Skip to content

P
Paddle

机器未来 / Paddle
与 Fork 源项目一致

Fork自 PaddlePaddle / Paddle

通知 1
Star 1
Fork 0
P
Paddle
提交 c9641a03 编写于 作者: C chengduoZH
浏览文件
操作

refine code

上级 ed7e74ab
隐藏空白更改
内联 并排
Showing with 37 addition and 0 deletion
paddle/operators/conv_op.cc
浏览文件 @ c9641a03
...@@ -71,6 +71,12 @@ framework::OpKernelType ConvOp::GetExpectedKernelType( ...@@ -71,6 +71,12 @@ framework::OpKernelType ConvOp::GetExpectedKernelType(
const framework::ExecutionContext& ctx) const { const framework::ExecutionContext& ctx) const {
bool use_cudnn = ctx.Attr<bool>("use_cudnn"); bool use_cudnn = ctx.Attr<bool>("use_cudnn");
use_cudnn &= platform::is_gpu_place(ctx.GetPlace()); 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_; framework::LibraryType library_;
if (use_cudnn) { if (use_cudnn) {
library_ = framework::LibraryType::kCUDNN; library_ = framework::LibraryType::kCUDNN;
...@@ -285,6 +291,13 @@ framework::OpKernelType ConvOpGrad::GetExpectedKernelType( ...@@ -285,6 +291,13 @@ framework::OpKernelType ConvOpGrad::GetExpectedKernelType(
const framework::ExecutionContext& ctx) const { const framework::ExecutionContext& ctx) const {
bool use_cudnn = ctx.Attr<bool>("use_cudnn"); bool use_cudnn = ctx.Attr<bool>("use_cudnn");
use_cudnn &= platform::is_gpu_place(ctx.GetPlace()); 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_; framework::LibraryType library_;
if (use_cudnn) { if (use_cudnn) {
library_ = framework::LibraryType::kCUDNN; library_ = framework::LibraryType::kCUDNN;
......
paddle/operators/conv_transpose_op.cc
浏览文件 @ c9641a03
...@@ -62,6 +62,12 @@ framework::OpKernelType ConvTransposeOp::GetExpectedKernelType( ...@@ -62,6 +62,12 @@ framework::OpKernelType ConvTransposeOp::GetExpectedKernelType(
const framework::ExecutionContext& ctx) const { const framework::ExecutionContext& ctx) const {
bool use_cudnn = ctx.Attr<bool>("use_cudnn"); bool use_cudnn = ctx.Attr<bool>("use_cudnn");
use_cudnn &= platform::is_gpu_place(ctx.GetPlace()); 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_; framework::LibraryType library_;
if (use_cudnn) { if (use_cudnn) {
library_ = framework::LibraryType::kCUDNN; library_ = framework::LibraryType::kCUDNN;
...@@ -265,6 +271,12 @@ framework::OpKernelType ConvTransposeOpGrad::GetExpectedKernelType( ...@@ -265,6 +271,12 @@ framework::OpKernelType ConvTransposeOpGrad::GetExpectedKernelType(
const framework::ExecutionContext& ctx) const { const framework::ExecutionContext& ctx) const {
bool use_cudnn = ctx.Attr<bool>("use_cudnn"); bool use_cudnn = ctx.Attr<bool>("use_cudnn");
use_cudnn &= platform::is_gpu_place(ctx.GetPlace()); 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_; framework::LibraryType library_;
if (use_cudnn) { if (use_cudnn) {
library_ = framework::LibraryType::kCUDNN; library_ = framework::LibraryType::kCUDNN;
......
paddle/operators/pool_op.cc
浏览文件 @ c9641a03
...@@ -65,6 +65,12 @@ framework::OpKernelType PoolOp::GetExpectedKernelType( ...@@ -65,6 +65,12 @@ framework::OpKernelType PoolOp::GetExpectedKernelType(
const framework::ExecutionContext &ctx) const { const framework::ExecutionContext &ctx) const {
bool use_cudnn = ctx.Attr<bool>("use_cudnn"); bool use_cudnn = ctx.Attr<bool>("use_cudnn");
use_cudnn &= platform::is_gpu_place(ctx.GetPlace()); 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_; framework::LibraryType library_;
if (use_cudnn) { if (use_cudnn) {
library_ = framework::LibraryType::kCUDNN; library_ = framework::LibraryType::kCUDNN;
...@@ -90,6 +96,12 @@ framework::OpKernelType PoolOpGrad::GetExpectedKernelType( ...@@ -90,6 +96,12 @@ framework::OpKernelType PoolOpGrad::GetExpectedKernelType(
const framework::ExecutionContext &ctx) const { const framework::ExecutionContext &ctx) const {
bool use_cudnn = ctx.Attr<bool>("use_cudnn"); bool use_cudnn = ctx.Attr<bool>("use_cudnn");
use_cudnn &= platform::is_gpu_place(ctx.GetPlace()); 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_; framework::LibraryType library_;
if (use_cudnn) { if (use_cudnn) {
library_ = framework::LibraryType::kCUDNN; library_ = framework::LibraryType::kCUDNN;
......
Markdown is supported
0% 或 .
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 或