40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
# Copyright The PyTorch Lightning team.
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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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Root module for all distributed operations in Lightning.
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Currently supports training on CPU, GPU (dp, ddp, ddp2, horovod) and TPU.
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"""
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from weakref import proxy
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class ModelConnector:
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def __init__(self, trainer):
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self.trainer = trainer
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def copy_trainer_model_properties(self, model):
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ref_model = self.trainer.lightning_module or model
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automatic_optimization = ref_model.automatic_optimization and self.trainer.train_loop.automatic_optimization
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self.trainer.train_loop.automatic_optimization = automatic_optimization
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for m in [model, ref_model]:
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m.trainer = proxy(self.trainer)
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m._device_type = str(self.trainer._device_type)
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m._distrib_type = str(self.trainer._distrib_type)
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m.use_amp = self.trainer.amp_backend is not None
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m.testing = self.trainer.testing
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m.precision = self.trainer.precision
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