提交 7c8c9dc9 编写于 作者: P peizhilin

fix unit test cases

上级 bef475c9
...@@ -349,10 +349,17 @@ function(cc_test TARGET_NAME) ...@@ -349,10 +349,17 @@ function(cc_test TARGET_NAME)
set(oneValueArgs "") set(oneValueArgs "")
set(multiValueArgs SRCS DEPS ARGS) set(multiValueArgs SRCS DEPS ARGS)
cmake_parse_arguments(cc_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN}) cmake_parse_arguments(cc_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
if(WIN32)
list(APPEND win32_deps shlwapi)
if("${cc_test_DEPS};" MATCHES "python;")
list(REMOVE_ITEM cc_test_DEPS python)
list(APPEND win32_deps ${PYTHON_LIBRARIES})
endif()
endif(WIN32)
add_executable(${TARGET_NAME} ${cc_test_SRCS}) add_executable(${TARGET_NAME} ${cc_test_SRCS})
target_link_libraries(${TARGET_NAME} ${cc_test_DEPS} paddle_gtest_main lod_tensor memory gtest gflags glog) target_link_libraries(${TARGET_NAME} ${cc_test_DEPS} paddle_gtest_main lod_tensor memory gtest gflags glog)
if(WIN32) if(WIN32)
target_link_libraries(${TARGET_NAME} shlwapi) target_link_libraries(${TARGET_NAME} ${win32_deps})
endif(WIN32) endif(WIN32)
add_dependencies(${TARGET_NAME} ${cc_test_DEPS} paddle_gtest_main lod_tensor memory gtest gflags glog) add_dependencies(${TARGET_NAME} ${cc_test_DEPS} paddle_gtest_main lod_tensor memory gtest gflags glog)
add_test(NAME ${TARGET_NAME} add_test(NAME ${TARGET_NAME}
...@@ -679,7 +686,7 @@ function(py_test TARGET_NAME) ...@@ -679,7 +686,7 @@ function(py_test TARGET_NAME)
set(multiValueArgs SRCS DEPS ARGS ENVS) set(multiValueArgs SRCS DEPS ARGS ENVS)
cmake_parse_arguments(py_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN}) cmake_parse_arguments(py_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
add_test(NAME ${TARGET_NAME} add_test(NAME ${TARGET_NAME}
COMMAND env FLAGS_init_allocated_mem=true FLAGS_cudnn_deterministic=true COMMAND ${CMAKE_COMMAND} -E env FLAGS_init_allocated_mem=true FLAGS_cudnn_deterministic=true
FLAGS_cpu_deterministic=true FLAGS_cpu_deterministic=true
PYTHONPATH=${PADDLE_BINARY_DIR}/python ${py_test_ENVS} PYTHONPATH=${PADDLE_BINARY_DIR}/python ${py_test_ENVS}
${PYTHON_EXECUTABLE} -u ${py_test_SRCS} ${py_test_ARGS} ${PYTHON_EXECUTABLE} -u ${py_test_SRCS} ${py_test_ARGS}
......
...@@ -23,7 +23,7 @@ namespace paddle { ...@@ -23,7 +23,7 @@ namespace paddle {
namespace framework { namespace framework {
namespace details { namespace details {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
AllReduceOpHandle::AllReduceOpHandle(ir::Node *node, AllReduceOpHandle::AllReduceOpHandle(ir::Node *node,
const std::vector<Scope *> &local_scopes, const std::vector<Scope *> &local_scopes,
const std::vector<platform::Place> &places, const std::vector<platform::Place> &places,
...@@ -74,7 +74,7 @@ void AllReduceOpHandle::RunImpl() { ...@@ -74,7 +74,7 @@ void AllReduceOpHandle::RunImpl() {
} }
if (platform::is_gpu_place(lod_tensors[0]->place())) { if (platform::is_gpu_place(lod_tensors[0]->place())) {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
PADDLE_ENFORCE(nccl_ctxs_, "nccl_ctxs should not be nullptr."); PADDLE_ENFORCE(nccl_ctxs_, "nccl_ctxs should not be nullptr.");
int dtype = -1; int dtype = -1;
size_t numel = 0; size_t numel = 0;
......
...@@ -20,7 +20,7 @@ ...@@ -20,7 +20,7 @@
#include "paddle/fluid/framework/details/op_handle_base.h" #include "paddle/fluid/framework/details/op_handle_base.h"
#include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/scope.h"
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
#include "paddle/fluid/platform/nccl_helper.h" #include "paddle/fluid/platform/nccl_helper.h"
#endif #endif
...@@ -29,7 +29,7 @@ namespace framework { ...@@ -29,7 +29,7 @@ namespace framework {
namespace details { namespace details {
struct AllReduceOpHandle : public OpHandleBase { struct AllReduceOpHandle : public OpHandleBase {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
AllReduceOpHandle(ir::Node *node, const std::vector<Scope *> &local_scopes, AllReduceOpHandle(ir::Node *node, const std::vector<Scope *> &local_scopes,
const std::vector<platform::Place> &places, const std::vector<platform::Place> &places,
const platform::NCCLContextMap *ctxs); const platform::NCCLContextMap *ctxs);
...@@ -49,7 +49,7 @@ struct AllReduceOpHandle : public OpHandleBase { ...@@ -49,7 +49,7 @@ struct AllReduceOpHandle : public OpHandleBase {
private: private:
std::vector<Scope *> local_scopes_; std::vector<Scope *> local_scopes_;
std::vector<platform::Place> places_; std::vector<platform::Place> places_;
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
const platform::NCCLContextMap *nccl_ctxs_; const platform::NCCLContextMap *nccl_ctxs_;
#endif #endif
}; };
......
...@@ -82,7 +82,7 @@ void BroadcastOpHandle::BroadcastOneVar( ...@@ -82,7 +82,7 @@ void BroadcastOpHandle::BroadcastOneVar(
}); });
} }
} else { } else {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
VarHandle *out_handle = nullptr; VarHandle *out_handle = nullptr;
int root_id = boost::get<platform::CUDAPlace>(in_tensor.place()).device; int root_id = boost::get<platform::CUDAPlace>(in_tensor.place()).device;
std::vector<std::function<void()>> broadcast_calls; std::vector<std::function<void()>> broadcast_calls;
......
...@@ -24,7 +24,7 @@ ...@@ -24,7 +24,7 @@
#include "paddle/fluid/framework/selected_rows.h" #include "paddle/fluid/framework/selected_rows.h"
#include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/device_context.h"
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
#include "paddle/fluid/platform/nccl_helper.h" #include "paddle/fluid/platform/nccl_helper.h"
#endif #endif
...@@ -34,7 +34,7 @@ namespace details { ...@@ -34,7 +34,7 @@ namespace details {
struct BroadcastOpHandle : public OpHandleBase { struct BroadcastOpHandle : public OpHandleBase {
public: public:
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
BroadcastOpHandle(ir::Node *node, const std::vector<Scope *> &local_scopes, BroadcastOpHandle(ir::Node *node, const std::vector<Scope *> &local_scopes,
const std::vector<platform::Place> &places, const std::vector<platform::Place> &places,
const platform::NCCLContextMap *nccl_ctxs) const platform::NCCLContextMap *nccl_ctxs)
...@@ -68,7 +68,7 @@ struct BroadcastOpHandle : public OpHandleBase { ...@@ -68,7 +68,7 @@ struct BroadcastOpHandle : public OpHandleBase {
std::vector<Scope *> local_scopes_; std::vector<Scope *> local_scopes_;
std::vector<platform::Place> places_; std::vector<platform::Place> places_;
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
const platform::NCCLContextMap *nccl_ctxs_; const platform::NCCLContextMap *nccl_ctxs_;
#endif #endif
......
...@@ -42,7 +42,7 @@ struct TestBroadcastOpHandle { ...@@ -42,7 +42,7 @@ struct TestBroadcastOpHandle {
std::vector<std::unique_ptr<ir::Node>> nodes_; std::vector<std::unique_ptr<ir::Node>> nodes_;
std::vector<p::Place> place_list_; std::vector<p::Place> place_list_;
bool use_gpu_; bool use_gpu_;
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
std::unique_ptr<platform::NCCLContextMap> nccl_ctxs_; std::unique_ptr<platform::NCCLContextMap> nccl_ctxs_;
#endif #endif
...@@ -50,7 +50,7 @@ struct TestBroadcastOpHandle { ...@@ -50,7 +50,7 @@ struct TestBroadcastOpHandle {
for (size_t j = 0; j < ctxs_.size(); ++j) { for (size_t j = 0; j < ctxs_.size(); ++j) {
ctxs_[j]->Wait(); ctxs_[j]->Wait();
} }
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
if (nccl_ctxs_) { if (nccl_ctxs_) {
nccl_ctxs_->WaitAll(); nccl_ctxs_->WaitAll();
} }
...@@ -60,7 +60,7 @@ struct TestBroadcastOpHandle { ...@@ -60,7 +60,7 @@ struct TestBroadcastOpHandle {
void InitCtxOnGpu(bool use_gpu) { void InitCtxOnGpu(bool use_gpu) {
use_gpu_ = use_gpu; use_gpu_ = use_gpu;
if (use_gpu_) { if (use_gpu_) {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
int count = p::GetCUDADeviceCount(); int count = p::GetCUDADeviceCount();
if (count <= 1) { if (count <= 1) {
LOG(WARNING) << "Cannot test multi-gpu Broadcast, because the CUDA " LOG(WARNING) << "Cannot test multi-gpu Broadcast, because the CUDA "
...@@ -84,7 +84,7 @@ struct TestBroadcastOpHandle { ...@@ -84,7 +84,7 @@ struct TestBroadcastOpHandle {
place_list_.push_back(p); place_list_.push_back(p);
ctxs_.emplace_back(new p::CPUDeviceContext(p)); ctxs_.emplace_back(new p::CPUDeviceContext(p));
} }
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
nccl_ctxs_.reset(nullptr); nccl_ctxs_.reset(nullptr);
#endif #endif
} }
...@@ -106,14 +106,14 @@ struct TestBroadcastOpHandle { ...@@ -106,14 +106,14 @@ struct TestBroadcastOpHandle {
nodes_.emplace_back( nodes_.emplace_back(
ir::CreateNodeForTest("node0", ir::Node::Type::kOperation)); ir::CreateNodeForTest("node0", ir::Node::Type::kOperation));
if (use_gpu_) { if (use_gpu_) {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
op_handle_ = new BroadcastOpHandle(nodes_.back().get(), local_scopes_, op_handle_ = new BroadcastOpHandle(nodes_.back().get(), local_scopes_,
place_list_, nccl_ctxs_.get()); place_list_, nccl_ctxs_.get());
#else #else
PADDLE_THROW("CUDA is not support."); PADDLE_THROW("CUDA is not support.");
#endif #endif
} else { } else {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
op_handle_ = new BroadcastOpHandle(nodes_.back().get(), local_scopes_, op_handle_ = new BroadcastOpHandle(nodes_.back().get(), local_scopes_,
place_list_, nccl_ctxs_.get()); place_list_, nccl_ctxs_.get());
#else #else
......
...@@ -96,7 +96,7 @@ std::unique_ptr<ir::Graph> BuildStrategy::Apply( ...@@ -96,7 +96,7 @@ std::unique_ptr<ir::Graph> BuildStrategy::Apply(
const std::string &loss_var_name, const std::string &loss_var_name,
const std::unordered_set<std::string> &param_names, const std::unordered_set<std::string> &param_names,
const std::vector<Scope *> &local_scopes, const std::vector<Scope *> &local_scopes,
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
const bool use_cuda, platform::NCCLContextMap *nccl_ctxs) const { const bool use_cuda, platform::NCCLContextMap *nccl_ctxs) const {
#else #else
const bool use_cuda) const { const bool use_cuda) const {
...@@ -118,7 +118,7 @@ std::unique_ptr<ir::Graph> BuildStrategy::Apply( ...@@ -118,7 +118,7 @@ std::unique_ptr<ir::Graph> BuildStrategy::Apply(
pass->Erase("local_scopes"); pass->Erase("local_scopes");
pass->SetNotOwned<const std::vector<Scope *>>("local_scopes", pass->SetNotOwned<const std::vector<Scope *>>("local_scopes",
&local_scopes); &local_scopes);
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
platform::NCCLContextMap *nctx = use_cuda ? nccl_ctxs : nullptr; platform::NCCLContextMap *nctx = use_cuda ? nccl_ctxs : nullptr;
pass->Erase("nccl_ctxs"); pass->Erase("nccl_ctxs");
pass->SetNotOwned<platform::NCCLContextMap>("nccl_ctxs", nctx); pass->SetNotOwned<platform::NCCLContextMap>("nccl_ctxs", nctx);
......
...@@ -23,7 +23,7 @@ ...@@ -23,7 +23,7 @@
#include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/device_context.h"
#include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/enforce.h"
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
#include "paddle/fluid/platform/nccl_helper.h" #include "paddle/fluid/platform/nccl_helper.h"
#endif #endif
...@@ -98,7 +98,7 @@ struct BuildStrategy { ...@@ -98,7 +98,7 @@ struct BuildStrategy {
const std::string &loss_var_name, const std::string &loss_var_name,
const std::unordered_set<std::string> &param_names, const std::unordered_set<std::string> &param_names,
const std::vector<Scope *> &local_scopes, const std::vector<Scope *> &local_scopes,
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
const bool use_cuda, platform::NCCLContextMap *nccl_ctxs) const; const bool use_cuda, platform::NCCLContextMap *nccl_ctxs) const;
#else #else
const bool use_cuda) const; const bool use_cuda) const;
......
...@@ -20,7 +20,7 @@ namespace paddle { ...@@ -20,7 +20,7 @@ namespace paddle {
namespace framework { namespace framework {
namespace details { namespace details {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
DataBalanceOpHandle::DataBalanceOpHandle( DataBalanceOpHandle::DataBalanceOpHandle(
ir::Node *node, const std::vector<Scope *> &local_scopes, ir::Node *node, const std::vector<Scope *> &local_scopes,
const std::vector<platform::Place> &places, const std::vector<platform::Place> &places,
......
...@@ -19,7 +19,7 @@ ...@@ -19,7 +19,7 @@
#include "paddle/fluid/framework/details/op_handle_base.h" #include "paddle/fluid/framework/details/op_handle_base.h"
#include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/scope.h"
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
#include "paddle/fluid/platform/nccl_helper.h" #include "paddle/fluid/platform/nccl_helper.h"
#endif #endif
...@@ -29,7 +29,7 @@ namespace details { ...@@ -29,7 +29,7 @@ namespace details {
struct DataBalanceOpHandle : public OpHandleBase { struct DataBalanceOpHandle : public OpHandleBase {
public: public:
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
DataBalanceOpHandle(ir::Node *node, const std::vector<Scope *> &local_scopes, DataBalanceOpHandle(ir::Node *node, const std::vector<Scope *> &local_scopes,
const std::vector<platform::Place> &places, const std::vector<platform::Place> &places,
const platform::NCCLContextMap *ctxs); const platform::NCCLContextMap *ctxs);
......
...@@ -25,7 +25,7 @@ ...@@ -25,7 +25,7 @@
#include "paddle/fluid/framework/selected_rows.h" #include "paddle/fluid/framework/selected_rows.h"
#include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/device_context.h"
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
#include "paddle/fluid/platform/nccl_helper.h" #include "paddle/fluid/platform/nccl_helper.h"
#endif #endif
...@@ -35,7 +35,7 @@ namespace details { ...@@ -35,7 +35,7 @@ namespace details {
struct FusedBroadcastOpHandle : public BroadcastOpHandle { struct FusedBroadcastOpHandle : public BroadcastOpHandle {
public: public:
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
FusedBroadcastOpHandle(ir::Node *node, FusedBroadcastOpHandle(ir::Node *node,
const std::vector<Scope *> local_scopes, const std::vector<Scope *> local_scopes,
const std::vector<platform::Place> &places, const std::vector<platform::Place> &places,
......
...@@ -44,14 +44,14 @@ struct TestFusedBroadcastOpHandle : TestBroadcastOpHandle { ...@@ -44,14 +44,14 @@ struct TestFusedBroadcastOpHandle : TestBroadcastOpHandle {
nodes_.emplace_back( nodes_.emplace_back(
ir::CreateNodeForTest("fused_broadcast", ir::Node::Type::kOperation)); ir::CreateNodeForTest("fused_broadcast", ir::Node::Type::kOperation));
if (use_gpu_) { if (use_gpu_) {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
op_handle_ = new FusedBroadcastOpHandle( op_handle_ = new FusedBroadcastOpHandle(
nodes_.back().get(), local_scopes_, place_list_, nccl_ctxs_.get()); nodes_.back().get(), local_scopes_, place_list_, nccl_ctxs_.get());
#else #else
PADDLE_THROW("CUDA is not supported."); PADDLE_THROW("CUDA is not supported.");
#endif #endif
} else { } else {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
op_handle_ = new FusedBroadcastOpHandle( op_handle_ = new FusedBroadcastOpHandle(
nodes_.back().get(), local_scopes_, place_list_, nccl_ctxs_.get()); nodes_.back().get(), local_scopes_, place_list_, nccl_ctxs_.get());
#else #else
......
...@@ -142,7 +142,7 @@ void MultiDevSSAGraphBuilder::Init() const { ...@@ -142,7 +142,7 @@ void MultiDevSSAGraphBuilder::Init() const {
places_ = Get<const std::vector<platform::Place>>(kPlaces); places_ = Get<const std::vector<platform::Place>>(kPlaces);
local_scopes_ = Get<const std::vector<Scope *>>(kLocalScopes); local_scopes_ = Get<const std::vector<Scope *>>(kLocalScopes);
strategy_ = Get<const BuildStrategy>(kStrategy); strategy_ = Get<const BuildStrategy>(kStrategy);
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
nccl_ctxs_ = &Get<platform::NCCLContextMap>("nccl_ctxs"); nccl_ctxs_ = &Get<platform::NCCLContextMap>("nccl_ctxs");
#endif #endif
...@@ -431,7 +431,7 @@ std::unique_ptr<ir::Graph> MultiDevSSAGraphBuilder::ApplyImpl( ...@@ -431,7 +431,7 @@ std::unique_ptr<ir::Graph> MultiDevSSAGraphBuilder::ApplyImpl(
} }
} }
bool use_gpu = false; bool use_gpu = false;
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
use_gpu = nccl_ctxs_ != nullptr; use_gpu = nccl_ctxs_ != nullptr;
#endif #endif
...@@ -478,7 +478,7 @@ bool MultiDevSSAGraphBuilder::IsSparseGradient(const std::string &og) const { ...@@ -478,7 +478,7 @@ bool MultiDevSSAGraphBuilder::IsSparseGradient(const std::string &og) const {
void MultiDevSSAGraphBuilder::SetCommunicationContext( void MultiDevSSAGraphBuilder::SetCommunicationContext(
OpHandleBase *op_handle, const platform::Place &p) const { OpHandleBase *op_handle, const platform::Place &p) const {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
if (nccl_ctxs_ == nullptr) { if (nccl_ctxs_ == nullptr) {
op_handle->SetDeviceContext(p, op_handle->SetDeviceContext(p,
platform::DeviceContextPool::Instance().Get(p)); platform::DeviceContextPool::Instance().Get(p));
...@@ -492,7 +492,7 @@ void MultiDevSSAGraphBuilder::SetCommunicationContext( ...@@ -492,7 +492,7 @@ void MultiDevSSAGraphBuilder::SetCommunicationContext(
void MultiDevSSAGraphBuilder::CreateBroadcastOp(ir::Graph *result, void MultiDevSSAGraphBuilder::CreateBroadcastOp(ir::Graph *result,
const std::string &p_name, const std::string &p_name,
size_t src_dev_id) const { size_t src_dev_id) const {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
auto *op_handle = new BroadcastOpHandle( auto *op_handle = new BroadcastOpHandle(
result->CreateEmptyNode("broadcast", ir::Node::Type::kOperation), result->CreateEmptyNode("broadcast", ir::Node::Type::kOperation),
local_scopes_, places_, nccl_ctxs_); local_scopes_, places_, nccl_ctxs_);
...@@ -522,7 +522,7 @@ void MultiDevSSAGraphBuilder::CreateBroadcastOp(ir::Graph *result, ...@@ -522,7 +522,7 @@ void MultiDevSSAGraphBuilder::CreateBroadcastOp(ir::Graph *result,
void MultiDevSSAGraphBuilder::CreateFusedBroadcastOp( void MultiDevSSAGraphBuilder::CreateFusedBroadcastOp(
ir::Graph *result, ir::Graph *result,
const std::vector<std::unordered_set<std::string>> &bcast_varnames) const { const std::vector<std::unordered_set<std::string>> &bcast_varnames) const {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
auto *op_handle = new FusedBroadcastOpHandle( auto *op_handle = new FusedBroadcastOpHandle(
result->CreateEmptyNode("fused_broadcast", ir::Node::Type::kOperation), result->CreateEmptyNode("fused_broadcast", ir::Node::Type::kOperation),
local_scopes_, places_, nccl_ctxs_); local_scopes_, places_, nccl_ctxs_);
...@@ -568,7 +568,7 @@ void MultiDevSSAGraphBuilder::CreateComputationalOp(ir::Graph *result, ...@@ -568,7 +568,7 @@ void MultiDevSSAGraphBuilder::CreateComputationalOp(ir::Graph *result,
void MultiDevSSAGraphBuilder::InsertAllReduceOp(ir::Graph *result, void MultiDevSSAGraphBuilder::InsertAllReduceOp(ir::Graph *result,
const std::string &og) const { const std::string &og) const {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
result->Get<GraphOps>(kGraphOps).emplace_back(new AllReduceOpHandle( result->Get<GraphOps>(kGraphOps).emplace_back(new AllReduceOpHandle(
result->CreateEmptyNode("allreduce", ir::Node::Type::kOperation), result->CreateEmptyNode("allreduce", ir::Node::Type::kOperation),
local_scopes_, places_, nccl_ctxs_)); local_scopes_, places_, nccl_ctxs_));
...@@ -597,7 +597,7 @@ void MultiDevSSAGraphBuilder::InsertAllReduceOp(ir::Graph *result, ...@@ -597,7 +597,7 @@ void MultiDevSSAGraphBuilder::InsertAllReduceOp(ir::Graph *result,
void MultiDevSSAGraphBuilder::InsertDataBalanceOp( void MultiDevSSAGraphBuilder::InsertDataBalanceOp(
ir::Graph *result, const std::vector<std::string> &datas) const { ir::Graph *result, const std::vector<std::string> &datas) const {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
result->Get<GraphOps>(kGraphOps).emplace_back(new DataBalanceOpHandle( result->Get<GraphOps>(kGraphOps).emplace_back(new DataBalanceOpHandle(
result->CreateEmptyNode("data_balance", ir::Node::Type::kOperation), result->CreateEmptyNode("data_balance", ir::Node::Type::kOperation),
local_scopes_, places_, nccl_ctxs_)); local_scopes_, places_, nccl_ctxs_));
...@@ -694,7 +694,7 @@ void MultiDevSSAGraphBuilder::CreateComputationalOps(ir::Graph *result, ...@@ -694,7 +694,7 @@ void MultiDevSSAGraphBuilder::CreateComputationalOps(ir::Graph *result,
VarHandle *MultiDevSSAGraphBuilder::CreateReduceOp(ir::Graph *result, VarHandle *MultiDevSSAGraphBuilder::CreateReduceOp(ir::Graph *result,
const std::string &og, const std::string &og,
int dst_dev_id) const { int dst_dev_id) const {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
result->Get<GraphOps>(kGraphOps).emplace_back(new ReduceOpHandle( result->Get<GraphOps>(kGraphOps).emplace_back(new ReduceOpHandle(
result->CreateEmptyNode("reduce", ir::Node::Type::kOperation), result->CreateEmptyNode("reduce", ir::Node::Type::kOperation),
local_scopes_, places_, nccl_ctxs_)); local_scopes_, places_, nccl_ctxs_));
......
...@@ -40,7 +40,7 @@ class MultiDevSSAGraphBuilder : public ir::Pass { ...@@ -40,7 +40,7 @@ class MultiDevSSAGraphBuilder : public ir::Pass {
size_t device_id) const; size_t device_id) const;
void Init() const; void Init() const;
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
mutable platform::NCCLContextMap *nccl_ctxs_; mutable platform::NCCLContextMap *nccl_ctxs_;
#endif #endif
......
...@@ -125,7 +125,7 @@ void ReduceOpHandle::RunImpl() { ...@@ -125,7 +125,7 @@ void ReduceOpHandle::RunImpl() {
} }
}); });
} else if (paddle::platform::is_gpu_place(lod_tensors[0]->place())) { } else if (paddle::platform::is_gpu_place(lod_tensors[0]->place())) {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
auto pre_in = pre_in_var->Get<framework::LoDTensor>(); auto pre_in = pre_in_var->Get<framework::LoDTensor>();
VariableVisitor::ShareDimsAndLoD(*pre_in_var, out_var); VariableVisitor::ShareDimsAndLoD(*pre_in_var, out_var);
VariableVisitor::GetMutableTensor(out_var).mutable_data( VariableVisitor::GetMutableTensor(out_var).mutable_data(
......
...@@ -23,7 +23,7 @@ ...@@ -23,7 +23,7 @@
#include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/scope.h"
#include "paddle/fluid/framework/selected_rows.h" #include "paddle/fluid/framework/selected_rows.h"
#include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/device_context.h"
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
#include "paddle/fluid/platform/nccl_helper.h" #include "paddle/fluid/platform/nccl_helper.h"
#endif #endif
...@@ -35,7 +35,7 @@ struct ReduceOpHandle : public OpHandleBase { ...@@ -35,7 +35,7 @@ struct ReduceOpHandle : public OpHandleBase {
std::vector<Scope *> local_scopes_; std::vector<Scope *> local_scopes_;
std::vector<platform::Place> places_; std::vector<platform::Place> places_;
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
const platform::NCCLContextMap *nccl_ctxs_; const platform::NCCLContextMap *nccl_ctxs_;
ReduceOpHandle(ir::Node *node, const std::vector<Scope *> &local_scopes, ReduceOpHandle(ir::Node *node, const std::vector<Scope *> &local_scopes,
const std::vector<platform::Place> &places, const std::vector<platform::Place> &places,
......
...@@ -35,7 +35,7 @@ struct TestReduceOpHandle { ...@@ -35,7 +35,7 @@ struct TestReduceOpHandle {
std::vector<p::Place> gpu_list_; std::vector<p::Place> gpu_list_;
std::vector<std::unique_ptr<p::DeviceContext>> ctxs_; std::vector<std::unique_ptr<p::DeviceContext>> ctxs_;
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
std::unique_ptr<platform::NCCLContextMap> nccl_ctxs_; std::unique_ptr<platform::NCCLContextMap> nccl_ctxs_;
#endif #endif
...@@ -43,7 +43,7 @@ struct TestReduceOpHandle { ...@@ -43,7 +43,7 @@ struct TestReduceOpHandle {
for (size_t j = 0; j < ctxs_.size(); ++j) { for (size_t j = 0; j < ctxs_.size(); ++j) {
ctxs_[j]->Wait(); ctxs_[j]->Wait();
} }
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
if (nccl_ctxs_) { if (nccl_ctxs_) {
nccl_ctxs_->WaitAll(); nccl_ctxs_->WaitAll();
} }
...@@ -53,7 +53,7 @@ struct TestReduceOpHandle { ...@@ -53,7 +53,7 @@ struct TestReduceOpHandle {
void InitCtxOnGpu(bool use_gpu) { void InitCtxOnGpu(bool use_gpu) {
use_gpu_ = use_gpu; use_gpu_ = use_gpu;
if (use_gpu) { if (use_gpu) {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
int count = p::GetCUDADeviceCount(); int count = p::GetCUDADeviceCount();
if (count <= 1) { if (count <= 1) {
LOG(WARNING) << "Cannot test multi-gpu Broadcast, because the CUDA " LOG(WARNING) << "Cannot test multi-gpu Broadcast, because the CUDA "
...@@ -77,7 +77,7 @@ struct TestReduceOpHandle { ...@@ -77,7 +77,7 @@ struct TestReduceOpHandle {
gpu_list_.push_back(p); gpu_list_.push_back(p);
ctxs_.emplace_back(new p::CPUDeviceContext(p)); ctxs_.emplace_back(new p::CPUDeviceContext(p));
} }
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
nccl_ctxs_.reset(nullptr); nccl_ctxs_.reset(nullptr);
#endif #endif
} }
...@@ -99,14 +99,14 @@ struct TestReduceOpHandle { ...@@ -99,14 +99,14 @@ struct TestReduceOpHandle {
nodes.emplace_back(new ir::Node("node")); nodes.emplace_back(new ir::Node("node"));
if (use_gpu_) { if (use_gpu_) {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
op_handle_.reset(new ReduceOpHandle(nodes.back().get(), local_scopes_, op_handle_.reset(new ReduceOpHandle(nodes.back().get(), local_scopes_,
gpu_list_, nccl_ctxs_.get())); gpu_list_, nccl_ctxs_.get()));
#else #else
PADDLE_THROW("CUDA is not support."); PADDLE_THROW("CUDA is not support.");
#endif #endif
} else { } else {
#ifdef PADDLE_WITH_CUDA #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
op_handle_.reset(new ReduceOpHandle(nodes.back().get(), local_scopes_, op_handle_.reset(new ReduceOpHandle(nodes.back().get(), local_scopes_,
gpu_list_, nccl_ctxs_.get())); gpu_list_, nccl_ctxs_.get()));
#else #else
......
...@@ -15,7 +15,10 @@ ...@@ -15,7 +15,10 @@
#include "paddle/fluid/framework/ir/is_test_pass.h" #include "paddle/fluid/framework/ir/is_test_pass.h"
#include <gtest/gtest.h> #include <gtest/gtest.h>
#ifdef _WIN32
#undef FALSE
#undef TRUE
#endif
namespace paddle { namespace paddle {
namespace framework { namespace framework {
namespace ir { namespace ir {
......
...@@ -19,6 +19,7 @@ ...@@ -19,6 +19,7 @@
#include "paddle/fluid/inference/analysis/ut_helper.h" #include "paddle/fluid/inference/analysis/ut_helper.h"
#include "paddle/fluid/inference/api/paddle_inference_api.h" #include "paddle/fluid/inference/api/paddle_inference_api.h"
#include "paddle/fluid/inference/api/paddle_inference_pass.h" #include "paddle/fluid/inference/api/paddle_inference_pass.h"
#include "paddle/fluid/platform/port.h"
namespace paddle { namespace paddle {
namespace inference { namespace inference {
...@@ -75,7 +76,7 @@ void TestWord2vecPrediction(const std::string& model_path) { ...@@ -75,7 +76,7 @@ void TestWord2vecPrediction(const std::string& model_path) {
0.000932706}; 0.000932706};
const size_t num_elements = outputs.front().data.length() / sizeof(float); const size_t num_elements = outputs.front().data.length() / sizeof(float);
// The outputs' buffers are in CPU memory. // The outputs' buffers are in CPU memory.
for (size_t i = 0; i < std::min(5UL, num_elements); i++) { for (size_t i = 0; i < std::min((size_t)5UL, num_elements); i++) {
LOG(INFO) << "data: " LOG(INFO) << "data: "
<< static_cast<float*>(outputs.front().data.data())[i]; << static_cast<float*>(outputs.front().data.data())[i];
PADDLE_ENFORCE(static_cast<float*>(outputs.front().data.data())[i], PADDLE_ENFORCE(static_cast<float*>(outputs.front().data.data())[i],
......
...@@ -15,10 +15,6 @@ ...@@ -15,10 +15,6 @@
#pragma once #pragma once
#include <glog/logging.h> #include <glog/logging.h>
#if !defined(_WIN32)
#include <sys/time.h>
#else
#endif
#include <algorithm> #include <algorithm>
#include <chrono> // NOLINT #include <chrono> // NOLINT
...@@ -28,6 +24,7 @@ ...@@ -28,6 +24,7 @@
#include <string> #include <string>
#include <vector> #include <vector>
#include "paddle/fluid/inference/api/paddle_inference_api.h" #include "paddle/fluid/inference/api/paddle_inference_api.h"
#include "paddle/fluid/platform/port.h"
#include "paddle/fluid/string/printf.h" #include "paddle/fluid/string/printf.h"
namespace paddle { namespace paddle {
......
...@@ -13,7 +13,6 @@ See the License for the specific language governing permissions and ...@@ -13,7 +13,6 @@ See the License for the specific language governing permissions and
limitations under the License. */ limitations under the License. */
#include <gflags/gflags.h> #include <gflags/gflags.h>
#include <sys/time.h>
#include <time.h> #include <time.h>
#include <algorithm> #include <algorithm>
#include <fstream> #include <fstream>
......
...@@ -12,7 +12,6 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ...@@ -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 See the License for the specific language governing permissions and
limitations under the License. */ limitations under the License. */
#include <sys/time.h>
#include <time.h> #include <time.h>
#include <fstream> #include <fstream>
#include <thread> // NOLINT #include <thread> // NOLINT
......
...@@ -20,6 +20,7 @@ limitations under the License. */ ...@@ -20,6 +20,7 @@ limitations under the License. */
#include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/inference/io.h" #include "paddle/fluid/inference/io.h"
#include "paddle/fluid/platform/port.h"
#include "paddle/fluid/platform/profiler.h" #include "paddle/fluid/platform/profiler.h"
DECLARE_bool(use_mkldnn); DECLARE_bool(use_mkldnn);
......
...@@ -30,23 +30,23 @@ using std::endl; ...@@ -30,23 +30,23 @@ using std::endl;
void CreateInput(LoDTensor* ids, LoDTensor* scores) { void CreateInput(LoDTensor* ids, LoDTensor* scores) {
LoD lod; LoD lod;
vector<size_t> level0({0, 2, 4}); vector<size_t> level0{0, 2, 4};
vector<size_t> level1({0, 1, 2, 3, 4}); vector<size_t> level1{0, 1, 2, 3, 4};
lod.push_back(level0); lod.push_back(level0);
lod.push_back(level1); lod.push_back(level1);
ids->set_lod(lod); ids->set_lod(lod);
scores->set_lod(lod); scores->set_lod(lod);
auto dims = framework::make_ddim(vector<int64_t>({4, 3})); auto dims = framework::make_ddim(vector<int64_t>{4, 3});
ids->Resize(dims); ids->Resize(dims);
scores->Resize(dims); scores->Resize(dims);
CPUPlace place; CPUPlace place;
auto* ids_data = ids->mutable_data<int64_t>(place); auto* ids_data = ids->mutable_data<int64_t>(place);
auto* scores_data = scores->mutable_data<float>(place); auto* scores_data = scores->mutable_data<float>(place);
vector<int64_t> _ids({4, 2, 5, 2, 1, 3, 3, 5, 2, 8, 2, 1}); vector<int64_t> _ids{4, 2, 5, 2, 1, 3, 3, 5, 2, 8, 2, 1};
vector<float> _scores( vector<float> _scores{0.5f, 0.3f, 0.2f, 0.6f, 0.3f, 0.1f,
{0.5, 0.3, 0.2, 0.6, 0.3, 0.1, 0.9, 0.5, 0.1, 0.7, 0.5, 0.1}); 0.9f, 0.5f, 0.1f, 0.7f, 0.5f, 0.1f};
for (int i = 0; i < 12; i++) { for (int i = 0; i < 12; i++) {
ids_data[i] = _ids[i]; ids_data[i] = _ids[i];
...@@ -79,8 +79,8 @@ TEST(DISABLED_beam_search_op, run) { ...@@ -79,8 +79,8 @@ TEST(DISABLED_beam_search_op, run) {
ASSERT_EQ(sids.lod(), sscores.lod()); ASSERT_EQ(sids.lod(), sscores.lod());
vector<int> tids({4, 2, 3, 8}); vector<int> tids{4, 2, 3, 8};
vector<float> tscores({0.5, 0.6, 0.9, 0.7}); vector<float> tscores{0.5f, 0.6f, 0.9f, 0.7f};
for (int i = 0; i < 4; i++) { for (int i = 0; i < 4; i++) {
ASSERT_EQ(tids[i], sids.data<int64_t>()[i]); ASSERT_EQ(tids[i], sids.data<int64_t>()[i]);
......
...@@ -12,7 +12,6 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ...@@ -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 See the License for the specific language governing permissions and
limitations under the License. */ limitations under the License. */
#include <sys/time.h>
#include <limits> #include <limits>
#include "glog/logging.h" // For VLOG #include "glog/logging.h" // For VLOG
...@@ -20,6 +19,7 @@ limitations under the License. */ ...@@ -20,6 +19,7 @@ limitations under the License. */
#include "paddle/fluid/operators/distributed/grpc_client.h" #include "paddle/fluid/operators/distributed/grpc_client.h"
#include "paddle/fluid/operators/distributed/grpc_serde.h" #include "paddle/fluid/operators/distributed/grpc_serde.h"
#include "paddle/fluid/operators/distributed/request_handler.h" #include "paddle/fluid/operators/distributed/request_handler.h"
#include "paddle/fluid/platform/port.h"
#include "paddle/fluid/platform/profiler.h" #include "paddle/fluid/platform/profiler.h"
namespace paddle { namespace paddle {
......
...@@ -15,7 +15,6 @@ limitations under the License. */ ...@@ -15,7 +15,6 @@ limitations under the License. */
#ifdef PADDLE_WITH_CUDA #ifdef PADDLE_WITH_CUDA
#include <nccl.h> #include <nccl.h>
#endif #endif
#include <sys/time.h>
#include <thread> // NOLINT #include <thread> // NOLINT
#include "google/protobuf/io/coded_stream.h" #include "google/protobuf/io/coded_stream.h"
...@@ -26,6 +25,7 @@ limitations under the License. */ ...@@ -26,6 +25,7 @@ limitations under the License. */
#include "paddle/fluid/operators/distributed/grpc_variable_response.h" #include "paddle/fluid/operators/distributed/grpc_variable_response.h"
#include "paddle/fluid/operators/distributed/proto_encoder_helper.h" #include "paddle/fluid/operators/distributed/proto_encoder_helper.h"
#include "paddle/fluid/operators/distributed/sendrecvop_utils.h" #include "paddle/fluid/operators/distributed/sendrecvop_utils.h"
#include "paddle/fluid/platform/port.h"
#include "paddle/fluid/platform/profiler.h" #include "paddle/fluid/platform/profiler.h"
namespace paddle { namespace paddle {
......
...@@ -13,7 +13,7 @@ See the License for the specific language governing permissions and ...@@ -13,7 +13,7 @@ See the License for the specific language governing permissions and
limitations under the License. */ limitations under the License. */
#pragma once #pragma once
#include <sys/time.h>
#include <iostream> #include <iostream>
#include <string> #include <string>
#include <vector> #include <vector>
...@@ -25,6 +25,7 @@ limitations under the License. */ ...@@ -25,6 +25,7 @@ limitations under the License. */
#include "paddle/fluid/framework/tensor_util.h" #include "paddle/fluid/framework/tensor_util.h"
#include "paddle/fluid/framework/var_type.h" #include "paddle/fluid/framework/var_type.h"
#include "paddle/fluid/operators/distributed/sendrecvop_utils.h" #include "paddle/fluid/operators/distributed/sendrecvop_utils.h"
#include "paddle/fluid/platform/port.h"
#include "paddle/fluid/operators/distributed/send_recv.grpc.pb.h" #include "paddle/fluid/operators/distributed/send_recv.grpc.pb.h"
#include "paddle/fluid/operators/distributed/send_recv.pb.h" #include "paddle/fluid/operators/distributed/send_recv.pb.h"
......
...@@ -15,12 +15,12 @@ limitations under the License. */ ...@@ -15,12 +15,12 @@ limitations under the License. */
#ifdef PADDLE_WITH_CUDA #ifdef PADDLE_WITH_CUDA
#include <nccl.h> #include <nccl.h>
#endif #endif
#include <sys/time.h>
#include <thread> // NOLINT #include <thread> // NOLINT
#include "paddle/fluid/framework/data_type.h" #include "paddle/fluid/framework/data_type.h"
#include "paddle/fluid/operators/distributed/sendrecvop_utils.h" #include "paddle/fluid/operators/distributed/sendrecvop_utils.h"
#include "paddle/fluid/operators/distributed/variable_response.h" #include "paddle/fluid/operators/distributed/variable_response.h"
#include "paddle/fluid/platform/port.h"
namespace paddle { namespace paddle {
namespace operators { namespace operators {
......
...@@ -13,7 +13,6 @@ See the License for the specific language governing permissions and ...@@ -13,7 +13,6 @@ See the License for the specific language governing permissions and
limitations under the License. */ limitations under the License. */
#pragma once #pragma once
#include <sys/time.h>
#include <iostream> #include <iostream>
#include <string> #include <string>
#include <vector> #include <vector>
...@@ -24,6 +23,7 @@ limitations under the License. */ ...@@ -24,6 +23,7 @@ limitations under the License. */
#include "paddle/fluid/framework/selected_rows.h" #include "paddle/fluid/framework/selected_rows.h"
#include "paddle/fluid/framework/tensor_util.h" #include "paddle/fluid/framework/tensor_util.h"
#include "paddle/fluid/framework/var_type.h" #include "paddle/fluid/framework/var_type.h"
#include "paddle/fluid/platform/port.h"
#include "paddle/fluid/operators/distributed/send_recv.pb.h" #include "paddle/fluid/operators/distributed/send_recv.pb.h"
......
...@@ -12,7 +12,6 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ...@@ -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 See the License for the specific language governing permissions and
limitations under the License. */ limitations under the License. */
#include <sys/time.h>
#include <cmath> #include <cmath>
#include <cstring> #include <cstring>
#include <random> #include <random>
...@@ -22,6 +21,7 @@ limitations under the License. */ ...@@ -22,6 +21,7 @@ limitations under the License. */
#include "gtest/gtest.h" #include "gtest/gtest.h"
#include "paddle/fluid/operators/math/cpu_vec.h" #include "paddle/fluid/operators/math/cpu_vec.h"
#include "paddle/fluid/platform/port.h"
inline double GetCurrentUS() { inline double GetCurrentUS() {
struct timeval time; struct timeval time;
......
...@@ -14,9 +14,9 @@ limitations under the License. */ ...@@ -14,9 +14,9 @@ limitations under the License. */
#include "paddle/fluid/operators/math/im2col.h" #include "paddle/fluid/operators/math/im2col.h"
#include <gtest/gtest.h> #include <gtest/gtest.h>
#include <sys/time.h>
#include <vector> #include <vector>
#include "paddle/fluid/operators/math/im2col_cfo_cpu.h" #include "paddle/fluid/operators/math/im2col_cfo_cpu.h"
#include "paddle/fluid/platform/port.h"
template <typename DeviceContext, typename Place> template <typename DeviceContext, typename Place>
void testIm2col() { void testIm2col() {
......
...@@ -13,7 +13,6 @@ See the License for the specific language governing permissions and ...@@ -13,7 +13,6 @@ See the License for the specific language governing permissions and
limitations under the License. */ limitations under the License. */
#include "paddle/fluid/operators/math/jit_kernel.h" #include "paddle/fluid/operators/math/jit_kernel.h"
#include <sys/time.h>
#include <cmath> // for exp #include <cmath> // for exp
#include <cstring> // for memcpy #include <cstring> // for memcpy
#include <random> #include <random>
...@@ -22,6 +21,7 @@ limitations under the License. */ ...@@ -22,6 +21,7 @@ limitations under the License. */
#include "gflags/gflags.h" #include "gflags/gflags.h"
#include "glog/logging.h" #include "glog/logging.h"
#include "gtest/gtest.h" #include "gtest/gtest.h"
#include "paddle/fluid/platform/port.h"
#ifdef PADDLE_WITH_MKLML #ifdef PADDLE_WITH_MKLML
#include "paddle/fluid/platform/dynload/mklml.h" #include "paddle/fluid/platform/dynload/mklml.h"
......
...@@ -62,7 +62,7 @@ inline const char* cudnnGetErrorString(cudnnStatus_t status) { ...@@ -62,7 +62,7 @@ inline const char* cudnnGetErrorString(cudnnStatus_t status) {
#define CUDNN_ENFORCE(condition) \ #define CUDNN_ENFORCE(condition) \
do { \ do { \
cudnnStatus_t status = condition; \ auto status = condition; \
if (UNLIKELY(status != CUDNN_STATUS_SUCCESS)) { \ if (UNLIKELY(status != CUDNN_STATUS_SUCCESS)) { \
PADDLE_THROW(::paddle::platform::cudnnGetErrorString(status)); \ PADDLE_THROW(::paddle::platform::cudnnGetErrorString(status)); \
} \ } \
......
...@@ -48,13 +48,13 @@ extern void EnforceCUDNNLoaded(const char* fn_name); ...@@ -48,13 +48,13 @@ extern void EnforceCUDNNLoaded(const char* fn_name);
#else #else
#define DECLARE_DYNAMIC_LOAD_CUDNN_WRAP(__name) \ #define DECLARE_DYNAMIC_LOAD_CUDNN_WRAP(__name) \
struct DynLoad__##__name { \ struct DynLoad__##__name { \
template <typename... Args> \ template <typename... Args> \
inline cudnnStatus_t operator()(Args... args) { \ inline auto operator()(Args... args) { \
return ::__name(args...); \ return ::__name(args...); \
} \ } \
}; \ }; \
extern DynLoad__##__name __name extern DynLoad__##__name __name
#endif #endif
......
...@@ -19,7 +19,10 @@ limitations under the License. */ ...@@ -19,7 +19,10 @@ limitations under the License. */
#include "gflags/gflags.h" #include "gflags/gflags.h"
#include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/enforce.h"
DEFINE_double(fraction_of_gpu_memory_to_use, 0.92, // fraction_of_gpu_memory_to_use cannot be too high on windows,
// since the win32 graphic sub-system can occupy some GPU memory
// which may lead to insufficient memory left for paddle
DEFINE_double(fraction_of_gpu_memory_to_use, 0.5,
"Allocate a trunk of gpu memory that is this fraction of the " "Allocate a trunk of gpu memory that is this fraction of the "
"total gpu memory size. Future memory usage will be allocated " "total gpu memory size. Future memory usage will be allocated "
"from the trunk. If the trunk doesn't have enough gpu memory, " "from the trunk. If the trunk doesn't have enough gpu memory, "
......
...@@ -18,7 +18,7 @@ ...@@ -18,7 +18,7 @@
#include <cuda_runtime.h> #include <cuda_runtime.h>
#include <functional> #include <functional>
#include <memory> #include <memory>
#include "ThreadPool.h" #include <ThreadPool.h>
#include "paddle/fluid/platform/enforce.h" #include "paddle/fluid/platform/enforce.h"
namespace paddle { namespace paddle {
......
...@@ -12,9 +12,9 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ...@@ -12,9 +12,9 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and See the License for the specific language governing permissions and
limitations under the License. */ limitations under the License. */
#ifndef _WIN32
#ifndef HL_WARPCTC_WRAP_H_ #ifndef HL_WARPCTC_WRAP_H_
#define HL_WARPCTC_WRAP_H_ #define HL_WARPCTC_WRAP_H_
#include "ctc.h" #include "ctc.h"
#include "hl_base.h" #include "hl_base.h"
...@@ -91,3 +91,4 @@ extern void hl_warpctc_get_workspace_size(const int* cpuLabelLengths, ...@@ -91,3 +91,4 @@ extern void hl_warpctc_get_workspace_size(const int* cpuLabelLengths,
size_t* bytes); size_t* bytes);
#endif // HL_WARPCTC_WRAP_H_ #endif // HL_WARPCTC_WRAP_H_
#endif
...@@ -132,11 +132,15 @@ inline pid_t gettid() { ...@@ -132,11 +132,15 @@ inline pid_t gettid() {
uint64_t tid; uint64_t tid;
pthread_threadid_np(NULL, &tid); pthread_threadid_np(NULL, &tid);
#else #else
#ifndef _WIN32
#ifndef __NR_gettid #ifndef __NR_gettid
#define __NR_gettid 224 #define __NR_gettid 224
#endif #endif
pid_t tid = syscall(__NR_gettid); pid_t tid = syscall(__NR_gettid);
#endif #endif
#else // _WIN32
pid_t tid = _getpid();
#endif // _WIN32
CHECK_NE((int)tid, -1); CHECK_NE((int)tid, -1);
return tid; return tid;
} }
......
...@@ -14,10 +14,12 @@ limitations under the License. */ ...@@ -14,10 +14,12 @@ limitations under the License. */
#pragma once #pragma once
#ifndef _WIN32
#include <pthread.h> #include <pthread.h>
#include <sys/syscall.h> #include <sys/syscall.h>
#include <sys/types.h>
#include <unistd.h> #include <unistd.h>
#endif
#include <sys/types.h>
#include <map> #include <map>
#include <mutex> #include <mutex>
#include <random> #include <random>
......
...@@ -14,7 +14,9 @@ limitations under the License. */ ...@@ -14,7 +14,9 @@ limitations under the License. */
#pragma once #pragma once
#ifndef _WIN32
#include <sys/syscall.h> // for syscall() #include <sys/syscall.h> // for syscall()
#endif
#include <sys/types.h> #include <sys/types.h>
#include <algorithm> #include <algorithm>
#include <cmath> #include <cmath>
...@@ -40,6 +42,31 @@ inline int rand_r(unsigned int* seedp) { ...@@ -40,6 +42,31 @@ inline int rand_r(unsigned int* seedp) {
} }
#endif #endif
#ifdef _WIN32
#define NOMINMAX // msvc max/min macro conflict with std::min/max
#include <windows.h>
template <typename T>
inline int __builtin_clz(const T& value) {
DWORD leadning_zero = 0;
if (_BitScanReverse(&leadning_zero, value)) {
return static_cast<int>(sizeof(T) * 8 - leadning_zero);
} else {
return static_cast<int>(0);
}
}
inline int __builtin_clzl(const unsigned long& value) {
return __builtin_clz(value);
}
inline int __builtin_clzll(const unsigned long long& value) {
return __builtin_clz(value);
}
#define pid_t int
#endif
/** /**
* Loop over the elements in a container * Loop over the elements in a container
* TODO(yuyang18): It's this foreach useful? Why not use C++ 11 foreach, * TODO(yuyang18): It's this foreach useful? Why not use C++ 11 foreach,
......
...@@ -3,8 +3,10 @@ ...@@ -3,8 +3,10 @@
if(WITH_TESTING) if(WITH_TESTING)
add_library(paddle_test_main STATIC TestMain.cpp) add_library(paddle_test_main STATIC TestMain.cpp)
add_dependencies(paddle_test_main paddle_proto ${external_project_dependencies}) add_dependencies(paddle_test_main paddle_proto ${external_project_dependencies})
add_library(paddle_test_util STATIC TestUtil.cpp) if(NOT WIN32)
add_dependencies(paddle_test_util paddle_proto ${external_project_dependencies}) add_library(paddle_test_util STATIC TestUtil.cpp)
add_dependencies(paddle_test_util paddle_proto ${external_project_dependencies})
endif(NOT WIN32)
if(NOT MOBILE_INFERENCE) if(NOT MOBILE_INFERENCE)
cc_library(paddle_gtest_main SRCS paddle_gtest_main.cc DEPS device_context memory gtest gflags) cc_library(paddle_gtest_main SRCS paddle_gtest_main.cc DEPS device_context memory gtest gflags)
endif() endif()
......
...@@ -46,8 +46,8 @@ def _is_numpy_(var): ...@@ -46,8 +46,8 @@ def _is_numpy_(var):
def _is_number_(var): def _is_number_(var):
return isinstance(var, int) or isinstance(var, float) or (isinstance( return isinstance(var, int) or isinstance(var, np.int64) or isinstance(
var, np.ndarray) and var.shape == (1, )) var, float) or (isinstance(var, np.ndarray) and var.shape == (1, ))
def _is_number_or_matrix_(var): def _is_number_or_matrix_(var):
......
...@@ -23,9 +23,11 @@ if(NOT WITH_DISTRIBUTE) ...@@ -23,9 +23,11 @@ if(NOT WITH_DISTRIBUTE)
LIST(REMOVE_ITEM TEST_OPS test_dist_text_classification) LIST(REMOVE_ITEM TEST_OPS test_dist_text_classification)
endif(NOT WITH_DISTRIBUTE) endif(NOT WITH_DISTRIBUTE)
if (${CUDNN_MAJOR_VERSION} VERSION_LESS 7) if(WITH_GPU)
LIST(REMOVE_ITEM TEST_OPS test_conv2d_fusion_op) if (${CUDNN_MAJOR_VERSION} VERSION_LESS 7)
endif() LIST(REMOVE_ITEM TEST_OPS test_conv2d_fusion_op)
endif()
endif(WITH_GPU)
list(REMOVE_ITEM TEST_OPS test_seq_concat_op) # FIXME(helin): https://github.com/PaddlePaddle/Paddle/issues/8290 list(REMOVE_ITEM TEST_OPS test_seq_concat_op) # FIXME(helin): https://github.com/PaddlePaddle/Paddle/issues/8290
list(REMOVE_ITEM TEST_OPS test_modified_huber_loss_op) # FIXME(qijun) https://github.com/PaddlePaddle/Paddle/issues/5184 list(REMOVE_ITEM TEST_OPS test_modified_huber_loss_op) # FIXME(qijun) https://github.com/PaddlePaddle/Paddle/issues/5184
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册