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f347d6e4
编写于
1月 12, 2019
作者:
T
tensor-tang
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电子邮件补丁
差异文件
add repeated fc relu unit test
test=develop
上级
99010e6e
变更
2
显示空白变更内容
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并排
Showing
2 changed file
with
86 addition
and
1 deletion
+86
-1
paddle/fluid/operators/fused/fusion_repeated_fc_relu_op.cc
paddle/fluid/operators/fused/fusion_repeated_fc_relu_op.cc
+1
-1
python/paddle/fluid/tests/unittests/test_fusion_repeated_fc_relu_op.py
.../fluid/tests/unittests/test_fusion_repeated_fc_relu_op.py
+85
-0
未找到文件。
paddle/fluid/operators/fused/fusion_repeated_fc_relu_op.cc
浏览文件 @
f347d6e4
...
...
@@ -120,7 +120,7 @@ class FusionRepeatedFCReluKernel : public framework::OpKernel<T> {
int
m
=
i_dims
[
0
];
int
n
=
w_dims
[
1
];
int
k
=
w_dims
[
0
];
relus
[
i
-
1
]
->
Resize
({
m
,
n
});
relus
[
i
]
->
Resize
({
m
,
n
});
fc_relu
(
relus
[
i
-
1
]
->
data
<
T
>
(),
weights
[
i
]
->
data
<
T
>
(),
biases
[
i
]
->
data
<
T
>
(),
relus
[
i
]
->
mutable_data
<
T
>
(
place
),
m
,
n
,
k
);
}
...
...
python/paddle/fluid/tests/unittests/test_fusion_repeated_fc_relu_op.py
0 → 100644
浏览文件 @
f347d6e4
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# 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.
from
__future__
import
print_function
import
unittest
import
numpy
as
np
from
op_test
import
OpTest
from
test_fc_op
import
fc_refer
,
MatrixGenerate
class
TestFusionRepeatedFCReluOp
(
OpTest
):
def
setUp
(
self
):
self
.
bs
=
3
self
.
ic
=
9
self
.
oc
=
[
2
,
4
,
3
]
assert
len
(
self
.
oc
)
>
1
,
'Should larger than 1'
self
.
set_conf
()
self
.
op_type
=
'fusion_repeated_fc_relu'
sz
=
len
(
self
.
oc
)
ics
=
[
self
.
ic
]
+
self
.
oc
[
0
:
sz
-
1
]
assert
len
(
ics
)
==
len
(
self
.
oc
)
weights
=
[]
biases
=
[]
outs
=
[]
i
=
0
matrix
=
MatrixGenerate
(
self
.
bs
,
ics
[
i
],
self
.
oc
[
i
],
1
,
1
)
inp
=
np
.
reshape
(
matrix
.
input
,
[
self
.
bs
,
ics
[
i
]])
weights
.
append
((
'W_{0}'
.
format
(
i
),
np
.
reshape
(
matrix
.
weights
,
[
ics
[
i
],
self
.
oc
[
i
]])))
biases
.
append
((
'B_{0}'
.
format
(
i
),
matrix
.
bias
))
outs
.
append
(
np
.
reshape
(
np
.
maximum
(
fc_refer
(
matrix
,
True
),
0
),
[
self
.
bs
,
self
.
oc
[
i
]]))
for
i
in
range
(
sz
-
1
):
matrix
=
MatrixGenerate
(
self
.
bs
,
ics
[
i
+
1
],
self
.
oc
[
i
+
1
],
1
,
1
)
matrix
.
input
=
np
.
reshape
(
outs
[
i
],
[
self
.
bs
,
ics
[
i
+
1
],
1
,
1
])
out
=
fc_refer
(
matrix
,
True
)
weights
.
append
(
(
'W_{0}'
.
format
(
i
+
1
),
np
.
reshape
(
matrix
.
weights
,
[
ics
[
i
+
1
],
self
.
oc
[
i
+
1
]])))
biases
.
append
((
'B_{0}'
.
format
(
i
+
1
),
matrix
.
bias
))
outs
.
append
(
np
.
reshape
(
np
.
maximum
(
out
,
0
),
[
self
.
bs
,
self
.
oc
[
i
+
1
]]))
relu_outs
=
[]
for
i
in
range
(
sz
-
1
):
relu_outs
.
append
((
'ReluOut_{0}'
.
format
(
i
),
outs
[
i
]))
self
.
inputs
=
{
'X'
:
inp
,
'W'
:
weights
,
'Bias'
:
biases
,
}
self
.
outputs
=
{
'Out'
:
outs
[
-
1
],
'ReluOut'
:
relu_outs
}
def
test_check_output
(
self
):
self
.
check_output
()
def
set_conf
(
self
):
pass
class
TestFusionRepeatedFCReluOpBS1
(
TestFusionRepeatedFCReluOp
):
def
set_conf
(
self
):
self
.
bs
=
1
self
.
oc
=
[
4
,
2
,
7
,
5
]
if
__name__
==
'__main__'
:
unittest
.
main
()
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