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体验新版 GitCode,发现更多精彩内容 >>
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fe45f211
编写于
1月 17, 2018
作者:
W
wanghaoshuang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
1. Rename 'block_expand' to im2sequence
2. Refine code and doc
上级
09adb769
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
51 addition
and
35 deletion
+51
-35
paddle/operators/im2sequence_op.cc
paddle/operators/im2sequence_op.cc
+15
-15
paddle/operators/im2sequence_op.cu
paddle/operators/im2sequence_op.cu
+5
-5
paddle/operators/im2sequence_op.h
paddle/operators/im2sequence_op.h
+10
-6
python/paddle/v2/fluid/tests/test_im2sequence_op.py
python/paddle/v2/fluid/tests/test_im2sequence_op.py
+21
-9
未找到文件。
paddle/operators/
block_expand
_op.cc
→
paddle/operators/
im2sequence
_op.cc
浏览文件 @
fe45f211
...
...
@@ -12,21 +12,21 @@ 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 "paddle/operators/
block_expand
_op.h"
#include "paddle/operators/
im2sequence
_op.h"
namespace
paddle
{
namespace
operators
{
class
BlockExpand
Op
:
public
framework
::
OperatorWithKernel
{
class
Im2Sequence
Op
:
public
framework
::
OperatorWithKernel
{
public:
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
protected:
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"X"
),
"Input
of BlockExpand
Op should not be null."
);
"Input
(X) of Im2Sequence
Op should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"Out"
),
"Output
of BlockExpand
Op op should not be null."
);
"Output
(Out) of Im2Sequence
Op op should not be null."
);
auto
in_dim
=
ctx
->
GetInputDim
(
"X"
);
PADDLE_ENFORCE_EQ
(
in_dim
.
size
(),
4
,
...
...
@@ -55,9 +55,9 @@ class BlockExpandOp : public framework::OperatorWithKernel {
}
};
class
BlockExpand
OpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
class
Im2Sequence
OpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
BlockExpand
OpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
Im2Sequence
OpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"(Tensor)The input tensor has NCHW format."
...
...
@@ -65,7 +65,7 @@ class BlockExpandOpMaker : public framework::OpProtoAndCheckerMaker {
"C: channels"
"H: height"
"W: width"
);
AddOutput
(
"Out"
,
"(LodTensor)The output data of
block_expand
op,"
);
AddOutput
(
"Out"
,
"(LodTensor)The output data of
im2sequence
op,"
);
AddAttr
<
int
>
(
"block_height"
,
"(int)height of block."
);
AddAttr
<
int
>
(
"block_width"
,
"(int)width of block."
);
AddAttr
<
int
>
(
"stride_height"
,
"(int)height of stride."
);
...
...
@@ -73,7 +73,7 @@ class BlockExpandOpMaker : public framework::OpProtoAndCheckerMaker {
AddAttr
<
int
>
(
"padding_height"
,
"(int)height of padding."
);
AddAttr
<
int
>
(
"padding_width"
,
"(int)width of padding."
);
AddComment
(
R"DOC(
Expand
feature map to minibatch matrix.
Convert
feature map to minibatch matrix.
- matirx height is: output_height * output_width
- matrix width is: block_height * block_width * channels
...
...
@@ -133,7 +133,7 @@ output.lod = [[0, 4, 8]]
}
};
class
BlockExpand
GradOp
:
public
framework
::
OperatorWithKernel
{
class
Im2Sequence
GradOp
:
public
framework
::
OperatorWithKernel
{
public:
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
...
...
@@ -150,11 +150,11 @@ class BlockExpandGradOp : public framework::OperatorWithKernel {
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP
(
block_expand
,
ops
::
BlockExpandOp
,
ops
::
BlockExpand
OpMaker
,
block_expand_grad
,
ops
::
BlockExpand
GradOp
);
REGISTER_OP
(
im2sequence
,
ops
::
Im2SequenceOp
,
ops
::
Im2Sequence
OpMaker
,
im2sequence_grad
,
ops
::
Im2Sequence
GradOp
);
REGISTER_OP_CPU_KERNEL
(
block_expand
,
ops
::
BlockExpand
Kernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
>
);
im2sequence
,
ops
::
Im2Sequence
Kernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
>
);
REGISTER_OP_CPU_KERNEL
(
block_expand
_grad
,
ops
::
BlockExpand
GradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
>
);
im2sequence
_grad
,
ops
::
Im2Sequence
GradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
>
);
paddle/operators/
block_expand
_op.cu
→
paddle/operators/
im2sequence
_op.cu
浏览文件 @
fe45f211
...
...
@@ -13,13 +13,13 @@
limitations under the License. */
#define EIGEN_USE_GPU
#include "paddle/operators/
block_expand
_op.h"
#include "paddle/operators/
im2sequence
_op.h"
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_CUDA_KERNEL
(
block_expand
,
ops
::
BlockExpand
Kernel
<
paddle
::
platform
::
CUDADeviceContext
,
float
>
);
im2sequence
,
ops
::
Im2Sequence
Kernel
<
paddle
::
platform
::
CUDADeviceContext
,
float
>
);
REGISTER_OP_CUDA_KERNEL
(
block_expand
_grad
,
ops
::
BlockExpand
GradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
float
>
);
im2sequence
_grad
,
ops
::
Im2Sequence
GradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
float
>
);
paddle/operators/
block_expand
_op.h
→
paddle/operators/
im2sequence
_op.h
浏览文件 @
fe45f211
...
...
@@ -14,11 +14,11 @@
#pragma once
#include "paddle/operators/math/math_function.h"
#include "paddle/framework/data_layout.h"
#include "paddle/framework/eigen.h"
#include "paddle/framework/op_registry.h"
#include "paddle/operators/math/im2col.h"
#include "paddle/operators/math/math_function.h"
namespace
paddle
{
namespace
operators
{
...
...
@@ -32,13 +32,16 @@ inline int get_output_size(int img_size, int block_size, int stride,
}
template
<
typename
DeviceContext
,
typename
T
>
class
BlockExpand
Kernel
:
public
framework
::
OpKernel
<
T
>
{
class
Im2Sequence
Kernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
const
Tensor
*
in
=
ctx
.
Input
<
Tensor
>
(
"X"
);
LoDTensor
*
out
=
ctx
.
Output
<
LoDTensor
>
(
"Out"
);
out
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
// TODO(wanghaoshuang): Add layout checker after 'set_layout'
// being available for python API
// PADDLE_ENFORCE_EQ(in->layout(), framework::DataLayout::kNCHW,
// "Input(X) layout must be NCHW");
auto
in_dim
=
in
->
dims
();
int
batch_size
=
in_dim
[
0
];
int
img_channels
=
in_dim
[
1
];
...
...
@@ -80,8 +83,9 @@ class BlockExpandKernel : public framework::OpKernel<T> {
// set lod information
// TODO(wanghaoshuang): Move this to InferShape
framework
::
LoD
lod
(
1
);
lod
[
0
].
reserve
(
batch_size
+
1
);
for
(
int
i
=
0
,
offset
=
0
;
i
<
batch_size
+
1
;
++
i
)
{
lod
[
0
]
.
push_back
(
offset
)
;
lod
[
0
]
[
i
]
=
offset
;
offset
+=
output_height
*
output_width
;
}
out
->
set_lod
(
lod
);
...
...
@@ -89,7 +93,7 @@ class BlockExpandKernel : public framework::OpKernel<T> {
};
template
<
typename
DeviceContext
,
typename
T
>
class
BlockExpand
GradKernel
:
public
framework
::
OpKernel
<
T
>
{
class
Im2Sequence
GradKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
auto
*
in
=
ctx
.
Input
<
Tensor
>
(
"X"
);
...
...
python/paddle/v2/fluid/tests/test_
block_expand
_op.py
→
python/paddle/v2/fluid/tests/test_
im2sequence
_op.py
浏览文件 @
fe45f211
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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
def
get_output_shape
(
attrs
,
x
):
img_height
=
x
.
shape
[
2
]
img_width
=
x
.
shape
[
3
]
def
get_output_shape
(
attrs
,
in_shape
):
img_height
=
in_
shape
[
2
]
img_width
=
in_
shape
[
3
]
padding_height
=
attrs
[
'padding_height'
]
padding_width
=
attrs
[
'padding_width'
]
...
...
@@ -73,8 +86,8 @@ def im2col(attrs, im, col):
im_row_offset
][
im_col_offset
]
def
block_expand
(
inputs
,
attrs
):
output_height
,
output_width
=
get_output_shape
(
attrs
,
inputs
)
def
Im2Sequence
(
inputs
,
attrs
):
output_height
,
output_width
=
get_output_shape
(
attrs
,
inputs
.
shape
)
img_channels
=
inputs
.
shape
[
1
]
batch_size
=
inputs
.
shape
[
0
]
out
=
np
.
zeros
([
...
...
@@ -109,13 +122,12 @@ class TestBlockExpandOp(OpTest):
def
setUp
(
self
):
self
.
config
()
self
.
op_type
=
"block_expand"
#x = np.random.uniform(0.1, 1,
x
=
np
.
random
.
randint
(
0
,
10
,
[
self
.
op_type
=
"im2sequence"
x
=
np
.
random
.
uniform
(
0.1
,
1
,
[
self
.
batch_size
,
self
.
img_channels
,
self
.
img_height
,
self
.
img_width
]).
astype
(
"float32"
)
out
=
block_expand
(
x
,
self
.
attrs
)
out
=
Im2Sequence
(
x
,
self
.
attrs
)
self
.
inputs
=
{
'X'
:
x
}
self
.
outputs
=
{
'Out'
:
out
}
...
...
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