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| # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import lightning.pytorch as pl | |
| from nemo.collections.common.callbacks import LogEpochTimeCallback | |
| from nemo.collections.tts.models import WaveGlowModel | |
| from nemo.core.config import hydra_runner | |
| from nemo.utils.exp_manager import exp_manager | |
| def main(cfg): | |
| trainer = pl.Trainer(**cfg.trainer) | |
| exp_manager(trainer, cfg.get("exp_manager", None)) | |
| model = WaveGlowModel(cfg=cfg.model, trainer=trainer) | |
| epoch_time_logger = LogEpochTimeCallback() | |
| trainer.callbacks.extend([epoch_time_logger]) | |
| trainer.fit(model) | |
| if __name__ == '__main__': | |
| main() # noqa pylint: disable=no-value-for-parameter | |