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- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # 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.
- # ============================================================================
- """Util class or function."""
-
-
- def get_param_groups(network):
- """Param groups for optimizer."""
- decay_params = []
- no_decay_params = []
- for x in network.trainable_params():
- parameter_name = x.name
- if parameter_name.endswith('.bias'):
- # all bias not using weight decay
- no_decay_params.append(x)
- elif parameter_name.endswith('.gamma'):
- # bn weight bias not using weight decay, be carefully for now x not include BN
- no_decay_params.append(x)
- elif parameter_name.endswith('.beta'):
- # bn weight bias not using weight decay, be carefully for now x not include BN
- no_decay_params.append(x)
- else:
- decay_params.append(x)
-
- return [{'params': no_decay_params, 'weight_decay': 0.0}, {'params': decay_params}]
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