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体验新版 GitCode,发现更多精彩内容 >>
提交
ff20a11a
编写于
10月 18, 2017
作者:
X
xzl
浏览文件
操作
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电子邮件补丁
差异文件
add layerGrad test and maskoutput test
上级
afa69024
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
128 addition
and
0 deletion
+128
-0
paddle/gserver/tests/CMakeLists.txt
paddle/gserver/tests/CMakeLists.txt
+9
-0
paddle/gserver/tests/test_LayerGrad.cpp
paddle/gserver/tests/test_LayerGrad.cpp
+2
-0
paddle/gserver/tests/test_MaxPoolingWithMaskOutput.cpp
paddle/gserver/tests/test_MaxPoolingWithMaskOutput.cpp
+117
-0
未找到文件。
paddle/gserver/tests/CMakeLists.txt
浏览文件 @
ff20a11a
...
...
@@ -69,6 +69,15 @@ add_unittest_without_exec(test_PriorBox
add_test
(
NAME test_PriorBox
COMMAND test_PriorBox
)
################# test_MaxPoolingWithMaskOutput #################
add_unittest_without_exec
(
test_MaxPoolingWithMaskOutput
test_MaxPoolingWithMaskOutput.cpp
LayerGradUtil.cpp
)
add_test
(
NAME test_MaxPoolingWithMaskOutput
COMMAND test_MaxPoolingWithMaskOutput
)
################# test_DetectionOutput #######################
add_unittest_without_exec
(
test_DetectionOutput
test_DetectionOutput.cpp
...
...
paddle/gserver/tests/test_LayerGrad.cpp
浏览文件 @
ff20a11a
...
...
@@ -1234,6 +1234,7 @@ void testPoolLayer2(const string& poolType, bool trans, bool useGpu) {
TEST
(
Layer
,
PoolLayer
)
{
testPoolLayer
(
"avg-projection"
,
/* trans= */
false
,
/* useGpu= */
false
);
testPoolLayer
(
"max-projection"
,
/* trans= */
false
,
/* useGpu= */
false
);
testPoolLayer
(
"max-pool-with-mask"
,
/* trans= */
false
,
/* useGpu= */
false
);
#ifdef PADDLE_WITH_CUDA
testPoolLayer
(
"avg-projection"
,
/* trans= */
false
,
/* useGpu= */
true
);
...
...
@@ -1242,6 +1243,7 @@ TEST(Layer, PoolLayer) {
testPoolLayer
(
"cudnn-avg-pool"
,
/* trans= */
false
,
/* useGpu= */
true
);
testPoolLayer2
(
"cudnn-max-pool"
,
/* trans= */
false
,
/* useGpu= */
true
);
testPoolLayer2
(
"cudnn-avg-pool"
,
/* trans= */
false
,
/* useGpu= */
true
);
testPoolLayer
(
"max-pool-with-mask"
,
/* trans= */
false
,
/* useGpu= */
true
);
#endif
}
...
...
paddle/gserver/tests/test_MaxPoolingWithMaskOutput.cpp
0 → 100644
浏览文件 @
ff20a11a
/* Copyright (c) 2016 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. */
#include <gtest/gtest.h>
#include <string>
#include <vector>
#include "LayerGradUtil.h"
#include "paddle/math/MathUtils.h"
#include "paddle/testing/TestUtil.h"
using
namespace
paddle
;
void
setPoolConfig
(
TestConfig
*
config
,
PoolConfig
*
pool
,
const
string
&
poolType
)
{
(
*
config
).
biasSize
=
0
;
(
*
config
).
layerConfig
.
set_type
(
"pool"
);
(
*
config
).
layerConfig
.
set_num_filters
(
1
);
int
kw
=
3
,
kh
=
3
;
int
pw
=
0
,
ph
=
0
;
int
sw
=
2
,
sh
=
2
;
pool
->
set_pool_type
(
poolType
);
pool
->
set_channels
(
1
);
pool
->
set_size_x
(
kw
);
pool
->
set_size_y
(
kh
);
pool
->
set_start
(
0
);
pool
->
set_padding
(
pw
);
pool
->
set_padding_y
(
ph
);
pool
->
set_stride
(
sw
);
pool
->
set_stride_y
(
sh
);
int
ow
=
outputSize
(
pool
->
img_size
(),
kw
,
pw
,
sw
,
/* caffeMode */
false
);
int
oh
=
outputSize
(
pool
->
img_size_y
(),
kh
,
ph
,
sh
,
/* caffeMode */
false
);
pool
->
set_output_x
(
ow
);
pool
->
set_output_y
(
oh
);
}
void
doOneMaxPoolingWithMaskOutputTest
(
MatrixPtr
&
inputMat
,
const
string
&
poolType
,
bool
use_gpu
,
MatrixPtr
&
maskMat
)
{
TestConfig
config
;
config
.
inputDefs
.
push_back
({
INPUT_DATA
,
"layer_0"
,
25
,
0
});
LayerInputConfig
*
input
=
config
.
layerConfig
.
add_inputs
();
PoolConfig
*
pool
=
input
->
mutable_pool_conf
();
pool
->
set_img_size
(
5
);
pool
->
set_img_size_y
(
5
);
setPoolConfig
(
&
config
,
pool
,
poolType
);
config
.
layerConfig
.
set_size
(
pool
->
output_x
()
*
pool
->
output_y
()
*
pool
->
channels
());
config
.
layerConfig
.
set_name
(
"MaxPoolWithMask"
);
std
::
vector
<
DataLayerPtr
>
dataLayers
;
LayerMap
layerMap
;
vector
<
Argument
>
datas
;
;
initDataLayer
(
config
,
&
dataLayers
,
&
datas
,
&
layerMap
,
"MaxPoolWithMask"
,
1
,
false
,
use_gpu
);
dataLayers
[
0
]
->
getOutputValue
()
->
copyFrom
(
*
inputMat
);
FLAGS_use_gpu
=
use_gpu
;
std
::
vector
<
ParameterPtr
>
parameters
;
LayerPtr
maxPoolingWithMaskOutputLayer
;
initTestLayer
(
config
,
&
layerMap
,
&
parameters
,
&
maxPoolingWithMaskOutputLayer
);
maxPoolingWithMaskOutputLayer
->
forward
(
PASS_GC
);
;
checkMatrixEqual
(
maxPoolingWithMaskOutputLayer
->
getOutput
(
"mask"
).
value
,
maskMat
);
}
TEST
(
Layer
,
maxPoolingWithMaskOutputLayerFwd
)
{
bool
useGpu
=
false
;
MatrixPtr
inputMat
;
MatrixPtr
maskMat
;
real
inputData
[]
=
{
0.1
,
0.1
,
0.5
,
0.5
,
1.1
,
0.2
,
0.2
,
0.6
,
0.1
,
0.1
,
0.3
,
0.3
,
0.7
,
0.1
,
0.1
,
0.4
,
0.4
,
0.8
,
0.8
,
0.1
,
1.0
,
2.0
,
3.0
,
0.0
,
9.0
};
real
maskData
[]
=
{
12
,
4
,
22
,
24
};
inputMat
=
Matrix
::
create
(
1
,
25
,
false
,
useGpu
);
maskMat
=
Matrix
::
create
(
1
,
4
,
false
,
useGpu
);
inputMat
->
setData
(
inputData
);
maskMat
->
setData
(
maskData
);
doOneMaxPoolingWithMaskOutputTest
(
inputMat
,
"max-pool-with-mask"
,
useGpu
,
maskMat
);
#ifdef PADDLE_WITH_CUDA
useGpu
=
true
;
inputMat
=
Matrix
::
create
(
1
,
25
,
false
,
useGpu
);
maskMat
=
Matrix
::
create
(
1
,
4
,
false
,
useGpu
);
inputMat
->
copyFrom
(
inputData
,
25
);
maskMat
->
copyFrom
(
maskData
,
4
);
doOneMaxPoolingWithMaskOutputTest
(
inputMat
,
"max-pool-with-mask"
,
useGpu
,
maskMat
);
#endif
}
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