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5aac910b
编写于
6月 20, 2018
作者:
L
Luo Tao
浏览文件
操作
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电子邮件补丁
差异文件
add url of cuda9.0_cudnn7_avx_mkl library
上级
25241e9e
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
17 addition
and
30 deletion
+17
-30
doc/fluid/howto/inference/build_and_install_lib_cn.rst
doc/fluid/howto/inference/build_and_install_lib_cn.rst
+1
-0
paddle/fluid/operators/batch_norm_mkldnn_op.cc
paddle/fluid/operators/batch_norm_mkldnn_op.cc
+0
-14
paddle/fluid/operators/batch_norm_op.cc
paddle/fluid/operators/batch_norm_op.cc
+0
-16
paddle/fluid/operators/batch_norm_op.h
paddle/fluid/operators/batch_norm_op.h
+16
-0
未找到文件。
doc/fluid/howto/inference/build_and_install_lib_cn.rst
浏览文件 @
5aac910b
...
...
@@ -13,6 +13,7 @@ cpu_noavx_openblas `fluid.tgz <https://guest:@paddleci.ngrok.io/repository
cuda7.5_cudnn5_avx_mkl `fluid.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda75cudnn5cp27cp27mu/.lastSuccessful/fluid.tgz>`_
cuda8.0_cudnn5_avx_mkl `fluid.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda80cudnn5cp27cp27mu/.lastSuccessful/fluid.tgz>`_
cuda8.0_cudnn7_avx_mkl `fluid.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda8cudnn7cp27cp27mu/.lastSuccessful/fluid.tgz>`_
cuda9.0_cudnn7_avx_mkl `fluid.tgz <https://guest:@paddleci.ngrok.io/repository/download/Manylinux1_Cuda90cudnn7avxMkl/.lastSuccessful/fluid.tgz>`_
====================== ========================================
从源码编译
...
...
paddle/fluid/operators/batch_norm_mkldnn_op.cc
浏览文件 @
5aac910b
...
...
@@ -21,8 +21,6 @@ namespace operators {
using
batch_norm_bwd
=
mkldnn
::
batch_normalization_backward
;
using
batch_norm_fwd
=
mkldnn
::
batch_normalization_forward
;
using
framework
::
DataLayout
;
using
framework
::
Tensor
;
using
mkldnn
::
memory
;
using
mkldnn
::
primitive
;
using
mkldnn
::
reorder
;
...
...
@@ -31,18 +29,6 @@ using paddle::platform::MKLDNNDeviceContext;
using
paddle
::
platform
::
MKLDNNMemDesc
;
using
platform
::
to_void_cast
;
template
<
typename
T
>
using
EigenArrayMap
=
Eigen
::
Map
<
Eigen
::
Array
<
T
,
Eigen
::
Dynamic
,
Eigen
::
Dynamic
>>
;
template
<
typename
T
>
using
ConstEigenArrayMap
=
Eigen
::
Map
<
const
Eigen
::
Array
<
T
,
Eigen
::
Dynamic
,
Eigen
::
Dynamic
>>
;
template
<
typename
T
>
using
EigenVectorArrayMap
=
Eigen
::
Map
<
Eigen
::
Array
<
T
,
Eigen
::
Dynamic
,
1
>>
;
template
<
typename
T
>
using
ConstEigenVectorArrayMap
=
Eigen
::
Map
<
const
Eigen
::
Array
<
T
,
Eigen
::
Dynamic
,
1
>>
;
namespace
{
template
<
typename
T
>
struct
bn_type_traits
{
...
...
paddle/fluid/operators/batch_norm_op.cc
浏览文件 @
5aac910b
...
...
@@ -22,22 +22,6 @@ limitations under the License. */
namespace
paddle
{
namespace
operators
{
using
Tensor
=
framework
::
Tensor
;
using
LoDTensor
=
framework
::
LoDTensor
;
using
DataLayout
=
framework
::
DataLayout
;
template
<
typename
T
>
using
EigenArrayMap
=
Eigen
::
Map
<
Eigen
::
Array
<
T
,
Eigen
::
Dynamic
,
Eigen
::
Dynamic
>>
;
template
<
typename
T
>
using
ConstEigenArrayMap
=
Eigen
::
Map
<
const
Eigen
::
Array
<
T
,
Eigen
::
Dynamic
,
Eigen
::
Dynamic
>>
;
template
<
typename
T
>
using
EigenVectorArrayMap
=
Eigen
::
Map
<
Eigen
::
Array
<
T
,
Eigen
::
Dynamic
,
1
>>
;
template
<
typename
T
>
using
ConstEigenVectorArrayMap
=
Eigen
::
Map
<
const
Eigen
::
Array
<
T
,
Eigen
::
Dynamic
,
1
>>
;
class
BatchNormOp
:
public
framework
::
OperatorWithKernel
{
public:
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
...
...
paddle/fluid/operators/batch_norm_op.h
浏览文件 @
5aac910b
...
...
@@ -19,6 +19,22 @@ limitations under the License. */
namespace
paddle
{
namespace
operators
{
using
Tensor
=
framework
::
Tensor
;
using
LoDTensor
=
framework
::
LoDTensor
;
using
DataLayout
=
framework
::
DataLayout
;
template
<
typename
T
>
using
EigenArrayMap
=
Eigen
::
Map
<
Eigen
::
Array
<
T
,
Eigen
::
Dynamic
,
Eigen
::
Dynamic
>>
;
template
<
typename
T
>
using
ConstEigenArrayMap
=
Eigen
::
Map
<
const
Eigen
::
Array
<
T
,
Eigen
::
Dynamic
,
Eigen
::
Dynamic
>>
;
template
<
typename
T
>
using
EigenVectorArrayMap
=
Eigen
::
Map
<
Eigen
::
Array
<
T
,
Eigen
::
Dynamic
,
1
>>
;
template
<
typename
T
>
using
ConstEigenVectorArrayMap
=
Eigen
::
Map
<
const
Eigen
::
Array
<
T
,
Eigen
::
Dynamic
,
1
>>
;
template
<
typename
DeviceContext
,
typename
T
>
class
BatchNormKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
...
...
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