Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
PaddlePaddle
Paddle
提交
6ac42378
P
Paddle
项目概览
PaddlePaddle
/
Paddle
大约 1 年 前同步成功
通知
2299
Star
20931
Fork
5422
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
1423
列表
看板
标记
里程碑
合并请求
543
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
1,423
Issue
1,423
列表
看板
标记
里程碑
合并请求
543
合并请求
543
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
提交
6ac42378
编写于
11月 20, 2017
作者:
W
wanghaox
浏览文件
操作
浏览文件
下载
差异文件
Merge branch 'develop' of
https://github.com/PaddlePaddle/Paddle
into my_maxout_op
上级
76fc1a82
134eaf21
变更
14
隐藏空白更改
内联
并排
Showing
14 changed file
with
235 addition
and
180 deletion
+235
-180
paddle/operators/conv_cudnn_op.cc
paddle/operators/conv_cudnn_op.cc
+4
-3
paddle/operators/conv_cudnn_op.cu.cc
paddle/operators/conv_cudnn_op.cu.cc
+4
-2
paddle/operators/conv_transpose_cudnn_op.cc
paddle/operators/conv_transpose_cudnn_op.cc
+8
-4
paddle/operators/conv_transpose_cudnn_op.cu.cc
paddle/operators/conv_transpose_cudnn_op.cu.cc
+8
-4
paddle/operators/pool_cudnn_op.cc
paddle/operators/pool_cudnn_op.cc
+14
-2
paddle/operators/pool_cudnn_op.cu.cc
paddle/operators/pool_cudnn_op.cu.cc
+23
-4
paddle/operators/pool_op.cc
paddle/operators/pool_op.cc
+8
-4
paddle/operators/pool_op.cu.cc
paddle/operators/pool_op.cu.cc
+8
-4
paddle/operators/pool_with_index_op.cc
paddle/operators/pool_with_index_op.cc
+8
-4
paddle/operators/pool_with_index_op.cu.cc
paddle/operators/pool_with_index_op.cu.cc
+8
-4
paddle/platform/cudnn_helper.h
paddle/platform/cudnn_helper.h
+4
-2
paddle/platform/cudnn_helper_test.cc
paddle/platform/cudnn_helper_test.cc
+34
-0
python/paddle/v2/fluid/tests/test_pool2d_op.py
python/paddle/v2/fluid/tests/test_pool2d_op.py
+26
-108
python/paddle/v2/fluid/tests/test_pool3d_op.py
python/paddle/v2/fluid/tests/test_pool3d_op.py
+78
-35
未找到文件。
paddle/operators/conv_cudnn_op.cc
浏览文件 @
6ac42378
...
...
@@ -40,7 +40,8 @@ REGISTER_OP(conv_cudnn, ops::ConvOp, ops::CudnnConvOpMaker, conv_cudnn_grad,
ops
::
ConvOpGrad
);
REGISTER_OP_CPU_KERNEL
(
conv_cudnn
,
ops
::
GemmConvKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
ops
::
GemmConvKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
GemmConvKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
REGISTER_OP_CPU_KERNEL
(
conv_cudnn_grad
,
ops
::
GemmConvGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
conv_cudnn_grad
,
ops
::
GemmConvGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
GemmConvGradKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
paddle/operators/conv_cudnn_op.cu.cc
浏览文件 @
6ac42378
...
...
@@ -259,6 +259,8 @@ class CudnnConvGradOpKernel : public framework::OpKernel<T> {
}
// namespace operators
}
// namespace paddle
REGISTER_OP_GPU_KERNEL
(
conv_cudnn
,
paddle
::
operators
::
CudnnConvOpKernel
<
float
>
);
REGISTER_OP_GPU_KERNEL
(
conv_cudnn
,
paddle
::
operators
::
CudnnConvOpKernel
<
float
>
,
paddle
::
operators
::
CudnnConvOpKernel
<
double
>
);
REGISTER_OP_GPU_KERNEL
(
conv_cudnn_grad
,
paddle
::
operators
::
CudnnConvGradOpKernel
<
float
>
);
paddle
::
operators
::
CudnnConvGradOpKernel
<
float
>
,
paddle
::
operators
::
CudnnConvGradOpKernel
<
double
>
);
paddle/operators/conv_transpose_cudnn_op.cc
浏览文件 @
6ac42378
...
...
@@ -61,10 +61,12 @@ REGISTER_OP(conv2d_transpose_cudnn, ops::ConvTransposeOp,
REGISTER_OP_CPU_KERNEL
(
conv2d_transpose_cudnn
,
ops
::
GemmConvTransposeKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
ops
::
GemmConvTransposeKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
GemmConvTransposeKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
REGISTER_OP_CPU_KERNEL
(
conv2d_transpose_cudnn_grad
,
ops
::
GemmConvTransposeGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
ops
::
GemmConvTransposeGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
GemmConvTransposeGradKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
REGISTER_OP
(
conv3d_transpose_cudnn
,
ops
::
ConvTransposeOp
,
ops
::
CudnnConv3DTransposeOpMaker
,
conv3d_transpose_cudnn_grad
,
...
...
@@ -72,7 +74,9 @@ REGISTER_OP(conv3d_transpose_cudnn, ops::ConvTransposeOp,
REGISTER_OP_CPU_KERNEL
(
conv3d_transpose_cudnn
,
ops
::
GemmConvTransposeKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
ops
::
GemmConvTransposeKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
GemmConvTransposeKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
REGISTER_OP_CPU_KERNEL
(
conv3d_transpose_cudnn_grad
,
ops
::
GemmConvTransposeGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
ops
::
GemmConvTransposeGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
GemmConvTransposeGradKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
paddle/operators/conv_transpose_cudnn_op.cu.cc
浏览文件 @
6ac42378
...
...
@@ -235,11 +235,15 @@ class CudnnConvTransposeGradOpKernel : public framework::OpKernel<T> {
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_GPU_KERNEL
(
conv2d_transpose_cudnn
,
ops
::
CudnnConvTransposeOpKernel
<
float
>
);
ops
::
CudnnConvTransposeOpKernel
<
float
>
,
ops
::
CudnnConvTransposeOpKernel
<
double
>
);
REGISTER_OP_GPU_KERNEL
(
conv2d_transpose_cudnn_grad
,
ops
::
CudnnConvTransposeGradOpKernel
<
float
>
);
ops
::
CudnnConvTransposeGradOpKernel
<
float
>
,
ops
::
CudnnConvTransposeGradOpKernel
<
double
>
);
REGISTER_OP_GPU_KERNEL
(
conv3d_transpose_cudnn
,
ops
::
CudnnConvTransposeOpKernel
<
float
>
);
ops
::
CudnnConvTransposeOpKernel
<
float
>
,
ops
::
CudnnConvTransposeOpKernel
<
double
>
);
REGISTER_OP_GPU_KERNEL
(
conv3d_transpose_cudnn_grad
,
ops
::
CudnnConvTransposeGradOpKernel
<
float
>
);
ops
::
CudnnConvTransposeGradOpKernel
<
float
>
,
ops
::
CudnnConvTransposeGradOpKernel
<
double
>
);
paddle/operators/pool_cudnn_op.cc
浏览文件 @
6ac42378
...
...
@@ -20,6 +20,18 @@ REGISTER_OP(pool2d_cudnn, ops::PoolOp, ops::Pool2dOpMaker, pool2d_cudnn_grad,
ops
::
PoolOpGrad
);
REGISTER_OP_CPU_KERNEL
(
pool2d_cudnn
,
ops
::
PoolKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
ops
::
PoolKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
PoolKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
REGISTER_OP_CPU_KERNEL
(
pool2d_cudnn_grad
,
ops
::
PoolGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
)
ops
::
PoolGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
PoolGradKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
)
REGISTER_OP
(
pool3d_cudnn
,
ops
::
PoolOp
,
ops
::
Pool3dOpMaker
,
pool3d_cudnn_grad
,
ops
::
PoolOpGrad
);
REGISTER_OP_CPU_KERNEL
(
pool3d_cudnn
,
ops
::
PoolKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
PoolKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
REGISTER_OP_CPU_KERNEL
(
pool3d_cudnn_grad
,
ops
::
PoolGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
PoolGradKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
)
paddle/operators/pool_cudnn_op.cu.cc
浏览文件 @
6ac42378
...
...
@@ -52,7 +52,13 @@ class PoolCudnnOpKernel : public framework::OpKernel<T> {
ScopedTensorDescriptor
input_desc
;
ScopedTensorDescriptor
output_desc
;
ScopedPoolingDescriptor
pool_desc
;
DataLayout
layout
=
DataLayout
::
kNCHW
;
DataLayout
layout
;
if
(
strides
.
size
()
==
2U
)
{
layout
=
DataLayout
::
kNCHW
;
}
else
{
layout
=
DataLayout
::
kNCDHW
;
}
cudnnTensorDescriptor_t
cudnn_input_desc
=
input_desc
.
descriptor
<
T
>
(
layout
,
framework
::
vectorize2int
(
input
->
dims
()));
...
...
@@ -112,7 +118,13 @@ class PoolCudnnGradOpKernel : public framework::OpKernel<T> {
ScopedTensorDescriptor
input_desc
;
ScopedTensorDescriptor
output_desc
;
ScopedPoolingDescriptor
pool_desc
;
DataLayout
layout
=
DataLayout
::
kNCHW
;
DataLayout
layout
;
if
(
strides
.
size
()
==
2U
)
{
layout
=
DataLayout
::
kNCHW
;
}
else
{
layout
=
DataLayout
::
kNCDHW
;
}
cudnnTensorDescriptor_t
cudnn_input_desc
=
input_desc
.
descriptor
<
T
>
(
layout
,
framework
::
vectorize2int
(
input
->
dims
()));
...
...
@@ -150,5 +162,12 @@ class PoolCudnnGradOpKernel : public framework::OpKernel<T> {
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_GPU_KERNEL
(
pool2d_cudnn
,
ops
::
PoolCudnnOpKernel
<
float
>
);
REGISTER_OP_GPU_KERNEL
(
pool2d_cudnn_grad
,
ops
::
PoolCudnnGradOpKernel
<
float
>
);
REGISTER_OP_GPU_KERNEL
(
pool2d_cudnn
,
ops
::
PoolCudnnOpKernel
<
float
>
,
ops
::
PoolCudnnOpKernel
<
double
>
);
REGISTER_OP_GPU_KERNEL
(
pool2d_cudnn_grad
,
ops
::
PoolCudnnGradOpKernel
<
float
>
,
ops
::
PoolCudnnGradOpKernel
<
double
>
);
REGISTER_OP_GPU_KERNEL
(
pool3d_cudnn
,
ops
::
PoolCudnnOpKernel
<
float
>
,
ops
::
PoolCudnnOpKernel
<
double
>
);
REGISTER_OP_GPU_KERNEL
(
pool3d_cudnn_grad
,
ops
::
PoolCudnnGradOpKernel
<
float
>
,
ops
::
PoolCudnnGradOpKernel
<
double
>
);
paddle/operators/pool_op.cc
浏览文件 @
6ac42378
...
...
@@ -217,14 +217,18 @@ REGISTER_OP(pool2d, ops::PoolOp, ops::Pool2dOpMaker, pool2d_grad,
ops
::
PoolOpGrad
);
REGISTER_OP_CPU_KERNEL
(
pool2d
,
ops
::
PoolKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
ops
::
PoolKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
PoolKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
REGISTER_OP_CPU_KERNEL
(
pool2d_grad
,
ops
::
PoolGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
)
ops
::
PoolGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
PoolGradKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
)
REGISTER_OP
(
pool3d
,
ops
::
PoolOp
,
ops
::
Pool3dOpMaker
,
pool3d_grad
,
ops
::
PoolOpGrad
);
REGISTER_OP_CPU_KERNEL
(
pool3d
,
ops
::
PoolKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
ops
::
PoolKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
PoolKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
REGISTER_OP_CPU_KERNEL
(
pool3d_grad
,
ops
::
PoolGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
ops
::
PoolGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
PoolGradKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
paddle/operators/pool_op.cu.cc
浏览文件 @
6ac42378
...
...
@@ -17,11 +17,15 @@ limitations under the License. */
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_GPU_KERNEL
(
pool2d
,
ops
::
PoolKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
);
ops
::
PoolKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
,
ops
::
PoolKernel
<
paddle
::
platform
::
GPUPlace
,
double
>
);
REGISTER_OP_GPU_KERNEL
(
pool2d_grad
,
ops
::
PoolGradKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
);
ops
::
PoolGradKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
,
ops
::
PoolGradKernel
<
paddle
::
platform
::
GPUPlace
,
double
>
);
REGISTER_OP_GPU_KERNEL
(
pool3d
,
ops
::
PoolKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
);
ops
::
PoolKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
,
ops
::
PoolKernel
<
paddle
::
platform
::
GPUPlace
,
double
>
);
REGISTER_OP_GPU_KERNEL
(
pool3d_grad
,
ops
::
PoolGradKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
);
ops
::
PoolGradKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
,
ops
::
PoolGradKernel
<
paddle
::
platform
::
GPUPlace
,
double
>
);
paddle/operators/pool_with_index_op.cc
浏览文件 @
6ac42378
...
...
@@ -250,10 +250,12 @@ REGISTER_OP(max_pool2d_with_index, ops::MaxPoolWithIndexOp,
REGISTER_OP_CPU_KERNEL
(
max_pool2d_with_index
,
ops
::
MaxPoolWithIndexKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
ops
::
MaxPoolWithIndexKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
MaxPoolWithIndexKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
REGISTER_OP_CPU_KERNEL
(
max_pool2d_with_index_grad
,
ops
::
MaxPoolWithIndexGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
)
ops
::
MaxPoolWithIndexGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
MaxPoolWithIndexGradKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
)
REGISTER_OP
(
max_pool3d_with_index
,
ops
::
MaxPoolWithIndexOp
,
ops
::
MaxPool3dWithIndexOpMaker
,
max_pool3d_with_index_grad
,
...
...
@@ -261,7 +263,9 @@ REGISTER_OP(max_pool3d_with_index, ops::MaxPoolWithIndexOp,
REGISTER_OP_CPU_KERNEL
(
max_pool3d_with_index
,
ops
::
MaxPoolWithIndexKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
ops
::
MaxPoolWithIndexKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
MaxPoolWithIndexKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
REGISTER_OP_CPU_KERNEL
(
max_pool3d_with_index_grad
,
ops
::
MaxPoolWithIndexGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
)
ops
::
MaxPoolWithIndexGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
MaxPoolWithIndexGradKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
)
paddle/operators/pool_with_index_op.cu.cc
浏览文件 @
6ac42378
...
...
@@ -18,14 +18,18 @@ namespace ops = paddle::operators;
REGISTER_OP_GPU_KERNEL
(
max_pool2d_with_index
,
ops
::
MaxPoolWithIndexKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
);
ops
::
MaxPoolWithIndexKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
,
ops
::
MaxPoolWithIndexKernel
<
paddle
::
platform
::
GPUPlace
,
double
>
);
REGISTER_OP_GPU_KERNEL
(
max_pool2d_with_index_grad
,
ops
::
MaxPoolWithIndexGradKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
)
ops
::
MaxPoolWithIndexGradKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
,
ops
::
MaxPoolWithIndexGradKernel
<
paddle
::
platform
::
GPUPlace
,
double
>
)
REGISTER_OP_GPU_KERNEL
(
max_pool3d_with_index
,
ops
::
MaxPoolWithIndexKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
);
ops
::
MaxPoolWithIndexKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
,
ops
::
MaxPoolWithIndexKernel
<
paddle
::
platform
::
GPUPlace
,
double
>
);
REGISTER_OP_GPU_KERNEL
(
max_pool3d_with_index_grad
,
ops
::
MaxPoolWithIndexGradKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
)
ops
::
MaxPoolWithIndexGradKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
,
ops
::
MaxPoolWithIndexGradKernel
<
paddle
::
platform
::
GPUPlace
,
double
>
)
paddle/platform/cudnn_helper.h
浏览文件 @
6ac42378
...
...
@@ -224,13 +224,15 @@ class ScopedConvolutionDescriptor {
PADDLE_ENFORCE_EQ
(
pads
.
size
(),
strides
.
size
());
PADDLE_ENFORCE_EQ
(
pads
.
size
(),
dilations
.
size
());
#if
CUDNN_VERSION < 6000
#if
!CUDNN_VERSION_MIN(6, 0, 0)
// cudnn v5 does not support dilation conv, the argument is called upscale
// instead of dilations and it is must be one.
for
(
size_t
i
=
0
;
i
<
dilations
.
size
();
++
i
)
{
PADDLE_ENFORCE_EQ
(
dilations
[
i
],
1
,
"Dilations conv is not supported in this cuDNN version"
);
"Dilations conv is not supported in this cuDNN version(%d.%d.%d)."
,
CUDNN_VERSION
/
1000
,
CUDNN_VERSION
%
1000
/
100
,
CUDNN_VERSION
%
100
);
}
#endif
...
...
paddle/platform/cudnn_helper_test.cc
浏览文件 @
6ac42378
...
...
@@ -38,6 +38,26 @@ TEST(CudnnHelper, ScopedTensorDescriptor) {
EXPECT_EQ
(
strides
[
2
],
6
);
EXPECT_EQ
(
strides
[
1
],
36
);
EXPECT_EQ
(
strides
[
0
],
144
);
// test tensor5d: ScopedTensorDescriptor
ScopedTensorDescriptor
tensor5d_desc
;
std
::
vector
<
int
>
shape_5d
=
{
2
,
4
,
6
,
6
,
6
};
auto
desc_5d
=
tensor5d_desc
.
descriptor
<
float
>
(
DataLayout
::
kNCDHW
,
shape_5d
);
std
::
vector
<
int
>
dims_5d
(
5
);
std
::
vector
<
int
>
strides_5d
(
5
);
paddle
::
platform
::
dynload
::
cudnnGetTensorNdDescriptor
(
desc_5d
,
5
,
&
type
,
&
nd
,
dims_5d
.
data
(),
strides_5d
.
data
());
EXPECT_EQ
(
nd
,
5
);
for
(
size_t
i
=
0
;
i
<
dims_5d
.
size
();
++
i
)
{
EXPECT_EQ
(
dims_5d
[
i
],
shape_5d
[
i
]);
}
EXPECT_EQ
(
strides_5d
[
4
],
1
);
EXPECT_EQ
(
strides_5d
[
3
],
6
);
EXPECT_EQ
(
strides_5d
[
2
],
36
);
EXPECT_EQ
(
strides_5d
[
1
],
216
);
EXPECT_EQ
(
strides_5d
[
0
],
864
);
}
TEST
(
CudnnHelper
,
ScopedFilterDescriptor
)
{
...
...
@@ -60,6 +80,20 @@ TEST(CudnnHelper, ScopedFilterDescriptor) {
for
(
size_t
i
=
0
;
i
<
shape
.
size
();
++
i
)
{
EXPECT_EQ
(
kernel
[
i
],
shape
[
i
]);
}
ScopedFilterDescriptor
filter_desc_4d
;
std
::
vector
<
int
>
shape_4d
=
{
2
,
3
,
3
,
3
};
auto
desc_4d
=
filter_desc
.
descriptor
<
float
>
(
DataLayout
::
kNCDHW
,
shape_4d
);
std
::
vector
<
int
>
kernel_4d
(
4
);
paddle
::
platform
::
dynload
::
cudnnGetFilterNdDescriptor
(
desc_4d
,
4
,
&
type
,
&
format
,
&
nd
,
kernel_4d
.
data
());
EXPECT_EQ
(
GetCudnnTensorFormat
(
DataLayout
::
kNCHW
),
format
);
EXPECT_EQ
(
nd
,
4
);
for
(
size_t
i
=
0
;
i
<
shape_4d
.
size
();
++
i
)
{
EXPECT_EQ
(
kernel_4d
[
i
],
shape_4d
[
i
]);
}
}
TEST
(
CudnnHelper
,
ScopedConvolutionDescriptor
)
{
...
...
python/paddle/v2/fluid/tests/test_pool2d_op.py
浏览文件 @
6ac42378
...
...
@@ -3,8 +3,7 @@ import numpy as np
from
op_test
import
OpTest
def
max_pool2D_forward_naive
(
x
,
ksize
,
strides
,
paddings
=
[
0
,
0
],
global_pool
=
0
):
def
max_pool2D_forward_naive
(
x
,
ksize
,
strides
,
paddings
,
global_pool
=
0
):
N
,
C
,
H
,
W
=
x
.
shape
if
global_pool
==
1
:
ksize
=
[
H
,
W
]
...
...
@@ -23,8 +22,7 @@ def max_pool2D_forward_naive(x, ksize, strides, paddings=[0, 0], global_pool=0):
return
out
def
avg_pool2D_forward_naive
(
x
,
ksize
,
strides
,
paddings
=
[
0
,
0
],
global_pool
=
0
):
def
avg_pool2D_forward_naive
(
x
,
ksize
,
strides
,
paddings
,
global_pool
=
0
):
N
,
C
,
H
,
W
=
x
.
shape
if
global_pool
==
1
:
ksize
=
[
H
,
W
]
...
...
@@ -47,6 +45,7 @@ def avg_pool2D_forward_naive(x, ksize, strides, paddings=[0, 0], global_pool=0):
class
TestPool2d_Op
(
OpTest
):
def
setUp
(
self
):
self
.
init_test_case
()
self
.
init_global_pool
()
self
.
init_op_type
()
self
.
init_pool_type
()
if
self
.
global_pool
:
...
...
@@ -75,8 +74,6 @@ class TestPool2d_Op(OpTest):
self
.
check_grad
(
set
([
'X'
]),
'Out'
,
max_relative_error
=
0.07
)
def
init_test_case
(
self
):
self
.
global_pool
=
True
self
.
pool2D_forward_naive
=
avg_pool2D_forward_naive
self
.
shape
=
[
2
,
3
,
5
,
5
]
self
.
ksize
=
[
3
,
3
]
self
.
strides
=
[
1
,
1
]
...
...
@@ -87,12 +84,14 @@ class TestPool2d_Op(OpTest):
def
init_pool_type
(
self
):
self
.
pool_type
=
"avg"
self
.
pool2D_forward_naive
=
avg_pool2D_forward_naive
def
init_global_pool
(
self
):
self
.
global_pool
=
True
class
TestCase1
(
TestPool2d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
False
self
.
pool2D_forward_naive
=
avg_pool2D_forward_naive
self
.
shape
=
[
2
,
3
,
7
,
7
]
self
.
ksize
=
[
3
,
3
]
self
.
strides
=
[
1
,
1
]
...
...
@@ -103,12 +102,14 @@ class TestCase1(TestPool2d_Op):
def
init_pool_type
(
self
):
self
.
pool_type
=
"avg"
self
.
pool2D_forward_naive
=
avg_pool2D_forward_naive
def
init_global_pool
(
self
):
self
.
global_pool
=
False
class
TestCase2
(
TestPool2d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
False
self
.
pool2D_forward_naive
=
avg_pool2D_forward_naive
self
.
shape
=
[
2
,
3
,
7
,
7
]
self
.
ksize
=
[
3
,
3
]
self
.
strides
=
[
1
,
1
]
...
...
@@ -119,152 +120,69 @@ class TestCase2(TestPool2d_Op):
def
init_pool_type
(
self
):
self
.
pool_type
=
"avg"
self
.
pool2D_forward_naive
=
avg_pool2D_forward_naive
def
init_global_pool
(
self
):
self
.
global_pool
=
False
class
TestCase3
(
TestPool2d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
True
self
.
pool2D_forward_naive
=
max_pool2D_forward_naive
self
.
shape
=
[
2
,
3
,
5
,
5
]
self
.
ksize
=
[
3
,
3
]
self
.
strides
=
[
1
,
1
]
self
.
paddings
=
[
0
,
0
]
class
TestCase3
(
TestPool2d_Op
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool2d"
def
init_pool_type
(
self
):
self
.
pool_type
=
"max"
class
TestCase4
(
TestPool2d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
False
self
.
pool2D_forward_naive
=
max_pool2D_forward_naive
self
.
shape
=
[
2
,
3
,
7
,
7
]
self
.
ksize
=
[
3
,
3
]
self
.
strides
=
[
1
,
1
]
self
.
paddings
=
[
0
,
0
]
class
TestCase4
(
TestCase1
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool2d"
def
init_pool_type
(
self
):
self
.
pool_type
=
"max"
class
TestCase5
(
TestPool2d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
False
self
.
pool2D_forward_naive
=
max_pool2D_forward_naive
self
.
shape
=
[
2
,
3
,
7
,
7
]
self
.
ksize
=
[
3
,
3
]
self
.
strides
=
[
1
,
1
]
self
.
paddings
=
[
1
,
1
]
class
TestCase5
(
TestCase2
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool2d"
def
init_pool_type
(
self
):
self
.
pool_type
=
"max"
self
.
pool2D_forward_naive
=
max_pool2D_forward_naive
#--------------------test pool2d_cudnn--------------------
class
TestCaseCudnn1
(
TestPool2d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
True
self
.
pool2D_forward_naive
=
avg_pool2D_forward_naive
self
.
shape
=
[
2
,
3
,
5
,
5
]
self
.
ksize
=
[
3
,
3
]
self
.
strides
=
[
1
,
1
]
self
.
paddings
=
[
0
,
0
]
class
TestCudnnCase1
(
TestPool2d_Op
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool2d_cudnn"
def
init_pool_type
(
self
):
self
.
pool_type
=
"avg"
class
TestCaseCudnn2
(
TestPool2d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
False
self
.
pool2D_forward_naive
=
avg_pool2D_forward_naive
self
.
shape
=
[
2
,
3
,
7
,
7
]
self
.
ksize
=
[
3
,
3
]
self
.
strides
=
[
1
,
1
]
self
.
paddings
=
[
0
,
0
]
class
TestCudnnCase2
(
TestCase1
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool2d_cudnn"
def
init_pool_type
(
self
):
self
.
pool_type
=
"avg"
class
TestCaseCudnn3
(
TestPool2d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
False
self
.
pool2D_forward_naive
=
avg_pool2D_forward_naive
self
.
shape
=
[
2
,
3
,
7
,
7
]
self
.
ksize
=
[
3
,
3
]
self
.
strides
=
[
1
,
1
]
self
.
paddings
=
[
1
,
1
]
class
TestCudnnCase3
(
TestCase2
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool2d_cudnn"
def
init_pool_type
(
self
):
self
.
pool_type
=
"avg"
class
TestCaseCudnn4
(
TestPool2d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
True
self
.
pool2D_forward_naive
=
max_pool2D_forward_naive
self
.
shape
=
[
2
,
3
,
5
,
5
]
self
.
ksize
=
[
3
,
3
]
self
.
strides
=
[
1
,
1
]
self
.
paddings
=
[
0
,
0
]
class
TestCudnnCase4
(
TestCase3
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool2d_cudnn"
def
init_pool_type
(
self
):
self
.
pool_type
=
"max"
class
TestCaseCudnn5
(
TestPool2d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
False
self
.
pool2D_forward_naive
=
max_pool2D_forward_naive
self
.
shape
=
[
2
,
3
,
7
,
7
]
self
.
ksize
=
[
3
,
3
]
self
.
strides
=
[
1
,
1
]
self
.
paddings
=
[
0
,
0
]
class
TestCudnnCase5
(
TestCase4
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool2d_cudnn"
def
init_pool_type
(
self
):
self
.
pool_type
=
"max"
class
TestCaseCudnn6
(
TestPool2d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
False
self
.
pool2D_forward_naive
=
max_pool2D_forward_naive
self
.
shape
=
[
2
,
3
,
7
,
7
]
self
.
ksize
=
[
3
,
3
]
self
.
strides
=
[
1
,
1
]
self
.
paddings
=
[
1
,
1
]
class
TestCudnnCase6
(
TestCase5
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool2d_cudnn"
def
init_pool_type
(
self
):
self
.
pool_type
=
"max"
if
__name__
==
'__main__'
:
unittest
.
main
()
python/paddle/v2/fluid/tests/test_pool3d_op.py
浏览文件 @
6ac42378
...
...
@@ -3,8 +3,7 @@ import numpy as np
from
op_test
import
OpTest
def
max_pool3D_forward_naive
(
x
,
ksize
,
strides
,
paddings
=
[
0
,
0
],
global_pool
=
0
):
def
max_pool3D_forward_naive
(
x
,
ksize
,
strides
,
paddings
,
global_pool
=
0
):
N
,
C
,
D
,
H
,
W
=
x
.
shape
if
global_pool
==
1
:
ksize
=
[
D
,
H
,
W
]
...
...
@@ -27,8 +26,7 @@ def max_pool3D_forward_naive(x, ksize, strides, paddings=[0, 0], global_pool=0):
return
out
def
avg_pool3D_forward_naive
(
x
,
ksize
,
strides
,
paddings
=
[
0
,
0
],
global_pool
=
0
):
def
avg_pool3D_forward_naive
(
x
,
ksize
,
strides
,
paddings
,
global_pool
=
0
):
N
,
C
,
D
,
H
,
W
=
x
.
shape
if
global_pool
==
1
:
ksize
=
[
D
,
H
,
W
]
...
...
@@ -55,6 +53,10 @@ def avg_pool3D_forward_naive(x, ksize, strides, paddings=[0, 0], global_pool=0):
class
TestPool3d_Op
(
OpTest
):
def
setUp
(
self
):
self
.
init_test_case
()
self
.
init_global_pool
()
self
.
init_op_type
()
self
.
init_pool_type
()
if
self
.
global_pool
:
self
.
paddings
=
[
0
for
_
in
range
(
len
(
self
.
paddings
))]
input
=
np
.
random
.
random
(
self
.
shape
).
astype
(
"float32"
)
...
...
@@ -81,74 +83,115 @@ class TestPool3d_Op(OpTest):
self
.
check_grad
(
set
([
'X'
]),
'Out'
,
max_relative_error
=
0.07
)
def
init_test_case
(
self
):
self
.
global_pool
=
True
self
.
op_type
=
"pool3d"
self
.
pool_type
=
"avg"
self
.
pool3D_forward_naive
=
avg_pool3D_forward_naive
self
.
shape
=
[
2
,
3
,
5
,
5
,
5
]
self
.
ksize
=
[
3
,
3
,
3
]
self
.
strides
=
[
1
,
1
,
1
]
self
.
paddings
=
[
0
,
0
,
0
]
def
init_op_type
(
self
):
self
.
op_type
=
"pool3d"
def
init_pool_type
(
self
):
self
.
pool_type
=
"avg"
self
.
pool3D_forward_naive
=
avg_pool3D_forward_naive
def
init_global_pool
(
self
):
self
.
global_pool
=
True
class
TestCase1
(
TestPool3d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
False
self
.
op_type
=
"pool3d"
self
.
pool_type
=
"avg"
self
.
pool3D_forward_naive
=
avg_pool3D_forward_naive
self
.
shape
=
[
2
,
3
,
7
,
7
,
7
]
self
.
ksize
=
[
3
,
3
,
3
]
self
.
strides
=
[
1
,
1
,
1
]
self
.
paddings
=
[
0
,
0
,
0
]
class
TestCase2
(
TestPool3d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
False
def
init_op_type
(
self
):
self
.
op_type
=
"pool3d"
def
init_pool_type
(
self
):
self
.
pool_type
=
"avg"
self
.
pool3D_forward_naive
=
avg_pool3D_forward_naive
def
init_global_pool
(
self
):
self
.
global_pool
=
False
class
TestCase2
(
TestPool3d_Op
):
def
init_test_case
(
self
):
self
.
shape
=
[
2
,
3
,
7
,
7
,
7
]
self
.
ksize
=
[
3
,
3
,
3
]
self
.
strides
=
[
1
,
1
,
1
]
self
.
paddings
=
[
1
,
1
,
1
]
def
init_op_type
(
self
):
self
.
op_type
=
"pool3d"
def
init_pool_type
(
self
):
self
.
pool_type
=
"avg"
self
.
pool3D_forward_naive
=
avg_pool3D_forward_naive
def
init_global_pool
(
self
):
self
.
global_pool
=
False
class
TestCase3
(
TestPool3d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
True
def
init_op_type
(
self
):
self
.
op_type
=
"pool3d"
def
init_pool_type
(
self
):
self
.
pool_type
=
"max"
self
.
pool3D_forward_naive
=
max_pool3D_forward_naive
self
.
shape
=
[
2
,
3
,
5
,
5
,
5
]
self
.
ksize
=
[
3
,
3
,
3
]
self
.
strides
=
[
1
,
1
,
1
]
self
.
paddings
=
[
0
,
0
,
0
]
class
TestCase4
(
TestPool3d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
False
class
TestCase4
(
TestCase1
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool3d"
def
init_pool_type
(
self
):
self
.
pool_type
=
"max"
self
.
pool3D_forward_naive
=
max_pool3D_forward_naive
self
.
shape
=
[
2
,
3
,
7
,
7
,
7
]
self
.
ksize
=
[
3
,
3
,
3
]
self
.
strides
=
[
1
,
1
,
1
]
self
.
paddings
=
[
0
,
0
,
0
]
class
TestCase5
(
TestPool3d_Op
):
def
init_test_case
(
self
):
self
.
global_pool
=
False
class
TestCase5
(
TestCase2
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool3d"
def
init_pool_type
(
self
):
self
.
pool_type
=
"max"
self
.
pool3D_forward_naive
=
max_pool3D_forward_naive
self
.
shape
=
[
2
,
3
,
7
,
7
,
7
]
self
.
ksize
=
[
3
,
3
,
3
]
self
.
strides
=
[
1
,
1
,
1
]
self
.
paddings
=
[
1
,
1
,
1
]
#--------------------test pool3d_cudnn--------------------
class
TestCudnnCase1
(
TestPool3d_Op
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool3d_cudnn"
class
TestCudnnCase2
(
TestCase1
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool3d_cudnn"
class
TestCudnnCase3
(
TestCase2
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool3d_cudnn"
class
TestCudnnCase4
(
TestCase3
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool3d_cudnn"
class
TestCudnnCase5
(
TestCase4
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool3d_cudnn"
class
TestCudnnCase6
(
TestCase5
):
def
init_op_type
(
self
):
self
.
op_type
=
"pool3d_cudnn"
if
__name__
==
'__main__'
:
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录