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7611208a
编写于
6月 04, 2019
作者:
B
baojun
提交者:
tensor-tang
6月 04, 2019
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电子邮件补丁
差异文件
[NGraph] added gather_grad to ngraph test=develop (#17646)
上级
557452e7
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
20 addition
and
23 deletion
+20
-23
paddle/fluid/operators/ngraph/ops/gather_op.h
paddle/fluid/operators/ngraph/ops/gather_op.h
+20
-23
未找到文件。
paddle/fluid/operators/ngraph/ops/gather_op.h
浏览文件 @
7611208a
/* Copyright (c) 201
8
PaddlePaddle Authors. All Rights Reserved.
/* Copyright (c) 201
9
PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
you may not use this file except in compliance with the License.
...
@@ -33,33 +33,30 @@ void BuildGatherNode(
...
@@ -33,33 +33,30 @@ void BuildGatherNode(
std
::
unordered_map
<
std
::
string
,
std
::
shared_ptr
<
ngraph
::
Node
>>>
std
::
unordered_map
<
std
::
string
,
std
::
shared_ptr
<
ngraph
::
Node
>>>
ngb_node_map
)
{
ngb_node_map
)
{
auto
x
=
platform
::
GetInputNode
(
op
,
"X"
,
ngb_node_map
);
auto
x
=
platform
::
GetInputNode
(
op
,
"X"
,
ngb_node_map
);
PADDLE_ENFORCE_NOT_NULL
(
x
);
auto
index
=
platform
::
GetInputNode
(
op
,
"Index"
,
ngb_node_map
);
auto
index
=
platform
::
GetInputNode
(
op
,
"Index"
,
ngb_node_map
);
auto
x_shape
=
x
->
get_shape
();
auto
out
=
std
::
make_shared
<
ngraph
::
op
::
Gather
>
(
x
,
index
);
size_t
axis_1
=
x_shape
[
0
];
size_t
axis_2
=
1
;
if
(
x_shape
.
size
()
>
1
)
{
axis_2
=
std
::
accumulate
(
std
::
begin
(
x_shape
)
+
1
,
std
::
end
(
x_shape
),
1
,
std
::
multiplies
<
size_t
>
());
}
std
::
vector
<
size_t
>
x_order
(
x_shape
.
size
());
std
::
iota
(
std
::
begin
(
x_order
),
std
::
end
(
x_order
),
0
);
auto
x_reshape
=
std
::
make_shared
<
ngraph
::
op
::
Reshape
>
(
x
,
ngraph
::
AxisVector
(
x_order
),
ngraph
::
Shape
{
axis_1
,
axis_2
});
auto
x_reshape_shape
=
x_reshape
->
get_shape
();
auto
result
=
std
::
make_shared
<
ngraph
::
op
::
EmbeddingLookup
>
(
index
,
x_reshape
);
auto
result_shape
=
result
->
get_shape
();
std
::
vector
<
size_t
>
out_shape
(
x_shape
);
out_shape
[
0
]
=
result_shape
[
0
];
std
::
vector
<
size_t
>
axis_vector
;
for
(
size_t
i
=
0
;
i
<
result_shape
.
size
();
i
++
)
{
axis_vector
.
push_back
(
i
);
}
auto
out
=
std
::
make_shared
<
ngraph
::
op
::
Reshape
>
(
result
,
ngraph
::
AxisVector
(
axis_vector
),
out_shape
);
paddle
::
platform
::
SetOutputNode
(
op
,
"Out"
,
out
,
ngb_node_map
);
paddle
::
platform
::
SetOutputNode
(
op
,
"Out"
,
out
,
ngb_node_map
);
}
}
void
BuildGatherGradNode
(
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
dout
=
platform
::
GetInputNode
(
op
,
"Out@GRAD"
,
ngb_node_map
);
PADDLE_ENFORCE_NOT_NULL
(
dout
);
auto
x
=
platform
::
GetInputNode
(
op
,
"X"
,
ngb_node_map
);
auto
index
=
platform
::
GetInputNode
(
op
,
"Index"
,
ngb_node_map
);
std
::
shared_ptr
<
ngraph
::
Node
>
x0
=
paddle
::
platform
::
CreateConstant
(
dout
->
get_element_type
(),
x
->
get_shape
(),
{
0
});
auto
dx
=
std
::
make_shared
<
ngraph
::
op
::
ScatterAdd
>
(
x0
,
index
,
dout
);
paddle
::
platform
::
SetOutputNode
(
op
,
"X@GRAD"
,
dx
,
ngb_node_map
);
}
}
// namespace ngraphs
}
// namespace ngraphs
}
// namespace operators
}
// namespace operators
}
// namespace paddle
}
// namespace paddle
REGISTER_NG_OP
(
gather
,
BuildGatherNode
);
REGISTER_NG_OP
(
gather
,
BuildGatherNode
);
REGISTER_NG_OP
(
gather_grad
,
BuildGatherGradNode
);
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