53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
# copyright (c) 2020 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.
|
|
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
from __future__ import unicode_literals
|
|
|
|
import paddle
|
|
|
|
|
|
class L1Decay(object):
|
|
"""
|
|
L1 Weight Decay Regularization, which encourages the weights to be sparse.
|
|
Args:
|
|
factor(float): regularization coeff. Default:0.0.
|
|
"""
|
|
|
|
def __init__(self, factor=0.0):
|
|
super(L1Decay, self).__init__()
|
|
self.regularization_coeff = factor
|
|
|
|
def __call__(self):
|
|
reg = paddle.regularizer.L1Decay(self.regularization_coeff)
|
|
return reg
|
|
|
|
|
|
class L2Decay(object):
|
|
"""
|
|
L2 Weight Decay Regularization, which encourages the weights to be sparse.
|
|
Args:
|
|
factor(float): regularization coeff. Default:0.0.
|
|
"""
|
|
|
|
def __init__(self, factor=0.0):
|
|
super(L2Decay, self).__init__()
|
|
self.regularization_coeff = factor
|
|
|
|
def __call__(self):
|
|
reg = paddle.regularizer.L2Decay(self.regularization_coeff)
|
|
return reg
|