36 lines
1.3 KiB
Python
36 lines
1.3 KiB
Python
# Copyright (c) 2020 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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import numpy as np
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from paddle import nn
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def summary(layer: nn.Layer):
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num_params = num_elements = 0
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print("layer summary:")
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for name, param in layer.state_dict().items():
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print("{}|{}|{}".format(name, param.shape, np.prod(param.shape)))
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num_elements += np.prod(param.shape)
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num_params += 1
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print("layer has {} parameters, {} elements.".format(num_params,
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num_elements))
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def freeze(layer: nn.Layer):
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for param in layer.parameters():
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param.trainable = False
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def unfreeze(layer: nn.Layer):
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for param in layer.parameters():
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param.trainable = True
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