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体验新版 GitCode,发现更多精彩内容 >>
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ba786b2e
编写于
11月 27, 2016
作者:
W
wangyang59
浏览文件
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电子邮件补丁
差异文件
only do test_ConvUnify when there is a gpu
上级
60bf1a47
变更
1
隐藏空白更改
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并排
Showing
1 changed file
with
53 addition
and
51 deletion
+53
-51
paddle/gserver/tests/test_ConvUnify.cpp
paddle/gserver/tests/test_ConvUnify.cpp
+53
-51
未找到文件。
paddle/gserver/tests/test_ConvUnify.cpp
浏览文件 @
ba786b2e
...
...
@@ -40,60 +40,61 @@ MatrixPtr doOneConvTest(size_t imgSize, size_t output_x, size_t stride,
size_t
padding
,
size_t
filter_size
,
size_t
channel
,
size_t
numfilters
,
MatrixPtr
&
inputData
,
real
*
param
,
bool
useGpu
)
{
TestConfig
config
;
config
.
biasSize
=
numfilters
;
if
(
useGpu
)
{
config
.
layerConfig
.
set_type
(
"cudnn_conv"
);
}
else
{
config
.
layerConfig
.
set_type
(
"exconv"
);
}
config
.
layerConfig
.
set_num_filters
(
numfilters
);
config
.
layerConfig
.
set_partial_sum
(
1
);
config
.
layerConfig
.
set_shared_biases
(
true
);
config
.
inputDefs
.
push_back
({
INPUT_DATA
,
"layer_0"
,
imgSize
*
imgSize
*
channel
,
channel
*
filter_size
*
filter_size
*
config
.
layerConfig
.
num_filters
()});
LayerInputConfig
*
input
=
config
.
layerConfig
.
add_inputs
();
ConvConfig
*
conv
=
input
->
mutable_conv_conf
();
conv
->
set_filter_size
(
filter_size
);
conv
->
set_filter_size_y
(
filter_size
);
conv
->
set_channels
(
channel
);
conv
->
set_padding
(
padding
);
conv
->
set_padding_y
(
padding
);
conv
->
set_stride
(
stride
);
conv
->
set_stride_y
(
stride
);
conv
->
set_groups
(
1
);
conv
->
set_filter_channels
(
channel
);
conv
->
set_img_size
(
imgSize
);
conv
->
set_output_x
(
output_x
);
config
.
layerConfig
.
set_size
(
conv
->
output_x
()
*
conv
->
output_x
()
*
config
.
layerConfig
.
num_filters
());
config
.
layerConfig
.
set_name
(
"conv"
);
std
::
vector
<
DataLayerPtr
>
dataLayers
;
LayerMap
layerMap
;
vector
<
Argument
>
datas
;
initDataLayer
(
config
,
&
dataLayers
,
&
datas
,
&
layerMap
,
"conv"
,
1
,
false
,
useGpu
);
dataLayers
[
0
]
->
getOutputValue
()
->
zeroMem
();
dataLayers
[
0
]
->
getOutputValue
()
->
copyFrom
(
*
inputData
);
// test layer initialize
std
::
vector
<
ParameterPtr
>
parameters
;
LayerPtr
convLayer
;
initTestLayer
(
config
,
&
layerMap
,
&
parameters
,
&
convLayer
);
convLayer
->
getBiasParameter
()
->
zeroMem
();
convLayer
->
getParameters
()[
0
]
->
zeroMem
();
convLayer
->
getParameters
()[
0
]
->
getBuf
(
PARAMETER_VALUE
)
->
copyFrom
(
param
,
channel
*
filter_size
*
filter_size
*
config
.
layerConfig
.
num_filters
());
convLayer
->
forward
(
PASS_GC
);
return
convLayer
->
getOutputValue
();
TestConfig
config
;
config
.
biasSize
=
numfilters
;
if
(
useGpu
)
{
config
.
layerConfig
.
set_type
(
"cudnn_conv"
);
}
else
{
config
.
layerConfig
.
set_type
(
"exconv"
);
}
config
.
layerConfig
.
set_num_filters
(
numfilters
);
config
.
layerConfig
.
set_partial_sum
(
1
);
config
.
layerConfig
.
set_shared_biases
(
true
);
config
.
inputDefs
.
push_back
({
INPUT_DATA
,
"layer_0"
,
imgSize
*
imgSize
*
channel
,
channel
*
filter_size
*
filter_size
*
config
.
layerConfig
.
num_filters
()});
LayerInputConfig
*
input
=
config
.
layerConfig
.
add_inputs
();
ConvConfig
*
conv
=
input
->
mutable_conv_conf
();
conv
->
set_filter_size
(
filter_size
);
conv
->
set_filter_size_y
(
filter_size
);
conv
->
set_channels
(
channel
);
conv
->
set_padding
(
padding
);
conv
->
set_padding_y
(
padding
);
conv
->
set_stride
(
stride
);
conv
->
set_stride_y
(
stride
);
conv
->
set_groups
(
1
);
conv
->
set_filter_channels
(
channel
);
conv
->
set_img_size
(
imgSize
);
conv
->
set_output_x
(
output_x
);
config
.
layerConfig
.
set_size
(
conv
->
output_x
()
*
conv
->
output_x
()
*
config
.
layerConfig
.
num_filters
());
config
.
layerConfig
.
set_name
(
"conv"
);
std
::
vector
<
DataLayerPtr
>
dataLayers
;
LayerMap
layerMap
;
vector
<
Argument
>
datas
;
initDataLayer
(
config
,
&
dataLayers
,
&
datas
,
&
layerMap
,
"conv"
,
1
,
false
,
useGpu
);
dataLayers
[
0
]
->
getOutputValue
()
->
zeroMem
();
dataLayers
[
0
]
->
getOutputValue
()
->
copyFrom
(
*
inputData
);
// test layer initialize
std
::
vector
<
ParameterPtr
>
parameters
;
LayerPtr
convLayer
;
initTestLayer
(
config
,
&
layerMap
,
&
parameters
,
&
convLayer
);
convLayer
->
getBiasParameter
()
->
zeroMem
();
convLayer
->
getParameters
()[
0
]
->
zeroMem
();
convLayer
->
getParameters
()[
0
]
->
getBuf
(
PARAMETER_VALUE
)
->
copyFrom
(
param
,
channel
*
filter_size
*
filter_size
*
config
.
layerConfig
.
num_filters
());
convLayer
->
forward
(
PASS_GC
);
return
convLayer
->
getOutputValue
();
}
TEST
(
Layer
,
convParaUnified
)
{
#ifndef PADDLE_ONLY_CPU
MatrixPtr
input
,
resultCpu
,
resultGpu
;
input
=
Matrix
::
create
(
1
,
4
*
4
,
false
,
false
);
float
inputData
[]
=
{
1
,
2
,
3
,
4
,
...
...
@@ -155,6 +156,7 @@ TEST(Layer, convParaUnified) {
/*numfilters*/
2
,
input
,
param2
,
true
);
checkMatrixEqual
(
resultCpu
,
resultGpu
);
#endif
}
int
main
(
int
argc
,
char
**
argv
)
{
...
...
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