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0d4cbdad
编写于
5月 23, 2019
作者:
M
mozga-intel
提交者:
tensor-tang
5月 24, 2019
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差异文件
[NGraph] Enable elementwise mul operator (#17552)
上级
cee9dcc3
变更
2
隐藏空白更改
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Showing
2 changed file
with
133 addition
and
0 deletion
+133
-0
paddle/fluid/operators/ngraph/ops/elementwise_mul_op.h
paddle/fluid/operators/ngraph/ops/elementwise_mul_op.h
+111
-0
python/paddle/fluid/tests/unittests/ngraph/test_elementwise_mul_ngraph_op.py
.../tests/unittests/ngraph/test_elementwise_mul_ngraph_op.py
+22
-0
未找到文件。
paddle/fluid/operators/ngraph/ops/elementwise_mul_op.h
0 → 100644
浏览文件 @
0d4cbdad
/*Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#include <memory>
#include <string>
#include <unordered_map>
#include <vector>
#include "ngraph/ngraph.hpp"
#include "paddle/fluid/operators/ngraph/ops/elementwise_node.h"
#include "paddle/fluid/operators/ngraph/ops/op_bridge.h"
#include "paddle/fluid/platform/ngraph_helper.h"
namespace
paddle
{
namespace
operators
{
namespace
ngraphs
{
void
BuildElementwiseMulNode
(
const
std
::
shared_ptr
<
paddle
::
framework
::
OperatorBase
>&
op
,
std
::
shared_ptr
<
std
::
unordered_map
<
std
::
string
,
std
::
shared_ptr
<
ngraph
::
Node
>>>
ngb_node_map
)
{
BuildElementwiseBinaryNode
<
ngraph
::
op
::
Multiply
>
(
op
,
ngb_node_map
);
}
void
BuildElementwiseMulGradNode
(
const
std
::
shared_ptr
<
paddle
::
framework
::
OperatorBase
>&
op
,
std
::
shared_ptr
<
std
::
unordered_map
<
std
::
string
,
std
::
shared_ptr
<
ngraph
::
Node
>>>
ngb_node_map
)
{
auto
op_attrs
=
paddle
::
framework
::
AttrReader
(
op
->
Attrs
());
int
axis
=
op_attrs
.
Get
<
int
>
(
"axis"
);
auto
dout
=
paddle
::
platform
::
GetInputNode
(
op
,
"Out@GRAD"
,
ngb_node_map
);
auto
y
=
paddle
::
platform
::
GetInputNode
(
op
,
"Y"
,
ngb_node_map
);
auto
x
=
paddle
::
platform
::
GetInputNode
(
op
,
"X"
,
ngb_node_map
);
auto
dout_shape
=
dout
->
get_shape
();
auto
y_shape
=
y
->
get_shape
();
auto
x_shape
=
x
->
get_shape
();
if
(
dout
->
get_element_type
()
!=
y
->
get_element_type
())
{
y
=
std
::
make_shared
<
ngraph
::
op
::
Convert
>
(
y
,
dout
->
get_element_type
());
}
if
(
dout_shape
==
y_shape
)
{
auto
dx
=
std
::
make_shared
<
ngraph
::
op
::
Multiply
>
(
dout
,
y
);
auto
dy
=
std
::
make_shared
<
ngraph
::
op
::
Multiply
>
(
dout
,
x
);
paddle
::
platform
::
SetOutputNode
(
op
,
"X@GRAD"
,
dx
,
ngb_node_map
);
paddle
::
platform
::
SetOutputNode
(
op
,
"Y@GRAD"
,
dy
,
ngb_node_map
);
}
else
{
auto
dy_hd
=
std
::
make_shared
<
ngraph
::
op
::
Multiply
>
(
dout
,
x
);
auto
dy_hd_shape
=
dy_hd
->
get_shape
();
axis
=
(
axis
==
-
1
?
dy_hd_shape
.
size
()
-
y_shape
.
size
()
:
axis
);
paddle
::
platform
::
TrimTrailingSingularDims
(
&
y_shape
);
axis
=
(
y_shape
.
size
()
==
0
?
dy_hd_shape
.
size
()
:
axis
);
int
pre
,
n
,
post
;
paddle
::
platform
::
GetMidDims
(
dy_hd_shape
,
y_shape
,
axis
,
&
pre
,
&
n
,
&
post
);
ngraph
::
Shape
lhs_shape
{};
lhs_shape
.
push_back
(
pre
);
lhs_shape
.
push_back
(
n
);
if
(
post
!=
1
)
{
lhs_shape
.
push_back
(
post
);
}
std
::
vector
<
size_t
>
dy_order
(
dout_shape
.
size
());
std
::
iota
(
std
::
begin
(
dy_order
),
std
::
end
(
dy_order
),
0
);
auto
dy_hd_reshape
=
std
::
make_shared
<
ngraph
::
op
::
Reshape
>
(
dy_hd
,
ngraph
::
AxisVector
(
dy_order
),
lhs_shape
);
ngraph
::
AxisSet
axis_set
{
0
};
if
(
post
!=
1
)
{
axis_set
.
insert
(
2
);
}
auto
dy_sum
=
std
::
make_shared
<
ngraph
::
op
::
Sum
>
(
dy_hd_reshape
,
axis_set
);
auto
dy_sum_yshape
=
std
::
make_shared
<
ngraph
::
op
::
Reshape
>
(
dy_sum
,
ngraph
::
AxisVector
{
0
},
y
->
get_shape
());
paddle
::
platform
::
SetOutputNode
(
op
,
"Y@GRAD"
,
dy_sum_yshape
,
ngb_node_map
);
y_shape
=
y
->
get_shape
();
std
::
vector
<
size_t
>
y_order
(
y_shape
.
size
()
==
0
?
1
:
y_shape
.
size
());
std
::
iota
(
std
::
begin
(
y_order
),
std
::
end
(
y_order
),
0
);
auto
y_reshape
=
std
::
make_shared
<
ngraph
::
op
::
Reshape
>
(
y
,
ngraph
::
AxisVector
(
y_order
),
ngraph
::
Shape
{(
size_t
)
n
});
auto
y_broadcast
=
std
::
make_shared
<
ngraph
::
op
::
Broadcast
>
(
y_reshape
,
lhs_shape
,
axis_set
);
std
::
vector
<
size_t
>
lhs_order
(
lhs_shape
.
size
());
std
::
iota
(
std
::
begin
(
lhs_order
),
std
::
end
(
lhs_order
),
0
);
auto
y_broadcast_reshape
=
std
::
make_shared
<
ngraph
::
op
::
Reshape
>
(
y_broadcast
,
ngraph
::
AxisVector
(
lhs_order
),
dout_shape
);
auto
dx
=
std
::
make_shared
<
ngraph
::
op
::
Multiply
>
(
y_broadcast_reshape
,
dout
);
paddle
::
platform
::
SetOutputNode
(
op
,
"X@GRAD"
,
dx
,
ngb_node_map
);
}
}
}
// namespace ngraphs
}
// namespace operators
}
// namespace paddle
REGISTER_NG_OP
(
elementwise_mul
,
BuildElementwiseMulNode
);
REGISTER_NG_OP
(
elementwise_mul_grad
,
BuildElementwiseMulGradNode
);
python/paddle/fluid/tests/unittests/ngraph/test_elementwise_mul_ngraph_op.py
0 → 100644
浏览文件 @
0d4cbdad
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from
__future__
import
print_function
import
unittest
,
sys
sys
.
path
.
append
(
"../"
)
from
test_elementwise_mul_op
import
TestElementwiseMulOp_scalar
,
TestElementwiseMulOp_Vector
,
TestElementwiseMulOp_broadcast_0
,
TestElementwiseMulOp_broadcast_1
,
TestElementwiseMulOp_broadcast_2
,
TestElementwiseMulOp_broadcast_3
if
__name__
==
'__main__'
:
unittest
.
main
()
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