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体验新版 GitCode,发现更多精彩内容 >>
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84ded49d
编写于
2月 01, 2018
作者:
X
xzl
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
fix comments
上级
6e17babe
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
17 addition
and
8 deletion
+17
-8
paddle/operators/conv_op.h
paddle/operators/conv_op.h
+3
-0
paddle/operators/math/depthwise_conv.cu
paddle/operators/math/depthwise_conv.cu
+7
-4
paddle/operators/math/depthwise_conv.h
paddle/operators/math/depthwise_conv.h
+7
-4
未找到文件。
paddle/operators/conv_op.h
浏览文件 @
84ded49d
...
...
@@ -361,6 +361,9 @@ class DepthwiseConvKernel : public framework::OpKernel<T> {
Tensor
*
output
=
context
.
Output
<
Tensor
>
(
"Output"
);
output
->
mutable_data
<
T
>
(
context
.
GetPlace
());
PADDLE_ENFORCE_EQ
(
output
->
dims
()[
1
]
%
input
->
dims
()[
1
],
0
,
"The output channels must be a multiple of the input channels"
);
std
::
vector
<
int
>
strides
=
context
.
Attr
<
std
::
vector
<
int
>>
(
"strides"
);
std
::
vector
<
int
>
paddings
=
context
.
Attr
<
std
::
vector
<
int
>>
(
"paddings"
);
std
::
vector
<
int
>
dilations
=
context
.
Attr
<
std
::
vector
<
int
>>
(
"dilations"
);
...
...
paddle/operators/math/depthwise_conv.cu
浏览文件 @
84ded49d
...
...
@@ -203,8 +203,9 @@ class DepthwiseConvFunctor<platform::CUDADeviceContext, T> {
public:
void
operator
()(
const
platform
::
CUDADeviceContext
&
context
,
const
framework
::
Tensor
&
input
,
const
framework
::
Tensor
&
filter
,
std
::
vector
<
int
>&
strides
,
std
::
vector
<
int
>&
paddings
,
framework
::
Tensor
*
output
)
{
const
framework
::
Tensor
&
filter
,
const
std
::
vector
<
int
>&
strides
,
const
std
::
vector
<
int
>&
paddings
,
framework
::
Tensor
*
output
)
{
const
int
batch_size
=
input
.
dims
()[
0
];
const
int
input_channels
=
input
.
dims
()[
1
];
const
int
input_height
=
input
.
dims
()[
2
];
...
...
@@ -244,7 +245,8 @@ class DepthwiseConvInputGradFunctor<platform::CUDADeviceContext, T> {
const
framework
::
Tensor
&
input
,
const
framework
::
Tensor
&
filter
,
const
framework
::
Tensor
&
output_grad
,
std
::
vector
<
int
>&
strides
,
std
::
vector
<
int
>&
paddings
,
const
std
::
vector
<
int
>&
strides
,
const
std
::
vector
<
int
>&
paddings
,
framework
::
Tensor
*
input_grad
)
{
const
int
batch_size
=
input
.
dims
()[
0
];
const
int
input_channels
=
input
.
dims
()[
1
];
...
...
@@ -284,7 +286,8 @@ class DepthwiseConvFilterGradFunctor<platform::CUDADeviceContext, T> {
void
operator
()(
const
platform
::
CUDADeviceContext
&
context
,
const
framework
::
Tensor
&
input
,
const
framework
::
Tensor
&
output_grad
,
std
::
vector
<
int
>&
strides
,
std
::
vector
<
int
>&
paddings
,
const
std
::
vector
<
int
>&
strides
,
const
std
::
vector
<
int
>&
paddings
,
framework
::
Tensor
*
filter_grad
)
{
const
int
batch_size
=
input
.
dims
()[
0
];
const
int
input_channels
=
input
.
dims
()[
1
];
...
...
paddle/operators/math/depthwise_conv.h
浏览文件 @
84ded49d
...
...
@@ -29,8 +29,9 @@ template <typename DeviceContext, typename T>
class
DepthwiseConvFunctor
{
public:
void
operator
()(
const
DeviceContext
&
context
,
const
framework
::
Tensor
&
input
,
const
framework
::
Tensor
&
filter
,
std
::
vector
<
int
>&
strides
,
std
::
vector
<
int
>&
paddings
,
framework
::
Tensor
*
output
);
const
framework
::
Tensor
&
filter
,
const
std
::
vector
<
int
>&
strides
,
const
std
::
vector
<
int
>&
paddings
,
framework
::
Tensor
*
output
);
};
template
<
typename
DeviceContext
,
typename
T
>
...
...
@@ -39,7 +40,8 @@ class DepthwiseConvInputGradFunctor {
void
operator
()(
const
DeviceContext
&
context
,
const
framework
::
Tensor
&
input
,
const
framework
::
Tensor
&
filter
,
const
framework
::
Tensor
&
output_grad
,
std
::
vector
<
int
>&
strides
,
std
::
vector
<
int
>&
paddings
,
const
std
::
vector
<
int
>&
strides
,
const
std
::
vector
<
int
>&
paddings
,
framework
::
Tensor
*
input_grad
);
};
...
...
@@ -48,7 +50,8 @@ class DepthwiseConvFilterGradFunctor {
public:
void
operator
()(
const
DeviceContext
&
context
,
const
framework
::
Tensor
&
input
,
const
framework
::
Tensor
&
output_grad
,
std
::
vector
<
int
>&
strides
,
std
::
vector
<
int
>&
paddings
,
const
std
::
vector
<
int
>&
strides
,
const
std
::
vector
<
int
>&
paddings
,
framework
::
Tensor
*
filter_grad
);
};
...
...
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