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dohe0342 2022-12-10 14:03:07 +09:00
parent b3fe065b78
commit 7c1b7b3d28
2 changed files with 18 additions and 18 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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@ -1064,24 +1064,24 @@ def train_one_epoch(
wb.log({"train/loss": loss_info["loss"]*numel})
if batch_idx % params.valid_interval == 0 and not params.print_diagnostics:
logging.info("Computing validation loss")
valid_info = compute_validation_loss(
params=params,
model=model,
sp=sp,
valid_dl=valid_dl,
world_size=world_size,
)
model.train()
logging.info(f"Epoch {params.cur_epoch}, validation: {valid_info}")
logging.info(
f"Maximum memory allocated so far is {torch.cuda.max_memory_allocated()//1000000}MB"
)
if tb_writer is not None:
valid_info.write_summary(
tb_writer, "train/valid_", params.batch_idx_train
)
#if batch_idx % params.valid_interval == 0 and not params.print_diagnostics:
logging.info("Computing validation loss")
valid_info = compute_validation_loss(
params=params,
model=model,
sp=sp,
valid_dl=valid_dl,
world_size=world_size,
)
model.train()
logging.info(f"Epoch {params.cur_epoch}, validation: {valid_info}")
logging.info(
f"Maximum memory allocated so far is {torch.cuda.max_memory_allocated()//1000000}MB"
)
if tb_writer is not None:
valid_info.write_summary(
tb_writer, "train/valid_", params.batch_idx_train
)
loss_value = tot_loss["loss"] / tot_loss["frames"]
params.train_loss = loss_value