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体验新版 GitCode,发现更多精彩内容 >>
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11487de9
编写于
4月 08, 2018
作者:
A
Abhinav Arora
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1 changed file
with
22 addition
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13 deletion
+22
-13
paddle/fluid/operators/activation_mkldnn_op.cc
paddle/fluid/operators/activation_mkldnn_op.cc
+22
-13
未找到文件。
paddle/fluid/operators/activation_mkldnn_op.cc
浏览文件 @
11487de9
...
...
@@ -40,20 +40,24 @@ void eltwise_forward(const ExecContext &ctx, mkldnn::algorithm algorithm,
const
T
*
dst_data
=
dst
->
template
mutable_data
<
T
>(
ctx
.
GetPlace
());
// get memory dim
PADDLE_ENFORCE
(
src
->
dims
().
size
()
==
4
,
"Input dim must be with
4, i.e. NCHW
"
);
PADDLE_ENFORCE
(
src
->
dims
().
size
()
==
2
||
src
->
dims
().
size
()
==
4
,
"Input dim must be with
2 or 4
"
);
std
::
vector
<
int
>
src_tz
=
framework
::
vectorize2int
(
src
->
dims
());
// create memory description
// TODO(kbinias-intel): support more formats
auto
data_md
=
platform
::
MKLDNNMemDesc
(
src_tz
,
mkldnn
::
memory
::
f32
,
mkldnn
::
memory
::
format
::
nchw
);
auto
data_md
=
src_tz
.
size
()
==
2
?
platform
::
MKLDNNMemDesc
(
src_tz
,
mkldnn
::
memory
::
f32
,
mkldnn
::
memory
::
format
::
nc
)
:
platform
::
MKLDNNMemDesc
(
src_tz
,
mkldnn
::
memory
::
f32
,
mkldnn
::
memory
::
format
::
nchw
);
// create memory primitives
auto
src_memory
=
mkldnn
::
memory
({
data_md
,
mkldnn_engine
},
static_cast
<
void
*>
(
src_data
));
mkldnn
::
memory
({
data_md
,
mkldnn_engine
},
static_cast
<
void
*>
(
const_cast
<
float
*>
(
src_data
)));
auto
dst_memory
=
mkldnn
::
memory
({
data_md
,
mkldnn_engine
},
static_cast
<
void
*>
(
dst_data
));
mkldnn
::
memory
({
data_md
,
mkldnn_engine
},
static_cast
<
void
*>
(
const_cast
<
float
*>
(
dst_data
)));
auto
forward_desc
=
mkldnn
::
eltwise_forward
::
desc
(
mkldnn
::
prop_kind
::
forward_training
,
algorithm
,
data_md
,
alpha
,
beta
);
...
...
@@ -93,16 +97,21 @@ void eltwise_grad(const ExecContext &ctx, mkldnn::algorithm algorithm,
std
::
vector
<
int
>
src_tz
=
framework
::
vectorize2int
(
x
->
dims
());
// create memory description
auto
data_md
=
platform
::
MKLDNNMemDesc
(
src_tz
,
mkldnn
::
memory
::
f32
,
mkldnn
::
memory
::
format
::
nchw
);
auto
data_md
=
src_tz
.
size
()
==
2
?
platform
::
MKLDNNMemDesc
(
src_tz
,
mkldnn
::
memory
::
f32
,
mkldnn
::
memory
::
format
::
nc
)
:
platform
::
MKLDNNMemDesc
(
src_tz
,
mkldnn
::
memory
::
f32
,
mkldnn
::
memory
::
format
::
nchw
);
// create memory primitives
auto
src_memory
=
mkldnn
::
memory
({
data_md
,
mkldnn_engine
},
static_cast
<
void
*>
(
src
));
auto
src_memory
=
mkldnn
::
memory
(
{
data_md
,
mkldnn_engine
},
static_cast
<
void
*>
(
const_cast
<
float
*>
(
src
)
));
auto
diff_src_memory
=
mkldnn
::
memory
({
data_md
,
mkldnn_engine
},
static_cast
<
void
*>
(
diff_src
));
mkldnn
::
memory
({
data_md
,
mkldnn_engine
},
static_cast
<
void
*>
(
const_cast
<
float
*>
(
diff_src
)));
auto
diff_dst_memory
=
mkldnn
::
memory
({
data_md
,
mkldnn_engine
},
static_cast
<
void
*>
(
diff_dst
));
mkldnn
::
memory
({
data_md
,
mkldnn_engine
},
static_cast
<
void
*>
(
const_cast
<
float
*>
(
diff_dst
)));
auto
backward_desc
=
mkldnn
::
eltwise_backward
::
desc
(
algorithm
,
data_md
,
data_md
,
alpha
,
beta
);
...
...
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