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4b5986bb
编写于
8月 14, 2018
作者:
T
tensor-tang
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电子邮件补丁
差异文件
enable fc op in normal case
上级
e133df60
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
7 addition
and
12 deletion
+7
-12
paddle/fluid/operators/CMakeLists.txt
paddle/fluid/operators/CMakeLists.txt
+0
-6
paddle/fluid/operators/fc_op.cc
paddle/fluid/operators/fc_op.cc
+7
-6
未找到文件。
paddle/fluid/operators/CMakeLists.txt
浏览文件 @
4b5986bb
...
...
@@ -295,12 +295,6 @@ op_library(channel_recv_op DEPS concurrency)
list
(
REMOVE_ITEM GENERAL_OPS
${
DEPS_OPS
}
)
# The fully connected layer is deleted when the WITH_MKLDNN flag is OFF
# Because the fully connected layer has only one MKLDNN's operator
if
(
NOT WITH_MKLDNN
)
list
(
REMOVE_ITEM GENERAL_OPS fc_op
)
endif
(
NOT WITH_MKLDNN
)
foreach
(
src
${
GENERAL_OPS
}
)
op_library
(
${
src
}
)
endforeach
()
...
...
paddle/fluid/operators/fc_op.cc
浏览文件 @
4b5986bb
...
...
@@ -14,6 +14,7 @@ limitations under the License. */
#include "paddle/fluid/operators/fc_op.h"
#include <vector>
#include "paddle/fluid/operators/math/blas.h"
DECLARE_int32
(
paddle_num_threads
);
...
...
@@ -127,13 +128,13 @@ class FCOpKernel : public framework::OpKernel<T> {
"It must use CPUPlace."
);
auto
input
=
ctx
.
Input
<
Tensor
>
(
"Input"
);
auto
w
=
ctx
.
Input
<
Tensor
>
(
"W"
);
auto
b
=
ctx
.
Input
<
Tensor
>
(
"Bias"
);
auto
b
ias
=
ctx
.
Input
<
Tensor
>
(
"Bias"
);
auto
output
=
ctx
.
Output
<
Tensor
>
(
"Out"
);
auto
in_dims
=
ctx
->
GetInputDim
(
"Input"
);
auto
w_dims
=
ctx
->
GetInputDim
(
"W"
);
auto
in_dims
=
input
->
dims
(
);
auto
w_dims
=
w
->
dims
(
);
auto
&
dev_ctx
=
ctx
.
template
device_context
<
CPUDeviceContext
>();
auto
blas
=
math
::
GetBlas
<
CPUDeviceContext
,
T
>
(
dev_ctx
);
auto
&
dev_ctx
=
ctx
.
template
device_context
<
platform
::
CPUDeviceContext
>();
auto
blas
=
math
::
GetBlas
<
platform
::
CPUDeviceContext
,
T
>
(
dev_ctx
);
const
T
*
input_data
=
input
->
data
<
T
>
();
const
T
*
w_data
=
w
->
data
<
T
>
();
T
*
output_data
=
output
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
...
...
@@ -147,7 +148,7 @@ class FCOpKernel : public framework::OpKernel<T> {
#pragma omp parallel for if (FLAGS_paddle_num_threads > 1)
for
(
int
bs
=
0
;
bs
<
in_dims
[
0
];
bs
++
)
{
blas
.
AXPY
(
w_dims
[
1
],
static_cast
<
T
>
(
1
),
bias_data
,
output_data
+
bs
*
w_dim
w
s
[
1
]);
output_data
+
bs
*
w_dims
[
1
]);
}
}
}
...
...
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