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2988a58e
编写于
8月 08, 2017
作者:
C
caoying03
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add unittest.
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84627bb9
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2 changed file
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+220
-0
paddle/gserver/tests/CMakeLists.txt
paddle/gserver/tests/CMakeLists.txt
+6
-0
paddle/gserver/tests/test_SeqSliceLayerGrad.cpp
paddle/gserver/tests/test_SeqSliceLayerGrad.cpp
+214
-0
未找到文件。
paddle/gserver/tests/CMakeLists.txt
浏览文件 @
2988a58e
...
@@ -30,6 +30,12 @@ add_unittest_without_exec(test_CRFLayerGrad
...
@@ -30,6 +30,12 @@ add_unittest_without_exec(test_CRFLayerGrad
add_test
(
NAME test_CRFLayerGrad
add_test
(
NAME test_CRFLayerGrad
COMMAND test_CRFLayerGrad
)
COMMAND test_CRFLayerGrad
)
################ test_SeqSliceLayerGrad ####################
add_unittest_without_exec
(
test_SeqSliceLayerGrad
test_SeqSliceLayerGrad.cpp
LayerGradUtil.cpp
)
add_test
(
NAME test_SeqSliceLayerGrad
COMMAND test_SeqSliceLayerGrad
)
add_unittest_without_exec
(
test_ActivationGrad
add_unittest_without_exec
(
test_ActivationGrad
test_ActivationGrad.cpp
test_ActivationGrad.cpp
...
...
paddle/gserver/tests/test_SeqSliceLayerGrad.cpp
0 → 100644
浏览文件 @
2988a58e
/* 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. */
#include <gtest/gtest.h>
#include "ModelConfig.pb.h"
#include "paddle/gserver/layers/DataLayer.h"
#include "paddle/trainer/Trainer.h"
#include "LayerGradUtil.h"
#include "paddle/testing/TestUtil.h"
using
namespace
paddle
;
// NOLINT
using
namespace
std
;
// NOLINT
DECLARE_int32
(
gpu_id
);
DECLARE_bool
(
thread_local_rand_use_global_seed
);
const
int
MAX_SEQ_NUM
=
5
;
const
int
MAX_SEQ_LEN
=
5
;
const
int
MAX_BEAM_SIZE
=
3
;
vector
<
real
>
randSampling
(
real
range
,
int
n
)
{
CHECK_GE
(
range
,
n
);
vector
<
real
>
num
(
range
);
iota
(
begin
(
num
),
end
(
num
),
0.
);
if
(
range
==
n
)
return
num
;
random_shuffle
(
begin
(
num
),
end
(
num
));
num
.
resize
(
n
);
sort
(
begin
(
num
),
end
(
num
));
return
num
;
}
void
genSeqInfo
(
vector
<
int
>&
seqStartPos
,
vector
<
int
>&
subSeqStartPos
)
{
seqStartPos
.
resize
(
1
,
0
);
subSeqStartPos
.
resize
(
1
,
0
);
// srand((size_t)(time(NULL)));
srand
(
1
);
int
seqNum
=
1
+
(
rand
()
%
MAX_SEQ_NUM
);
for
(
int
i
=
0
;
i
<
seqNum
;
++
i
)
{
int
subSeqNum
=
1
+
(
rand
()
%
MAX_SEQ_NUM
);
for
(
int
j
=
0
;
j
<
subSeqNum
;
++
j
)
subSeqStartPos
.
push_back
(
subSeqStartPos
.
back
()
+
(
1
+
(
rand
()
%
MAX_SEQ_LEN
)));
seqStartPos
.
push_back
(
subSeqStartPos
.
back
());
}
}
/*
generate start indices according to sequence start positions.
*/
void
genStarts
(
vector
<
int
>&
seqStartPos
,
vector
<
vector
<
real
>>&
starts
,
size_t
beamSize
)
{
starts
.
clear
();
starts
.
resize
(
seqStartPos
.
size
()
-
1
,
vector
<
real
>
(
beamSize
,
-
1.
));
for
(
size_t
i
=
0
;
i
<
seqStartPos
.
size
()
-
1
;
++
i
)
{
int
seqLen
=
seqStartPos
[
i
+
1
]
-
seqStartPos
[
i
];
vector
<
real
>
randStarts
=
randSampling
(
seqLen
,
min
(
seqLen
,
static_cast
<
int
>
(
beamSize
)));
copy
(
begin
(
randStarts
),
end
(
randStarts
),
begin
(
starts
[
i
]));
}
}
/*
generate end indices according to sequence start positions and start indices.
*/
void
genEnds
(
vector
<
int
>&
seqStartPos
,
vector
<
vector
<
real
>>&
starts
,
vector
<
vector
<
real
>>&
ends
,
size_t
beamSize
)
{
CHECK_EQ
(
seqStartPos
.
size
()
-
1
,
starts
.
size
());
ends
.
clear
();
ends
.
resize
(
seqStartPos
.
size
()
-
1
,
vector
<
real
>
(
beamSize
,
-
1.
));
for
(
size_t
i
=
0
;
i
<
starts
.
size
();
++
i
)
{
for
(
size_t
j
=
0
;
j
<
starts
[
i
].
size
();
++
j
)
{
int
seqLen
=
seqStartPos
[
i
+
1
]
-
seqStartPos
[
i
];
CHECK_GE
(
seqLen
-
1
,
starts
[
i
][
j
]);
if
(
starts
[
i
][
j
]
==
-
1.
)
break
;
if
(
starts
[
i
][
j
]
==
(
seqLen
-
1
))
{
ends
[
i
][
j
]
=
starts
[
i
][
j
];
}
else
{
ends
[
i
][
j
]
=
starts
[
i
][
j
]
+
randSampling
(
seqLen
-
starts
[
i
][
j
],
1
)[
0
];
}
}
}
}
void
genTestData
(
vector
<
int
>&
seqStartPos
,
vector
<
int
>&
subSeqStartPos
,
vector
<
vector
<
real
>>&
starts
,
vector
<
vector
<
real
>>&
ends
,
bool
hasSubseq
)
{
size_t
beamSize
=
MAX_BEAM_SIZE
;
genSeqInfo
(
seqStartPos
,
subSeqStartPos
);
genStarts
(
hasSubseq
?
subSeqStartPos
:
seqStartPos
,
starts
,
beamSize
);
genEnds
(
hasSubseq
?
subSeqStartPos
:
seqStartPos
,
starts
,
ends
,
beamSize
);
}
template
<
typename
T
>
void
flatten2dVector
(
vector
<
vector
<
T
>>&
inVec
,
vector
<
T
>&
outVec
)
{
size_t
totalSize
{
0
};
for
(
auto
const
&
items
:
inVec
)
totalSize
+=
items
.
size
();
outVec
.
reserve
(
totalSize
);
for
(
auto
&
items
:
inVec
)
move
(
items
.
begin
(),
items
.
end
(),
back_inserter
(
outVec
));
}
void
testSeqSliceLayer
(
bool
hasSubseq
,
bool
useGpu
,
vector
<
int
>&
seqStartPos
,
vector
<
int
>&
subSeqStartPos
,
vector
<
vector
<
real
>>&
starts
,
vector
<
vector
<
real
>>&
ends
)
{
// layer size is not crutial for this layer,
// so here use a small layer size in the unittest.
const
size_t
layerSize
{
4
};
TestConfig
config
;
config
.
layerConfig
.
set_type
(
"seq_slice"
);
config
.
layerConfig
.
set_size
(
layerSize
);
// add the first input
MatrixPtr
seqInputPtr
=
Matrix
::
create
(
hasSubseq
?
subSeqStartPos
.
back
()
:
seqStartPos
.
back
(),
layerSize
,
false
,
false
);
seqInputPtr
->
randomizeUniform
();
if
(
hasSubseq
)
{
config
.
inputDefs
.
push_back
({
INPUT_SELF_DEFINE_DATA
,
"seq_input"
,
seqInputPtr
,
seqStartPos
,
subSeqStartPos
});
}
else
{
config
.
inputDefs
.
push_back
(
{
INPUT_SELF_DEFINE_DATA
,
"seq_input"
,
seqInputPtr
,
seqStartPos
});
}
config
.
layerConfig
.
add_inputs
();
// add start indices
if
(
starts
.
size
())
{
vector
<
real
>
startsToVec
;
flatten2dVector
(
starts
,
startsToVec
);
MatrixPtr
startMatrixPtr
=
Matrix
::
create
(
starts
.
size
(),
starts
[
0
].
size
(),
false
,
false
);
startMatrixPtr
->
copyFrom
(
startsToVec
.
data
(),
startsToVec
.
size
());
config
.
inputDefs
.
push_back
(
{
INPUT_SELF_DEFINE_DATA
,
"starts"
,
startMatrixPtr
});
config
.
layerConfig
.
add_inputs
();
}
// add end indices
if
(
ends
.
size
())
{
vector
<
real
>
endsToVec
;
flatten2dVector
(
ends
,
endsToVec
);
MatrixPtr
endMatrixPtr
=
Matrix
::
create
(
ends
.
size
(),
ends
[
0
].
size
(),
false
,
false
);
config
.
inputDefs
.
push_back
({
INPUT_SELF_DEFINE_DATA
,
"ends"
,
endMatrixPtr
});
config
.
layerConfig
.
add_inputs
();
}
testLayerGrad
(
config
,
"seq_slice"
,
/*batchSize*/
100
,
false
,
useGpu
,
false
);
}
TEST
(
Layer
,
SeqSliceLayer
)
{
vector
<
int
>
seqStartPos
;
vector
<
int
>
subSeqStartPos
;
vector
<
vector
<
real
>>
starts
;
vector
<
vector
<
real
>>
ends
;
genSeqInfo
(
seqStartPos
,
subSeqStartPos
);
for
(
bool
hasSubseq
:
{
false
,
true
})
{
genTestData
(
seqStartPos
,
subSeqStartPos
,
starts
,
ends
,
hasSubseq
);
for
(
bool
useGpu
:
{
false
,
true
})
{
vector
<
vector
<
real
>>
tmp
;
testSeqSliceLayer
(
hasSubseq
,
useGpu
,
seqStartPos
,
subSeqStartPos
,
tmp
,
ends
);
testSeqSliceLayer
(
hasSubseq
,
useGpu
,
seqStartPos
,
subSeqStartPos
,
starts
,
tmp
);
testSeqSliceLayer
(
hasSubseq
,
useGpu
,
seqStartPos
,
subSeqStartPos
,
starts
,
ends
);
}
}
}
int
main
(
int
argc
,
char
**
argv
)
{
initMain
(
argc
,
argv
);
hl_start
();
hl_init
(
FLAGS_gpu_id
);
FLAGS_thread_local_rand_use_global_seed
=
true
;
srand
(
1
);
testing
::
InitGoogleTest
(
&
argc
,
argv
);
return
RUN_ALL_TESTS
();
}
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