Merge branch 'develop' of https://github.com/baidu/Paddle into armv8

cmake/generic.cmake

@@ -93,7 +93,7 @@ include_directories(${CMAKE_CURRENT_BINARY_DIR})
 if(NOT APPLE AND NOT ANDROID)
     find_package(Threads REQUIRED)
     link_libraries(${CMAKE_THREAD_LIBS_INIT})
-    set(CMAKE_CXX_LINK_EXECUTABLE "${CMAKE_CXX_LINK_EXECUTABLE} -ldl")
+    set(CMAKE_CXX_LINK_EXECUTABLE "${CMAKE_CXX_LINK_EXECUTABLE} -ldl -lrt")
 endif(NOT APPLE)
 
 function(merge_static_libs TARGET_NAME)

paddle/CMakeLists.txt

@@ -15,7 +15,6 @@ if(Boost_FOUND)
   add_subdirectory(memory)
   add_subdirectory(platform)
   add_subdirectory(framework)
-  add_subdirectory(operators)
   add_subdirectory(pybind)
 endif()
 

paddle/framework/CMakeLists.txt

@@ -12,7 +12,7 @@ cc_test(op_proto_test SRCS op_proto_test.cc DEPS op_proto protobuf)
 proto_library(op_desc SRCS op_desc.proto DEPS attr_type)
 cc_test(op_desc_test SRCS op_desc_test.cc DEPS op_desc protobuf)
 cc_library(operator SRCS operator.cc DEPS op_desc protobuf)
-cc_test(operator_test SRCS operator_test.cc DEPS operator op_registry)
+cc_test(operator_test SRCS operator_test.cc DEPS operator op_registry place)
 cc_library(op_registry SRCS op_registry.cc DEPS op_proto op_desc)
 cc_test(op_registry_test SRCS op_registry_test.cc DEPS op_registry operator)
 py_proto_compile(framework_py_proto SRCS attr_type.proto op_proto.proto op_desc.proto)

paddle/framework/op_registry.h

@@ -147,13 +147,13 @@ class OpRegisterHelper {
   }
 };
 
-#define REGISTER_OP(__op_class, __op_maker_class, __op_type)         \
-  class __op_class##Register {                                       \
-   private:                                                          \
-    const static OpRegisterHelper<__op_class, __op_maker_class> reg; \
-  };                                                                 \
-  const OpRegisterHelper<__op_class, __op_maker_class>               \
-      __op_class##Register::reg(#__op_type);
+#define REGISTER_OP(type, op_class, op_maker_class)                         \
+  class op_class##Register {                                                \
+   private:                                                                 \
+    const static OpRegisterHelper<op_class, op_maker_class> reg;            \
+  };                                                                        \
+  const OpRegisterHelper<op_class, op_maker_class> op_class##Register::reg( \
+      #type)
 
 }  // namespace framework
 }  // namespace paddle

paddle/framework/op_registry_test.cc

 #include "paddle/framework/op_registry.h"
 #include <gtest/gtest.h>
-#include "paddle/framework/operator.h"
-#include "paddle/operators/demo_op.h"
 
 using namespace paddle::framework;
 
 namespace paddle {
 namespace framework {
-class CosineOp : public OperatorWithKernel {
+class CosineOp : public OperatorBase {
  public:
-  void Run(const OpRunContext* context) const override {
-    printf("%s\n", DebugString().c_str());
-  }
+  void Run(const std::shared_ptr<Scope>& scope,
+           const platform::DeviceContext& dev_ctx) const override {}
+  void InferShape(const std::shared_ptr<Scope>& scope) const override {}
 };
 
 class CosineOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
@@ -28,14 +26,15 @@ class CosineOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
   }
 };
 
-REGISTER_OP(CosineOp, CosineOpProtoAndCheckerMaker, cos_sim)
+REGISTER_OP(cos_sim, CosineOp, CosineOpProtoAndCheckerMaker);
+
+class MyTestOp : public OperatorBase {
+ public:
+  void InferShape(const std::shared_ptr<Scope>& scope) const override {}
+  void Run(const std::shared_ptr<Scope>& scope,
+           const platform::DeviceContext& dev_ctx) const override {}
 
-class MyTestOp : public OperatorWithKernel {
  public:
-  void Run(const OpRunContext* ctx) const override {
-    printf("%s\n", DebugString().c_str());
-    printf("test_attr = %d\n", ctx->op_->GetAttr<int>("test_attr"));
-  }
 };
 
 class MyTestOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
@@ -54,7 +53,7 @@ class MyTestOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
   }
 };
 
-REGISTER_OP(MyTestOp, MyTestOpProtoAndCheckerMaker, my_test_op)
+REGISTER_OP(my_test_op, MyTestOp, MyTestOpProtoAndCheckerMaker);
 }  // namespace framework
 }  // namespace paddle
 
@@ -73,8 +72,8 @@ TEST(OpRegistry, CreateOp) {
   paddle::framework::OperatorBase* op =
       paddle::framework::OpRegistry::CreateOp(op_desc);
   auto scope = std::make_shared<Scope>();
-  auto dev_ctx = DeviceContext();
-  op->Run(scope, &dev_ctx);
+  paddle::platform::CPUDeviceContext dev_ctx;
+  op->Run(scope, dev_ctx);
   float scale_get = op->GetAttr<float>("scale");
   ASSERT_EQ(scale_get, scale);
 }
@@ -116,8 +115,8 @@ TEST(OpRegistry, DefaultValue) {
   paddle::framework::OperatorBase* op =
       paddle::framework::OpRegistry::CreateOp(op_desc);
   auto scope = std::make_shared<Scope>();
-  auto dev_ctx = DeviceContext();
-  op->Run(scope, &dev_ctx);
+  paddle::platform::CPUDeviceContext dev_ctx;
+  op->Run(scope, dev_ctx);
   ASSERT_EQ(op->GetAttr<float>("scale"), 1.0);
 }
 
@@ -169,9 +168,9 @@ TEST(OpRegistry, CustomChecker) {
   attr->set_i(4);
   paddle::framework::OperatorBase* op =
       paddle::framework::OpRegistry::CreateOp(op_desc);
-  auto dev_ctx = DeviceContext();
+  paddle::platform::CPUDeviceContext dev_ctx;
   auto scope = std::make_shared<Scope>();
-  op->Run(scope, &dev_ctx);
+  op->Run(scope, dev_ctx);
   int test_attr = op->GetAttr<int>("test_attr");
   ASSERT_EQ(test_attr, 4);
 }

paddle/framework/operator.cc

@@ -39,13 +39,5 @@ std::string OperatorBase::DebugString() const {
   return ss.str();
 }
 
-const Variable* OpRunContext::Input(int index) const {
-  return scope_->GetVariable(op_->inputs_[index]);
-}
-
-Variable* OpRunContext::Output(int index) const {
-  return scope_->GetVariable(op_->outputs_[index]);
-}
-
 }  // namespace framework
 }  // namespace paddle
\ No newline at end of file

paddle/framework/operator.h

@@ -14,44 +14,22 @@ limitations under the License. */
 
 #pragma once
 
+#include <paddle/framework/attr_checker.h>
+#include <paddle/framework/op_desc.pb.h>
+#include <paddle/framework/scope.h>
+#include <paddle/platform/device_context.h>
+#include <paddle/platform/place.h>
+#include <paddle/utils/Error.h>
 #include <boost/variant.hpp>
 #include <string>
 #include <unordered_map>
 #include <vector>
 
-#include "paddle/framework/attr_checker.h"
-#include "paddle/framework/op_desc.pb.h"
-#include "paddle/framework/scope.h"
-#include "paddle/utils/Error.h"
-
 namespace paddle {
 namespace framework {
 
 class OperatorBase;
 
-class DeviceContext {};
-
-/**
- * OpRunContext is the only parameter of Operator's Run function.
- * Run will get input/output variables, state such as momentum and
- * device resource such as CUDA stream, cublas handle, etc. from
- * OpRunContext. User should construct it before run the Operator.
- */
-class OpRunContext {
- public:
-  OpRunContext(const OperatorBase* op, const std::shared_ptr<Scope> scope,
-               const DeviceContext* device_context)
-      : op_(op), scope_(scope), device_context_(device_context) {}
-
-  const Variable* Input(int index) const;
-  Variable* Output(int index) const;
-
- public:
-  const OperatorBase* op_;
-  const std::shared_ptr<Scope> scope_;
-  const DeviceContext* device_context_;
-};
-
 /**
  * OperatorBase has the basic element that Net will call to do computation.
  * Only CreateOperator from OpRegistry will new Operator directly. User
@@ -77,7 +55,10 @@ class OperatorBase {
 
   /// Net will call this function to Run an op.
   virtual void Run(const std::shared_ptr<Scope>& scope,
-                   const DeviceContext* dev_ctx) const = 0;
+                   const platform::DeviceContext& dev_ctx) const = 0;
+
+ protected:
+  std::string Type() const { return desc_.type(); }
 
  public:
   OpDesc desc_;
@@ -86,22 +67,84 @@ class OperatorBase {
   AttributeMap attrs_;
 };
 
+class OpKernel {
+ public:
+  /**
+   * KernelContext is the only parameter of Kernel Run function.
+   * Run will get input/output variables, state such as momentum and
+   * device resource such as CUDA stream, cublas handle, etc. from
+   * KernelContext. User should construct it before run the Operator.
+   */
+  class KernelContext {
+   public:
+    KernelContext(const OperatorBase* op, const std::shared_ptr<Scope>& scope,
+                  const platform::DeviceContext& device_context)
+        : op_(*op), scope_(scope), device_context_(device_context) {}
+
+    const Variable* Input(int index) const {
+      return scope_->GetVariable(op_.inputs_[index]);
+    }
+
+    Variable* Output(int index) const {
+      return scope_->GetVariable(op_.outputs_[index]);
+    }
+
+    const OperatorBase& op_;
+    const std::shared_ptr<Scope>& scope_;
+    const platform::DeviceContext& device_context_;
+  };
+
+  virtual void Compute(const KernelContext& context) const = 0;
+
+  virtual ~OpKernel() {}
+};
+
 class OperatorWithKernel : public OperatorBase {
  public:
-  virtual ~OperatorWithKernel() {}
+  struct OpKernelKey {
+    platform::Place place_;
 
-  virtual void InferShape(const std::shared_ptr<Scope>& scope) const {}
+    OpKernelKey() = default;
+    OpKernelKey(const platform::DeviceContext& dev_ctx) {
+      place_ = dev_ctx.GetPlace();
+    }
+
+    bool operator==(const OpKernelKey& o) const { return place_ == o.place_; }
+  };
+
+  struct OpKernelHash {
+    std::hash<bool> hash_;
+    size_t operator()(const OpKernelKey& key) const {
+      return hash_(platform::is_gpu_place(key.place_));
+    }
+  };
+
+  using OpKernelMap =
+      std::unordered_map<OpKernelKey, std::unique_ptr<OpKernel>, OpKernelHash>;
 
   void Run(const std::shared_ptr<Scope>& scope,
-           const DeviceContext* dev_ctx) const {
-    OpRunContext op_ctx(this, scope, dev_ctx);
-    Run(&op_ctx);
+           const platform::DeviceContext& dev_ctx) const final {
+    auto& opKernel = AllOpKernels().at(Type()).at(OpKernelKey(dev_ctx));
+    opKernel->Compute(OpKernel::KernelContext(this, scope, dev_ctx));
   }
 
-  /// when implement an Op, your should implement this function.
-  /// this function should be moved to OpKernel later
-  virtual void Run(const OpRunContext* context) const = 0;
+  static std::unordered_map<std::string /* op_type */, OpKernelMap>&
+  AllOpKernels() {
+    static std::unordered_map<std::string, OpKernelMap> g_all_op_kernels;
+    return g_all_op_kernels;
+  };
 };
 
 }  // namespace framework
 }  // namespace paddle
+
+#define REGISTER_OP_KERNEL(type, PlaceType, KernelType)                   \
+  struct __op_kernel_register__##type##__ {                               \
+    __op_kernel_register__##type##__() {                                  \
+      ::paddle::framework::OperatorWithKernel::OpKernelKey key;           \
+      key.place_ = PlaceType();                                           \
+      ::paddle::framework::OperatorWithKernel::AllOpKernels()[#type][key] \
+          .reset(new KernelType());                                       \
+    }                                                                     \
+  };                                                                      \
+  static __op_kernel_register__##type##__ __reg_kernel_##type##__

paddle/framework/operator_test.cc

@@ -19,17 +19,15 @@ limitations under the License. */
 namespace paddle {
 namespace framework {
 
-class OperatorTest : public OperatorWithKernel {
+class OperatorTest : public OperatorBase {
  public:
-  void Run(const OpRunContext* ctx) const override {
-    float scale = ctx->op_->GetAttr<float>("scale");
-    PADDLE_ENFORCE(ctx->Input(0) == nullptr, "Input(0) should not initialized");
-    PADDLE_ENFORCE(ctx->Output(0) == nullptr,
-                   "Output(1) should not initialized");
-    auto output1 = ctx->scope_->CreateVariable("output1");
-    PADDLE_ENFORCE(output1 != nullptr, "should create output1 from scope");
-    printf("get attr %s = %f\n", "scale", scale);
-    printf("%s\n", DebugString().c_str());
+  void InferShape(const std::shared_ptr<Scope>& scope) const override {}
+  void Run(const std::shared_ptr<Scope>& scope,
+           const platform::DeviceContext& dev_ctx) const override {
+    float scale = GetAttr<float>("scale");
+    ASSERT_NEAR(scale, 3.14, 1e-5);
+    ASSERT_EQ(scope->GetVariable(inputs_[0]), nullptr);
+    ASSERT_NE(scope->GetVariable(outputs_[0]), nullptr);
   }
 };
 
@@ -47,34 +45,79 @@ class OperatorTestProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
   }
 };
 
-REGISTER_OP(OperatorTest, OperatorTestProtoAndCheckerMaker, test_operator)
+REGISTER_OP(test_operator, OperatorTest, OperatorTestProtoAndCheckerMaker);
 
-TEST(OperatorBase, DebugString) {
+TEST(OperatorBase, all) {
   OpDesc op_desc;
   op_desc.set_type("test_operator");
-  std::vector<std::string> inputs = {"IN1", "IN2"};
-  for (auto& input : inputs) {
-    op_desc.add_inputs(input);
-  }
-  std::vector<std::string> outputs = {"OUT1", "OUT2"};
-  for (auto& output : outputs) {
-    op_desc.add_outputs(output);
-  }
+  *op_desc.mutable_inputs()->Add() = "IN1";
+  *op_desc.mutable_outputs()->Add() = "OUT1";
   auto attr = op_desc.mutable_attrs()->Add();
   attr->set_name("scale");
   attr->set_type(paddle::framework::AttrType::FLOAT);
   float scale = 3.14;
   attr->set_f(scale);
 
-  DeviceContext device_context;
+  platform::CPUDeviceContext device_context;
   auto scope = std::make_shared<Scope>();
 
   OperatorBase* op = paddle::framework::OpRegistry::CreateOp(op_desc);
-  ASSERT_EQ(op->inputs_, inputs);
-  ASSERT_EQ(op->outputs_, outputs);
   ASSERT_EQ(op->GetAttr<float>("scale"), scale);
-  op->Run(scope, &device_context);
+  scope->CreateVariable("OUT1");
+  op->Run(scope, device_context);
+  std::cout << op->DebugString() << std::endl;
+  delete op;
 }
 
+class OpKernelTestProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
+ public:
+  OpKernelTestProtoAndCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
+      : OpProtoAndCheckerMaker(proto, op_checker) {
+    AddInput("input", "input of test op");
+    AddOutput("output", "output of test op");
+    AddAttr<float>("scale", "scale of cosine op")
+        .SetDefault(1.0)
+        .LargerThan(0.0);
+    AddType("test_operator");
+    AddComment("This is test op");
+  }
+};
+
+class OpWithKernelTest : public OperatorWithKernel {
+ public:
+  void InferShape(const std::shared_ptr<Scope>& scope) const override {}
+};
+
+class CPUKernelTest : public OpKernel {
+ public:
+  void Compute(const KernelContext& context) const {
+    float scale = context.op_.GetAttr<float>("scale");
+    ASSERT_NEAR(scale, 3.14, 1e-5);
+    std::cout << "this is cpu kernel" << std::endl;
+    std::cout << context.op_.DebugString() << std::endl;
+  }
+};
+
+REGISTER_OP(op_with_kernel, OpWithKernelTest, OpKernelTestProtoAndCheckerMaker);
+REGISTER_OP_KERNEL(op_with_kernel, platform::CPUPlace, CPUKernelTest);
+
+TEST(OpKernel, all) {
+  OpDesc op_desc;
+  op_desc.set_type("op_with_kernel");
+  *op_desc.mutable_inputs()->Add() = "IN1";
+  *op_desc.mutable_outputs()->Add() = "OUT1";
+  auto attr = op_desc.mutable_attrs()->Add();
+  attr->set_name("scale");
+  attr->set_type(paddle::framework::AttrType::FLOAT);
+  attr->set_f(3.14);
+
+  platform::CPUDeviceContext cpu_device_context;
+  auto scope = std::make_shared<Scope>();
+
+  OperatorBase* op = paddle::framework::OpRegistry::CreateOp(op_desc);
+  op->Run(scope, cpu_device_context);
+
+  delete op;
+}
 }  // namespace framework
 }  // namespace paddle
\ No newline at end of file

paddle/operators/.clang-format

----
-Language:        Cpp
-BasedOnStyle:  Google
-Standard:  Cpp11 
-...

paddle/operators/demo_op.h

-#pragma once
-
-#include "paddle/framework/op_registry.h"
-
-using namespace paddle::framework;
-
-namespace paddle {
-namespace operators {
-
-class CosineOp : public OperatorWithKernel {
- public:
-  void Run(const OpRunContext *context) const override {
-    printf("%s\n", DebugString().c_str());
-  }
-};
-
-class CosineOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
- public:
-  CosineOpProtoAndCheckerMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
-    AddInput("input", "input of cosine op");
-    AddOutput("output", "output of cosine op");
-    AddAttr<float>("scale", "scale of cosine op")
-        .SetDefault(1.0)
-        .LargerThan(0.0);
-    AddType("cos");
-    AddComment("This is cos op");
-  }
-};
-
-REGISTER_OP(CosineOp, CosineOpProtoAndCheckerMaker, cos_sim)
-
-class MyTestOp : public OperatorWithKernel {
- public:
-  void Run(const OpRunContext *context) const override {
-    printf("%s\n", DebugString().c_str());
-  }
-};
-
-class MyTestOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
- public:
-  MyTestOpProtoAndCheckerMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
-    AddInput("input", "input of cosine op");
-    AddOutput("output", "output of cosine op");
-    auto my_checker = [](int i) {
-      PADDLE_ENFORCE(i % 2 == 0, "'test_attr' must be even!");
-    };
-    AddAttr<int>("test_attr", "a simple test attribute")
-        .AddCustomChecker(my_checker);
-    AddType("my_test_op");
-    AddComment("This is my_test op");
-  }
-};
-
-REGISTER_OP(MyTestOp, MyTestOpProtoAndCheckerMaker, my_test_op)
-
-}  // namespace operators
-}  // namespace operators

paddle/platform/CMakeLists.txt

 add_subdirectory(dynload)
 
-nv_test(cuda_test SRCS cuda_test.cu DEPS dyload_cuda)
+nv_test(cuda_test SRCS cuda_test.cu)
 
 cc_library(place SRCS place.cc)
 cc_test(place_test SRCS place_test.cc DEPS place glog gflags)
+
 IF(WITH_GPU)
-    set(GPU_CTX_DEPS dyload_cuda dynamic_loader )
+    set(GPU_CTX_DEPS dynload_cuda dynamic_loader)
 ELSE()
     set(GPU_CTX_DEPS)
 ENDIF()

paddle/platform/device_context.cc

-#include <paddle/platform/device_context.h>
+/* 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. */
+
+#include "paddle/platform/device_context.h"
 
 namespace paddle {
 namespace platform {
-namespace dynload {
-namespace dummy {
-// Make DeviceContext A library.
-int DUMMY_VAR_FOR_DEV_CTX = 0;
 
-}  // namespace dummy
-}  // namespace dynload
+template <>
+Eigen::DefaultDevice* DeviceContext::get_eigen_device<Eigen::DefaultDevice>() {
+  return reinterpret_cast<CPUDeviceContext*>(this)->eigen_device();
+}
+
+#ifndef PADDLE_ONLY_CPU
+template <>
+Eigen::GpuDevice* DeviceContext::get_eigen_device<Eigen::GpuDevice>() {
+  return reinterpret_cast<CUDADeviceContext*>(this)->eigen_device();
+}
+#endif
+
 }  // namespace platform
-}  // namespace paddle
\ No newline at end of file
+}  // namespace paddle

paddle/platform/device_context.h

 /* 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.
@@ -22,8 +19,9 @@ limitations under the License. */
 #include "paddle/platform/dynload/curand.h"
 #define EIGEN_USE_GPU
 #endif
-#include "paddle/platform/place.h"
-#include "unsupported/Eigen/CXX11/Tensor"
+#include <paddle/platform/place.h>
+#include <memory>
+#include <unsupported/Eigen/CXX11/Tensor>
 
 namespace paddle {
 namespace platform {
@@ -31,9 +29,29 @@ namespace platform {
 class DeviceContext {
  public:
   virtual ~DeviceContext() {}
+  virtual Place GetPlace() const = 0;
+
+  template <typename DeviceType>
+  DeviceType* get_eigen_device();
 };
 
-class CPUDeviceContext : public DeviceContext {};
+class CPUDeviceContext : public DeviceContext {
+ public:
+  Eigen::DefaultDevice* eigen_device() {
+    if (!eigen_device_) {
+      eigen_device_.reset(new Eigen::DefaultDevice());
+    }
+    return eigen_device_.get();
+  }
+
+  Place GetPlace() const override {
+    Place retv = CPUPlace();
+    return retv;
+  }
+
+ private:
+  std::unique_ptr<Eigen::DefaultDevice> eigen_device_;
+};
 
 #ifndef PADDLE_ONLY_CPU
 
@@ -57,8 +75,13 @@ class CUDADeviceContext : public DeviceContext {
     GPUPlaceGuard guard(gpu_place_);
     paddle::platform::throw_on_error(cudaStreamCreate(&stream_),
                                      "cudaStreamCreate failed");
-    eigen_stream_ = new Eigen::CudaStreamDevice(&stream_);
-    eigen_device_ = new Eigen::GpuDevice(eigen_stream_);
+    eigen_stream_.reset(new Eigen::CudaStreamDevice(&stream_));
+    eigen_device_.reset(new Eigen::GpuDevice(eigen_stream_.get()));
+  }
+
+  Place GetPlace() const override {
+    Place retv = GPUPlace();
+    return retv;
   }
 
   void Wait() {
@@ -68,7 +91,7 @@ class CUDADeviceContext : public DeviceContext {
 
   cudaStream_t stream() { return stream_; }
 
-  Eigen::GpuDevice eigen_device() { return *eigen_device_; }
+  Eigen::GpuDevice* eigen_device() { return eigen_device_.get(); }
 
   cublasHandle_t cublas_handle() {
     if (!blas_handle_) {
@@ -133,10 +156,8 @@ class CUDADeviceContext : public DeviceContext {
                          rand_generator_) == CURAND_STATUS_SUCCESS,
                      "curandDestroyGenerator failed");
     }
-
-    delete eigen_stream_;
-    delete eigen_device_;
-
+    eigen_stream_.reset();
+    eigen_device_.reset();
     paddle::platform::throw_on_error(cudaStreamDestroy(stream_),
                                      "cudaStreamDestroy failed");
   }
@@ -145,8 +166,8 @@ class CUDADeviceContext : public DeviceContext {
   GPUPlace gpu_place_;
   cudaStream_t stream_;
 
-  Eigen::CudaStreamDevice* eigen_stream_;
-  Eigen::GpuDevice* eigen_device_;
+  std::unique_ptr<Eigen::CudaStreamDevice> eigen_stream_;
+  std::unique_ptr<Eigen::GpuDevice> eigen_device_;
 
   cublasHandle_t blas_handle_{nullptr};
 
@@ -155,6 +176,8 @@ class CUDADeviceContext : public DeviceContext {
   int random_seed_;
   curandGenerator_t rand_generator_{nullptr};
 };
+
 #endif
+
 }  // namespace platform
 }  // namespace paddle

paddle/platform/device_context_test.cc

@@ -15,13 +15,26 @@ limitations under the License. */
 #include "paddle/platform/device_context.h"
 #include "gtest/gtest.h"
 
-TEST(CUDADeviceContext, Init) {
+using DEVICE_GPU = Eigen::GpuDevice;
+TEST(Device, Init) {
+  int count = paddle::platform::GetDeviceCount();
+  for (int i = 0; i < count; i++) {
+    paddle::platform::DeviceContext* device_context =
+        new paddle::platform::CUDADeviceContext(i);
+    Eigen::GpuDevice* gpu_device =
+        device_context->template get_eigen_device<DEVICE_GPU>();
+    ASSERT_NE(nullptr, gpu_device);
+    delete device_context;
+  }
+}
+
+TEST(Device, CUDADeviceContext) {
   int count = paddle::platform::GetDeviceCount();
   for (int i = 0; i < count; i++) {
     paddle::platform::CUDADeviceContext* device_context =
         new paddle::platform::CUDADeviceContext(i);
-    Eigen::GpuDevice gpu_device = device_context->eigen_device();
-    ASSERT_NE(nullptr, gpu_device.stream());
+    Eigen::GpuDevice* gpu_device = device_context->eigen_device();
+    ASSERT_NE(nullptr, gpu_device);
     cudnnHandle_t cudnn_handle = device_context->cudnn_handle();
     ASSERT_NE(nullptr, cudnn_handle);
     cublasHandle_t cublas_handle = device_context->cublas_handle();

paddle/platform/dynload/CMakeLists.txt

 cc_library(dynamic_loader SRCS dynamic_loader.cc DEPS glog gflags)
-nv_library(dyload_cuda SRCS cublas.cc cudnn.cc curand.cc)
+nv_library(dynload_cuda SRCS cublas.cc cudnn.cc curand.cc)

paddle/pybind/pybind.cc

@@ -12,6 +12,7 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License. */
 
+#include <Python.h>
 #include <paddle/framework/scope.h>
 #include <pybind11/pybind11.h>
 
@@ -43,4 +44,4 @@ All parameter, weight, gradient are variables in Paddle.
            py::return_value_policy::reference);
 
   return m.ptr();
-}
\ No newline at end of file
+}