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PaddleDetection
提交 45088206 编写于 作者: Q qijun
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merge baidu/develop

上级 82026fe8 2e87d747
隐藏空白更改
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Showing with 1477 addition and 141 deletion
CMakeLists.txt
浏览文件 @ 45088206
......@@ -14,8 +14,8 @@
cmake_minimum_required(VERSION 3.0)
set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_CURRENT_SOURCE_DIR}/cmake")
set(PROJ_ROOT ${CMAKE_CURRENT_SOURCE_DIR})
set(PROJ_BINARY_ROOT ${CMAKE_CURRENT_BINARY_DIR})
set(PADDLE_SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR})
set(PADDLE_BINARY_DIR ${CMAKE_CURRENT_BINARY_DIR})
include(system)
......@@ -36,8 +36,8 @@ include(simd)
################################ Configurations #######################################
option(WITH_GPU "Compile PaddlePaddle with NVIDIA GPU" ${CUDA_FOUND})
option(WITH_AVX "Compile PaddlePaddle with AVX intrinsics" ${AVX_FOUND})
option(WITH_MKLDNN "Compile PaddlePaddle with mkl-dnn support." ${AVX_FOUND})
option(WITH_MKLML "Compile PaddlePaddle with mklml package." ${AVX_FOUND})
option(WITH_MKLDNN "Compile PaddlePaddle with mkl-dnn support." OFF)
option(WITH_MKLML "Compile PaddlePaddle with mklml package." OFF)
option(WITH_DSO "Compile PaddlePaddle with dynamic linked CUDA" ON)
option(WITH_TESTING "Compile PaddlePaddle with unit testing" ON)
option(WITH_SWIG_PY "Compile PaddlePaddle with inference api" ON)
......@@ -121,8 +121,8 @@ include(version) # set PADDLE_VERSION
include(coveralls) # set code coverage
include_directories("${PROJ_ROOT}")
include_directories("${PROJ_ROOT}/paddle/cuda/include")
include_directories("${PADDLE_SOURCE_DIR}")
include_directories("${PADDLE_SOURCE_DIR}/paddle/cuda/include")
include_directories("${CMAKE_CURRENT_BINARY_DIR}/proto")
include_directories("${CMAKE_CURRENT_BINARY_DIR}/go/pserver/client/c")
include_directories(${Boost_INCLUDE_DIRS})
......@@ -144,7 +144,7 @@ if(WITH_GPU)
endif(WITH_GPU)
if(WITH_MKLDNN)
list(APPEND EXTERNAL_LIBS ${MKLDNN_LIBRARY} ${MKLDNN_IOMP_LIB})
list(APPEND EXTERNAL_LIBS ${MKLDNN_LIB} ${MKLDNN_IOMP_LIB})
endif()
if(USE_NNPACK)
......@@ -164,10 +164,12 @@ if(WITH_GOLANG)
add_subdirectory(go)
endif(WITH_GOLANG)
set(PADDLE_PYTHON_BUILD_DIR "${CMAKE_CURRENT_BINARY_DIR}/python/build")
add_subdirectory(paddle)
if(WITH_PYTHON)
add_subdirectory(python)
endif()
if(WITH_DOC)
add_subdirectory(doc)
endif()
Dockerfile
浏览文件 @ 45088206
......@@ -64,7 +64,7 @@ RUN pip install --upgrade pip && \
pip install -U sphinx-rtd-theme==0.1.9 recommonmark && \
pip install pre-commit 'requests==2.9.2' 'ipython==5.3.0' && \
pip install 'ipykernel==4.6.0' 'jupyter==1.0.0' && \
pip install rarfile
pip install opencv-python rarfile 'scipy>=0.19.0' 'nltk>=3.2.2'
# To fix https://github.com/PaddlePaddle/Paddle/issues/1954, we use
# the solution in https://urllib3.readthedocs.io/en/latest/user-guide.html#ssl-py2
......
cmake/configure.cmake
浏览文件 @ 45088206
......@@ -129,7 +129,7 @@ if(WITH_GOLANG)
add_custom_command(OUTPUT ${CMAKE_BINARY_DIR}/glide
COMMAND env GOPATH=${GOPATH} ${GLIDE} install
COMMAND touch ${CMAKE_BINARY_DIR}/glide
DEPENDS ${PROJ_ROOT}/go/glide.lock
DEPENDS ${PADDLE_SOURCE_DIR}/go/glide.lock
WORKING_DIRECTORY "${PADDLE_IN_GOPATH}/go"
)
......
cmake/cpplint.cmake
浏览文件 @ 45088206
......@@ -52,7 +52,7 @@ macro(add_style_check_target TARGET_NAME)
if(SOURCES_LIST)
add_custom_command(TARGET ${TARGET_NAME} POST_BUILD
COMMAND "${PYTHON_EXECUTABLE}" "${PROJ_ROOT}/paddle/scripts/cpplint.py"
COMMAND "${PYTHON_EXECUTABLE}" "${PADDLE_SOURCE_DIR}/paddle/scripts/cpplint.py"
"--filter=${STYLE_FILTER}"
${SOURCES_LIST}
COMMENT "cpplint: Checking source code style"
......
cmake/flags.cmake
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......@@ -9,10 +9,12 @@ function(CheckCompilerCXX11Flag)
if(${CMAKE_CXX_COMPILER_VERSION} VERSION_LESS 4.8)
message(FATAL_ERROR "Unsupported GCC version. GCC >= 4.8 required.")
endif()
# TODO(qijun) gcc 4.9 or later versions raise SEGV due to the optimization problem.
# Use Debug mode instead for now.
if(CMAKE_CXX_COMPILER_VERSION VERSION_GREATER 4.9 OR CMAKE_CXX_COMPILER_VERSION VERSION_EQUAL 4.9)
set(CMAKE_BUILD_TYPE "Debug" CACHE STRING "" FORCE)
if(NOT ANDROID)
# TODO(qijun) gcc 4.9 or later versions raise SEGV due to the optimization problem.
# Use Debug mode instead for now.
if(CMAKE_CXX_COMPILER_VERSION VERSION_GREATER 4.9 OR CMAKE_CXX_COMPILER_VERSION VERSION_EQUAL 4.9)
set(CMAKE_BUILD_TYPE "Debug" CACHE STRING "" FORCE)
endif()
endif()
elseif(CMAKE_CXX_COMPILER_ID STREQUAL "AppleClang" OR CMAKE_CXX_COMPILER_ID STREQUAL "Clang")
# cmake >= 3.0 compiler id "AppleClang" on Mac OS X, otherwise "Clang"
......
cmake/generic.cmake
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......@@ -411,7 +411,7 @@ function(py_test TARGET_NAME)
set(multiValueArgs SRCS DEPS)
cmake_parse_arguments(py_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
add_test(NAME ${TARGET_NAME}
COMMAND env PYTHONPATH=${PADDLE_PYTHON_PACKAGE_DIR}
COMMAND env PYTHONPATH=${PADDLE_PYTHON_BUILD_DIR}/lib-python
python2 ${py_test_SRCS}
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR})
endif()
......
cmake/package.cmake
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......@@ -12,7 +12,7 @@ set(CPACK_PACKAGE_DESCRIPTION "")
set(CPACK_DEBIAN_PACKAGE_DEPENDS "libpython2.7-dev, libstdc++6, python-pip, curl, libgfortran3, python-pip-whl")
set(CPACK_DEBIAN_PACKAGE_SECTION Devel)
set(CPACK_DEBIAN_PACKAGE_VERSION ${PADDLE_VERSION})
set(CPACK_DEBIAN_PACKAGE_CONTROL_EXTRA "${PROJ_ROOT}/paddle/scripts/deb/postinst")
set(CPACK_DEBIAN_PACKAGE_CONTROL_EXTRA "${PADDLE_SOURCE_DIR}/paddle/scripts/deb/postinst")
#set(CPACK_GENERATOR "DEB")
# Start cpack
include (CMakePackageConfigHelpers)
......
cmake/util.cmake
浏览文件 @ 45088206
......@@ -141,8 +141,8 @@ endmacro()
function(create_resources res_file output_file)
add_custom_command(
OUTPUT ${output_file}
COMMAND python ARGS ${PROJ_ROOT}/cmake/make_resource.py ${res_file} ${output_file}
DEPENDS ${res_file} ${PROJ_ROOT}/cmake/make_resource.py)
COMMAND python ARGS ${PADDLE_SOURCE_DIR}/cmake/make_resource.py ${res_file} ${output_file}
DEPENDS ${res_file} ${PADDLE_SOURCE_DIR}/cmake/make_resource.py)
endfunction()
......
cmake/version.cmake
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......@@ -4,7 +4,7 @@ set(tmp_version "HEAD")
while ("${PADDLE_VERSION}" STREQUAL "")
execute_process(
COMMAND ${GIT_EXECUTABLE} describe --tags --abbrev=0 ${tmp_version}
WORKING_DIRECTORY ${PROJ_ROOT}
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}
OUTPUT_VARIABLE GIT_TAG_NAME
RESULT_VARIABLE GIT_RESULT
ERROR_QUIET OUTPUT_STRIP_TRAILING_WHITESPACE)
......
doc/templates/conf.py.cn.in
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......@@ -13,7 +13,7 @@
# serve to show the default.
import sys
import os, subprocess
sys.path.insert(0, os.path.abspath('@PROJ_ROOT@/python'))
sys.path.insert(0, os.path.abspath('@PADDLE_SOURCE_DIR@/python'))
import shlex
from recommonmark import parser, transform
import paddle
......@@ -24,7 +24,7 @@ AutoStructify = transform.AutoStructify
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
templates_path = ["@PROJ_ROOT@/doc_theme/templates"]
templates_path = ["@PADDLE_SOURCE_DIR@/doc_theme/templates"]
# -- General configuration ------------------------------------------------
......@@ -120,7 +120,7 @@ html_theme = 'sphinx_rtd_theme'
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['@PROJ_ROOT@/doc_theme/static']
html_static_path = ['@PADDLE_SOURCE_DIR@/doc_theme/static']
# Output file base name for HTML help builder.
htmlhelp_basename = project + 'doc'
......
doc/templates/conf.py.en.in
浏览文件 @ 45088206
......@@ -13,7 +13,7 @@
# serve to show the default.
import sys
import os, subprocess
sys.path.insert(0, os.path.abspath('@PROJ_ROOT@/python'))
sys.path.insert(0, os.path.abspath('@PADDLE_SOURCE_DIR@/python'))
import shlex
from recommonmark import parser, transform
import paddle
......@@ -25,7 +25,7 @@ AutoStructify = transform.AutoStructify
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
templates_path = ["@PROJ_ROOT@/doc_theme/templates"]
templates_path = ["@PADDLE_SOURCE_DIR@/doc_theme/templates"]
# -- General configuration ------------------------------------------------
......@@ -120,7 +120,7 @@ html_theme = 'sphinx_rtd_theme'
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['@PROJ_ROOT@/doc_theme/static']
html_static_path = ['@PADDLE_SOURCE_DIR@/doc_theme/static']
# Output file base name for HTML help builder.
htmlhelp_basename = project + 'doc'
......
paddle/api/CMakeLists.txt
浏览文件 @ 45088206
......@@ -19,9 +19,9 @@ add_library(paddle_api STATIC ${API_SOURCES})
add_dependencies(paddle_api paddle_proto paddle_trainer_lib)
INCLUDE(${SWIG_USE_FILE})
INCLUDE_DIRECTORIES(${PROJ_ROOT}/paddle)
INCLUDE_DIRECTORIES(${PADDLE_SOURCE_DIR}/paddle)
FILE(GLOB PY_PADDLE_PYTHON_FILES ${PROJ_ROOT}/paddle/py_paddle/*.py)
FILE(GLOB PY_PADDLE_PYTHON_FILES ${PADDLE_SOURCE_DIR}/paddle/py_paddle/*.py)
SET_SOURCE_FILES_PROPERTIES(Paddle.i PROPERTIES CPLUSPLUS ON)
......@@ -79,16 +79,16 @@ SWIG_LINK_LIBRARIES(swig_paddle
${START_END}
)
add_custom_command(OUTPUT ${PROJ_ROOT}/paddle/py_paddle/_swig_paddle.so
COMMAND cp ${CMAKE_CURRENT_BINARY_DIR}/swig_paddle.py ${PROJ_ROOT}/paddle/py_paddle
COMMAND cp ${CMAKE_CURRENT_BINARY_DIR}/_swig_paddle.so ${PROJ_ROOT}/paddle/py_paddle
add_custom_command(OUTPUT ${PADDLE_SOURCE_DIR}/paddle/py_paddle/_swig_paddle.so
COMMAND cp ${CMAKE_CURRENT_BINARY_DIR}/swig_paddle.py ${PADDLE_SOURCE_DIR}/paddle/py_paddle
COMMAND cp ${CMAKE_CURRENT_BINARY_DIR}/_swig_paddle.so ${PADDLE_SOURCE_DIR}/paddle/py_paddle
COMMAND ${CMAKE_COMMAND} -E touch .timestamp
WORKING_DIRECTORY ${PROJ_ROOT}/paddle
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle
DEPENDS _swig_paddle
)
# TODO(yuyang18) : make wheel name calculated by cmake
add_custom_target(python_api_wheel ALL DEPENDS ${PROJ_ROOT}/paddle/py_paddle/_swig_paddle.so)
add_custom_target(python_api_wheel ALL DEPENDS ${PADDLE_SOURCE_DIR}/paddle/py_paddle/_swig_paddle.so)
if(WITH_TESTING)
IF(NOT PY_PIP_FOUND)
......
paddle/capi/Arguments.cpp
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......@@ -90,6 +90,18 @@ paddle_error paddle_arguments_set_ids(paddle_arguments args,
return kPD_NO_ERROR;
}
paddle_error paddle_arguments_set_frame_shape(paddle_arguments args,
uint64_t ID,
uint64_t frameHeight,
uint64_t frameWidth) {
if (args == nullptr) return kPD_NULLPTR;
auto a = castArg(args);
if (ID >= a->args.size()) return kPD_OUT_OF_RANGE;
a->args[ID].setFrameHeight(frameHeight);
a->args[ID].setFrameWidth(frameWidth);
return kPD_NO_ERROR;
}
paddle_error paddle_arguments_set_sequence_start_pos(paddle_arguments args,
uint64_t ID,
uint32_t nestedLevel,
......
paddle/capi/arguments.h
浏览文件 @ 45088206
......@@ -111,6 +111,20 @@ PD_API paddle_error paddle_arguments_set_ids(paddle_arguments args,
uint64_t ID,
paddle_ivector ids);
/**
* @brief paddle_arguments_set_frame_shape Set the fram size of one argument
* in array, which index is `ID`.
* @param [in] args arguments array
* @param [in] ID array index
* @param [in] frameHeight maximum height of input images
* @param [in] frameWidth maximum width of input images
* @return paddle_error
*/
PD_API paddle_error paddle_arguments_set_frame_shape(paddle_arguments args,
uint64_t ID,
uint64_t frameHeight,
uint64_t frameWidth);
/**
* @brief PDArgsSetSequenceStartPos Set sequence start position vector of one
* argument in array, which index is `ID`.
......
paddle/capi/examples/model_inference/common/common.h
浏览文件 @ 45088206
......@@ -3,18 +3,21 @@
#include <stdio.h>
#include <stdlib.h>
#define CHECK(stmt) \
do { \
paddle_error __err__ = stmt; \
if (__err__ != kPD_NO_ERROR) { \
fprintf(stderr, "Invoke paddle error %d \n" #stmt, __err__); \
exit(__err__); \
} \
#define CHECK(stmt) \
do { \
paddle_error __err__ = stmt; \
if (__err__ != kPD_NO_ERROR) { \
fprintf(stderr, "Invoke paddle error %d in " #stmt "\n", __err__); \
exit(__err__); \
} \
} while (0)
void* read_config(const char* filename, long* size) {
FILE* file = fopen(filename, "r");
if (file == NULL) return NULL;
if (file == NULL) {
fprintf(stderr, "Open %s error\n", filename);
return NULL;
}
fseek(file, 0L, SEEK_END);
*size = ftell(file);
fseek(file, 0L, SEEK_SET);
......
paddle/capi/gradient_machine.cpp
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......@@ -54,6 +54,31 @@ paddle_error paddle_gradient_machine_create_for_inference(
return kPD_NO_ERROR;
}
paddle_error paddle_gradient_machine_create_for_inference_with_parameters(
paddle_gradient_machine* machine, void* mergedModel, uint64_t size) {
if (mergedModel == nullptr) return kPD_NULLPTR;
std::istringstream is(std::string(static_cast<char*>(mergedModel), size));
int64_t modelConfigSize = 0;
is.read((char*)(&modelConfigSize), sizeof(modelConfigSize));
std::string modelConfigProtobuf;
modelConfigProtobuf.resize(modelConfigSize);
is.read(&modelConfigProtobuf[0], modelConfigSize);
paddle::TrainerConfig config;
if (!config.ParseFromString(modelConfigProtobuf) || !config.IsInitialized()) {
return kPD_PROTOBUF_ERROR;
}
auto ptr = new paddle::capi::CGradientMachine();
ptr->machine.reset(paddle::GradientMachine::create(
config.model_config(), CREATE_MODE_TESTING, {paddle::PARAMETER_VALUE}));
std::vector<paddle::ParameterPtr>& parameters = ptr->machine->getParameters();
for (auto& para : parameters) {
para->load(is);
}
*machine = ptr;
return kPD_NO_ERROR;
}
paddle_error paddle_gradient_machine_destroy(paddle_gradient_machine machine) {
delete cast(machine);
return kPD_NO_ERROR;
......
paddle/capi/gradient_machine.h
浏览文件 @ 45088206
......@@ -36,6 +36,18 @@ typedef void* paddle_gradient_machine;
PD_API paddle_error paddle_gradient_machine_create_for_inference(
paddle_gradient_machine* machine, void* modelConfigProtobuf, int size);
/**
* @brief Create a gradient machine used for model inference, using config with
* parameters which is generated by `paddle merge_model`.
* @param [out] machine that used for model inference.
* @param [in] mergedModel
* @param [in] size
* @return paddle_error
*/
PD_API paddle_error
paddle_gradient_machine_create_for_inference_with_parameters(
paddle_gradient_machine* machine, void* mergedModel, uint64_t size);
/**
* @brief Load parameter from disk.
* @param machine Gradient Machine.
......
paddle/capi/tests/CMakeLists.txt
浏览文件 @ 45088206
......@@ -10,5 +10,5 @@ target_include_directories(capi_test_gradientMachine PUBLIC
${PADDLE_CAPI_INC_PATH})
target_link_libraries(capi_test_gradientMachine paddle_capi)
add_test(NAME capi_test_gradientMachine
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python ${CMAKE_CURRENT_BINARY_DIR}/capi_test_gradientMachine
WORKING_DIRECTORY ${PROJ_ROOT}/paddle/capi/tests)
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python ${CMAKE_CURRENT_BINARY_DIR}/capi_test_gradientMachine
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle/capi/tests)
paddle/framework/CMakeLists.txt
浏览文件 @ 45088206
......@@ -35,6 +35,11 @@ py_proto_compile(framework_py_proto SRCS attribute.proto op_proto.proto op_desc.
# Generate an empty __init__.py to make framework_py_proto as a valid python module.
add_custom_target(framework_py_proto_init ALL COMMAND ${CMAKE_COMMAND} -E touch __init__.py)
add_dependencies(framework_py_proto framework_py_proto_init)
add_custom_command(TARGET framework_py_proto POST_BUILD
COMMAND ${CMAKE_COMMAND} -E make_directory ${PROJ_ROOT}/python/paddle/v2/framework/proto
COMMAND cp *.py ${PROJ_ROOT}/python/paddle/v2/framework/proto/
COMMENT "Copy generated python proto into directory paddle/v2/framework/proto."
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR})
cc_library(backward SRCS backward.cc DEPS net_op)
cc_test(backward_test SRCS backward_test.cc DEPS backward)
......
paddle/framework/attribute.h
浏览文件 @ 45088206
......@@ -14,7 +14,6 @@ limitations under the License. */
#pragma once
#include <boost/variant.hpp>
#include <functional>
#include <string>
#include <unordered_map>
......@@ -24,6 +23,7 @@ limitations under the License. */
#include "paddle/framework/attribute.pb.h"
#include "paddle/framework/op_desc.pb.h"
#include "paddle/platform/enforce.h"
#include "paddle/platform/variant.h"
namespace paddle {
namespace framework {
......
paddle/framework/ddim.h
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......@@ -14,12 +14,12 @@ limitations under the License. */
#pragma once
#include <boost/variant.hpp>
#include <initializer_list>
#include <stdexcept>
#include <vector>
#include "paddle/framework/dim.h"
#include "paddle/platform/enforce.h"
#include "paddle/platform/variant.h"
namespace paddle {
namespace framework {
......
paddle/framework/operator.h
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......@@ -15,7 +15,6 @@ limitations under the License. */
#pragma once
#include <algorithm>
#include <boost/variant.hpp>
#include <string>
#include <unordered_map>
#include <vector>
......@@ -27,6 +26,7 @@ limitations under the License. */
#include "paddle/framework/tensor.h"
#include "paddle/platform/device_context.h"
#include "paddle/platform/place.h"
#include "paddle/platform/variant.h"
#include "paddle/utils/Error.h"
namespace paddle {
......
paddle/framework/tensor.h
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......@@ -79,11 +79,11 @@ class Tensor {
inline const DDim& dims() const;
/*! Resize the dimensions of the memory block. */
inline void Resize(const DDim& dims);
inline Tensor& Resize(const DDim& dims);
/*! The internal of two tensors share the same memory block. */
template <typename T>
inline void ShareDataWith(const Tensor& src);
inline Tensor& ShareDataWith(const Tensor& src);
/**
* @brief Copy the content of external tensor to a new place.
......
paddle/framework/tensor_impl.h
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......@@ -23,9 +23,11 @@ template <typename T>
inline void Tensor::check_memory_size() const {
PADDLE_ENFORCE_NOT_NULL(
holder_, "Tenosr holds no memory. Call Tensor::mutable_data first.");
PADDLE_ENFORCE_GE(holder_->size(), product(dims_) * sizeof(T) + offset_,
"Tensor's dims_ is out of bound. Call Tensor::mutable_data "
"first to re-allocate memory.");
PADDLE_ENFORCE_GE(
holder_->size(), product(dims_) * sizeof(T) + offset_,
"Tensor's dims_ is out of bound. Call Tensor::mutable_data "
"first to re-allocate memory.\n"
"or maybe the required data-type mismatches the data already stored.");
}
template <typename T>
......@@ -78,9 +80,10 @@ inline T* Tensor::mutable_data(platform::Place place) {
}
template <typename T>
inline void Tensor::ShareDataWith(const Tensor& src) {
inline Tensor& Tensor::ShareDataWith(const Tensor& src) {
src.check_memory_size<T>();
*this = src;
return *this;
}
template <typename T>
......@@ -136,7 +139,10 @@ inline Tensor Tensor::Slice(const int& begin_idx, const int& end_idx) const {
return dst;
}
inline void Tensor::Resize(const DDim& dims) { dims_ = dims; }
inline Tensor& Tensor::Resize(const DDim& dims) {
dims_ = dims;
return *this;
}
inline const DDim& Tensor::dims() const { return dims_; }
......
paddle/gserver/CMakeLists.txt
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......@@ -23,6 +23,17 @@ endmacro()
filter_test(GSERVER_HEADER)
filter_test(GSERVER_SOURCES)
if(NOT WITH_MKLDNN)
file(GLOB_RECURSE DNN_HEADER RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "MKLDNN*.h")
file(GLOB_RECURSE DNN_SOURCES RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "MKLDNN*.cpp")
list(REMOVE_ITEM GSERVER_HEADER ${DNN_HEADER})
list(REMOVE_ITEM GSERVER_SOURCES ${DNN_SOURCES})
message(STATUS "Skip compiling with MKLDNNLayers and MKLDNNActivations")
else()
message(STATUS "Compile with MKLDNNLayers and MKLDNNActivations")
endif()
if(NOT WITH_GPU)
list(REMOVE_ITEM GSERVER_HEADER
layers/CudnnConvBaseLayer.h
......
paddle/gserver/layers/MKLDNNBase.h 0 → 100644
浏览文件 @ 45088206
/* Copyright (c) 2017 PaddlePaddle Authors. All Rights Reserve.
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
#include "mkldnn.hpp"
namespace paddle {
typedef enum {
MKLDNN_BASE = 1, // basical info of MKLDNN
MKLDNN_TESTS = 1, // gtest info of MKLDNN
MKLDNN_SIZES = 2, // size info of MKLDNN
MKLDNN_FMTS = 3, // format info of MKLDNN
MKLDNN_ALL = 4, // show all info of MKLDNN
} MKLDNN_LOG_LEVEL;
/**
* @brief MKLDNN CPU engine.
*
*/
class CPUEngine {
public:
static CPUEngine& Instance() {
// Thread-safe in C++11.
static CPUEngine myInstance;
return myInstance;
}
// Disallow copy or move
CPUEngine(const CPUEngine&) = delete; // Copy constructor
CPUEngine(CPUEngine&&) = delete; // Move constructor
CPUEngine& operator=(const CPUEngine&) = delete; // Copy assignment
CPUEngine& operator=(CPUEngine&&) = delete; // Move assignment
mkldnn::engine& getEngine() { return cpuEngine_; }
protected:
CPUEngine() : cpuEngine_(mkldnn::engine::cpu, 0) {}
// CPUEngine() : cpuEngine_(mkldnn::engine::cpu_lazy, 0) {}
~CPUEngine() {}
private:
mkldnn::engine cpuEngine_;
};
/**
* @brief MKLDNN Stream.
*
*/
class MKLDNNStream {
public:
MKLDNNStream() : ready_(false) { resetState(); }
virtual ~MKLDNNStream() {}
/**
* @brief Submit stream
* @param prims The primitives vector
* @param block Waiting for the stream to complete
*/
void submit(std::vector<mkldnn::primitive>& prims, bool block = true) {
resetState();
stream_->submit(prims).wait(block);
ready_ = false;
}
/**
* @brief Reset the mkldnn stream
*/
void resetState() {
if (ready_) {
return;
}
// TODO(TJ): change me when mkldnn have method to reset this state
// stream_.reset(new mkldnn::stream(mkldnn::stream::kind::lazy));
stream_.reset(new mkldnn::stream(mkldnn::stream::kind::eager));
ready_ = true;
}
private:
bool ready_;
std::shared_ptr<mkldnn::stream> stream_;
};
} // namespace paddle
paddle/gserver/layers/MKLDNNFcLayer.cpp 0 → 100644
浏览文件 @ 45088206
/* Copyright (c) 2017 PaddlePaddle Authors. All Rights Reserve.
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 "MKLDNNFcLayer.h"
#include "paddle/utils/Logging.h"
#include "paddle/utils/Stat.h"
using namespace mkldnn; // NOLINT
typedef memory::format format;
typedef inner_product_forward fc_fwd;
typedef inner_product_backward_weights fc_bwdWgt;
typedef inner_product_backward_data fc_bwdData;
namespace paddle {
REGISTER_LAYER(mkldnn_fc, MKLDNNFcLayer);
bool MKLDNNFcLayer::init(const LayerMap& layerMap,
const ParameterMap& parameterMap) {
if (!MKLDNNLayer::init(layerMap, parameterMap)) {
return false;
}
CHECK_EQ(inputLayers_.size(), 1) << "Only support one input layer yet";
CHECK_EQ(inputLayers_.size(), parameters_.size());
CHECK(!parameters_[0]->isSparse()) << "Do not support sparse yet";
// output size, cat not be changed
oc_ = getSize();
oh_ = 1;
ow_ = 1;
// input size can not change in FC
iLayerSize_ = inputLayers_[0]->getSize();
CHECK_EQ(parameters_[0]->getSize(), iLayerSize_ * oc_);
// create weight
weight_ =
std::unique_ptr<Weight>(new Weight(oc_, iLayerSize_, parameters_[0], 0));
// create biases
if (biasParameter_.get() != NULL) {
biases_ = std::unique_ptr<Weight>(new Weight(1, oc_, biasParameter_));
}
return true;
}
void MKLDNNFcLayer::convertWeightsFromPaddle() {
if (FLAGS_use_mkldnn_wgt) {
return;
}
if (hasInitedWgt_) {
return;
}
// The weight_ is transposed from initial paddle weight
MatrixPtr paddleWgt = Matrix::create(
weight_->getW()->getData(), iLayerSize_, oc_, false, false);
// TODO(TJ): remove this print when do not need differ weights
std::ostringstream ostr;
paddleWgt->print(ostr);
VLOG(MKLDNN_ALL) << "Initial Weight from paddle: " << std::endl << ostr.str();
// The mkldnn weight is transposed from initial paddle matrix
MatrixPtr paddleWgtT;
paddleWgt->transpose(paddleWgtT, true);
weight_->getW()->copyFrom(*paddleWgtT);
hasInitedWgt_ = true;
}
void MKLDNNFcLayer::convertWeightsToPaddle() {
MatrixPtr dnnWgt = weight_->getW();
MatrixPtr paddleWgt;
dnnWgt->transpose(paddleWgt, true);
// copy paddle weight and override on weight_
MatrixPtr dnnWgtT = Matrix::create(
dnnWgt->getData(), dnnWgt->getWidth(), dnnWgt->getHeight(), false, false);
dnnWgtT->copyFrom(*paddleWgt);
}
void MKLDNNFcLayer::reshape() {
const Argument& input = getInput(0);
int batchSize = input.getBatchSize();
if (bs_ == batchSize) {
return;
}
bs_ = batchSize;
ih_ = input.getFrameHeight();
iw_ = input.getFrameWidth();
if (ih_ == 0) {
ih_ = 1;
}
if (iw_ == 0) {
iw_ = 1;
}
hasSpatial_ = true;
if (ih_ == 1 && iw_ == 1) {
hasSpatial_ = false;
}
CHECK_EQ(iLayerSize_, inputLayers_[0]->getSize());
ic_ = iLayerSize_ / (ih_ * iw_);
CHECK_EQ(size_t(ic_ * ih_ * iw_), iLayerSize_) << "not divisible";
CHECK_EQ(size_t(oc_), getSize());
printSizeInfo();
// reset output
output_.setFrameHeight(oh_);
output_.setFrameWidth(ow_);
resetOutput(bs_, oc_);
// reset mkldnn forward
resetFwd();
needResetBwd_ = true;
convertWeightsFromPaddle();
}
void MKLDNNFcLayer::resetFwd() {
bool hasBias = biases_ && biases_->getW();
real* iData = getInputValue(0)->getData();
real* oData = getOutputValue()->getData();
real* wData = weight_->getW()->getData();
real* bData = hasBias ? biases_->getW()->getData() : NULL;
// TODO(TJ): below create should be covered in MkldnnMatrix
// create memory desc
memory::desc iMD = hasSpatial_ ? createMD({bs_, ic_, ih_, iw_}, format::nchw)
: createMD({bs_, ic_}, format::nc);
memory::desc wMD = hasSpatial_ ? createMD({oc_, ic_, ih_, iw_}, format::oihw)
: createMD({oc_, ic_}, format::oi);
memory::desc bMD = bData != NULL ? createMD({oc_}, format::x)
: createMD({}, format::format_undef);
memory::desc oMD = createMD({bs_, oc_}, format::nc);
// create memory primitive desc and memory self
inVal_.reset(new memory(memory::primitive_desc(iMD, engine_), iData));
wgtVal_.reset(new memory(memory::primitive_desc(wMD, engine_), wData));
outVal_.reset(new memory(memory::primitive_desc(oMD, engine_), oData));
prop_kind pk = prop_kind::forward;
fc_fwd::desc fwdDesc = bData != NULL ? fc_fwd::desc(pk, iMD, wMD, bMD, oMD)
: fc_fwd::desc(pk, iMD, wMD, oMD);
fc_fwd::primitive_desc fwdPD = fc_fwd::primitive_desc(fwdDesc, engine_);
if (bData != NULL) {
biasVal_.reset(new memory(memory::primitive_desc(bMD, engine_), bData));
fwd_.reset(new fc_fwd(fwdPD, *inVal_, *wgtVal_, *biasVal_, *outVal_));
} else {
fwd_.reset(new fc_fwd(fwdPD, *inVal_, *wgtVal_, *outVal_));
}
pipelineFwd_.clear();
pipelineFwd_.push_back(*fwd_);
}
void MKLDNNFcLayer::resetBwd() {
if (!needResetBwd_) {
return;
}
needResetBwd_ = false;
bool hasBias = biases_ && biases_->getWGrad();
real* iData = getInputValue(0)->getData();
real* iDiff = getInputGrad(0) != nullptr ? getInputGrad(0)->getData() : NULL;
real* oDiff = getOutputGrad()->getData();
real* wDiff = weight_->getWGrad()->getData();
real* bDiff = hasBias ? biases_->getWGrad()->getData() : NULL;
/// backward weight
// create memory desc for backward memory
memory::desc iMD = hasSpatial_ ? createMD({bs_, ic_, ih_, iw_}, format::nchw)
: createMD({bs_, ic_}, format::nc);
memory::desc wMD = hasSpatial_ ? createMD({oc_, ic_, ih_, iw_}, format::oihw)
: createMD({oc_, ic_}, format::oi);
memory::desc oMD = createMD({bs_, oc_}, format::nc);
memory::desc bMD = bDiff != NULL ? createMD({oc_}, format::x)
: createMD({}, format::format_undef);
if (inVal_) {
// update data
inVal_->set_data_handle(iData);
} else {
inVal_.reset(new memory(memory::primitive_desc(iMD, engine_), iData));
}
// create memory primitive desc and memory self
wgtGrad_.reset(new memory(memory::primitive_desc(wMD, engine_), wDiff));
outGrad_.reset(new memory(memory::primitive_desc(oMD, engine_), oDiff));
fc_fwd::desc fwdDesc = fc_fwd::desc(prop_kind::forward, iMD, wMD, oMD);
fc_fwd::primitive_desc fwdPD = fc_fwd::primitive_desc(fwdDesc, engine_);
fc_bwdWgt::desc bwdWgtDesc = bDiff != NULL
? fc_bwdWgt::desc(iMD, wMD, bMD, oMD)
: fc_bwdWgt::desc(iMD, wMD, oMD);
fc_bwdWgt::primitive_desc bwdWgtPD =
fc_bwdWgt::primitive_desc(bwdWgtDesc, engine_, fwdPD);
if (bDiff != NULL) {
biasGrad_.reset(new memory(memory::primitive_desc(bMD, engine_), bDiff));
bwdWgt_.reset(
new fc_bwdWgt(bwdWgtPD, *inVal_, *outGrad_, *wgtGrad_, *biasGrad_));
} else {
bwdWgt_.reset(new fc_bwdWgt(bwdWgtPD, *inVal_, *outGrad_, *wgtGrad_));
}
pipelineBwd_.clear();
pipelineBwd_.push_back(*bwdWgt_);
/// backward data
if (iDiff == NULL) {
return;
}
fc_bwdData::desc bwdDataDesc = fc_bwdData::desc(iMD, wMD, oMD);
fc_bwdData::primitive_desc bwdDataPD =
fc_bwdData::primitive_desc(bwdDataDesc, engine_, fwdPD);
inGrad_.reset(new memory(memory::primitive_desc(iMD, engine_), iDiff));
CHECK(wgtVal_) << "Should have weight memory";
bwdData_.reset(new fc_bwdData(bwdDataPD, *outGrad_, *wgtVal_, *inGrad_));
pipelineBwd_.push_back(*bwdData_);
}
void MKLDNNFcLayer::forward(PassType passType) {
Layer::forward(passType);
reshape();
{
REGISTER_TIMER_INFO("mkldnn_FwdTimer", getName().c_str());
// update input data
// since it might be changed if this is after data layer
real* iData = getInputValue(0)->getData();
inVal_->set_data_handle(iData);
// just submit forward pipeline
stream_->submit(pipelineFwd_);
}
/* activation */ {
REGISTER_TIMER_INFO("FwActTimer", getName().c_str());
forwardActivation();
}
}
void MKLDNNFcLayer::backward(const UpdateCallback& callback) {
/* Do derivation */ {
REGISTER_TIMER_INFO("BpActTimer", getName().c_str());
backwardActivation();
}
{
REGISTER_TIMER_INFO("mkldnn_bwdTimer", getName().c_str());
resetBwd();
// update diff
real* oDiff = getOutputGrad()->getData();
outGrad_->set_data_handle(oDiff);
// just sumbmit backward pipeline
stream_->submit(pipelineBwd_);
}
{
REGISTER_TIMER_INFO("WeightUpdate", getName().c_str());
weight_->getParameterPtr()->incUpdate(callback);
if (biases_ && biases_->getWGrad()) {
biases_->getParameterPtr()->incUpdate(callback);
}
}
}
} // namespace paddle
paddle/gserver/layers/MKLDNNFcLayer.h 0 → 100644
浏览文件 @ 45088206
/* Copyright (c) 2017 PaddlePaddle Authors. All Rights Reserve.
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
#include "MKLDNNLayer.h"
#include "mkldnn.hpp"
namespace paddle {
/**
* @brief A subclass of MKLDNNLayer fc layer.
*
* The config file api is mkldnn_fc
*/
class MKLDNNFcLayer : public MKLDNNLayer {
protected:
// input layer size, can not be change after init
size_t iLayerSize_; // == ic * ih * iw
// if has already init the weight
bool hasInitedWgt_;
// if input layer has image size info (ih>1 && iw>1)
bool hasSpatial_;
// fc weight and bias
std::unique_ptr<Weight> weight_;
std::unique_ptr<Weight> biases_;
public:
explicit MKLDNNFcLayer(const LayerConfig& config)
: MKLDNNLayer(config), hasInitedWgt_(false), hasSpatial_(true) {}
~MKLDNNFcLayer() {}
bool init(const LayerMap& layerMap,
const ParameterMap& parameterMap) override;
void convertWeightsFromPaddle() override;
void convertWeightsToPaddle() override;
void forward(PassType passType) override;
void backward(const UpdateCallback& callback) override;
protected:
/**
* reshape the input image sizes
* and reset output buffer size
* and reset mkldnn forward
*/
void reshape();
/**
* reset the forward primitve and memory
* only would be called when input size changes
*/
void resetFwd();
/**
* reset the backward primitve and memory for mkldnn fc
* only would be called when needed
*/
void resetBwd();
};
} // namespace paddle
paddle/gserver/layers/MKLDNNLayer.h 0 → 100644
浏览文件 @ 45088206
/* Copyright (c) 2017 PaddlePaddle Authors. All Rights Reserve.
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
#include <vector>
#include "Layer.h"
#include "MKLDNNBase.h"
#include "mkldnn.hpp"
DECLARE_bool(use_mkldnn);
DECLARE_bool(use_mkldnn_wgt);
namespace paddle {
class MKLDNNLayer;
typedef std::shared_ptr<MKLDNNLayer> MKLDNNLayerPtr;
/**
* @brief Base class of MKLDNNlayer.
*
*/
class MKLDNNLayer : public Layer {
protected:
// batch size
int bs_;
// input image channel, height and width
int ic_, ih_, iw_;
// output image channel, height and width
int oc_, oh_, ow_;
// backward also need reset after reset forward handle
bool needResetBwd_;
// mkldnn engine, stream and primivtives
mkldnn::engine engine_;
std::shared_ptr<MKLDNNStream> stream_;
std::shared_ptr<mkldnn::primitive> fwd_;
std::shared_ptr<mkldnn::primitive> bwdWgt_;
std::shared_ptr<mkldnn::primitive> bwdData_;
std::vector<mkldnn::primitive> pipelineFwd_;
std::vector<mkldnn::primitive> pipelineBwd_;
// TODO(TJ): change below memory as MKLDNNMatrixPtr type
std::shared_ptr<mkldnn::memory> inVal_;
std::shared_ptr<mkldnn::memory> inGrad_;
std::shared_ptr<mkldnn::memory> outVal_;
std::shared_ptr<mkldnn::memory> outGrad_;
std::shared_ptr<mkldnn::memory> wgtVal_;
std::shared_ptr<mkldnn::memory> wgtGrad_;
std::shared_ptr<mkldnn::memory> biasVal_;
std::shared_ptr<mkldnn::memory> biasGrad_;
public:
explicit MKLDNNLayer(const LayerConfig& config)
: Layer(config),
bs_(0),
ic_(0),
ih_(0),
iw_(0),
oc_(0),
oh_(0),
ow_(0),
needResetBwd_(true),
engine_(mkldnn::engine::cpu, 0),
stream_(nullptr),
fwd_(nullptr),
bwdWgt_(nullptr),
bwdData_(nullptr) {}
~MKLDNNLayer() {}
virtual bool init(const LayerMap& layerMap,
const ParameterMap& parameterMap) {
if (!Layer::init(layerMap, parameterMap)) {
return false;
}
CHECK(FLAGS_use_mkldnn) << "MkldnnLayers only support use_mkldnn."
<< "Please set WITH_MKLDNN=ON "
<< "and set use_mkldnn=True";
stream_.reset(new MKLDNNStream());
engine_ = CPUEngine::Instance().getEngine();
// TODO(TJ): deivecId
return true;
}
/**
* convert weight from paddle format to mkldnn format
* weight_ will be override
*/
virtual void convertWeightsFromPaddle() {}
/**
* convert mkldnn weight to paddle format
* weight_ will be override
*/
virtual void convertWeightsToPaddle() {}
/**
* print info about sizes
*/
virtual void printSizeInfo() {
VLOG(MKLDNN_SIZES) << getName() << ": bs: " << bs_ << ", ic: " << ic_
<< ", ih: " << ih_ << ", iw: " << iw_ << ", oc: " << oc_
<< ", oh: " << oh_ << ", ow: " << ow_;
}
// TODO(TJ): move to MkldnnMatrix
// create memory desc
inline mkldnn::memory::desc createMD(
mkldnn::memory::dims dims,
mkldnn::memory::format fmt,
mkldnn::memory::data_type type = mkldnn::memory::data_type::f32) {
// TODO(TJ): isFmtSuppoted(fmt)
return mkldnn::memory::desc(dims, type, fmt);
}
};
} // namespace paddle
paddle/gserver/tests/CMakeLists.txt
浏览文件 @ 45088206
......@@ -9,7 +9,7 @@ add_unittest_without_exec(test_ProtoDataProvider
# mkdir will get error.
add_test(NAME test_ProtoDataProvider
COMMAND ${CMAKE_CURRENT_BINARY_DIR}/test_ProtoDataProvider
WORKING_DIRECTORY ${PROJ_ROOT}/paddle)
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle)
################# test_LayerGrad #######################
add_unittest_without_exec(test_LayerGrad
......@@ -18,6 +18,15 @@ add_unittest_without_exec(test_LayerGrad
add_test(NAME test_LayerGrad
COMMAND test_LayerGrad)
########## test_Mkldnn layers and activations ##########
if(WITH_MKLDNN)
add_unittest_without_exec(test_MKLDNN
test_MKLDNN.cpp
MKLDNNTester.cpp
LayerGradUtil.cpp)
add_test(NAME test_MKLDNN COMMAND test_MKLDNN)
endif()
################ test_CRFLayerGrad ####################
add_unittest_without_exec(test_CRFLayerGrad
test_CRFLayerGrad.cpp
......@@ -92,8 +101,8 @@ if(WITH_PYTHON)
test_PyDataProvider.cpp)
add_test(NAME test_PyDataProvider
COMMAND .set_python_path.sh -d ./gserver/tests:${PROJ_ROOT}/python/ ${CMAKE_CURRENT_BINARY_DIR}/test_PyDataProvider
WORKING_DIRECTORY ${PROJ_ROOT}/paddle)
COMMAND .set_python_path.sh -d ./gserver/tests:${PADDLE_SOURCE_DIR}/python/ ${CMAKE_CURRENT_BINARY_DIR}/test_PyDataProvider
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle)
endif()
############### test_RecurrentLayer #######################
......@@ -106,7 +115,7 @@ if(NOT WITH_DOUBLE)
add_test(NAME test_WarpCTCLayer
COMMAND ${CMAKE_CURRENT_BINARY_DIR}/test_WarpCTCLayer --warpctc_dir=${WARPCTC_LIB_DIR}
WORKING_DIRECTORY ${PROJ_ROOT}/paddle)
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle)
endif()
############### test_RecurrentGradientMachine ###############
......@@ -116,20 +125,20 @@ add_unittest_without_exec(test_RecurrentGradientMachine
test_RecurrentGradientMachine.cpp)
add_test(NAME test_RecurrentGradientMachine
COMMAND .set_python_path.sh -d
${PROJ_ROOT}/python:${PROJ_ROOT}/paddle/gserver/tests
${PADDLE_SOURCE_DIR}/python:${PADDLE_SOURCE_DIR}/paddle/gserver/tests
${CMAKE_CURRENT_BINARY_DIR}/test_RecurrentGradientMachine
WORKING_DIRECTORY ${PROJ_ROOT}/paddle)
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle)
add_unittest_without_exec(test_NetworkCompare
test_NetworkCompare.cpp)
if(WITH_GPU)
add_test(NAME test_NetworkCompare
COMMAND .set_python_path.sh -d ${PROJ_ROOT}/python ${CMAKE_CURRENT_BINARY_DIR}/test_NetworkCompare --use_gpu=true
WORKING_DIRECTORY ${PROJ_ROOT}/paddle)
COMMAND .set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python ${CMAKE_CURRENT_BINARY_DIR}/test_NetworkCompare --use_gpu=true
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle)
else()
add_test(NAME test_NetworkCompare
COMMAND .set_python_path.sh -d ${PROJ_ROOT}/python ${CMAKE_CURRENT_BINARY_DIR}/test_NetworkCompare --use_gpu=false
WORKING_DIRECTORY ${PROJ_ROOT}/paddle)
COMMAND .set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python ${CMAKE_CURRENT_BINARY_DIR}/test_NetworkCompare --use_gpu=false
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle)
endif()
......@@ -137,6 +146,6 @@ add_unittest_without_exec(test_PyDataProvider2
test_PyDataProvider2.cpp)
add_test(NAME test_PyDataProvider2
COMMAND .set_python_path.sh -d ${PROJ_ROOT}/paddle/gserver/tests:${PROJ_ROOT}/python ${CMAKE_CURRENT_BINARY_DIR}/test_PyDataProvider2
WORKING_DIRECTORY ${PROJ_ROOT}/paddle
COMMAND .set_python_path.sh -d ${PADDLE_SOURCE_DIR}/paddle/gserver/tests:${PADDLE_SOURCE_DIR}/python ${CMAKE_CURRENT_BINARY_DIR}/test_PyDataProvider2
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle
)
paddle/gserver/tests/MKLDNNTester.cpp 0 → 100644
浏览文件 @ 45088206
/* Copyright (c) 2017 PaddlePaddle Authors. All Rights Reserve.
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 "MKLDNNTester.h"
#include "paddle/gserver/layers/MKLDNNBase.h"
#include "paddle/gserver/layers/MKLDNNLayer.h"
namespace paddle {
// init data layer and test layer of both dnn and reference
void MKLDNNTester::reset(const TestConfig& dnn,
const TestConfig& ref,
size_t batchSize) {
const bool trans = false;
const bool useGpu = false;
// clear
configs_.clear();
layerNames_.clear();
dataLayers_.clear();
datas_.clear();
layerMaps_.clear();
parameters_.clear();
testLayers_.clear();
// resize
configs_.resize(NUM);
layerNames_.resize(NUM);
dataLayers_.resize(NUM);
datas_.resize(NUM);
layerMaps_.resize(NUM);
parameters_.resize(NUM);
testLayers_.resize(NUM);
// reset configs and layer names
configs_[DNN] = dnn;
configs_[REF] = ref;
layerNames_[DNN] = "mkldnn"; // the first is mkldnn layer
layerNames_[REF] = "reference"; // second is reference layer
// reset others
for (size_t i = 0; i < NUM; ++i) {
configs_[i].layerConfig.set_name(layerNames_[i]);
initDataLayer(configs_[i],
&(dataLayers_[i]),
&(datas_[i]),
&(layerMaps_[i]),
layerNames_[i],
batchSize,
trans,
useGpu);
initTestLayer(
configs_[i], &(layerMaps_[i]), &(parameters_[i]), &(testLayers_[i]));
}
dnnLayer_ = testLayers_[DNN];
refLayer_ = testLayers_[REF];
EXPECT_EQ(dataLayers_[DNN].size(), dataLayers_[REF].size());
EXPECT_EQ(parameters_[DNN].size(), parameters_[REF].size());
setInputImgSize();
}
void MKLDNNTester::setInputImgSize() {
for (size_t n = 0; n < dataLayers_.size(); ++n) {
for (size_t i = 0; i < dataLayers_[n].size(); ++i) {
// TODO(TJ): fix me when concat and elewise ready
dataLayers_[n][i]->getOutput().setFrameHeight(ih_);
dataLayers_[n][i]->getOutput().setFrameWidth(iw_);
}
}
}
// init randome parameters of ref, and copy to mkldnn
void MKLDNNTester::randomWgtDatas() {
EXPECT_EQ(parameters_[DNN].size(), parameters_[REF].size());
for (size_t i = 0; i < parameters_[REF].size(); ++i) {
const VectorPtr& dnnValue = parameters_[DNN][i]->getBuf(PARAMETER_VALUE);
const VectorPtr& refValue = parameters_[REF][i]->getBuf(PARAMETER_VALUE);
parameters_[REF][i]->randomize();
dnnValue->copyFrom(*refValue);
VLOG(lvl_) << "Random weight data " << parameters_[DNN][i]->getName();
printVector(dnnValue);
}
}
// random botdata of ref layer and copy same to mkldnn
void MKLDNNTester::randomBotDatas() {
CHECK_EQ(dataLayers_.size(), NUM);
for (size_t i = 0; i < dataLayers_[DNN].size(); ++i) {
dataLayers_[REF][i]->getOutputValue()->randomizeUniform();
dataLayers_[DNN][i]->getOutputValue()->copyFrom(
*(dataLayers_[REF][i]->getOutputValue()));
VLOG(lvl_) << "Input " << i << " data:";
printMatrix(dataLayers_[REF][i]->getOutputValue());
}
}
void MKLDNNTester::randomTopDiffs() {
refLayer_->getOutputGrad()->randomizeUniform();
dnnLayer_->getOutputGrad()->copyFrom(*(refLayer_->getOutputGrad()));
VLOG(lvl_) << "Random dom Backward Input, TopDiff: ";
printMatrix(refLayer_->getOutputGrad());
}
void MKLDNNTester::checkForward() {
printTopDatas();
double delta = compareMatrix(testLayers_[DNN]->getOutputValue(),
testLayers_[REF]->getOutputValue());
VLOG(MKLDNN_ALL) << "Check Forward";
EXPECT_LE(fabs(delta), eps_);
}
void MKLDNNTester::checkBackwardData() {
// TODO(TJ): uncomment me when batch norm ready
// const bool isBN = dnnLayer_->getType() == "mkldnn_batch_norm";
for (size_t i = 0; i < dataLayers_[DNN].size(); ++i) {
const MatrixPtr& dnnDiff = dataLayers_[DNN][i]->getOutputGrad();
const MatrixPtr& refDiff = dataLayers_[REF][i]->getOutputGrad();
VLOG(lvl_) << "Mkldnn Backward Output BotDiff " << i;
printMatrix(dnnDiff);
VLOG(lvl_) << "Reference Backward Output BotDiff " << i;
printMatrix(refDiff);
double delta = compareMatrix(dnnDiff, refDiff);
EXPECT_LE(fabs(delta), eps_);
// TODO(TJ): uncomment me when batch norm ready
// if (isBN) {
// // the other two inputs in batch norm are for moving mean and var
// break;
// }
}
}
void MKLDNNTester::checkBackwardWgts() {
CHECK_EQ(parameters_[DNN].size(), parameters_[REF].size());
vector<VectorPtr> dnnWgts; // used to temply save mkldnn weights
saveWgt(parameters_[DNN], dnnWgts);
const MKLDNNLayerPtr dnnlayer =
std::dynamic_pointer_cast<MKLDNNLayer>(dnnLayer_);
CHECK(dnnlayer);
dnnlayer->convertWeightsToPaddle();
for (size_t i = 0; i < parameters_[DNN].size(); ++i) {
const VectorPtr& dnn = parameters_[DNN][i]->getBuf(PARAMETER_VALUE);
const VectorPtr& ref = parameters_[REF][i]->getBuf(PARAMETER_VALUE);
VLOG(lvl_) << "Mkldnn Output weight " << parameters_[DNN][i]->getName();
printVector(dnn);
VLOG(lvl_) << "Reference Output weight " << parameters_[REF][i]->getName();
printVector(ref);
double delta = compareVector(dnn, ref);
EXPECT_LE(fabs(delta), eps_);
}
VLOG(MKLDNN_ALL) << "Restore dnn weights before comapre";
restoreWgt(dnnWgts, parameters_[DNN]);
}
void MKLDNNTester::saveWgt(const vector<ParameterPtr>& from,
vector<VectorPtr>& to) {
const bool useGpu = false;
to.resize(from.size());
for (size_t i = 0; i < to.size(); ++i) {
const VectorPtr& wgt = from[i]->getBuf(PARAMETER_VALUE);
to[i] = Vector::create(wgt->getSize(), useGpu);
to[i]->copyFrom(*wgt);
}
}
void MKLDNNTester::restoreWgt(const vector<VectorPtr>& from,
vector<ParameterPtr>& to) {
CHECK_EQ(from.size(), to.size());
for (size_t i = 0; i < from.size(); ++i) {
const VectorPtr& wgt = to[i]->getBuf(PARAMETER_VALUE);
wgt->copyFrom(*from[i]);
}
}
// clear parameters grad
void MKLDNNTester::clearWgtDiffs() {
for (size_t n = 0; n < parameters_.size(); ++n) {
for (size_t i = 0; i < parameters_[n].size(); ++i) {
const VectorPtr& grad = parameters_[n][i]->getBuf(PARAMETER_GRADIENT);
if (grad) {
grad->zeroMem();
}
}
}
}
void MKLDNNTester::clearBotDiffs() {
// dnn and ref
for (size_t n = 0; n < dataLayers_.size(); ++n) {
// all inputs layers
for (size_t i = 0; i < dataLayers_[n].size(); ++i) {
dataLayers_[n][i]->getOutputGrad()->zeroMem();
}
}
}
void MKLDNNTester::clearBotDiffs(int n) {
CHECK_LT(n, NUM);
// all inputs layers
for (size_t i = 0; i < dataLayers_[n].size(); ++i) {
dataLayers_[n][i]->getOutputGrad()->zeroMem();
}
}
void MKLDNNTester::clearTopDatas() {
for (size_t i = 0; i < testLayers_.size(); ++i) {
testLayers_[i]->getOutputValue()->zeroMem();
}
}
void MKLDNNTester::printTopDatas() {
if (!log_) {
return;
}
for (int n = 0; n < NUM; ++n) {
VLOG(lvl_) << testLayers_[n]->getType() << " forward output TopData: ";
printMatrix(testLayers_[n]->getOutputValue());
}
}
void MKLDNNTester::printMatrix(const MatrixPtr& m) {
if (!log_) {
return;
}
std::ostringstream ostr;
m->print(ostr);
VLOG(lvl_) << std::endl << ostr.str();
}
void MKLDNNTester::printVector(const VectorPtr& v) {
if (!log_) {
return;
}
std::ostringstream ostr;
v->print(ostr, v->getSize());
VLOG(lvl_) << std::endl << ostr.str();
}
double MKLDNNTester::getDelta(const real* d1,
const real* d2,
size_t len,
const float failRate,
const float thres) {
double delta = 0, sum = 0;
int failCnt = 0;
const double eps = 1e-5;
double maxOut = 0;
for (size_t i = 0; i < len; ++i) {
double ref = fabs(d2[i]);
double diff = fabs(d1[i] - d2[i]);
delta += diff;
sum += ref;
if (ref > eps && fabs(d1[i]) > eps && diff / ref > thres) {
maxOut = std::max(maxOut, diff / ref);
failCnt++;
}
}
EXPECT_TRUE(std::isnormal(sum));
EXPECT_FALSE(std::isinf(sum));
EXPECT_FALSE(std::isnan(delta));
VLOG(MKLDNN_ALL) << "reference avg data: " << sum / len
<< ", delta: " << delta / sum << ", failCnt:" << failCnt;
return (failCnt / (float)len) > failRate ? maxOut : delta / sum;
}
double MKLDNNTester::compareMatrix(const MatrixPtr& m1, const MatrixPtr& m2) {
CHECK_EQ(m1->getElementCnt(), m2->getElementCnt());
return getDelta(m1->getData(), m2->getData(), m1->getElementCnt());
}
double MKLDNNTester::compareVector(const VectorPtr& v1, const VectorPtr& v2) {
CHECK_EQ(v1->getSize(), v2->getSize());
return getDelta(v1->getData(), v2->getData(), v1->getSize());
}
void MKLDNNTester::runOnce() {
// test forward
randomBotDatas();
dnnLayer_->forward(PASS_TRAIN);
refLayer_->forward(PASS_TRAIN);
checkForward();
// test backward
randomTopDiffs();
dnnLayer_->backward(nullptr);
refLayer_->backward(nullptr);
checkBackwardData();
checkBackwardWgts();
// clear buffers
// ref code will addto the diff, dnn code will writeto it
// and clearTopDatas() and clearWgtDiffs() should be coverd by test layers
clearBotDiffs(REF);
}
void MKLDNNTester::run(const TestConfig& dnn,
const TestConfig& ref,
size_t batchSize,
size_t inputImgH,
size_t inputImgW,
size_t iter,
float epsilon,
bool log,
int level) {
VLOG(MKLDNN_TESTS) << "Test MKLDNN functionality: " << dnn.layerConfig.type()
<< " vs " << ref.layerConfig.type();
ih_ = inputImgH;
iw_ = inputImgW;
iter_ = iter;
eps_ = epsilon;
log_ = log;
lvl_ = level;
// Firstly test FLAGS_use_mkldnn_wgt = false
FLAGS_use_mkldnn_wgt = false;
// reset and run once
reset(dnn, ref, batchSize);
randomWgtDatas();
clearWgtDiffs();
clearBotDiffs();
for (size_t i = 0; i < iter_; ++i) {
VLOG(MKLDNN_TESTS) << "Check Iteration " << i;
runOnce();
}
// Then test FLAGS_use_mkldnn_wgt = true
FLAGS_use_mkldnn_wgt = true;
// after run once the mkldnn weight has been stored in dnnlayer
// then save the weights and restart again
vector<VectorPtr> dnnWgts, refWgts;
CHECK_EQ(parameters_[DNN].size(), parameters_[REF].size());
saveWgt(parameters_[DNN], dnnWgts);
saveWgt(parameters_[REF], refWgts);
// restart again with flag true
reset(dnn, ref, batchSize);
// restore wgt
restoreWgt(dnnWgts, parameters_[DNN]);
restoreWgt(refWgts, parameters_[REF]);
clearWgtDiffs();
clearBotDiffs();
for (size_t i = 0; i < iter_; ++i) {
VLOG(MKLDNN_TESTS) << "Check Iteration " << i;
runOnce();
}
}
} // namespace paddle
paddle/gserver/tests/MKLDNNTester.h 0 → 100644
浏览文件 @ 45088206
/* Copyright (c) 2017 PaddlePaddle Authors. All Rights Reserve.
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
#include <string>
#include <vector>
#include "LayerGradUtil.h"
#include "paddle/gserver/layers/MKLDNNBase.h"
namespace paddle {
/**
* @brief test the functionality of Mkldnnlayers
* refer to paddle original function
*/
class MKLDNNTester {
enum {
DNN = 0, // MKLDNN layer
REF = 1, // Reference layer
NUM = 2, // Number of total
};
protected:
std::vector<TestConfig> configs_;
vector<string> layerNames_;
vector<vector<DataLayerPtr>> dataLayers_;
vector<vector<Argument>> datas_;
vector<LayerMap> layerMaps_;
vector<vector<ParameterPtr>> parameters_;
vector<LayerPtr> testLayers_;
LayerPtr dnnLayer_, refLayer_;
/// run some iterations, all the result should pass
size_t iter_;
/// whether to print out the details
bool log_;
/// vlog level to print the matrix details datas
int lvl_;
/// epsilon
float eps_;
/// input image size, default 1
size_t ih_, iw_;
public:
explicit MKLDNNTester(size_t iter = 3, float epsilon = 1e-4) {
iter_ = iter;
eps_ = epsilon;
log_ = false;
lvl_ = MKLDNN_ALL;
}
~MKLDNNTester() {}
public:
void run(const TestConfig& dnn,
const TestConfig& ref,
size_t batchSize,
size_t inputImgH = 1,
size_t inputImgW = 1,
size_t iter = 3,
float epsilon = 1e-4,
bool log = false,
int level = MKLDNN_ALL);
void setLogLevel(int lvl) { lvl_ = lvl; }
private:
void reset(const TestConfig& dnn, const TestConfig& ref, size_t batchSize);
void setInputImgSize();
void runOnce();
void randomWgtDatas();
void randomBotDatas();
void randomTopDiffs();
void checkForward();
void checkBackwardData();
void checkBackwardWgts();
void clearWgtDiffs();
void clearBotDiffs();
void clearBotDiffs(int n); // clear specific layer
void clearTopDatas();
void printTopDatas();
void printMatrix(const MatrixPtr& m);
void printVector(const VectorPtr& v);
void saveWgt(const vector<ParameterPtr>& from, vector<VectorPtr>& to);
void restoreWgt(const vector<VectorPtr>& from, vector<ParameterPtr>& to);
double compareMatrix(const MatrixPtr& m1, const MatrixPtr& m2);
double compareVector(const VectorPtr& v1, const VectorPtr& v2);
/**
* Get delta percent
* if many(>failRate) wrong(abs(dnn-ref)/abs(ref)>thres) points return the
* max(diff/ref)
* else return sum(abs(a-b)) / sum(abs(b))
* The return value should smaller than eps when passing.
*/
double getDelta(const real* d1,
const real* d2,
size_t len,
const float failRate = 1e-3,
const float thres = 0.1);
};
} // namespace paddle
paddle/gserver/tests/test_KmaxSeqScore.cpp
浏览文件 @ 45088206
......@@ -96,6 +96,11 @@ TEST(Layer, kmaxSeqScoreLayer) {
MatrixPtr inValue =
Matrix::create(subSeqStartPosition.back(), 1, false, false);
std::vector<bool> mode = {false};
#ifndef PADDLE_ONLY_CPU
mode.push_back(true);
#endif
for (auto hasSubseq : {false, true}) {
vector<vector<int>> groundTruth;
inValue->randomizeUniform();
......@@ -104,7 +109,7 @@ TEST(Layer, kmaxSeqScoreLayer) {
hasSubseq ? subSeqStartPosition : seqStartPosition,
beamSize);
for (auto useGpu : {false, true}) {
for (auto useGpu : mode) {
TestConfig config;
config.layerConfig.set_type("kmax_seq_score");
config.layerConfig.set_beam_size(beamSize);
......
paddle/gserver/tests/test_MKLDNN.cpp 0 → 100644
浏览文件 @ 45088206
/* Copyright (c) 2017 PaddlePaddle Authors. All Rights Reserve.
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 <gtest/gtest.h>
#include <string>
#include <vector>
#include "MKLDNNTester.h"
#include "ModelConfig.pb.h"
using namespace paddle; // NOLINT
DECLARE_bool(thread_local_rand_use_global_seed);
DECLARE_bool(use_gpu);
DECLARE_bool(use_mkldnn);
struct testFCDesc {
int bs;
int ic;
int oc;
int ih, iw; // oh == ow == 1
};
void testFcLayer(const testFCDesc& pm) {
const std::string compareTypes[] = {"mkldnn_fc", "fc"};
TestConfig cfg;
cfg.layerConfig.set_type(compareTypes[0]);
cfg.layerConfig.set_size(pm.oc);
cfg.inputDefs.push_back(
{INPUT_DATA,
"layer_0",
/* size of input layer= */ size_t(pm.ic * pm.ih * pm.iw),
/* size of weight= */ size_t(pm.oc * pm.ic * pm.ih * pm.iw)});
cfg.layerConfig.add_inputs();
MKLDNNTester tester;
for (auto biasSize : {pm.oc, 0}) {
cfg.biasSize = biasSize;
TestConfig ref = cfg;
ref.layerConfig.set_type(compareTypes[1]);
for (auto bs : {pm.bs, 1}) {
tester.run(cfg, ref, bs, pm.ih, pm.iw);
}
}
}
TEST(MKLDNNLayer, FcLayer) {
testFcLayer({/*bs*/ 2, /*ic*/ 2, /*oc*/ 3, /*ih*/ 1, /*iw*/ 1});
testFcLayer({/*bs*/ 3, /*ic*/ 7, /*oc*/ 19, /*ih*/ 1, /*iw*/ 1});
testFcLayer({/*bs*/ 8, /*ic*/ 16, /*oc*/ 32, /*ih*/ 13, /*iw*/ 13});
testFcLayer({/*bs*/ 4, /*ic*/ 12, /*oc*/ 18, /*ih*/ 13, /*iw*/ 11});
testFcLayer({/*bs*/ 2, /*ic*/ 64, /*oc*/ 32, /*ih*/ 16, /*iw*/ 16});
testFcLayer({/*bs*/ 15, /*ic*/ 3, /*oc*/ 6, /*ih*/ 16, /*iw*/ 16});
}
// TODO(TJ): add branch test
int main(int argc, char** argv) {
testing::InitGoogleTest(&argc, argv);
FLAGS_use_gpu = false;
FLAGS_use_mkldnn = true;
initMain(argc, argv);
FLAGS_thread_local_rand_use_global_seed = true;
srand(1);
return RUN_ALL_TESTS();
}
paddle/math/CMakeLists.txt
浏览文件 @ 45088206
......@@ -15,13 +15,13 @@
file(GLOB MATH_HEADERS . *.h)
file(GLOB MATH_SOURCES . *.cpp)
set(MATH_SOURCES
"${PROJ_ROOT}/paddle/math/BaseMatrix.cu"
"${PROJ_ROOT}/paddle/math/TrainingAlgorithmOp.cu"
"${PADDLE_SOURCE_DIR}/paddle/math/BaseMatrix.cu"
"${PADDLE_SOURCE_DIR}/paddle/math/TrainingAlgorithmOp.cu"
${MATH_SOURCES})
if(NOT WITH_GPU)
# then compile BaseMatrix.cu as c++ file
compile_cu_as_cpp("${PROJ_ROOT}/paddle/math/BaseMatrix.cu")
compile_cu_as_cpp("${PROJ_ROOT}/paddle/math/TrainingAlgorithmOp.cu")
compile_cu_as_cpp("${PADDLE_SOURCE_DIR}/paddle/math/BaseMatrix.cu")
compile_cu_as_cpp("${PADDLE_SOURCE_DIR}/paddle/math/TrainingAlgorithmOp.cu")
add_library(paddle_math STATIC
${MATH_SOURCES})
else()
......
paddle/math/CpuSparseMatrix.h
浏览文件 @ 45088206
......@@ -302,6 +302,10 @@ public:
bool isSparse() const { return true; }
private:
using Matrix::mul;
using Matrix::copyFrom;
using Matrix::rowMax;
using Matrix::print;
using Matrix::subMatrix;
};
} // namespace paddle
paddle/math/SparseMatrix.h
浏览文件 @ 45088206
......@@ -231,6 +231,9 @@ public:
private:
using Matrix::mul;
using Matrix::copyFrom;
using Matrix::rowMax;
using Matrix::print;
using Matrix::subMatrix;
};
} // namespace paddle
paddle/operators/gaussian_random_op.cu
浏览文件 @ 45088206
......@@ -40,8 +40,8 @@ class GaussianRandomKernel : public framework::OpKernel {
&g, CURAND_RNG_PSEUDO_DEFAULT));
PADDLE_ENFORCE(
platform::dynload::curandSetPseudoRandomGeneratorSeed(g, seed));
curandGenerateNormal(g, data, framework::product(tensor->dims()), mean,
std);
platform::dynload::curandGenerateNormal(
g, data, framework::product(tensor->dims()), mean, std);
}
};
......@@ -49,4 +49,4 @@ class GaussianRandomKernel : public framework::OpKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP_GPU_KERNEL(gaussian_random, ops::GaussianRandomKernel<float>);
\ No newline at end of file
REGISTER_OP_GPU_KERNEL(gaussian_random, ops::GaussianRandomKernel<float>);
paddle/platform/dynload/cublas.h
浏览文件 @ 45088206
......@@ -48,13 +48,13 @@ extern void *cublas_dso_handle;
}; \
extern DynLoad__##__name __name
#else
#define DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP(__name) \
struct DynLoad__##__name { \
inline template <typename... Args> \
cublasStatus_t operator()(Args... args) { \
return __name(args...); \
} \
}; \
#define DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP(__name) \
struct DynLoad__##__name { \
template <typename... Args> \
inline cublasStatus_t operator()(Args... args) { \
return __name(args...); \
} \
}; \
extern DynLoad__##__name __name
#endif
......
paddle/platform/dynload/curand.h
浏览文件 @ 45088206
......@@ -55,6 +55,7 @@ extern void *curand_dso_handle;
__macro(curandSetPseudoRandomGeneratorSeed); \
__macro(curandGenerateUniform); \
__macro(curandGenerateUniformDouble); \
__macro(curandGenerateNormal); \
__macro(curandDestroyGenerator);
CURAND_RAND_ROUTINE_EACH(DECLARE_DYNAMIC_LOAD_CURAND_WRAP);
......
paddle/platform/place.h
浏览文件 @ 45088206
......@@ -14,8 +14,8 @@ limitations under the License. */
#pragma once
#include <boost/variant.hpp>
#include <iostream>
#include "paddle/platform/variant.h"
namespace paddle {
namespace platform {
......
paddle/platform/variant.h 0 → 100644
浏览文件 @ 45088206
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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
#include <boost/config.hpp>
#ifndef PADDLE_ONLY_CPU
// Because boost's variadic templates has bug on nvcc, boost will disable
// variadic template support when GPU enabled on nvcc.
// Define BOOST_NO_CXX11_VARIADIC_TEMPLATES on gcc/clang to generate same
// function symbols.
//
// https://github.com/PaddlePaddle/Paddle/issues/3386
#ifndef BOOST_NO_CXX11_VARIADIC_TEMPLATES
#define BOOST_NO_CXX11_VARIADIC_TEMPLATES
#endif
#endif
#include <boost/variant.hpp>
paddle/pserver/test/CMakeLists.txt
浏览文件 @ 45088206
......@@ -3,7 +3,7 @@ add_unittest_without_exec(socket_test
SocketTest.cpp)
add_test(NAME socket_test
COMMAND ${PROJ_ROOT}/paddle/.set_port.sh -p port
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_port.sh -p port
${CMAKE_CURRENT_BINARY_DIR}/socket_test --loop_time=10)
####################### test_ProtoServer ####################
......@@ -12,7 +12,7 @@ add_unittest_without_exec(test_ProtoServer
IF(NOT ON_TRAVIS)
add_test(NAME test_ProtoServer
COMMAND ${PROJ_ROOT}/paddle/.set_port.sh -p port
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_port.sh -p port
${CMAKE_CURRENT_BINARY_DIR}/test_ProtoServer)
ENDIF(NOT ON_TRAVIS)
......@@ -24,5 +24,5 @@ ENDIF(NOT ON_TRAVIS)
add_unittest_without_exec(test_ParameterServer2
test_ParameterServer2.cpp)
add_test(NAME test_ParameterServer2
COMMAND ${PROJ_ROOT}/paddle/.set_port.sh -p port -n 4
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_port.sh -p port -n 4
${CMAKE_CURRENT_BINARY_DIR}/test_ParameterServer2)
paddle/scripts/docker/build.sh
浏览文件 @ 45088206
......@@ -31,7 +31,7 @@ Configuring cmake in /paddle/build ...
-DWITH_DOC=OFF
-DWITH_GPU=${WITH_GPU:-OFF}
-DWITH_AVX=${WITH_AVX:-OFF}
-DWITH_GOLANG=${WITH_GOLANG:-OFF}
-DWITH_GOLANG=${WITH_GOLANG:-ON}
-DWITH_SWIG_PY=ON
-DWITH_C_API=${WITH_C_API:-OFF}
-DWITH_PYTHON=${WITH_PYTHON:-ON}
......@@ -51,7 +51,7 @@ cmake .. \
-DWITH_DOC=OFF \
-DWITH_GPU=${WITH_GPU:-OFF} \
-DWITH_AVX=${WITH_AVX:-OFF} \
-DWITH_GOLANG=${WITH_GOLANG:-OFF} \
-DWITH_GOLANG=${WITH_GOLANG:-ON} \
-DWITH_SWIG_PY=${WITH_SWIG_PY:-ON} \
-DWITH_C_API=${WITH_C_API:-OFF} \
-DWITH_PYTHON=${WITH_PYTHON:-ON} \
......@@ -74,11 +74,11 @@ cat <<EOF
Running unit tests ...
========================================
EOF
ctest --output-on-failure
# make install should also be test when unittest
make install -j `nproc`
pip install /usr/local/opt/paddle/share/wheels/*.whl
paddle version
ctest --output-on-failure
fi
......@@ -130,7 +130,7 @@ fi
# generate deb package for current build
# FIXME(typhoonzero): should we remove paddle/scripts/deb ?
if [[ ${WITH_DEB:-OFF} == "ON" ]]; then
if [[ ${WITH_DEB:-ON} == "ON" ]]; then
cat <<EOF
========================================
Generating .deb package ...
......
paddle/trainer/TrainerConfigHelper.cpp
浏览文件 @ 45088206
......@@ -28,6 +28,8 @@ DECLARE_bool(with_cost);
DECLARE_bool(with_gpu);
DECLARE_bool(parallel_nn);
DECLARE_string(config_args);
DECLARE_bool(use_mkldnn);
DECLARE_bool(use_mkldnn_wgt);
const char *kConfigParserModuleName = "paddle.trainer.config_parser";
const char *kConfigParserFuncName = "parse_config_and_serialize";
......@@ -44,6 +46,8 @@ TrainerConfigHelper::TrainerConfigHelper(const std::string &configFilePath)
configArgs << "trainer_id=" << FLAGS_trainer_id << ",local=" << FLAGS_local
<< ",with_cost=" << FLAGS_with_cost << ",use_gpu=" << FLAGS_use_gpu
<< ",parallel_nn=" << FLAGS_parallel_nn
<< ",use_mkldnn=" << FLAGS_use_mkldnn
<< ",use_mkldnn_wgt=" << FLAGS_use_mkldnn_wgt
<< ",cudnn_version=" << hl_get_cudnn_lib_version();
if (!FLAGS_config_args.empty()) {
configArgs << "," << FLAGS_config_args;
......
paddle/trainer/tests/CMakeLists.txt
浏览文件 @ 45088206
......@@ -2,19 +2,19 @@
add_unittest_without_exec(test_Compare
test_Compare.cpp)
add_test(NAME test_Compare
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python
${CMAKE_CURRENT_BINARY_DIR}/test_Compare
WORKING_DIRECTORY ${PROJ_ROOT}/paddle/)
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle/)
################# test_Trainer ###########################
add_unittest_without_exec(test_Trainer
test_Trainer.cpp)
add_test(NAME test_Trainer
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python/
${PYTHON_EXECUTABLE} ${PROJ_ROOT}/paddle/trainer/tests/gen_proto_data.py &&
${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python/
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python/
${PYTHON_EXECUTABLE} ${PADDLE_SOURCE_DIR}/paddle/trainer/tests/gen_proto_data.py &&
${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python/
${CMAKE_CURRENT_BINARY_DIR}/test_Trainer
WORKING_DIRECTORY ${PROJ_ROOT}/paddle/)
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle/)
############### test_TrainerOnePass ##########################
if(WITH_PYTHON)
......@@ -23,60 +23,60 @@ if(WITH_PYTHON)
add_unittest_without_exec(test_TrainerOnePass
test_TrainerOnePass.cpp)
add_test(NAME test_TrainerOnePass
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d
${PROJ_ROOT}/python/:${PROJ_ROOT}/paddle/trainer/tests
${PROJ_ROOT}/paddle/.set_port.sh -p port ${CMAKE_CURRENT_BINARY_DIR}/test_TrainerOnePass
WORKING_DIRECTORY ${PROJ_ROOT}/paddle/)
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d
${PADDLE_SOURCE_DIR}/python/:${PADDLE_SOURCE_DIR}/paddle/trainer/tests
${PADDLE_SOURCE_DIR}/paddle/.set_port.sh -p port ${CMAKE_CURRENT_BINARY_DIR}/test_TrainerOnePass
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle/)
endif()
################ test_CompareTwoNets ######################
add_unittest_without_exec(test_CompareTwoNets
test_CompareTwoNets.cpp)
add_test(NAME test_CompareTwoNets
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python/
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python/
${CMAKE_CURRENT_BINARY_DIR}/test_CompareTwoNets
--config_file_a=trainer/tests/sample_trainer_config_qb_rnn.conf --config_file_b=trainer/tests/sample_trainer_config_rnn.conf
WORKING_DIRECTORY ${PROJ_ROOT}/paddle/)
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle/)
############### test_CompareTwoOpts ###################
add_unittest_without_exec(test_CompareTwoOpts
test_CompareTwoOpts.cpp)
add_test(NAME test_CompareTwoOpts
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python/
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python/
${CMAKE_CURRENT_BINARY_DIR}/test_CompareTwoOpts
--config_file_a=trainer/tests/sample_trainer_config_opt_a.conf --config_file_b=trainer/tests/sample_trainer_config_opt_b.conf
--num_passes=1 --need_high_accuracy=0
WORKING_DIRECTORY ${PROJ_ROOT}/paddle/)
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle/)
################# test_CompareSparse ##################
add_unittest_without_exec(test_CompareSparse
test_CompareSparse.cpp)
if(NOT ON_TRAVIS)
add_test(NAME test_CompareSparse
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python/
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python/
./.set_port.sh -p port -n 6
${CMAKE_CURRENT_BINARY_DIR}/test_CompareSparse
WORKING_DIRECTORY ${PROJ_ROOT}/paddle/)
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle/)
endif()
################# test_recurrent_machine_generation ###############
add_unittest_without_exec(test_recurrent_machine_generation
test_recurrent_machine_generation.cpp)
add_test(NAME test_recurrent_machine_generation
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python/
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python/
${CMAKE_CURRENT_BINARY_DIR}/test_recurrent_machine_generation
WORKING_DIRECTORY ${PROJ_ROOT}/paddle/)
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle/)
#################### test_PyDataProviderWrapper #########################
add_unittest_without_exec(test_PyDataProviderWrapper
test_PyDataProviderWrapper.cpp)
add_test(NAME test_PyDataProviderWrapper
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d
${PROJ_ROOT}/python/:${PROJ_ROOT}/paddle/trainer/tests
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d
${PADDLE_SOURCE_DIR}/python/:${PADDLE_SOURCE_DIR}/paddle/trainer/tests
${CMAKE_CURRENT_BINARY_DIR}/test_PyDataProviderWrapper
WORKING_DIRECTORY ${PROJ_ROOT}/paddle/)
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle/)
#################### test_config_parser #########################
add_test(NAME test_config_parser
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python/
${PYTHON_EXECUTABLE} ${PROJ_ROOT}/paddle/trainer/tests/config_parser_test.py
WORKING_DIRECTORY ${PROJ_ROOT}/paddle/)
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python/
${PYTHON_EXECUTABLE} ${PADDLE_SOURCE_DIR}/paddle/trainer/tests/config_parser_test.py
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/paddle/)
paddle/utils/Flags.cpp
浏览文件 @ 45088206
......@@ -20,6 +20,14 @@ DEFINE_bool(use_gpu, false, "Only support CPU training");
DEFINE_bool(use_gpu, true, "Whether to use GPU for training");
#endif
#ifdef PADDLE_USE_MKLDNN
// TODO(TJ): change to true when MKLDNN layers support multi-inputs
DEFINE_bool(use_mkldnn, false, "Default still keep use CPU training");
#else
DEFINE_bool(use_mkldnn, false, "Only support CPU training");
#endif
DEFINE_bool(use_mkldnn_wgt, false, "Init weight from CPU weight");
DEFINE_bool(parallel_nn,
false,
"Whether to use multi-threads to calculate one neural network."
......
paddle/utils/Flags.h
浏览文件 @ 45088206
......@@ -40,3 +40,5 @@ DECLARE_bool(show_layer_stat);
DECLARE_string(predict_file);
DECLARE_bool(prev_batch_state);
DECLARE_string(init_model_path);
DECLARE_bool(use_mkldnn);
DECLARE_bool(use_mkldnn_wgt);
paddle/utils/tests/CMakeLists.txt
浏览文件 @ 45088206
......@@ -13,6 +13,6 @@ add_executable(
link_paddle_exe(test_CustomStackTracePrint)
if(NOT APPLE)
add_test(NAME test_CustomStackTracePrint
COMMAND ${PROJ_ROOT}/paddle/utils/tests/test_CustomStackTracePrint.sh
COMMAND ${PADDLE_SOURCE_DIR}/paddle/utils/tests/test_CustomStackTracePrint.sh
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR})
endif()
proto/CMakeLists.txt
浏览文件 @ 45088206
......@@ -9,13 +9,13 @@ foreach(filename ${proto_filenames})
get_filename_component(ABS_FIL ${filename} ABSOLUTE)
get_filename_component(FIL_WE ${filename} NAME_WE)
set(CUR_PROTO_GEN_PY
${PROJ_ROOT}/paddle/python/paddle/proto/${FIL_WE}_pb2.py)
${PADDLE_SOURCE_DIR}/paddle/python/paddle/proto/${FIL_WE}_pb2.py)
set(PROTO_GEN_PY
${CUR_PROTO_GEN_PY}
${PROTO_GEN_PY})
add_custom_command(OUTPUT ${CUR_PROTO_GEN_PY}
COMMAND ${PROTOBUF_PROTOC_EXECUTABLE}
ARGS "--python_out=${PROJ_ROOT}/python/paddle/proto"
ARGS "--python_out=${PADDLE_SOURCE_DIR}/python/paddle/proto"
"-I" ${CMAKE_CURRENT_SOURCE_DIR} ${ABS_FIL}
DEPENDS ${ABS_FIL} protoc)
endforeach()
......
python/CMakeLists.txt
浏览文件 @ 45088206
set(OUTPUT_DIR
"${CMAKE_CURRENT_BINARY_DIR}/build")
file(GLOB TRAINER_PY_FILES . ./paddle/trainer/*.py)
file(GLOB HELPERS_PY_FILES . ./paddle/trainer_config_helpers/*.py)
......@@ -18,7 +16,7 @@ SET(COPY_PADDLE_MASTER "")
if(WITH_GOLANG)
SET(COPY_PADDLE_MASTER "copy_paddle_master")
add_custom_command(TARGET ${COPY_PADDLE_MASTER}
COMMAND cp ${paddle_master_LIB_PATH} ${PROJ_ROOT}/python/paddle/v2/master/
COMMAND cp ${paddle_master_LIB_PATH} ${PADDLE_SOURCE_DIR}/python/paddle/v2/master/
)
add_dependencies(copy_paddle_master paddle_master)
endif(WITH_GOLANG)
......@@ -27,19 +25,21 @@ configure_file(${CMAKE_CURRENT_SOURCE_DIR}/setup.py.in
${CMAKE_CURRENT_BINARY_DIR}/setup.py)
add_custom_command(OUTPUT ${PROJ_ROOT}/python/paddle/v2/framework/core.so
COMMAND cmake -E copy $<TARGET_FILE:paddle_pybind> ${PROJ_ROOT}/python/paddle/v2/framework/core.so
add_custom_command(OUTPUT ${PADDLE_SOURCE_DIR}/python/paddle/v2/framework/core.so
COMMAND cmake -E copy $<TARGET_FILE:paddle_pybind> ${PADDLE_SOURCE_DIR}/python/paddle/v2/framework/core.so
DEPENDS paddle_pybind)
add_custom_target(copy_paddle_pybind ALL DEPENDS ${PROJ_ROOT}/python/paddle/v2/framework/core.so)
add_custom_target(copy_paddle_pybind ALL DEPENDS ${PADDLE_SOURCE_DIR}/python/paddle/v2/framework/core.so)
add_custom_command(OUTPUT ${OUTPUT_DIR}/.timestamp
add_custom_command(OUTPUT ${PADDLE_PYTHON_BUILD_DIR}/.timestamp
COMMAND env ${py_env} ${PYTHON_EXECUTABLE} setup.py bdist_wheel
COMMAND ${CMAKE_COMMAND} -E touch ${OUTPUT_DIR}/.timestamp
COMMAND ${CMAKE_COMMAND} -E touch ${PADDLE_PYTHON_BUILD_DIR}/.timestamp
COMMAND ${CMAKE_COMMAND} -E remove_directory ${PADDLE_PYTHON_BUILD_DIR}/lib-python
COMMAND ${CMAKE_COMMAND} -E copy_directory ${PADDLE_PYTHON_BUILD_DIR}/lib* ${PADDLE_PYTHON_BUILD_DIR}/lib-python
DEPENDS gen_proto_py copy_paddle_pybind framework_py_proto ${PY_FILES} ${external_project_dependencies} ${COPY_PADDLE_MASTER})
add_custom_target(paddle_python ALL DEPENDS
${OUTPUT_DIR}/.timestamp paddle_pserver_main paddle_trainer paddle_merge_model python_api_wheel)
${PADDLE_PYTHON_BUILD_DIR}/.timestamp paddle_pserver_main paddle_trainer paddle_merge_model python_api_wheel)
set(PADDLE_PYTHON_PACKAGE_DIR ${CMAKE_CURRENT_BINARY_DIR}/dist/)
......
python/paddle/trainer/config_parser.py
浏览文件 @ 45088206
......@@ -1604,6 +1604,8 @@ class MultiClassCrossEntropySelfNormCostLayer(LayerBase):
@config_layer('fc')
class FCLayer(LayerBase):
layer_type = 'fc'
def __init__(self,
name,
size,
......@@ -1611,14 +1613,27 @@ class FCLayer(LayerBase):
bias=True,
error_clipping_threshold=None,
**xargs):
super(FCLayer, self).__init__(name, 'fc', size, inputs=inputs, **xargs)
use_mkldnn = bool(int(g_command_config_args.get("use_mkldnn", 0)))
use_mkldnn_wgt = bool(
int(g_command_config_args.get("use_mkldnn_wgt", 0)))
if use_mkldnn:
self.layer_type = 'mkldnn_fc'
config_assert(
len(inputs) == 1,
"MkldnnFCLayer support one and only one input!")
super(FCLayer, self).__init__(
name, self.layer_type, size, inputs=inputs, **xargs)
for input_index in xrange(len(self.inputs)):
input_layer = self.get_input_layer(input_index)
psize = self.config.size * input_layer.size
dims = [input_layer.size, self.config.size]
format = self.inputs[input_index].format
sparse = format == "csr" or format == "csc"
if use_mkldnn:
config_assert(not sparse,
"MkldnnFCLayer do not support sparse format yet")
if use_mkldnn_wgt:
dims = [self.config.size, input_layer.size]
if sparse:
psize = self.inputs[input_index].nnz
else:
......@@ -1631,6 +1646,11 @@ class FCLayer(LayerBase):
self.config.error_clipping_threshold = error_clipping_threshold
@config_layer('mkldnn_fc')
class MkldnnFcLayer(FCLayer):
layer_type = 'mkldnn_fc'
@config_layer('selective_fc')
class SelectiveFCLayer(LayerBase):
def __init__(self,
......
python/paddle/trainer_config_helpers/tests/CMakeLists.txt
浏览文件 @ 45088206
#################### test_config_parser #########################
add_test(NAME layers_test
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python/
${PYTHON_EXECUTABLE} ${PROJ_ROOT}/python/paddle/trainer_config_helpers/tests/layers_test.py
WORKING_DIRECTORY ${PROJ_ROOT}/python/paddle)
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python/
${PYTHON_EXECUTABLE} ${PADDLE_SOURCE_DIR}/python/paddle/trainer_config_helpers/tests/layers_test.py
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/python/paddle)
add_test(NAME test_reset_hook
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python/
${PYTHON_EXECUTABLE} ${PROJ_ROOT}/python/paddle/trainer_config_helpers/tests/test_reset_hook.py
WORKING_DIRECTORY ${PROJ_ROOT}/python/paddle)
COMMAND ${PADDLE_SOURCE_DIR}/paddle/.set_python_path.sh -d ${PADDLE_SOURCE_DIR}/python/
${PYTHON_EXECUTABLE} ${PADDLE_SOURCE_DIR}/python/paddle/trainer_config_helpers/tests/test_reset_hook.py
WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}/python/paddle)
add_paddle_exe(protobuf_equal ProtobufEqualMain.cpp)
add_test(NAME test_layerHelpers
COMMAND
${PROJ_ROOT}/python/paddle/trainer_config_helpers/tests/configs/run_tests.sh ${PYTHON_EXECUTABLE}
${PADDLE_SOURCE_DIR}/python/paddle/trainer_config_helpers/tests/configs/run_tests.sh ${PYTHON_EXECUTABLE}
${CMAKE_CURRENT_BINARY_DIR}/protobuf_equal
)
python/paddle/v2/framework/tests/CMakeLists.txt
浏览文件 @ 45088206
......@@ -23,6 +23,5 @@ py_test(test_rowwise_add_op SRCS test_rowwise_add_op.py)
py_test(test_default_scope_funcs SRCS test_default_scope_funcs.py)
py_test(test_operator SRCS test_operator.py)
py_test(test_gaussian_random_op SRCS test_gaussian_random_op.py)
# py_test(test_gaussian_random_op SRCS test_gaussian_random_op.py)
py_test(test_uniform_random_op SRCS test_uniform_random_op.py)
python/setup.py.in
浏览文件 @ 45088206
......@@ -45,14 +45,14 @@ setup(name='paddlepaddle',
'': '${CMAKE_CURRENT_SOURCE_DIR}',
# The paddle.v2.framework.proto will be generated while compiling.
# So that package points to other directory.
'paddle.v2.framework.proto': '${PROJ_BINARY_ROOT}/paddle/framework',
'py_paddle': '${PROJ_ROOT}/paddle/py_paddle'
'paddle.v2.framework.proto': '${PADDLE_BINARY_DIR}/paddle/framework',
'py_paddle': '${PADDLE_SOURCE_DIR}/paddle/py_paddle'
},
scripts=['${PROJ_BINARY_ROOT}/paddle/scripts/paddle'],
scripts=['${PADDLE_BINARY_DIR}/paddle/scripts/paddle'],
distclass=BinaryDistribution,
data_files=[('/usr/local/opt/paddle/bin',
['${PROJ_BINARY_ROOT}/paddle/scripts/paddle_usage',
'${PROJ_BINARY_ROOT}/paddle/trainer/paddle_trainer',
'${PROJ_BINARY_ROOT}/paddle/trainer/paddle_merge_model',
'${PROJ_BINARY_ROOT}/paddle/pserver/paddle_pserver_main'])]
['${PADDLE_BINARY_DIR}/paddle/scripts/paddle_usage',
'${PADDLE_BINARY_DIR}/paddle/trainer/paddle_trainer',
'${PADDLE_BINARY_DIR}/paddle/trainer/paddle_merge_model',
'${PADDLE_BINARY_DIR}/paddle/pserver/paddle_pserver_main'])]
)
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