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体验新版 GitCode,发现更多精彩内容 >>
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455888c5
编写于
5月 26, 2017
作者:
H
hedaoyuan
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电子邮件补丁
差异文件
Add ConvOpTest for NaiveConv and GemmConv
上级
1879332a
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
85 addition
and
1 deletion
+85
-1
paddle/function/CMakeLists.txt
paddle/function/CMakeLists.txt
+3
-1
paddle/function/ConvOpTest.cpp
paddle/function/ConvOpTest.cpp
+82
-0
未找到文件。
paddle/function/CMakeLists.txt
浏览文件 @
455888c5
...
...
@@ -14,8 +14,8 @@ add_library(paddle_function STATIC ${cpp_files} ${cu_objs})
add_dependencies
(
paddle_function
${
external_project_dependencies
}
)
add_dependencies
(
paddle_function gen_proto_cpp
)
if
(
WITH_GPU
)
if
(
WITH_TESTING
)
if
(
WITH_GPU
)
# TODO:
# file(GLOB test_files . *OpTest.cpp)
# add_executable(${test_bin} EXCLUDE_FROM_ALL ${test_files})
...
...
@@ -29,6 +29,8 @@ if(WITH_TESTING)
add_simple_unittest
(
MulOpTest
)
add_simple_unittest
(
CosSimOpTest
)
endif
()
add_simple_unittest
(
ConvOpTest
)
endif
()
add_style_check_target
(
paddle_function
${
h_files
}
)
...
...
paddle/function/ConvOpTest.cpp
0 → 100644
浏览文件 @
455888c5
/* 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 <memory>
#include "Function.h"
#include "FunctionTest.h"
namespace
paddle
{
typedef
Compare2Function
<
DEVICE_TYPE_CPU
,
DEVICE_TYPE_CPU
>
Compare2CpuFunction
;
class
ConvolutionTest
{
public:
ConvolutionTest
(
const
std
::
string
&
conv1
,
const
std
::
string
&
conv2
,
std
::
string
algo
=
"auto"
)
{
for
(
size_t
batchSize
:
{
1
,
32
})
{
for
(
size_t
inputSize
:
{
7
,
14
,
54
})
{
for
(
size_t
filterSize
:
{
1
,
3
,
5
})
{
for
(
size_t
inputChannels
:
{
3
,
64
})
{
for
(
size_t
outputChannels
:
{
3
,
64
,
128
})
{
if
(
inputChannels
<
outputChannels
)
break
;
for
(
size_t
stride
:
{
1
,
2
})
{
for
(
size_t
padding
:
{
0
,
1
})
{
if
(
padding
>=
filterSize
)
break
;
size_t
outputSize
=
(
inputSize
-
filterSize
+
2
*
padding
+
stride
)
/
stride
;
LOG
(
INFO
)
<<
" batchSize="
<<
batchSize
<<
" inputChannels="
<<
inputChannels
<<
" inputHeight="
<<
inputSize
<<
" inputWidth="
<<
inputSize
<<
" outputChannels="
<<
outputChannels
<<
" filterHeight="
<<
filterSize
<<
" filterWidth="
<<
filterSize
<<
" outputHeight="
<<
outputSize
<<
" outputWidth="
<<
outputSize
<<
" stride="
<<
stride
<<
" padding="
<<
padding
;
Compare2CpuFunction
test
(
conv1
,
conv2
,
FuncConfig
()
.
set
(
"padding"
,
padding
)
.
set
(
"stride"
,
stride
)
.
set
(
"algo"
,
algo
));
TensorShape
shape0
{
batchSize
,
inputChannels
,
inputSize
,
inputSize
};
TensorShape
shape1
{
outputChannels
,
inputChannels
,
filterSize
,
filterSize
};
TensorShape
shape2
{
batchSize
,
outputChannels
,
outputSize
,
outputSize
};
test
.
addInputs
(
BufferArg
(
VALUE_TYPE_FLOAT
,
shape0
));
test
.
addInputs
(
BufferArg
(
VALUE_TYPE_FLOAT
,
shape1
));
test
.
addOutputs
(
BufferArg
(
VALUE_TYPE_FLOAT
,
shape2
));
test
.
run
();
}
}
}
}
}
}
}
}
};
TEST
(
Convolution
,
GEMM
)
{
ConvolutionTest
test
(
"NaiveConv-CPU"
,
"GemmConv-CPU"
);
}
}
// namespace paddle
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