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dohe0342 2022-12-26 13:59:38 +09:00
parent ccef0f6ea6
commit daddc24b52
2 changed files with 0 additions and 32 deletions
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egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp
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egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
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@ -1530,38 +1530,6 @@ def run_adapter(rank, world_size, args, wb=None):
) )
scheduler_adapter = Eden(optimizer_adapter, 0, 0) #params.lr_batche, params.lr_epochs) scheduler_adapter = Eden(optimizer_adapter, 0, 0) #params.lr_batche, params.lr_epochs)
if checkpoints and ("optimizer" in checkpoints or "optimizer_enc" in checkpoints):
if params.multi_optim:
logging.info("Loading optimizer state dict")
optimizer_enc.load_state_dict(checkpoints["optimizer_enc"])
optimizer_dec.load_state_dict(checkpoints["optimizer_dec"])
else:
logging.info("Loading optimizer state dict")
optimizer.load_state_dict(checkpoints["optimizer"])
if checkpoints:
if (
params.multi_optim
and "scheduler_enc" in checkpoints
and checkpoints["scheduler_enc"] is not None
):
logging.info("Loading enc/dec scheduler state dict")
scheduler_enc.load_state_dict(checkpoints["scheduler_enc"])
scheduler_dec.load_state_dict(checkpoints["scheduler_dec"])
else:
logging.info("Loading scheduler state dict")
scheduler.load_state_dict(checkpoints["scheduler"])
if params.print_diagnostics:
opts = diagnostics.TensorDiagnosticOptions(
2**22
) # allow 4 megabytes per sub-module
diagnostic = diagnostics.attach_diagnostics(model, opts)
if params.inf_check:
register_inf_check_hooks(model)
librispeech = LibriSpeechAsrDataModule(args) librispeech = LibriSpeechAsrDataModule(args)
train_cuts = librispeech.train_clean_100_cuts() train_cuts = librispeech.train_clean_100_cuts()