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39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
# Copyright (c) 2020, NVIDIA CORPORATION. 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 pytorch_lightning as pl
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from omegaconf import DictConfig, OmegaConf
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from pytorch_lightning.plugins import DDPPlugin
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from nemo.collections.nlp.models.language_modeling import BERTLMModel
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from nemo.core.config import hydra_runner
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from nemo.utils import logging
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from nemo.utils.exp_manager import exp_manager
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@hydra_runner(config_path="conf", config_name="bert_pretraining_from_text_config")
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def main(cfg: DictConfig) -> None:
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logging.info(f'Config:\n {OmegaConf.to_yaml(cfg)}')
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trainer = pl.Trainer(plugins=[DDPPlugin(find_unused_parameters=True)], **cfg.trainer)
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exp_manager(trainer, cfg.get("exp_manager", None))
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bert_model = BERTLMModel(cfg.model, trainer=trainer)
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trainer.fit(bert_model)
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if cfg.model.nemo_path:
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bert_model.save_to(cfg.model.nemo_path)
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if __name__ == '__main__':
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main()
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