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@ -1551,9 +1551,6 @@ def run_adapter(rank, world_size, args, wb=None):
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train_cuts = train_cuts.filter(remove_short_and_long_utt)
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#if params.start_batch > 0 and checkpoints and "sampler" in checkpoints:
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# sampler_state_dict = checkpoints["sampler"]
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#else:
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sampler_state_dict = None
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train_dl = librispeech.train_dataloaders(
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