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e3d857d4
编写于
5月 28, 2021
作者:
B
Bin Lu
提交者:
GitHub
5月 28, 2021
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Create arcmargin.py
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ppcls/arch/head/arcmargin.py
ppcls/arch/head/arcmargin.py
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# Copyright (c) 2021 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.
import
paddle
import
paddle.nn
as
nn
import
math
class
ArcMargin
(
nn
.
Layer
):
def
__init__
(
self
,
embedding_size
,
class_num
,
margin
=
0.5
,
scale
=
80.0
,
easy_margin
=
False
):
super
(
ArcMargin
,
self
).
__init__
()
self
.
embedding_size
=
embedding_size
self
.
class_num
=
class_num
self
.
margin
=
margin
self
.
scale
=
scale
self
.
easy_margin
=
easy_margin
weight_attr
=
paddle
.
ParamAttr
(
initializer
=
paddle
.
nn
.
initializer
.
XavierNormal
())
self
.
fc
=
nn
.
Linear
(
self
.
embedding_size
,
self
.
class_dim
,
weight_attr
=
weight_attr
,
bias_attr
=
False
)
def
forward
(
self
,
input
,
label
):
input_norm
=
paddle
.
sqrt
(
paddle
.
sum
(
paddle
.
square
(
input
),
axis
=
1
,
keepdim
=
True
))
input
=
paddle
.
divide
(
input
,
input_norm
)
weight
=
self
.
fc0
.
weight
weight_norm
=
paddle
.
sqrt
(
paddle
.
sum
(
paddle
.
square
(
weight
),
axis
=
0
,
keepdim
=
True
))
weight
=
paddle
.
divide
(
weight
,
weight_norm
)
cos
=
paddle
.
matmul
(
input
,
weight
)
sin
=
paddle
.
sqrt
(
1.0
-
paddle
.
square
(
cos
)
+
1e-6
)
cos_m
=
math
.
cos
(
self
.
margin
)
sin_m
=
math
.
sin
(
self
.
margin
)
phi
=
cos
*
cos_m
-
sin
*
sin_m
th
=
math
.
cos
(
self
.
margin
)
*
(
-
1
)
mm
=
math
.
sin
(
self
.
margin
)
*
self
.
margin
if
self
.
easy_margin
:
phi
=
self
.
_paddle_where_more_than
(
cos
,
0
,
phi
,
cos
)
else
:
phi
=
self
.
_paddle_where_more_than
(
cos
,
th
,
phi
,
cos
-
mm
)
one_hot
=
paddle
.
nn
.
functional
.
one_hot
(
label
,
self
.
class_dim
)
one_hot
=
paddle
.
squeeze
(
one_hot
,
axis
=
[
1
])
output
=
paddle
.
multiply
(
one_hot
,
phi
)
+
paddle
.
multiply
((
1.0
-
one_hot
),
cos
)
output
=
output
*
self
.
scale
return
output
def
_paddle_where_more_than
(
self
,
target
,
limit
,
x
,
y
):
mask
=
paddle
.
cast
(
x
=
(
target
>
limit
),
dtype
=
'float32'
)
output
=
paddle
.
multiply
(
mask
,
x
)
+
paddle
.
multiply
((
1.0
-
mask
),
y
)
return
output
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