38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import paddle
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import paddle.nn as nn
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from typing import List
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def get_bn_running_state_names(model: nn.Layer) -> List[str]:
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"""Get all bn state full names including running mean and variance
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"""
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names = []
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for n, m in model.named_sublayers():
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if isinstance(m, (nn.BatchNorm2D, nn.SyncBatchNorm)):
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assert hasattr(m, '_mean'), f'assert {m} has _mean'
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assert hasattr(m, '_variance'), f'assert {m} has _variance'
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running_mean = f'{n}._mean'
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running_var = f'{n}._variance'
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names.extend([running_mean, running_var])
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return names
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