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Update model.py
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@ -28,7 +28,7 @@ class BaseTrainerModel(TrainerModel):
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"""Forward pass for inference.
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It must return a dictionary with the main model output and all the auxiliary outputs. The key ```model_outputs```
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is considered to be the main output and you can add any other auxiliary outputs as you want.
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is considered to be the main output and you can add any other auxiliary outputs if you want.
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We don't use `*kwargs` since it is problematic with the TorchScript API.
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@ -54,6 +54,7 @@ class BaseTrainerModel(TrainerModel):
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checkpoint_path (str): Path to the model checkpoint file.
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eval (bool, optional): If true, init model for inference else for training. Defaults to False.
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strict (bool, optional): Match all checkpoint keys to model's keys. Defaults to True.
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cache (bool, optional): If True, cache the file locally for subsequent calls. It is cached under `get_user_data_dir()/tts_cache`. Defaults to False.
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cache (bool, optional): If True, cache the file locally for subsequent calls. It is cached under `get_user_data_dir()/tts_cache`.
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Defaults to False.
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"""
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...
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