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1873945d
编写于
11月 29, 2016
作者:
H
hedaoyuan
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Add test_Matrix.cpp for auto compare member functions of class Matrix
上级
1bac8e60
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
185 addition
and
81 deletion
+185
-81
paddle/math/tests/CMakeLists.txt
paddle/math/tests/CMakeLists.txt
+3
-2
paddle/math/tests/TensorCheck.h
paddle/math/tests/TensorCheck.h
+13
-8
paddle/math/tests/TestUtils.h
paddle/math/tests/TestUtils.h
+120
-52
paddle/math/tests/test_Matrix.cpp
paddle/math/tests/test_Matrix.cpp
+49
-0
paddle/math/tests/test_matrixCompare.cpp
paddle/math/tests/test_matrixCompare.cpp
+0
-19
未找到文件。
paddle/math/tests/CMakeLists.txt
浏览文件 @
1873945d
...
...
@@ -2,7 +2,7 @@
add_simple_unittest
(
test_ExecViaCpu
)
add_simple_unittest
(
test_SIMDFunctions
)
add_simple_unittest
(
test_
m
atrix
)
add_simple_unittest
(
test_
SparseM
atrix
)
# TODO(yuyang18): Refactor TestUtil.cpp. Remove this cross module reference.
add_unittest
(
test_matrixCompare
...
...
@@ -14,5 +14,6 @@ add_simple_unittest(test_perturbation)
add_simple_unittest
(
test_CpuGpuVector
)
add_simple_unittest
(
test_Allocator
)
add_simple_unittest
(
test_FPException
)
add_simple_unittest
(
test_BaseMatrix
)
add_simple_unittest
(
test_GpuProfiler
)
add_simple_unittest
(
test_BaseMatrix
)
add_simple_unittest
(
test_Matrix
)
paddle/math/tests/TensorCheck.h
浏览文件 @
1873945d
...
...
@@ -37,6 +37,7 @@ public:
}
}
}
return
true
;
}
...
...
@@ -61,7 +62,7 @@ template <>
class
CopyToCpu
<
GpuMatrix
>
{
public:
explicit
CopyToCpu
(
const
GpuMatrix
&
arg
)
:
arg_
(
arg
.
getHeight
(),
arg
.
getWidth
())
{
:
arg_
(
arg
.
getHeight
(),
arg
.
getWidth
())
{
arg_
.
copyFrom
(
arg
);
}
CpuMatrix
&
copiedArg
()
{
return
arg_
;
}
...
...
@@ -70,7 +71,7 @@ private:
CpuMatrix
arg_
;
};
template
<
typename
AssertEq
>
template
<
typename
AssertEq
>
void
TensorCheck
(
AssertEq
compare
,
const
CpuMatrix
&
matrix1
,
const
CpuMatrix
&
matrix2
)
{
...
...
@@ -94,15 +95,19 @@ void TensorCheck(AssertEq compare,
EXPECT_EQ
(
count
,
0
)
<<
"There are "
<<
count
<<
" different element."
;
}
template
<
typename
AssertEq
,
typename
Tensor1
,
typename
Tensor2
>
template
<
typename
AssertEq
,
typename
Tensor1
,
typename
Tensor2
>
extern
void
TensorCheck
(
AssertEq
compare
,
const
Tensor1
&
tensor1
,
const
Tensor2
&
tensor2
)
{
TensorCheck
(
compare
,
CopyToCpu
<
Tensor1
>
(
tensor1
).
copiedArg
(),
CopyToCpu
<
Tensor2
>
(
tensor2
).
copiedArg
());
TensorCheck
(
compare
,
CopyToCpu
<
Tensor1
>
(
tensor1
).
copiedArg
(),
CopyToCpu
<
Tensor2
>
(
tensor2
).
copiedArg
());
}
}
// namespace autotest
template
<
typename
AssertEq
>
void
TensorCheck
(
AssertEq
compare
,
real
args1
,
real
args2
)
{
EXPECT_EQ
(
compare
(
args1
,
args2
),
true
)
<<
"[Test error] args1 = "
<<
args1
<<
", args2 = "
<<
args2
;
}
}
// namespace autotest
paddle/math/tests/TestUtils.h
浏览文件 @
1873945d
...
...
@@ -12,7 +12,6 @@ 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. */
/**
* TestUtils.h is used to automatically compare CPU and GPU code is consistent.
*
...
...
@@ -21,7 +20,7 @@ limitations under the License. */
* a. void BaseMatrix::tanh(BaseMatrixT& b);
* Compare method: BaseMatrixCompare<0>(&BaseMatrix::tanh);
*
* b.
* b.
*
*/
...
...
@@ -33,102 +32,169 @@ using namespace paddle; // NOLINT
namespace
autotest
{
template
<
typename
T1
,
typename
T2
>
template
<
typename
T1
,
typename
T2
>
class
ReplaceType
{
public:
typedef
T1
type
;
};
template
<
>
template
<
>
class
ReplaceType
<
BaseMatrix
,
CpuMatrix
>
{
public:
typedef
CpuMatrix
type
;
};
template
<
>
template
<
>
class
ReplaceType
<
BaseMatrix
,
GpuMatrix
>
{
public:
typedef
GpuMatrix
type
;
};
template
<
>
class
ReplaceType
<
Matrix
,
CpuMatrix
>
{
public:
typedef
CpuMatrix
type
;
};
template
<
>
class
ReplaceType
<
Matrix
,
GpuMatrix
>
{
public:
typedef
GpuMatrix
type
;
};
// construct a argument
template
<
typename
T
>
T
construct
(
int
height
,
int
width
);
template
<
>
float
construct
(
int
height
,
int
width
)
{
return
0.0
;
}
template
<
>
CpuMatrix
construct
(
int
height
,
int
width
)
{
template
<
typename
T
>
T
construct
(
int
height
,
int
width
);
template
<
>
float
construct
(
int
height
,
int
width
)
{
return
0.0
;
}
template
<
>
CpuMatrix
construct
(
int
height
,
int
width
)
{
CpuMatrix
a
(
height
,
width
);
return
a
;
}
template
<
>
GpuMatrix
construct
(
int
height
,
int
width
)
{
template
<
>
GpuMatrix
construct
(
int
height
,
int
width
)
{
GpuMatrix
a
(
height
,
width
);
return
a
;
}
// init a argument
template
<
typename
T
>
void
init
(
T
&
v
);
template
<
>
void
init
(
float
&
v
)
{
v
=
0.5
;
}
template
<
>
void
init
(
CpuMatrix
&
v
)
{
v
.
randomizeUniform
();
}
template
<
>
void
init
(
GpuMatrix
&
v
)
{
v
.
randomizeUniform
();
}
template
<
typename
T
>
void
init
(
T
&
v
);
template
<
>
void
init
(
float
&
v
)
{
v
=
0.5
;
}
template
<
>
void
init
(
CpuMatrix
&
v
)
{
v
.
randomizeUniform
();
}
template
<
>
void
init
(
GpuMatrix
&
v
)
{
v
.
randomizeUniform
();
}
// init a tuple which contains a set of arguments.
template
<
std
::
size_t
I
=
0
,
typename
...
Args
>
inline
typename
std
::
enable_if
<
I
==
sizeof
...(
Args
),
void
>::
type
initTuple
(
std
::
tuple
<
Args
...
>&
t
)
{}
template
<
std
::
size_t
I
=
0
,
typename
...
Args
>
inline
typename
std
::
enable_if
<
I
==
sizeof
...(
Args
),
void
>::
type
initTuple
(
std
::
tuple
<
Args
...
>&
t
)
{}
template
<
std
::
size_t
I
=
0
,
typename
...
Args
>
inline
typename
std
::
enable_if
<
I
<
sizeof
...(
Args
),
void
>::
type
initTuple
(
std
::
tuple
<
Args
...
>&
t
)
{
template
<
std
::
size_t
I
=
0
,
typename
...
Args
>
inline
typename
std
::
enable_if
<
I
<
sizeof
...(
Args
),
void
>::
type
initTuple
(
std
::
tuple
<
Args
...
>&
t
)
{
init
(
std
::
get
<
I
>
(
t
));
initTuple
<
I
+
1
>
(
t
);
}
// copy a argument, copy src to dest
template
<
typename
T1
,
typename
T2
>
void
copy
(
T1
&
dest
,
T2
&
src
);
template
<
>
void
copy
(
float
&
dest
,
float
&
src
)
{
dest
=
src
;
}
template
<
>
void
copy
(
GpuMatrix
&
dest
,
CpuMatrix
&
src
)
{
template
<
typename
T1
,
typename
T2
>
void
copy
(
T1
&
dest
,
T2
&
src
);
template
<
>
void
copy
(
float
&
dest
,
float
&
src
)
{
dest
=
src
;
}
template
<
>
void
copy
(
GpuMatrix
&
dest
,
CpuMatrix
&
src
)
{
dest
.
copyFrom
(
src
);
}
// copy a tuple, copy src to dest
template
<
std
::
size_t
I
=
0
,
typename
...
Args1
,
typename
...
Args2
>
inline
typename
std
::
enable_if
<
I
==
sizeof
...(
Args1
),
void
>::
type
copyTuple
(
std
::
tuple
<
Args1
...
>&
dest
,
std
::
tuple
<
Args2
...
>&
src
)
{}
template
<
std
::
size_t
I
=
0
,
typename
...
Args1
,
typename
...
Args2
>
inline
typename
std
::
enable_if
<
I
<
sizeof
...(
Args1
),
void
>::
type
copyTuple
(
std
::
tuple
<
Args1
...
>&
dest
,
std
::
tuple
<
Args2
...
>&
src
)
{
template
<
std
::
size_t
I
=
0
,
typename
...
Args1
,
typename
...
Args2
>
inline
typename
std
::
enable_if
<
I
==
sizeof
...(
Args1
),
void
>::
type
copyTuple
(
std
::
tuple
<
Args1
...
>&
dest
,
std
::
tuple
<
Args2
...
>&
src
)
{}
template
<
std
::
size_t
I
=
0
,
typename
...
Args1
,
typename
...
Args2
>
inline
typename
std
::
enable_if
<
I
<
sizeof
...(
Args1
),
void
>::
type
copyTuple
(
std
::
tuple
<
Args1
...
>&
dest
,
std
::
tuple
<
Args2
...
>&
src
)
{
copy
(
std
::
get
<
I
>
(
dest
),
std
::
get
<
I
>
(
src
));
copyTuple
<
I
+
1
>
(
dest
,
src
);
}
// Compare output
template
<
std
::
size_t
I
=
0
,
typename
...
Args1
,
typename
...
Args2
,
typename
AssertEq
>
inline
typename
std
::
enable_if
<
I
==
sizeof
...(
Args1
),
void
>::
type
checkTuple
(
std
::
tuple
<
Args1
...
>&
args1
,
std
::
tuple
<
Args2
...
>&
args2
,
AssertEq
compare
)
{}
template
<
std
::
size_t
I
=
0
,
typename
...
Args1
,
typename
...
Args2
,
typename
AssertEq
>
inline
typename
std
::
enable_if
<
I
<
sizeof
...(
Args1
),
void
>::
type
checkTuple
(
std
::
tuple
<
Args1
...
>&
args1
,
std
::
tuple
<
Args2
...
>&
args2
,
AssertEq
compare
)
{
TensorCheck
(
compare
,
std
::
get
<
I
>
(
args1
),
std
::
get
<
I
>
(
args2
));
checkTuple
<
I
+
1
>
(
args1
,
args2
,
compare
);
}
// call member function
template
<
typename
C
,
typename
FC
,
typename
R
,
typename
...
FArgs
,
typename
...
Args
>
typename
FC
,
typename
R
,
typename
...
FArgs
,
typename
...
Args
>
R
call
(
C
&
obj
,
R
(
FC
::*
f
)(
FArgs
...),
Args
&&
...
args
)
{
return
(
obj
.
*
f
)(
args
...);
}
template
<
bool
ApplyRow
,
bool
ApplyCol
,
std
::
size_t
...
I
,
typename
C
,
typename
R
,
typename
...
Args
,
template
<
bool
ApplyRow
,
bool
ApplyCol
,
std
::
size_t
...
I
,
typename
C
,
typename
R
,
typename
...
Args
,
typename
AssertEq
>
void
BaseMatrixCompare
(
R
(
C
::*
f
)(
Args
...),
AssertEq
compare
)
{
void
BaseMatrixCompare
(
R
(
C
::*
f
)(
Args
...),
AssertEq
compare
,
bool
checkArgs
=
false
)
{
for
(
auto
height
:
{
1
,
11
,
73
,
128
,
200
,
330
})
{
for
(
auto
width
:
{
1
,
3
,
32
,
100
,
512
,
1000
})
{
CpuMatrix
obj1
(
ApplyCol
?
1
:
height
,
ApplyRow
?
1
:
width
);
GpuMatrix
obj2
(
ApplyCol
?
1
:
height
,
ApplyRow
?
1
:
width
);
CpuMatrix
obj1
(
ApplyCol
?
1
:
height
,
ApplyRow
?
1
:
width
);
GpuMatrix
obj2
(
ApplyCol
?
1
:
height
,
ApplyRow
?
1
:
width
);
init
(
obj1
);
copy
(
obj2
,
obj1
);
auto
tuple1
=
std
::
make_tuple
(
construct
<
typename
ReplaceType
<
typename
std
::
decay
<
typename
std
::
tuple_element
<
I
,
std
::
tuple
<
Args
...
>>::
type
>::
type
,
CpuMatrix
>::
type
>
(
height
,
width
)...);
construct
<
typename
ReplaceType
<
typename
std
::
decay
<
typename
std
::
tuple_element
<
I
,
std
::
tuple
<
Args
...
>>::
type
>::
type
,
CpuMatrix
>::
type
>
(
height
,
width
)...);
auto
tuple2
=
std
::
make_tuple
(
construct
<
typename
ReplaceType
<
typename
std
::
decay
<
typename
std
::
tuple_element
<
I
,
std
::
tuple
<
Args
...
>>::
type
>::
type
,
GpuMatrix
>::
type
>
(
height
,
width
)...);
construct
<
typename
ReplaceType
<
typename
std
::
decay
<
typename
std
::
tuple_element
<
I
,
std
::
tuple
<
Args
...
>>::
type
>::
type
,
GpuMatrix
>::
type
>
(
height
,
width
)...);
initTuple
(
tuple1
);
copyTuple
(
tuple2
,
tuple1
);
...
...
@@ -137,16 +203,19 @@ void BaseMatrixCompare(R (C::*f)(Args...), AssertEq compare) {
call
(
obj2
,
f
,
std
::
get
<
I
>
(
tuple2
)...);
TensorCheck
(
compare
,
obj1
,
obj2
);
if
(
checkArgs
)
{
checkTuple
(
tuple1
,
tuple2
,
compare
);
}
}
}
}
}
// namespace autotest
template
<
std
::
size_t
...
I
,
typename
C
,
typename
R
,
typename
...
Args
>
void
BaseMatrixCompare
(
R
(
C
::*
f
)(
Args
...))
{
template
<
std
::
size_t
...
I
,
typename
C
,
typename
R
,
typename
...
Args
>
void
BaseMatrixCompare
(
R
(
C
::*
f
)(
Args
...)
,
bool
checkArgs
=
false
)
{
static_assert
(
sizeof
...(
I
)
==
sizeof
...(
Args
),
"size of parameter packs are not equal"
);
"size of parameter packs are not equal"
);
#ifndef PADDLE_TYPE_DOUBLE
autotest
::
AssertEqual
compare
(
1e-5
);
...
...
@@ -154,13 +223,13 @@ void BaseMatrixCompare(R (C::*f)(Args...)) {
autotest
::
AssertEqual
compare
(
1e-10
);
#endif
autotest
::
BaseMatrixCompare
<
false
,
false
,
I
...
>
(
f
,
compare
);
autotest
::
BaseMatrixCompare
<
false
,
false
,
I
...
>
(
f
,
compare
,
checkArgs
);
}
template
<
std
::
size_t
...
I
,
typename
C
,
typename
R
,
typename
...
Args
>
template
<
std
::
size_t
...
I
,
typename
C
,
typename
R
,
typename
...
Args
>
void
BaseMatrixApplyRow
(
R
(
C
::*
f
)(
Args
...))
{
static_assert
(
sizeof
...(
I
)
==
sizeof
...(
Args
),
"size of parameter packs are not equal"
);
"size of parameter packs are not equal"
);
#ifndef PADDLE_TYPE_DOUBLE
autotest
::
AssertEqual
compare
(
1e-3
);
...
...
@@ -171,10 +240,10 @@ void BaseMatrixApplyRow(R (C::*f)(Args...)) {
autotest
::
BaseMatrixCompare
<
true
,
false
,
I
...
>
(
f
,
compare
);
}
template
<
std
::
size_t
...
I
,
typename
C
,
typename
R
,
typename
...
Args
>
template
<
std
::
size_t
...
I
,
typename
C
,
typename
R
,
typename
...
Args
>
void
BaseMatrixApplyCol
(
R
(
C
::*
f
)(
Args
...))
{
static_assert
(
sizeof
...(
I
)
==
sizeof
...(
Args
),
"size of parameter packs are not equal"
);
"size of parameter packs are not equal"
);
#ifndef PADDLE_TYPE_DOUBLE
autotest
::
AssertEqual
compare
(
1e-3
);
...
...
@@ -183,4 +252,3 @@ void BaseMatrixApplyCol(R (C::*f)(Args...)) {
#endif
autotest
::
BaseMatrixCompare
<
false
,
true
,
I
...
>
(
f
,
compare
);
}
paddle/math/tests/test_Matrix.cpp
0 → 100644
浏览文件 @
1873945d
/* Copyright (c) 2016 Baidu, Inc. 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. */
#ifndef PADDLE_ONLY_CPU
/**
* This test file compares the implementation of CPU and GPU function
* in Matrix.cpp.
*/
#include <gtest/gtest.h>
#include "paddle/utils/Util.h"
#include "paddle/math/BaseMatrix.h"
#include "TestUtils.h"
using
namespace
paddle
;
// NOLINT
using
namespace
std
;
// NOLINT
/**
* Test member functions which prototype is
* void (Matrix::*)(Matrix&).
*/
TEST
(
BaseMatrix
,
real
)
{
typedef
void
(
Matrix
::*
FunctionProto
)(
Matrix
&
);
#define MATRIXCOMPARE(function) \
BaseMatrixCompare<0>(static_cast<FunctionProto>(&Matrix::function), true);
MATRIXCOMPARE
(
softmax
);
#undef MATRIXCOMPARE
}
int
main
(
int
argc
,
char
**
argv
)
{
testing
::
InitGoogleTest
(
&
argc
,
argv
);
initMain
(
argc
,
argv
);
return
RUN_ALL_TESTS
();
}
#endif
paddle/math/tests/test_matrixCompare.cpp
浏览文件 @
1873945d
...
...
@@ -693,24 +693,6 @@ TEST(Matrix, unary) {
}
}
void
testMatrixSoftmax
(
int
height
,
int
width
)
{
MatrixPtr
cpuInput
=
std
::
make_shared
<
CpuMatrix
>
(
height
,
width
);
MatrixPtr
cpuOutput
=
std
::
make_shared
<
CpuMatrix
>
(
height
,
width
);
MatrixPtr
gpuInput
=
std
::
make_shared
<
GpuMatrix
>
(
height
,
width
);
MatrixPtr
gpuOutput
=
std
::
make_shared
<
GpuMatrix
>
(
height
,
width
);
cpuInput
->
randomizeUniform
();
gpuInput
->
copyFrom
(
*
cpuInput
);
cpuOutput
->
zero
();
gpuOutput
->
zero
();
cpuInput
->
softmax
(
*
cpuOutput
);
gpuInput
->
softmax
(
*
gpuOutput
);
MatrixPtr
outputCheck
=
std
::
make_shared
<
CpuMatrix
>
(
height
,
width
);
outputCheck
->
copyFrom
(
*
gpuOutput
);
MatrixCheckErr
(
*
cpuOutput
,
*
outputCheck
);
}
void
testSequenceSoftmax
(
int
batchSize
)
{
// forward
int
inputDim
=
1
;
...
...
@@ -793,7 +775,6 @@ TEST(Matrix, softmax) {
for
(
auto
width
:
{
1
,
32
,
100
,
512
,
1000
})
{
VLOG
(
3
)
<<
" height="
<<
height
<<
" width="
<<
width
;
testMatrixSoftmax
(
height
,
width
);
testMatrixSoftmaxBp
(
height
,
width
);
testMatrixSoftmaxThreshold
(
height
,
width
);
}
...
...
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