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86a679b0
编写于
6月 21, 2017
作者:
H
hedaoyuan
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差异文件
Add unit test of ImageExpandOp.
上级
09d712d6
变更
3
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3 changed file
with
109 addition
and
0 deletion
+109
-0
paddle/function/CMakeLists.txt
paddle/function/CMakeLists.txt
+1
-0
paddle/function/ImageExpandOp.cpp
paddle/function/ImageExpandOp.cpp
+1
-0
paddle/function/ImageExpandOpTest.cpp
paddle/function/ImageExpandOpTest.cpp
+107
-0
未找到文件。
paddle/function/CMakeLists.txt
浏览文件 @
86a679b0
...
...
@@ -29,6 +29,7 @@ if(WITH_GPU)
add_simple_unittest
(
MulOpTest
)
add_simple_unittest
(
CosSimOpTest
)
add_simple_unittest
(
RowConvOpTest
)
add_simple_unittest
(
ImageExpandOpTest
)
endif
()
add_simple_unittest
(
ConvOpTest
)
...
...
paddle/function/ImageExpandOp.cpp
浏览文件 @
86a679b0
...
...
@@ -116,6 +116,7 @@ public:
CHECK_EQ
(
numInputs_
,
inputs
.
size
());
CHECK_EQ
(
numOutputs_
,
outputs
.
size
());
check
(
inputs
,
outputs
);
CHECK_EQ
(
outputs
[
0
].
getArgType
(),
ASSIGN_TO
);
const
TensorShape
&
image
=
inputs
[
0
].
shape
();
const
TensorShape
&
sequence
=
outputs
[
0
].
shape
();
...
...
paddle/function/ImageExpandOpTest.cpp
0 → 100644
浏览文件 @
86a679b0
/* 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 "FunctionTest.h"
namespace
paddle
{
TEST
(
ImageExpandForward
,
real
)
{
for
(
size_t
batchSize
:
{
5
,
32
})
{
for
(
size_t
channels
:
{
1
,
5
,
32
})
{
for
(
size_t
inputHeight
:
{
5
,
33
,
100
})
{
for
(
size_t
inputWidth
:
{
5
,
32
,
96
})
{
for
(
size_t
block
:
{
1
,
3
,
5
})
{
for
(
size_t
stride
:
{
1
,
2
})
{
for
(
size_t
padding
:
{
0
,
1
})
{
// init Test object
std
::
vector
<
size_t
>
strides
=
{
stride
,
stride
};
std
::
vector
<
size_t
>
paddings
=
{
padding
,
padding
};
std
::
vector
<
size_t
>
blocks
=
{
block
,
block
};
CpuGpuFuncCompare
test
(
"ImageExpand"
,
FuncConfig
()
.
set
(
"strides"
,
strides
)
.
set
(
"paddings"
,
paddings
)
.
set
(
"blocks"
,
blocks
));
size_t
outputHeight
=
1
+
(
inputHeight
+
2
*
padding
-
block
+
stride
-
1
)
/
stride
;
size_t
outputWidth
=
1
+
(
inputWidth
+
2
*
padding
-
block
+
stride
-
1
)
/
stride
;
TensorShape
inputShape
=
TensorShape
({
batchSize
,
channels
,
inputHeight
,
inputWidth
});
TensorShape
outputShape
=
TensorShape
({
batchSize
,
outputHeight
*
outputWidth
,
channels
*
block
*
block
});
test
.
addInputs
(
BufferArg
(
VALUE_TYPE_FLOAT
,
inputShape
));
test
.
addOutputs
(
BufferArg
(
VALUE_TYPE_FLOAT
,
outputShape
));
// run Function
test
.
run
();
}
}
}
}
}
}
}
}
TEST
(
ImageExpandBackward
,
real
)
{
for
(
size_t
batchSize
:
{
5
,
32
})
{
for
(
size_t
channels
:
{
1
,
5
,
32
})
{
for
(
size_t
inputHeight
:
{
5
,
33
,
100
})
{
for
(
size_t
inputWidth
:
{
5
,
32
,
96
})
{
for
(
size_t
block
:
{
1
,
3
,
5
})
{
for
(
size_t
stride
:
{
1
,
2
})
{
for
(
size_t
padding
:
{
0
,
1
})
{
// init Test object
std
::
vector
<
size_t
>
strides
=
{
stride
,
stride
};
std
::
vector
<
size_t
>
paddings
=
{
padding
,
padding
};
std
::
vector
<
size_t
>
blocks
=
{
block
,
block
};
CpuGpuFuncCompare
test
(
"ImageExpandGrad"
,
FuncConfig
()
.
set
(
"strides"
,
strides
)
.
set
(
"paddings"
,
paddings
)
.
set
(
"blocks"
,
blocks
));
size_t
outputHeight
=
1
+
(
inputHeight
+
2
*
padding
-
block
+
stride
-
1
)
/
stride
;
size_t
outputWidth
=
1
+
(
inputWidth
+
2
*
padding
-
block
+
stride
-
1
)
/
stride
;
TensorShape
inputShape
=
TensorShape
({
batchSize
,
channels
,
inputHeight
,
inputWidth
});
TensorShape
outputShape
=
TensorShape
({
batchSize
,
outputHeight
*
outputWidth
,
channels
*
block
*
block
});
test
.
addInputs
(
BufferArg
(
VALUE_TYPE_FLOAT
,
outputShape
));
test
.
addOutputs
(
BufferArg
(
VALUE_TYPE_FLOAT
,
inputShape
),
ADD_TO
);
// run Function
test
.
run
();
}
}
}
}
}
}
}
}
}
// namespace paddle
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