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024ddbd5
编写于
6月 10, 2021
作者:
littletomatodonkey
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add dml
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ppcls/loss/dmlloss.py
ppcls/loss/dmlloss.py
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ppcls/loss/dmlloss.py
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# copyright (c) 2021 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.
import
paddle
import
paddle.nn
as
nn
import
paddle.nn.functional
as
F
class
DMLLoss
(
nn
.
Layer
):
"""
DMLLoss
"""
def
__init__
(
self
,
act
=
"softmax"
):
super
().
__init__
()
if
act
is
not
None
:
assert
act
in
[
"softmax"
,
"sigmoid"
]
if
act
==
"softmax"
:
self
.
act
=
nn
.
Softmax
(
axis
=-
1
)
elif
act
==
"sigmoid"
:
self
.
act
=
nn
.
Sigmoid
()
else
:
self
.
act
=
None
def
forward
(
self
,
out1
,
out2
):
if
self
.
act
is
not
None
:
out1
=
self
.
act
(
out1
)
out2
=
self
.
act
(
out2
)
log_out1
=
paddle
.
log
(
out1
)
log_out2
=
paddle
.
log
(
out2
)
loss
=
(
F
.
kl_div
(
log_out1
,
out2
,
reduction
=
'batchmean'
)
+
F
.
kl_div
(
log_out2
,
out1
,
reduction
=
'batchmean'
))
/
2.0
return
{
"DMLLoss"
:
loss
}
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