass_start print("do_dataset_training done. using time {}".format(pass_time)) - if os.getenv("SAVE_MODEL") == "1": - model_dir = tempfile.mkdtemp() - fleet.save_inference_model(exe, model_dir, - [feed.name for feed in self.feeds], - self.avg_cost) - self.check_model_right(model_dir) - shutil.rmtree(model_dir) fleet.stop_worker() print("do_dataset_training stop worker.") diff --git a/python/paddle/fluid/tests/unittests/dist_fleet_simnet_bow.py b/python/paddle/fluid/tests/unittests/dist_fleet_simnet_bow.py index ff84848873924c52b0f7e8f5bc71ec2a266b73f1..fb7ddef862d0f0bd54f10e090f6072a3dd808057 100644 --- a/python/paddle/fluid/tests/unittests/dist_fleet_simnet_bow.py +++ b/python/paddle/fluid/tests/unittests/dist_fleet_simnet_bow.py @@ -32,7 +32,6 @@ import os import signal from functools import reduce from test_dist_fleet_base import runtime_main, FleetDistRunnerBase -from paddle.distributed.fleet.base.util_factory import fleet_util paddle.enable_static() @@ -198,7 +197,7 @@ class TestDistSimnetBow2x2(FleetDistRunnerBase): def net(self, args, batch_size=4, lr=0.01): avg_cost, _, predict, self.reader = \ train_network(batch_size=batch_size, is_distributed=False, - is_sparse=True, is_self_contained_lr=False, is_pyreader=(args.reader == "pyreader")) + is_sparse=True, is_self_contained_lr=False, is_pyreader=(args.reader == "pyreader")) self.avg_cost = avg_cost self.predict = predict @@ -238,7 +237,7 @@ class TestDistSimnetBow2x2(FleetDistRunnerBase): loss_val = np.mean(loss_val) message = "TRAIN ---> pass: {} loss: {}\n".format(epoch_id, loss_val) - fleet_util.print_on_rank(message, 0) + fleet.util.print_on_rank(message, 0) pass_time = time.time() - pass_start except fluid.core.EOFException: diff --git a/python/paddle/fluid/tests/unittests/dist_mnist_fp16_allreduce.py b/python/paddle/fluid/tests/unittests/dist_mnist_fp16_allreduce.py new file mode 100644 index 0000000000000000000000000000000000000000..3198c6cac86c26bc6708df509ffc88aca12d52f3 --- /dev/null +++ b/python/paddle/fluid/tests/unittests/dist_mnist_fp16_allreduce.py @@ -0,0 +1,63 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function + +import paddle +import paddle.fluid as fluid +from paddle.distributed.fleet.meta_optimizers import FP16AllReduceOptimizer as FP16AllReduce +from test_dist_base import TestDistRunnerBase, runtime_main +from dist_mnist import cnn_model + +DTYPE = "float32" +paddle.dataset.mnist.fetch() + +# Fix seed for test +fluid.default_startup_program().random_seed = 1 +fluid.default_main_program().random_seed = 1 + + +class TestDistMnist2x2(TestDistRunnerBase): + def get_model(self, batch_size=2): + # Input data + images = fluid.layers.data(name='pixel', shape=[1, 28, 28], dtype=DTYPE) + label = fluid.layers.data(name='label', shape=[1], dtype='int64') + + # Train program + predict = cnn_model(images) + cost = fluid.layers.cross_entropy(input=predict, label=label) + avg_cost = fluid.layers.mean(x=cost) + + # Evaluator + batch_size_tensor = fluid.layers.create_tensor(dtype='int64') + batch_acc = fluid.layers.accuracy( + input=predict, label=label, total=batch_size_tensor) + + inference_program = fluid.default_main_program().clone() + # Optimization + opt = fluid.optimizer.MomentumOptimizer( + learning_rate=0.001, momentum=0.9) + opt = FP16AllReduce(opt) + + # Reader + train_reader = paddle.batch( + paddle.dataset.mnist.test(), batch_size=batch_size) + test_reader = paddle.batch( + paddle.dataset.mnist.test(), batch_size=batch_size) + opt.minimize(avg_cost) + return inference_program, avg_cost, train_reader, test_reader, batch_acc, predict + + +if __name__ == "__main__": + runtime_main(TestDistMnist2x2) diff --git a/python/paddle/fluid/tests/unittests/dygraph_to_static/test_declarative.py b/python/paddle/fluid/tests/unittests/dygraph_to_static/test_declarative.py index 450ef7557bc1574c31a00d05154aead19083c1bc..095eda2a5cba72ed21e5aa64a5990cd1ef2c27e0 100644 --- a/python/paddle/fluid/tests/unittests/dygraph_to_static/test_declarative.py +++ b/python/paddle/fluid/tests/unittests/dygraph_to_static/test_declarative.py @@ -19,7 +19,7 @@ import paddle import paddle.fluid as fluid from paddle.static import InputSpec from paddle.fluid.dygraph import to_variable, declarative, ProgramTranslator, Layer, jit -from paddle.fluid.dygraph.dygraph_to_static.program_translator import ConcreteProgram, StaticLayer +from paddle.fluid.dygraph.dygraph_to_static.program_translator import ConcreteProgram, StaticFunction from test_basic_api_transformation import dyfunc_to_variable @@ -81,14 +81,14 @@ class SimpleNet(Layer): return z -class TestStaticLayerInstance(unittest.TestCase): +class TestStaticFunctionInstance(unittest.TestCase): def test_instance_same_class(self): with fluid.dygraph.guard(fluid.CPUPlace()): net_1 = SimpleNet() net_2 = SimpleNet() - self.assertTrue(isinstance(net_1.forward, StaticLayer)) - self.assertTrue(isinstance(net_2.forward, StaticLayer)) + self.assertTrue(isinstance(net_1.forward, StaticFunction)) + self.assertTrue(isinstance(net_2.forward, StaticFunction)) self.assertNotEqual(net_1.forward, net_2.forward) # convert layer into static progam of net_1 diff --git a/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_conv_activation_fuse_pass.py b/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_conv_activation_fuse_pass.py new file mode 100644 index 0000000000000000000000000000000000000000..5d96994a33b2c05446b67df44bd8999352373d43 --- /dev/null +++ b/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_conv_activation_fuse_pass.py @@ -0,0 +1,106 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function + +import unittest +import numpy as np +from inference_pass_test import InferencePassTest +import paddle.fluid as fluid +import paddle.fluid.core as core +from paddle.fluid.core import AnalysisConfig +from paddle.fluid.core import PassVersionChecker + + +class ConvActivationMkldnnFusePassTest(InferencePassTest): + def setUp(self): + self.set_params() + with fluid.program_guard(self.main_program, self.startup_program): + data = fluid.data( + name="data", shape=[-1, 3, 100, 100], dtype="float32") + conv_out = fluid.layers.conv2d( + data, + num_filters=self.conv_num_filters, + filter_size=self.conv_filter_size, + bias_attr=self.conv_bias_attr, + act=self.act) + + self.feeds = { + "data": np.random.random((1, 3, 100, 100)).astype("float32") + } + self.fetch_list = [conv_out] + self.enable_mkldnn = True + + def set_params(self): + self.conv_num_filters = 3 + self.conv_filter_size = 3 + self.conv_bias_attr = False + self.act = "relu" + self.pass_name = 'conv_relu_mkldnn_fuse_pass' + + def test_check_output(self): + use_gpu = False + self.check_output_with_option(use_gpu) + + def test_pass_compatible(self): + self.assertTrue(PassVersionChecker.IsCompatible(self.pass_name)) + + +class ConvActivationMkldnnFusePassTest_1(ConvActivationMkldnnFusePassTest): + def set_params(self): + self.conv_num_filters = 5 + self.conv_filter_size = 5 + self.conv_bias_attr = True + self.act = "relu" + self.pass_name = 'conv_relu_mkldnn_fuse_pass' + + +class ConvActivationMkldnnFusePassTest_2(ConvActivationMkldnnFusePassTest): + def set_params(self): + self.conv_num_filters = 3 + self.conv_filter_size = 3 + self.conv_bias_attr = False + self.act = "leaky_relu" + self.pass_name = 'conv_leaky_relu_mkldnn_fuse_pass' + + +class ConvActivationMkldnnFusePassTest_3(ConvActivationMkldnnFusePassTest): + def set_params(self): + self.conv_num_filters = 5 + self.conv_filter_size = 5 + self.conv_bias_attr = True + self.act = "leaky_relu" + self.pass_name = 'conv_leaky_relu_mkldnn_fuse_pass' + + +class ConvActivationMkldnnFusePassTest_4(ConvActivationMkldnnFusePassTest): + def set_params(self): + self.conv_num_filters = 3 + self.conv_filter_size = 3 + self.conv_bias_attr = False + self.act = "relu6" + self.pass_name = 'conv_relu6_mkldnn_fuse_pass' + + +class ConvActivationMkldnnFusePassTest_4(ConvActivationMkldnnFusePassTest): + def set_params(self): + self.conv_num_filters = 5 + self.conv_filter_size = 5 + self.conv_bias_attr = True + self.act = "swish" + self.pass_name = 'conv_swish_mkldnn_fuse_pass' + + +if __name__ == "__main__": + unittest.main() diff --git a/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_conv_concat_relu_mkldnn_fuse_pass.py b/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_conv_concat_relu_mkldnn_fuse_pass.py new file mode 100644 index 0000000000000000000000000000000000000000..45097f6b8191d045d0665d7478e4090c0ae20cb3 --- /dev/null +++ b/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_conv_concat_relu_mkldnn_fuse_pass.py @@ -0,0 +1,92 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function + +import unittest +import numpy as np +from inference_pass_test import InferencePassTest +import paddle.fluid as fluid +import paddle.fluid.core as core +from paddle.fluid.core import AnalysisConfig +from paddle.fluid.core import PassVersionChecker + + +class ConvConcatReluMkldnnFusePassTest_0(InferencePassTest): + def setUp(self): + self.set_params() + with fluid.program_guard(self.main_program, self.startup_program): + data_1 = fluid.data( + name="data_1", shape=[-1, 3, 100, 100], dtype="float32") + data_2 = fluid.data( + name="data_2", shape=[-1, 3, 100, 100], dtype="float32") + conv_1 = fluid.layers.conv2d( + data_1, + num_filters=self.conv1_num_filters, + filter_size=self.conv1_filter_size, + padding=self.conv1_padding, + bias_attr=self.conv1_bias_attr) + conv_2 = fluid.layers.conv2d( + data_2, + num_filters=self.conv2_num_filters, + filter_size=self.conv2_filter_size, + padding=self.conv2_padding, + bias_attr=self.conv2_bias_attr) + concat = fluid.layers.concat( + [conv_1, conv_2], axis=self.concat_axis) + out = fluid.layers.relu(concat) + + self.feeds = { + "data_1": np.random.random((1, 3, 100, 100)).astype("float32"), + "data_2": np.random.random((1, 3, 100, 100)).astype("float32") + } + self.fetch_list = [out] + self.enable_mkldnn = True + + def set_params(self): + self.conv1_num_filters = 3 + self.conv1_filter_size = 3 + self.conv1_padding = 0 + self.conv1_bias_attr = False + self.conv2_num_filters = 3 + self.conv2_filter_size = 3 + self.conv2_padding = 0 + self.conv2_bias_attr = False + self.concat_axis = 0 + self.pass_name = "conv_concat_relu_mkldnn_fuse_pass" + + def test_check_output(self): + use_gpu = False + self.check_output_with_option(use_gpu) + + def test_pass_compatible(self): + self.assertTrue(PassVersionChecker.IsCompatible(self.pass_name)) + + +class ConvConcatReluMkldnnFusePassTest_1(ConvConcatReluMkldnnFusePassTest_0): + def set_params(self): + self.conv1_num_filters = 3 + self.conv1_filter_size = 3 + self.conv1_padding = 0 + self.conv1_bias_attr = False + self.conv2_num_filters = 5 + self.conv2_filter_size = 5 + self.conv2_padding = 1 + self.conv2_bias_attr = True + self.concat_axis = 1 + self.pass_name = "conv_concat_relu_mkldnn_fuse_pass" + + +if __name__ == "__main__": + unittest.main() diff --git a/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_matmul_transpose_reshape_fuse_pass.py b/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_matmul_transpose_reshape_fuse_pass.py new file mode 100644 index 0000000000000000000000000000000000000000..a6b5e0e54739b37b5f2e490fc890fbe56c2f83f2 --- /dev/null +++ b/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_matmul_transpose_reshape_fuse_pass.py @@ -0,0 +1,81 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function + +import unittest +import numpy as np +from inference_pass_test import InferencePassTest +import paddle.fluid as fluid +import paddle.fluid.core as core +from paddle.fluid.core import AnalysisConfig +from paddle.fluid.core import PassVersionChecker + + +class MatmulTransposeReshapeMkldnnFusePassTest(InferencePassTest): + def setUp(self): + self.set_params() + with fluid.program_guard(self.main_program, self.startup_program): + data = fluid.data( + name="data", shape=self.data_shape, dtype="float32") + weight = fluid.layers.create_parameter( + shape=self.weight_shape, dtype="float32") + matmul = fluid.layers.matmul( + data, + weight, + transpose_x=self.transpose_x, + transpose_y=self.transpose_y) + transpose = fluid.layers.transpose(matmul, self.tranpose_perm) + reshape = fluid.layers.reshape(transpose, shape=self.reshape_shape) + + self.fetch_list = [reshape] + self.enable_mkldnn = True + + def set_params(self): + self.data_shape = [-1, 3, 100, 110] + self.weight_shape = [1, 3, 110, 100] + self.feeds = { + "data": np.random.random((1, 3, 100, 110)).astype("float32") + } + self.transpose_x = False + self.transpose_y = False + self.tranpose_perm = [0, 2, 1, 3] + self.reshape_shape = [3, 100, 100] + self.pass_name = 'matmul_transpose_reshape_fuse_pass' + + def test_check_output(self): + use_gpu = False + self.check_output_with_option(use_gpu) + + def test_pass_compatible(self): + self.assertTrue(PassVersionChecker.IsCompatible(self.pass_name)) + + +class MatmulTransposeReshapeMkldnnFusePassTest_1( + MatmulTransposeReshapeMkldnnFusePassTest): + def set_params(self): + self.data_shape = [-1, 3, 100, 100] + self.weight_shape = [1, 3, 100, 100] + self.feeds = { + "data": np.random.random((1, 3, 100, 100)).astype("float32") + } + self.transpose_x = True + self.transpose_y = True + self.tranpose_perm = [0, 2, 1, 3] + self.reshape_shape = [6, 50, 100] + self.pass_name = 'matmul_transpose_reshape_fuse_pass' + + +if __name__ == "__main__": + unittest.main() diff --git a/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_scale_matmul_fuse_pass.py b/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_scale_matmul_fuse_pass.py new file mode 100644 index 0000000000000000000000000000000000000000..55a6b543f0aeafe75940255565e3f02ae9194b99 --- /dev/null +++ b/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_scale_matmul_fuse_pass.py @@ -0,0 +1,73 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function + +import unittest +import numpy as np +from inference_pass_test import InferencePassTest +import paddle.fluid as fluid +import paddle.fluid.core as core +from paddle.fluid.core import AnalysisConfig +from paddle.fluid.core import PassVersionChecker + + +class ScaleMatmulMkldnnFusePassTest(InferencePassTest): + def setUp(self): + self.set_params() + with fluid.program_guard(self.main_program, self.startup_program): + data = fluid.data( + name="data", shape=[1, 3, 100, 100], dtype="float32") + weight = fluid.layers.create_parameter( + shape=[1, 3, 100, 100], dtype="float32") + scale = fluid.layers.scale(data, scale=self.scale_scale) + matmul = fluid.layers.matmul( + scale, + weight, + transpose_x=self.transpose_x, + transpose_y=self.transpose_y) + + self.fetch_list = [matmul] + self.enable_mkldnn = True + + def set_params(self): + self.feeds = { + "data": np.random.random((1, 3, 100, 100)).astype("float32") + } + self.scale_scale = 2.0 + self.transpose_x = False + self.transpose_y = False + self.pass_name = "scale_matmul_fuse_pass" + + def test_check_output(self): + use_gpu = False + self.check_output_with_option(use_gpu) + + def test_pass_compatible(self): + self.assertTrue(PassVersionChecker.IsCompatible(self.pass_name)) + + +class ScaleMatmulMkldnnFusePassTest_1(ScaleMatmulMkldnnFusePassTest): + def set_params(self): + self.feeds = { + "data": np.random.random((1, 3, 100, 100)).astype("float32") + } + self.scale_scale = 5.0 + self.transpose_x = True + self.transpose_y = True + self.pass_name = "scale_matmul_fuse_pass" + + +if __name__ == "__main__": + unittest.main() diff --git a/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_conv_relu_fuse_pass.py b/python/paddle/fluid/tests/unittests/ir/inference/test_seq_concat_fc_fuse_pass.py similarity index 57% rename from python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_conv_relu_fuse_pass.py rename to python/paddle/fluid/tests/unittests/ir/inference/test_seq_concat_fc_fuse_pass.py index 2346e93d64dce21d9bdd7687bd8d5ed38ff5f188..33f215dafda21c68af3edb6baaeca802edf82c5a 100644 --- a/python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_conv_relu_fuse_pass.py +++ b/python/paddle/fluid/tests/unittests/ir/inference/test_seq_concat_fc_fuse_pass.py @@ -20,25 +20,13 @@ from inference_pass_test import InferencePassTest import paddle.fluid as fluid import paddle.fluid.core as core from paddle.fluid.core import AnalysisConfig +from paddle.fluid.core import PassVersionChecker -class ConvBnFusePassMKLDNNTest(InferencePassTest): - def setUp(self): - with fluid.program_guard(self.main_program, self.startup_program): - data = fluid.data( - name="data", shape=[-1, 3, 100, 100], dtype="float32") - conv_out = fluid.layers.conv2d( - data, num_filters=3, filter_size=3, bias_attr=False, act="relu") - - self.feeds = { - "data": np.random.random((1, 3, 100, 100)).astype("float32") - } - self.fetch_list = [conv_out] - self.enable_mkldnn = True - - def test_check_output(self): - use_gpu = False - self.check_output_with_option(use_gpu) +class SeqConcatFCFusePassTest(InferencePassTest): + def test_compatible(self): + self.assertTrue( + PassVersionChecker.IsCompatible('seq_concat_fc_fuse_pass')) if __name__ == "__main__": diff --git a/python/paddle/fluid/tests/unittests/mkldnn/test_conv2d_bf16_mkldnn_op.py b/python/paddle/fluid/tests/unittests/mkldnn/test_conv2d_bf16_mkldnn_op.py new file mode 100644 index 0000000000000000000000000000000000000000..0ac33383fb26b2a35362e8e39e5994d82d6fe497 --- /dev/null +++ b/python/paddle/fluid/tests/unittests/mkldnn/test_conv2d_bf16_mkldnn_op.py @@ -0,0 +1,208 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function + +import unittest +import numpy as np +import struct + +import paddle.fluid.core as core +from paddle.fluid.tests.unittests.op_test import OpTest, skip_check_grad_ci, convert_float_to_uint16 +from paddle.fluid.tests.unittests.test_conv2d_op import conv2d_forward_naive, TestConv2dOp + + +def conv2d_forward_refer(input, filter, group, conv_param): + out, in_n, out_h, out_w, out_c = conv2d_forward_naive(input, filter, group, + conv_param) + return out + + +def conv2d_residual_naive(out, residual): + assert out.shape == residual.shape + out = np.add(out, residual) + return out + + +class TestConv2dBf16Op(TestConv2dOp): + def setUp(self): + self.op_type = "conv2d" + self.use_cudnn = False + self.exhaustive_search = False + self.use_cuda = False + self.use_mkldnn = True + self.weight_type = np.float32 + self.input_type = np.float32 + self.use_mkldnn = True + self.mkldnn_data_type = "bfloat16" + self.force_fp32_output = False + self.init_group() + self.init_dilation() + self.init_test_case() + self.init_fuse_relu() + self.init_fuse_residual() + self.init_data_type() + self.init_force_fp32_output() + + conv2d_param = { + 'stride': self.stride, + 'pad': self.pad, + 'dilation': self.dilations + } + self.input = np.random.random(self.input_size).astype(np.float32) + self.filter = np.random.random(self.filter_size).astype(np.float32) + conv_out, _, _, _, _ = conv2d_forward_naive(self.input, self.filter, + self.groups, conv2d_param) + self.conv_output_float = conv_out + + if self.fuse_residual: + self.input_residual = np.random.random( + self.input_residual_size).astype(np.float32) + self.conv_output_float = conv2d_residual_naive( + self.conv_output_float, self.input_residual) + self.conv_output = convert_float_to_uint16(self.conv_output_float) + self.outputs = {'Output': self.conv_output} + elif self.force_fp32_output: + self.outputs = {'Output': self.conv_output_float.astype(np.float32)} + + if self.input_type is not np.float32: + self.input = convert_float_to_uint16(self.input) + + self.inputs = { + 'Input': self.input.view(self.input_type), + 'Filter': OpTest.np_dtype_to_fluid_dtype( + self.filter.astype(self.weight_type)) + } + + if self.fuse_residual: + self.inputs['ResidualData'] = OpTest.np_dtype_to_fluid_dtype( + convert_float_to_uint16(self.input_residual)) + + self.attrs = { + 'strides': self.stride, + 'paddings': self.pad, + 'groups': self.groups, + 'dilations': self.dilations, + 'use_cudnn': self.use_cudnn, + 'use_mkldnn': self.use_mkldnn, + 'mkldnn_data_type': self.mkldnn_data_type, + 'force_fp32_output': self.force_fp32_output, + 'fuse_residual_connection': self.fuse_residual + } + + def test_check_output(self): + self.check_output_with_place(core.CPUPlace()) + + def test_check_grad(self): + pass + + def test_check_grad_no_filter(self): + pass + + def test_check_grad_no_input(self): + pass + + def init_test_case(self): + TestConv2dOp.init_test_case(self) + self.input_size = [1, 1, 5, 5] # NCHW + f_c = self.input_size[1] // self.groups + self.input_residual_size = [1, 2, 3, 3] + self.filter_size = [2, f_c, 3, 3] + + def init_data_type(self): + self.weight_type = np.float32 + self.input_type = np.float32 + + def init_force_fp32_output(self): + self.force_fp32_output = False + + def init_fuse_relu(self): + self.fuse_activation = "relu" + + def init_fuse_residual(self): + self.fuse_residual = True + + +class TestConv2d(TestConv2dBf16Op): + def init_test_case(self): + self.pad = [0, 0] + self.stride = [1, 1] + self.input_size = [2, 3, 5, 5] # NCHW + self.input_residual_size = [2, 6, 3, 3] + assert np.mod(self.input_size[1], self.groups) == 0 + f_c = self.input_size[1] // self.groups + self.filter_size = [6, f_c, 3, 3] + + def init_data_type(self): + self.input_type = np.uint16 + + +class TestWithPad(TestConv2d): + def init_test_case(self): + TestConv2d.init_test_case(self) + self.pad = [1, 1] + self.input_residual_size = [2, 6, 5, 5] + + +class TestWithGroup(TestConv2d): + def init_group(self): + self.groups = 3 + + +class TestWithStride(TestConv2dBf16Op): + def init_test_case(self): + self.pad = [1, 1] + self.stride = [2, 2] + self.input_size = [2, 3, 6, 6] + self.input_residual_size = [2, 6, 3, 3] + assert np.mod(self.input_size[1], self.groups) == 0 + f_c = self.input_size[1] // self.groups + self.filter_size = [6, f_c, 3, 3] + + def init_data_type(self): + self.input_type = np.uint16 + + +class TestWith1x1ForceFP32Output(TestConv2dBf16Op): + def init_test_case(self): + self.pad = [0, 0] + self.stride = [1, 1] + self.input_size = [1, 3, 5, 5] + assert np.mod(self.input_size[1], self.groups) == 0 + f_c = self.input_size[1] // self.groups + self.filter_size = [6, f_c, 1, 1] + + def init_force_fp32_output(self): + self.force_fp32_output = True + + def init_fuse_residual(self): + self.fuse_residual = False + + +class TestWithInput1x1Filter1x1(TestConv2dBf16Op): + def init_test_case(self): + self.pad = [0, 0] + self.stride = [1, 1] + self.input_size = [2, 3, 1, 1] + self.input_residual_size = [2, 6, 1, 1] + assert np.mod(self.input_size[1], self.groups) == 0 + f_c = self.input_size[1] // self.groups + self.filter_size = [6, f_c, 1, 1] + + def init_group(self): + self.groups = 3 + + +if __name__ == '__main__': + unittest.main() diff --git a/python/paddle/fluid/tests/unittests/mkldnn/test_conv2d_int8_mkldnn_op.py b/python/paddle/fluid/tests/unittests/mkldnn/test_conv2d_int8_mkldnn_op.py index 7a494e3c2c3040356641d05772c883e15e4579e3..9731efced69d4b53bbb5b57b4d252d9a7a0c4f5a 100644 --- a/python/paddle/fluid/tests/unittests/mkldnn/test_conv2d_int8_mkldnn_op.py +++ b/python/paddle/fluid/tests/unittests/mkldnn/test_conv2d_int8_mkldnn_op.py @@ -36,6 +36,7 @@ class TestConv2dInt8Op(TestConv2dOp): self.use_cuda = False self.use_mkldnn = False self.data_format = "NCHW" + self.mkldnn_data_type = "int8" self.weighttype = np.float32 self.use_mkldnn = True self.init_group() @@ -141,7 +142,8 @@ class TestConv2dInt8Op(TestConv2dOp): 'Scale_weights': self.scale_weights, 'Scale_in_eltwise': self.scale_in_eltwise, 'fuse_activation': self.fuse_activation, - 'fuse_residual_connection': self.fuse_residual + 'fuse_residual_connection': self.fuse_residual, + 'mkldnn_data_type': self.mkldnn_data_type } self.outputs = {'Output': output} diff --git a/python/paddle/fluid/tests/unittests/mkldnn/test_dequantize_mkldnn_op.py b/python/paddle/fluid/tests/unittests/mkldnn/test_dequantize_mkldnn_op.py index 35419462909df1700219fbbe3841e4dbd094e719..70c76f1fb7186fcc983c0378af657d4aae2d2b32 100644 --- a/python/paddle/fluid/tests/unittests/mkldnn/test_dequantize_mkldnn_op.py +++ b/python/paddle/fluid/tests/unittests/mkldnn/test_dequantize_mkldnn_op.py @@ -16,7 +16,7 @@ from __future__ import print_function import unittest import numpy as np -from paddle.fluid.tests.unittests.op_test import OpTest +from paddle.fluid.tests.unittests.op_test import OpTest, convert_float_to_uint16 class TestDeQuantizeOp(OpTest): @@ -32,6 +32,9 @@ class TestDeQuantizeOp(OpTest): input = (np.random.randint(0, 100, self.input_size) - 50 ).astype(self.data_type) output = (input * (1 / self.scale)).astype('float') + elif self.data_type == 'uint16': + output = np.random.random(self.input_size).astype(np.float32) + input = convert_float_to_uint16(output) else: input = (np.random.randint(0, 100, self.input_size)).astype(self.data_type) @@ -70,5 +73,13 @@ class TestDeQuantizeOp2(TestDeQuantizeOp): self.data_type = 'uint8' +class TestDeQuantizeOpBf16(TestDeQuantizeOp): + def set_scale(self): + self.scale = 1.0 + + def set_data_type(self): + self.data_type = 'uint16' + + if __name__ == '__main__': unittest.main() diff --git a/python/paddle/fluid/tests/unittests/op_test.py b/python/paddle/fluid/tests/unittests/op_test.py index a6a4b9574c50e254def870783adbc0a0dc3c3ed8..96efc36ed0a5022ef7e1eae623a0eec02c4dcfef 100644 --- a/python/paddle/fluid/tests/unittests/op_test.py +++ b/python/paddle/fluid/tests/unittests/op_test.py @@ -20,6 +20,7 @@ import warnings import numpy as np import random import six +import struct import time import itertools import collections @@ -167,6 +168,18 @@ def skip_check_grad_ci(reason=None): return wrapper +def copy_bits_from_float_to_uint16(f): + return struct.unpack('> 16 + + +def convert_float_to_uint16(float_list): + new_output = [] + for x in np.nditer(float_list): + new_output.append(np.uint16(copy_bits_from_float_to_uint16(x))) + + return np.reshape(new_output, float_list.shape).view(np.uint16) + + class OpTest(unittest.TestCase): @classmethod def setUpClass(cls): @@ -204,6 +217,9 @@ class OpTest(unittest.TestCase): return False return True + def is_xpu_op_test(): + return hasattr(cls, "use_xpu") and cls.use_xpu == True + def is_mkldnn_op_test(): return hasattr(cls, "use_mkldnn") and cls.use_mkldnn == True @@ -226,6 +242,7 @@ class OpTest(unittest.TestCase): if cls.dtype in [np.float32, np.float64] \ and cls.op_type not in op_accuracy_white_list.NO_FP64_CHECK_GRAD_OP_LIST \ and not hasattr(cls, 'exist_fp64_check_grad') \ + and not is_xpu_op_test() \ and not is_mkldnn_op_test(): raise AssertionError( "This test of %s op needs check_grad with fp64 precision." % @@ -242,6 +259,11 @@ class OpTest(unittest.TestCase): self.call_once = True self.dtype = data_type + def is_bfloat16_op(self): + return self.dtype == np.uint16 or ( + hasattr(self, 'mkldnn_data_type') and + getattr(self, 'mkldnn_data_type') is "bfloat16") + def infer_dtype_from_inputs_outputs(self, inputs, outputs): def is_np_data(input): return isinstance(input, (np.ndarray, np.generic)) @@ -276,8 +298,9 @@ class OpTest(unittest.TestCase): infer_dtype(inputs, dtype_set) dtype_list = [ np.dtype(np.float64), np.dtype(np.float32), np.dtype(np.float16), - np.dtype(np.int64), np.dtype(np.int32), np.dtype(np.int16), - np.dtype(np.int8), np.dtype(np.uint8), np.dtype(np.bool) + np.dtype(np.int64), np.dtype(np.int32), np.dtype(np.uint16), + np.dtype(np.int16), np.dtype(np.int8), np.dtype(np.uint8), + np.dtype(np.bool) ] # check the dtype in dtype_list in order, select the first dtype that in dtype_set for dtype in dtype_list: @@ -317,6 +340,11 @@ class OpTest(unittest.TestCase): self.attrs["use_mkldnn"] == True): self.__class__.use_mkldnn = True + if (hasattr(self, "use_xpu") and self.use_xpu == True) or \ + (hasattr(self, "attrs") and "use_xpu" in self.attrs and \ + self.attrs["use_xpu"] == True): + self.__class__.use_xpu = True + op_proto = OpProtoHolder.instance().get_op_proto(self.op_type) "infer datatype from inputs and outputs for this test case" self.infer_dtype_from_inputs_outputs(self.inputs, self.outputs) @@ -913,6 +941,8 @@ class OpTest(unittest.TestCase): need_run_ops = self._get_need_run_ops(op_desc) res = {} + if hasattr(self, 'attrs') and bool(self.attrs.get('use_xpu', False)): + return for op_desc, father_op_desc in reversed(need_run_ops): # The first one is the forward op has_infer_inplace = fluid.core.has_infer_inplace(op_desc.type()) @@ -957,6 +987,14 @@ class OpTest(unittest.TestCase): self.op_type not in op_threshold_white_list.NEED_FIX_FP64_CHECK_OUTPUT_THRESHOLD_OP_LIST: atol = 0 + if self.is_bfloat16_op(): + check_dygraph = False + if hasattr(self, 'force_fp32_output') and getattr( + self, 'force_fp32_output'): + atol = 1e-2 + else: + atol = 2 + if no_check_set is not None: if self.op_type not in no_check_set_white_list.no_check_set_white_list: raise AssertionError( @@ -1176,6 +1214,11 @@ class OpTest(unittest.TestCase): self.attrs["use_mkldnn"] == True): self.__class__.use_mkldnn = True + if (hasattr(self, "use_xpu") and self.use_xpu == True) or \ + (hasattr(self, "attrs") and "use_xpu" in self.attrs and \ + self.attrs["use_xpu"] == True): + self.__class__.use_xpu = True + places = self._get_places() for place in places: res = self.check_output_with_place(place, atol, no_check_set, @@ -1286,8 +1329,9 @@ class OpTest(unittest.TestCase): no_grad_set = set() else: if (self.op_type not in no_grad_set_white_list.NEED_TO_FIX_OP_LIST - ) and (self.op_type not in - no_grad_set_white_list.NOT_CHECK_OP_LIST): + ) and ( + self.op_type not in no_grad_set_white_list.NOT_CHECK_OP_LIST + ) and (not self.is_bfloat16_op()): raise AssertionError("no_grad_set must be None, op_type is " + self.op_type + " Op.") diff --git a/python/paddle/fluid/tests/unittests/rnn/test_rnn_cells.py b/python/paddle/fluid/tests/unittests/rnn/test_rnn_cells.py index 8d2677229a03f7bdac14a93e176747ba0a5f1d6b..ab1127afa58dd93aa92688eebdf82292990f59b1 100644 --- a/python/paddle/fluid/tests/unittests/rnn/test_rnn_cells.py +++ b/python/paddle/fluid/tests/unittests/rnn/test_rnn_cells.py @@ -47,7 +47,7 @@ class TestSimpleRNNCell(unittest.TestCase): prev_h = np.random.randn(4, 32) y1, h1 = rnn1(x, prev_h) - y2, h2 = rnn2(paddle.to_variable(x), paddle.to_variable(prev_h)) + y2, h2 = rnn2(paddle.to_tensor(x), paddle.to_tensor(prev_h)) np.testing.assert_allclose(h1, h2.numpy(), atol=1e-8, rtol=1e-5) def test_with_zero_state(self): @@ -57,7 +57,7 @@ class TestSimpleRNNCell(unittest.TestCase): x = np.random.randn(4, 16) y1, h1 = rnn1(x) - y2, h2 = rnn2(paddle.to_variable(x)) + y2, h2 = rnn2(paddle.to_tensor(x)) np.testing.assert_allclose(h1, h2.numpy(), atol=1e-8, rtol=1e-5) def runTest(self): @@ -90,7 +90,7 @@ class TestGRUCell(unittest.TestCase): prev_h = np.random.randn(4, 32) y1, h1 = rnn1(x, prev_h) - y2, h2 = rnn2(paddle.to_variable(x), paddle.to_variable(prev_h)) + y2, h2 = rnn2(paddle.to_tensor(x), paddle.to_tensor(prev_h)) np.testing.assert_allclose(h1, h2.numpy(), atol=1e-8, rtol=1e-5) def test_with_zero_state(self): @@ -100,7 +100,7 @@ class TestGRUCell(unittest.TestCase): x = np.random.randn(4, 16) y1, h1 = rnn1(x) - y2, h2 = rnn2(paddle.to_variable(x)) + y2, h2 = rnn2(paddle.to_tensor(x)) np.testing.assert_allclose(h1, h2.numpy(), atol=1e-8, rtol=1e-5) def runTest(self): @@ -134,8 +134,8 @@ class TestLSTMCell(unittest.TestCase): y1, (h1, c1) = rnn1(x, (prev_h, prev_c)) y2, (h2, c2) = rnn2( - paddle.to_variable(x), - (paddle.to_variable(prev_h), paddle.to_variable(prev_c))) + paddle.to_tensor(x), + (paddle.to_tensor(prev_h), paddle.to_tensor(prev_c))) np.testing.assert_allclose(h1, h2.numpy(), atol=1e-8, rtol=1e-5) np.testing.assert_allclose(c1, c2.numpy(), atol=1e-8, rtol=1e-5) @@ -146,7 +146,7 @@ class TestLSTMCell(unittest.TestCase): x = np.random.randn(4, 16) y1, (h1, c1) = rnn1(x) - y2, (h2, c2) = rnn2(paddle.to_variable(x)) + y2, (h2, c2) = rnn2(paddle.to_tensor(x)) np.testing.assert_allclose(h1, h2.numpy(), atol=1e-8, rtol=1e-5) np.testing.assert_allclose(c1, c2.numpy(), atol=1e-8, rtol=1e-5) diff --git a/python/paddle/fluid/tests/unittests/rnn/test_rnn_nets.py b/python/paddle/fluid/tests/unittests/rnn/test_rnn_nets.py index ef297b3bb62497073fd667238cae8a83daaa4967..7c03b51837ef6f7be8021dca55daf3b43f7d3053 100644 --- a/python/paddle/fluid/tests/unittests/rnn/test_rnn_nets.py +++ b/python/paddle/fluid/tests/unittests/rnn/test_rnn_nets.py @@ -53,7 +53,7 @@ class TestSimpleRNN(unittest.TestCase): prev_h = np.random.randn(2 * self.num_directions, 4, 32) y1, h1 = rnn1(x, prev_h) - y2, h2 = rnn2(paddle.to_variable(x), paddle.to_variable(prev_h)) + y2, h2 = rnn2(paddle.to_tensor(x), paddle.to_tensor(prev_h)) np.testing.assert_allclose(y1, y2.numpy(), atol=1e-8, rtol=1e-5) np.testing.assert_allclose(h1, h2.numpy(), atol=1e-8, rtol=1e-5) @@ -66,7 +66,7 @@ class TestSimpleRNN(unittest.TestCase): x = np.transpose(x, [1, 0, 2]) y1, h1 = rnn1(x) - y2, h2 = rnn2(paddle.to_variable(x)) + y2, h2 = rnn2(paddle.to_tensor(x)) np.testing.assert_allclose(y1, y2.numpy(), atol=1e-8, rtol=1e-5) np.testing.assert_allclose(h1, h2.numpy(), atol=1e-8, rtol=1e-5) @@ -81,11 +81,11 @@ class TestSimpleRNN(unittest.TestCase): y1, h1 = rnn1(x, sequence_length=sequence_length) - seq_len = paddle.to_variable(sequence_length) + seq_len = paddle.to_tensor(sequence_length) mask = sequence_mask(seq_len, dtype=paddle.get_default_dtype()) if self.time_major: mask = paddle.transpose(mask, [1, 0]) - y2, h2 = rnn2(paddle.to_variable(x), sequence_length=seq_len) + y2, h2 = rnn2(paddle.to_tensor(x), sequence_length=seq_len) y2 = paddle.multiply(y2, mask, axis=0) np.testing.assert_allclose(y1, y2.numpy(), atol=1e-8, rtol=1e-5) @@ -133,7 +133,7 @@ class TestGRU(unittest.TestCase): prev_h = np.random.randn(2 * self.num_directions, 4, 32) y1, h1 = rnn1(x, prev_h) - y2, h2 = rnn2(paddle.to_variable(x), paddle.to_variable(prev_h)) + y2, h2 = rnn2(paddle.to_tensor(x), paddle.to_tensor(prev_h)) np.testing.assert_allclose(y1, y2.numpy(), atol=1e-8, rtol=1e-5) np.testing.assert_allclose(h1, h2.numpy(), atol=1e-8, rtol=1e-5) @@ -146,7 +146,7 @@ class TestGRU(unittest.TestCase): x = np.transpose(x, [1, 0, 2]) y1, h1 = rnn1(x) - y2, h2 = rnn2(paddle.to_variable(x)) + y2, h2 = rnn2(paddle.to_tensor(x)) np.testing.assert_allclose(y1, y2.numpy(), atol=1e-8, rtol=1e-5) np.testing.assert_allclose(h1, h2.numpy(), atol=1e-8, rtol=1e-5) @@ -161,11 +161,11 @@ class TestGRU(unittest.TestCase): y1, h1 = rnn1(x, sequence_length=sequence_length) - seq_len = paddle.to_variable(sequence_length) + seq_len = paddle.to_tensor(sequence_length) mask = sequence_mask(seq_len, dtype=paddle.get_default_dtype()) if self.time_major: mask = paddle.transpose(mask, [1, 0]) - y2, h2 = rnn2(paddle.to_variable(x), sequence_length=seq_len) + y2, h2 = rnn2(paddle.to_tensor(x), sequence_length=seq_len) y2 = paddle.multiply(y2, mask, axis=0) np.testing.assert_allclose(y1, y2.numpy(), atol=1e-8, rtol=1e-5) @@ -209,8 +209,8 @@ class TestLSTM(unittest.TestCase): y1, (h1, c1) = rnn1(x, (prev_h, prev_c)) y2, (h2, c2) = rnn2( - paddle.to_variable(x), - (paddle.to_variable(prev_h), paddle.to_variable(prev_c))) + paddle.to_tensor(x), + (paddle.to_tensor(prev_h), paddle.to_tensor(prev_c))) np.testing.assert_allclose(y1, y2.numpy(), atol=1e-8, rtol=1e-5) np.testing.assert_allclose(h1, h2.numpy(), atol=1e-8, rtol=1e-5) np.testing.assert_allclose(c1, c2.numpy(), atol=1e-8, rtol=1e-5) @@ -224,7 +224,7 @@ class TestLSTM(unittest.TestCase): x = np.transpose(x, [1, 0, 2]) y1, (h1, c1) = rnn1(x) - y2, (h2, c2) = rnn2(paddle.to_variable(x)) + y2, (h2, c2) = rnn2(paddle.to_tensor(x)) np.testing.assert_allclose(y1, y2.numpy(), atol=1e-8, rtol=1e-5) np.testing.assert_allclose(h1, h2.numpy(), atol=1e-8, rtol=1e-5) np.testing.assert_allclose(c1, c2.numpy(), atol=1e-8, rtol=1e-5) @@ -240,11 +240,11 @@ class TestLSTM(unittest.TestCase): y1, (h1, c1) = rnn1(x, sequence_length=sequence_length) - seq_len = paddle.to_variable(sequence_length) + seq_len = paddle.to_tensor(sequence_length) mask = sequence_mask(seq_len, dtype=paddle.get_default_dtype()) if self.time_major: mask = paddle.transpose(mask, [1, 0]) - y2, (h2, c2) = rnn2(paddle.to_variable(x), sequence_length=seq_len) + y2, (h2, c2) = rnn2(paddle.to_tensor(x), sequence_length=seq_len) y2 = paddle.multiply(y2, mask, axis=0) np.testing.assert_allclose(y1, y2.numpy(), atol=1e-8, rtol=1e-5) diff --git a/python/paddle/fluid/tests/unittests/test_activation_nn_grad.py b/python/paddle/fluid/tests/unittests/test_activation_nn_grad.py index db9e8d2c6bda011bef7c23e7fb51e246137a3906..6c4834b84f91f68f51b65bfc831775966732b36c 100644 --- a/python/paddle/fluid/tests/unittests/test_activation_nn_grad.py +++ b/python/paddle/fluid/tests/unittests/test_activation_nn_grad.py @@ -78,15 +78,17 @@ class TestLeakyReluDoubleGradCheck(unittest.TestCase): class TestELUDoubleGradCheck(unittest.TestCase): @prog_scope() def func(self, place): - shape = [2, 3, 7, 9] + shape = [2, 3, 6, 6] eps = 1e-6 alpha = 1.1 dtype = np.float64 + SEED = 0 x = layers.data('x', shape, False, dtype) x.persistable = True y = layers.elu(x, alpha=alpha) + np.random.RandomState(SEED) x_arr = np.random.uniform(-1, 1, shape).astype(dtype) gradient_checker.double_grad_check( [x], y, x_init=x_arr, place=place, eps=eps) @@ -147,5 +149,53 @@ class TestSquareDoubleGradCheck(unittest.TestCase): self.func(p) +class TestAbsDoubleGradCheck(unittest.TestCase): + @prog_scope() + def func(self, place): + # the shape of input variable should be clearly specified, not inlcude -1. + shape = [2, 3, 7, 9] + eps = 1e-6 + dtype = np.float64 + + x = layers.data('x', shape, False, dtype) + x.persistable = True + y = layers.abs(x) + x_arr = np.random.uniform(-1, 1, shape).astype(dtype) + + gradient_checker.double_grad_check( + [x], y, x_init=x_arr, place=place, eps=eps) + + def test_grad(self): + places = [fluid.CPUPlace()] + if core.is_compiled_with_cuda(): + places.append(fluid.CUDAPlace(0)) + for p in places: + self.func(p) + + +class TestLogDoubleGradCheck(unittest.TestCase): + @prog_scope() + def func(self, place): + shape = [2, 3, 7, 9] + eps = 1e-6 + dtype = np.float64 + + x = layers.data('x', shape, False, dtype) + x.persistable = True + y = layers.log(x) + + x_arr = np.random.uniform(0.1, 1, shape).astype(dtype) + + gradient_checker.double_grad_check( + [x], y, x_init=x_arr, place=place, eps=eps) + + def test_grad(self): + places = [fluid.CPUPlace()] + if core.is_compiled_with_cuda(): + places.append(fluid.CUDAPlace(0)) + for p in places: + self.func(p) + + if __name__ == "__main__": unittest.main() diff --git a/python/paddle/fluid/tests/unittests/test_activation_op.py b/python/paddle/fluid/tests/unittests/test_activation_op.py index f6ba03194aa909279aa2cd884fc575041b01a4cd..ad7539e76e41beaf7afa590f8a0af43a4b3c8b10 100755 --- a/python/paddle/fluid/tests/unittests/test_activation_op.py +++ b/python/paddle/fluid/tests/unittests/test_activation_op.py @@ -28,6 +28,7 @@ from paddle.fluid import compiler, Program, program_guard class TestSqrtOpError(unittest.TestCase): def test_errors(self): + paddle.enable_static() with program_guard(Program(), Program()): # The input type of sqrt op must be Variable or numpy.ndarray. in1 = 1 @@ -44,6 +45,7 @@ class TestSqrtOpError(unittest.TestCase): class TestActivation(OpTest): def setUp(self): + paddle.enable_static() self.op_type = "exp" self.init_dtype() self.init_kernel_type() @@ -71,6 +73,7 @@ class TestActivation(OpTest): class TestParameter(object): def test_out_name(self): + paddle.enable_static() with fluid.program_guard(fluid.Program()): np_x = np.array([0.1]) data = fluid.layers.data(name="X", shape=[1]) @@ -92,6 +95,7 @@ class TestParameter(object): class TestSigmoid(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "sigmoid" self.init_dtype() @@ -112,6 +116,7 @@ class TestSigmoid(TestActivation): class TestLogSigmoid(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "logsigmoid" self.init_dtype() @@ -180,6 +185,7 @@ class TestLogSigmoidAPI(unittest.TestCase): class TestTanh(TestActivation, TestParameter): def setUp(self): + paddle.enable_static() self.op_type = "tanh" self.init_dtype() x = np.random.uniform(0.1, 1, [11, 17]).astype(self.dtype) @@ -222,7 +228,7 @@ class TestTanhAPI(unittest.TestCase): def test_dygraph_api(self): paddle.disable_static(self.place) - x = paddle.to_variable(self.x_np) + x = paddle.to_tensor(self.x_np) out1 = F.tanh(x) out2 = paddle.tanh(x) th = paddle.nn.Tanh() @@ -255,6 +261,7 @@ class TestTanhAPI(unittest.TestCase): class TestAtan(TestActivation, TestParameter): def setUp(self): + paddle.enable_static() self.op_type = "atan" self.init_dtype() @@ -291,6 +298,7 @@ class TestAtan(TestActivation, TestParameter): class TestSinh(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "sinh" self.init_dtype() @@ -349,6 +357,7 @@ class TestSinh(TestActivation): class TestSinhOpError(unittest.TestCase): def test_errors(self): + paddle.enable_static() with program_guard(Program()): # The input type must be Variable. self.assertRaises(TypeError, fluid.layers.sinh, 1) @@ -362,6 +371,7 @@ class TestSinhOpError(unittest.TestCase): class TestCosh(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "cosh" self.init_dtype() @@ -420,6 +430,7 @@ class TestCosh(TestActivation): class TestCoshOpError(unittest.TestCase): def test_errors(self): + paddle.enable_static() with program_guard(Program()): # The input type must be Variable. self.assertRaises(TypeError, fluid.layers.cosh, 1) @@ -438,6 +449,7 @@ def ref_tanhshrink(x): class TestTanhshrink(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "tanh_shrink" self.init_dtype() @@ -512,6 +524,7 @@ def ref_hardshrink(x, threshold): class TestHardShrink(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "hard_shrink" self.init_dtype() @@ -541,6 +554,7 @@ class TestHardShrink_threshold_negative(TestHardShrink): class TestHardShrinkAPI(unittest.TestCase): # test paddle.nn.Hardshrink, paddle.nn.functional.hardshrink def setUp(self): + paddle.enable_static() self.x_np = np.random.uniform(-1, 1, [10, 12]).astype('float32') self.place=paddle.CUDAPlace(0) if core.is_compiled_with_cuda() \ else paddle.CPUPlace() @@ -559,7 +573,7 @@ class TestHardShrinkAPI(unittest.TestCase): def test_dygraph_api(self): paddle.disable_static(self.place) - x = paddle.to_variable(self.x_np) + x = paddle.to_tensor(self.x_np) out1 = F.hardshrink(x) hd = paddle.nn.Hardshrink() out2 = hd(x) @@ -625,7 +639,7 @@ class TestHardtanhAPI(unittest.TestCase): def test_dygraph_api(self): paddle.disable_static(self.place) - x = paddle.to_variable(self.x_np) + x = paddle.to_tensor(self.x_np) out1 = F.hardtanh(x) m = paddle.nn.Hardtanh() out2 = m(x) @@ -662,6 +676,7 @@ def ref_softshrink(x, threshold=0.5): class TestSoftshrink(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "softshrink" self.init_dtype() @@ -736,6 +751,7 @@ class TestSoftshrinkAPI(unittest.TestCase): class TestSqrt(TestActivation, TestParameter): def setUp(self): + paddle.enable_static() self.op_type = "sqrt" self.init_dtype() @@ -753,6 +769,7 @@ class TestSqrt(TestActivation, TestParameter): class TestRsqrt(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "rsqrt" self.init_dtype() @@ -770,6 +787,7 @@ class TestRsqrt(TestActivation): class TestAbs(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "abs" self.init_dtype() @@ -792,6 +810,7 @@ class TestAbs(TestActivation): class TestCeil(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "ceil" self.init_dtype() @@ -808,6 +827,7 @@ class TestCeil(TestActivation): class TestFloor(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "floor" self.init_dtype() @@ -826,6 +846,7 @@ class TestFloor(TestActivation): class TestCos(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "cos" self.init_dtype() @@ -843,6 +864,7 @@ class TestCos(TestActivation): class TestAcos(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "acos" self.init_dtype() @@ -860,6 +882,7 @@ class TestAcos(TestActivation): class TestSin(TestActivation, TestParameter): def setUp(self): + paddle.enable_static() self.op_type = "sin" self.init_dtype() @@ -877,6 +900,7 @@ class TestSin(TestActivation, TestParameter): class TestAsin(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "asin" self.init_dtype() @@ -894,6 +918,7 @@ class TestAsin(TestActivation): class TestRound(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "round" self.init_dtype() @@ -909,6 +934,7 @@ class TestRound(TestActivation): class TestRelu(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "relu" self.init_dtype() @@ -979,6 +1005,7 @@ class TestLeakyRelu(TestActivation): return 0.02 def setUp(self): + paddle.enable_static() self.op_type = "leaky_relu" self.init_dtype() alpha = self.get_alpha() @@ -1036,7 +1063,7 @@ class TestLeakyReluAPI(unittest.TestCase): def test_dygraph_api(self): paddle.disable_static(self.place) - x = paddle.to_variable(self.x_np) + x = paddle.to_tensor(self.x_np) out1 = F.leaky_relu(x) m = paddle.nn.LeakyReLU() out2 = m(x) @@ -1084,6 +1111,7 @@ def gelu(x, approximate): class TestGeluApproximate(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "gelu" self.init_dtype() approximate = True @@ -1102,6 +1130,7 @@ class TestGeluApproximate(TestActivation): class TestGelu(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "gelu" self.init_dtype() approximate = False @@ -1169,6 +1198,7 @@ class TestGELUAPI(unittest.TestCase): class TestBRelu(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "brelu" self.init_dtype() @@ -1194,6 +1224,7 @@ class TestBRelu(TestActivation): class TestBReluOpError(unittest.TestCase): def test_errors(self): + paddle.enable_static() with program_guard(Program()): # The input type must be Variable. self.assertRaises(TypeError, fluid.layers.brelu, 1) @@ -1215,6 +1246,7 @@ def ref_relu6(x, threshold=6.0): class TestRelu6(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "relu6" self.init_dtype() @@ -1286,6 +1318,7 @@ class TestRelu6API(unittest.TestCase): class TestHardSwish(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = 'hard_swish' self.init_dtype() @@ -1310,6 +1343,7 @@ class TestHardSwish(TestActivation): class TestHardSwishOpError(unittest.TestCase): def test_errors(self): + paddle.enable_static() with program_guard(Program()): # The input type must be Variable. self.assertRaises(TypeError, fluid.layers.hard_swish, 1) @@ -1323,6 +1357,7 @@ class TestHardSwishOpError(unittest.TestCase): class TestSoftRelu(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "soft_relu" self.init_dtype() @@ -1348,6 +1383,7 @@ class TestSoftRelu(TestActivation): class TestSoftReluOpError(unittest.TestCase): def test_errors(self): + paddle.enable_static() with program_guard(Program()): # The input type must be Variable. self.assertRaises(TypeError, fluid.layers.soft_relu, 1) @@ -1366,6 +1402,7 @@ def elu(x, alpha): class TestELU(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "elu" self.init_dtype() @@ -1435,6 +1472,7 @@ class TestELUAPI(unittest.TestCase): class TestReciprocal(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "reciprocal" self.init_dtype() @@ -1452,6 +1490,7 @@ class TestReciprocal(TestActivation): class TestLog(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "log" self.init_dtype() @@ -1478,6 +1517,7 @@ class TestLog(TestActivation): class TestLog1p(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "log1p" self.init_dtype() @@ -1522,6 +1562,7 @@ class TestLog1p(TestActivation): class TestSquare(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "square" self.init_dtype() @@ -1539,6 +1580,7 @@ class TestSquare(TestActivation): class TestPow(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "pow" self.init_dtype() @@ -1557,6 +1599,7 @@ class TestPow(TestActivation): class TestPow_factor_tensor(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "pow" self.init_dtype() @@ -1633,6 +1676,7 @@ class TestPow_factor_tensor(TestActivation): class TestSTanh(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "stanh" self.init_dtype() @@ -1653,6 +1697,7 @@ class TestSTanh(TestActivation): class TestSTanhOpError(unittest.TestCase): def test_errors(self): + paddle.enable_static() with program_guard(Program()): # The input type must be Variable. self.assertRaises(TypeError, fluid.layers.stanh, 1) @@ -1673,6 +1718,7 @@ def ref_softplus(x, beta=1, threshold=20): class TestSoftplus(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "softplus" self.init_dtype() @@ -1751,6 +1797,7 @@ def ref_softsign(x): class TestSoftsign(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "softsign" self.init_dtype() @@ -1818,6 +1865,7 @@ class TestSoftsignAPI(unittest.TestCase): class TestThresholdedRelu(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "thresholded_relu" self.init_dtype() @@ -1841,6 +1889,7 @@ class TestThresholdedRelu(TestActivation): class TestThresholdedReluOpError(unittest.TestCase): def test_errors(self): + paddle.enable_static() with program_guard(Program()): # The input type must be Variable. self.assertRaises(TypeError, fluid.layers.thresholded_relu, 1) @@ -1854,6 +1903,7 @@ class TestThresholdedReluOpError(unittest.TestCase): class TestHardSigmoid(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "hard_sigmoid" self.init_dtype() @@ -1883,6 +1933,7 @@ class TestHardSigmoid(TestActivation): class TestHardSigmoidOpError(unittest.TestCase): def test_errors(self): + paddle.enable_static() with program_guard(Program()): # The input type must be Variable. self.assertRaises(TypeError, fluid.layers.hard_sigmoid, 1) @@ -1896,6 +1947,7 @@ class TestHardSigmoidOpError(unittest.TestCase): class TestSwish(TestActivation): def setUp(self): + paddle.enable_static() self.op_type = "swish" self.init_dtype() @@ -1915,6 +1967,7 @@ class TestSwish(TestActivation): class TestSwishOpError(unittest.TestCase): def test_errors(self): + paddle.enable_static() with program_guard(Program()): # The input type must be Variable. self.assertRaises(TypeError, fluid.layers.swish, 1) diff --git a/python/paddle/fluid/tests/unittests/test_adamax_api.py b/python/paddle/fluid/tests/unittests/test_adamax_api.py index 5a33e11d2862c037639b1643a2e44ff81a757053..6d2ec0eefbb1c5157fdbcb5a2e04e97e918a95c9 100644 --- a/python/paddle/fluid/tests/unittests/test_adamax_api.py +++ b/python/paddle/fluid/tests/unittests/test_adamax_api.py @@ -25,7 +25,7 @@ class TestAdamaxAPI(unittest.TestCase): def test_adamax_api_dygraph(self): paddle.disable_static() value = np.arange(26).reshape(2, 13).astype("float32") - a = paddle.to_variable(value) + a = paddle.to_tensor(value) linear = paddle.nn.Linear(13, 5) adam = paddle.optimizer.Adamax( learning_rate=0.01, diff --git a/python/paddle/fluid/tests/unittests/test_adamw_op.py b/python/paddle/fluid/tests/unittests/test_adamw_op.py index cce24b57d2ca50e96e3ae0cf6d8912a8aea79a31..b799508f6b8d57ed59251f95beeafdb720a7299f 100644 --- a/python/paddle/fluid/tests/unittests/test_adamw_op.py +++ b/python/paddle/fluid/tests/unittests/test_adamw_op.py @@ -22,7 +22,7 @@ class TestAdamWOp(unittest.TestCase): def test_adamw_op_dygraph(self): paddle.disable_static() value = np.arange(26).reshape(2, 13).astype("float32") - a = paddle.to_variable(value) + a = paddle.to_tensor(value) linear = paddle.nn.Linear(13, 5) adam = paddle.optimizer.AdamW( learning_rate=0.01, @@ -37,7 +37,7 @@ class TestAdamWOp(unittest.TestCase): def test_adamw_op_coverage(self): paddle.disable_static() value = np.arange(26).reshape(2, 13).astype("float32") - a = paddle.to_variable(value) + a = paddle.to_tensor(value) linear = paddle.nn.Linear(13, 5) adam = paddle.optimizer.AdamW( learning_rate=0.0, diff --git a/python/paddle/fluid/tests/unittests/test_adaptive_avg_pool2d.py b/python/paddle/fluid/tests/unittests/test_adaptive_avg_pool2d.py index e3c70884ebcf116feb4f5b0aa808c71e4b7f8c4e..b8c5bd2949124d622bc61fdae9dc43c34ab717af 100644 --- a/python/paddle/fluid/tests/unittests/test_adaptive_avg_pool2d.py +++ b/python/paddle/fluid/tests/unittests/test_adaptive_avg_pool2d.py @@ -147,7 +147,7 @@ class TestAdaptiveAvgPool2dAPI(unittest.TestCase): if core.is_compiled_with_cuda() else [False]): place = paddle.CUDAPlace(0) if use_cuda else paddle.CPUPlace() paddle.disable_static(place=place) - x = paddle.to_variable(self.x_np) + x = paddle.to_tensor(self.x_np) out_1 = paddle.nn.functional.adaptive_avg_pool2d( x=x, output_size=[3, 3]) @@ -245,7 +245,7 @@ class TestAdaptiveAvgPool2dClassAPI(unittest.TestCase): if core.is_compiled_with_cuda() else [False]): place = paddle.CUDAPlace(0) if use_cuda else paddle.CPUPlace() paddle.disable_static(place=place) - x = paddle.to_variable(self.x_np) + x = paddle.to_tensor(self.x_np) adaptive_avg_pool = paddle.nn.AdaptiveAvgPool2d(output_size=[3, 3]) out_1 = adaptive_avg_pool(x=x) diff --git a/python/paddle/fluid/tests/unittests/test_adaptive_avg_pool3d.py b/python/paddle/fluid/tests/unittests/test_adaptive_avg_pool3d.py index a3c9dd91a69ea83b08c3f817403620460333b5e9..bb36aaebf08421d1bf97775bc73fd30288e95eeb 100755 --- a/python/paddle/fluid/tests/unittests/test_adaptive_avg_pool3d.py +++ b/python/paddle/fluid/tests/unittests/test_adaptive_avg_pool3d.py @@ -162,7 +162,7 @@ class TestAdaptiveAvgPool3dAPI(unittest.TestCase): if core.is_compiled_with_cuda() else [False]): place = paddle.CUDAPlace(0) if use_cuda else paddle.CPUPlace() paddle.disable_static(place=place) - x = paddle.to_variable(self.x_np) + x = paddle.to_tensor(self.x_np) out_1 = paddle.nn.functional.adaptive_avg_pool3d( x=x, output_size=[3, 3, 3]) @@ -262,7 +262,7 @@ class TestAdaptiveAvgPool3dClassAPI(unittest.TestCase): if core.is_compiled_with_cuda() else [False]): place = paddle.CUDAPlace(0) if use_cuda else paddle.CPUPlace() paddle.disable_static(place=place) - x = paddle.to_variable(self.x_np) + x = paddle.to_tensor(self.x_np) adaptive_avg_pool = paddle.nn.AdaptiveAvgPool3d( output_size=[3, 3, 3]) diff --git a/python/paddle/fluid/tests/unittests/test_adaptive_max_pool2d.py b/python/paddle/fluid/tests/unittests/test_adaptive_max_pool2d.py index d78788eb1e7c63be485210780db25e1de6fd84b4..dfa6f3226c8ce06e2f22ee6690fbf1df12b649d0 100644 --- a/python/paddle/fluid/tests/unittests/test_adaptive_max_pool2d.py +++ b/python/paddle/fluid/tests/unittests/test_adaptive_max_pool2d.py @@ -147,7 +147,7 @@ class TestAdaptiveMaxPool2dAPI(unittest.TestCase): if core.is_compiled_with_cuda() else [False]): place = paddle.CUDAPlace(0) if use_cuda else paddle.CPUPlace() paddle.disable_static(place=place) - x = paddle.to_variable(self.x_np) + x = paddle.to_tensor(self.x_np) out_1 = paddle.nn.functional.adaptive_max_pool2d( x=x, return_indices=False, output_size=[3, 3]) @@ -240,7 +240,7 @@ class TestAdaptiveMaxPool2dClassAPI(unittest.TestCase): if core.is_compiled_with_cuda() else [False]): place = paddle.CUDAPlace(0) if use_cuda else paddle.CPUPlace() paddle.disable_static(place=place) - x = paddle.to_variable(self.x_np) + x = paddle.to_tensor(self.x_np) adaptive_max_pool = paddle.nn.AdaptiveMaxPool2d(output_size=[3, 3]) out_1 = adaptive_max_pool(x=x) diff --git a/python/paddle/fluid/tests/unittests/test_adaptive_max_pool3d.py b/python/paddle/fluid/tests/unittests/test_adaptive_max_pool3d.py index a7de0a5c6a7017617124b893313e0f9830cc09f9..1fa703688cdd932f7121ae870fc26f16fda5d815 100755 --- a/python/paddle/fluid/tests/unittests/test_adaptive_max_pool3d.py +++ b/python/paddle/fluid/tests/unittests/test_adaptive_max_pool3d.py @@ -162,7 +162,7 @@ class TestAdaptiveMaxPool3dAPI(unittest.TestCase): if core.is_compiled_with_cuda() else [False]): place = paddle.CUDAPlace(0) if use_cuda else paddle.CPUPlace() paddle.disable_static(place=place) - x = paddle.to_variable(self.x_np) + x = paddle.to_tensor(self.x_np) out_1 = paddle.nn.functional.adaptive_max_pool3d( x=x, output_size=[3, 3, 3]) @@ -257,7 +257,7 @@ class TestAdaptiveMaxPool3dClassAPI(unittest.TestCase): if core.is_compiled_with_cuda() else [False]): place = paddle.CUDAPlace(0) if use_cuda else paddle.CPUPlace() paddle.disable_static(place=place) - x = paddle.to_variable(self.x_np) + x = paddle.to_tensor(self.x_np) adaptive_max_pool = paddle.nn.AdaptiveMaxPool3d( output_size=[3, 3, 3]) diff --git a/python/paddle/fluid/tests/unittests/test_addmm_op.py b/python/paddle/fluid/tests/unittests/test_addmm_op.py index 6e66c0c0029accdcdf81ae67dff1a49e3e8867d4..6238d7dd4a1f4574fa1fabf5d531db6d4a64df09 100644 --- a/python/paddle/fluid/tests/unittests/test_addmm_op.py +++ b/python/paddle/fluid/tests/unittests/test_addmm_op.py @@ -244,9 +244,9 @@ class TestAddMMAPI(unittest.TestCase): def test_error1(): data_x_wrong = np.ones((2, 3)).astype(np.float32) - x = paddle.to_variable(data_x_wrong) - y = paddle.to_variable(data_y) - input = paddle.to_variable(data_input) + x = paddle.to_tensor(data_x_wrong) + y = paddle.to_tensor(data_y) + input = paddle.to_tensor(data_input) out = paddle.tensor.addmm( input=input, x=x, y=y, beta=0.5, alpha=5.0 ) self.assertRaises(ValueError, test_error1) ''' diff --git a/python/paddle/fluid/tests/unittests/test_arange.py b/python/paddle/fluid/tests/unittests/test_arange.py index 29003d28e441c02e040a8d6cb9888e376521bc72..d62c08b072b10b025e885ada1af0eb97817cab80 100644 --- a/python/paddle/fluid/tests/unittests/test_arange.py +++ b/python/paddle/fluid/tests/unittests/test_arange.py @@ -98,9 +98,9 @@ class TestArangeImperative(unittest.TestCase): x2 = paddle.tensor.arange(5) x3 = paddle.tensor.creation.arange(5) - start = paddle.to_variable(np.array([0], 'float32')) - end = paddle.to_variable(np.array([5], 'float32')) - step = paddle.to_variable(np.array([1], 'float32')) + start = paddle.to_tensor(np.array([0], 'float32')) + end = paddle.to_tensor(np.array([5], 'float32')) + step = paddle.to_tensor(np.array([1], 'float32')) x4 = paddle.arange(start, end, step, 'int64') paddle.enable_static() diff --git a/python/paddle/fluid/tests/unittests/test_buffer_shared_memory_reuse_pass.py b/python/paddle/fluid/tests/unittests/test_buffer_shared_memory_reuse_pass.py index 2c9168df472f493a16c19ad1b121ec0d126b6306..9dd617f90b65d4a1960ceaa30762cd8c20e9db09 100644 --- a/python/paddle/fluid/tests/unittests/test_buffer_shared_memory_reuse_pass.py +++ b/python/paddle/fluid/tests/unittests/test_buffer_shared_memory_reuse_pass.py @@ -115,8 +115,15 @@ class InplaceTestBase(unittest.TestCase): fetch_val2, = exe.run(compiled_prog, feed=feed_dict, fetch_list=[fetch_var]) - - self.assertTrue(np.array_equal(fetch_val1, fetch_val2)) + #NOTE(zhiqiu): Temporally changed from array_equal to allclose. + # The real root is fuse_all_reduce and fuse_all_optimizer_opss may + # result in diff because of the instruction set on the virtual machine. + # And the related unit tests: test_fuse_all_reduce_pass and test_fuse_optimizer_pass use "almostEqual" in their checks. + # There are also some related issues: + # https://github.com/PaddlePaddle/Paddle/issues/21270 + # https://github.com/PaddlePaddle/Paddle/issues/21046 + # https://github.com/PaddlePaddle/Paddle/issues/21045 + self.assertTrue(np.allclose(fetch_val1, fetch_val2)) def check_multi_card_fetch_var(self): if self.is_invalid_test(): @@ -160,7 +167,8 @@ class InplaceTestBase(unittest.TestCase): fetch_vals.append(fetch_val) for item in fetch_vals: - self.assertTrue(np.array_equal(fetch_vals[0], item)) + # save above + self.assertTrue(np.allclose(fetch_vals[0], item)) class CUDAInplaceTest(InplaceTestBase): diff --git a/python/paddle/fluid/tests/unittests/test_cholesky_op.py b/python/paddle/fluid/tests/unittests/test_cholesky_op.py index ab08a0aacbf08768ffff43974ee9a7c7dd4a7288..2fcec657c1404d86354e8a43ea8ac81cfc6947ac 100644 --- a/python/paddle/fluid/tests/unittests/test_cholesky_op.py +++ b/python/paddle/fluid/tests/unittests/test_cholesky_op.py @@ -96,7 +96,7 @@ class TestDygraph(unittest.TestCase): a = np.random.rand(3, 3) a_t = np.transpose(a, [1, 0]) x_data = np.matmul(a, a_t) + 1e-03 - x = paddle.to_variable(x_data) + x = paddle.to_tensor(x_data) out = paddle.cholesky(x, upper=False) diff --git a/python/paddle/fluid/tests/unittests/test_clip_op.py b/python/paddle/fluid/tests/unittests/test_clip_op.py index b56d9f6668e8bcbd37443fb88b1f5f4dd40a2511..2946798a82f78fc55adb6ff0bb3c7f9721a6d60f 100644 --- a/python/paddle/fluid/tests/unittests/test_clip_op.py +++ b/python/paddle/fluid/tests/unittests/test_clip_op.py @@ -168,9 +168,9 @@ class TestClipAPI(unittest.TestCase): paddle.disable_static(place) data_shape = [1, 9, 9, 4] data = np.random.random(data_shape).astype('float32') - images = paddle.to_variable(data, dtype='float32') - v_min = paddle.to_variable(np.array([0.2], dtype=np.float32)) - v_max = paddle.to_variable(np.array([0.8], dtype=np.float32)) + images = paddle.to_tensor(data, dtype='float32') + v_min = paddle.to_tensor(np.array([0.2], dtype=np.float32)) + v_max = paddle.to_tensor(np.array([0.8], dtype=np.float32)) out_1 = paddle.clip(images, min=0.2, max=0.8) out_2 = paddle.clip(images, min=0.2, max=0.9) diff --git a/python/paddle/fluid/tests/unittests/test_communicator_geo.py b/python/paddle/fluid/tests/unittests/test_communicator_geo.py index 5916000fba79fc0da2ef545beac634a3edfe01df..f625e1de4a3e0564037d71e2393f5914415917d9 100644 --- a/python/paddle/fluid/tests/unittests/test_communicator_geo.py +++ b/python/paddle/fluid/tests/unittests/test_communicator_geo.py @@ -113,6 +113,7 @@ class TestCommunicatorGeoEnd2End(unittest.TestCase): strategy = paddle.distributed.fleet.DistributedStrategy() strategy.a_sync = True strategy.a_sync_configs = {"k_steps": 100} + strategy.a_sync_configs = {"launch_barrier": False} if training_role == "TRAINER": self.run_trainer(role, strategy) diff --git a/python/paddle/fluid/tests/unittests/test_communicator_sync.py b/python/paddle/fluid/tests/unittests/test_communicator_sync.py index 95b209b14602676a089a667b0a720056bbe1562b..78e2050d3b48edc4a2bd0195a371a6b34afb7b1e 100644 --- a/python/paddle/fluid/tests/unittests/test_communicator_sync.py +++ b/python/paddle/fluid/tests/unittests/test_communicator_sync.py @@ -51,6 +51,7 @@ class TestCommunicator(unittest.TestCase): strategy = paddle.distributed.fleet.DistributedStrategy() strategy.a_sync = False + strategy.a_sync_configs = {"launch_barrier": False} optimizer = fleet.distributed_optimizer(optimizer, strategy) optimizer.minimize(avg_cost) diff --git a/python/paddle/fluid/tests/unittests/test_concat_op.py b/python/paddle/fluid/tests/unittests/test_concat_op.py index b4dbba7eead397c46c37a8df013dabb00177f030..14c10e7aa2022e2963b0dbb973cefb1793be842f 100644 --- a/python/paddle/fluid/tests/unittests/test_concat_op.py +++ b/python/paddle/fluid/tests/unittests/test_concat_op.py @@ -285,9 +285,9 @@ class TestConcatAPI(unittest.TestCase): in2 = np.array([[11, 12, 13], [14, 15, 16]]) in3 = np.array([[21, 22], [23, 24]]) paddle.disable_static() - x1 = paddle.to_variable(in1) - x2 = paddle.to_variable(in2) - x3 = paddle.to_variable(in3) + x1 = paddle.to_tensor(in1) + x2 = paddle.to_tensor(in2) + x3 = paddle.to_tensor(in3) out1 = fluid.layers.concat(input=[x1, x2, x3], axis=-1) out2 = paddle.concat(x=[x1, x2], axis=0) np_out1 = np.concatenate([in1, in2, in3], axis=-1) diff --git a/python/paddle/fluid/tests/unittests/test_cosine_similarity_api.py b/python/paddle/fluid/tests/unittests/test_cosine_similarity_api.py index 1e25613fa63da440f71f23841095f153e61735e9..a8899d9f022c0961e5bce9c25e0b23cd7658f256 100644 --- a/python/paddle/fluid/tests/unittests/test_cosine_similarity_api.py +++ b/python/paddle/fluid/tests/unittests/test_cosine_similarity_api.py @@ -75,8 +75,8 @@ class TestCosineSimilarityAPI(unittest.TestCase): np_x2 = np.random.rand(*shape).astype(np.float32) np_out = self._get_numpy_out(np_x1, np_x2, axis=axis, eps=eps) - tesnor_x1 = paddle.to_variable(np_x1) - tesnor_x2 = paddle.to_variable(np_x2) + tesnor_x1 = paddle.to_tensor(np_x1) + tesnor_x2 = paddle.to_tensor(np_x2) y = F.cosine_similarity(tesnor_x1, tesnor_x2, axis=axis, eps=eps) self.assertTrue(np.allclose(y.numpy(), np_out)) @@ -92,8 +92,8 @@ class TestCosineSimilarityAPI(unittest.TestCase): np_x2 = np.random.rand(*shape).astype(np.float32) np_out = self._get_numpy_out(np_x1, np_x2, axis=axis, eps=eps) - tesnor_x1 = paddle.to_variable(np_x1) - tesnor_x2 = paddle.to_variable(np_x2) + tesnor_x1 = paddle.to_tensor(np_x1) + tesnor_x2 = paddle.to_tensor(np_x2) y = F.cosine_similarity(tesnor_x1, tesnor_x2, axis=axis, eps=eps) self.assertTrue(np.allclose(y.numpy(), np_out)) @@ -110,8 +110,8 @@ class TestCosineSimilarityAPI(unittest.TestCase): np_x2 = np.random.rand(*shape2).astype(np.float32) np_out = self._get_numpy_out(np_x1, np_x2, axis=axis, eps=eps) - tesnor_x1 = paddle.to_variable(np_x1) - tesnor_x2 = paddle.to_variable(np_x2) + tesnor_x1 = paddle.to_tensor(np_x1) + tesnor_x2 = paddle.to_tensor(np_x2) y = F.cosine_similarity(tesnor_x1, tesnor_x2, axis=axis, eps=eps) self.assertTrue(np.allclose(y.numpy(), np_out)) @@ -129,8 +129,8 @@ class TestCosineSimilarityAPI(unittest.TestCase): np_out = self._get_numpy_out(np_x1, np_x2, axis=axis, eps=eps) cos_sim_func = nn.CosineSimilarity(axis=axis, eps=eps) - tesnor_x1 = paddle.to_variable(np_x1) - tesnor_x2 = paddle.to_variable(np_x2) + tesnor_x1 = paddle.to_tensor(np_x1) + tesnor_x2 = paddle.to_tensor(np_x2) y = cos_sim_func(tesnor_x1, tesnor_x2) self.assertTrue(np.allclose(y.numpy(), np_out)) diff --git a/python/paddle/fluid/tests/unittests/test_cumsum_op.py b/python/paddle/fluid/tests/unittests/test_cumsum_op.py index ad121fac8cc045e67cf116d2cf9cedd6ac9bef99..818e15bb319b10a1ffa6850874a26f412422b574 100644 --- a/python/paddle/fluid/tests/unittests/test_cumsum_op.py +++ b/python/paddle/fluid/tests/unittests/test_cumsum_op.py @@ -21,13 +21,12 @@ import paddle import paddle.fluid.core as core import paddle.fluid as fluid from paddle.fluid import compiler, Program, program_guard -from paddle import to_variable class TestCumsumOp(unittest.TestCase): def run_cases(self): data_np = np.arange(12).reshape(3, 4) - data = to_variable(data_np) + data = paddle.to_tensor(data_np) y = paddle.cumsum(data) z = np.cumsum(data_np) diff --git a/python/paddle/fluid/tests/unittests/test_data.py b/python/paddle/fluid/tests/unittests/test_data.py index 8070148f8b36dd7dab7711abaf25994acebc7e6f..98739f6e1631e5ebd5fc8da45647118be8c05f6f 100644 --- a/python/paddle/fluid/tests/unittests/test_data.py +++ b/python/paddle/fluid/tests/unittests/test_data.py @@ -99,5 +99,17 @@ class TestApiStaticDataError(unittest.TestCase): self.assertRaises(TypeError, test_shape_type) +class TestApiErrorWithDynamicMode(unittest.TestCase): + def test_error(self): + with program_guard(Program(), Program()): + paddle.disable_static() + self.assertRaises(AssertionError, fluid.data, 'a', [2, 25]) + self.assertRaises( + AssertionError, fluid.layers.data, 'b', shape=[2, 25]) + self.assertRaises( + AssertionError, paddle.static.data, 'c', shape=[2, 25]) + paddle.enable_static() + + if __name__ == "__main__": unittest.main() diff --git a/python/paddle/fluid/tests/unittests/test_dataset_sentiment.py b/python/paddle/fluid/tests/unittests/test_dataset_sentiment.py deleted file mode 100644 index b5d5d33fa3fc32a054c23c80d471ce70dd745d08..0000000000000000000000000000000000000000 --- a/python/paddle/fluid/tests/unittests/test_dataset_sentiment.py +++ /dev/null @@ -1,42 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" -TestCases for Dataset, -including create, config, run, etc. -""" - -from __future__ import print_function -import numpy as np -import unittest -import os -import paddle -import zipfile -import paddle.dataset.common - -URL = "https://corpora.bj.bcebos.com/movie_reviews%2Fmovie_reviews.zip" -MD5 = '155de2b77c6834dd8eea7cbe88e93acb' - - -class TestDatasetSentiment(unittest.TestCase): - """ TestCases for Sentiment. """ - - def test_get_word_dict(self): - """ Testcase for get_word_dict. """ - words_freq_sorted = paddle.dataset.sentiment.get_word_dict() - print(words_freq_sorted) - self.assertTrue(len(words_freq_sorted) == 39768) - - -if __name__ == '__main__': - unittest.main() diff --git a/python/paddle/fluid/tests/unittests/test_default_dtype.py b/python/paddle/fluid/tests/unittests/test_default_dtype.py index 057933fc7a735c2732cd651e83e99ddfa747b8a8..29ca9a93985977936d1c99d1587d615c67524136 100644 --- a/python/paddle/fluid/tests/unittests/test_default_dtype.py +++ b/python/paddle/fluid/tests/unittests/test_default_dtype.py @@ -20,7 +20,6 @@ import paddle import paddle.fluid as fluid from paddle.fluid.dygraph import Linear import paddle.fluid.core as core -from paddle import to_variable class TestDefaultType(unittest.TestCase): diff --git a/python/paddle/fluid/tests/unittests/test_deprecated_decorator.py b/python/paddle/fluid/tests/unittests/test_deprecated_decorator.py index 2a80e20d692c88497e7edccd6eca5509e3522871..97b6594eb382507ccbbb8b6bfad8e5631d534010 100755 --- a/python/paddle/fluid/tests/unittests/test_deprecated_decorator.py +++ b/python/paddle/fluid/tests/unittests/test_deprecated_decorator.py @@ -72,6 +72,7 @@ class TestDeprecatedDocorator(unittest.TestCase): test old fluid elementwise_mul api, it should fire Warinng function, which insert the Warinng info on top of API's doc string. """ + paddle.enable_static() # Initialization x = fluid.data(name='x', shape=[3, 2, 1], dtype='float32') @@ -80,6 +81,7 @@ class TestDeprecatedDocorator(unittest.TestCase): # captured captured = get_warning_index(fluid.data) + paddle.disable_static() # testting self.assertGreater(expected, captured) diff --git a/python/paddle/fluid/tests/unittests/test_diag.py b/python/paddle/fluid/tests/unittests/test_diag.py index 780d57b53310bb5f385a131d4ad52dd6f5e695f0..ddf1240e4ef27775a24cee540c5f193399112270 100644 --- a/python/paddle/fluid/tests/unittests/test_diag.py +++ b/python/paddle/fluid/tests/unittests/test_diag.py @@ -119,6 +119,16 @@ class TestDiagV2API(unittest.TestCase): (n, n)) + np.diag(self.input_np3, self.offset) - np.diag( self.padding_value * np.ones(n)) + self.input_np4 = np.random.random(size=(2000, 2000)).astype(np.float32) + self.expected6 = np.diag(self.input_np4) + self.expected7 = np.diag(self.input_np4, k=1) + self.expected8 = np.diag(self.input_np4, k=-1) + + self.input_np5 = np.random.random(size=(2000)).astype(np.float32) + self.expected9 = np.diag(self.input_np5) + self.expected10 = np.diag(self.input_np5, k=1) + self.expected11 = np.diag(self.input_np5, k=-1) + def run_imperative(self): x = paddle.to_tensor(self.input_np) y = paddle.diag(x) @@ -141,10 +151,32 @@ class TestDiagV2API(unittest.TestCase): y = paddle.diag(x, padding_value=-8) self.assertTrue(np.allclose(y.numpy(), self.expected5)) + x = paddle.to_tensor(self.input_np4) + y = paddle.diag(x) + self.assertTrue(np.allclose(y.numpy(), self.expected6)) + + y = paddle.diag(x, offset=1) + self.assertTrue(np.allclose(y.numpy(), self.expected7)) + + y = paddle.diag(x, offset=-1) + self.assertTrue(np.allclose(y.numpy(), self.expected8)) + + x = paddle.to_tensor(self.input_np5) + y = paddle.diag(x) + self.assertTrue(np.allclose(y.numpy(), self.expected9)) + + y = paddle.diag(x, offset=1) + self.assertTrue(np.allclose(y.numpy(), self.expected10)) + + y = paddle.diag(x, offset=-1) + self.assertTrue(np.allclose(y.numpy(), self.expected11)) + def run_static(self, use_gpu=False): x = paddle.data(name='input', shape=[10, 10], dtype='float32') x2 = paddle.data(name='input2', shape=[100], dtype='float64') x3 = paddle.data(name='input3', shape=[100], dtype='int64') + x4 = paddle.data(name='input4', shape=[2000, 2000], dtype='float32') + x5 = paddle.data(name='input5', shape=[2000], dtype='float32') result0 = paddle.diag(x) result1 = paddle.diag(x, offset=1) result2 = paddle.diag(x, offset=-1) @@ -152,17 +184,28 @@ class TestDiagV2API(unittest.TestCase): result4 = paddle.diag(x2, padding_value=8) result5 = paddle.diag(x3, padding_value=8.0) result6 = paddle.diag(x3, padding_value=-8) + result7 = paddle.diag(x4) + result8 = paddle.diag(x4, offset=1) + result9 = paddle.diag(x4, offset=-1) + result10 = paddle.diag(x5) + result11 = paddle.diag(x5, offset=1) + result12 = paddle.diag(x5, offset=-1) place = fluid.CUDAPlace(0) if use_gpu else fluid.CPUPlace() exe = fluid.Executor(place) exe.run(fluid.default_startup_program()) - res0, res1, res2, res4, res5, res6 = exe.run( + res0, res1, res2, res4, res5, res6, res7, res8, res9, res10, res11, res12 = exe.run( feed={ "input": self.input_np, "input2": self.input_np2, - 'input3': self.input_np3 + 'input3': self.input_np3, + 'input4': self.input_np4, + 'input5': self.input_np5 }, - fetch_list=[result0, result1, result2, result4, result5, result6]) + fetch_list=[ + result0, result1, result2, result4, result5, result6, result7, + result8, result9, result10, result11, result12 + ]) self.assertTrue(np.allclose(res0, self.expected0)) self.assertTrue(np.allclose(res1, self.expected1)) @@ -171,6 +214,12 @@ class TestDiagV2API(unittest.TestCase): self.assertTrue(np.allclose(res4, self.expected3)) self.assertTrue(np.allclose(res5, self.expected4)) self.assertTrue(np.allclose(res6, self.expected5)) + self.assertTrue(np.allclose(res7, self.expected6)) + self.assertTrue(np.allclose(res8, self.expected7)) + self.assertTrue(np.allclose(res9, self.expected8)) + self.assertTrue(np.allclose(res10, self.expected9)) + self.assertTrue(np.allclose(res11, self.expected10)) + self.assertTrue(np.allclose(res12, self.expected11)) def test_cpu(self): paddle.disable_static(place=paddle.fluid.CPUPlace()) diff --git a/python/paddle/fluid/tests/unittests/test_directory_migration.py b/python/paddle/fluid/tests/unittests/test_directory_migration.py index 529fff158c55fc30248b9f5a88c8c615a8b55c79..2f35b45aa670c1d8e2caa7fe2ecf4e06b9884899 100644 --- a/python/paddle/fluid/tests/unittests/test_directory_migration.py +++ b/python/paddle/fluid/tests/unittests/test_directory_migration.py @@ -36,7 +36,7 @@ class TestDirectory(unittest.TestCase): def test_new_directory(self): new_directory = [ 'paddle.enable_static', 'paddle.disable_static', - 'paddle.in_dynamic_mode', 'paddle.to_variable', 'paddle.grad', + 'paddle.in_dynamic_mode', 'paddle.to_tensor', 'paddle.grad', 'paddle.no_grad', 'paddle.save', 'paddle.load', 'paddle.static.save', 'paddle.static.load', 'paddle.distributed.ParallelEnv', diff --git a/python/paddle/fluid/tests/unittests/test_dist_fleet_a_sync_optimizer_async.py b/python/paddle/fluid/tests/unittests/test_dist_fleet_a_sync_optimizer_async.py index 7f55e956a94aee79dda07762e953e71807899bff..845be6eda6e0d972ed98535fc987f459e4e8d702 100644 --- a/python/paddle/fluid/tests/unittests/test_dist_fleet_a_sync_optimizer_async.py +++ b/python/paddle/fluid/tests/unittests/test_dist_fleet_a_sync_optimizer_async.py @@ -52,6 +52,7 @@ class TestFleetGradientMergeMetaOptimizer(unittest.TestCase): strategy = paddle.distributed.fleet.DistributedStrategy() strategy.a_sync = True + strategy.a_sync_configs = {"launch_barrier": False} optimizer = paddle.fluid.optimizer.SGD(learning_rate=0.01) optimizer = fleet.distributed_optimizer(optimizer, strategy=strategy) optimizer.minimize(avg_cost) @@ -92,6 +93,7 @@ class TestFleetGradientMergeMetaOptimizer(unittest.TestCase): strategy = paddle.distributed.fleet.DistributedStrategy() strategy.a_sync = True + strategy.a_sync_configs = {"launch_barrier": False} optimizer = paddle.fluid.optimizer.SGD(learning_rate=0.01) optimizer = fleet.distributed_optimizer(optimizer, strategy=strategy) optimizer.minimize(avg_cost) diff --git a/python/paddle/fluid/tests/unittests/test_dist_fleet_a_sync_optimizer_sync.py b/python/paddle/fluid/tests/unittests/test_dist_fleet_a_sync_optimizer_sync.py index db3f2afb3668bc1831286f8d13b274895e7632fd..668b4ad872f43c65c47f75a8af016a6c6af58513 100644 --- a/python/paddle/fluid/tests/unittests/test_dist_fleet_a_sync_optimizer_sync.py +++ b/python/paddle/fluid/tests/unittests/test_dist_fleet_a_sync_optimizer_sync.py @@ -44,6 +44,7 @@ class TestFleetGradientMergeMetaOptimizer(unittest.TestCase): strategy = paddle.distributed.fleet.DistributedStrategy() strategy.a_sync = False + strategy.a_sync_configs = {"launch_barrier": False} optimizer = paddle.fluid.optimizer.SGD(learning_rate=0.01) optimizer = fleet.distributed_optimizer(optimizer, strategy=strategy) optimizer.minimize(avg_cost) diff --git a/python/paddle/fluid/tests/unittests/test_dist_fleet_base.py b/python/paddle/fluid/tests/unittests/test_dist_fleet_base.py index 3a923dbf3f72e28c64c3f01d22d4d6f2d897f79b..195b3f8de0a40011e3da5ddfa6d633daaa90fc1c 100644 --- a/python/paddle/fluid/tests/unittests/test_dist_fleet_base.py +++ b/python/paddle/fluid/tests/unittests/test_dist_fleet_base.py @@ -34,8 +34,7 @@ import unittest import paddle import paddle.fluid as fluid import paddle.distributed.fleet.base.role_maker as role_maker -from paddle.distributed.fleet.base.util_factory import fleet_util -from paddle.distributed.fleet import fleet +import paddle.distributed.fleet as fleet from paddle.fluid.incubate.fleet.parameter_server.distribute_transpiler.distributed_strategy import StrategyFactory __all__ = ['FleetDistRunnerBase', 'TestFleetBase', 'runtime_main'] @@ -97,7 +96,7 @@ class FleetDistRunnerBase(object): self.dump_fields_path = os.getenv("dump_fields_path", "") debug = int(os.getenv("Debug", "0")) # TODO(update strategy to support dump params) - if False: #debug: + if False: # debug: self.strategy.set_debug_opt({ "dump_param": self.dump_param, "dump_fields": self.dump_fields, @@ -313,9 +312,6 @@ class TestFleetBase(unittest.TestCase): "========================Error tr1_err end===========================" ) - self.assertEqual(tr0_ret, 0, "something wrong in tr0, please check") - self.assertEqual(tr1_ret, 0, "something wrong in tr1, please check") - # close trainer file tr0_pipe.close() tr1_pipe.close() @@ -326,6 +322,8 @@ class TestFleetBase(unittest.TestCase): ps1.terminate() shutil.rmtree(gloo_path) + self.assertEqual(tr0_ret, 0, "something wrong in tr0, please check") + self.assertEqual(tr1_ret, 0, "something wrong in tr1, please check") return 0, 0 def check_with_place(self, @@ -372,8 +370,6 @@ def runtime_main(test_class): strategy = model.build_strategy(args) avg_cost = model.net(args) model.build_optimizer(avg_cost, strategy) - fleet_util._set_strategy(strategy) - fleet_util._set_role_maker(role) if args.role == "pserver": model.run_pserver(args) else: diff --git a/python/paddle/fluid/tests/unittests/test_dist_fleet_heter_base.py b/python/paddle/fluid/tests/unittests/test_dist_fleet_heter_base.py index 4d744c8299f484fd60a081adb1b3b9eb2834ddef..6c5a1d6e36c2549d5e3549f81f26d5ffcca3a247 100644 --- a/python/paddle/fluid/tests/unittests/test_dist_fleet_heter_base.py +++ b/python/paddle/fluid/tests/unittests/test_dist_fleet_heter_base.py @@ -34,8 +34,7 @@ import unittest import paddle import paddle.fluid as fluid import paddle.distributed.fleet.base.role_maker as role_maker -from paddle.distributed.fleet.base.util_factory import fleet_util -from paddle.distributed.fleet import fleet +import paddle.distributed.fleet as fleet __all__ = ['FleetDistHeterRunnerBase', 'TestFleetHeterBase', 'runtime_main'] @@ -82,7 +81,7 @@ class FleetDistHeterRunnerBase(object): def build_strategy(self, args): self.strategy = paddle.distributed.fleet.DistributedStrategy() self.strategy.a_sync = True - + self.strategy.a_sync_configs = {"launch_barrier": True} return self.strategy def build_optimizer(self, avg_cost, strategy): @@ -238,7 +237,10 @@ class TestFleetHeterBase(unittest.TestCase): return heter0_proc, heter1_proc, heter0_pipe, heter1_pipe def _run_cluster(self, model, envs): - env = {'GRAD_CLIP': str(self._grad_clip_mode)} + env = { + 'GRAD_CLIP': str(self._grad_clip_mode), + 'FLAGS_eager_delete_tensor_gb': str(-1) + } python_path = self._python_interp gloo_path = tempfile.mkdtemp() @@ -287,27 +289,6 @@ class TestFleetHeterBase(unittest.TestCase): tr0_ret = tr0.returncode tr1_ret = tr0.returncode - print("tr get returncode: {}".format(tr0_ret)) - if tr0_ret != 0: - print( - "========================Error tr0_err begin===========================" - ) - os.system("cat {}".format(tempfile.gettempdir() + "/tr0_err.log")) - print( - "========================Error tr0_err end===========================" - ) - - if tr1_ret != 0: - print( - "========================Error tr1_err begin===========================" - ) - os.system("cat {}".format(tempfile.gettempdir() + "/tr1_err.log")) - print( - "========================Error tr1_err end===========================" - ) - - self.assertEqual(tr0_ret, 0, "something wrong in tr0, please check") - self.assertEqual(tr1_ret, 0, "something wrong in tr1, please check") # close trainer file tr0_pipe.close() @@ -321,7 +302,8 @@ class TestFleetHeterBase(unittest.TestCase): ps1.terminate() heter0.terminate() heter1.terminate() - + self.assertEqual(tr0_ret, 0, "something wrong in tr0, please check") + self.assertEqual(tr1_ret, 0, "something wrong in tr1, please check") shutil.rmtree(gloo_path) return 0, 0 @@ -376,8 +358,6 @@ def runtime_main(test_class): strategy = model.build_strategy(args) avg_cost = model.net(args) model.build_optimizer(avg_cost, strategy) - fleet_util._set_strategy(strategy) - fleet_util._set_role_maker(role) if args.role == "pserver" or args.role == "heter_trainer": model.run_pserver(args) diff --git a/python/paddle/fluid/tests/unittests/test_dist_fleet_heter_ctr.py b/python/paddle/fluid/tests/unittests/test_dist_fleet_heter_ctr.py index b3e38a421287611c43bb82d93b4df166e23f6484..5f7d7b21d7ff8da8699c2f55adcde954c1c0156d 100644 --- a/python/paddle/fluid/tests/unittests/test_dist_fleet_heter_ctr.py +++ b/python/paddle/fluid/tests/unittests/test_dist_fleet_heter_ctr.py @@ -23,38 +23,6 @@ import paddle paddle.enable_static() -class TestDistHeterDatasetAsync2x2(TestFleetHeterBase): - def _setup_config(self): - self._mode = "async" - self._reader = "dataset" - - def check_with_place(self, - model_file, - delta=1e-3, - check_error_log=False, - need_envs={}): - required_envs = { - "PATH": os.getenv("PATH", ""), - "PYTHONPATH": os.getenv("PYTHONPATH", ""), - "LD_LIBRARY_PATH": os.getenv("LD_LIBRARY_PATH", ""), - "FLAGS_rpc_deadline": "5000", # 5sec to fail fast - "http_proxy": "", - "CPU_NUM": "3" - } - - required_envs.update(need_envs) - - if check_error_log: - required_envs["GLOG_v"] = "3" - required_envs["GLOG_logtostderr"] = "1" - - tr0_losses, tr1_losses = self._run_cluster(model_file, required_envs) - - def test_dist_train(self): - self.check_with_place( - "dist_fleet_heter_ctr.py", delta=1e-5, check_error_log=True) - - class TestDistHeterPyreaderAsync2x2(TestFleetHeterBase): def _setup_config(self): self._mode = "async" diff --git a/python/paddle/fluid/tests/unittests/test_dist_fleet_heter_program.py b/python/paddle/fluid/tests/unittests/test_dist_fleet_heter_program.py index 00301f9b1c61dd12dc993e0b4c735479fe16daed..7f4e5d99e02084f363b71dbb73b80e59d704aa15 100644 --- a/python/paddle/fluid/tests/unittests/test_dist_fleet_heter_program.py +++ b/python/paddle/fluid/tests/unittests/test_dist_fleet_heter_program.py @@ -19,7 +19,6 @@ import os import math import paddle.fluid as fluid import paddle.distributed.fleet.base.role_maker as role_maker -from paddle.distributed.fleet.base.util_factory import fleet_util from paddle.distributed.fleet import fleet import paddle diff --git a/python/paddle/fluid/tests/unittests/test_dist_fleet_ps6.py b/python/paddle/fluid/tests/unittests/test_dist_fleet_ps6.py index d5b1284e3ce316114122d5bbeb6d88cbabc3f160..c09f22f3fc5807ac3a496ff3fe17369963749ca5 100644 --- a/python/paddle/fluid/tests/unittests/test_dist_fleet_ps6.py +++ b/python/paddle/fluid/tests/unittests/test_dist_fleet_ps6.py @@ -15,11 +15,14 @@ from __future__ import print_function import unittest +import paddle import paddle.fluid as fluid import paddle.fluid.incubate.fleet.base.role_maker as role_maker from paddle.fluid.incubate.fleet.parameter_server.distribute_transpiler import fleet from paddle.fluid.incubate.fleet.parameter_server.distribute_transpiler.distributed_strategy import StrategyFactory +paddle.enable_static() + # For Net base_lr = 0.2 emb_lr = base_lr * 3 diff --git a/python/paddle/fluid/tests/unittests/test_dist_lookup_sparse_table_fuse_ops.py b/python/paddle/fluid/tests/unittests/test_dist_lookup_sparse_table_fuse_ops.py index bca91c536ba32b05138f2860c13fdd1899a2e011..ee099e48eff60252c001b0baaf98e76eaef4b300 100644 --- a/python/paddle/fluid/tests/unittests/test_dist_lookup_sparse_table_fuse_ops.py +++ b/python/paddle/fluid/tests/unittests/test_dist_lookup_sparse_table_fuse_ops.py @@ -20,6 +20,9 @@ import numpy as np import paddle.fluid as fluid import paddle.fluid.core as core +import paddle +paddle.enable_static() + class TestLookupTableFuseOp(unittest.TestCase): def test_fuse(self): diff --git a/python/paddle/fluid/tests/unittests/test_dist_mnist_fp16_allreduce.py b/python/paddle/fluid/tests/unittests/test_dist_mnist_fp16_allreduce.py new file mode 100644 index 0000000000000000000000000000000000000000..d74d08681c18c0f0f739b4a6f59a4773f0cd38da --- /dev/null +++ b/python/paddle/fluid/tests/unittests/test_dist_mnist_fp16_allreduce.py @@ -0,0 +1,33 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function +import unittest +from test_dist_base import TestDistBase + + +class TestDistMnist2x2FP16AllReduce(TestDistBase): + def _setup_config(self): + self._sync_mode = True + self._use_reduce = False + self._nccl2_mode = True + + def test_dist_train(self): + import paddle.fluid as fluid + if fluid.core.is_compiled_with_cuda(): + self.check_with_place("dist_mnist_fp16_allreduce.py", delta=1e-5) + + +if __name__ == "__main__": + unittest.main() diff --git a/python/paddle/fluid/tests/unittests/test_flatten_contiguous_range_op.py b/python/paddle/fluid/tests/unittests/test_flatten_contiguous_range_op.py index 642044bb4b1152b0c6d2b5a8a64e22410f9bd151..e0e487eff11e700b6b2c0531cab9e102d302248e 100644 --- a/python/paddle/fluid/tests/unittests/test_flatten_contiguous_range_op.py +++ b/python/paddle/fluid/tests/unittests/test_flatten_contiguous_range_op.py @@ -195,7 +195,7 @@ class TestFlattenPython(unittest.TestCase): def test_Negative(): paddle.disable_static() - img = paddle.to_variable(x) + img = paddle.to_tensor(x) out = paddle.flatten(img, start_axis=-2, stop_axis=-1) return out.numpy().shape diff --git a/python/paddle/fluid/tests/unittests/test_fleet_base.py b/python/paddle/fluid/tests/unittests/test_fleet_base.py index 45597e7253c4d5bab50aa58f5f58e13e89ce1c1e..ccd57c4d51529f2c178f6b7c6c8f98851b1e9e80 100644 --- a/python/paddle/fluid/tests/unittests/test_fleet_base.py +++ b/python/paddle/fluid/tests/unittests/test_fleet_base.py @@ -107,7 +107,7 @@ class TestFleetBase(unittest.TestCase): def test_util(self): role = role_maker.PaddleCloudRoleMaker(is_collective=True) fleet.init(role) - self.assertEqual(fleet.util(), None) + self.assertNotEqual(fleet.util, None) def test_barrier_worker(self): role = role_maker.PaddleCloudRoleMaker(is_collective=True) diff --git a/python/paddle/fluid/tests/unittests/test_fleet_distributed_strategy.py b/python/paddle/fluid/tests/unittests/test_fleet_distributed_strategy.py index b20f33e11b656f1296510df653309a3569d45043..deaf342da12af9ab7d7b0c659961b3ee6c1ee478 100644 --- a/python/paddle/fluid/tests/unittests/test_fleet_distributed_strategy.py +++ b/python/paddle/fluid/tests/unittests/test_fleet_distributed_strategy.py @@ -102,6 +102,16 @@ class TestStrategyConfig(unittest.TestCase): strategy.dgc = "True" self.assertEqual(strategy.dgc, False) + def test_fp16_allreduce(self): + strategy = paddle.distributed.fleet.DistributedStrategy() + strategy.fp16_allreduce = True + self.assertEqual(strategy.fp16_allreduce, True) + strategy.fp16_allreduce = False + self.assertEqual(strategy.fp16_allreduce, False) + with self.assertRaises(TypeError): + strategy.fp16_allreduce = "True" + self.assertEqual(strategy.fp16_allreduce, False) + def test_sync_nccl_allreduce(self): strategy = paddle.distributed.fleet.DistributedStrategy() strategy.sync_nccl_allreduce = True diff --git a/python/paddle/fluid/tests/unittests/test_fleet_fp16_allreduce_meta_optimizer.py b/python/paddle/fluid/tests/unittests/test_fleet_fp16_allreduce_meta_optimizer.py new file mode 100644 index 0000000000000000000000000000000000000000..efffa9fa88fde709dc90bfa188250fbb7116d4f8 --- /dev/null +++ b/python/paddle/fluid/tests/unittests/test_fleet_fp16_allreduce_meta_optimizer.py @@ -0,0 +1,91 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import paddle.distributed.fleet as fleet +import paddle.distributed.fleet.base.role_maker as role_maker +import unittest +import paddle +import paddle.fluid as fluid +import os + +paddle.enable_static() + + +class TestFleetFP16CompressOptimizer(unittest.TestCase): + def setUp(self): + os.environ["PADDLE_TRAINER_ID"] = "0" + os.environ["PADDLE_TRAINER_ENDPOINTS"] = "127.0.0.1:36001" + + def net(self, main_prog, startup_prog, dtype='float32'): + with fluid.program_guard(main_prog, startup_prog): + input_x = paddle.fluid.layers.data( + name="x", shape=[32], dtype=dtype) + input_y = paddle.fluid.layers.data( + name="y", shape=[1], dtype='int64') + + fc_1 = paddle.fluid.layers.fc(input=input_x, size=64, act='tanh') + fc_2 = paddle.fluid.layers.fc(input=fc_1, size=64, act='tanh') + prediction = paddle.fluid.layers.fc(input=[fc_2], + size=2, + act='softmax') + cost = paddle.fluid.layers.cross_entropy( + input=prediction, label=input_y) + avg_cost = paddle.fluid.layers.mean(x=cost) + + strategy = paddle.distributed.fleet.DistributedStrategy() + strategy.fp16_allreduce = True + return avg_cost, strategy + + def test_fp16_allreduce_optimizer(self): + role = role_maker.PaddleCloudRoleMaker(is_collective=True) + fleet.init(role) + train_prog, startup_prog = fluid.Program(), fluid.Program() + avg_cost, strategy = self.net(train_prog, startup_prog) + + optimizer = paddle.fluid.optimizer.SGD(learning_rate=0.01) + optimizer = fleet.distributed_optimizer(optimizer, strategy=strategy) + optimizer.minimize(avg_cost) + + ops = [op.type for op in avg_cost.block.ops] + cast_out = [ + op.output('Out')[0] for op in avg_cost.block.ops + if op.type == 'cast' + ] + + cast_op_count = 0 + for name in ops: + if name == 'cast': + cast_op_count += 1 + self.assertIn('cast', ops) + self.assertEqual(cast_op_count, 12) # 6 + 6, cast_fp16 + cast_fp32 + + for name in cast_out: + self.assertIn('cast_fp16', name) + + def test_fp16_allreduce_not_apply_fp16_net(self): + role = role_maker.PaddleCloudRoleMaker(is_collective=True) + fleet.init(role) + train_prog, startup_prog = fluid.Program(), fluid.Program() + avg_cost, strategy = self.net(train_prog, startup_prog, dtype='float16') + + optimizer = paddle.fluid.optimizer.SGD(learning_rate=0.01) + optimizer = fleet.distributed_optimizer(optimizer, strategy=strategy) + optimizer.minimize(avg_cost) + + ops = [op.type for op in avg_cost.block.ops] + self.assertNotIn('cast', ops) + + +if __name__ == "__main__": + unittest.main() diff --git a/python/paddle/fluid/tests/unittests/test_fleet_rolemaker_new.py b/python/paddle/fluid/tests/unittests/test_fleet_rolemaker_new.py index 4dd254af251ae955878f9846e0f0e06f65c3ec90..992fbbbe2661d7059fc2acccb2b7fda5a357157a 100644 --- a/python/paddle/fluid/tests/unittests/test_fleet_rolemaker_new.py +++ b/python/paddle/fluid/tests/unittests/test_fleet_rolemaker_new.py @@ -436,12 +436,12 @@ class TestGlooWithCloudRoleMaker(unittest.TestCase): optimizer.minimize(avg_cost) comm_world = "server" - fleet.util().barrier(comm_world) + fleet.util.barrier(comm_world) - gather = fleet.util().all_gather(1, comm_world) + gather = fleet.util.all_gather(1, comm_world) self.assertEqual(gather[0], 1) - all_reduce = fleet.util().all_reduce(1, "sum", comm_world) + all_reduce = fleet.util.all_reduce(1, "sum", comm_world) self.assertEqual(1, all_reduce) self.clean(tmp) @@ -752,12 +752,12 @@ class TestGlooWithCloudRoleMaker(unittest.TestCase): optimizer.minimize(avg_cost) comm_world = "server" - fleet.util().barrier(comm_world) + fleet.util.barrier(comm_world) - gather = fleet.util().all_gather(1, comm_world) + gather = fleet.util.all_gather(1, comm_world) self.assertEqual(gather[0], 1) - all_reduce = fleet.util().all_reduce(1, "sum", comm_world) + all_reduce = fleet.util.all_reduce(1, "sum", comm_world) self.assertEqual(1, all_reduce) self.clean(tmp) diff --git a/python/paddle/fluid/tests/unittests/test_fleet_util.py b/python/paddle/fluid/tests/unittests/test_fleet_util.py index 1570912e7406f930212eead64305e1e35e1b8ac0..b5c22b192a16dec43c5e5243c34b970f489f5bb7 100644 --- a/python/paddle/fluid/tests/unittests/test_fleet_util.py +++ b/python/paddle/fluid/tests/unittests/test_fleet_util.py @@ -22,7 +22,6 @@ import tempfile import os import sys from paddle.dataset.common import download, DATA_HOME -from paddle.distributed.fleet.base.util_factory import fleet_util import paddle.distributed.fleet.base.role_maker as role_maker @@ -59,8 +58,7 @@ class TestFleetUtil(unittest.TestCase): import paddle.distributed.fleet.base.role_maker as role_maker role = role_maker.PaddleCloudRoleMaker(is_collective=True) fleet.init(role) - default_util = fleet.util() - self.assertEqual(default_util, None) + self.assertNotEqual(fleet.util, None) def test_set_user_defined_util(self): import paddle.distributed.fleet as fleet @@ -76,17 +74,19 @@ class TestFleetUtil(unittest.TestCase): role = role_maker.PaddleCloudRoleMaker(is_collective=True) fleet.init(role) my_util = UserDefinedUtil() - fleet.set_util(my_util) - user_id = fleet.util().get_user_id() + fleet.util = my_util + user_id = fleet.util.get_user_id() self.assertEqual(user_id, 10) def test_fs(self): - from paddle.distributed.fleet.utils.fs import LocalFS + import paddle.distributed.fleet as fleet + from paddle.distributed.fleet.utils import LocalFS + fs = LocalFS() dirs, files = fs.ls_dir("test_tmp") dirs, files = fs.ls_dir("./") self.assertFalse(fs.need_upload_download()) - fleet_util._set_file_system(fs) + fleet.util._set_file_system(fs) def download_files(self): path = download(self.proto_data_url, self.module_name, @@ -98,7 +98,8 @@ class TestFleetUtil(unittest.TestCase): return unzip_folder def test_get_file_shard(self): - self.assertRaises(Exception, fleet_util.get_file_shard, "files") + import paddle.distributed.fleet as fleet + self.assertRaises(Exception, fleet.util.get_file_shard, "files") try: import netifaces except: @@ -112,18 +113,20 @@ class TestFleetUtil(unittest.TestCase): role=role_maker.Role.WORKER, worker_endpoints=["127.0.0.1:6003", "127.0.0.1:6004"], server_endpoints=["127.0.0.1:6001", "127.0.0.1:6002"]) - fleet_util._set_role_maker(role) - files = fleet_util.get_file_shard(["1", "2", "3"]) + fleet.init(role) + + files = fleet.util.get_file_shard(["1", "2", "3"]) self.assertTrue(len(files) == 2 and "1" in files and "2" in files) def test_program_type_trans(self): + import paddle.distributed.fleet as fleet data_dir = self.download_files() program_dir = os.path.join(data_dir, self.pruned_dir) text_program = "pruned_main_program.pbtxt" binary_program = "pruned_main_program.bin" - text_to_binary = fleet_util._program_type_trans(program_dir, + text_to_binary = fleet.util._program_type_trans(program_dir, text_program, True) - binary_to_text = fleet_util._program_type_trans(program_dir, + binary_to_text = fleet.util._program_type_trans(program_dir, binary_program, False) self.assertTrue( os.path.exists(os.path.join(program_dir, text_to_binary))) @@ -131,6 +134,7 @@ class TestFleetUtil(unittest.TestCase): os.path.exists(os.path.join(program_dir, binary_to_text))) def test_prams_check(self): + import paddle.distributed.fleet as fleet data_dir = self.download_files() class config: @@ -160,11 +164,11 @@ class TestFleetUtil(unittest.TestCase): # test saved var's shape conf.dump_program_filename = "pruned_main_program.save_var_shape_not_match" - self.assertRaises(Exception, fleet_util._params_check) + self.assertRaises(Exception, fleet.util._params_check) # test program.proto without feed_op and fetch_op conf.dump_program_filename = "pruned_main_program.no_feed_fetch" - results = fleet_util._params_check(conf) + results = fleet.util._params_check(conf) self.assertTrue(len(results) == 1) np.testing.assert_array_almost_equal( results[0], np.array( @@ -172,11 +176,11 @@ class TestFleetUtil(unittest.TestCase): # test feed_var's shape conf.dump_program_filename = "pruned_main_program.feed_var_shape_not_match" - self.assertRaises(Exception, fleet_util._params_check) + self.assertRaises(Exception, fleet.util._params_check) # test correct case with feed_vars_filelist conf.dump_program_filename = "pruned_main_program.pbtxt" - results = fleet_util._params_check(conf) + results = fleet.util._params_check(conf) self.assertTrue(len(results) == 1) np.testing.assert_array_almost_equal( results[0], np.array( @@ -186,13 +190,14 @@ class TestFleetUtil(unittest.TestCase): conf.feed_config.feeded_vars_filelist = None # test feed var with lod_level >= 2 conf.dump_program_filename = "pruned_main_program.feed_lod2" - self.assertRaises(Exception, fleet_util._params_check) + self.assertRaises(Exception, fleet.util._params_check) conf.dump_program_filename = "pruned_main_program.pbtxt" - results = fleet_util._params_check(conf) + results = fleet.util._params_check(conf) self.assertTrue(len(results) == 1) def test_proto_check(self): + import paddle.distributed.fleet as fleet data_dir = self.download_files() class config: @@ -210,7 +215,7 @@ class TestFleetUtil(unittest.TestCase): "pruned_main_program.save_var_shape_not_match")) conf.is_text_pruned_program = True conf.draw = False - res = fleet_util._proto_check(conf) + res = fleet.util._proto_check(conf) self.assertFalse(res) # test match @@ -222,10 +227,11 @@ class TestFleetUtil(unittest.TestCase): else: conf.draw = True conf.draw_out_name = "pruned_check" - res = fleet_util._proto_check(conf) + res = fleet.util._proto_check(conf) self.assertTrue(res) def test_visualize(self): + import paddle.distributed.fleet as fleet if sys.platform == 'win32' or sys.platform == 'sys.platform': pass else: @@ -234,10 +240,10 @@ class TestFleetUtil(unittest.TestCase): data_dir, os.path.join(self.train_dir, "join_main_program.pbtxt")) is_text = True - program = fleet_util._load_program(program_path, is_text) + program = fleet.util._load_program(program_path, is_text) output_dir = os.path.join(data_dir, self.train_dir) output_filename = "draw_prog" - fleet_util._visualize_graphviz(program, output_dir, output_filename) + fleet.util._visualize_graphviz(program, output_dir, output_filename) self.assertTrue( os.path.exists( os.path.join(output_dir, output_filename + ".dot"))) diff --git a/python/paddle/fluid/tests/unittests/test_group_norm_op_v2.py b/python/paddle/fluid/tests/unittests/test_group_norm_op_v2.py index a46b9b0ca78bf37e1c421a08a6fa8c5353c6d45d..833eeb33641c90206b4f85a9bf49ac57f5c8c8b1 100644 --- a/python/paddle/fluid/tests/unittests/test_group_norm_op_v2.py +++ b/python/paddle/fluid/tests/unittests/test_group_norm_op_v2.py @@ -56,7 +56,10 @@ class TestDygraphGroupNormv2(unittest.TestCase): x = np.random.randn(*shape).astype("float32") y1 = compute_v1(x) y2 = compute_v2(x) - self.assertTrue(np.allclose(y1, y2)) + result = np.allclose(y1, y2) + if not result: + print("y1:", y1, "\ty2:", y2) + self.assertTrue(result) test_weight_bias_false() def test_static(self): diff --git a/python/paddle/fluid/tests/unittests/test_imperative_basic.py b/python/paddle/fluid/tests/unittests/test_imperative_basic.py index 22f16287c33f96a43361b5fe4ed5d0fe3edbb1bc..7378975aa3795bb42e72f5e892bf08a2910e320a 100644 --- a/python/paddle/fluid/tests/unittests/test_imperative_basic.py +++ b/python/paddle/fluid/tests/unittests/test_imperative_basic.py @@ -211,7 +211,7 @@ class TestImperative(unittest.TestCase): paddle.disable_static() self.assertTrue(paddle.in_dynamic_mode()) np_inp = np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float32) - var_inp = paddle.to_variable(np_inp) + var_inp = paddle.to_tensor(np_inp) mlp = MLP(input_size=2) out = mlp(var_inp) dy_out1 = out.numpy() @@ -221,7 +221,7 @@ class TestImperative(unittest.TestCase): self.assertFalse(paddle.in_dynamic_mode()) paddle.disable_static() self.assertTrue(paddle.in_dynamic_mode()) - var_inp = paddle.to_variable(np_inp) + var_inp = paddle.to_tensor(np_inp) mlp = MLP(input_size=2) out = mlp(var_inp) dy_out2 = out.numpy() diff --git a/python/paddle/fluid/tests/unittests/test_imperative_save_load.py b/python/paddle/fluid/tests/unittests/test_imperative_save_load.py index 22e19efcb58d19c41835565de2c8c01fe253702a..bee53fd10f5feef911ce8ed105c7792cbd664a15 100644 --- a/python/paddle/fluid/tests/unittests/test_imperative_save_load.py +++ b/python/paddle/fluid/tests/unittests/test_imperative_save_load.py @@ -292,7 +292,7 @@ class TestDygraphPtbRnn(unittest.TestCase): np_t = v.numpy() self.model_base[k] = np_t - paddle.save(self.state_dict, "./test_dy") + fluid.save_dygraph(self.state_dict, "./test_dy") def testLoadAndSetVarBase(self): seed = 90 @@ -373,7 +373,7 @@ class TestDygraphPtbRnn(unittest.TestCase): if isinstance(adam._learning_rate, LearningRateDecay): adam._learning_rate.step_num = 0 - para_state_dict, opti_state_dict = paddle.load("./test_dy") + para_state_dict, opti_state_dict = fluid.load_dygraph("./test_dy") adam.set_state_dict(opti_state_dict) opti_dict = adam.state_dict() @@ -898,31 +898,31 @@ class TestDygraphPtbRnn(unittest.TestCase): with fluid.dygraph.guard(): emb = fluid.dygraph.Embedding([10, 10]) state_dict = emb.state_dict() - paddle.save(state_dict, os.path.join('saved_dy', 'emb_dy')) + fluid.save_dygraph(state_dict, os.path.join('saved_dy', 'emb_dy')) - para_state_dict, opti_state_dict = paddle.load( + para_state_dict, opti_state_dict = fluid.load_dygraph( os.path.join('saved_dy', 'emb_dy')) self.assertTrue(opti_state_dict == None) - para_state_dict, opti_state_dict = paddle.load( + para_state_dict, opti_state_dict = fluid.load_dygraph( os.path.join('saved_dy', 'emb_dy.pdparams')) - para_state_dict, opti_state_dict = paddle.load( + para_state_dict, opti_state_dict = fluid.load_dygraph( os.path.join('saved_dy', 'emb_dy.pdopt')) def test_load_compatible_with_keep_name_table(self): with fluid.dygraph.guard(): emb = fluid.dygraph.Embedding([10, 10]) state_dict = emb.state_dict() - paddle.save(state_dict, os.path.join('saved_dy', 'emb_dy')) + fluid.save_dygraph(state_dict, os.path.join('saved_dy', 'emb_dy')) - para_state_dict, opti_state_dict = paddle.load( + para_state_dict, opti_state_dict = fluid.load_dygraph( os.path.join('saved_dy', 'emb_dy'), True) self.assertTrue(para_state_dict != None) self.assertTrue(opti_state_dict == None) - para_state_dict, opti_state_dict = paddle.load( + para_state_dict, opti_state_dict = fluid.load_dygraph( os.path.join('saved_dy', 'emb_dy'), keep_name_table=True) self.assertTrue(para_state_dict != None) self.assertTrue(opti_state_dict == None) diff --git a/python/paddle/fluid/tests/unittests/test_imperative_save_load_v2.py b/python/paddle/fluid/tests/unittests/test_imperative_save_load_v2.py index 3eb413a62664057c56567d5834b216110fac04fb..5b7998198efa83a77c383d95d080a6e8cb30067f 100644 --- a/python/paddle/fluid/tests/unittests/test_imperative_save_load_v2.py +++ b/python/paddle/fluid/tests/unittests/test_imperative_save_load_v2.py @@ -285,7 +285,7 @@ class TestDygraphPtbRnn(unittest.TestCase): else: self.base_opti[k] = v - fluid.save_dygraph(self.opti_dict, "./test_dy_v2") + paddle.save(self.opti_dict, "./test_dy_v2.pdopt") self.state_dict = ptb_model.state_dict() @@ -294,7 +294,7 @@ class TestDygraphPtbRnn(unittest.TestCase): np_t = v.numpy() self.model_base[k] = np_t - paddle.save(self.state_dict, "./test_dy_v2") + paddle.save(self.state_dict, "./test_dy_v2.pdparams") def testLoadAndSetVarBase(self): self.setUp() @@ -374,7 +374,8 @@ class TestDygraphPtbRnn(unittest.TestCase): self.assertTrue(np.sum(np.abs(v.numpy())) == 0) - para_state_dict, opti_state_dict = paddle.load("./test_dy_v2") + para_state_dict = paddle.load("./test_dy_v2.pdparams") + opti_state_dict = paddle.load("./test_dy_v2.pdopt") adam.set_state_dict(opti_state_dict) opti_dict = adam.state_dict() @@ -905,26 +906,19 @@ class TestDygraphPtbRnn(unittest.TestCase): with fluid.dygraph.guard(): emb = fluid.dygraph.Embedding([10, 10]) state_dict = emb.state_dict() - paddle.save(state_dict, os.path.join('saved_dy', 'emb_dy')) + paddle.save(state_dict, os.path.join('saved_dy', 'emb_dy.pdparams')) - para_state_dict, opti_state_dict = paddle.load( - os.path.join('saved_dy', 'emb_dy')) - - self.assertTrue(opti_state_dict == None) - - para_state_dict, opti_state_dict = paddle.load( + para_state_dict = paddle.load( os.path.join('saved_dy', 'emb_dy.pdparams')) - para_state_dict, opti_state_dict = paddle.load( - os.path.join('saved_dy', 'emb_dy.pdopt')) - def test_no_state_in_input_dict(self): with fluid.dygraph.guard(): emb = fluid.dygraph.Embedding([10, 10]) state_dict = emb.state_dict() - paddle.save(state_dict, os.path.join('saved_dy', 'emb_dy')) + paddle.save(state_dict, os.path.join('saved_dy', 'emb_dy.pdparams')) - para_state_dict, _ = paddle.load(os.path.join('saved_dy', 'emb_dy')) + para_state_dict = paddle.load( + os.path.join('saved_dy', 'emb_dy.pdparams')) para_state_dict.pop('weight') emb.set_state_dict(para_state_dict) @@ -933,9 +927,10 @@ class TestDygraphPtbRnn(unittest.TestCase): with fluid.dygraph.guard(): emb = fluid.dygraph.Embedding([10, 10]) state_dict = emb.state_dict() - paddle.save(state_dict, os.path.join('saved_dy', 'emb_dy')) + paddle.save(state_dict, os.path.join('saved_dy', 'emb_dy.pdparams')) - para_state_dict, _ = paddle.load(os.path.join('saved_dy', 'emb_dy')) + para_state_dict = paddle.load( + os.path.join('saved_dy', 'emb_dy.pdparams')) para_state_dict['weight'] = np.expand_dims( para_state_dict['weight'], axis=-1) diff --git a/python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py b/python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py index a04e1e4e5aafeeb605348b30125c5d42b3171674..e47a70054be4137aba9f4148e4cdc224b3e60260 100644 --- a/python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py +++ b/python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py @@ -25,6 +25,9 @@ from paddle.fluid.dygraph.nn import Conv2D, Pool2D, BatchNorm, Linear from paddle.fluid.dygraph.base import to_variable from test_imperative_base import new_program_scope +if fluid.is_compiled_with_cuda(): + fluid.set_flags({'FLAGS_cudnn_deterministic': True}) + batch_size = 8 train_parameters = { "input_size": [3, 224, 224], @@ -340,7 +343,9 @@ class TestImperativeResneXt(unittest.TestCase): label.stop_gradient = True out = se_resnext(img) - loss = fluid.layers.cross_entropy(input=out, label=label) + softmax_out = fluid.layers.softmax(out, use_cudnn=False) + loss = fluid.layers.cross_entropy( + input=softmax_out, label=label) avg_loss = fluid.layers.mean(x=loss) dy_out = avg_loss.numpy() @@ -386,7 +391,8 @@ class TestImperativeResneXt(unittest.TestCase): name='pixel', shape=[3, 224, 224], dtype='float32') label = fluid.layers.data(name='label', shape=[1], dtype='int64') out = se_resnext(img) - loss = fluid.layers.cross_entropy(input=out, label=label) + softmax_out = fluid.layers.softmax(out, use_cudnn=False) + loss = fluid.layers.cross_entropy(input=softmax_out, label=label) avg_loss = fluid.layers.mean(x=loss) optimizer.minimize(avg_loss) @@ -443,7 +449,9 @@ class TestImperativeResneXt(unittest.TestCase): static_grad_value[static_grad_name_list[ i - grad_start_pos]] = out[i] - self.assertTrue(np.allclose(static_out, dy_out)) + self.assertTrue( + np.allclose(static_out, dy_out), + "\nstatic_out: {}\ndy_out: {}".format(static_out, dy_out)) self.assertEqual(len(dy_param_init_value), len(static_param_init_value)) @@ -455,16 +463,23 @@ class TestImperativeResneXt(unittest.TestCase): self.assertEqual(len(dy_grad_value), len(static_grad_value)) for key, value in six.iteritems(static_grad_value): - self.assertTrue(np.allclose(value, dy_grad_value[key])) + self.assertTrue( + np.allclose(value, dy_grad_value[key]), + "\nstatic_grad_value: {}\ndy_grad_value: {}".format( + value, dy_grad_value[key])) self.assertTrue(np.isfinite(value.all())) self.assertFalse(np.isnan(value.any())) self.assertEqual(len(dy_param_value), len(static_param_value)) for key, value in six.iteritems(static_param_value): - self.assertTrue(np.allclose(value, dy_param_value[key])) + self.assertTrue( + np.allclose(value, dy_param_value[key]), + "\nstatic_param_value: {}\ndy_param_value: {}".format( + value, dy_param_value[key])) self.assertTrue(np.isfinite(value.all())) self.assertFalse(np.isnan(value.any())) if __name__ == '__main__': + paddle.enable_static() unittest.main() diff --git a/python/paddle/fluid/tests/unittests/test_imperative_selected_rows.py b/python/paddle/fluid/tests/unittests/test_imperative_selected_rows.py index 59ddb365e539603c1eba06ca8828fc244b6e542d..97f7162e9979c504de0e29206a7b6d03884e3e19 100644 --- a/python/paddle/fluid/tests/unittests/test_imperative_selected_rows.py +++ b/python/paddle/fluid/tests/unittests/test_imperative_selected_rows.py @@ -54,7 +54,7 @@ class TestSimpleNet(unittest.TestCase): # grad_clip = fluid.clip.GradientClipByGlobalNorm(5.0) input_word = np.array([[1, 2], [2, 1]]).astype('int64') - input = paddle.to_variable(input_word) + input = paddle.to_tensor(input_word) simplenet = SimpleNet(20, 32, dtype) adam = SGDOptimizer( diff --git a/python/paddle/fluid/tests/unittests/test_imperative_signal_handler.py b/python/paddle/fluid/tests/unittests/test_imperative_signal_handler.py index b47834ffab85e56b12c787ac57823ee02dd18df7..a0da4b0efee64e6a7aa26a213419764afa90bd22 100644 --- a/python/paddle/fluid/tests/unittests/test_imperative_signal_handler.py +++ b/python/paddle/fluid/tests/unittests/test_imperative_signal_handler.py @@ -49,7 +49,7 @@ class TestDygraphDataLoaderSingalHandler(unittest.TestCase): test_process.start() set_child_signal_handler(id(self), test_process.pid) - time.sleep(3) + time.sleep(5) except core.EnforceNotMet as ex: self.assertIn("FatalError", cpt.get_exception_message(ex)) exception = ex diff --git a/python/paddle/fluid/tests/unittests/test_isfinite_v2_op.py b/python/paddle/fluid/tests/unittests/test_isfinite_v2_op.py index 8a868e751f0567e6387b0e9471f0382c9456bcb6..281dc7caded1f5d685350e88da776a614a3b8175 100644 --- a/python/paddle/fluid/tests/unittests/test_isfinite_v2_op.py +++ b/python/paddle/fluid/tests/unittests/test_isfinite_v2_op.py @@ -41,7 +41,7 @@ def run_dygraph(x_np, op_str, use_gpu=True): if use_gpu and fluid.core.is_compiled_with_cuda(): place = paddle.CUDAPlace(0) paddle.disable_static(place) - x = paddle.to_variable(x_np) + x = paddle.to_tensor(x_np) dygraph_result = getattr(paddle.tensor, op_str)(x) return dygraph_result diff --git a/python/paddle/fluid/tests/unittests/test_jit_save_load.py b/python/paddle/fluid/tests/unittests/test_jit_save_load.py index 7e6ca8076de5186def1229b58bd23df73021430e..99404246185040e35c59ab5cf374e1948870b2bb 100644 --- a/python/paddle/fluid/tests/unittests/test_jit_save_load.py +++ b/python/paddle/fluid/tests/unittests/test_jit_save_load.py @@ -543,9 +543,9 @@ class TestJitSaveMultiCases(unittest.TestCase): loaded_layer = paddle.jit.load(model_path) loaded_layer.eval() # inference & compare - x = paddle.to_variable(np.random.random((1, 784)).astype('float32')) + x = paddle.to_tensor(np.random.random((1, 784)).astype('float32')) if with_label: - y = paddle.to_variable(np.random.random((1, 1)).astype('int64')) + y = paddle.to_tensor(np.random.random((1, 1)).astype('int64')) pred, _ = layer(x, y) pred = pred.numpy() else: @@ -677,7 +677,7 @@ class TestJitSaveMultiCases(unittest.TestCase): model_path = "test_not_prune_output_spec_name_warning" configs = paddle.SaveLoadConfig() - out = paddle.to_variable(np.random.random((1, 1)).astype('float')) + out = paddle.to_tensor(np.random.random((1, 1)).astype('float')) configs.output_spec = [out] paddle.jit.save(layer, model_path, configs=configs) @@ -709,7 +709,7 @@ class TestJitSaveMultiCases(unittest.TestCase): model_path = "test_prune_to_static_after_train" configs = paddle.SaveLoadConfig() - out = paddle.to_variable(np.random.random((1, 1)).astype('float')) + out = paddle.to_tensor(np.random.random((1, 1)).astype('float')) configs.output_spec = [out] with self.assertRaises(ValueError): paddle.jit.save( @@ -730,7 +730,7 @@ class TestJitSaveLoadEmptyLayer(unittest.TestCase): def test_save_load_empty_layer(self): layer = EmptyLayer() - x = paddle.to_variable(np.random.random((10)).astype('float32')) + x = paddle.to_tensor(np.random.random((10)).astype('float32')) out = layer(x) paddle.jit.save(layer, self.model_path) load_layer = paddle.jit.load(self.model_path) @@ -746,8 +746,8 @@ class TestJitSaveLoadNoParamLayer(unittest.TestCase): def test_save_load_no_param_layer(self): layer = NoParamLayer() - x = paddle.to_variable(np.random.random((5)).astype('float32')) - y = paddle.to_variable(np.random.random((5)).astype('float32')) + x = paddle.to_tensor(np.random.random((5)).astype('float32')) + y = paddle.to_tensor(np.random.random((5)).astype('float32')) out = layer(x, y) paddle.jit.save(layer, self.model_path) load_layer = paddle.jit.load(self.model_path) diff --git a/python/paddle/fluid/tests/unittests/test_kldiv_loss_op.py b/python/paddle/fluid/tests/unittests/test_kldiv_loss_op.py index 041fe4e9043d60852fcaab42bc233b63b39609ce..3a3b7071e04dced7fc33c4ac56a9018bb82afbf4 100644 --- a/python/paddle/fluid/tests/unittests/test_kldiv_loss_op.py +++ b/python/paddle/fluid/tests/unittests/test_kldiv_loss_op.py @@ -90,7 +90,7 @@ class TestKLDivLossDygraph(unittest.TestCase): with paddle.fluid.dygraph.guard(): kldiv_criterion = paddle.nn.KLDivLoss(reduction) pred_loss = kldiv_criterion( - paddle.to_variable(x), paddle.to_variable(target)) + paddle.to_tensor(x), paddle.to_tensor(target)) self.assertTrue(np.allclose(pred_loss.numpy(), gt_loss)) def test_kl_loss_batchmean(self): diff --git a/python/paddle/fluid/tests/unittests/test_l1_loss.py b/python/paddle/fluid/tests/unittests/test_l1_loss.py index 6a15fe494779f93c2f36a301594aaccf55283902..3c37397cae1b586f77249136d6abd2e0dce1d8b3 100644 --- a/python/paddle/fluid/tests/unittests/test_l1_loss.py +++ b/python/paddle/fluid/tests/unittests/test_l1_loss.py @@ -26,8 +26,8 @@ class TestFunctionalL1Loss(unittest.TestCase): self.label_np = np.random.random(size=(10, 10, 5)).astype(np.float32) def run_imperative(self): - input = paddle.to_variable(self.input_np) - label = paddle.to_variable(self.label_np) + input = paddle.to_tensor(self.input_np) + label = paddle.to_tensor(self.label_np) dy_result = paddle.nn.functional.l1_loss(input, label) expected = np.mean(np.abs(self.input_np - self.label_np)) self.assertTrue(np.allclose(dy_result.numpy(), expected)) @@ -106,8 +106,8 @@ class TestClassL1Loss(unittest.TestCase): self.label_np = np.random.random(size=(10, 10, 5)).astype(np.float32) def run_imperative(self): - input = paddle.to_variable(self.input_np) - label = paddle.to_variable(self.label_np) + input = paddle.to_tensor(self.input_np) + label = paddle.to_tensor(self.label_np) l1_loss = paddle.nn.loss.L1Loss() dy_result = l1_loss(input, label) expected = np.mean(np.abs(self.input_np - self.label_np)) diff --git a/python/paddle/fluid/tests/unittests/test_load_state_dict_from_old_format.py b/python/paddle/fluid/tests/unittests/test_load_state_dict_from_old_format.py index a1a9b3f444fa411f90e869f5265fa0933393ff56..fdc1e6b52aba1d5189a759d748ad198c080b4609 100644 --- a/python/paddle/fluid/tests/unittests/test_load_state_dict_from_old_format.py +++ b/python/paddle/fluid/tests/unittests/test_load_state_dict_from_old_format.py @@ -124,52 +124,67 @@ class TestLoadStateDictFromSaveInferenceModel(unittest.TestCase): self.params_filename = None orig_param_dict = self.train_and_save_model() - load_param_dict, _ = paddle.load(self.save_dirname) + load_param_dict, _ = fluid.load_dygraph(self.save_dirname) self.check_load_state_dict(orig_param_dict, load_param_dict) + new_load_param_dict = paddle.load(self.save_dirname) + self.check_load_state_dict(orig_param_dict, new_load_param_dict) + def test_load_with_model_filename(self): self.save_dirname = "static_mnist.load_state_dict.model_filename" self.model_filename = "static_mnist.model" self.params_filename = None orig_param_dict = self.train_and_save_model() - configs = paddle.SaveLoadConfig() - configs.separate_params = True - configs.model_filename = self.model_filename - load_param_dict, _ = paddle.load(self.save_dirname, configs) + config = paddle.SaveLoadConfig() + config.separate_params = True + config.model_filename = self.model_filename + load_param_dict, _ = fluid.load_dygraph(self.save_dirname, config) self.check_load_state_dict(orig_param_dict, load_param_dict) + new_load_param_dict = paddle.load(self.save_dirname, config) + self.check_load_state_dict(orig_param_dict, new_load_param_dict) + def test_load_with_param_filename(self): self.save_dirname = "static_mnist.load_state_dict.param_filename" self.model_filename = None self.params_filename = "static_mnist.params" orig_param_dict = self.train_and_save_model() - configs = paddle.SaveLoadConfig() - configs.params_filename = self.params_filename - load_param_dict, _ = paddle.load(self.save_dirname, configs) + config = paddle.SaveLoadConfig() + config.params_filename = self.params_filename + load_param_dict, _ = fluid.load_dygraph(self.save_dirname, config) self.check_load_state_dict(orig_param_dict, load_param_dict) + new_load_param_dict = paddle.load(self.save_dirname, config) + self.check_load_state_dict(orig_param_dict, new_load_param_dict) + def test_load_with_model_and_param_filename(self): self.save_dirname = "static_mnist.load_state_dict.model_and_param_filename" self.model_filename = "static_mnist.model" self.params_filename = "static_mnist.params" orig_param_dict = self.train_and_save_model() - configs = paddle.SaveLoadConfig() - configs.params_filename = self.params_filename - configs.model_filename = self.model_filename - load_param_dict, _ = paddle.load(self.save_dirname, configs) + config = paddle.SaveLoadConfig() + config.params_filename = self.params_filename + config.model_filename = self.model_filename + load_param_dict, _ = fluid.load_dygraph(self.save_dirname, config) self.check_load_state_dict(orig_param_dict, load_param_dict) + new_load_param_dict = paddle.load(self.save_dirname, config) + self.check_load_state_dict(orig_param_dict, new_load_param_dict) + def test_load_state_dict_from_save_params(self): self.save_dirname = "static_mnist.load_state_dict.save_params" self.params_filename = None orig_param_dict = self.train_and_save_model(True) - load_param_dict, _ = paddle.load(self.save_dirname) + load_param_dict, _ = fluid.load_dygraph(self.save_dirname) self.check_load_state_dict(orig_param_dict, load_param_dict) + new_load_param_dict = paddle.load(self.save_dirname) + self.check_load_state_dict(orig_param_dict, new_load_param_dict) + if __name__ == '__main__': unittest.main() diff --git a/python/paddle/fluid/tests/unittests/test_log_softmax.py b/python/paddle/fluid/tests/unittests/test_log_softmax.py index e3d7003ecedb60f9b4f9a542ed08ca88d894d24a..9ac4895f499f812906fe22cc31712459cb43976c 100644 --- a/python/paddle/fluid/tests/unittests/test_log_softmax.py +++ b/python/paddle/fluid/tests/unittests/test_log_softmax.py @@ -96,7 +96,7 @@ class TestNNLogSoftmaxAPI(unittest.TestCase): # test dygrapg api paddle.disable_static() - x = paddle.to_variable(self.x) + x = paddle.to_tensor(self.x) y = logsoftmax(x) self.assertTrue(np.allclose(y.numpy(), ref_out)) paddle.enable_static() @@ -127,7 +127,7 @@ class TestNNFunctionalLogSoftmaxAPI(unittest.TestCase): self.assertTrue(np.allclose(out[0], ref_out)) paddle.disable_static() - x = paddle.to_variable(self.x) + x = paddle.to_tensor(self.x) y = F.log_softmax(x, axis, dtype) self.assertTrue(np.allclose(y.numpy(), ref_out), True) paddle.enable_static() diff --git a/python/paddle/fluid/tests/unittests/test_logsumexp.py b/python/paddle/fluid/tests/unittests/test_logsumexp.py index cf9203dffcbaa5da641b3f7cb8925ac9efcbe115..9032293070a9697aada6034d0b6028eeccc310dd 100644 --- a/python/paddle/fluid/tests/unittests/test_logsumexp.py +++ b/python/paddle/fluid/tests/unittests/test_logsumexp.py @@ -111,7 +111,7 @@ class TestLogsumexpAPI(unittest.TestCase): self.assertTrue(np.allclose(res[0], out_ref)) paddle.disable_static(self.place) - x = paddle.to_variable(self.x) + x = paddle.to_tensor(self.x) out = paddle.logsumexp(x, axis, keepdim) self.assertTrue(np.allclose(out.numpy(), out_ref)) paddle.enable_static() @@ -126,7 +126,7 @@ class TestLogsumexpAPI(unittest.TestCase): def test_alias(self): paddle.disable_static(self.place) - x = paddle.to_variable(self.x) + x = paddle.to_tensor(self.x) out1 = paddle.logsumexp(x) out2 = paddle.tensor.logsumexp(x) out3 = paddle.tensor.math.logsumexp(x) diff --git a/python/paddle/fluid/tests/unittests/test_math_op_patch_var_base.py b/python/paddle/fluid/tests/unittests/test_math_op_patch_var_base.py index a70862f40197c513a0cd04753553264708ee2a1c..5df04ddfc3d26492323153b8b26658db4325b7ec 100644 --- a/python/paddle/fluid/tests/unittests/test_math_op_patch_var_base.py +++ b/python/paddle/fluid/tests/unittests/test_math_op_patch_var_base.py @@ -19,6 +19,7 @@ import paddle import paddle.fluid as fluid import numpy as np import six +import inspect class TestMathOpPatchesVarBase(unittest.TestCase): @@ -302,21 +303,13 @@ class TestMathOpPatchesVarBase(unittest.TestCase): self.assertEqual(x.dim(), 2) self.assertEqual(x.ndimension(), 2) self.assertEqual(x.ndim, 2) - self.assertEqual(x.size(), [2, 3]) - self.assertTrue( - np.array_equal(x.sigmoid().numpy(), fluid.layers.sigmoid(x).numpy( - ))) - self.assertTrue( - np.array_equal(x.log_sigmoid().numpy(), - fluid.layers.logsigmoid(x).numpy())) + self.assertEqual(x.size, 6) + self.assertEqual(x.numel(), 6) self.assertTrue(np.array_equal(x.exp().numpy(), paddle.exp(x).numpy())) self.assertTrue( np.array_equal(x.tanh().numpy(), paddle.tanh(x).numpy())) self.assertTrue( np.array_equal(x.atan().numpy(), paddle.atan(x).numpy())) - self.assertTrue( - np.array_equal(x.tanh_shrink().numpy(), - fluid.layers.tanh_shrink(x).numpy())) self.assertTrue(np.array_equal(x.abs().numpy(), paddle.abs(x).numpy())) m = x.abs() self.assertTrue( @@ -344,12 +337,6 @@ class TestMathOpPatchesVarBase(unittest.TestCase): ))) self.assertTrue( np.array_equal(x.square().numpy(), paddle.square(x).numpy())) - self.assertTrue( - np.array_equal(x.softplus().numpy(), - fluid.layers.softplus(x).numpy())) - self.assertTrue( - np.array_equal(x.softsign().numpy(), - fluid.layers.softsign(x).numpy())) self.assertTrue( np.array_equal(x.rank().numpy(), paddle.rank(x).numpy())) self.assertTrue( @@ -422,6 +409,8 @@ class TestMathOpPatchesVarBase(unittest.TestCase): self.assertTrue(np.array_equal(x.reciprocal(), paddle.reciprocal(x))) # 2. Binary operation + self.assertTrue( + np.array_equal(x.divide(y).numpy(), paddle.divide(x, y).numpy())) self.assertTrue( np.array_equal( x.matmul(y, True, False).numpy(), @@ -501,6 +490,73 @@ class TestMathOpPatchesVarBase(unittest.TestCase): self.assertTrue( np.array_equal( x.logical_and(y).numpy(), paddle.logical_and(x, y).numpy())) + a = paddle.to_tensor([[1, 2], [3, 4]]) + b = paddle.to_tensor([[4, 3], [2, 1]]) + self.assertTrue( + np.array_equal( + x.where(a, b).numpy(), paddle.where(x, a, b).numpy())) + + self.assertTrue(inspect.ismethod(a.dot)) + self.assertTrue(inspect.ismethod(a.elementwise_add)) + self.assertTrue(inspect.ismethod(a.elementwise_div)) + self.assertTrue(inspect.ismethod(a.elementwise_floordiv)) + self.assertTrue(inspect.ismethod(a.elementwise_mod)) + self.assertTrue(inspect.ismethod(a.elementwise_sub)) + self.assertTrue(inspect.ismethod(a.logsumexp)) + self.assertTrue(inspect.ismethod(a.multiplex)) + self.assertTrue(inspect.ismethod(a.prod)) + self.assertTrue(inspect.ismethod(a.reduce_max)) + self.assertTrue(inspect.ismethod(a.reduce_min)) + self.assertTrue(inspect.ismethod(a.reduce_prod)) + self.assertTrue(inspect.ismethod(a.reduce_sum)) + self.assertTrue(inspect.ismethod(a.scale)) + self.assertTrue(inspect.ismethod(a.stanh)) + self.assertTrue(inspect.ismethod(a.sums)) + self.assertTrue(inspect.ismethod(a.elementwise_sum)) + self.assertTrue(inspect.ismethod(a.max)) + self.assertTrue(inspect.ismethod(a.maximum)) + self.assertTrue(inspect.ismethod(a.min)) + self.assertTrue(inspect.ismethod(a.minimum)) + self.assertTrue(inspect.ismethod(a.floor_divide)) + self.assertTrue(inspect.ismethod(a.remainder)) + self.assertTrue(inspect.ismethod(a.floor_mod)) + self.assertTrue(inspect.ismethod(a.multiply)) + self.assertTrue(inspect.ismethod(a.logsumexp)) + self.assertTrue(inspect.ismethod(a.inverse)) + self.assertTrue(inspect.ismethod(a.log1p)) + self.assertTrue(inspect.ismethod(a.erf)) + self.assertTrue(inspect.ismethod(a.addcmul)) + self.assertTrue(inspect.ismethod(a.addmm)) + self.assertTrue(inspect.ismethod(a.clip)) + self.assertTrue(inspect.ismethod(a.trace)) + self.assertTrue(inspect.ismethod(a.kron)) + self.assertTrue(inspect.ismethod(a.isinf)) + self.assertTrue(inspect.ismethod(a.isnan)) + self.assertTrue(inspect.ismethod(a.concat)) + self.assertTrue(inspect.ismethod(a.broadcast_to)) + self.assertTrue(inspect.ismethod(a.scatter_nd_add)) + self.assertTrue(inspect.ismethod(a.scatter_nd)) + self.assertTrue(inspect.ismethod(a.shard_index)) + self.assertTrue(inspect.ismethod(a.chunk)) + self.assertTrue(inspect.ismethod(a.stack)) + self.assertTrue(inspect.ismethod(a.strided_slice)) + self.assertTrue(inspect.ismethod(a.unsqueeze)) + self.assertTrue(inspect.ismethod(a.unstack)) + self.assertTrue(inspect.ismethod(a.argmax)) + self.assertTrue(inspect.ismethod(a.argmin)) + self.assertTrue(inspect.ismethod(a.argsort)) + self.assertTrue(inspect.ismethod(a.has_inf)) + self.assertTrue(inspect.ismethod(a.has_nan)) + self.assertTrue(inspect.ismethod(a.masked_select)) + self.assertTrue(inspect.ismethod(a.topk)) + self.assertTrue(inspect.ismethod(a.index_select)) + self.assertTrue(inspect.ismethod(a.nonzero)) + self.assertTrue(inspect.ismethod(a.sort)) + self.assertTrue(inspect.ismethod(a.index_sample)) + self.assertTrue(inspect.ismethod(a.mean)) + self.assertTrue(inspect.ismethod(a.reduce_mean)) + self.assertTrue(inspect.ismethod(a.std)) + self.assertTrue(inspect.ismethod(a.numel)) if __name__ == '__main__': diff --git a/python/paddle/fluid/tests/unittests/test_matmul_op.py b/python/paddle/fluid/tests/unittests/test_matmul_op.py index 3eb822bfed89b80bccc08fe0d96b6c4b2f9b4ec4..2d5f098a7fe86439d8b829a3b11cf23dfe072b77 100644 --- a/python/paddle/fluid/tests/unittests/test_matmul_op.py +++ b/python/paddle/fluid/tests/unittests/test_matmul_op.py @@ -14,6 +14,7 @@ from __future__ import print_function +import paddle.fluid.core as core import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/fluid/tests/unittests/test_matmul_v2_op.py b/python/paddle/fluid/tests/unittests/test_matmul_v2_op.py index 884139a23d51c95c79439b91d501dc935baeae36..640771df23b726bd0a8a36b168bc5428fd953c45 100644 --- a/python/paddle/fluid/tests/unittests/test_matmul_v2_op.py +++ b/python/paddle/fluid/tests/unittests/test_matmul_v2_op.py @@ -65,15 +65,21 @@ class TestMatMulV2Op(OpTest): self.y_shape = (100, ) self.trans_x = False self.trans_y = False + + def init_kernel_type(self): self.dtype = "float64" def setUp(self): + self.init_kernel_type() self.config() self.op_type = "matmul_v2" x = np.random.random(self.x_shape).astype(self.dtype) y = np.random.random(self.y_shape).astype(self.dtype) + # -0.1 ~ 0.1 + x = -0.1 + 0.2 * x + y = -0.1 + 0.2 * y result = reference_matmul(x, y, self.trans_x, self.trans_y) - + result = result.astype(self.dtype) self.inputs = { 'X': x, 'Y': y, @@ -98,7 +104,6 @@ class TestMatMuklOp2(TestMatMulV2Op): self.y_shape = (1, 3, 2, 100) self.trans_x = False self.trans_y = True - self.dtype = "float64" class TestMatMuklOp3(TestMatMulV2Op): @@ -111,7 +116,6 @@ class TestMatMuklOp3(TestMatMulV2Op): self.y_shape = (1, 1, 100, 2) self.trans_x = False self.trans_y = False - self.dtype = "float64" class TestMatMuklOp4(TestMatMulV2Op): @@ -124,7 +128,6 @@ class TestMatMuklOp4(TestMatMulV2Op): self.y_shape = (1, 2, 100, 2) self.trans_x = False self.trans_y = False - self.dtype = "float64" class TestMatMuklOp5(TestMatMulV2Op): @@ -133,11 +136,10 @@ class TestMatMuklOp5(TestMatMulV2Op): """ def config(self): - self.x_shape = (1, 1, 100, 2) + self.x_shape = (1, 1, 100, 1) self.y_shape = (100, ) self.trans_x = True self.trans_y = False - self.dtype = "float64" class TestMatMuklOp6(TestMatMulV2Op): @@ -150,7 +152,6 @@ class TestMatMuklOp6(TestMatMulV2Op): self.y_shape = (100, ) self.trans_x = True self.trans_y = False - self.dtype = "float64" class TestMatMuklOp7(TestMatMulV2Op): @@ -163,7 +164,6 @@ class TestMatMuklOp7(TestMatMulV2Op): self.y_shape = (100, ) self.trans_x = False self.trans_y = False - self.dtype = "float64" class TestMatMuklOp8(TestMatMulV2Op): @@ -176,7 +176,6 @@ class TestMatMuklOp8(TestMatMulV2Op): self.y_shape = (1, 1, 100, 2) self.trans_x = False self.trans_y = False - self.dtype = "float64" class TestMatMuklOp9(TestMatMulV2Op): @@ -189,7 +188,6 @@ class TestMatMuklOp9(TestMatMulV2Op): self.y_shape = (2, 1, 2, 100) self.trans_x = False self.trans_y = True - self.dtype = "float64" class TestMatMuklOp10(TestMatMulV2Op): @@ -198,11 +196,10 @@ class TestMatMuklOp10(TestMatMulV2Op): """ def config(self): - self.x_shape = (1, 1, 2, 100) - self.y_shape = (1, 2, 100, 2) + self.x_shape = (1, 1, 25, 4) + self.y_shape = (1, 2, 4, 25) self.trans_x = False self.trans_y = False - self.dtype = "float64" class TestMatMuklOp11(TestMatMulV2Op): @@ -215,7 +212,6 @@ class TestMatMuklOp11(TestMatMulV2Op): self.y_shape = (1, 1, 100, 2) self.trans_x = False self.trans_y = False - self.dtype = "float64" class TestMatMuklOp12(TestMatMulV2Op): @@ -224,11 +220,10 @@ class TestMatMuklOp12(TestMatMulV2Op): """ def config(self): - self.x_shape = (2, 1, 100, 2) - self.y_shape = (1, 1, 100, 2) + self.x_shape = (2, 1, 4, 25) + self.y_shape = (1, 1, 4, 25) self.trans_x = True self.trans_y = False - self.dtype = "float64" class TestMatMuklOp13(TestMatMulV2Op): @@ -237,11 +232,10 @@ class TestMatMuklOp13(TestMatMulV2Op): """ def config(self): - self.x_shape = (2, 2, 100, 2) - self.y_shape = (2, 2, 100, 2) + self.x_shape = (2, 2, 2, 50) + self.y_shape = (2, 2, 2, 50) self.trans_x = True self.trans_y = False - self.dtype = "float64" class TestMatMuklOp14(TestMatMulV2Op): @@ -254,7 +248,6 @@ class TestMatMuklOp14(TestMatMulV2Op): self.y_shape = (1, 2, 2, 100, 2) self.trans_x = True self.trans_y = False - self.dtype = "float64" class TestMatMuklOp15(TestMatMulV2Op): @@ -267,7 +260,6 @@ class TestMatMuklOp15(TestMatMulV2Op): self.y_shape = (1, 2, 2, 100, 1) self.trans_x = False self.trans_y = False - self.dtype = "float64" class TestMatMuklOp16(TestMatMulV2Op): @@ -277,10 +269,9 @@ class TestMatMuklOp16(TestMatMulV2Op): def config(self): self.x_shape = (100) - self.y_shape = (1, 2, 2, 100, 1) + self.y_shape = (1, 2, 2, 100, 2) self.trans_x = False self.trans_y = False - self.dtype = "float64" class TestMatMuklOp17(TestMatMulV2Op): @@ -293,7 +284,54 @@ class TestMatMuklOp17(TestMatMulV2Op): self.y_shape = (100) self.trans_x = False self.trans_y = False - self.dtype = "float64" + + +#--------------------test matmul fp16-------------------- + + +def create_test_fp16_class(parent, atol=0.001, max_relative_error=1.0): + @unittest.skipIf(not core.is_compiled_with_cuda(), + "core is not compiled with CUDA") + class TestMatMulOpFp16Case(parent): + def init_kernel_type(self): + self.dtype = np.float16 + + def test_check_output(self): + if core.is_compiled_with_cuda(): + place = core.CUDAPlace(0) + if core.is_float16_supported(place): + self.check_output_with_place(place, atol=atol) + + def test_check_grad(self): + place = core.CUDAPlace(0) + if core.is_float16_supported(place): + self.check_grad_with_place( + place, ['X', 'Y'], + 'Out', + max_relative_error=max_relative_error) + + cls_name = "{0}_{1}".format(parent.__name__, "Fp16") + TestMatMulOpFp16Case.__name__ = cls_name + globals()[cls_name] = TestMatMulOpFp16Case + + +create_test_fp16_class(TestMatMulV2Op) +create_test_fp16_class(TestMatMuklOp2) +create_test_fp16_class(TestMatMuklOp3) +create_test_fp16_class(TestMatMuklOp4) +create_test_fp16_class(TestMatMuklOp5) +create_test_fp16_class(TestMatMuklOp6) +create_test_fp16_class(TestMatMuklOp7) +create_test_fp16_class(TestMatMuklOp8) +create_test_fp16_class(TestMatMuklOp9) +create_test_fp16_class(TestMatMuklOp10) +create_test_fp16_class(TestMatMuklOp11) +create_test_fp16_class(TestMatMuklOp12) +create_test_fp16_class(TestMatMuklOp13) +create_test_fp16_class(TestMatMuklOp14) +create_test_fp16_class(TestMatMuklOp15) +create_test_fp16_class(TestMatMuklOp16) +create_test_fp16_class(TestMatMuklOp17) class TestMatMulV2API(unittest.TestCase): @@ -331,6 +369,17 @@ class TestMatMulV2API(unittest.TestCase): y = paddle.to_tensor(input_y) result = paddle.matmul(x, y) + def test_dygraph_fp16(self): + if core.is_compiled_with_cuda(): + place = core.CUDAPlace(0) + if core.is_float16_supported(place): + with fluid.dygraph.guard(place): + input_x = np.random.random([4, 3]).astype("float16") + input_y = np.random.random([3, 4]).astype("float16") + x = paddle.to_tensor(input_x) + y = paddle.to_tensor(input_y) + result = paddle.matmul(x, y) + if __name__ == "__main__": unittest.main() diff --git a/python/paddle/fluid/tests/unittests/test_max_op.py b/python/paddle/fluid/tests/unittests/test_max_op.py index c9afc4bec66f2927a674ac15e807fe01f724c64f..4786d790b148177a9c687103260667309d6ec3d8 100644 --- a/python/paddle/fluid/tests/unittests/test_max_op.py +++ b/python/paddle/fluid/tests/unittests/test_max_op.py @@ -80,7 +80,7 @@ class ApiMaxTest(unittest.TestCase): def test_imperative_api(self): paddle.disable_static() np_x = np.array([10, 10]).astype('float64') - x = paddle.to_variable(np_x) + x = paddle.to_tensor(np_x) z = paddle.max(x, axis=0) np_z = z.numpy() z_expected = np.array(np.max(np_x, axis=0)) diff --git a/python/paddle/fluid/tests/unittests/test_maximum_op.py b/python/paddle/fluid/tests/unittests/test_maximum_op.py index 5645597007a00cac9c75ec1ae90bc00a5bc75f22..54657d7900e3d43a54adf755e9b213727766db7d 100644 --- a/python/paddle/fluid/tests/unittests/test_maximum_op.py +++ b/python/paddle/fluid/tests/unittests/test_maximum_op.py @@ -61,8 +61,8 @@ class ApiMaximumTest(unittest.TestCase): def test_dynamic_api(self): paddle.disable_static() np_x = np.array([10, 10]).astype('float64') - x = paddle.to_variable(self.input_x) - y = paddle.to_variable(self.input_y) + x = paddle.to_tensor(self.input_x) + y = paddle.to_tensor(self.input_y) z = paddle.maximum(x, y) np_z = z.numpy() z_expected = np.array(np.maximum(self.input_x, self.input_y)) @@ -73,8 +73,8 @@ class ApiMaximumTest(unittest.TestCase): np_x = np.random.rand(5, 4, 3, 2).astype("float64") np_y = np.random.rand(4, 3).astype("float64") - x = paddle.to_variable(self.input_x) - y = paddle.to_variable(self.input_y) + x = paddle.to_tensor(self.input_x) + y = paddle.to_tensor(self.input_y) result_1 = paddle.maximum(x, y, axis=1) result_2 = paddle.maximum(x, y, axis=-2) self.assertEqual((result_1.numpy() == result_2.numpy()).all(), True) diff --git a/python/paddle/fluid/tests/unittests/test_mean_op.py b/python/paddle/fluid/tests/unittests/test_mean_op.py index 29e79b096cf790858e8e07aedc5c6b76881e8f82..f0094e703cd0d2a8113f70ea99dc8e71cef5b86f 100644 --- a/python/paddle/fluid/tests/unittests/test_mean_op.py +++ b/python/paddle/fluid/tests/unittests/test_mean_op.py @@ -204,7 +204,7 @@ class TestMeanAPI(unittest.TestCase): paddle.disable_static(self.place) def test_case(x, axis=None, keepdim=False): - x_tensor = paddle.to_variable(x) + x_tensor = paddle.to_tensor(x) out = paddle.mean(x_tensor, axis, keepdim) if isinstance(axis, list): axis = tuple(axis) diff --git a/python/paddle/fluid/tests/unittests/test_min_op.py b/python/paddle/fluid/tests/unittests/test_min_op.py index b9eff05c5ea9fb585421b6f99bf55b3bb95bf9ff..9c15d7216352c20031b92263a0344ca6eac76c89 100644 --- a/python/paddle/fluid/tests/unittests/test_min_op.py +++ b/python/paddle/fluid/tests/unittests/test_min_op.py @@ -80,7 +80,7 @@ class ApiMinTest(unittest.TestCase): def test_imperative_api(self): paddle.disable_static() np_x = np.array([10, 10]).astype('float64') - x = paddle.to_variable(np_x) + x = paddle.to_tensor(np_x) z = paddle.min(x, axis=0) np_z = z.numpy() z_expected = np.array(np.min(np_x, axis=0)) diff --git a/python/paddle/fluid/tests/unittests/test_minimum_op.py b/python/paddle/fluid/tests/unittests/test_minimum_op.py index 4c08b7386ca2c5da04c0a289872dacf68a2ea040..a0673c82c5b341e550485ebdcee4e4616693d641 100644 --- a/python/paddle/fluid/tests/unittests/test_minimum_op.py +++ b/python/paddle/fluid/tests/unittests/test_minimum_op.py @@ -61,8 +61,8 @@ class ApiMinimumTest(unittest.TestCase): def test_dynamic_api(self): paddle.disable_static() np_x = np.array([10, 10]).astype('float64') - x = paddle.to_variable(self.input_x) - y = paddle.to_variable(self.input_y) + x = paddle.to_tensor(self.input_x) + y = paddle.to_tensor(self.input_y) z = paddle.minimum(x, y) np_z = z.numpy() z_expected = np.array(np.minimum(self.input_x, self.input_y)) @@ -73,8 +73,8 @@ class ApiMinimumTest(unittest.TestCase): np_x = np.random.rand(5, 4, 3, 2).astype("float64") np_y = np.random.rand(4, 3).astype("float64") - x = paddle.to_variable(self.input_x) - y = paddle.to_variable(self.input_y) + x = paddle.to_tensor(self.input_x) + y = paddle.to_tensor(self.input_y) result_1 = paddle.minimum(x, y, axis=1) result_2 = paddle.minimum(x, y, axis=-2) self.assertEqual((result_1.numpy() == result_2.numpy()).all(), True) diff --git a/python/paddle/fluid/tests/unittests/test_mse_loss.py b/python/paddle/fluid/tests/unittests/test_mse_loss.py index 753d96c44114a552f4bdd299602d7f13f672efbf..e327307e955308e78f6e9640681c842060a34882 100644 --- a/python/paddle/fluid/tests/unittests/test_mse_loss.py +++ b/python/paddle/fluid/tests/unittests/test_mse_loss.py @@ -205,8 +205,7 @@ class TestNNFunctionalMseLoss(unittest.TestCase): paddle.disable_static() dy_ret = paddle.nn.functional.mse_loss( - paddle.to_variable(input_np), - paddle.to_variable(target_np), 'mean') + paddle.to_tensor(input_np), paddle.to_tensor(target_np), 'mean') dy_result = dy_ret.numpy() sub = input_np - target_np @@ -240,8 +239,7 @@ class TestNNFunctionalMseLoss(unittest.TestCase): paddle.disable_static() dy_ret = paddle.nn.functional.mse_loss( - paddle.to_variable(input_np), - paddle.to_variable(target_np), 'sum') + paddle.to_tensor(input_np), paddle.to_tensor(target_np), 'sum') dy_result = dy_ret.numpy() sub = input_np - target_np @@ -275,8 +273,7 @@ class TestNNFunctionalMseLoss(unittest.TestCase): paddle.disable_static() dy_ret = paddle.nn.functional.mse_loss( - paddle.to_variable(input_np), - paddle.to_variable(target_np), 'none') + paddle.to_tensor(input_np), paddle.to_tensor(target_np), 'none') dy_result = dy_ret.numpy() sub = input_np - target_np diff --git a/python/paddle/fluid/tests/unittests/test_mul_op.py b/python/paddle/fluid/tests/unittests/test_mul_op.py index 5f223de1954f7b401ac031265cca8c2e661c7392..927383c1223d54753dd59b3a6c40ea0b9594c378 100644 --- a/python/paddle/fluid/tests/unittests/test_mul_op.py +++ b/python/paddle/fluid/tests/unittests/test_mul_op.py @@ -18,6 +18,8 @@ import unittest import numpy as np import paddle import paddle.fluid.core as core +import sys +sys.path.append("..") from op_test import OpTest import paddle.fluid as fluid from paddle.fluid import Program, program_guard @@ -175,57 +177,5 @@ class TestFP16MulOp2(TestMulOp2): no_grad_set=set('Y')) -@unittest.skipIf(not core.is_compiled_with_xpu(), - "core is not compiled with XPU") -class TestXPUMulOp1(TestMulOp): - def init_dtype_type(self): - self.dtype = np.float32 - - def test_check_output(self): - place = core.XPUPlace(0) - self.check_output_with_place(place, atol=1e-1) - - def test_check_grad_normal(self): - place = core.XPUPlace(0) - self.check_grad_with_place( - place, ['X', 'Y'], 'Out', max_relative_error=0.5) - - def test_check_grad_ingore_x(self): - place = core.XPUPlace(0) - self.check_grad_with_place( - place, ['Y'], 'Out', max_relative_error=0.5, no_grad_set=set("X")) - - def test_check_grad_ingore_y(self): - place = core.XPUPlace(0) - self.check_grad_with_place( - place, ['X'], 'Out', max_relative_error=0.5, no_grad_set=set('Y')) - - -@unittest.skipIf(not core.is_compiled_with_xpu(), - "core is not compiled with XPU") -class TestXPUMulOp2(TestMulOp2): - def init_dtype_type(self): - self.dtype = np.float32 - - def test_check_output(self): - place = core.XPUPlace(0) - self.check_output_with_place(place, atol=2e-1) - - def test_check_grad_normal(self): - place = core.XPUPlace(0) - self.check_grad_with_place( - place, ['X', 'Y'], 'Out', max_relative_error=0.9) - - def test_check_grad_ingore_x(self): - place = core.XPUPlace(0) - self.check_grad_with_place( - place, ['Y'], 'Out', max_relative_error=0.5, no_grad_set=set("X")) - - def test_check_grad_ingore_y(self): - place = core.XPUPlace(0) - self.check_grad_with_place( - place, ['X'], 'Out', max_relative_error=0.9, no_grad_set=set('Y')) - - if __name__ == "__main__": unittest.main() diff --git a/python/paddle/fluid/tests/unittests/test_multiprocess_dataloader_dynamic.py b/python/paddle/fluid/tests/unittests/test_multiprocess_dataloader_dynamic.py index 0706eb53d537da58a5a248e060759b748b30af19..1bb720673e4f33ac7a866cdf73a885741ee08e7e 100644 --- a/python/paddle/fluid/tests/unittests/test_multiprocess_dataloader_dynamic.py +++ b/python/paddle/fluid/tests/unittests/test_multiprocess_dataloader_dynamic.py @@ -76,7 +76,6 @@ class TestDygraphDataLoader(unittest.TestCase): dataset = RandomDataset(SAMPLE_NUM, CLASS_NUM) dataloader = DataLoader( dataset, - places=places, num_workers=num_workers, batch_size=BATCH_SIZE, drop_last=True) diff --git a/python/paddle/fluid/tests/unittests/test_multiprocess_dataloader_iterable_dataset_dynamic.py b/python/paddle/fluid/tests/unittests/test_multiprocess_dataloader_iterable_dataset_dynamic.py index 8f0209406fdff1d4f7659b15d5e6bd8af74fd0f3..af332d8e43209251c4d3751f2689266f0fcd6c1e 100644 --- a/python/paddle/fluid/tests/unittests/test_multiprocess_dataloader_iterable_dataset_dynamic.py +++ b/python/paddle/fluid/tests/unittests/test_multiprocess_dataloader_iterable_dataset_dynamic.py @@ -76,7 +76,6 @@ class TestDygraphDataLoader(unittest.TestCase): dataset = RandomDataset(SAMPLE_NUM, CLASS_NUM) dataloader = DataLoader( dataset, - places=places, num_workers=num_workers, batch_size=BATCH_SIZE, drop_last=True) diff --git a/python/paddle/fluid/tests/unittests/test_nll_loss.py b/python/paddle/fluid/tests/unittests/test_nll_loss.py index e7154193beaf788a9d20f3c131b1df3420918266..c07bf949af39e38222b05394f65977c7027e2f13 100644 --- a/python/paddle/fluid/tests/unittests/test_nll_loss.py +++ b/python/paddle/fluid/tests/unittests/test_nll_loss.py @@ -909,8 +909,8 @@ class TestNLLLossInvalidArgs(unittest.TestCase): with fluid.dygraph.guard(): x_np = np.random.random(size=(5, )).astype(np.float64) label_np = np.random.randint(0, 10, size=(5, )).astype(np.int64) - x = paddle.to_variable(x_np) - label = paddle.to_variable(label_np) + x = paddle.to_tensor(x_np) + label = paddle.to_tensor(label_np) nll_loss = paddle.nn.loss.NLLLoss() res = nll_loss(x, label) @@ -933,8 +933,8 @@ class TestNLLLossInvalidArgs(unittest.TestCase): with fluid.dygraph.guard(): x_np = np.random.random(size=(5, 3)).astype(np.float64) label_np = np.random.randint(0, 3, size=(5, )).astype(np.int64) - x = paddle.to_variable(x_np) - label = paddle.to_variable(label_np) + x = paddle.to_tensor(x_np) + label = paddle.to_tensor(label_np) nll_loss = paddle.nn.loss.NLLLoss(reduction='') res = nll_loss(x, label) @@ -957,8 +957,8 @@ class TestNLLLossInvalidArgs(unittest.TestCase): with fluid.dygraph.guard(): x_np = np.random.random(size=(5, 3)).astype(np.float64) label_np = np.random.randint(0, 3, size=(5, )).astype(np.int64) - x = paddle.to_variable(x_np) - label = paddle.to_variable(label_np) + x = paddle.to_tensor(x_np) + label = paddle.to_tensor(label_np) res = paddle.nn.functional.nll_loss(x, label, reduction='') self.assertRaises( diff --git a/python/paddle/fluid/tests/unittests/test_nn_margin_rank_loss.py b/python/paddle/fluid/tests/unittests/test_nn_margin_rank_loss.py index 0ebe769fb9bce1aee8412ccebc216c2c85e97775..8ee3b2ac20320c3b82eb7bb81509a9a84ce959a7 100644 --- a/python/paddle/fluid/tests/unittests/test_nn_margin_rank_loss.py +++ b/python/paddle/fluid/tests/unittests/test_nn_margin_rank_loss.py @@ -101,9 +101,9 @@ def create_test_case(margin, reduction): def run_dynamic_functional_api(self, place): paddle.disable_static(place) - x = paddle.to_variable(self.x_data) - y = paddle.to_variable(self.y_data) - label = paddle.to_variable(self.label_data) + x = paddle.to_tensor(self.x_data) + y = paddle.to_tensor(self.y_data) + label = paddle.to_tensor(self.label_data) result = paddle.nn.functional.margin_ranking_loss(x, y, label, margin, reduction) @@ -117,9 +117,9 @@ def create_test_case(margin, reduction): def run_dynamic_api(self, place): paddle.disable_static(place) - x = paddle.to_variable(self.x_data) - y = paddle.to_variable(self.y_data) - label = paddle.to_variable(self.label_data) + x = paddle.to_tensor(self.x_data) + y = paddle.to_tensor(self.y_data) + label = paddle.to_tensor(self.label_data) margin_rank_loss = paddle.nn.loss.MarginRankingLoss( margin=margin, reduction=reduction) result = margin_rank_loss(x, y, label) @@ -134,9 +134,9 @@ def create_test_case(margin, reduction): def run_dynamic_broadcast_api(self, place): paddle.disable_static(place) label_data = np.random.choice([-1, 1], size=[10]).astype("float64") - x = paddle.to_variable(self.x_data) - y = paddle.to_variable(self.y_data) - label = paddle.to_variable(label_data) + x = paddle.to_tensor(self.x_data) + y = paddle.to_tensor(self.y_data) + label = paddle.to_tensor(label_data) margin_rank_loss = paddle.nn.loss.MarginRankingLoss( margin=margin, reduction=reduction) result = margin_rank_loss(x, y, label) diff --git a/python/paddle/fluid/tests/unittests/test_nn_sigmoid_op.py b/python/paddle/fluid/tests/unittests/test_nn_sigmoid_op.py index d52a1f5d5b16ca7e0d58230a1a17624e5bff0b02..90132a0923df716e9e2a0224671006cb62c1bba0 100644 --- a/python/paddle/fluid/tests/unittests/test_nn_sigmoid_op.py +++ b/python/paddle/fluid/tests/unittests/test_nn_sigmoid_op.py @@ -56,7 +56,7 @@ class TestNNSigmoidAPI(unittest.TestCase): def check_dynamic_api(self, place): paddle.disable_static(place) - x = paddle.to_variable(self.x) + x = paddle.to_tensor(self.x) mysigmoid = nn.Sigmoid() y = mysigmoid(x) self.assertTrue(np.allclose(y.numpy(), self.y)) @@ -94,7 +94,7 @@ class TestNNFunctionalSigmoidAPI(unittest.TestCase): def check_dynamic_api(self): paddle.disable_static() - x = paddle.to_variable(self.x) + x = paddle.to_tensor(self.x) y = functional.sigmoid(x) self.assertTrue(np.allclose(y.numpy(), self.y)) diff --git a/python/paddle/fluid/tests/unittests/test_norm_nn_grad.py b/python/paddle/fluid/tests/unittests/test_norm_nn_grad.py index a89b9fde7f92de0d493ad87a2f0950548ba8ff98..cb4bd16ce219f8a649716d8efff07eb82d5fffc4 100644 --- a/python/paddle/fluid/tests/unittests/test_norm_nn_grad.py +++ b/python/paddle/fluid/tests/unittests/test_norm_nn_grad.py @@ -130,5 +130,41 @@ class TestBatchNormDoubleGradCheckCase4(TestBatchNormDoubleGradCheck): self.shape = [2, 2, 3, 4, 5] +class TestBatchNormDoubleGradCheckCase5(TestBatchNormDoubleGradCheck): + @prog_scope() + def func(self, place): + prog = fluid.Program() + with fluid.program_guard(prog): + np.random.seed() + dtype = "float32" + eps = 0.005 + atol = 2e-4 + chn = self.shape[1] if self.data_layout == 'NCHW' else self.shape[ + -1] + x = layers.create_parameter(dtype=dtype, shape=self.shape, name='x') + z = fluid.layers.batch_norm( + input=x, + data_layout=self.data_layout, + use_global_stats=self.use_global_stats) + x_arr = np.random.uniform(-1, 1, self.shape).astype(dtype) + w, b = prog.global_block().all_parameters()[1:3] + w_arr = np.ones(chn).astype(dtype) + b_arr = np.zeros(chn).astype(dtype) + gradient_checker.double_grad_check( + [x, w, b], + z, + x_init=[x_arr, w_arr, b_arr], + atol=atol, + place=place, + eps=eps) + + +class TestBatchNormDoubleGradCheckCase6(TestBatchNormDoubleGradCheckCase5): + def init_test(self): + self.data_layout = 'NCHW' + self.use_global_stats = True + self.shape = [2, 3, 4, 5] + + if __name__ == "__main__": unittest.main() diff --git a/python/paddle/fluid/tests/unittests/test_numel_op.py b/python/paddle/fluid/tests/unittests/test_numel_op.py index 8512bc99e7451c73e5513b834fb6aa448717c646..800706e5965dffedadb61c384d946c8ed28bf826 100644 --- a/python/paddle/fluid/tests/unittests/test_numel_op.py +++ b/python/paddle/fluid/tests/unittests/test_numel_op.py @@ -76,8 +76,8 @@ class TestNumelOoAPI(unittest.TestCase): paddle.disable_static(paddle.CPUPlace()) input_1 = np.random.random([2, 1, 4, 5]).astype("int32") input_2 = np.random.random([1, 4, 5]).astype("int32") - x_1 = paddle.to_variable(input_1) - x_2 = paddle.to_variable(input_2) + x_1 = paddle.to_tensor(input_1) + x_2 = paddle.to_tensor(input_2) out_1 = paddle.numel(x_1) out_2 = paddle.numel(x_2) assert (np.array_equal(out_1.numpy().item(0), np.size(input_1))) diff --git a/python/paddle/fluid/tests/unittests/test_ones_like.py b/python/paddle/fluid/tests/unittests/test_ones_like.py index c1e6a3377710f98184e9541e287b911def89cd81..bb0d6f07bdbde18d155b66c7d014503747ebd887 100644 --- a/python/paddle/fluid/tests/unittests/test_ones_like.py +++ b/python/paddle/fluid/tests/unittests/test_ones_like.py @@ -63,7 +63,7 @@ class TestOnesLikeImpeartive(unittest.TestCase): place = fluid.CUDAPlace(0) if core.is_compiled_with_cuda( ) else fluid.CPUPlace() paddle.disable_static(place) - x = paddle.to_variable(np.ones(shape)) + x = paddle.to_tensor(np.ones(shape)) for dtype in [np.bool, np.float32, np.float64, np.int32, np.int64]: out = ones_like(x, dtype) self.assertEqual((out.numpy() == np.ones(shape, dtype)).all(), True) diff --git a/python/paddle/fluid/tests/unittests/test_paddle_save_load.py b/python/paddle/fluid/tests/unittests/test_paddle_save_load.py new file mode 100644 index 0000000000000000000000000000000000000000..fee3494558604fb00f767261c06d4b3612e62ad0 --- /dev/null +++ b/python/paddle/fluid/tests/unittests/test_paddle_save_load.py @@ -0,0 +1,145 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function + +import unittest +import numpy as np +import paddle +import paddle.nn as nn +import paddle.optimizer as opt + +BATCH_SIZE = 16 +BATCH_NUM = 4 +EPOCH_NUM = 4 +SEED = 10 + +IMAGE_SIZE = 784 +CLASS_NUM = 10 + + +def random_batch_reader(): + def _get_random_inputs_and_labels(): + np.random.seed(SEED) + image = np.random.random([BATCH_SIZE, IMAGE_SIZE]).astype('float32') + label = np.random.randint(0, CLASS_NUM - 1, ( + BATCH_SIZE, + 1, )).astype('int64') + return image, label + + def __reader__(): + for _ in range(BATCH_NUM): + batch_image, batch_label = _get_random_inputs_and_labels() + batch_image = paddle.to_tensor(batch_image) + batch_label = paddle.to_tensor(batch_label) + yield batch_image, batch_label + + return __reader__ + + +class LinearNet(nn.Layer): + def __init__(self): + super(LinearNet, self).__init__() + self._linear = nn.Linear(IMAGE_SIZE, CLASS_NUM) + + def forward(self, x): + return self._linear(x) + + +def train(layer, loader, loss_fn, opt): + for epoch_id in range(EPOCH_NUM): + for batch_id, (image, label) in enumerate(loader()): + out = layer(image) + loss = loss_fn(out, label) + loss.backward() + opt.step() + opt.clear_grad() + + +class TestSaveLoad(unittest.TestCase): + def setUp(self): + # enable dygraph mode + paddle.disable_static() + + # config seed + paddle.manual_seed(SEED) + paddle.framework.random._manual_program_seed(SEED) + + def build_and_train_model(self): + # create network + layer = LinearNet() + loss_fn = nn.CrossEntropyLoss() + + adam = opt.Adam(learning_rate=0.001, parameters=layer.parameters()) + + # create data loader + # TODO: using new DataLoader cause unknown Timeout on windows, replace it + loader = random_batch_reader() + + # train + train(layer, loader, loss_fn, adam) + + return layer, adam + + def check_load_state_dict(self, orig_dict, load_dict): + for var_name, value in orig_dict.items(): + self.assertTrue(np.array_equal(value.numpy(), load_dict[var_name])) + + def test_save_load(self): + layer, opt = self.build_and_train_model() + + # save + layer_save_path = "test_paddle_save_load.linear.pdparams" + opt_save_path = "test_paddle_save_load.linear.pdopt" + layer_state_dict = layer.state_dict() + opt_state_dict = opt.state_dict() + + paddle.save(layer_state_dict, layer_save_path) + paddle.save(opt_state_dict, opt_save_path) + + # load + load_layer_state_dict = paddle.load(layer_save_path) + load_opt_state_dict = paddle.load(opt_save_path) + + self.check_load_state_dict(layer_state_dict, load_layer_state_dict) + self.check_load_state_dict(opt_state_dict, load_opt_state_dict) + + # test save load in static mode + paddle.enable_static() + static_save_path = "static_mode_test/test_paddle_save_load.linear.pdparams" + paddle.save(layer_state_dict, static_save_path) + load_static_state_dict = paddle.load(static_save_path) + self.check_load_state_dict(layer_state_dict, load_static_state_dict) + + # error test cases, some tests relay base test above + # 1. test save obj not dict error + test_list = [1, 2, 3] + with self.assertRaises(NotImplementedError): + paddle.save(test_list, "not_dict_error_path") + + # 2. test save path format error + with self.assertRaises(ValueError): + paddle.save(layer_state_dict, "test_paddle_save_load.linear.model/") + + # 3. test load path not exist error + with self.assertRaises(ValueError): + paddle.load("test_paddle_save_load.linear.params") + + # 4. test load old save path error + with self.assertRaises(ValueError): + paddle.load("test_paddle_save_load.linear") + + +if __name__ == '__main__': + unittest.main() diff --git a/python/paddle/fluid/tests/unittests/test_pairwise_distance.py b/python/paddle/fluid/tests/unittests/test_pairwise_distance.py index baf0efa6ec2e7edafb8d331423a7b47155283c21..cf138e67726163d3d1c990a180fa229b88fed99f 100644 --- a/python/paddle/fluid/tests/unittests/test_pairwise_distance.py +++ b/python/paddle/fluid/tests/unittests/test_pairwise_distance.py @@ -48,8 +48,8 @@ def test_static(x_np, y_np, p=2.0, epsilon=1e-6, keepdim=False): def test_dygraph(x_np, y_np, p=2.0, epsilon=1e-6, keepdim=False): paddle.disable_static() - x = paddle.to_variable(x_np) - y = paddle.to_variable(y_np) + x = paddle.to_tensor(x_np) + y = paddle.to_tensor(y_np) dist = paddle.nn.layer.distance.PairwiseDistance( p=p, epsilon=epsilon, keepdim=keepdim) distance = dist(x, y) diff --git a/python/paddle/fluid/tests/unittests/test_parallel_executor_mnist.py b/python/paddle/fluid/tests/unittests/test_parallel_executor_mnist.py index a2f1d77460819a933e8ab536d0ebc7dd32bedf3f..da7e30ff10643278eb355c65157a02a8fae6cff3 100644 --- a/python/paddle/fluid/tests/unittests/test_parallel_executor_mnist.py +++ b/python/paddle/fluid/tests/unittests/test_parallel_executor_mnist.py @@ -124,8 +124,10 @@ class TestMNIST(TestParallelExecutorBase): def test_simple_fc_with_new_strategy(self): # use_cuda, use_reduce - self._compare_reduce_and_allreduce(simple_fc_net, True) - self._compare_reduce_and_allreduce(simple_fc_net, False) + # NOTE: the computation result of nccl_reduce is non-deterministic, + # related issue: https://github.com/NVIDIA/nccl/issues/157 + self._compare_reduce_and_allreduce(simple_fc_net, True, 1e-5, 1e-2) + self._compare_reduce_and_allreduce(simple_fc_net, False, 1e-5, 1e-2) def check_simple_fc_parallel_accuracy(self, use_cuda): if use_cuda and not core.is_compiled_with_cuda(): @@ -179,7 +181,7 @@ class TestMNIST(TestParallelExecutorBase): # NOTE: the computation result of nccl_reduce is non-deterministic, # related issue: https://github.com/NVIDIA/nccl/issues/157 self._compare_reduce_and_allreduce(fc_with_batchnorm, True, 1e-5, 1e-2) - self._compare_reduce_and_allreduce(fc_with_batchnorm, False) + self._compare_reduce_and_allreduce(fc_with_batchnorm, False, 1e-5, 1e-2) if __name__ == '__main__': diff --git a/python/paddle/fluid/tests/unittests/test_pool1d_api.py b/python/paddle/fluid/tests/unittests/test_pool1d_api.py index 25216175d59935535a352b02afc3c8f371cedd63..c1169dfc5210ac80a709afa06d3bf9a470a785b0 100644 --- a/python/paddle/fluid/tests/unittests/test_pool1d_api.py +++ b/python/paddle/fluid/tests/unittests/test_pool1d_api.py @@ -195,6 +195,23 @@ class TestPool1d_API(unittest.TestCase): result = max_pool1d_dg(input) self.assertTrue(np.allclose(result.numpy(), result_np)) + def check_max_dygraph_return_index_results(self, place): + with fluid.dygraph.guard(place): + input_np = np.random.random([2, 3, 32]).astype("float32") + input = fluid.dygraph.to_variable(input_np) + result, index = F.max_pool1d( + input, kernel_size=2, stride=2, padding=0, return_indices=True) + + result_np = max_pool1D_forward_naive( + input_np, ksize=[2], strides=[2], paddings=[0]) + + self.assertTrue(np.allclose(result.numpy(), result_np)) + + max_pool1d_dg = paddle.nn.layer.MaxPool1d( + kernel_size=2, stride=None, padding=0) + result = max_pool1d_dg(input) + self.assertTrue(np.allclose(result.numpy(), result_np)) + def check_max_dygraph_padding_same(self, place): with fluid.dygraph.guard(place): input_np = np.random.random([2, 3, 32]).astype("float32") @@ -228,6 +245,7 @@ class TestPool1d_API(unittest.TestCase): self.check_avg_static_results(place) self.check_max_dygraph_padding_same(place) self.check_avg_dygraph_padding_same(place) + self.check_max_dygraph_return_index_results(place) class TestPool2dError_API(unittest.TestCase): diff --git a/python/paddle/fluid/tests/unittests/test_randn_op.py b/python/paddle/fluid/tests/unittests/test_randn_op.py index 9d2c03f3bba914d8f6b06b54ce0e19c168edb9e3..4ddd98a8a73424d3dee5ff640a73f5b49e4453c5 100644 --- a/python/paddle/fluid/tests/unittests/test_randn_op.py +++ b/python/paddle/fluid/tests/unittests/test_randn_op.py @@ -63,7 +63,7 @@ class TestRandnOpForDygraph(unittest.TestCase): dim_2 = paddle.fill_constant([1], "int32", 50) x3 = paddle.randn(shape=[dim_1, dim_2, 784]) - var_shape = paddle.to_variable(np.array(shape)) + var_shape = paddle.to_tensor(np.array(shape)) x4 = paddle.randn(var_shape) for out in [x1, x2, x3, x4]: diff --git a/python/paddle/fluid/tests/unittests/test_retain_graph.py b/python/paddle/fluid/tests/unittests/test_retain_graph.py index 9abbee173852baf9db998aad3b71edabdb3e11ed..98c7e3800c20c900b9cdcb01eacd7ab20a612780 100644 --- a/python/paddle/fluid/tests/unittests/test_retain_graph.py +++ b/python/paddle/fluid/tests/unittests/test_retain_graph.py @@ -105,8 +105,8 @@ class TestRetainGraph(unittest.TestCase): A = np.random.rand(2, 3, 32, 32).astype('float32') B = np.random.rand(2, 3, 32, 32).astype('float32') - realA = paddle.to_variable(A) - realB = paddle.to_variable(B) + realA = paddle.to_tensor(A) + realB = paddle.to_tensor(B) fakeB = g(realA) optim_d.clear_gradients() diff --git a/python/paddle/fluid/tests/unittests/test_sort_op.py b/python/paddle/fluid/tests/unittests/test_sort_op.py index 015b72fd1c5275f758a109451110f61b97c4a0c7..366e0c7a3fa3ee714162e6041aa0d52dbfb30746 100644 --- a/python/paddle/fluid/tests/unittests/test_sort_op.py +++ b/python/paddle/fluid/tests/unittests/test_sort_op.py @@ -72,14 +72,14 @@ class TestSortDygraph(unittest.TestCase): def test_api_0(self): paddle.disable_static(self.place) - var_x = paddle.to_variable(self.input_data) + var_x = paddle.to_tensor(self.input_data) out = paddle.sort(var_x) self.assertEqual((np.sort(self.input_data) == out.numpy()).all(), True) paddle.enable_static() def test_api_1(self): paddle.disable_static(self.place) - var_x = paddle.to_variable(self.input_data) + var_x = paddle.to_tensor(self.input_data) out = paddle.sort(var_x, axis=-1) self.assertEqual( (np.sort( diff --git a/python/paddle/fluid/tests/unittests/test_tile_op.py b/python/paddle/fluid/tests/unittests/test_tile_op.py index 5aaf31993448ab0ff0c69f648cfa84c62d3e198b..b0f065a26a006ee3553a84938fb5b6b2db7b3172 100644 --- a/python/paddle/fluid/tests/unittests/test_tile_op.py +++ b/python/paddle/fluid/tests/unittests/test_tile_op.py @@ -230,13 +230,13 @@ class TestTileAPI(unittest.TestCase): def test_api(self): with fluid.dygraph.guard(): np_x = np.random.random([12, 14]).astype("float32") - x = paddle.to_variable(np_x) + x = paddle.to_tensor(np_x) positive_2 = np.array([2]).astype("int32") - positive_2 = paddle.to_variable(positive_2) + positive_2 = paddle.to_tensor(positive_2) repeat_times = np.array([2, 3]).astype("int32") - repeat_times = paddle.to_variable(repeat_times) + repeat_times = paddle.to_tensor(repeat_times) out_1 = paddle.tile(x, repeat_times=[2, 3]) out_2 = paddle.tile(x, repeat_times=[positive_2, 3]) diff --git a/python/paddle/fluid/tests/unittests/test_transformer_api.py b/python/paddle/fluid/tests/unittests/test_transformer_api.py index bd76edc9d8cadf14c6cf224b7708ff4acd6efef4..067d1ea5f73bf7d7af8a3511fa18dbc38b148656 100644 --- a/python/paddle/fluid/tests/unittests/test_transformer_api.py +++ b/python/paddle/fluid/tests/unittests/test_transformer_api.py @@ -234,23 +234,23 @@ class TestTransformer(unittest.TestCase): if cache_dict: if 'k' and 'v' in cache_dict: cache_obj = multi_head_attn.Cache( - paddle.to_variable(cache_dict['k']), - paddle.to_variable(cache_dict['v'])) + paddle.to_tensor(cache_dict['k']), + paddle.to_tensor(cache_dict['v'])) elif 'static_k' and 'static_v' in cache_dict: cache_obj = multi_head_attn.StaticCache( - paddle.to_variable(cache_dict['static_k']), - paddle.to_variable(cache_dict['static_v'])) + paddle.to_tensor(cache_dict['static_k']), + paddle.to_tensor(cache_dict['static_v'])) if attn_mask is not None: attn_output = multi_head_attn( - paddle.to_variable(query), - paddle.to_variable(key), - paddle.to_variable(value), - paddle.to_variable(attn_mask), cache_obj) + paddle.to_tensor(query), + paddle.to_tensor(key), + paddle.to_tensor(value), + paddle.to_tensor(attn_mask), cache_obj) else: attn_output = multi_head_attn( - paddle.to_variable(query), - paddle.to_variable(key), - paddle.to_variable(value), attn_mask, cache_obj) + paddle.to_tensor(query), + paddle.to_tensor(key), + paddle.to_tensor(value), attn_mask, cache_obj) attn_output = attn_output[0] if cache_dict else attn_output # implementation by numpy @@ -296,16 +296,16 @@ class TestTransformer(unittest.TestCase): attn_dropout, act_dropout) encoder_output = encoder_layer( - paddle.to_variable(src), - paddle.to_variable(src_mask)) # paddle.to_variable(src_mask)) + paddle.to_tensor(src), + paddle.to_tensor(src_mask)) # paddle.to_tensor(src_mask)) # 4.numpy: # paddle self attention self_attn = MultiHeadAttention( d_model, n_head, dropout=attn_dropout) attn_output = self_attn( - paddle.to_variable(src), - paddle.to_variable(src), - paddle.to_variable(src), paddle.to_variable(src_mask)).numpy() + paddle.to_tensor(src), + paddle.to_tensor(src), + paddle.to_tensor(src), paddle.to_tensor(src_mask)).numpy() src = attn_output + residual src_norm = layer_norm(src, d_model, encoder_layer.norm1) @@ -348,13 +348,13 @@ class TestTransformer(unittest.TestCase): cache_objs = None if cache: cache_objs = decoder_layer.gen_cache( - paddle.to_variable(memory)) + paddle.to_tensor(memory)) decoder_output = decoder_layer( - paddle.to_variable(tgt), - paddle.to_variable(memory), - paddle.to_variable(tgt_mask), - paddle.to_variable(memory_mask), cache_objs) + paddle.to_tensor(tgt), + paddle.to_tensor(memory), + paddle.to_tensor(tgt_mask), + paddle.to_tensor(memory_mask), cache_objs) decoder_output = decoder_output[0].numpy( ) if cache else decoder_output.numpy() @@ -365,10 +365,10 @@ class TestTransformer(unittest.TestCase): self_attn_cache = cache_objs[ 0] if cache_objs is not None else None tgt = self_attn( - paddle.to_variable(tgt), - paddle.to_variable(tgt), - paddle.to_variable(tgt), - paddle.to_variable(tgt_mask), self_attn_cache) + paddle.to_tensor(tgt), + paddle.to_tensor(tgt), + paddle.to_tensor(tgt), + paddle.to_tensor(tgt_mask), self_attn_cache) tgt = tgt[0].numpy() if cache else tgt.numpy() @@ -380,10 +380,10 @@ class TestTransformer(unittest.TestCase): cross_attn_cache = cache_objs[ 1] if cache_objs is not None else None tgt = cross_attn( - paddle.to_variable(tgt_norm), - paddle.to_variable(memory), - paddle.to_variable(memory), - paddle.to_variable(memory_mask), cross_attn_cache) + paddle.to_tensor(tgt_norm), + paddle.to_tensor(memory), + paddle.to_tensor(memory), + paddle.to_tensor(memory_mask), cross_attn_cache) tgt = tgt[0].numpy() if cache else tgt.numpy() # postprocess @@ -416,7 +416,7 @@ class TestTransformer(unittest.TestCase): encoder = TransformerEncoder(encoder_layer, num_layers) # src, src_mask enc_output = encoder( - paddle.to_variable(src), paddle.to_variable(src_mask)) + paddle.to_tensor(src), paddle.to_tensor(src_mask)) def test_decoder(self): batch_size, d_model, n_head, dim_feedforward, dropout, _, _, source_length, target_length = generate_basic_params( @@ -438,9 +438,9 @@ class TestTransformer(unittest.TestCase): decoder = TransformerDecoder(decoder_layer, num_layers) output = decoder( - paddle.to_variable(tgt), - paddle.to_variable(memory), - paddle.to_variable(tgt_mask), paddle.to_variable(memory_mask)) + paddle.to_tensor(tgt), + paddle.to_tensor(memory), + paddle.to_tensor(tgt_mask), paddle.to_tensor(memory_mask)) def test_transformer(self): batch_size, d_model, n_head, dim_feedforward, dropout, _, _, source_length, target_length = generate_basic_params( @@ -453,24 +453,24 @@ class TestTransformer(unittest.TestCase): n_head, dim_feedforward=dim_feedforward, dropout=dropout) - src = paddle.to_variable( + src = paddle.to_tensor( np.random.rand(batch_size, source_length, d_model).astype( "float32")) - tgt = paddle.to_variable( + tgt = paddle.to_tensor( np.random.rand(batch_size, target_length, d_model).astype( "float32")) src_mask = np.zeros((batch_size, n_head, source_length, source_length)).astype("float32") src_mask[0][0][0][0] = -np.inf - src_mask = paddle.to_variable(src_mask) + src_mask = paddle.to_tensor(src_mask) tgt_mask = np.zeros((batch_size, n_head, target_length, target_length)).astype("float32") tgt_mask[0][0][0][0] = -1e9 memory_mask = np.zeros((batch_size, n_head, target_length, source_length)).astype("float32") memory_mask[0][0][0][0] = -1e9 - tgt_mask, memory_mask = paddle.to_variable( - tgt_mask), paddle.to_variable(memory_mask) + tgt_mask, memory_mask = paddle.to_tensor( + tgt_mask), paddle.to_tensor(memory_mask) trans_output = transformer(src, tgt, src_mask, tgt_mask, memory_mask) @@ -487,24 +487,24 @@ class TestTransformer(unittest.TestCase): dropout=dropout, weight_attr=[None], bias_attr=[False]) - src = paddle.to_variable( + src = paddle.to_tensor( np.random.rand(batch_size, source_length, d_model).astype( "float32")) - tgt = paddle.to_variable( + tgt = paddle.to_tensor( np.random.rand(batch_size, target_length, d_model).astype( "float32")) src_mask = np.zeros((batch_size, n_head, source_length, source_length)).astype("float32") src_mask[0][0][0][0] = -np.inf - src_mask = paddle.to_variable(src_mask) + src_mask = paddle.to_tensor(src_mask) tgt_mask = np.zeros((batch_size, n_head, target_length, target_length)).astype("float32") tgt_mask[0][0][0][0] = -1e9 memory_mask = np.zeros((batch_size, n_head, target_length, source_length)).astype("float32") memory_mask[0][0][0][0] = -1e9 - tgt_mask, memory_mask = paddle.to_variable( - tgt_mask), paddle.to_variable(memory_mask) + tgt_mask, memory_mask = paddle.to_tensor( + tgt_mask), paddle.to_tensor(memory_mask) trans_output = transformer(src, tgt, src_mask, tgt_mask, memory_mask) @@ -521,24 +521,24 @@ class TestTransformer(unittest.TestCase): dropout=dropout, weight_attr=[None, None], bias_attr=[False, False]) - src = paddle.to_variable( + src = paddle.to_tensor( np.random.rand(batch_size, source_length, d_model).astype( "float32")) - tgt = paddle.to_variable( + tgt = paddle.to_tensor( np.random.rand(batch_size, target_length, d_model).astype( "float32")) src_mask = np.zeros((batch_size, n_head, source_length, source_length)).astype("float32") src_mask[0][0][0][0] = -np.inf - src_mask = paddle.to_variable(src_mask) + src_mask = paddle.to_tensor(src_mask) tgt_mask = np.zeros((batch_size, n_head, target_length, target_length)).astype("float32") tgt_mask[0][0][0][0] = -1e9 memory_mask = np.zeros((batch_size, n_head, target_length, source_length)).astype("float32") memory_mask[0][0][0][0] = -1e9 - tgt_mask, memory_mask = paddle.to_variable( - tgt_mask), paddle.to_variable(memory_mask) + tgt_mask, memory_mask = paddle.to_tensor( + tgt_mask), paddle.to_tensor(memory_mask) trans_output = transformer(src, tgt, src_mask, tgt_mask, memory_mask) @@ -555,24 +555,24 @@ class TestTransformer(unittest.TestCase): dropout=dropout, weight_attr=[None, None, None], bias_attr=[False, False, True]) - src = paddle.to_variable( + src = paddle.to_tensor( np.random.rand(batch_size, source_length, d_model).astype( "float32")) - tgt = paddle.to_variable( + tgt = paddle.to_tensor( np.random.rand(batch_size, target_length, d_model).astype( "float32")) src_mask = np.zeros((batch_size, n_head, source_length, source_length)).astype("float32") src_mask[0][0][0][0] = -np.inf - src_mask = paddle.to_variable(src_mask) + src_mask = paddle.to_tensor(src_mask) tgt_mask = np.zeros((batch_size, n_head, target_length, target_length)).astype("float32") tgt_mask[0][0][0][0] = -1e9 memory_mask = np.zeros((batch_size, n_head, target_length, source_length)).astype("float32") memory_mask[0][0][0][0] = -1e9 - tgt_mask, memory_mask = paddle.to_variable( - tgt_mask), paddle.to_variable(memory_mask) + tgt_mask, memory_mask = paddle.to_tensor( + tgt_mask), paddle.to_tensor(memory_mask) trans_output = transformer(src, tgt, src_mask, tgt_mask, memory_mask) @@ -588,24 +588,24 @@ class TestTransformer(unittest.TestCase): dim_feedforward=dim_feedforward, dropout=dropout, bias_attr=False) - src = paddle.to_variable( + src = paddle.to_tensor( np.random.rand(batch_size, source_length, d_model).astype( "float32")) - tgt = paddle.to_variable( + tgt = paddle.to_tensor( np.random.rand(batch_size, target_length, d_model).astype( "float32")) src_mask = np.zeros((batch_size, n_head, source_length, source_length)).astype("float32") src_mask[0][0][0][0] = -np.inf - src_mask = paddle.to_variable(src_mask) + src_mask = paddle.to_tensor(src_mask) tgt_mask = np.zeros((batch_size, n_head, target_length, target_length)).astype("float32") tgt_mask[0][0][0][0] = -1e9 memory_mask = np.zeros((batch_size, n_head, target_length, source_length)).astype("float32") memory_mask[0][0][0][0] = -1e9 - tgt_mask, memory_mask = paddle.to_variable( - tgt_mask), paddle.to_variable(memory_mask) + tgt_mask, memory_mask = paddle.to_tensor( + tgt_mask), paddle.to_tensor(memory_mask) trans_output = transformer(src, tgt, src_mask, tgt_mask, memory_mask) diff --git a/python/paddle/fluid/tests/unittests/test_warpctc_op.py b/python/paddle/fluid/tests/unittests/test_warpctc_op.py index 6bc42f0712a1a8c9f9a0640e06042c42e7cc948f..c4155e0d8260fe1fdc4a0e49e955fc2bbff0fc89 100644 --- a/python/paddle/fluid/tests/unittests/test_warpctc_op.py +++ b/python/paddle/fluid/tests/unittests/test_warpctc_op.py @@ -424,10 +424,10 @@ class TestCTCLossAPICase(unittest.TestCase): loss_np = ctc.forward() paddle.disable_static() - softmax = paddle.to_variable(logits) - labels = paddle.to_variable(labels) - logits_length = paddle.to_variable(self.logits_length) - labels_length = paddle.to_variable(self.labels_length) + softmax = paddle.to_tensor(logits) + labels = paddle.to_tensor(labels) + logits_length = paddle.to_tensor(self.logits_length) + labels_length = paddle.to_tensor(self.labels_length) loss_pd_mean = F.ctc_loss( softmax, labels, @@ -477,10 +477,10 @@ class TestCTCLossAPICase(unittest.TestCase): loss_np = ctc.forward() paddle.disable_static() - softmax = paddle.to_variable(logits) - labels = paddle.to_variable(labels) - logits_length = paddle.to_variable(self.logits_length) - labels_length = paddle.to_variable(self.labels_length) + softmax = paddle.to_tensor(logits) + labels = paddle.to_tensor(labels) + logits_length = paddle.to_tensor(self.logits_length) + labels_length = paddle.to_tensor(self.labels_length) loss_pd = paddle.nn.CTCLoss(self.blank, 'none')( softmax, labels, logits_length, labels_length) diff --git a/python/paddle/fluid/tests/unittests/test_zeros_like_op.py b/python/paddle/fluid/tests/unittests/test_zeros_like_op.py index 21e618a46201659fe0c4e5c67d1d9a8bafd70f1b..2cea3072809ec316abf55844b75c775bcd72042c 100644 --- a/python/paddle/fluid/tests/unittests/test_zeros_like_op.py +++ b/python/paddle/fluid/tests/unittests/test_zeros_like_op.py @@ -63,7 +63,7 @@ class TestZerosLikeImpeartive(unittest.TestCase): place = fluid.CUDAPlace(0) if core.is_compiled_with_cuda( ) else fluid.CPUPlace() paddle.disable_static(place) - x = paddle.to_variable(np.ones(shape)) + x = paddle.to_tensor(np.ones(shape)) for dtype in [np.bool, np.float32, np.float64, np.int32, np.int64]: out = zeros_like(x, dtype) self.assertEqual((out.numpy() == np.zeros(shape, dtype)).all(), diff --git a/python/paddle/fluid/tests/unittests/xpu/test_activation_op.py b/python/paddle/fluid/tests/unittests/xpu/test_activation_op.py new file mode 100755 index 0000000000000000000000000000000000000000..788c110a592c0e18734e2b361a7edcdbc691230a --- /dev/null +++ b/python/paddle/fluid/tests/unittests/xpu/test_activation_op.py @@ -0,0 +1,215 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function + +import sys +sys.path.append("..") +import unittest +import numpy as np +import paddle.fluid.core as core +from op_test import OpTest +from scipy.special import expit, erf +import paddle +import paddle.fluid as fluid +import paddle.nn as nn +import paddle.nn.functional as F +from paddle.fluid import compiler, Program, program_guard + + +@unittest.skipIf(not paddle.is_compiled_with_xpu(), + "core is not compiled with XPU") +class TestXPUActivation(OpTest): + def setUp(self): + self.op_type = "exp" + self.init_dtype() + self.init_kernel_type() + + x = np.random.uniform(0.1, 1, [11, 17]).astype(self.dtype) + out = np.exp(x) + + self.attrs = {'use_xpu': True} + self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)} + self.outputs = {'Out': out} + + def init_dtype(self): + self.dtype = np.float32 + + def test_check_output(self): + if paddle.is_compiled_with_xpu(): + place = paddle.XPUPlace(0) + self.check_output_with_place(place, atol=1e-3) + + def init_kernel_type(self): + pass + + +@unittest.skipIf(not paddle.is_compiled_with_xpu(), + "core is not compiled with XPU") +class TestXPUSigmoid(TestXPUActivation): + def setUp(self): + self.op_type = "sigmoid" + self.init_dtype() + + x = np.random.uniform(-1, 1, [11, 17]).astype(self.dtype) + out = 1 / (1 + np.exp(-x)) + + self.attrs = {'use_xpu': True} + self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)} + self.outputs = {'Out': out} + + def test_check_grad(self): + if paddle.is_compiled_with_xpu(): + place = paddle.XPUPlace(0) + self.check_grad_with_place( + place, ['X'], 'Out', max_relative_error=0.01) + + +@unittest.skipIf(not paddle.is_compiled_with_xpu(), + "core is not compiled with XPU") +class TestXPUTanh(TestXPUActivation): + def setUp(self): + self.op_type = "tanh" + self.init_dtype() + x = np.random.uniform(0.1, 1, [11, 17]).astype(self.dtype) + out = np.tanh(x) + + self.attrs = {'use_xpu': True} + self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)} + self.outputs = {'Out': out} + + +@unittest.skipIf(not paddle.is_compiled_with_xpu(), + "core is not compiled with XPU") +class TestXPUSqrt(TestXPUActivation): + def setUp(self): + self.op_type = "sqrt" + self.init_dtype() + + x = np.random.uniform(0.1, 1, [11, 17]).astype(self.dtype) + out = np.sqrt(x) + + self.attrs = {'use_xpu': True} + self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)} + self.outputs = {'Out': out} + + +@unittest.skipIf(not paddle.is_compiled_with_xpu(), + "core is not compiled with XPU") +class TestXPUAbs(TestXPUActivation): + def setUp(self): + self.op_type = "abs" + self.init_dtype() + + x = np.random.uniform(-1, 1, [4, 25]).astype(self.dtype) + # Because we set delta = 0.005 in calculating numeric gradient, + # if x is too small, such as 0.002, x_neg will be -0.003 + # x_pos will be 0.007, so the numeric gradient is inaccurate. + # we should avoid this + x[np.abs(x) < 0.005] = 0.02 + out = np.abs(x) + + self.attrs = {'use_xpu': True} + self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)} + self.outputs = {'Out': out} + + +@unittest.skipIf(not paddle.is_compiled_with_xpu(), + "core is not compiled with XPU") +class TestXPURelu(TestXPUActivation): + def setUp(self): + self.op_type = "relu" + self.init_dtype() + + x = np.random.uniform(-1, 1, [11, 17]).astype(self.dtype) + # The same reason with TestAbs + x[np.abs(x) < 0.005] = 0.02 + out = np.maximum(x, 0) + + self.attrs = {'use_xpu': True} + self.inputs = {'X': x} + self.outputs = {'Out': out} + + +@unittest.skipIf(not paddle.is_compiled_with_xpu(), + "core is not compiled with XPU") +class TestXPUGelu(TestXPUActivation): + def setUp(self): + self.op_type = "gelu" + self.init_dtype() + approximate = False + x = np.random.uniform(-1, 1, [11, 17]).astype(self.dtype) + out = gelu(x, approximate) + + self.inputs = {'X': x} + self.outputs = {'Out': out} + self.attrs = {"approximate": approximate, 'use_xpu': True} + + +def gelu(x, approximate): + if approximate: + y_ref = 0.5 * x * (1.0 + np.tanh( + np.sqrt(2 / np.pi) * (x + 0.044715 * np.power(x, 3)))) + else: + y_ref = 0.5 * x * (1 + erf(x / np.sqrt(2))) + return y_ref.astype(x.dtype) + + +@unittest.skipIf(not paddle.is_compiled_with_xpu(), + "core is not compiled with XPU") +class TestXPULog(TestXPUActivation): + def setUp(self): + self.op_type = "log" + self.init_dtype() + + x = np.random.uniform(0.1, 1, [11, 17]).astype(self.dtype) + out = np.log(x) + + self.attrs = {'use_xpu': True} + self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)} + self.outputs = {'Out': out} + + +@unittest.skipIf(not paddle.is_compiled_with_xpu(), + "core is not compiled with XPU") +class TestXPUSquare(TestXPUActivation): + def setUp(self): + self.op_type = "square" + self.init_dtype() + + x = np.random.uniform(0.1, 1, [11, 17]).astype(self.dtype) + out = np.square(x) + + self.attrs = {'use_xpu': True} + self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)} + self.outputs = {'Out': out} + + +@unittest.skipIf(not paddle.is_compiled_with_xpu(), + "core is not compiled with XPU") +class TestXPUPow(TestXPUActivation): + def setUp(self): + self.op_type = "pow" + self.init_dtype() + + x = np.random.uniform(1, 2, [11, 17]).astype(self.dtype) + out = np.power(x, 3) + + self.inputs = {'X': OpTest.np_dtype_to_fluid_dtype(x)} + self.attrs = {'factor': 3.0, 'use_xpu': True} + self.outputs = {'Out': out} + + +if __name__ == "__main__": + unittest.main() diff --git a/python/paddle/fluid/tests/unittests/xpu/test_elementwise_add_op.py b/python/paddle/fluid/tests/unittests/xpu/test_elementwise_add_op.py new file mode 100644 index 0000000000000000000000000000000000000000..9c6e7d21c1a1918e1d24f580f1e6787632b41dbc --- /dev/null +++ b/python/paddle/fluid/tests/unittests/xpu/test_elementwise_add_op.py @@ -0,0 +1,346 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function +import sys +sys.path.append("..") +import unittest +import numpy as np +import paddle +import paddle.fluid.core as core +from op_test import OpTest, skip_check_grad_ci +import paddle.fluid as fluid +from paddle.fluid import compiler, Program, program_guard + + +class TestElementwiseAddOp(OpTest): + def init_kernel_type(self): + self.use_mkldnn = False + + def setUp(self): + self.op_type = "elementwise_add" + self.init_dtype() + self.init_input_output() + self.init_kernel_type() + self.init_axis() + + self.inputs = { + 'X': OpTest.np_dtype_to_fluid_dtype(self.x), + 'Y': OpTest.np_dtype_to_fluid_dtype(self.y) + } + self.attrs = {'axis': self.axis, 'use_mkldnn': self.use_mkldnn} + self.outputs = {'Out': self.out} + + def test_check_output(self): + # TODO(wangzhongpu): support mkldnn op in dygraph mode + self.check_output(check_dygraph=(self.use_mkldnn == False)) + + def test_check_grad_normal(self): + # TODO(wangzhongpu): support mkldnn op in dygraph mode + if self.dtype == np.float16: + return + self.check_grad( + ['X', 'Y'], 'Out', check_dygraph=(self.use_mkldnn == False)) + + def test_check_grad_ingore_x(self): + # TODO(wangzhongpu): support mkldnn op in dygraph mode + if self.dtype == np.float16: + return + self.check_grad( + ['Y'], + 'Out', + no_grad_set=set("X"), + check_dygraph=(self.use_mkldnn == False)) + + def test_check_grad_ingore_y(self): + # TODO(wangzhongpu): support mkldnn op in dygraph mode + if self.dtype == np.float16: + return + self.check_grad( + ['X'], + 'Out', + no_grad_set=set('Y'), + check_dygraph=(self.use_mkldnn == False)) + + def init_input_output(self): + self.x = np.random.uniform(0.1, 1, [13, 17]).astype(self.dtype) + self.y = np.random.uniform(0.1, 1, [13, 17]).astype(self.dtype) + self.out = np.add(self.x, self.y) + + def init_dtype(self): + self.dtype = np.float64 + + def init_axis(self): + self.axis = -1 + + +@unittest.skipIf(not paddle.is_compiled_with_xpu(), + "core is not compiled with XPU") +class TestXPUElementwiseAddOp(OpTest): + def setUp(self): + self.op_type = "elementwise_add" + self.init_dtype() + self.init_input_output() + self.init_axis() + + self.inputs = {'X': self.x, 'Y': self.y} + self.attrs = {'axis': self.axis, 'use_mkldnn': False, 'use_xpu': True} + self.outputs = {'Out': self.out} + + def test_check_output(self): + if self.dtype == np.float32 and paddle.is_compiled_with_xpu(): + place = paddle.XPUPlace(0) + self.check_output_with_place(place) + + def test_check_grad_normal(self): + if self.dtype == np.float32 and paddle.is_compiled_with_xpu(): + place = paddle.XPUPlace(0) + self.check_grad_with_place(place, ['X', 'Y'], 'Out') + + def test_check_grad_ingore_x(self): + if self.dtype == np.float32 and paddle.is_compiled_with_xpu(): + place = paddle.XPUPlace(0) + self.check_grad_with_place(place, ['Y'], 'Out') + + def test_check_grad_ingore_y(self): + if self.dtype == np.float32 and paddle.is_compiled_with_xpu(): + place = paddle.XPUPlace(0) + self.check_grad_with_place(place, ['X'], 'Out') + + def init_input_output(self): + self.x = np.random.uniform(0.1, 1, [13, 17]).astype(self.dtype) + self.y = np.random.uniform(0.1, 1, [13, 17]).astype(self.dtype) + self.out = np.add(self.x, self.y) + + def init_dtype(self): + self.dtype = np.float32 + + def init_axis(self): + self.axis = -1 + + +@skip_check_grad_ci( + reason="[skip shape check] Use y_shape(1) to test broadcast.") +class TestElementwiseAddOp_scalar(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(2, 3, 4).astype(self.dtype) + self.y = np.random.rand(1).astype(self.dtype) + self.out = self.x + self.y + + +@skip_check_grad_ci( + reason="[skip shape check] Use y_shape(1,1) to test broadcast.") +class TestElementwiseAddOp_scalar2(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(2, 3, 4).astype(self.dtype) + self.y = np.random.rand(1, 1).astype(self.dtype) + self.out = self.x + self.y + + +class TestElementwiseAddOp_Vector(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.random((100, )).astype(self.dtype) + self.y = np.random.random((100, )).astype(self.dtype) + self.out = np.add(self.x, self.y) + + +class TestElementwiseAddOp_broadcast_0(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(100, 2, 3).astype(self.dtype) + self.y = np.random.rand(100).astype(self.dtype) + self.out = self.x + self.y.reshape(100, 1, 1) + + def init_axis(self): + self.axis = 0 + + +class TestElementwiseAddOp_broadcast_1(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(2, 100, 3).astype(self.dtype) + self.y = np.random.rand(100).astype(self.dtype) + self.out = self.x + self.y.reshape(1, 100, 1) + + def init_axis(self): + self.axis = 1 + + +class TestElementwiseAddOp_broadcast_2(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(2, 3, 100).astype(self.dtype) + self.y = np.random.rand(100).astype(self.dtype) + self.out = self.x + self.y.reshape(1, 1, 100) + + +class TestElementwiseAddOp_broadcast_3(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(2, 10, 12, 3).astype(self.dtype) + self.y = np.random.rand(10, 12).astype(self.dtype) + self.out = self.x + self.y.reshape(1, 10, 12, 1) + + def init_axis(self): + self.axis = 1 + + +class TestElementwiseAddOp_broadcast_4(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(100, 2, 3, 4).astype(self.dtype) + self.y = np.random.rand(100, 1).astype(self.dtype) + self.out = self.x + self.y.reshape(100, 1, 1, 1) + + def init_axis(self): + self.axis = 0 + + +class TestElementwiseAddOp_broadcast_5(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(10, 3, 12).astype(self.dtype) + self.y = np.random.rand(10, 1, 12).astype(self.dtype) + self.out = self.x + self.y + + +class TestElementwiseAddOp_broadcast_6(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(2, 12, 3, 5).astype(self.dtype) + self.y = np.random.rand(2, 12, 1, 5).astype(self.dtype) + self.out = self.x + self.y + + +class TestElementwiseAddOp_broadcast_7(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(1, 1, 20, 5).astype(self.dtype) + self.y = np.random.rand(20, 5, 1, 1).astype(self.dtype) + self.out = self.x + self.y + + +class TestElementwiseAddOp_rowwise_add_0(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(2, 10, 12).astype(self.dtype) + self.y = np.random.rand(10, 12).astype(self.dtype) + self.out = self.x + self.y.reshape(1, 10, 12) + + def init_axis(self): + self.axis = 1 + + +@skip_check_grad_ci( + reason="[skip shape check] Use y_shape(1) to test broadcast.") +class TestElementwiseAddOp_rowwise_add_1(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(100, 1).astype(self.dtype) + self.y = np.random.rand(1).astype(self.dtype) + self.out = self.x + self.y.reshape(1, 1) + + def init_axis(self): + self.axis = 1 + + +class TestElementwiseAddOp_channelwise_add(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(100, 2, 3).astype(self.dtype) + self.y = np.random.rand(100, 1, 1).astype(self.dtype) + self.out = self.x + self.y + + def init_axis(self): + self.axis = -1 + + +class TestElementwiseAddOp_commonuse_add1(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(2, 3, 100).astype(self.dtype) + self.y = np.random.rand(1, 1, 100).astype(self.dtype) + self.out = self.x + self.y + + def init_axis(self): + self.axis = -1 + + +class TestElementwiseAddOp_commonuse_add2(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(10, 3, 1, 4).astype(self.dtype) + self.y = np.random.rand(10, 1, 12, 1).astype(self.dtype) + self.out = self.x + self.y + + def init_axis(self): + self.axis = -1 + + +class TestElementwiseAddOp_xsize_lessthan_ysize_add(TestElementwiseAddOp): + def init_input_output(self): + self.x = np.random.rand(10, 12).astype(self.dtype) + self.y = np.random.rand(2, 3, 10, 12).astype(self.dtype) + self.out = self.x + self.y + + def init_axis(self): + self.axis = 2 + + +class TestElementwiseAddOpError(unittest.TestCase): + def test_errors(self): + with program_guard(Program(), Program()): + # the input of elementwise_add must be Variable. + x1 = fluid.create_lod_tensor( + np.array([-1, 3, 5, 5]), [[1, 1, 1, 1]], fluid.CPUPlace()) + y1 = fluid.create_lod_tensor( + np.array([-1, 3, 5, 5]), [[1, 1, 1, 1]], fluid.CPUPlace()) + self.assertRaises(TypeError, fluid.layers.elementwise_add, x1, y1) + + # the input dtype of elementwise_add must be float16 or float32 or float64 or int32 or int64 + # float16 only can be set on GPU place + x2 = fluid.layers.data(name='x2', shape=[3, 4, 5, 6], dtype="uint8") + y2 = fluid.layers.data(name='y2', shape=[3, 4, 5, 6], dtype="uint8") + self.assertRaises(TypeError, fluid.layers.elementwise_add, x2, y2) + + +class TestAddOp(unittest.TestCase): + def test_name(self): + with fluid.program_guard(fluid.Program()): + x = fluid.data(name="x", shape=[2, 3], dtype="float32") + y = fluid.data(name='y', shape=[2, 3], dtype='float32') + + y_1 = paddle.add(x, y, name='add_res') + self.assertEqual(('add_res' in y_1.name), True) + + def test_declarative(self): + with fluid.program_guard(fluid.Program()): + + def gen_data(): + return { + "x": np.array([2, 3, 4]).astype('float32'), + "y": np.array([1, 5, 2]).astype('float32') + } + + x = fluid.data(name="x", shape=[3], dtype='float32') + y = fluid.data(name="y", shape=[3], dtype='float32') + z = paddle.add(x, y) + + place = fluid.CPUPlace() + exe = fluid.Executor(place) + z_value = exe.run(feed=gen_data(), fetch_list=[z.name]) + z_expected = np.array([3., 8., 6.]) + self.assertEqual((z_value == z_expected).all(), True) + + def test_dygraph(self): + with fluid.dygraph.guard(): + np_x = np.array([2, 3, 4]).astype('float64') + np_y = np.array([1, 5, 2]).astype('float64') + x = fluid.dygraph.to_variable(np_x) + y = fluid.dygraph.to_variable(np_y) + z = paddle.add(x, y) + np_z = z.numpy() + z_expected = np.array([3., 8., 6.]) + self.assertEqual((np_z == z_expected).all(), True) + + +if __name__ == '__main__': + unittest.main() diff --git a/python/paddle/fluid/tests/unittests/xpu/test_matmul_op.py b/python/paddle/fluid/tests/unittests/xpu/test_matmul_op.py new file mode 100644 index 0000000000000000000000000000000000000000..ac32d224910a9254efa9f95135652af6ef8adafe --- /dev/null +++ b/python/paddle/fluid/tests/unittests/xpu/test_matmul_op.py @@ -0,0 +1,355 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function + +import sys +sys.path.append("..") +import paddle.fluid.core as core +import unittest +import numpy as np +from op_test import OpTest +import paddle +import paddle.fluid as fluid +from paddle.fluid import Program, program_guard + + +def generate_compatible_shapes(dim_X, dim_Y, transpose_X, transpose_Y): + BATCH_SIZE = 2 + M = 3 + N = 4 + K = 5 + if (dim_X == 1 and transpose_X) or (dim_Y == 1 and transpose_Y): + K = 1 + if dim_X == 1: + if transpose_X: + shape_X = [M] + else: + shape_X = [K] + if dim_Y == 1: + if transpose_Y: + shape_Y = [N] + else: + shape_Y = [K] + if dim_X >= 2: + if transpose_X: + shape_X = [K, M] + else: + shape_X = [M, K] + if dim_X == 3: + shape_X = [BATCH_SIZE] + shape_X + if dim_Y >= 2: + if transpose_Y: + shape_Y = [N, K] + else: + shape_Y = [K, N] + if dim_Y == 3: + shape_Y = [BATCH_SIZE] + shape_Y + return shape_X, shape_Y + + +def reference_matmul(X, Y, transpose_X=False, transpose_Y=False): + """Reference forward implementation using np.matmul.""" + # np.matmul does not support the transpose flags, so we manually + # transpose X and Y appropriately. + if transpose_X: + if X.ndim == 1: + X = X.reshape((X.size, 1)) + elif X.ndim == 2: + X = X.T + else: + dim = [i for i in range(len(X.shape))] + dim[-1], dim[len(X.shape) - 2] = dim[len(X.shape) - 2], dim[-1] + X = np.transpose(X, tuple(dim)) + if transpose_Y: + if Y.ndim == 1: + Y = Y.reshape((1, Y.size)) + else: + dim = [i for i in range(len(Y.shape))] + dim[-1], dim[len(Y.shape) - 2] = dim[len(Y.shape) - 2], dim[-1] + Y = np.transpose(Y, tuple(dim)) + + Out = np.matmul(X, Y) + if not Out.shape: + # We do not support 0-dimensional Tensors (scalars). So where + # np.matmul outputs a scalar, we must convert to a Tensor of + # shape (1, ) instead. + # Everywhere else, we are compatible with np.matmul. + Out = np.array([Out], dtype="float32") + return Out + + +class Generator(object): + def setUp(self): + self.op_type = "matmul" + X = np.random.random(self.shape_X).astype("float32") + Y = np.random.random(self.shape_Y).astype("float32") + Out = reference_matmul(X, Y, self.transpose_X, self.transpose_Y) + self.inputs = {'X': X, 'Y': Y} + self.attrs = { + 'transpose_X': self.transpose_X, + 'transpose_Y': self.transpose_Y + } + self.outputs = {'Out': Out} + + def test_check_output(self): + self.check_output() + if paddle.is_compiled_with_xpu() and len(self.inputs['X'].shape) == len( + self.inputs['Y'].shape) and self.inputs['X'].shape[ + 0] == self.inputs['Y'].shape[0]: + place = paddle.XPUPlace(0) + self.check_output_with_place(place, atol=1e-3) + + def test_check_grad_normal(self): + self.check_grad(['X', 'Y'], 'Out', max_relative_error=1e-3) + if paddle.is_compiled_with_xpu() and len(self.inputs['X'].shape) == len( + self.inputs['Y'].shape) and self.inputs['X'].shape[ + 0] == self.inputs['Y'].shape[0]: + place = paddle.XPUPlace(0) + self.check_grad_with_place( + place, ['X', 'Y'], 'Out', max_relative_error=5e-2) + + def test_check_grad_ignore_x(self): + self.check_grad( + ['Y'], 'Out', max_relative_error=1e-3, no_grad_set=set("X")) + if paddle.is_compiled_with_xpu() and len(self.inputs['X'].shape) == len( + self.inputs['Y'].shape) and self.inputs['X'].shape[ + 0] == self.inputs['Y'].shape[0]: + place = paddle.XPUPlace(0) + self.check_grad_with_place( + place, ['Y'], + 'Out', + max_relative_error=5e-2, + no_grad_set=set("X")) + + def test_check_grad_ignore_y(self): + self.check_grad( + ['X'], 'Out', max_relative_error=1e-3, no_grad_set=set('Y')) + if paddle.is_compiled_with_xpu() and len(self.inputs['X'].shape) == len( + self.inputs['Y'].shape) and self.inputs['X'].shape[ + 0] == self.inputs['Y'].shape[0]: + place = paddle.XPUPlace(0) + self.check_grad_with_place( + place, ['X'], + 'Out', + max_relative_error=5e-2, + no_grad_set=set('Y')) + + +class TestMatmulOpError(unittest.TestCase): + def test_errors(self): + with program_guard(Program(), Program()): + # The inputs type of matmul_op must be Variable. + input1 = 12 + self.assertRaises(TypeError, fluid.layers.matmul, input1, input1) + # The inputs dtype of matmul_op must be float32, float64. + input2 = fluid.layers.data( + name='input2', shape=[10, 10], dtype="int32") + self.assertRaises(TypeError, fluid.layers.matmul, input2, input2) + input3 = fluid.layers.data( + name='input3', shape=[2, 2], dtype="float16") + fluid.layers.matmul(input3, input3) + + +# Negative dimension generation +def generate_negative_dims(in_shape): + from itertools import combinations + size = len(in_shape) + indexs = list() + shapes = list() + for i in range(size): + indexs.extend(list(combinations([j for j in range(size)], i + 1))) + for idx in indexs: + shapes.append( + [in_shape[i] if i not in idx else -1 for i in range(size)]) + return shapes + + +# Build program with inputs sizes that contain negative numbers +def test_negative_dims_program(obj): + for shape_x in generate_negative_dims(obj.shape_X): + for shape_y in generate_negative_dims(obj.shape_Y): + X = np.random.random(obj.shape_X).astype("float32") + Y = np.random.random(obj.shape_Y).astype("float32") + Ref = reference_matmul(X, Y, obj.transpose_X, obj.transpose_Y) + with program_guard(Program(), Program()): + x = fluid.data(name='x', shape=shape_x, dtype='float32') + y = fluid.data(name='y', shape=shape_y, dtype='float32') + output = fluid.layers.matmul(x, y, obj.transpose_X, + obj.transpose_Y) + obj.assertEqual(len(Ref.shape), len(output.shape)) + for idx in range(len(Ref.shape)): + if output.shape[idx] != -1: + obj.assertEqual(Ref.shape[idx], output.shape[idx]) + exe = fluid.Executor(fluid.CPUPlace()) + res, = exe.run(fluid.default_main_program(), + feed={'x': X, + 'y': Y}, + fetch_list=[output]) + np.allclose(res, Ref, atol=1e-5) + + +# Generate program api cases for all negative possibilities +def api_test(dim_x, dim_y, trans_x, trans_y): + test_name = ('TestMatMulAPI_dimX_{}_dim_Y_{}_transX_{}_transY_{}'.format( + dim_x, dim_y, trans_x, trans_y)) + shape_x, shape_y = generate_compatible_shapes(dim_x, dim_y, trans_x, + trans_y) + globals()[test_name] = type(test_name, (unittest.TestCase, ), { + 'shape_X': shape_x, + 'shape_Y': shape_y, + 'transpose_X': trans_x, + 'transpose_Y': trans_y, + 'test_propram': test_negative_dims_program, + }) + + +# Generate operators cases for all possibilities +def inject_test(dim_x, dim_y, trans_x, trans_y): + test_name = ('TestMatMulOp_dimX_{}_dim_Y_{}_transX_{}_transY_{}'.format( + dim_x, dim_y, trans_x, trans_y)) + shape_x, shape_y = generate_compatible_shapes(dim_x, dim_y, trans_x, + trans_y) + globals()[test_name] = type(test_name, (Generator, OpTest), { + 'shape_X': shape_x, + 'shape_Y': shape_y, + 'transpose_X': trans_x, + 'transpose_Y': trans_y, + }) + + +for dim_X in (1, 2, 3): + for dim_Y in (1, 2, 3): + for transose_x in (False, True): + for transose_y in (False, True): + inject_test(dim_X, dim_Y, transose_x, transose_y) + api_test(dim_X, dim_Y, transose_x, transose_y) + + +# Test case n-dim +def generate_compatible_shapes(dim, transpose_X, transpose_Y): + M = 2 + N = 4 + K = 3 + shape_X = [2 for _ in range(dim - 2)] + shape_Y = [2 for _ in range(dim - 2)] + + if transpose_X: + shape_X += [K, M] + else: + shape_X += [M, K] + + if transpose_Y: + shape_Y += [N, K] + else: + shape_Y += [K, N] + + return shape_X, shape_Y + + +# # Test case n-dim +for dim in [4]: + for transpose_X in [False, True]: + for transpose_Y in [False, True]: + test_name = ( + 'TestMatMulOp_dimX_{}_dim_Y_{}_transX_{}_transY_{}'.format( + dim, dim, transpose_X, transpose_Y)) + shape_X, shape_Y = generate_compatible_shapes(dim, transpose_X, + transpose_Y) + globals()[test_name] = type(test_name, (Generator, OpTest), { + 'shape_X': shape_X, + 'shape_Y': shape_Y, + 'transpose_X': transpose_X, + 'transpose_Y': transpose_Y, + }) + + +class API_TestMm(unittest.TestCase): + def test_out(self): + with fluid.program_guard(fluid.Program()): + x = fluid.data(name="x", shape=[2], dtype="float64") + y = fluid.data(name='y', shape=[2], dtype='float64') + res = fluid.data(name="output", shape=[1], dtype="float64") + result = paddle.mm(x, y) + exe = fluid.Executor(fluid.CPUPlace()) + data1 = np.random.rand(2) + data2 = np.random.rand(2) + np_res = exe.run(feed={'x': data1, 'y': data2}, fetch_list=[result]) + expected_result = np.matmul( + data1.reshape(1, 2), data2.reshape(2, 1)) + + self.assertTrue( + np.allclose( + np_res, expected_result, atol=1e-5), + "two value is\ + {}\n{}, check diff!".format(np_res, expected_result)) + + def test_dygraph_without_out(self): + device = fluid.CPUPlace() + with fluid.dygraph.guard(device): + input_array1 = np.random.rand(3, 4).astype("float64") + input_array2 = np.random.rand(4, 3).astype("float64") + data1 = fluid.dygraph.to_variable(input_array1) + data2 = fluid.dygraph.to_variable(input_array2) + out = paddle.mm(data1, data2) + expected_result = np.matmul(input_array1, input_array2) + self.assertTrue(np.allclose(expected_result, out.numpy())) + + +class Test_API_Matmul(unittest.TestCase): + def test_dygraph_without_out(self): + device = fluid.CPUPlace() + with fluid.dygraph.guard(device): + input_array1 = np.random.rand(3, 4).astype("float64") + input_array2 = np.random.rand(4, 3).astype("float64") + data1 = fluid.dygraph.to_variable(input_array1) + data2 = fluid.dygraph.to_variable(input_array2) + out = paddle.matmul(data1, data2) + expected_result = np.matmul(input_array1, input_array2) + self.assertTrue(np.allclose(expected_result, out.numpy())) + + +class API_TestMmError(unittest.TestCase): + def test_errors(self): + def test_error1(): + with fluid.program_guard(fluid.Program(), fluid.Program()): + data1 = fluid.data(name="data1", shape=[10, 2], dtype="float32") + data2 = fluid.data(name="data2", shape=[3, 10], dtype="float32") + paddle.mm(data1, data2) + + self.assertRaises(ValueError, test_error1) + + def test_error2(): + with fluid.program_guard(fluid.Program(), fluid.Program()): + data1 = fluid.data( + name="data1", shape=[-1, 10, 2], dtype="float32") + data2 = fluid.data( + name="data2", shape=[-1, 2, 10], dtype="float32") + paddle.mm(data1, data2) + + test_error2() + + def test_error3(): + with fluid.program_guard(fluid.Program(), fluid.Program()): + data1 = fluid.data( + name="data1", shape=[10, 10, 2], dtype="float32") + data2 = fluid.data( + name="data2", shape=[3, 2, 10], dtype="float32") + paddle.mm(data1, data2) + + self.assertRaises(ValueError, test_error3) + + +if __name__ == "__main__": + unittest.main() diff --git a/python/paddle/fluid/tests/unittests/xpu/test_mul_op.py b/python/paddle/fluid/tests/unittests/xpu/test_mul_op.py new file mode 100644 index 0000000000000000000000000000000000000000..94ab5b71e4fbf05fd7ccb61b44dea0cf2a9e0b34 --- /dev/null +++ b/python/paddle/fluid/tests/unittests/xpu/test_mul_op.py @@ -0,0 +1,161 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function + +import unittest +import numpy as np +import paddle +import paddle.fluid.core as core +import sys +sys.path.append("..") +from op_test import OpTest +import paddle.fluid as fluid +from paddle.fluid import Program, program_guard + + +class TestMulOp(OpTest): + def setUp(self): + self.op_type = "mul" + self.dtype = np.float64 + self.init_dtype_type() + self.inputs = { + 'X': np.random.random((20, 5)).astype(self.dtype), + 'Y': np.random.random((5, 21)).astype(self.dtype) + } + self.outputs = {'Out': np.dot(self.inputs['X'], self.inputs['Y'])} + + def init_dtype_type(self): + pass + + def test_check_output(self): + self.check_output() + + def test_check_grad_normal(self): + self.check_grad(['X', 'Y'], 'Out') + + def test_check_grad_ingore_x(self): + self.check_grad( + ['Y'], 'Out', max_relative_error=0.5, no_grad_set=set("X")) + + def test_check_grad_ingore_y(self): + self.check_grad( + ['X'], 'Out', max_relative_error=0.5, no_grad_set=set('Y')) + + +class TestMulOpError(unittest.TestCase): + def test_errors(self): + with program_guard(Program(), Program()): + # The input type of mul_op must be Variable. + x1 = fluid.create_lod_tensor( + np.array([[-1]]), [[1]], fluid.CPUPlace()) + x2 = fluid.create_lod_tensor( + np.array([[-1]]), [[1]], fluid.CPUPlace()) + self.assertRaises(TypeError, fluid.layers.mul, x1, x2) + # The input dtype of mul_op must be float32 or float64. + x3 = fluid.layers.data(name='x3', shape=[4], dtype="int32") + x4 = fluid.layers.data(name='x4', shape=[4], dtype="int32") + self.assertRaises(TypeError, fluid.layers.mul, x3, x4) + + +class TestMulOp2(OpTest): + def setUp(self): + self.op_type = "mul" + self.dtype = np.float64 + self.init_dtype_type() + self.inputs = { + 'X': np.random.random((3, 4, 2, 9)).astype(self.dtype), + 'Y': np.random.random((3, 6, 1, 2, 3)).astype(self.dtype) + } + self.attrs = { + 'x_num_col_dims': 2, + 'y_num_col_dims': 2, + } + result = np.dot(self.inputs['X'].reshape(3 * 4, 2 * 9), + self.inputs['Y'].reshape(3 * 6, 1 * 2 * 3)) + result = result.reshape(3, 4, 1, 2, 3) + self.outputs = {'Out': result} + + def init_dtype_type(self): + pass + + def test_check_output(self): + self.check_output() + + def test_check_grad_normal(self): + self.check_grad(['X', 'Y'], 'Out') + + def test_check_grad_ingore_x(self): + self.check_grad( + ['Y'], 'Out', max_relative_error=0.5, no_grad_set=set('X')) + + def test_check_grad_ignore_y(self): + self.check_grad( + ['X'], 'Out', max_relative_error=0.5, no_grad_set=set('Y')) + + +@unittest.skipIf(not paddle.is_compiled_with_xpu(), + "core is not compiled with XPU") +class TestXPUMulOp1(TestMulOp): + def init_dtype_type(self): + self.dtype = np.float32 + + def test_check_output(self): + place = paddle.XPUPlace(0) + self.check_output_with_place(place, atol=1e-1) + + def test_check_grad_normal(self): + place = paddle.XPUPlace(0) + self.check_grad_with_place( + place, ['X', 'Y'], 'Out', max_relative_error=0.5) + + def test_check_grad_ingore_x(self): + place = paddle.XPUPlace(0) + self.check_grad_with_place( + place, ['Y'], 'Out', max_relative_error=0.5, no_grad_set=set("X")) + + def test_check_grad_ingore_y(self): + place = paddle.XPUPlace(0) + self.check_grad_with_place( + place, ['X'], 'Out', max_relative_error=0.5, no_grad_set=set('Y')) + + +@unittest.skipIf(not paddle.is_compiled_with_xpu(), + "core is not compiled with XPU") +class TestXPUMulOp2(TestMulOp2): + def init_dtype_type(self): + self.dtype = np.float32 + + def test_check_output(self): + place = paddle.XPUPlace(0) + self.check_output_with_place(place, atol=2e-1) + + def test_check_grad_normal(self): + place = paddle.XPUPlace(0) + self.check_grad_with_place( + place, ['X', 'Y'], 'Out', max_relative_error=0.9) + + def test_check_grad_ingore_x(self): + place = paddle.XPUPlace(0) + self.check_grad_with_place( + place, ['Y'], 'Out', max_relative_error=0.5, no_grad_set=set("X")) + + def test_check_grad_ingore_y(self): + place = paddle.XPUPlace(0) + self.check_grad_with_place( + place, ['X'], 'Out', max_relative_error=0.9, no_grad_set=set('Y')) + + +if __name__ == "__main__": + unittest.main() diff --git a/python/paddle/framework/__init__.py b/python/paddle/framework/__init__.py index f33e4e0fca8727574bcd1970e26c6eaee2139a05..2ce442add2e02b5b1b869b4b233e734bc29bdea9 100644 --- a/python/paddle/framework/__init__.py +++ b/python/paddle/framework/__init__.py @@ -48,8 +48,8 @@ from paddle.fluid import core #DEFINE_ALIAS from ..fluid.dygraph.base import no_grad #DEFINE_ALIAS from ..fluid.dygraph.base import to_variable #DEFINE_ALIAS from ..fluid.dygraph.base import grad #DEFINE_ALIAS -from ..fluid.dygraph.checkpoint import load_dygraph as load #DEFINE_ALIAS -from ..fluid.dygraph.checkpoint import save_dygraph as save #DEFINE_ALIAS +from .io import save +from .io import load from ..fluid.dygraph.jit import SaveLoadConfig #DEFINE_ALIAS from ..fluid.dygraph.parallel import DataParallel #DEFINE_ALIAS diff --git a/python/paddle/framework/io.py b/python/paddle/framework/io.py new file mode 100644 index 0000000000000000000000000000000000000000..7175f3101448f3ee239c641fe0142ef211510a72 --- /dev/null +++ b/python/paddle/framework/io.py @@ -0,0 +1,291 @@ +# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function + +import os +import collections +import pickle +import six +import warnings + +import paddle + +# deprecated module import +from paddle import fluid +from paddle.fluid import core +from paddle.fluid.framework import Variable, _varbase_creator, _dygraph_tracer +from paddle.fluid.dygraph.io import _construct_program_holders, _construct_params_and_buffers, EXTRA_VAR_INFO_FILENAME + +__all__ = [ + 'save', + 'load', +] + + +def _build_saved_state_dict(state_dict): + save_dict = {} + name_table = {} + for key, value in state_dict.items(): + if isinstance(value, (Variable, core.VarBase)): + save_dict[key] = value.numpy() + name_table[key] = value.name + else: + save_dict[key] = value + save_dict["StructuredToParameterName@@"] = name_table + + return save_dict + + +def _load_state_dict_from_save_inference_model(model_path, config): + # 1. load program desc & construct _ProgramHolder + programs = _construct_program_holders(model_path, config.model_filename) + + # 2. load layer parameters & buffers + with fluid.dygraph.guard(): + persistable_var_dict = _construct_params_and_buffers( + model_path, + programs, + config.separate_params, + config.params_filename, + append_suffix=False) + + # 3. construct state_dict + load_param_dict = dict() + for var_name in persistable_var_dict: + load_param_dict[var_name] = persistable_var_dict[var_name].numpy() + + # if __variables.info__ exists, we can recover structured_name + var_info_path = os.path.join(model_path, EXTRA_VAR_INFO_FILENAME) + if os.path.exists(var_info_path): + with open(var_info_path, 'rb') as f: + extra_var_info = pickle.load(f) + structured_para_dict = dict() + for var_name in load_param_dict: + structured_name = extra_var_info[var_name].get( + 'structured_name', None) + assert structured_name is not None, "Cannot find saved variable (%s)'s structured name in saved model." % var_name + structured_para_dict[structured_name] = load_param_dict[ + var_name] + load_param_dict = structured_para_dict + + return load_param_dict + + +def _load_state_dict_from_save_params(model_path): + # Try to load all the files in the directory in VarBase format, + # the file name is used as the name of VarBase + load_var_list = [] + + # 1. load file names + var_name_list = [] + for root, _, files in os.walk(model_path): + for filename in files: + file_path = os.path.join(root, filename) + tmp_var_name = os.path.relpath(file_path, model_path) + var_name = tmp_var_name.replace("\\", "/") + var_name_list.append(var_name) + + # 2. create and load VarBase + with fluid.dygraph.guard(): + for name in var_name_list: + new_var = _varbase_creator(name=name, persistable=True) + _dygraph_tracer().trace_op( + type='load', + inputs={}, + outputs={'Out': new_var}, + attrs={'file_path': os.path.join(model_path, name)}) + load_var_list.append(new_var) + + # 3. construct state_dict + load_param_dict = dict() + for var in load_var_list: + load_param_dict[var.name] = var.numpy() + + return load_param_dict + + +def save(obj, path): + ''' + Save an object to the specified path. + + .. note:: + Now only supports save ``state_dict`` of Layer or Optimizer. + + Args: + obj(Object) : The object to be saved. + path(str) : The path of the object to be saved. + If saved in the current directory, the input path string will be used as the file name. + + Returns: + None + + Examples: + .. code-block:: python + + import paddle + + paddle.disable_static() + + emb = paddle.nn.Embedding(10, 10) + layer_state_dict = emb.state_dict() + paddle.save(layer_state_dict, "emb.pdparams") + + scheduler = paddle.optimizer.lr_scheduler.NoamLR( + d_model=0.01, warmup_steps=100, verbose=True) + adam = paddle.optimizer.Adam( + learning_rate=scheduler, + parameters=emb.parameters()) + opt_state_dict = adam.state_dict() + paddle.save(opt_state_dict, "adam.pdopt") + ''' + + # 1. input check + if not isinstance(obj, dict): + raise NotImplementedError( + "Now only supports save state_dict of Layer or Optimizer, " + "expect dict, but received %s." % type(obj)) + + if len(obj) == 0: + warnings.warn("The input state dict is empty, no need to save.") + + filename = os.path.basename(path) + if filename == "": + raise ValueError("The input path MUST be format of dirname/filename " + "[dirname\\filename in Windows system], but received " + "filename is empty string.") + + # 2. save object + dirname = os.path.dirname(path) + if dirname and not os.path.exists(dirname): + os.makedirs(dirname) + + # TODO(chenweihang): supports save other object + saved_obj = _build_saved_state_dict(obj) + + with open(path, 'wb') as f: + pickle.dump(saved_obj, f, protocol=2) + + +def load(path, config=None): + ''' + Load an object can be used in paddle from specified path. + + .. note:: + Now only supports load ``state_dict`` of Layer or Optimizer. + + .. note:: + ``paddle.load`` supports loading ``state_dict`` from the result of several + paddle1.x save APIs in static mode, but due to some historical reasons, + if you load ``state_dict`` from the saved result of + ``paddle.static.save_inference_model/paddle.fluid.io.save_params/paddle.fluid.io.save_persistables`` , + the structured variable name will cannot be restored. You need to set the argument + ``use_structured_name=False`` when using ``Layer.set_state_dict`` later. + + Args: + path(str) : The path to load the target object. Generally, the path is the target + file path, when compatible with loading the saved results of + ``paddle.jit.save/paddle.static.save_inference_model`` , the path is a directory. + config (SaveLoadConfig, optional): :ref:`api_imperative_jit_saveLoadConfig` + object that specifies additional configuration options, these options + are for compatibility with ``paddle.jit.save/paddle.static.save_inference_model`` + formats. Default None. + + Returns: + Object(Object): a target object can be used in paddle + + Examples: + .. code-block:: python + + import paddle + + paddle.disable_static() + + emb = paddle.nn.Embedding(10, 10) + layer_state_dict = emb.state_dict() + paddle.save(layer_state_dict, "emb.pdparams") + + scheduler = paddle.optimizer.lr_scheduler.NoamLR( + d_model=0.01, warmup_steps=100, verbose=True) + adam = paddle.optimizer.Adam( + learning_rate=scheduler, + parameters=emb.parameters()) + opt_state_dict = adam.state_dict() + paddle.save(opt_state_dict, "adam.pdopt") + + load_layer_state_dict = paddle.load("emb.pdparams") + load_opt_state_dict = paddle.load("adam.pdopt") + ''' + # 1. input check + if not os.path.exists(path): + error_msg = "The path `%s` does not exist." + # if current path is a prefix, and the path.pdparams or path.pdopt + # is exist, users may want use `paddle.load` load the result of + # `fluid.save_dygraph`, we raise error here for users + params_file_path = path + ".pdparams" + opti_file_path = path + ".pdopt" + if os.path.exists(params_file_path) or os.path.exists(opti_file_path): + error_msg += " If you want to load the results saved by `fluid.save_dygraph`, " \ + "please specify the full file name, not just the file name prefix. For " \ + "example, it should be written as `paddle.load('model.pdparams')` instead of " \ + "`paddle.load('model')`." + raise ValueError(error_msg % path) + + if config is None: + config = paddle.SaveLoadConfig() + + # 2. load target + load_result = None + if os.path.isfile(path): + # we think path is file means this file is created by paddle.save + with open(path, 'rb') as f: + load_result = pickle.load(f) if six.PY2 else pickle.load( + f, encoding='latin1') + + if not config.keep_name_table and "StructuredToParameterName@@" in load_result: + del load_result["StructuredToParameterName@@"] + elif os.path.isdir(path): + # we think path is directory means compatible with loading + # store results of static mode related save APIs + + # check whether model file exists + if config.model_filename is None: + model_filename = '__model__' + else: + model_filename = config.model_filename + model_file_path = os.path.join(path, model_filename) + + if os.path.exists(model_file_path): + # Load state dict by `jit.save/io.save_inference_model` save format + # NOTE(chenweihang): [ Compatibility of save_inference_model save format ] + # The model saved by `save_inference_model` does not completely correspond to + # the information required by the `state_dict` under the dygraph. + # `save_inference_model` not save structured name, we need to remind + # the user to configure the `use_structured_name` argument when `set_state_dict` + # NOTE(chenweihang): `jit.save` doesn't save optimizer state + load_result = _load_state_dict_from_save_inference_model(path, + config) + else: + # load state dict by `io.save_params/persistables` save format + # TODO(chenweihang): [ Now only supports loading parameters seperately ] + # If users save all parameters as one file, the [ variable.name -> variable ] + # mapping info will lost, so users need to give variable list, but users build + # variable list in dygraph mode is difficult, we recommend users to use + # paddle.static.load_program_state in this case + load_result = _load_state_dict_from_save_params(path) + else: + raise ValueError( + "Unsupported path format, now only supports file or directory.") + + return load_result diff --git a/python/paddle/hapi/callbacks.py b/python/paddle/hapi/callbacks.py index 7ed571fa9c6a4a962b20397c999368dad0734ff0..69b7fedd72eed52cfd06715025f5cd88983e2e2a 100644 --- a/python/paddle/hapi/callbacks.py +++ b/python/paddle/hapi/callbacks.py @@ -301,10 +301,11 @@ class ProgBarLogger(Callback): train_dataset = paddle.vision.datasets.MNIST(mode='train') - model = paddle.Model(paddle.vision.LeNet(classifier_activation=None), + lenet = paddle.vision.LeNet() + model = paddle.Model(lenet, inputs, labels) - optim = paddle.optimizer.Adam(0.001) + optim = paddle.optimizer.Adam(0.001, parameters=lenet.parameters()) model.prepare(optimizer=optim, loss=paddle.nn.CrossEntropyLoss(), metrics=paddle.metric.Accuracy()) @@ -436,10 +437,11 @@ class ModelCheckpoint(Callback): train_dataset = paddle.vision.datasets.MNIST(mode='train') - model = paddle.Model(paddle.vision.LeNet(classifier_activation=None), + lenet = paddle.vision.LeNet() + model = paddle.Model(lenet, inputs, labels) - optim = paddle.optimizer.Adam(0.001) + optim = paddle.optimizer.Adam(0.001, parameters=lenet.parameters()) model.prepare(optimizer=optim, loss=paddle.nn.CrossEntropyLoss(), metrics=paddle.metric.Accuracy()) diff --git a/python/paddle/hapi/model.py b/python/paddle/hapi/model.py index d41852c9d7f4f5812a852d6a5c644e75d137f530..1bfe8f07a2fbd90837eaaea28616b64b9d4ac26a 100644 --- a/python/paddle/hapi/model.py +++ b/python/paddle/hapi/model.py @@ -814,10 +814,9 @@ class Model(object): from paddle.static import InputSpec device = paddle.set_device('cpu') # or 'gpu' - # if use static graph, do not set - paddle.disable_static(device) net = nn.Sequential( + nn.Flatten(1), nn.Linear(784, 200), nn.Tanh(), nn.Linear(200, 10)) @@ -833,7 +832,7 @@ class Model(object): paddle.nn.CrossEntropyLoss(), paddle.metric.Accuracy()) - data = paddle.vision.datasets.MNIST(mode='train', chw_format=False) + data = paddle.vision.datasets.MNIST(mode='train') model.fit(data, epochs=2, batch_size=32, verbose=1) """ @@ -850,7 +849,8 @@ class Model(object): if not isinstance(inputs, (list, dict, Input)): raise TypeError( - "'inputs' must be list or dict, and couldn't be None.") + "'inputs' must be list or dict in static graph mode") + self._inputs = self._verify_spec(inputs, True) self._labels = self._verify_spec(labels) @@ -885,7 +885,6 @@ class Model(object): from paddle.static import InputSpec device = paddle.set_device('cpu') # or 'gpu' - paddle.disable_static(device) net = nn.Sequential( nn.Linear(784, 200), @@ -930,7 +929,6 @@ class Model(object): from paddle.static import InputSpec device = paddle.set_device('cpu') # or 'gpu' - paddle.disable_static(device) net = nn.Sequential( nn.Linear(784, 200), @@ -970,9 +968,12 @@ class Model(object): import numpy as np import paddle import paddle.nn as nn + from paddle.static import InputSpec device = paddle.set_device('cpu') # or 'gpu' - paddle.disable_static(device) + + input = InputSpec([None, 784], 'float32', 'x') + label = InputSpec([None, 1], 'int64', 'label') net = nn.Sequential( nn.Linear(784, 200), @@ -980,7 +981,7 @@ class Model(object): nn.Linear(200, 10), nn.Softmax()) - model = paddle.Model(net) + model = paddle.Model(net, input, label) model.prepare() data = np.random.random(size=(4,784)).astype(np.float32) out = model.test_batch([data]) @@ -1026,6 +1027,7 @@ class Model(object): def __init__(self): super(Mnist, self).__init__() self.net = nn.Sequential( + nn.Flatten(1), nn.Linear(784, 200), nn.Tanh(), nn.Linear(200, 10), @@ -1045,7 +1047,7 @@ class Model(object): optim = paddle.optimizer.SGD(learning_rate=1e-3, parameters=model.parameters()) model.prepare(optim, paddle.nn.CrossEntropyLoss()) - data = paddle.vision.datasets.MNIST(mode='train', chw_format=False) + data = paddle.vision.datasets.MNIST(mode='train') model.fit(data, epochs=1, batch_size=32, verbose=0) model.save('checkpoint/test') # save for training model.save('inference_model', False) # save for inference @@ -1092,15 +1094,18 @@ class Model(object): import paddle import paddle.nn as nn - + from paddle.static import InputSpec + device = paddle.set_device('cpu') - paddle.disable_static(device) + + input = InputSpec([None, 784], 'float32', 'x') model = paddle.Model(nn.Sequential( nn.Linear(784, 200), nn.Tanh(), nn.Linear(200, 10), - nn.Softmax())) + nn.Softmax()), input) + model.save('checkpoint/test') model.load('checkpoint/test') """ @@ -1165,13 +1170,15 @@ class Model(object): import paddle import paddle.nn as nn + from paddle.static import InputSpec - paddle.disable_static() - + input = InputSpec([None, 784], 'float32', 'x') + model = paddle.Model(nn.Sequential( nn.Linear(784, 200), nn.Tanh(), - nn.Linear(200, 10))) + nn.Linear(200, 10)), input) + params = model.parameters() """ return self._adapter.parameters() @@ -1313,7 +1320,7 @@ class Model(object): label = InputSpec([None, 1], 'int64', 'label') model = paddle.Model( - paddle.vision.models.LeNet(classifier_activation=None), + paddle.vision.models.LeNet(), input, label) optim = paddle.optimizer.Adam( learning_rate=0.001, parameters=model.parameters()) @@ -1350,7 +1357,7 @@ class Model(object): label = InputSpec([None, 1], 'int64', 'label') model = paddle.Model( - paddle.vision.models.LeNet(classifier_activation=None), input, label) + paddle.vision.models.LeNet(), input, label) optim = paddle.optimizer.Adam( learning_rate=0.001, parameters=model.parameters()) model.prepare( @@ -1483,7 +1490,7 @@ class Model(object): # imperative mode paddle.disable_static() - model = paddle.Model(paddle.vision.models.LeNet()) + model = paddle.Model(paddle.vision.models.LeNet(), input, label) model.prepare(metrics=paddle.metric.Accuracy()) result = model.evaluate(val_dataset, batch_size=64) print(result) @@ -1580,19 +1587,20 @@ class Model(object): test_dataset = MnistDataset(mode='test', return_label=False) - # declarative mode + # imperative mode input = InputSpec([-1, 1, 28, 28], 'float32', 'image') model = paddle.Model(paddle.vision.models.LeNet(), input) model.prepare() - result = model.predict(test_dataset, batch_size=64) print(len(result[0]), result[0][0].shape) - # imperative mode + # declarative mode device = paddle.set_device('cpu') - paddle.disable_static(device) - model = paddle.Model(paddle.vision.models.LeNet()) + paddle.enable_static() + input = InputSpec([-1, 1, 28, 28], 'float32', 'image') + model = paddle.Model(paddle.vision.models.LeNet(), input) model.prepare() + result = model.predict(test_dataset, batch_size=64) print(len(result[0]), result[0][0].shape) """ @@ -1813,7 +1821,7 @@ class Model(object): return logs, outputs return logs - def summary(self, input_size=None, batch_size=None, dtype=None): + def summary(self, input_size=None, dtype=None): """Prints a string summary of the network. Args: @@ -1822,7 +1830,6 @@ class Model(object): one input, input_size can be tuple or InputSpec. if model have multiple input, input_size must be a list which contain every input's shape. Default: None. - batch_size (int, optional): batch size of input tensor, Default: None. dtypes (str, optional): if dtypes is None, 'float32' will be used, Default: None. Returns: @@ -1833,15 +1840,11 @@ class Model(object): import paddle from paddle.static import InputSpec - - dynamic = True - device = paddle.set_device('cpu') - paddle.disable_static(device) if dynamic else None input = InputSpec([None, 1, 28, 28], 'float32', 'image') label = InputSpec([None, 1], 'int64', 'label') - model = paddle.Model(paddle.vision.LeNet(classifier_activation=None), + model = paddle.Model(paddle.vision.LeNet(), input, label) optim = paddle.optimizer.Adam( learning_rate=0.001, parameters=model.parameters()) @@ -1859,7 +1862,7 @@ class Model(object): _input_size = input_size else: _input_size = self._inputs - return summary(self.network, _input_size, batch_size, dtype) + return summary(self.network, _input_size, dtype) def _verify_spec(self, specs, is_input=False): out_specs = [] diff --git a/python/paddle/hapi/model_summary.py b/python/paddle/hapi/model_summary.py index d388ba62f2a244f84497810739e5fd6b50f669d2..3ead3fc295c0b2e8772b16e2aeb3a4fd1f2be75a 100644 --- a/python/paddle/hapi/model_summary.py +++ b/python/paddle/hapi/model_summary.py @@ -25,7 +25,7 @@ from collections import OrderedDict __all__ = ['summary'] -def summary(net, input_size, batch_size=None, dtypes=None): +def summary(net, input_size, dtypes=None): """Prints a string summary of the network. Args: @@ -33,8 +33,8 @@ def summary(net, input_size, batch_size=None, dtypes=None): input_size (tuple|InputSpec|list[tuple|InputSpec]): size of input tensor. if model only have one input, input_size can be tuple or InputSpec. if model have multiple input, input_size must be a list which contain - every input's shape. - batch_size (int, optional): batch size of input tensor, Default: None. + every input's shape. Note that input_size only dim of + batch_size can be None or -1. dtypes (str, optional): if dtypes is None, 'float32' will be used, Default: None. Returns: @@ -77,14 +77,12 @@ def summary(net, input_size, batch_size=None, dtypes=None): lenet = LeNet() - params_info = paddle.summary(lenet, (1, 28, 28)) + params_info = paddle.summary(lenet, (1, 1, 28, 28)) print(params_info) """ if isinstance(input_size, InputSpec): - _input_size = tuple(input_size.shape[1:]) - if batch_size is None: - batch_size = input_size.shape[0] + _input_size = tuple(input_size.shape) elif isinstance(input_size, list): _input_size = [] for item in input_size: @@ -96,9 +94,7 @@ def summary(net, input_size, batch_size=None, dtypes=None): type(item)) if isinstance(item, InputSpec): - _input_size.append(tuple(item.shape[1:])) - if batch_size is None: - batch_size = item.shape[0] + _input_size.append(tuple(item.shape)) else: _input_size.append(item) elif isinstance(input_size, int): @@ -106,28 +102,88 @@ def summary(net, input_size, batch_size=None, dtypes=None): else: _input_size = input_size - if batch_size is None: - batch_size = -1 - if not paddle.in_dynamic_mode(): warnings.warn( "Your model was created in static mode, this may not get correct summary information!" ) - result, params_info = summary_string(net, _input_size, batch_size, dtypes) + def _is_shape(shape): + for item in shape: + if isinstance(item, (list, tuple)): + return False + return True + + def _check_shape(shape): + num_unknown = 0 + new_shape = [] + for i in range(len(shape)): + item = shape[i] + if item is None or item == -1: + num_unknown += 1 + if num_unknown > 1: + raise ValueError( + 'Option input_size only the dim of batch_size can be None or -1.' + ) + item = 1 + elif isinstance(item, numbers.Number): + if item <= 0: + raise ValueError( + "Expected element in input size greater than zero, but got {}". + format(item)) + new_shape.append(item) + return tuple(new_shape) + + def _check_input(input_size): + if isinstance(input_size, (list, tuple)) and _is_shape(input_size): + return _check_shape(input_size) + else: + return [_check_input(i) for i in input_size] + + _input_size = _check_input(_input_size) + result, params_info = summary_string(net, _input_size, dtypes) print(result) return params_info -def summary_string(model, input_size, batch_size=-1, dtypes=None): - if dtypes == None: - dtypes = ['float32'] * len(input_size) +def summary_string(model, input_size, dtypes=None): + def _all_is_numper(items): + for item in items: + if not isinstance(item, numbers.Number): + return False + return True + + def _build_dtypes(input_size, dtype): + if dtype is None: + dtype = 'float32' + + if isinstance(input_size, (list, tuple)) and _all_is_numper(input_size): + return [dtype] + else: + return [_build_dtypes(i, dtype) for i in input_size] + + if not isinstance(dtypes, (list, tuple)): + dtypes = _build_dtypes(input_size, dtypes) + + batch_size = 1 summary_str = '' depth = len(list(model.sublayers())) + def _get_shape_from_tensor(x): + if isinstance(x, (paddle.fluid.Variable, paddle.fluid.core.VarBase)): + return list(x.shape) + elif isinstance(x, (list, tuple)): + return [_get_shape_from_tensor(xx) for xx in x] + + def _get_output_shape(output): + if isinstance(output, (list, tuple)): + output_shape = [_get_output_shape(o) for o in output] + else: + output_shape = list(output.shape) + return output_shape + def register_hook(layer): def hook(layer, input, output): class_name = str(layer.__class__).split(".")[-1].split("'")[0] @@ -139,14 +195,18 @@ def summary_string(model, input_size, batch_size=-1, dtypes=None): m_key = "%s-%i" % (class_name, layer_idx + 1) summary[m_key] = OrderedDict() - summary[m_key]["input_shape"] = list(input[0].shape) - summary[m_key]["input_shape"][0] = batch_size - if isinstance(output, (list, tuple)): - summary[m_key]["output_shape"] = [[-1] + list(o.shape)[1:] - for o in output] - else: - summary[m_key]["output_shape"] = list(output.shape) - summary[m_key]["output_shape"][0] = batch_size + + try: + summary[m_key]["input_shape"] = _get_shape_from_tensor(input) + except: + warnings.warn('Get layer {} input shape failed!') + summary[m_key]["input_shape"] = [] + + try: + summary[m_key]["output_shape"] = _get_output_shape(output) + except: + warnings.warn('Get layer {} output shape failed!') + summary[m_key]["output_shape"] params = 0 @@ -175,29 +235,22 @@ def summary_string(model, input_size, batch_size=-1, dtypes=None): hooks.append(layer.register_forward_post_hook(hook)) - def _check_input_size(input_sizes): - for input_size in input_sizes: - for item in input_size: - if not isinstance(item, numbers.Number): - raise TypeError( - "Expected item in input size be a number, but got {}". - format(type(item))) - - if item <= 0: - raise ValueError( - "Expected item in input size greater than zero, but got {}". - format(item)) - if isinstance(input_size, tuple): input_size = [input_size] - _check_input_size(input_size) + def build_input(input_size, dtypes): + if isinstance(input_size, (list, tuple)) and _all_is_numper(input_size): + if isinstance(dtypes, (list, tuple)): + dtype = dtypes[0] + else: + dtype = dtypes + return paddle.rand(list(input_size), dtype) + else: + return [ + build_input(i, dtype) for i, dtype in zip(input_size, dtypes) + ] - x = [ - paddle.rand( - [2] + list(in_size), dtype=dtype) - for in_size, dtype in zip(input_size, dtypes) - ] + x = build_input(input_size, dtypes) # create properties summary = OrderedDict() @@ -213,22 +266,65 @@ def summary_string(model, input_size, batch_size=-1, dtypes=None): for h in hooks: h.remove() - table_width = 80 - summary_str += "-" * table_width + "\n" - line_new = "{:>15} {:>20} {:>20} {:>15}".format( - "Layer (type)", "Input Shape", "Output Shape", "Param #") + def _get_str_length(summary): + head_length = { + 'layer_width': 15, + 'input_shape_width': 20, + 'output_shape_width': 20, + 'params_width': 15, + 'table_width': 75 + } + + for layer in summary: + if head_length['output_shape_width'] < len( + str(summary[layer]["output_shape"])): + head_length['output_shape_width'] = len( + str(summary[layer]["output_shape"])) + if head_length['input_shape_width'] < len( + str(summary[layer]["input_shape"])): + head_length['input_shape_width'] = len( + str(summary[layer]["input_shape"])) + if head_length['layer_width'] < len(str(layer)): + head_length['layer_width'] = len(str(layer)) + if head_length['params_width'] < len( + str(summary[layer]["nb_params"])): + head_length['params_width'] = len( + str(summary[layer]["nb_params"])) + + _temp_width = 0 + for k, v in head_length.items(): + if k != 'table_width': + _temp_width += v + + if head_length['table_width'] < _temp_width + 5: + head_length['table_width'] = _temp_width + 5 + + return head_length + + table_width = _get_str_length(summary) + + summary_str += "-" * table_width['table_width'] + "\n" + line_new = "{:^{}} {:^{}} {:^{}} {:^{}}".format( + "Layer (type)", table_width['layer_width'], "Input Shape", + table_width['input_shape_width'], "Output Shape", + table_width['output_shape_width'], "Param #", + table_width['params_width']) summary_str += line_new + "\n" - summary_str += "=" * table_width + "\n" + summary_str += "=" * table_width['table_width'] + "\n" total_params = 0 total_output = 0 trainable_params = 0 + max_length = 0 for layer in summary: # input_shape, output_shape, trainable, nb_params - line_new = "{:>15} {:>20} {:>20} {:>15}".format( - layer, + line_new = "{:^{}} {:^{}} {:^{}} {:^{}}".format( + layer, table_width['layer_width'], str(summary[layer]["input_shape"]), + table_width['input_shape_width'], str(summary[layer]["output_shape"]), - "{0:,}".format(summary[layer]["nb_params"]), ) + table_width['output_shape_width'], + "{0:,}".format(summary[layer]["nb_params"]), + table_width['params_width']) total_params += summary[layer]["nb_params"] try: @@ -242,25 +338,32 @@ def summary_string(model, input_size, batch_size=-1, dtypes=None): trainable_params += summary[layer]["nb_params"] summary_str += line_new + "\n" - # assume 4 bytes/number (float on cuda). - total_input_size = abs( - np.prod(sum(input_size, ())) * batch_size * 4. / (1024**2.)) + def _get_input_size(input_size, size): + if isinstance(input_size, (list, tuple)) and _all_is_numper(input_size): + size = abs(np.prod(input_size) * 4. / (1024**2.)) + else: + size = sum([_get_input_size(i, size) for i in input_size]) + return size + + total_input_size = _get_input_size(input_size, 0) + total_output_size = abs(2. * total_output * 4. / (1024**2.)) # x2 for gradients total_params_size = abs(total_params * 4. / (1024**2.)) total_size = total_params_size + total_output_size + total_input_size - summary_str += "=" * table_width + "\n" + summary_str += "=" * table_width['table_width'] + "\n" summary_str += "Total params: {0:,}".format(total_params) + "\n" summary_str += "Trainable params: {0:,}".format(trainable_params) + "\n" summary_str += "Non-trainable params: {0:,}".format(total_params - trainable_params) + "\n" - summary_str += "-" * table_width + "\n" + summary_str += "-" * table_width['table_width'] + "\n" summary_str += "Input size (MB): %0.2f" % total_input_size + "\n" summary_str += "Forward/backward pass size (MB): %0.2f" % total_output_size + "\n" summary_str += "Params size (MB): %0.2f" % total_params_size + "\n" summary_str += "Estimated Total Size (MB): %0.2f" % total_size + "\n" - summary_str += "-" * table_width + "\n" + summary_str += "-" * table_width['table_width'] + "\n" + # return summary return summary_str, { 'total_params': total_params, diff --git a/python/paddle/io/__init__.py b/python/paddle/io/__init__.py index 6f0b0f3c9c135e00a01c69869742a40ff615a96b..92dd819b3cd5eb2a7c1df479ea1ede288c5ba8f1 100644 --- a/python/paddle/io/__init__.py +++ b/python/paddle/io/__init__.py @@ -25,16 +25,8 @@ __all__ = [ 'Sampler', 'SequenceSampler', 'RandomSampler', - 'load', - 'save', - 'load_program_state', - 'set_program_state', - 'load_inference_model', - 'save_inference_model', ] from ..fluid.io import DataLoader from ..fluid.dataloader import Dataset, IterableDataset, BatchSampler, get_worker_info, \ TensorDataset, Sampler, SequenceSampler, RandomSampler, DistributedBatchSampler -from ..fluid.io import load, save, load_program_state, set_program_state, \ - load_inference_model, save_inference_model, batch diff --git a/python/paddle/metric/metrics.py b/python/paddle/metric/metrics.py index 1cd65171ff034e8b834c38184e4452796da985ca..f4a9b8c01d02a109f91aa717342ba47321f5f47e 100644 --- a/python/paddle/metric/metrics.py +++ b/python/paddle/metric/metrics.py @@ -182,7 +182,6 @@ class Accuracy(Metric): import numpy as np import paddle - paddle.disable_static() x = paddle.to_tensor(np.array([ [0.1, 0.2, 0.3, 0.4], [0.1, 0.4, 0.3, 0.2], @@ -202,11 +201,13 @@ class Accuracy(Metric): .. code-block:: python import paddle - - paddle.disable_static() + from paddle.static import InputSpec + + input = InputSpec([None, 1, 28, 28], 'float32', 'image') + label = InputSpec([None, 1], 'int64', 'label') train_dataset = paddle.vision.datasets.MNIST(mode='train') - model = paddle.Model(paddle.vision.LeNet(classifier_activation=None)) + model = paddle.Model(paddle.vision.LeNet(), input, label) optim = paddle.optimizer.Adam( learning_rate=0.001, parameters=model.parameters()) model.prepare( diff --git a/python/paddle/nn/__init__.py b/python/paddle/nn/__init__.py index 79583f344f0c1f642586c4a8ecc08f2aa4e24008..47a8668362e5e0b3901cda602b483d3e96bce29a 100644 --- a/python/paddle/nn/__init__.py +++ b/python/paddle/nn/__init__.py @@ -38,7 +38,6 @@ from .clip import GradientClipByValue #DEFINE_ALIAS # from .clip import set_gradient_clip #DEFINE_ALIAS from .clip import clip #DEFINE_ALIAS from .clip import clip_by_norm #DEFINE_ALIAS -from .control_flow import case #DEFINE_ALIAS from .control_flow import cond #DEFINE_ALIAS # from .control_flow import DynamicRNN #DEFINE_ALIAS # from .control_flow import StaticRNN #DEFINE_ALIAS diff --git a/python/paddle/nn/control_flow.py b/python/paddle/nn/control_flow.py index d3b1ec700fe1a7fa5b2ece70b1d320cee36342f9..85f2fbcbe6eccf0052a10fce2960211be2244af4 100644 --- a/python/paddle/nn/control_flow.py +++ b/python/paddle/nn/control_flow.py @@ -13,14 +13,12 @@ # limitations under the License. # TODO: define the control flow api -from ..fluid.layers import case #DEFINE_ALIAS from ..fluid.layers import cond #DEFINE_ALIAS from ..fluid.layers import while_loop #DEFINE_ALIAS from ..fluid.layers import switch_case #DEFINE_ALIAS __all__ = [ - 'case', 'cond', # 'DynamicRNN', # 'StaticRNN', diff --git a/python/paddle/nn/functional/pooling.py b/python/paddle/nn/functional/pooling.py index 1eb9167d0352f36bfcb87db79ba23dce14bac507..bed5df8fa78c753565c8391ba414135e63d335aa 100755 --- a/python/paddle/nn/functional/pooling.py +++ b/python/paddle/nn/functional/pooling.py @@ -571,15 +571,26 @@ def max_pool1d(x, padding = _expand_low_nd_padding(padding) if in_dygraph_mode(): - pool_out = core.ops.max_pool2d_with_index( - x, 'ksize', kernel_size, 'global_pooling', False, 'strides', stride, - 'paddings', padding, 'padding_algorithm', padding_algorithm, - 'use_cudnn', True, 'ceil_mode', ceil_mode, 'use_mkldnn', False, - 'exclusive', True, 'data_format', data_format) - return (squeeze(pool_out[0], [2]), squeeze( - pool_out[1], [2])) if return_indices else squeeze(pool_out[0], [2]) + if return_indices: + pool_out = core.ops.max_pool2d_with_index( + x, 'ksize', kernel_size, 'global_pooling', False, 'strides', + stride, 'paddings', padding, 'padding_algorithm', + padding_algorithm, 'use_cudnn', True, 'ceil_mode', ceil_mode, + 'use_mkldnn', False, 'exclusive', True, 'data_format', + data_format) + return (squeeze(pool_out[0], [2]), squeeze( + pool_out[1], + [2])) if return_indices else squeeze(pool_out[0], [2]) + else: + pool_out = core.ops.pool2d( + x, 'pooling_type', 'max', 'ksize', kernel_size, + 'global_pooling', False, 'padding_algorithm', padding_algorithm, + 'strides', stride, 'paddings', padding, 'use_cudnn', True, + 'ceil_mode', ceil_mode, 'use_mkldnn', False, 'exclusive', True, + 'data_format', data_format) + return squeeze(pool_out, [2]) - op_type = 'max_pool2d_with_index' + op_type = 'max_pool2d_with_index' if return_indices else "pool2d" helper = LayerHelper(op_type, **locals()) dtype = helper.input_dtype() pool_out = helper.create_variable_for_type_inference(dtype) @@ -696,7 +707,7 @@ def max_pool2d(x, ) if in_dygraph_mode(): - if data_format == "NCHW": + if return_indices: output = core.ops.max_pool2d_with_index( x, 'ksize', kernel_size, 'global_pooling', False, 'strides', stride, 'paddings', padding, 'padding_algorithm', @@ -704,7 +715,7 @@ def max_pool2d(x, 'use_mkldnn', False, 'exclusive', True, 'data_format', data_format) return output if return_indices else output[0] - elif data_format == "NHWC" and not return_indices: + else: output = core.ops.pool2d( x, 'pooling_type', 'max', 'ksize', kernel_size, 'global_pooling', False, 'padding_algorithm', padding_algorithm, @@ -713,7 +724,7 @@ def max_pool2d(x, 'data_format', data_format) return output - op_type = 'max_pool2d_with_index' if data_format == "NCHW" else "pool2d" + op_type = 'max_pool2d_with_index' if return_indices else "pool2d" helper = LayerHelper(op_type, **locals()) dtype = helper.input_dtype() pool_out = helper.create_variable_for_type_inference(dtype) @@ -822,7 +833,7 @@ def max_pool3d(x, ) if in_dygraph_mode(): - if data_format == "NCDHW": + if return_indices: output = core.ops.max_pool3d_with_index( x, 'pooling_type', 'max', 'ksize', kernel_size, 'strides', stride, 'paddings', padding, 'global_pooling', False, @@ -830,7 +841,7 @@ def max_pool3d(x, 'ceil_mode', ceil_mode, 'use_mkldnn', False, 'exclusive', True, 'data_format', data_format) return output if return_indices else output[0] - elif data_format == "NDHWC" and not return_indices: + else: output = core.ops.pool3d( x, 'pooling_type', 'max', 'ksize', kernel_size, 'global_pooling', False, 'padding_algorithm', padding_algorithm, @@ -839,7 +850,7 @@ def max_pool3d(x, 'data_format', data_format) return output - op_type = "max_pool3d_with_index" if data_format == "NCDHW" else "pool3d" + op_type = "max_pool3d_with_index" if return_indices else "pool3d" helper = LayerHelper(op_type, **locals()) dtype = helper.input_dtype() pool_out = helper.create_variable_for_type_inference(dtype) diff --git a/python/paddle/static/__init__.py b/python/paddle/static/__init__.py index 42a28a4f04e368cf8a1c1a144639bc743234a540..e0a9bc6eec3ba37049cc670a63fbf54f68c5defb 100644 --- a/python/paddle/static/__init__.py +++ b/python/paddle/static/__init__.py @@ -17,8 +17,9 @@ __all__ = [ 'append_backward', 'gradients', 'Executor', 'global_scope', 'scope_guard', 'BuildStrategy', 'CompiledProgram', 'Print', 'py_func', 'ExecutionStrategy', 'name_scope', 'ParallelExecutor', 'program_guard', 'WeightNormParamAttr', - 'default_main_program', 'default_startup_program', 'Program', 'save', - 'load', 'data', 'InputSpec' + 'default_main_program', 'default_startup_program', 'Program', 'data', + 'InputSpec', 'save', 'load', 'save_inference_model', 'load_inference_model', + 'load_program_state', 'set_program_state' ] from . import nn @@ -41,5 +42,9 @@ from ..fluid.layers.control_flow import Print #DEFINE_ALIAS from ..fluid.layers.nn import py_func #DEFINE_ALIAS from ..fluid.parallel_executor import ParallelExecutor #DEFINE_ALIAS from ..fluid.param_attr import WeightNormParamAttr #DEFINE_ALIAS -from ..tensor.io import save #DEFINE_ALIAS -from ..tensor.io import load #DEFINE_ALIAS +from ..fluid.io import save #DEFINE_ALIAS +from ..fluid.io import load #DEFINE_ALIAS +from ..fluid.io import save_inference_model #DEFINE_ALIAS +from ..fluid.io import load_inference_model #DEFINE_ALIAS +from ..fluid.io import load_program_state #DEFINE_ALIAS +from ..fluid.io import set_program_state #DEFINE_ALIAS diff --git a/python/paddle/static/input.py b/python/paddle/static/input.py index eb70320ea7551de6e1117900e3769f000fdf23dd..d7a3cfcdb92debe0447cb4054478729e92dbab32 100644 --- a/python/paddle/static/input.py +++ b/python/paddle/static/input.py @@ -19,10 +19,12 @@ from paddle.fluid import core, Variable from paddle.fluid.layer_helper import LayerHelper from paddle.fluid.data_feeder import check_type from paddle.fluid.framework import convert_np_dtype_to_dtype_ +from paddle.fluid.framework import static_only __all__ = ['data', 'InputSpec'] +@static_only def data(name, shape, dtype=None, lod_level=0): """ **Data Layer** diff --git a/python/paddle/static/nn/__init__.py b/python/paddle/static/nn/__init__.py index 0c5d42ad1a1ecf5ba7f4668b0046ab94e61e5494..f58bcc99411b5952971f257dc92374fed3728de5 100644 --- a/python/paddle/static/nn/__init__.py +++ b/python/paddle/static/nn/__init__.py @@ -17,6 +17,7 @@ __all__ = [ 'batch_norm', 'embedding', 'bilinear_tensor_product', + 'case', 'conv2d', 'conv2d_transpose', 'conv3d', @@ -40,6 +41,7 @@ __all__ = [ from ...fluid.layers import fc #DEFINE_ALIAS from ...fluid.layers import batch_norm #DEFINE_ALIAS from ...fluid.layers import bilinear_tensor_product #DEFINE_ALIAS +from ...fluid.layers import case #DEFINE_ALIAS from ...fluid.layers import conv2d #DEFINE_ALIAS from ...fluid.layers import conv2d_transpose #DEFINE_ALIAS from ...fluid.layers import conv3d #DEFINE_ALIAS diff --git a/python/paddle/tensor/__init__.py b/python/paddle/tensor/__init__.py index cec989fba8b0887499876f94bb862f72ba0e18d5..b6bab16c9680cf839be3b94b9a2c0fbe92d26dd9 100755 --- a/python/paddle/tensor/__init__.py +++ b/python/paddle/tensor/__init__.py @@ -42,8 +42,6 @@ from .creation import tril #DEFINE_ALIAS from .creation import meshgrid #DEFINE_ALIAS from .creation import empty #DEFINE_ALIAS from .creation import empty_like #DEFINE_ALIAS -from .io import save #DEFINE_ALIAS -from .io import load #DEFINE_ALIAS from .linalg import matmul #DEFINE_ALIAS from .linalg import dot #DEFINE_ALIAS # from .linalg import einsum #DEFINE_ALIAS diff --git a/python/paddle/tensor/io.py b/python/paddle/tensor/io.py deleted file mode 100644 index 66e956e8e4bf0c3beb8f0d71a63b2d9407ef22fc..0000000000000000000000000000000000000000 --- a/python/paddle/tensor/io.py +++ /dev/null @@ -1,19 +0,0 @@ -# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -# TODO: define functions to save & load a tensor -from ..fluid import save #DEFINE_ALIAS -from ..fluid.io import load #DEFINE_ALIAS - -__all__ = ['save', 'load'] diff --git a/python/paddle/tensor/linalg.py b/python/paddle/tensor/linalg.py index f27cfba487d78f284408815eaba933b18f303df9..15580b6618e6dc61d5e74216776417a02846a16a 100644 --- a/python/paddle/tensor/linalg.py +++ b/python/paddle/tensor/linalg.py @@ -156,8 +156,8 @@ def matmul(x, y, transpose_x=False, transpose_y=False, name=None): def __check_input(x, y): var_names = {'x': x, 'y': y} for name, val in var_names.items(): - check_variable_and_dtype(val, name, ['float32', 'float64'], - 'matmul') + check_variable_and_dtype( + val, name, ['float16', 'float32', 'float64'], 'matmul') __check_input(x, y) @@ -707,20 +707,14 @@ def cross(x, y, axis=None, name=None): Examples: .. code-block:: python import paddle - from paddle import to_variable - import numpy as np - paddle.disable_static() - data_x = np.array([[1.0, 1.0, 1.0], - [2.0, 2.0, 2.0], - [3.0, 3.0, 3.0]]) - data_y = np.array([[1.0, 1.0, 1.0], - [1.0, 1.0, 1.0], - [1.0, 1.0, 1.0]]) - x = to_variable(data_x) - y = to_variable(data_y) - + x = paddle.to_tensor([[1.0, 1.0, 1.0], + [2.0, 2.0, 2.0], + [3.0, 3.0, 3.0]]) + y = paddle.to_tensor([[1.0, 1.0, 1.0], + [1.0, 1.0, 1.0], + [1.0, 1.0, 1.0]]) z1 = paddle.cross(x, y) print(z1.numpy()) # [[-1. -1. -1.] diff --git a/python/paddle/tensor/manipulation.py b/python/paddle/tensor/manipulation.py index 9de407841fb461713d00f997afdf33a38a531245..dc6a04a4723bd92dbe1c76fce5b3e52981136211 100644 --- a/python/paddle/tensor/manipulation.py +++ b/python/paddle/tensor/manipulation.py @@ -53,7 +53,7 @@ __all__ = [ 'shard_index', 'slice', 'split', - 'chunk' + 'chunk', 'squeeze', 'stack', 'strided_slice', diff --git a/python/paddle/tensor/math.py b/python/paddle/tensor/math.py index 966544c7abb54ae7de163aa322890a55ee94d3d8..ce32fb76f5cd4da30f95baa3b8928d1c879477ca 100755 --- a/python/paddle/tensor/math.py +++ b/python/paddle/tensor/math.py @@ -1650,12 +1650,11 @@ def cumsum(x, axis=None, dtype=None, name=None): .. code-block:: python import paddle - from paddle import to_variable import numpy as np paddle.disable_static() data_np = np.arange(12).reshape(3, 4) - data = to_variable(data_np) + data = paddle.to_tensor(data_np) y = paddle.cumsum(data) print(y.numpy()) diff --git a/python/paddle/tests/dist_hapi_mnist_dynamic.py b/python/paddle/tests/dist_hapi_mnist_dynamic.py index 13d966bf38f2aaed35e120aa4d25705cfc36c230..46d02789402b22263cfbd8cbdfeb6d66a5de900d 100644 --- a/python/paddle/tests/dist_hapi_mnist_dynamic.py +++ b/python/paddle/tests/dist_hapi_mnist_dynamic.py @@ -68,7 +68,7 @@ class TestDistTraning(unittest.TestCase): inputs = [Input(im_shape, 'float32', 'image')] labels = [Input([None, 1], 'int64', 'label')] - model = Model(LeNet(classifier_activation=None), inputs, labels) + model = Model(LeNet(), inputs, labels) optim = fluid.optimizer.Momentum( learning_rate=0.001, momentum=.9, parameter_list=model.parameters()) model.prepare(optim, CrossEntropyLoss(), Accuracy()) diff --git a/python/paddle/tests/dist_hapi_mnist_static.py b/python/paddle/tests/dist_hapi_mnist_static.py index 9d8e5f3652c9810579a0b66035a64d1d3b915bff..eab34a6dafbc354a24aa51e93a9fec9efc3b3cee 100644 --- a/python/paddle/tests/dist_hapi_mnist_static.py +++ b/python/paddle/tests/dist_hapi_mnist_static.py @@ -67,7 +67,7 @@ class TestDistTraning(unittest.TestCase): inputs = [Input(im_shape, 'float32', 'image')] labels = [Input([None, 1], 'int64', 'label')] - model = Model(LeNet(classifier_activation=None), inputs, labels) + model = Model(LeNet(), inputs, labels) optim = fluid.optimizer.Momentum( learning_rate=0.001, momentum=.9, parameter_list=model.parameters()) model.prepare(optim, CrossEntropyLoss(), Accuracy()) diff --git a/python/paddle/tests/test_dataset_movie_reviews.py b/python/paddle/tests/test_dataset_movie_reviews.py deleted file mode 100644 index e6e6667013f89aca305f82a744c00de2af818736..0000000000000000000000000000000000000000 --- a/python/paddle/tests/test_dataset_movie_reviews.py +++ /dev/null @@ -1,50 +0,0 @@ -# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import unittest -import numpy as np - -from paddle.text.datasets import * - - -class TestMovieReviewsTrain(unittest.TestCase): - def test_main(self): - movie_reviews = MovieReviews(mode='train') - self.assertTrue(len(movie_reviews) == 1600) - - # traversal whole dataset may cost a - # long time, randomly check 1 sample - idx = np.random.randint(0, 1600) - data = movie_reviews[idx] - self.assertTrue(len(data) == 2) - self.assertTrue(len(data[0].shape) == 1) - self.assertTrue(int(data[1]) in [0, 1]) - - -class TestMovieReviewsTest(unittest.TestCase): - def test_main(self): - movie_reviews = MovieReviews(mode='test') - self.assertTrue(len(movie_reviews) == 400) - - # traversal whole dataset may cost a - # long time, randomly check 1 sample - idx = np.random.randint(0, 400) - data = movie_reviews[idx] - self.assertTrue(len(data) == 2) - self.assertTrue(len(data[0].shape) == 1) - self.assertTrue(int(data[1]) in [0, 1]) - - -if __name__ == '__main__': - unittest.main() diff --git a/python/paddle/tests/test_model.py b/python/paddle/tests/test_model.py index 62cc39c1f7b5303d98bffd9eb5814d4579a6d3f1..5a3d837407b14be4ab3ce9ae189fbc1d09b2b5ff 100644 --- a/python/paddle/tests/test_model.py +++ b/python/paddle/tests/test_model.py @@ -40,7 +40,7 @@ from paddle.fluid.dygraph.dygraph_to_static.program_translator import ProgramTra class LeNetDygraph(paddle.nn.Layer): - def __init__(self, num_classes=10, classifier_activation=None): + def __init__(self, num_classes=10): super(LeNetDygraph, self).__init__() self.num_classes = num_classes self.features = Sequential( @@ -55,8 +55,7 @@ class LeNetDygraph(paddle.nn.Layer): if num_classes > 0: self.fc = Sequential( - Linear(400, 120), Linear(120, 84), Linear(84, 10), - Softmax()) #Todo: accept any activation + Linear(400, 120), Linear(120, 84), Linear(84, 10)) def forward(self, inputs): x = self.features(inputs) @@ -67,6 +66,34 @@ class LeNetDygraph(paddle.nn.Layer): return x +class LeNetDeclarative(fluid.dygraph.Layer): + def __init__(self, num_classes=10): + super(LeNetDeclarative, self).__init__() + self.num_classes = num_classes + self.features = Sequential( + Conv2d( + 1, 6, 3, stride=1, padding=1), + ReLU(), + Pool2D(2, 'max', 2), + Conv2d( + 6, 16, 5, stride=1, padding=0), + ReLU(), + Pool2D(2, 'max', 2)) + + if num_classes > 0: + self.fc = Sequential( + Linear(400, 120), Linear(120, 84), Linear(84, 10)) + + @declarative + def forward(self, inputs): + x = self.features(inputs) + + if self.num_classes > 0: + x = fluid.layers.flatten(x, 1) + x = self.fc(x) + return x + + class MnistDataset(MNIST): def __init__(self, mode, return_label=True, sample_num=None): super(MnistDataset, self).__init__(mode=mode) @@ -198,7 +225,7 @@ class TestModel(unittest.TestCase): paddle.manual_seed(seed) paddle.framework.random._manual_program_seed(seed) - net = LeNet(classifier_activation=None) + net = LeNet() optim_new = fluid.optimizer.Adam( learning_rate=0.001, parameter_list=net.parameters()) model = Model(net, inputs=self.inputs, labels=self.labels) @@ -287,14 +314,12 @@ class TestModel(unittest.TestCase): class MyModel(paddle.nn.Layer): - def __init__(self, classifier_activation='softmax'): + def __init__(self): super(MyModel, self).__init__() self._fc = Linear(20, 10) - self._act = Softmax() #Todo: accept any activation def forward(self, x): y = self._fc(x) - y = self._act(y) return y @@ -311,7 +336,7 @@ class TestModelFunction(unittest.TestCase): def get_expect(): fluid.enable_dygraph(fluid.CPUPlace()) self.set_seed() - m = MyModel(classifier_activation=None) + m = MyModel() optim = fluid.optimizer.SGD(learning_rate=0.001, parameter_list=m.parameters()) m.train() @@ -330,7 +355,7 @@ class TestModelFunction(unittest.TestCase): fluid.enable_dygraph(device) if dynamic else None self.set_seed() - net = MyModel(classifier_activation=None) + net = MyModel() optim2 = fluid.optimizer.SGD(learning_rate=0.001, parameter_list=net.parameters()) @@ -374,7 +399,7 @@ class TestModelFunction(unittest.TestCase): for dynamic in [True, False]: device = paddle.set_device('cpu') fluid.enable_dygraph(device) if dynamic else None - net = MyModel(classifier_activation=None) + net = MyModel() inputs = [InputSpec([None, 20], 'float32', 'x')] labels = [InputSpec([None, 1], 'int64', 'label')] optim = fluid.optimizer.SGD(learning_rate=0.001, @@ -417,7 +442,7 @@ class TestModelFunction(unittest.TestCase): fluid.enable_dygraph(device) inputs = [InputSpec([None, 20], 'float32', 'x')] labels = [InputSpec([None, 1], 'int64', 'label')] - model = Model(MyModel(classifier_activation=None), inputs, labels) + model = Model(MyModel(), inputs, labels) optim = fluid.optimizer.SGD(learning_rate=0.001, parameter_list=model.parameters()) model.prepare(optimizer=optim, loss=CrossEntropyLoss(reduction="sum")) @@ -426,7 +451,7 @@ class TestModelFunction(unittest.TestCase): inputs = [InputSpec([None, 20], 'float32', 'x')] labels = [InputSpec([None, 1], 'int64', 'label')] - model = Model(MyModel(classifier_activation=None), inputs, labels) + model = Model(MyModel(), inputs, labels) optim = fluid.optimizer.SGD(learning_rate=0.001, parameter_list=model.parameters()) model.prepare(optimizer=optim, loss=CrossEntropyLoss(reduction="sum")) @@ -436,7 +461,7 @@ class TestModelFunction(unittest.TestCase): def test_static_save_dynamic_load(self): path = tempfile.mkdtemp() - net = MyModel(classifier_activation=None) + net = MyModel() inputs = [InputSpec([None, 20], 'float32', 'x')] labels = [InputSpec([None, 1], 'int64', 'label')] optim = fluid.optimizer.SGD(learning_rate=0.001, @@ -448,7 +473,7 @@ class TestModelFunction(unittest.TestCase): device = paddle.set_device('cpu') fluid.enable_dygraph(device) #if dynamic else None - net = MyModel(classifier_activation=None) + net = MyModel() inputs = [InputSpec([None, 20], 'float32', 'x')] labels = [InputSpec([None, 1], 'int64', 'label')] optim = fluid.optimizer.SGD(learning_rate=0.001, @@ -494,17 +519,22 @@ class TestModelFunction(unittest.TestCase): model.summary(input_size=(20)) model.summary(input_size=[(20)]) - model.summary(input_size=(20), batch_size=2) + model.summary(input_size=(20), dtype='float32') def test_summary_nlp(self): paddle.enable_static() - nlp_net = paddle.nn.GRU(input_size=2, hidden_size=3, num_layers=3) - paddle.summary(nlp_net, (1, 2)) + nlp_net = paddle.nn.GRU(input_size=2, + hidden_size=3, + num_layers=3, + direction="bidirectional") + paddle.summary(nlp_net, (1, 1, 2)) + rnn = paddle.nn.LSTM(16, 32, 2) + paddle.summary(rnn, [(-1, 23, 16), ((2, None, 32), (2, -1, 32))]) def test_summary_error(self): with self.assertRaises(TypeError): nlp_net = paddle.nn.GRU(input_size=2, hidden_size=3, num_layers=3) - paddle.summary(nlp_net, (1, '2')) + paddle.summary(nlp_net, (1, 1, '2')) with self.assertRaises(ValueError): nlp_net = paddle.nn.GRU(input_size=2, hidden_size=3, num_layers=3) @@ -512,7 +542,7 @@ class TestModelFunction(unittest.TestCase): paddle.disable_static() nlp_net = paddle.nn.GRU(input_size=2, hidden_size=3, num_layers=3) - paddle.summary(nlp_net, (1, 2)) + paddle.summary(nlp_net, (1, 1, 2)) def test_export_deploy_model(self): for dynamic in [True, False]: @@ -552,7 +582,7 @@ class TestModelFunction(unittest.TestCase): class TestRaiseError(unittest.TestCase): def test_input_without_name(self): - net = MyModel(classifier_activation=None) + net = MyModel() inputs = [InputSpec([None, 10], 'float32')] labels = [InputSpec([None, 1], 'int64', 'label')] @@ -562,7 +592,7 @@ class TestRaiseError(unittest.TestCase): def test_input_without_input_spec(self): for dynamic in [True, False]: paddle.disable_static() if dynamic else None - net = MyModel(classifier_activation=None) + net = MyModel() with self.assertRaises(TypeError): model = Model(net) paddle.enable_static() diff --git a/python/paddle/tests/test_pretrained_model.py b/python/paddle/tests/test_pretrained_model.py index 641147d39e94f7c2bbb426900ed484546bad49c6..bf9c2a2ae061179bd9d656fa3cb23c5ac93c6c53 100644 --- a/python/paddle/tests/test_pretrained_model.py +++ b/python/paddle/tests/test_pretrained_model.py @@ -13,6 +13,8 @@ # limitations under the License. import unittest +import tempfile +import shutil import numpy as np import paddle @@ -23,27 +25,36 @@ import paddle.vision.models as models # test the predicted resutls of static graph and dynamic graph are equal # when used pretrained model class TestPretrainedModel(unittest.TestCase): - def infer(self, x, arch, dygraph=True): - if dygraph: - paddle.disable_static() - - net = models.__dict__[arch](pretrained=True, classifier_activation=None) - inputs = [InputSpec([None, 3, 224, 224], 'float32', 'image')] - model = paddle.Model(network=net, inputs=inputs) - model.prepare() - res = model.test_batch(x) - - if dygraph: - paddle.enable_static() - return res + def infer(self, arch): + path = tempfile.mkdtemp() + x = np.array(np.random.random((2, 3, 224, 224)), dtype=np.float32) + res = {} + for dygraph in [True, False]: + if not dygraph: + paddle.enable_static() + + net = models.__dict__[arch]() + inputs = [InputSpec([None, 3, 224, 224], 'float32', 'image')] + model = paddle.Model(network=net, inputs=inputs) + model.prepare() + + if dygraph: + model.save(path) + res['dygraph'] = model.test_batch(x) + else: + model.load(path) + res['static'] = model.test_batch(x) + + if not dygraph: + paddle.disable_static() + + shutil.rmtree(path) + np.testing.assert_allclose(res['dygraph'], res['static']) def test_models(self): arches = ['mobilenet_v1', 'mobilenet_v2', 'resnet18'] for arch in arches: - x = np.array(np.random.random((2, 3, 224, 224)), dtype=np.float32) - y_dygraph = self.infer(x, arch) - y_static = self.infer(x, arch, dygraph=False) - np.testing.assert_allclose(y_dygraph, y_static) + self.infer(arch) if __name__ == '__main__': diff --git a/python/paddle/tests/test_vision_models.py b/python/paddle/tests/test_vision_models.py index 44f9ab5390122f086af4168e225fe2b5a2d8a9b2..6489b02615bb94269f83c4ed780e555c487eacbe 100644 --- a/python/paddle/tests/test_vision_models.py +++ b/python/paddle/tests/test_vision_models.py @@ -36,7 +36,7 @@ class TestVisonModels(unittest.TestCase): model.test_batch(x) def test_mobilenetv2_pretrained(self): - self.models_infer('mobilenet_v2', pretrained=True) + self.models_infer('mobilenet_v2', pretrained=False) def test_mobilenetv1(self): self.models_infer('mobilenet_v1') diff --git a/python/paddle/text/datasets/__init__.py b/python/paddle/text/datasets/__init__.py index b5cea40a4f4924fee7a76bad6030a21fa5a61268..71571d09b5c2bde8ba970624195973d2a1771789 100644 --- a/python/paddle/text/datasets/__init__.py +++ b/python/paddle/text/datasets/__init__.py @@ -16,7 +16,6 @@ from . import conll05 from . import imdb from . import imikolov from . import movielens -from . import movie_reviews from . import uci_housing from . import wmt14 from . import wmt16 @@ -25,7 +24,6 @@ from .conll05 import * from .imdb import * from .imikolov import * from .movielens import * -from .movie_reviews import * from .uci_housing import * from .wmt14 import * from .wmt16 import * @@ -34,7 +32,6 @@ __all__ = conll05.__all__ \ + imdb.__all__ \ + imikolov.__all__ \ + movielens.__all__ \ - + movie_reviews.__all__ \ + uci_housing.__all__ \ + wmt14.__all__ \ + wmt16.__all__ diff --git a/python/paddle/text/datasets/movie_reviews.py b/python/paddle/text/datasets/movie_reviews.py deleted file mode 100644 index db5b15654f96712abc842ca0c99654c1b7378808..0000000000000000000000000000000000000000 --- a/python/paddle/text/datasets/movie_reviews.py +++ /dev/null @@ -1,173 +0,0 @@ -# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from __future__ import print_function - -import os -import six -import numpy as np -import collections -import nltk -from nltk.corpus import movie_reviews -import zipfile -from functools import cmp_to_key -from itertools import chain - -import paddle -from paddle.io import Dataset - -__all__ = ['MovieReviews'] - -URL = "https://corpora.bj.bcebos.com/movie_reviews%2Fmovie_reviews.zip" -MD5 = '155de2b77c6834dd8eea7cbe88e93acb' - -NUM_TRAINING_INSTANCES = 1600 -NUM_TOTAL_INSTANCES = 2000 - - -class MovieReviews(Dataset): - """ - Implementation of `NLTK movie reviews `_ dataset. - - Args: - data_file(str): path to data tar file, can be set None if - :attr:`download` is True. Default None - mode(str): 'train' 'test' mode. Default 'train'. - download(bool): whether auto download cifar dataset if - :attr:`data_file` unset. Default True. - - Returns: - Dataset: instance of movie reviews dataset - - Examples: - - .. code-block:: python - - import paddle - from paddle.text.datasets import MovieReviews - - class SimpleNet(paddle.nn.Layer): - def __init__(self): - super(SimpleNet, self).__init__() - - def forward(self, word, category): - return paddle.sum(word), category - - paddle.disable_static() - - movie_reviews = MovieReviews(mode='train') - - for i in range(10): - word_list, category = movie_reviews[i] - word_list = paddle.to_tensor(word_list) - category = paddle.to_tensor(category) - - model = SimpleNet() - word_list, category = model(word_list, category) - print(word_list.numpy().shape, category.numpy()) - - """ - - def __init__(self, mode='train'): - assert mode.lower() in ['train', 'test'], \ - "mode should be 'train', 'test', but got {}".format(mode) - self.mode = mode.lower() - - self._download_data_if_not_yet() - - # read dataset into memory - self._load_sentiment_data() - - def _get_word_dict(self): - """ - Sorted the words by the frequency of words which occur in sample - :return: - words_freq_sorted - """ - words_freq_sorted = list() - word_freq_dict = collections.defaultdict(int) - - for category in movie_reviews.categories(): - for field in movie_reviews.fileids(category): - for words in movie_reviews.words(field): - word_freq_dict[words] += 1 - words_sort_list = list(six.iteritems(word_freq_dict)) - words_sort_list.sort(key=cmp_to_key(lambda a, b: b[1] - a[1])) - for index, word in enumerate(words_sort_list): - words_freq_sorted.append((word[0], index)) - return words_freq_sorted - - def _sort_files(self): - """ - Sorted the sample for cross reading the sample - :return: - files_list - """ - files_list = list() - neg_file_list = movie_reviews.fileids('neg') - pos_file_list = movie_reviews.fileids('pos') - files_list = list( - chain.from_iterable(list(zip(neg_file_list, pos_file_list)))) - return files_list - - def _load_sentiment_data(self): - """ - Load the data set - :return: - data_set - """ - self.data = [] - words_ids = dict(self._get_word_dict()) - for sample_file in self._sort_files(): - words_list = list() - category = 0 if 'neg' in sample_file else 1 - for word in movie_reviews.words(sample_file): - words_list.append(words_ids[word.lower()]) - self.data.append((words_list, category)) - - def _download_data_if_not_yet(self): - """ - Download the data set, if the data set is not download. - """ - try: - # download and extract movie_reviews.zip - paddle.dataset.common.download( - URL, 'corpora', md5sum=MD5, save_name='movie_reviews.zip') - path = os.path.join(paddle.dataset.common.DATA_HOME, 'corpora') - filename = os.path.join(path, 'movie_reviews.zip') - zip_file = zipfile.ZipFile(filename) - zip_file.extractall(path) - zip_file.close() - # make sure that nltk can find the data - if paddle.dataset.common.DATA_HOME not in nltk.data.path: - nltk.data.path.append(paddle.dataset.common.DATA_HOME) - movie_reviews.categories() - except LookupError: - print("Downloading movie_reviews data set, please wait.....") - nltk.download( - 'movie_reviews', download_dir=paddle.dataset.common.DATA_HOME) - print("Download data set success.....") - print("Path is " + nltk.data.find('corpora/movie_reviews').path) - - def __getitem__(self, idx): - if self.mode == 'test': - idx += NUM_TRAINING_INSTANCES - data = self.data[idx] - return np.array(data[0]), np.array(data[1]) - - def __len__(self): - if self.mode == 'train': - return NUM_TRAINING_INSTANCES - else: - return NUM_TOTAL_INSTANCES - NUM_TRAINING_INSTANCES diff --git a/python/paddle/vision/models/lenet.py b/python/paddle/vision/models/lenet.py index c2d4be7cda10d580af44154e6a03e0871ec20706..b30d5992f9adf792f0bae90e19b9c00c4d47c0a2 100644 --- a/python/paddle/vision/models/lenet.py +++ b/python/paddle/vision/models/lenet.py @@ -12,20 +12,19 @@ #See the License for the specific language governing permissions and #limitations under the License. -import paddle.fluid as fluid -from paddle.nn import Conv2d, Pool2D, Linear, ReLU, Sequential, Softmax +import paddle +import paddle.nn as nn __all__ = ['LeNet'] -class LeNet(fluid.dygraph.Layer): +class LeNet(nn.Layer): """LeNet model from `"LeCun Y, Bottou L, Bengio Y, et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11): 2278-2324.`_ Args: num_classes (int): output dim of last fc layer. If num_classes <=0, last fc layer will not be defined. Default: 10. - classifier_activation (str): activation for the last fc layer. Default: 'softmax'. Examples: .. code-block:: python @@ -35,28 +34,27 @@ class LeNet(fluid.dygraph.Layer): model = LeNet() """ - def __init__(self, num_classes=10, classifier_activation='softmax'): + def __init__(self, num_classes=10): super(LeNet, self).__init__() self.num_classes = num_classes - self.features = Sequential( - Conv2d( + self.features = nn.Sequential( + nn.Conv2d( 1, 6, 3, stride=1, padding=1), - ReLU(), - Pool2D(2, 'max', 2), - Conv2d( + nn.ReLU(), + nn.MaxPool2d(2, 2), + nn.Conv2d( 6, 16, 5, stride=1, padding=0), - ReLU(), - Pool2D(2, 'max', 2)) + nn.ReLU(), + nn.MaxPool2d(2, 2)) if num_classes > 0: - self.fc = Sequential( - Linear(400, 120), Linear(120, 84), Linear(84, 10), - Softmax()) #Todo: accept any activation + self.fc = nn.Sequential( + nn.Linear(400, 120), nn.Linear(120, 84), nn.Linear(84, 10)) def forward(self, inputs): x = self.features(inputs) if self.num_classes > 0: - x = fluid.layers.flatten(x, 1) + x = paddle.flatten(x, 1) x = self.fc(x) return x diff --git a/python/paddle/vision/models/mobilenetv1.py b/python/paddle/vision/models/mobilenetv1.py index 10defbf593dca642386e73b65094612f93dce9dc..39654122e3b33e52f4693653dbdd14d6e513228e 100644 --- a/python/paddle/vision/models/mobilenetv1.py +++ b/python/paddle/vision/models/mobilenetv1.py @@ -12,10 +12,8 @@ # See the License for the specific language governing permissions and # limitations under the License. -import paddle.fluid as fluid -from paddle.fluid.initializer import MSRA -from paddle.fluid.param_attr import ParamAttr -from paddle.fluid.dygraph.nn import Conv2D, Pool2D, BatchNorm, Linear +import paddle +import paddle.nn as nn from paddle.utils.download import get_weights_path_from_url @@ -24,85 +22,66 @@ __all__ = ['MobileNetV1', 'mobilenet_v1'] model_urls = { 'mobilenetv1_1.0': ('https://paddle-hapi.bj.bcebos.com/models/mobilenet_v1_x1.0.pdparams', - 'bf0d25cb0bed1114d9dac9384ce2b4a6') + '42a154c2f26f86e7457d6daded114e8c') } -class ConvBNLayer(fluid.dygraph.Layer): +class ConvBNLayer(nn.Layer): def __init__(self, - num_channels, - filter_size, - num_filters, + in_channels, + out_channels, + kernel_size, stride, padding, - channels=None, - num_groups=1, - act='relu', - use_cudnn=True, - name=None): + num_groups=1): super(ConvBNLayer, self).__init__() - self._conv = Conv2D( - num_channels=num_channels, - num_filters=num_filters, - filter_size=filter_size, + self._conv = nn.Conv2d( + in_channels, + out_channels, + kernel_size, stride=stride, padding=padding, groups=num_groups, - act=None, - use_cudnn=use_cudnn, - param_attr=ParamAttr( - initializer=MSRA(), name=self.full_name() + "_weights"), bias_attr=False) - self._batch_norm = BatchNorm( - num_filters, - act=act, - param_attr=ParamAttr(name=self.full_name() + "_bn" + "_scale"), - bias_attr=ParamAttr(name=self.full_name() + "_bn" + "_offset"), - moving_mean_name=self.full_name() + "_bn" + '_mean', - moving_variance_name=self.full_name() + "_bn" + '_variance') + self._norm_layer = nn.BatchNorm2d(out_channels) + self._act = nn.ReLU() - def forward(self, inputs): - y = self._conv(inputs) - y = self._batch_norm(y) - return y + def forward(self, x): + x = self._conv(x) + x = self._norm_layer(x) + x = self._act(x) + return x -class DepthwiseSeparable(fluid.dygraph.Layer): - def __init__(self, - num_channels, - num_filters1, - num_filters2, - num_groups, - stride, - scale, - name=None): +class DepthwiseSeparable(nn.Layer): + def __init__(self, in_channels, out_channels1, out_channels2, num_groups, + stride, scale): super(DepthwiseSeparable, self).__init__() self._depthwise_conv = ConvBNLayer( - num_channels=num_channels, - num_filters=int(num_filters1 * scale), - filter_size=3, + in_channels, + int(out_channels1 * scale), + kernel_size=3, stride=stride, padding=1, - num_groups=int(num_groups * scale), - use_cudnn=False) + num_groups=int(num_groups * scale)) self._pointwise_conv = ConvBNLayer( - num_channels=int(num_filters1 * scale), - filter_size=1, - num_filters=int(num_filters2 * scale), + int(out_channels1 * scale), + int(out_channels2 * scale), + kernel_size=1, stride=1, padding=0) - def forward(self, inputs): - y = self._depthwise_conv(inputs) - y = self._pointwise_conv(y) - return y + def forward(self, x): + x = self._depthwise_conv(x) + x = self._pointwise_conv(x) + return x -class MobileNetV1(fluid.dygraph.Layer): +class MobileNetV1(nn.Layer): """MobileNetV1 model from `"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" `_. @@ -111,7 +90,6 @@ class MobileNetV1(fluid.dygraph.Layer): num_classes (int): output dim of last fc layer. If num_classes <=0, last fc layer will not be defined. Default: 1000. with_pool (bool): use pool before the last fc layer or not. Default: True. - classifier_activation (str): activation for the last fc layer. Default: 'softmax'. Examples: .. code-block:: python @@ -121,11 +99,7 @@ class MobileNetV1(fluid.dygraph.Layer): model = MobileNetV1() """ - def __init__(self, - scale=1.0, - num_classes=1000, - with_pool=True, - classifier_activation='softmax'): + def __init__(self, scale=1.0, num_classes=1000, with_pool=True): super(MobileNetV1, self).__init__() self.scale = scale self.dwsl = [] @@ -133,18 +107,17 @@ class MobileNetV1(fluid.dygraph.Layer): self.with_pool = with_pool self.conv1 = ConvBNLayer( - num_channels=3, - filter_size=3, - channels=3, - num_filters=int(32 * scale), + in_channels=3, + out_channels=int(32 * scale), + kernel_size=3, stride=2, padding=1) dws21 = self.add_sublayer( sublayer=DepthwiseSeparable( - num_channels=int(32 * scale), - num_filters1=32, - num_filters2=64, + in_channels=int(32 * scale), + out_channels1=32, + out_channels2=64, num_groups=32, stride=1, scale=scale), @@ -153,9 +126,9 @@ class MobileNetV1(fluid.dygraph.Layer): dws22 = self.add_sublayer( sublayer=DepthwiseSeparable( - num_channels=int(64 * scale), - num_filters1=64, - num_filters2=128, + in_channels=int(64 * scale), + out_channels1=64, + out_channels2=128, num_groups=64, stride=2, scale=scale), @@ -164,9 +137,9 @@ class MobileNetV1(fluid.dygraph.Layer): dws31 = self.add_sublayer( sublayer=DepthwiseSeparable( - num_channels=int(128 * scale), - num_filters1=128, - num_filters2=128, + in_channels=int(128 * scale), + out_channels1=128, + out_channels2=128, num_groups=128, stride=1, scale=scale), @@ -175,9 +148,9 @@ class MobileNetV1(fluid.dygraph.Layer): dws32 = self.add_sublayer( sublayer=DepthwiseSeparable( - num_channels=int(128 * scale), - num_filters1=128, - num_filters2=256, + in_channels=int(128 * scale), + out_channels1=128, + out_channels2=256, num_groups=128, stride=2, scale=scale), @@ -186,9 +159,9 @@ class MobileNetV1(fluid.dygraph.Layer): dws41 = self.add_sublayer( sublayer=DepthwiseSeparable( - num_channels=int(256 * scale), - num_filters1=256, - num_filters2=256, + in_channels=int(256 * scale), + out_channels1=256, + out_channels2=256, num_groups=256, stride=1, scale=scale), @@ -197,9 +170,9 @@ class MobileNetV1(fluid.dygraph.Layer): dws42 = self.add_sublayer( sublayer=DepthwiseSeparable( - num_channels=int(256 * scale), - num_filters1=256, - num_filters2=512, + in_channels=int(256 * scale), + out_channels1=256, + out_channels2=512, num_groups=256, stride=2, scale=scale), @@ -209,9 +182,9 @@ class MobileNetV1(fluid.dygraph.Layer): for i in range(5): tmp = self.add_sublayer( sublayer=DepthwiseSeparable( - num_channels=int(512 * scale), - num_filters1=512, - num_filters2=512, + in_channels=int(512 * scale), + out_channels1=512, + out_channels2=512, num_groups=512, stride=1, scale=scale), @@ -220,9 +193,9 @@ class MobileNetV1(fluid.dygraph.Layer): dws56 = self.add_sublayer( sublayer=DepthwiseSeparable( - num_channels=int(512 * scale), - num_filters1=512, - num_filters2=1024, + in_channels=int(512 * scale), + out_channels1=512, + out_channels2=1024, num_groups=512, stride=2, scale=scale), @@ -231,9 +204,9 @@ class MobileNetV1(fluid.dygraph.Layer): dws6 = self.add_sublayer( sublayer=DepthwiseSeparable( - num_channels=int(1024 * scale), - num_filters1=1024, - num_filters2=1024, + in_channels=int(1024 * scale), + out_channels1=1024, + out_channels2=1024, num_groups=1024, stride=1, scale=scale), @@ -241,29 +214,23 @@ class MobileNetV1(fluid.dygraph.Layer): self.dwsl.append(dws6) if with_pool: - self.pool2d_avg = Pool2D(pool_type='avg', global_pooling=True) - - if num_classes > -1: - self.out = Linear( - int(1024 * scale), - num_classes, - act=classifier_activation, - param_attr=ParamAttr( - initializer=MSRA(), name=self.full_name() + "fc7_weights"), - bias_attr=ParamAttr(name="fc7_offset")) - - def forward(self, inputs): - y = self.conv1(inputs) + self.pool2d_avg = nn.AdaptiveAvgPool2d(1) + + if num_classes > 0: + self.fc = nn.Linear(int(1024 * scale), num_classes) + + def forward(self, x): + x = self.conv1(x) for dws in self.dwsl: - y = dws(y) + x = dws(x) if self.with_pool: - y = self.pool2d_avg(y) + x = self.pool2d_avg(x) if self.num_classes > 0: - y = fluid.layers.reshape(y, shape=[-1, 1024]) - y = self.out(y) - return y + x = paddle.flatten(x, 1) + x = self.fc(x) + return x def _mobilenet(arch, pretrained=False, **kwargs): @@ -275,7 +242,7 @@ def _mobilenet(arch, pretrained=False, **kwargs): model_urls[arch][1]) assert weight_path.endswith( '.pdparams'), "suffix of weight must be .pdparams" - param, _ = fluid.load_dygraph(weight_path) + param, _ = paddle.load(weight_path) model.load_dict(param) return model diff --git a/python/paddle/vision/models/mobilenetv2.py b/python/paddle/vision/models/mobilenetv2.py index c08fb88f8bdb234fec99ed139aa7eb6249965c79..bab8b7b2b1b93bb17612843bf0032ee278c3e93f 100644 --- a/python/paddle/vision/models/mobilenetv2.py +++ b/python/paddle/vision/models/mobilenetv2.py @@ -14,9 +14,9 @@ import numpy as np import paddle -import paddle.fluid as fluid -from paddle.fluid.param_attr import ParamAttr -from paddle.fluid.dygraph.nn import Conv2D, Pool2D, BatchNorm, Linear + +import paddle.nn as nn +import paddle.nn.functional as F from paddle.utils.download import get_weights_path_from_url @@ -25,221 +25,166 @@ __all__ = ['MobileNetV2', 'mobilenet_v2'] model_urls = { 'mobilenetv2_1.0': ('https://paddle-hapi.bj.bcebos.com/models/mobilenet_v2_x1.0.pdparams', - '8ff74f291f72533f2a7956a4efff9d88') + '0340af0a901346c8d46f4529882fb63d') } -class ConvBNLayer(fluid.dygraph.Layer): - def __init__(self, - num_channels, - filter_size, - num_filters, - stride, - padding, - channels=None, - num_groups=1, - use_cudnn=True): - super(ConvBNLayer, self).__init__() - - tmp_param = ParamAttr(name=self.full_name() + "_weights") - self._conv = Conv2D( - num_channels=num_channels, - num_filters=num_filters, - filter_size=filter_size, - stride=stride, - padding=padding, - groups=num_groups, - act=None, - use_cudnn=use_cudnn, - param_attr=tmp_param, - bias_attr=False) - - self._batch_norm = BatchNorm( - num_filters, - param_attr=ParamAttr(name=self.full_name() + "_bn" + "_scale"), - bias_attr=ParamAttr(name=self.full_name() + "_bn" + "_offset"), - moving_mean_name=self.full_name() + "_bn" + '_mean', - moving_variance_name=self.full_name() + "_bn" + '_variance') - - def forward(self, inputs, if_act=True): - y = self._conv(inputs) - y = self._batch_norm(y) - if if_act: - y = fluid.layers.relu6(y) - return y - - -class InvertedResidualUnit(fluid.dygraph.Layer): - def __init__( - self, - num_channels, - num_in_filter, - num_filters, - stride, - filter_size, - padding, - expansion_factor, ): - super(InvertedResidualUnit, self).__init__() - num_expfilter = int(round(num_in_filter * expansion_factor)) - self._expand_conv = ConvBNLayer( - num_channels=num_channels, - num_filters=num_expfilter, - filter_size=1, - stride=1, - padding=0, - num_groups=1) - - self._bottleneck_conv = ConvBNLayer( - num_channels=num_expfilter, - num_filters=num_expfilter, - filter_size=filter_size, - stride=stride, - padding=padding, - num_groups=num_expfilter, - use_cudnn=False) - - self._linear_conv = ConvBNLayer( - num_channels=num_expfilter, - num_filters=num_filters, - filter_size=1, - stride=1, - padding=0, - num_groups=1) - - def forward(self, inputs, ifshortcut): - y = self._expand_conv(inputs, if_act=True) - y = self._bottleneck_conv(y, if_act=True) - y = self._linear_conv(y, if_act=False) - if ifshortcut: - y = fluid.layers.elementwise_add(inputs, y) - return y - - -class InvresiBlocks(fluid.dygraph.Layer): - def __init__(self, in_c, t, c, n, s): - super(InvresiBlocks, self).__init__() - - self._first_block = InvertedResidualUnit( - num_channels=in_c, - num_in_filter=in_c, - num_filters=c, - stride=s, - filter_size=3, - padding=1, - expansion_factor=t) - - self._inv_blocks = [] - for i in range(1, n): - tmp = self.add_sublayer( - sublayer=InvertedResidualUnit( - num_channels=c, - num_in_filter=c, - num_filters=c, - stride=1, - filter_size=3, - padding=1, - expansion_factor=t), - name=self.full_name() + "_" + str(i + 1)) - self._inv_blocks.append(tmp) - - def forward(self, inputs): - y = self._first_block(inputs, ifshortcut=False) - for inv_block in self._inv_blocks: - y = inv_block(y, ifshortcut=True) - return y - - -class MobileNetV2(fluid.dygraph.Layer): - """MobileNetV2 model from - `"MobileNetV2: Inverted Residuals and Linear Bottlenecks" `_. - - Args: - scale (float): scale of channels in each layer. Default: 1.0. - num_classes (int): output dim of last fc layer. If num_classes <=0, last fc layer - will not be defined. Default: 1000. - with_pool (bool): use pool before the last fc layer or not. Default: True. - classifier_activation (str): activation for the last fc layer. Default: 'softmax'. - - Examples: - .. code-block:: python +def _make_divisible(v, divisor, min_value=None): + if min_value is None: + min_value = divisor + new_v = max(min_value, int(v + divisor / 2) // divisor * divisor) - from paddle.vision.models import MobileNetV2 + if new_v < 0.9 * v: + new_v += divisor + return new_v - model = MobileNetV2() - """ +class ConvBNReLU(nn.Sequential): + def __init__(self, + in_planes, + out_planes, + kernel_size=3, + stride=1, + groups=1, + norm_layer=nn.BatchNorm2d): + padding = (kernel_size - 1) // 2 + + super(ConvBNReLU, self).__init__( + nn.Conv2d( + in_planes, + out_planes, + kernel_size, + stride, + padding, + groups=groups, + bias_attr=False), + norm_layer(out_planes), + nn.ReLU6()) + + +class InvertedResidual(nn.Layer): def __init__(self, - scale=1.0, - num_classes=1000, - with_pool=True, - classifier_activation='softmax'): + inp, + oup, + stride, + expand_ratio, + norm_layer=nn.BatchNorm2d): + super(InvertedResidual, self).__init__() + self.stride = stride + assert stride in [1, 2] + + hidden_dim = int(round(inp * expand_ratio)) + self.use_res_connect = self.stride == 1 and inp == oup + + layers = [] + if expand_ratio != 1: + layers.append( + ConvBNReLU( + inp, hidden_dim, kernel_size=1, norm_layer=norm_layer)) + layers.extend([ + ConvBNReLU( + hidden_dim, + hidden_dim, + stride=stride, + groups=hidden_dim, + norm_layer=norm_layer), + nn.Conv2d( + hidden_dim, oup, 1, 1, 0, bias_attr=False), + norm_layer(oup), + ]) + self.conv = nn.Sequential(*layers) + + def forward(self, x): + if self.use_res_connect: + return x + self.conv(x) + else: + return self.conv(x) + + +class MobileNetV2(nn.Layer): + def __init__(self, scale=1.0, num_classes=1000, with_pool=True): + """MobileNetV2 model from + `"MobileNetV2: Inverted Residuals and Linear Bottlenecks" `_. + + Args: + scale (float): scale of channels in each layer. Default: 1.0. + num_classes (int): output dim of last fc layer. If num_classes <=0, last fc layer + will not be defined. Default: 1000. + with_pool (bool): use pool before the last fc layer or not. Default: True. + + Examples: + .. code-block:: python + + from paddle.vision.models import MobileNetV2 + + model = MobileNetV2() + """ super(MobileNetV2, self).__init__() - self.scale = scale self.num_classes = num_classes self.with_pool = with_pool + input_channel = 32 + last_channel = 1280 + + block = InvertedResidual + round_nearest = 8 + norm_layer = nn.BatchNorm2d + inverted_residual_setting = [ + [1, 16, 1, 1], + [6, 24, 2, 2], + [6, 32, 3, 2], + [6, 64, 4, 2], + [6, 96, 3, 1], + [6, 160, 3, 2], + [6, 320, 1, 1], + ] - bottleneck_params_list = [ - (1, 16, 1, 1), - (6, 24, 2, 2), - (6, 32, 3, 2), - (6, 64, 4, 2), - (6, 96, 3, 1), - (6, 160, 3, 2), - (6, 320, 1, 1), + input_channel = _make_divisible(input_channel * scale, round_nearest) + self.last_channel = _make_divisible(last_channel * max(1.0, scale), + round_nearest) + features = [ + ConvBNReLU( + 3, input_channel, stride=2, norm_layer=norm_layer) ] - self._conv1 = ConvBNLayer( - num_channels=3, - num_filters=int(32 * scale), - filter_size=3, - stride=2, - padding=1) - - self._invl = [] - i = 1 - in_c = int(32 * scale) - for layer_setting in bottleneck_params_list: - t, c, n, s = layer_setting - i += 1 - tmp = self.add_sublayer( - sublayer=InvresiBlocks( - in_c=in_c, t=t, c=int(c * scale), n=n, s=s), - name='conv' + str(i)) - self._invl.append(tmp) - in_c = int(c * scale) - - self._out_c = int(1280 * scale) if scale > 1.0 else 1280 - self._conv9 = ConvBNLayer( - num_channels=in_c, - num_filters=self._out_c, - filter_size=1, - stride=1, - padding=0) + for t, c, n, s in inverted_residual_setting: + output_channel = _make_divisible(c * scale, round_nearest) + for i in range(n): + stride = s if i == 0 else 1 + features.append( + block( + input_channel, + output_channel, + stride, + expand_ratio=t, + norm_layer=norm_layer)) + input_channel = output_channel + + features.append( + ConvBNReLU( + input_channel, + self.last_channel, + kernel_size=1, + norm_layer=norm_layer)) + + self.features = nn.Sequential(*features) if with_pool: - self._pool2d_avg = Pool2D(pool_type='avg', global_pooling=True) - - if num_classes > 0: - tmp_param = ParamAttr(name=self.full_name() + "fc10_weights") - self._fc = Linear( - self._out_c, - num_classes, - act=classifier_activation, - param_attr=tmp_param, - bias_attr=ParamAttr(name="fc10_offset")) - - def forward(self, inputs): - y = self._conv1(inputs, if_act=True) - for inv in self._invl: - y = inv(y) - y = self._conv9(y, if_act=True) + self.pool2d_avg = nn.AdaptiveAvgPool2d(1) + + if self.num_classes > 0: + self.classifier = nn.Sequential( + nn.Dropout(0.2), nn.Linear(self.last_channel, num_classes)) + + def forward(self, x): + x = self.features(x) if self.with_pool: - y = self._pool2d_avg(y) + x = self.pool2d_avg(x) + if self.num_classes > 0: - y = fluid.layers.reshape(y, shape=[-1, self._out_c]) - y = self._fc(y) - return y + x = paddle.flatten(x, 1) + x = self.classifier(x) + return x def _mobilenet(arch, pretrained=False, **kwargs): @@ -251,7 +196,7 @@ def _mobilenet(arch, pretrained=False, **kwargs): model_urls[arch][1]) assert weight_path.endswith( '.pdparams'), "suffix of weight must be .pdparams" - param, _ = fluid.load_dygraph(weight_path) + param, _ = paddle.load(weight_path) model.load_dict(param) return model diff --git a/python/paddle/vision/models/resnet.py b/python/paddle/vision/models/resnet.py index da0c3e9eb3f67f0aad67cdef3c5527cb2275e844..f9e00aefd6bb2b6d0b7bf75055cc735c6651a52d 100644 --- a/python/paddle/vision/models/resnet.py +++ b/python/paddle/vision/models/resnet.py @@ -15,11 +15,8 @@ from __future__ import division from __future__ import print_function -import math -import paddle.fluid as fluid - -from paddle.fluid.dygraph.nn import Conv2D, Pool2D, BatchNorm, Linear -from paddle.fluid.dygraph.container import Sequential +import paddle +import paddle.nn as nn from paddle.utils.download import get_weights_path_from_url @@ -29,143 +26,129 @@ __all__ = [ model_urls = { 'resnet18': ('https://paddle-hapi.bj.bcebos.com/models/resnet18.pdparams', - '0ba53eea9bc970962d0ef96f7b94057e'), + 'cf548f46534aa3560945be4b95cd11c4'), 'resnet34': ('https://paddle-hapi.bj.bcebos.com/models/resnet34.pdparams', - '46bc9f7c3dd2e55b7866285bee91eff3'), + '8d2275cf8706028345f78ac0e1d31969'), 'resnet50': ('https://paddle-hapi.bj.bcebos.com/models/resnet50.pdparams', - '5ce890a9ad386df17cf7fe2313dca0a1'), + 'ca6f485ee1ab0492d38f323885b0ad80'), 'resnet101': ('https://paddle-hapi.bj.bcebos.com/models/resnet101.pdparams', - 'fb07a451df331e4b0bb861ed97c3a9b9'), + '02f35f034ca3858e1e54d4036443c92d'), 'resnet152': ('https://paddle-hapi.bj.bcebos.com/models/resnet152.pdparams', - 'f9c700f26d3644bb76ad2226ed5f5713'), + '7ad16a2f1e7333859ff986138630fd7a'), } -class ConvBNLayer(fluid.dygraph.Layer): +class BasicBlock(nn.Layer): + expansion = 1 + def __init__(self, - num_channels, - num_filters, - filter_size, + inplanes, + planes, stride=1, + downsample=None, groups=1, - act=None): - super(ConvBNLayer, self).__init__() - - self._conv = Conv2D( - num_channels=num_channels, - num_filters=num_filters, - filter_size=filter_size, - stride=stride, - padding=(filter_size - 1) // 2, - groups=groups, - act=None, - bias_attr=False) - - self._batch_norm = BatchNorm(num_filters, act=act) - - def forward(self, inputs): - x = self._conv(inputs) - x = self._batch_norm(x) - - return x - - -class BasicBlock(fluid.dygraph.Layer): - """residual block of resnet18 and resnet34 - """ - expansion = 1 - - def __init__(self, num_channels, num_filters, stride, shortcut=True): + base_width=64, + dilation=1, + norm_layer=None): super(BasicBlock, self).__init__() + if norm_layer is None: + norm_layer = nn.BatchNorm2d - self.conv0 = ConvBNLayer( - num_channels=num_channels, - num_filters=num_filters, - filter_size=3, - act='relu') - self.conv1 = ConvBNLayer( - num_channels=num_filters, - num_filters=num_filters, - filter_size=3, - stride=stride, - act='relu') + if dilation > 1: + raise NotImplementedError( + "Dilation > 1 not supported in BasicBlock") - if not shortcut: - self.short = ConvBNLayer( - num_channels=num_channels, - num_filters=num_filters, - filter_size=1, - stride=stride) + self.conv1 = nn.Conv2d( + inplanes, planes, 3, padding=1, stride=stride, bias_attr=False) + self.bn1 = norm_layer(planes) + self.relu = nn.ReLU() + self.conv2 = nn.Conv2d(planes, planes, 3, padding=1, bias_attr=False) + self.bn2 = norm_layer(planes) + self.downsample = downsample + self.stride = stride - self.shortcut = shortcut + def forward(self, x): + identity = x - def forward(self, inputs): - y = self.conv0(inputs) - conv1 = self.conv1(y) + out = self.conv1(x) + out = self.bn1(out) + out = self.relu(out) - if self.shortcut: - short = inputs - else: - short = self.short(inputs) + out = self.conv2(out) + out = self.bn2(out) - y = short + conv1 + if self.downsample is not None: + identity = self.downsample(x) - return fluid.layers.relu(y) + out += identity + out = self.relu(out) + return out -class BottleneckBlock(fluid.dygraph.Layer): - """residual block of resnet50, resnet101 amd resnet152 - """ + +class BottleneckBlock(nn.Layer): expansion = 4 - def __init__(self, num_channels, num_filters, stride, shortcut=True): + def __init__(self, + inplanes, + planes, + stride=1, + downsample=None, + groups=1, + base_width=64, + dilation=1, + norm_layer=None): super(BottleneckBlock, self).__init__() - - self.conv0 = ConvBNLayer( - num_channels=num_channels, - num_filters=num_filters, - filter_size=1, - act='relu') - self.conv1 = ConvBNLayer( - num_channels=num_filters, - num_filters=num_filters, - filter_size=3, + if norm_layer is None: + norm_layer = nn.BatchNorm2d + width = int(planes * (base_width / 64.)) * groups + + self.conv1 = nn.Conv2d(inplanes, width, 1, bias_attr=False) + self.bn1 = norm_layer(width) + + self.conv2 = nn.Conv2d( + width, + width, + 3, + padding=dilation, stride=stride, - act='relu') - self.conv2 = ConvBNLayer( - num_channels=num_filters, - num_filters=num_filters * self.expansion, - filter_size=1, - act=None) + groups=groups, + dilation=dilation, + bias_attr=False) + self.bn2 = norm_layer(width) - if not shortcut: - self.short = ConvBNLayer( - num_channels=num_channels, - num_filters=num_filters * self.expansion, - filter_size=1, - stride=stride) + self.conv3 = nn.Conv2d( + width, planes * self.expansion, 1, bias_attr=False) + self.bn3 = norm_layer(planes * self.expansion) + self.relu = nn.ReLU() + self.downsample = downsample + self.stride = stride - self.shortcut = shortcut + def forward(self, x): + identity = x - self._num_channels_out = num_filters * self.expansion + out = self.conv1(x) + out = self.bn1(out) + out = self.relu(out) - def forward(self, inputs): - x = self.conv0(inputs) - conv1 = self.conv1(x) - conv2 = self.conv2(conv1) + out = self.conv2(out) + out = self.bn2(out) + out = self.relu(out) - if self.shortcut: - short = inputs - else: - short = self.short(inputs) + out = self.conv3(out) + out = self.bn3(out) - x = fluid.layers.elementwise_add(x=short, y=conv2) + if self.downsample is not None: + identity = self.downsample(x) - return fluid.layers.relu(x) + out += identity + out = self.relu(out) + return out -class ResNet(fluid.dygraph.Layer): + +class ResNet(nn.Layer): """ResNet model from `"Deep Residual Learning for Image Recognition" `_ @@ -175,7 +158,6 @@ class ResNet(fluid.dygraph.Layer): num_classes (int): output dim of last fc layer. If num_classes <=0, last fc layer will not be defined. Default: 1000. with_pool (bool): use pool before the last fc layer or not. Default: True. - classifier_activation (str): activation for the last fc layer. Default: 'softmax'. Examples: .. code-block:: python @@ -189,82 +171,87 @@ class ResNet(fluid.dygraph.Layer): """ - def __init__(self, - Block, - depth=50, - num_classes=1000, - with_pool=True, - classifier_activation='softmax'): + def __init__(self, block, depth, num_classes=1000, with_pool=True): super(ResNet, self).__init__() - - self.num_classes = num_classes - self.with_pool = with_pool - - layer_config = { + layer_cfg = { 18: [2, 2, 2, 2], 34: [3, 4, 6, 3], 50: [3, 4, 6, 3], 101: [3, 4, 23, 3], - 152: [3, 8, 36, 3], + 152: [3, 8, 36, 3] } - assert depth in layer_config.keys(), \ - "supported depth are {} but input layer is {}".format( - layer_config.keys(), depth) - - layers = layer_config[depth] - - in_channels = 64 - out_channels = [64, 128, 256, 512] - - self.conv = ConvBNLayer( - num_channels=3, num_filters=64, filter_size=7, stride=2, act='relu') - self.pool = Pool2D( - pool_size=3, pool_stride=2, pool_padding=1, pool_type='max') - - self.layers = [] - for idx, num_blocks in enumerate(layers): - blocks = [] - shortcut = False - for b in range(num_blocks): - if b == 1: - in_channels = out_channels[idx] * Block.expansion - block = Block( - num_channels=in_channels, - num_filters=out_channels[idx], - stride=2 if b == 0 and idx != 0 else 1, - shortcut=shortcut) - blocks.append(block) - shortcut = True - layer = self.add_sublayer("layer_{}".format(idx), - Sequential(*blocks)) - self.layers.append(layer) + layers = layer_cfg[depth] + self.num_classes = num_classes + self.with_pool = with_pool + self._norm_layer = nn.BatchNorm2d + + self.inplanes = 64 + self.dilation = 1 + self.conv1 = nn.Conv2d( + 3, + self.inplanes, + kernel_size=7, + stride=2, + padding=3, + bias_attr=False) + self.bn1 = self._norm_layer(self.inplanes) + self.relu = nn.ReLU() + self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1) + self.layer1 = self._make_layer(block, 64, layers[0]) + self.layer2 = self._make_layer(block, 128, layers[1], stride=2) + self.layer3 = self._make_layer(block, 256, layers[2], stride=2) + self.layer4 = self._make_layer(block, 512, layers[3], stride=2) if with_pool: - self.global_pool = Pool2D( - pool_size=7, pool_type='avg', global_pooling=True) + self.avgpool = nn.AdaptiveAvgPool2d((1, 1)) if num_classes > 0: - stdv = 1.0 / math.sqrt(out_channels[-1] * Block.expansion * 1.0) - self.fc_input_dim = out_channels[-1] * Block.expansion * 1 * 1 - self.fc = Linear( - self.fc_input_dim, - num_classes, - act=classifier_activation, - param_attr=fluid.param_attr.ParamAttr( - initializer=fluid.initializer.Uniform(-stdv, stdv))) - - def forward(self, inputs): - x = self.conv(inputs) - x = self.pool(x) - for layer in self.layers: - x = layer(x) - - if self.with_pool: - x = self.global_pool(x) - - if self.num_classes > -1: - x = fluid.layers.reshape(x, shape=[-1, self.fc_input_dim]) + self.fc = nn.Linear(512 * block.expansion, num_classes) + + def _make_layer(self, block, planes, blocks, stride=1, dilate=False): + norm_layer = self._norm_layer + downsample = None + previous_dilation = self.dilation + if dilate: + self.dilation *= stride + stride = 1 + if stride != 1 or self.inplanes != planes * block.expansion: + downsample = nn.Sequential( + nn.Conv2d( + self.inplanes, + planes * block.expansion, + 1, + stride=stride, + bias_attr=False), + norm_layer(planes * block.expansion), ) + + layers = [] + layers.append( + block(self.inplanes, planes, stride, downsample, 1, 64, + previous_dilation, norm_layer)) + self.inplanes = planes * block.expansion + for _ in range(1, blocks): + layers.append(block(self.inplanes, planes, norm_layer=norm_layer)) + + return nn.Sequential(*layers) + + def forward(self, x): + x = self.conv1(x) + x = self.bn1(x) + x = self.relu(x) + x = self.maxpool(x) + x = self.layer1(x) + x = self.layer2(x) + x = self.layer3(x) + x = self.layer4(x) + + if self.with_pool > 0: + x = self.avgpool(x) + + if self.num_classes > 0: + x = paddle.flatten(x, 1) x = self.fc(x) + return x @@ -277,7 +264,7 @@ def _resnet(arch, Block, depth, pretrained, **kwargs): model_urls[arch][1]) assert weight_path.endswith( '.pdparams'), "suffix of weight must be .pdparams" - param, _ = fluid.load_dygraph(weight_path) + param, _ = paddle.load(weight_path) model.set_dict(param) return model diff --git a/python/paddle/vision/models/vgg.py b/python/paddle/vision/models/vgg.py index 8bfacda2476d0e24e549513b379181bf47e40d45..d11845b6616267d1cdfff197cc2c4a25a62c7d9e 100644 --- a/python/paddle/vision/models/vgg.py +++ b/python/paddle/vision/models/vgg.py @@ -12,9 +12,8 @@ # See the License for the specific language governing permissions and # limitations under the License. -import paddle.fluid as fluid -from paddle.nn import Conv2d, Pool2D, BatchNorm, Linear, ReLU, Softmax -from paddle.fluid.dygraph.container import Sequential +import paddle +import paddle.nn as nn from paddle.utils.download import get_weights_path_from_url @@ -28,39 +27,18 @@ __all__ = [ model_urls = { 'vgg16': ('https://paddle-hapi.bj.bcebos.com/models/vgg16.pdparams', - 'c788f453a3b999063e8da043456281ee') + '89bbffc0f87d260be9b8cdc169c991c4') } -class Classifier(fluid.dygraph.Layer): - def __init__(self, num_classes, classifier_activation='softmax'): - super(Classifier, self).__init__() - self.linear1 = Linear(512 * 7 * 7, 4096) - self.linear2 = Linear(4096, 4096) - self.linear3 = Linear(4096, num_classes) - self.act = Softmax() #Todo: accept any activation - - def forward(self, x): - x = self.linear1(x) - x = fluid.layers.relu(x) - x = fluid.layers.dropout(x, 0.5) - x = self.linear2(x) - x = fluid.layers.relu(x) - x = fluid.layers.dropout(x, 0.5) - x = self.linear3(x) - out = self.act(x) - return out - - -class VGG(fluid.dygraph.Layer): +class VGG(nn.Layer): """VGG model from `"Very Deep Convolutional Networks For Large-Scale Image Recognition" `_ Args: - features (fluid.dygraph.Layer): vgg features create by function make_layers. + features (nn.Layer): vgg features create by function make_layers. num_classes (int): output dim of last fc layer. If num_classes <=0, last fc layer will not be defined. Default: 1000. - classifier_activation (str): activation for the last fc layer. Default: 'softmax'. Examples: .. code-block:: python @@ -76,44 +54,41 @@ class VGG(fluid.dygraph.Layer): """ - def __init__(self, - features, - num_classes=1000, - classifier_activation='softmax'): + def __init__(self, features, num_classes=1000): super(VGG, self).__init__() self.features = features - self.num_classes = num_classes - - if num_classes > 0: - classifier = Classifier(num_classes, classifier_activation) - self.classifier = self.add_sublayer("classifier", - Sequential(classifier)) + self.avgpool = nn.AdaptiveAvgPool2d((7, 7)) + self.classifier = nn.Sequential( + nn.Linear(512 * 7 * 7, 4096), + nn.ReLU(), + nn.Dropout(), + nn.Linear(4096, 4096), + nn.ReLU(), + nn.Dropout(), + nn.Linear(4096, num_classes), ) def forward(self, x): x = self.features(x) - - if self.num_classes > 0: - x = fluid.layers.flatten(x, 1) - x = self.classifier(x) + x = self.avgpool(x) + x = paddle.flatten(x, 1) + x = self.classifier(x) return x def make_layers(cfg, batch_norm=False): layers = [] in_channels = 3 - for v in cfg: if v == 'M': - layers += [Pool2D(pool_size=2, pool_stride=2)] + layers += [nn.MaxPool2d(kernel_size=2, stride=2)] else: + conv2d = nn.Conv2d(in_channels, v, kernel_size=3, padding=1) if batch_norm: - conv2d = Conv2d(in_channels, v, kernel_size=3, padding=1) - layers += [conv2d, BatchNorm(v), ReLU()] + layers += [conv2d, nn.BatchNorm2d(v), nn.ReLU()] else: - conv2d = Conv2d(in_channels, v, kernel_size=3, padding=1) - layers += [conv2d, ReLU()] + layers += [conv2d, nn.ReLU()] in_channels = v - return Sequential(*layers) + return nn.Sequential(*layers) cfgs = { @@ -144,7 +119,7 @@ def _vgg(arch, cfg, batch_norm, pretrained, **kwargs): model_urls[arch][1]) assert weight_path.endswith( '.pdparams'), "suffix of weight must be .pdparams" - param, _ = fluid.load_dygraph(weight_path) + param, _ = paddle.load(weight_path) model.load_dict(param) return model diff --git a/tools/check_api_approvals.sh b/tools/check_api_approvals.sh index 943b8c01e8cc0c0e0a41e9b01951939f454c3181..1db3f6d3d27ec356a78946ceb7e14825a5c40526 100644 --- a/tools/check_api_approvals.sh +++ b/tools/check_api_approvals.sh @@ -39,8 +39,8 @@ fi api_spec_diff=`python ${PADDLE_ROOT}/tools/check_api_source_without_core_ops.py ${PADDLE_ROOT}/paddle/fluid/API_DEV.source.md5 ${PADDLE_ROOT}/paddle/fluid/API_PR.source.md5` if [ "$api_spec_diff" != "" ]; then - echo_line="${echo_line}Related APIs: ${api_spec_diff}\n" - echo_line="You must have one RD (zhiqiu (Recommend) or phlrain) approval for the api change for the opreator-related api without 'core.ops'.\n" + echo_line="APIs without core.ops: \n${api_spec_diff}\n" + echo_line="${echo_line}You must have one RD (zhiqiu (Recommend) or phlrain) approval for the api change for the opreator-related api without 'core.ops'.\n" echo_line="${echo_line}For more details, please click [https://github.com/PaddlePaddle/Paddle/wiki/paddle_api_development_manual.md]\n" check_approval 1 6888866 43953930 fi diff --git a/tools/check_file_diff_approvals.sh b/tools/check_file_diff_approvals.sh index 84254cc89bb8eef12a95189416cd29cce828f5ca..16e61d7c77a4e86fbb2cdbb9bbc1e82f29322424 100644 --- a/tools/check_file_diff_approvals.sh +++ b/tools/check_file_diff_approvals.sh @@ -286,7 +286,7 @@ fi # Get the list of PR authors with unresolved unit test issues pip install PyGithub # For getting PR related data -wget https://paddle-ci.gz.bcebos.com/blk/block.txt --no-check-certificate +wget https://sys-p0.bj.bcebos.com/blk/block.txt --no-check-certificate wget https://sys-p0.bj.bcebos.com/bk-ci/bk.txt --no-check-certificate HASUTFIXED=`python ${PADDLE_ROOT}/tools/check_ut.py | grep "has unit-test to be fixed" || true` if [ "${HASUTFIXED}" != "" ]; then diff --git a/tools/dockerfile/Dockerfile.centos b/tools/dockerfile/Dockerfile.centos index b10e76a4b4d037bfa0d72e74e660cf696f5ee1d3..a50d08354b8b4572516296546fb2cc87548b5349 100644 --- a/tools/dockerfile/Dockerfile.centos +++ b/tools/dockerfile/Dockerfile.centos @@ -80,9 +80,7 @@ RUN wget https://paddle-ci.gz.bcebos.com/ccache-3.7.9.tar.gz && \ make -j8 && make install && \ ln -s /usr/local/ccache-3.7.9/bin/ccache /usr/local/bin/ccache -# gcc4.8 TRT -RUN mkdir -p /opt/compiler && cd /opt/compiler && \ - wget -q https://paddle-ci.gz.bcebos.com/gcc-4.8.2.tar.gz && \ - tar xf gcc-4.8.2.tar.gz && rm -f gcc-4.8.2.tar.gz +# Downgrade gcc&&g++ + CMD ["bash", "/paddle/paddle/scripts/docker/build.sh"] diff --git a/tools/dockerfile/ci_dockerfile.sh b/tools/dockerfile/ci_dockerfile.sh index 3716084487e6ab8ba89cb25698e209a1e1859a8b..9c8f8f563abb73915002fe675d64440c72100d23 100644 --- a/tools/dockerfile/ci_dockerfile.sh +++ b/tools/dockerfile/ci_dockerfile.sh @@ -21,7 +21,7 @@ function make_ubuntu_dockerfile(){ function make_centos_dockerfile(){ dockerfile_name="Dockerfile.cuda9_cudnn7_gcc48_py35_centos6" - sed 's//9.0-cudnn7-devel-centos6/g' Dockerfile.centos >${dockerfile_name} + sed 's//10.2-cudnn7-devel-centos6/g' Dockerfile.centos >${dockerfile_name} sed -i 's#COPY build_scripts /build_scripts#COPY tools/dockerfile/build_scripts ./build_scripts#g' ${dockerfile_name} dockerfile_line=`wc -l ${dockerfile_name}|awk '{print $1}'` sed -i "${dockerfile_line}i RUN ln -s /usr/lib64/libz.so /usr/local/lib/libz.so && \ @@ -29,6 +29,15 @@ function make_centos_dockerfile(){ rm -rf /usr/include/NvInfer*" ${dockerfile_name} sed -i "${dockerfile_line}i RUN wget --no-check-certificate -q https://paddle-edl.bj.bcebos.com/hadoop-2.7.7.tar.gz && \ tar -xzf hadoop-2.7.7.tar.gz && mv hadoop-2.7.7 /usr/local/" ${dockerfile_name} + sed -i 's##WORKDIR /usr/bin \ + COPY tools/dockerfile/build_scripts /build_scripts \ + RUN bash /build_scripts/install_gcc.sh gcc82 \&\& rm -rf /build_scripts \ + RUN cp gcc gcc.bak \&\& cp g++ g++.bak \&\& rm gcc \&\& rm g++ \ + RUN ln -s /usr/local/gcc-8.2/bin/gcc /usr/local/bin/gcc \ + RUN ln -s /usr/local/gcc-8.2/bin/g++ /usr/local/bin/g++ \ + RUN ln -s /usr/local/gcc-8.2/bin/gcc /usr/bin/gcc \ + RUN ln -s /usr/local/gcc-8.2/bin/g++ /usr/bin/g++ \ + ENV PATH=/usr/local/gcc-8.2/bin:$PATH #g' ${dockerfile_name} } diff --git a/tools/sampcd_processor.py b/tools/sampcd_processor.py index 033b4b8723aa30465cdb07198f470d7c09a0f326..d23c18a44e936628f8a63fe9ebca86c1f61a5cd0 100644 --- a/tools/sampcd_processor.py +++ b/tools/sampcd_processor.py @@ -534,13 +534,6 @@ def get_incrementapi(): f.write('\n') -# only white on CPU -gpu_not_white = [ - "deformable_conv", "cuda_places", "CUDAPinnedPlace", "CUDAPlace", - "cuda_profiler", 'DGCMomentumOptimizer' -] - - def get_wlist(): ''' this function will get the white list of API. @@ -552,17 +545,25 @@ def get_wlist(): ''' wlist = [] wlist_file = [] + # only white on CPU + gpu_not_white = [] with open("wlist.json", 'r') as load_f: load_dict = json.load(load_f) for key in load_dict: - if key == 'wlist_file': - wlist_file = wlist_file + load_dict[key] + if key == 'wlist_dir': + for item in load_dict[key]: + wlist_file.append(item["name"]) + elif key == "gpu_not_white": + gpu_not_white = load_dict[key] + elif key == "wlist_api": + for item in load_dict[key]: + wlist.append(item["name"]) else: wlist = wlist + load_dict[key] - return wlist, wlist_file + return wlist, wlist_file, gpu_not_white -wlist, wlist_file = get_wlist() +wlist, wlist_file, gpu_not_white = get_wlist() if len(sys.argv) < 2: print("Error: inadequate number of arguments") diff --git a/tools/wlist.json b/tools/wlist.json index 5591f90da4ba807871663e56fe4e3b11bf2fbd8f..3ca14cd1dd6f964f87031e31128bfb2cb1c733a1 100644 --- a/tools/wlist.json +++ b/tools/wlist.json @@ -1,11 +1,29 @@ { - "wlist_file" : [ - "../python/paddle/fluid/contrib", - "../python/paddle/verison.py", - "../python/paddle/fluid/core_avx.py", - "../python/paddle/distributed" + "wlist_dir":[ + { + "name":"../python/paddle/fluid/contrib", + "annotation":"" + }, + { + "name":"../python/paddle/verison.py", + "annotation":"" + }, + { + "name":"../python/paddle/fluid/core_avx.py", + "annotation":"" + }, + { + "name":"../python/paddle/distributed", + "annotation":"" + } ], - "wlist_inneed":[ + "wlist_api":[ + { + "name":"xxxxx", + "annotation":"not a real api, just for example" + } + ], + "wlist_temp_api":[ "append_LARS", "BuildStrategy.debug_graphviz_path", "BuildStrategy.enable_sequential_execution", @@ -63,9 +81,7 @@ "cuda_places", "CUDAPinnedPlace", "CUDAPlace", - "Program.parse_from_string" - ], - "wlist_nosample":[ + "Program.parse_from_string", "Compressor", "Compressor.config", "Compressor.run", @@ -159,13 +175,9 @@ "RNN", "BiRNN", "RNNCellBase", - "RNNCellBase.get_initial_states" - ], - "wlist_no_op_pass":[ + "RNNCellBase.get_initial_states", "gelu", - "erf" - ], - "wlist_ci_nopass":[ + "erf", "DecodeHelper", "DecodeHelper.initialize", "DecodeHelper.sample", @@ -188,9 +200,7 @@ "SampleEmbeddingHelper", "BasicDecoder", "lstm", - "partial_sum" - ], - "wlist_nopass":[ + "partial_sum", "StateCell", "StateCell.compute_state", "TrainingDecoder", @@ -241,11 +251,10 @@ "BilinearTensorProduct", "GroupNorm", "SpectralNorm", - "TreeConv", - "prroi_pool" + "TreeConv" ], "wlist_temp":[ - "to_tensor", + "prroi_pool", "ChunkEvaluator", "EditDistance", "ErrorClipByValue", @@ -322,9 +331,7 @@ "Conv2DTranspose", "QueueDataset.local_shuffle", "save_persistables@dygraph/checkpoint.py", - "load_persistables@dygraph/checkpoint.py" - ], - "wlist_ignore":[ + "load_persistables@dygraph/checkpoint.py", "elementwise_pow", "WeightedAverage.reset", "ChunkEvaluator.eval", @@ -400,6 +407,16 @@ "TransformerDecoder.prepare_incremental_cache", "LinearChainCRF.forward", "CRFDecoding.forward", - "SequenceTagging.forward" + "SequenceTagging.forward", + "XPUPlace", + "is_compiled_with_xpu" + ], + "gpu_not_white":[ + "deformable_conv", + "cuda_places", + "CUDAPinnedPlace", + "CUDAPlace", + "cuda_profiler", + "DGCMomentumOptimizer" ] }