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体验新版 GitCode,发现更多精彩内容 >>
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90eae0b3
编写于
5月 30, 2019
作者:
B
baojun
提交者:
tensor-tang
5月 31, 2019
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差异文件
[NGraph] Addded slice op to ngraph test=develop (#17648)
上级
2fbaa5c0
变更
2
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2 changed file
with
133 addition
and
0 deletion
+133
-0
paddle/fluid/operators/ngraph/ops/slice_op.h
paddle/fluid/operators/ngraph/ops/slice_op.h
+111
-0
python/paddle/fluid/tests/unittests/ngraph/test_slice_ngraph_op.py
...ddle/fluid/tests/unittests/ngraph/test_slice_ngraph_op.py
+22
-0
未找到文件。
paddle/fluid/operators/ngraph/ops/slice_op.h
0 → 100644
浏览文件 @
90eae0b3
/*Copyright (c) 2019 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 <algorithm>
#include <memory>
#include <string>
#include <unordered_map>
#include <vector>
#include "ngraph/ngraph.hpp"
#include "paddle/fluid/operators/ngraph/ops/op_bridge.h"
#include "paddle/fluid/platform/ngraph_helper.h"
namespace
paddle
{
namespace
operators
{
namespace
ngraphs
{
void
BuildSliceNode
(
const
std
::
shared_ptr
<
framework
::
OperatorBase
>&
op
,
std
::
shared_ptr
<
std
::
unordered_map
<
std
::
string
,
std
::
shared_ptr
<
ngraph
::
Node
>>>
ngb_node_map
)
{
auto
input
=
paddle
::
platform
::
GetInputNode
(
op
,
"Input"
,
ngb_node_map
);
auto
input_shape
=
input
->
get_shape
();
auto
op_attrs
=
framework
::
AttrReader
(
op
->
Attrs
());
auto
axes
=
op_attrs
.
Get
<
std
::
vector
<
int
>>
(
"axes"
);
auto
starts
=
op_attrs
.
Get
<
std
::
vector
<
int
>>
(
"starts"
);
auto
ends
=
op_attrs
.
Get
<
std
::
vector
<
int
>>
(
"ends"
);
ngraph
::
Coordinate
ng_start
,
ng_end
;
int
axis
,
start
,
end
;
for
(
size_t
i
=
0
;
i
<
input_shape
.
size
();
++
i
)
{
ng_start
.
push_back
(
0
);
ng_end
.
push_back
(
input_shape
[
i
]);
}
for
(
size_t
i
=
0
;
i
<
axes
.
size
();
++
i
)
{
axis
=
input_shape
[
axes
[
i
]];
start
=
starts
[
i
]
<
0
?
(
starts
[
i
]
+
axis
)
:
starts
[
i
];
end
=
ends
[
i
]
<
0
?
(
ends
[
i
]
+
axis
)
:
ends
[
i
];
start
=
std
::
max
(
start
,
0
);
end
=
std
::
max
(
end
,
0
);
start
=
std
::
min
(
start
,
axis
);
end
=
std
::
min
(
end
,
axis
);
start
=
std
::
min
(
start
,
end
);
ng_start
[
axes
[
i
]]
=
start
;
ng_end
[
axes
[
i
]]
=
end
;
}
auto
out
=
std
::
make_shared
<
ngraph
::
op
::
Slice
>
(
input
,
ng_start
,
ng_end
);
platform
::
SetOutputNode
(
op
,
"Out"
,
out
,
ngb_node_map
);
}
void
BuildSliceGradNode
(
const
std
::
shared_ptr
<
framework
::
OperatorBase
>&
op
,
std
::
shared_ptr
<
std
::
unordered_map
<
std
::
string
,
std
::
shared_ptr
<
ngraph
::
Node
>>>
ngb_node_map
)
{
auto
input
=
paddle
::
platform
::
GetInputNode
(
op
,
"Input"
,
ngb_node_map
);
auto
input_shape
=
input
->
get_shape
();
auto
dout
=
paddle
::
platform
::
GetInputNode
(
op
,
"Out@GRAD"
,
ngb_node_map
);
auto
op_attrs
=
framework
::
AttrReader
(
op
->
Attrs
());
auto
axes
=
op_attrs
.
Get
<
std
::
vector
<
int
>>
(
"axes"
);
auto
starts
=
op_attrs
.
Get
<
std
::
vector
<
int
>>
(
"starts"
);
auto
ends
=
op_attrs
.
Get
<
std
::
vector
<
int
>>
(
"ends"
);
auto
reshape
=
input_shape
;
ngraph
::
Coordinate
ng_start
,
ng_end
;
int
axis
,
start
,
end
;
for
(
size_t
i
=
0
;
i
<
input_shape
.
size
();
++
i
)
{
ng_start
.
push_back
(
0
);
ng_end
.
push_back
(
input_shape
[
i
]);
}
for
(
size_t
i
=
0
;
i
<
axes
.
size
();
++
i
)
{
axis
=
input_shape
[
axes
[
i
]];
start
=
starts
[
i
]
<
0
?
(
starts
[
i
]
+
axis
)
:
starts
[
i
];
end
=
ends
[
i
]
<
0
?
(
ends
[
i
]
+
axis
)
:
ends
[
i
];
start
=
std
::
max
(
start
,
0
);
end
=
std
::
max
(
end
,
0
);
start
=
std
::
min
(
start
,
axis
);
end
=
std
::
min
(
end
,
axis
);
start
=
std
::
min
(
start
,
end
);
ng_start
[
axes
[
i
]]
=
start
;
ng_end
[
axes
[
i
]]
=
end
;
reshape
[
axes
[
i
]]
=
end
-
start
;
}
std
::
vector
<
size_t
>
axisVec
(
dout
->
get_shape
().
size
());
std
::
iota
(
axisVec
.
begin
(),
axisVec
.
end
(),
0
);
auto
dout_reshape
=
std
::
make_shared
<
ngraph
::
op
::
Reshape
>
(
dout
,
ngraph
::
AxisVector
(
axisVec
),
reshape
);
std
::
shared_ptr
<
ngraph
::
Node
>
input0
=
paddle
::
platform
::
CreateConstant
(
dout
->
get_element_type
(),
input_shape
,
{
0
});
auto
din
=
std
::
make_shared
<
ngraph
::
op
::
ReplaceSlice
>
(
input0
,
dout_reshape
,
ng_start
,
ng_end
);
platform
::
SetOutputNode
(
op
,
"Input@GRAD"
,
din
,
ngb_node_map
);
}
}
// namespace ngraphs
}
// namespace operators
}
// namespace paddle
REGISTER_NG_OP
(
slice
,
BuildSliceNode
);
REGISTER_NG_OP
(
slice_grad
,
BuildSliceGradNode
);
python/paddle/fluid/tests/unittests/ngraph/test_slice_ngraph_op.py
0 → 100644
浏览文件 @
90eae0b3
# Copyright (c) 2019 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_slice_op
import
TestSliceOp
,
TestCase1
,
TestCase2
if
__name__
==
'__main__'
:
unittest
.
main
()
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