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42 lines
1.9 KiB
42 lines
1.9 KiB
5 years ago
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# Copyright 2020 Huawei Technologies Co., Ltd
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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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# ============================================================================
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"""Parameters utils"""
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from mindspore import Tensor
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from mindspore.common.initializer import initializer, TruncatedNormal
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def init_net_param(network, initialize_mode='TruncatedNormal'):
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"""Init the parameters in net."""
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params = network.trainable_params()
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for p in params:
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if isinstance(p.data, Tensor) and 'beta' not in p.name and 'gamma' not in p.name and 'bias' not in p.name:
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if initialize_mode == 'TruncatedNormal':
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p.set_parameter_data(initializer(TruncatedNormal(0.03), p.data.shape, p.data.dtype))
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else:
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p.set_parameter_data(initialize_mode, p.data.shape, p.data.dtype)
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5 years ago
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def load_backbone_params(network, param_dict):
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"""Init the parameters from pre-train model, default is mobilenetv2."""
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for _, param in net.parameters_and_names():
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param_name = param.name.replace('network.backbone.', '')
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name_split = param_name.split('.')
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if 'features_1' in param_name:
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param_name = param_name.replace('features_1', 'features')
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if 'features_2' in param_name:
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param_name = '.'.join(['features', str(int(name_split[1]) + 14)] + name_split[2:])
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if param_name in param_dict:
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param.set_parameter_data(param_dict[param_name].data)
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