From c9641a03dc232862f9f8015f39fc11eb30d81693 Mon Sep 17 00:00:00 2001
From: chengduoZH <zhaochengduo@163.com>
Date: Wed, 17 Jan 2018 15:18:49 +0800
Subject: [PATCH] refine code

---
 paddle/operators/conv_op.cc           | 13 +++++++++++++
 paddle/operators/conv_transpose_op.cc | 12 ++++++++++++
 paddle/operators/pool_op.cc           | 12 ++++++++++++
 3 files changed, 37 insertions(+)

diff --git a/paddle/operators/conv_op.cc b/paddle/operators/conv_op.cc
index 0e8dddd7f..d6882b275 100644
--- a/paddle/operators/conv_op.cc
+++ b/paddle/operators/conv_op.cc
@@ -71,6 +71,12 @@ framework::OpKernelType ConvOp::GetExpectedKernelType(
     const framework::ExecutionContext& ctx) const {
   bool use_cudnn = ctx.Attr<bool>("use_cudnn");
   use_cudnn &= platform::is_gpu_place(ctx.GetPlace());
+#ifdef PADDLE_WITH_CUDA
+  if (platform::is_gpu_place(ctx.GetPlace())) {
+    auto& dev_ctx = ctx.template device_context<platform::CUDADeviceContext>();
+    use_cudnn &= dev_ctx.cudnn_handle() != nullptr;
+  }
+#endif
   framework::LibraryType library_;
   if (use_cudnn) {
     library_ = framework::LibraryType::kCUDNN;
@@ -285,6 +291,13 @@ framework::OpKernelType ConvOpGrad::GetExpectedKernelType(
     const framework::ExecutionContext& ctx) const {
   bool use_cudnn = ctx.Attr<bool>("use_cudnn");
   use_cudnn &= platform::is_gpu_place(ctx.GetPlace());
+#ifdef PADDLE_WITH_CUDA
+  if (platform::is_gpu_place(ctx.GetPlace())) {
+    auto& dev_ctx = ctx.template device_context<platform::CUDADeviceContext>();
+    use_cudnn &= dev_ctx.cudnn_handle() != nullptr;
+  }
+#endif
+
   framework::LibraryType library_;
   if (use_cudnn) {
     library_ = framework::LibraryType::kCUDNN;
diff --git a/paddle/operators/conv_transpose_op.cc b/paddle/operators/conv_transpose_op.cc
index f71838c2a..a2382a7e4 100644
--- a/paddle/operators/conv_transpose_op.cc
+++ b/paddle/operators/conv_transpose_op.cc
@@ -62,6 +62,12 @@ framework::OpKernelType ConvTransposeOp::GetExpectedKernelType(
     const framework::ExecutionContext& ctx) const {
   bool use_cudnn = ctx.Attr<bool>("use_cudnn");
   use_cudnn &= platform::is_gpu_place(ctx.GetPlace());
+#ifdef PADDLE_WITH_CUDA
+  if (platform::is_gpu_place(ctx.GetPlace())) {
+    auto& dev_ctx = ctx.template device_context<platform::CUDADeviceContext>();
+    use_cudnn &= dev_ctx.cudnn_handle() != nullptr;
+  }
+#endif
   framework::LibraryType library_;
   if (use_cudnn) {
     library_ = framework::LibraryType::kCUDNN;
@@ -265,6 +271,12 @@ framework::OpKernelType ConvTransposeOpGrad::GetExpectedKernelType(
     const framework::ExecutionContext& ctx) const {
   bool use_cudnn = ctx.Attr<bool>("use_cudnn");
   use_cudnn &= platform::is_gpu_place(ctx.GetPlace());
+#ifdef PADDLE_WITH_CUDA
+  if (platform::is_gpu_place(ctx.GetPlace())) {
+    auto& dev_ctx = ctx.template device_context<platform::CUDADeviceContext>();
+    use_cudnn &= dev_ctx.cudnn_handle() != nullptr;
+  }
+#endif
   framework::LibraryType library_;
   if (use_cudnn) {
     library_ = framework::LibraryType::kCUDNN;
diff --git a/paddle/operators/pool_op.cc b/paddle/operators/pool_op.cc
index a45027945..b97333bb1 100644
--- a/paddle/operators/pool_op.cc
+++ b/paddle/operators/pool_op.cc
@@ -65,6 +65,12 @@ framework::OpKernelType PoolOp::GetExpectedKernelType(
     const framework::ExecutionContext &ctx) const {
   bool use_cudnn = ctx.Attr<bool>("use_cudnn");
   use_cudnn &= platform::is_gpu_place(ctx.GetPlace());
+#ifdef PADDLE_WITH_CUDA
+  if (platform::is_gpu_place(ctx.GetPlace())) {
+    auto &dev_ctx = ctx.template device_context<platform::CUDADeviceContext>();
+    use_cudnn &= dev_ctx.cudnn_handle() != nullptr;
+  }
+#endif
   framework::LibraryType library_;
   if (use_cudnn) {
     library_ = framework::LibraryType::kCUDNN;
@@ -90,6 +96,12 @@ framework::OpKernelType PoolOpGrad::GetExpectedKernelType(
     const framework::ExecutionContext &ctx) const {
   bool use_cudnn = ctx.Attr<bool>("use_cudnn");
   use_cudnn &= platform::is_gpu_place(ctx.GetPlace());
+#ifdef PADDLE_WITH_CUDA
+  if (platform::is_gpu_place(ctx.GetPlace())) {
+    auto &dev_ctx = ctx.template device_context<platform::CUDADeviceContext>();
+    use_cudnn &= dev_ctx.cudnn_handle() != nullptr;
+  }
+#endif
   framework::LibraryType library_;
   if (use_cudnn) {
     library_ = framework::LibraryType::kCUDNN;
-- 
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