Update utils.py - Fixed save_checkpoint with scheduler set to None #8
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mkrima
reviewed
Apr 16, 2024
| @@ -40,7 +40,8 @@ def train_base(model, opt, data, scheduler, iterations, acc_steps, batch_size, s | |||
| if extra_args.grad_clip != 0.0: | |||
| torch.nn.utils.clip_grad_norm_(model.parameters(), extra_args.grad_clip) | |||
| opt.step() | |||
| scheduler.step() | |||
| if scheduler != None: | |||
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nit: if scheduler is not None
(otherwise LGTM)
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hello, this kind of fix was already proposed in the soap branch,
but we didn't change the sparse.py
thanks for the reminder)
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The
save_checkpointraised an error if scheduler was set to None. This is fixed by setting the scheduler state_dict to None in case the scheduler is not set.