code refine

test=develop

paddle/fluid/operators/cudnn_lstm_op.cc

@@ -12,12 +12,8 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License. */
 
-#include "paddle/fluid/operators/cudnn_lstm_op.h"
 #include <string>
-
-#ifdef PADDLE_WITH_CUDA
-#include "paddle/fluid/platform/cudnn_helper.h"
-#endif
+#include "paddle/fluid/framework/op_registry.h"
 
 namespace paddle {
 namespace operators {
@@ -201,18 +197,22 @@ class CudnnLSTMGradOp : public framework::OperatorWithKernel {
   }
 };
 
+template <typename T>
+class NotImpleKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+    PADDLE_THROW(
+        "CPU is not support for this kernel now. Will be add in the future");
+  }
+};
+
 }  // namespace operators
 }  // namespace paddle
 
 namespace ops = paddle::operators;
 REGISTER_OPERATOR(cudnn_lstm, ops::CudnnLSTMOp, ops::CudnnLSTMOpMaker,
                   paddle::framework::DefaultGradOpDescMaker<true>);
-REGISTER_OPERATOR(lstm_cudnn_grad, ops::CudnnLSTMGradOp);
-
-REGISTER_OP_CPU_KERNEL(
-    cudnn_lstm,
-    ops::CudnnLSTMKernel<paddle::platform::CPUDeviceContext, float>);
+REGISTER_OPERATOR(cudnn_lstm_grad, ops::CudnnLSTMGradOp);
 
-REGISTER_OP_CPU_KERNEL(
-    lstm_cudnn_grad,
-    ops::CudnnLSTMGradKernel<paddle::platform::CPUDeviceContext, float>);
+REGISTER_OP_CPU_KERNEL(cudnn_lstm, ops::NotImpleKernel<float>);
+REGISTER_OP_CPU_KERNEL(cudnn_lstm_grad, ops::NotImpleKernel<float>);

paddle/fluid/operators/cudnn_lstm_op.cu.cc

@@ -12,7 +12,8 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License. */
 
-#include "paddle/fluid/operators/cudnn_lstm_op.h"
+#include "paddle/fluid/framework/op_registry.h"
+#include "paddle/fluid/operators/math/math_function.h"
 #include "paddle/fluid/platform/cudnn_helper.h"
 
 namespace paddle {
@@ -246,7 +247,7 @@ struct CudnnRNNCache {
   }
 };
 
-template <typename DeviceContext, typename T>
+template <typename T>
 class CudnnLSTMGPUKernel : public framework::OpKernel<T> {
  public:
   void Compute(const framework::ExecutionContext &ctx) const override {
@@ -343,7 +344,7 @@ class CudnnLSTMGPUKernel : public framework::OpKernel<T> {
   }
 };
 
-template <typename DeviceContext, typename T>
+template <typename T>
 class CudnnLSTMGPUGradKernel : public framework::OpKernel<T> {
  public:
   void Compute(const framework::ExecutionContext &ctx) const override {
@@ -380,7 +381,7 @@ class CudnnLSTMGPUGradKernel : public framework::OpKernel<T> {
     auto init_c_dims = init_c->dims();
     in_grad->mutable_data<T>(ctx.GetPlace());
     weight_grad->mutable_data<T>(ctx.GetPlace());
-    math::SetConstant<DeviceContext, T> zero;
+    math::SetConstant<paddle::platform::CUDADeviceContext, T> zero;
     zero(dev_ctx, in_grad, static_cast<T>(0.0));
     zero(dev_ctx, weight_grad, static_cast<T>(0.0));
 
@@ -486,9 +487,5 @@ class CudnnLSTMGPUGradKernel : public framework::OpKernel<T> {
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-REGISTER_OP_CUDA_KERNEL(
-    cudnn_lstm,
-    ops::CudnnLSTMGPUKernel<paddle::platform::CUDADeviceContext, float>);
-REGISTER_OP_CUDA_KERNEL(
-    cudnn_lstm_grad,
-    ops::CudnnLSTMGPUGradKernel<paddle::platform::CUDADeviceContext, float>);
+REGISTER_OP_CUDA_KERNEL(cudnn_lstm, ops::CudnnLSTMGPUKernel<float>);
+REGISTER_OP_CUDA_KERNEL(cudnn_lstm_grad, ops::CudnnLSTMGPUGradKernel<float>);

paddle/fluid/operators/cudnn_lstm_op.h

-/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License. */
-
-#pragma once
-#include <string>
-#include "paddle/fluid/framework/op_registry.h"
-#include "paddle/fluid/operators/math/blas.h"
-#include "paddle/fluid/operators/math/detail/activation_functions.h"
-#include "paddle/fluid/operators/math/lstm_compute.h"
-#include "paddle/fluid/operators/math/sequence2batch.h"
-
-namespace paddle {
-namespace operators {
-
-using LoDTensor = framework::LoDTensor;
-using Tensor = framework::Tensor;
-
-template <typename DeviceContext, typename T>
-class CudnnLSTMKernel : public framework::OpKernel<T> {
- public:
-  void Compute(const framework::ExecutionContext& ctx) const override {
-    PADDLE_THROW(
-        "CPU is not support for this kernel now. Will be add in the future");
-  }
-};
-
-template <typename DeviceContext, typename T>
-class CudnnLSTMGradKernel : public framework::OpKernel<T> {
- public:
-  void Compute(const framework::ExecutionContext& ctx) const override {}
-};
-
-}  // namespace operators
-}  // namespace paddle