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901d5389
编写于
7月 12, 2018
作者:
Q
qiaolongfei
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差异文件
Merge branch 'develop' of
https://github.com/PaddlePaddle/Paddle
into fix-mac-patchelf-check
上级
d6005b69
092d6201
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
317 addition
and
0 deletion
+317
-0
paddle/fluid/operators/CMakeLists.txt
paddle/fluid/operators/CMakeLists.txt
+1
-0
paddle/fluid/operators/squeeze_op.cc
paddle/fluid/operators/squeeze_op.cc
+202
-0
python/paddle/fluid/tests/unittests/test_squeeze_op.py
python/paddle/fluid/tests/unittests/test_squeeze_op.py
+114
-0
未找到文件。
paddle/fluid/operators/CMakeLists.txt
浏览文件 @
901d5389
...
...
@@ -265,6 +265,7 @@ op_library(recurrent_op DEPS executor)
op_library
(
warpctc_op DEPS dynload_warpctc sequence_padding sequence_scale
)
op_library
(
cos_sim_op DEPS cos_sim_functor
)
op_library
(
parallel_do_op DEPS executor
)
op_library
(
squeeze_op DEPS reshape_op
)
if
(
WITH_GPU
)
op_library
(
conv_op DEPS vol2col depthwise_conv im2col
)
...
...
paddle/fluid/operators/squeeze_op.cc
0 → 100644
浏览文件 @
901d5389
/* 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. */
#include <string>
#include <vector>
#include "paddle/fluid/framework/op_registry.h"
namespace
paddle
{
namespace
operators
{
class
SqueezeOpInferShape
:
public
framework
::
InferShapeBase
{
public:
void
operator
()(
framework
::
InferShapeContext
*
ctx
)
const
override
{
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"X"
),
"Input(X) of SqueezeOp should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"Out"
),
"Output(Out) of SqueezeOp should not be null."
);
const
auto
&
x_dims
=
ctx
->
GetInputDim
(
"X"
);
// Check input tensor dims (<6) Eigen limit.
PADDLE_ENFORCE
(
x_dims
.
size
()
<=
6
,
"Invalid dimnesions, the rank of Input(X) "
"should be in the range of [1, 6] (Eigen limit)."
);
const
auto
&
axes
=
ctx
->
Attrs
().
Get
<
std
::
vector
<
int
>>
(
"axes"
);
for
(
int
a
:
axes
)
{
PADDLE_ENFORCE_LT
(
a
,
x_dims
.
size
(),
"The squeeze axis should be less than input "
"tensor's rank."
);
}
auto
out_dims
=
GetOutputShape
(
axes
,
x_dims
);
ctx
->
SetOutputDim
(
"Out"
,
out_dims
);
if
(
x_dims
[
0
]
==
out_dims
[
0
])
{
// Only pass LoD when the first dimension of output and Input(X)
// are the same.
ctx
->
ShareLoD
(
"X"
,
"Out"
);
}
}
static
framework
::
DDim
GetOutputShape
(
const
std
::
vector
<
int
>
squeeze_dims
,
const
framework
::
DDim
&
in_dims
)
{
size_t
num_squeeze_dims
=
squeeze_dims
.
size
();
int
cnt_squeezed_dims
=
0
;
bool
should_squeeze
[
9
]
=
{
false
};
// Determines number of dimensions of output tensor after squeeze.
// Mark and count the dimensions need to be squeezed
if
(
num_squeeze_dims
==
0
)
{
for
(
int
idx
=
0
;
idx
<
in_dims
.
size
();
++
idx
)
{
if
(
in_dims
[
idx
]
==
1
)
{
should_squeeze
[
idx
]
=
true
;
++
cnt_squeezed_dims
;
}
}
}
else
{
for
(
size_t
idx
=
0
;
idx
<
num_squeeze_dims
;
++
idx
)
{
int
current
=
squeeze_dims
[
idx
]
<
0
?
squeeze_dims
[
idx
]
+
in_dims
.
size
()
:
squeeze_dims
[
idx
];
// Check current index, the upper limit has beed checked in line 36.
PADDLE_ENFORCE
(
current
>=
0
,
"Invalid axis, the negative axis is out of range."
);
PADDLE_ENFORCE
(
in_dims
[
current
]
==
1
,
"Invalid axis index, the axis that will be squeezed "
"should be equal to 1."
);
if
(
!
(
should_squeeze
[
current
]))
{
++
cnt_squeezed_dims
;
}
should_squeeze
[
current
]
=
true
;
}
}
// Make output dimensions
std
::
vector
<
int64_t
>
output_shape
(
in_dims
.
size
()
-
cnt_squeezed_dims
,
0
);
for
(
int
in_idx
=
0
,
out_idx
=
0
;
in_idx
<
in_dims
.
size
();
++
in_idx
)
{
if
(
!
should_squeeze
[
in_idx
])
{
output_shape
[
out_idx
++
]
=
in_dims
[
in_idx
];
}
}
return
framework
::
make_ddim
(
output_shape
);
}
};
class
SqueezeOp
:
public
framework
::
OperatorBase
{
public:
using
OperatorBase
::
OperatorBase
;
private:
void
RunImpl
(
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
place
)
const
override
{
auto
&
axes
=
Attr
<
std
::
vector
<
int
>>
(
"axes"
);
auto
x_dims
=
scope
.
FindVar
(
Input
(
"X"
))
->
Get
<
framework
::
LoDTensor
>
().
dims
();
auto
out_dims
=
SqueezeOpInferShape
::
GetOutputShape
(
axes
,
x_dims
);
framework
::
AttributeMap
attrs
;
attrs
[
"shape"
]
=
framework
::
vectorize2int
(
out_dims
);
attrs
[
"inplace"
]
=
Attr
<
bool
>
(
"inplace"
);
// Invoke Reshape Op
auto
reshape_op
=
framework
::
OpRegistry
::
CreateOp
(
"reshape"
,
{{
"X"
,
{
Input
(
"X"
)}},
{
"Shape"
,
{}}},
{{
"Out"
,
{
Output
(
"Out"
)}}},
attrs
);
reshape_op
->
Run
(
scope
,
place
);
}
};
class
SqueezeOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
void
Make
()
override
{
AddInput
(
"X"
,
"(Tensor). The input tensor of squeeze operator."
);
AddOutput
(
"Out"
,
"(Tensor). The output tensor of squeeze operator."
);
AddAttr
<
std
::
vector
<
int
>>
(
"axes"
,
"(std::vector<int>). List of integers,"
" indicating the dimensions to squeeze."
)
.
SetDefault
({});
AddAttr
<
bool
>
(
"inplace"
,
"(default: false) Squeeze the source tensor's shape without "
"memory copy. When Attr(inplace) is set true, the output "
"tensor shares memory with Input(X), otherwise, a new output "
"tensor is created, and its data are copied from Input(x)."
)
.
SetDefault
(
false
);
AddComment
(
R"DOC(
Squeeze Operator.
Remove single-dimensional entries from the shape of a tensor.
Takes a parameter axes with a list of axes to squeeze.
If axes is not provided, all the single dimensions will be removed from the shape.
If an axis is selected with shape entry not equal to one, an error is raised.
Examples:
Case 1:
Given
X.shape = (1, 3, 1, 5)
and
axes = [0]
we get:
Out.shape = (3, 1, 5)
Case 2:
Given
X.shape = (1, 3, 1, 5)
and
axes = []
we get:
Out.shape = (3, 5)
)DOC"
);
}
};
class
SqueezeGradInferShape
:
public
framework
::
InferShapeBase
{
public:
void
operator
()(
framework
::
InferShapeContext
*
context
)
const
override
{
context
->
SetOutputDim
(
framework
::
GradVarName
(
"X"
),
context
->
GetInputDim
(
"X"
));
context
->
ShareLoD
(
"X"
,
framework
::
GradVarName
(
"X"
));
}
};
class
SqueezeGradOp
:
public
framework
::
OperatorBase
{
public:
using
OperatorBase
::
OperatorBase
;
private:
void
RunImpl
(
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
place
)
const
override
{
auto
dx_name
=
Output
(
framework
::
GradVarName
(
"X"
));
auto
dout_name
=
Input
(
framework
::
GradVarName
(
"Out"
));
auto
x_dims
=
scope
.
FindVar
(
Input
(
"X"
))
->
Get
<
framework
::
LoDTensor
>
().
dims
();
framework
::
AttributeMap
attrs
;
attrs
[
"shape"
]
=
framework
::
vectorize2int
(
x_dims
);
attrs
[
"inplace"
]
=
Attr
<
bool
>
(
"inplace"
);
auto
reshape_op
=
framework
::
OpRegistry
::
CreateOp
(
"reshape"
,
{{
"X"
,
{
dout_name
}},
{
"Shape"
,
{}}},
{{
"Out"
,
{
dx_name
}}},
attrs
);
reshape_op
->
Run
(
scope
,
place
);
}
};
}
// namespace operators
}
// namespace paddle
// Tell linker to use reshape op
USE_OP
(
reshape
);
namespace
ops
=
paddle
::
operators
;
REGISTER_OPERATOR
(
squeeze
,
ops
::
SqueezeOp
,
ops
::
SqueezeOpMaker
,
ops
::
SqueezeOpInferShape
,
paddle
::
framework
::
DefaultGradOpDescMaker
<
true
>
);
REGISTER_OPERATOR
(
squeeze_grad
,
ops
::
SqueezeGradOp
,
ops
::
SqueezeGradInferShape
);
python/paddle/fluid/tests/unittests/test_squeeze_op.py
0 → 100644
浏览文件 @
901d5389
# 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.
import
unittest
import
numpy
as
np
from
op_test
import
OpTest
# Correct: General.
class
TestSqueezeOp
(
OpTest
):
def
setUp
(
self
):
self
.
op_type
=
"squeeze"
self
.
init_test_case
()
self
.
inputs
=
{
"X"
:
np
.
random
.
random
(
self
.
ori_shape
).
astype
(
"float32"
)}
self
.
init_attrs
()
self
.
outputs
=
{
"Out"
:
self
.
inputs
[
"X"
].
reshape
(
self
.
new_shape
)}
def
test_check_output
(
self
):
self
.
check_output
()
def
test_check_grad
(
self
):
self
.
check_grad
([
"X"
],
"Out"
)
def
init_test_case
(
self
):
self
.
ori_shape
=
(
1
,
3
,
1
,
5
)
self
.
axes
=
(
0
,
2
)
self
.
new_shape
=
(
3
,
5
)
def
init_attrs
(
self
):
self
.
attrs
=
{
"axes"
:
self
.
axes
,
"inplace"
:
False
}
# Correct: There is mins axis.
class
TestSqueezeOp1
(
TestSqueezeOp
):
def
init_test_case
(
self
):
self
.
ori_shape
=
(
1
,
3
,
1
,
5
)
self
.
axes
=
(
0
,
-
2
)
self
.
new_shape
=
(
3
,
5
)
# Correct: No axes input.
class
TestSqueezeOp2
(
TestSqueezeOp
):
def
init_test_case
(
self
):
self
.
ori_shape
=
(
1
,
3
,
1
,
5
)
self
.
axes
=
()
self
.
new_shape
=
(
3
,
5
)
# Correct: Just part of axes be squeezed.
class
TestSqueezeOp3
(
TestSqueezeOp
):
def
init_test_case
(
self
):
self
.
ori_shape
=
(
3
,
1
,
5
,
1
,
4
,
1
)
self
.
axes
=
(
1
,
-
1
)
self
.
new_shape
=
(
3
,
5
,
1
,
4
)
# Correct: Inplace.
class
TestSqueezeOpInplace1
(
TestSqueezeOp
):
def
init_test_case
(
self
):
self
.
ori_shape
=
(
1
,
3
,
1
,
5
)
self
.
axes
=
(
0
,
2
)
self
.
new_shape
=
(
3
,
5
)
def
init_attrs
(
self
):
self
.
attrs
=
{
"axes"
:
self
.
axes
,
"inplace"
:
True
}
# Correct: Inplace. There is mins axis.
class
TestSqueezeOpInplace2
(
TestSqueezeOp
):
def
inti_test_case
(
self
):
self
.
ori_shape
=
(
1
,
3
,
1
,
5
)
self
.
axes
=
(
0
,
-
2
)
self
.
new_shape
=
(
3
,
5
)
def
init_attrs
(
self
):
self
.
attrs
=
{
"axes"
:
self
.
axes
,
"inplace"
:
True
}
# Correct: Inplace. No axes input.
class
TestSqueezeOpInplace3
(
TestSqueezeOp
):
def
init_test_case
(
self
):
self
.
ori_shape
=
(
1
,
3
,
1
,
5
)
self
.
axes
=
()
self
.
new_shape
=
(
3
,
5
)
def
init_attrs
(
self
):
self
.
attrs
=
{
"axes"
:
self
.
axes
,
"inplace"
:
True
}
# Correct: Inpalce. Just part of axes be squeezed.
class
TestSqueezeOpInplace4
(
TestSqueezeOp
):
def
init_test_case
(
self
):
self
.
ori_shape
=
(
3
,
1
,
5
,
1
,
4
,
1
)
self
.
axes
=
(
1
,
-
1
)
self
.
new_shape
=
(
3
,
5
,
1
,
4
)
def
init_attrs
(
self
):
self
.
attrs
=
{
"axes"
:
self
.
axes
,
"inplace"
:
True
}
if
__name__
==
"__main__"
:
unittest
.
main
()
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