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| | | from funasr.train_utils.trainer_ds import Trainer |
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| | | from funasr.schedulers import scheduler_classes |
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| | | from funasr.train_utils.initialize import initialize |
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| | | from funasr.download.download_from_hub import download_model |
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| | | from funasr.download.download_model_from_hub import download_model |
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| | | from funasr.models.lora.utils import mark_only_lora_as_trainable |
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| | | from funasr.train_utils.set_all_random_seed import set_all_random_seed |
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| | | from funasr.train_utils.load_pretrained_model import load_pretrained_model |
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| | |
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| | | dataloader = dataloader_class(**kwargs) |
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| | | # dataloader_tr, dataloader_val = dataloader_class(**kwargs) |
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| | | |
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| | | scaler = GradScaler(enabled=trainer.use_fp16) if trainer.use_fp16 else None |
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| | | scaler = GradScaler(enabled=True) if trainer.use_fp16 or trainer.use_bf16 else None |
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| | | scaler = ShardedGradScaler(enabled=trainer.use_fp16) if trainer.use_fsdp else scaler |
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| | | |
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| | | trainer.resume_checkpoint( |
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