Fixed some typos in the code

This commit is contained in:
Melan 2022-10-20 22:43:08 +02:00
parent 8f59129847
commit 7543cf5e3b

View file

@ -284,19 +284,19 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
last_saved_file = "<none>" last_saved_file = "<none>"
last_saved_image = "<none>" last_saved_image = "<none>"
ititial_step = hypernetwork.step or 0 initial_step = hypernetwork.step or 0
if ititial_step > steps: if initial_step > steps:
return hypernetwork, filename return hypernetwork, filename
scheduler = LearnRateScheduler(learn_rate, steps, ititial_step) scheduler = LearnRateScheduler(learn_rate, steps, initial_step)
optimizer = torch.optim.AdamW(weights, lr=scheduler.learn_rate) optimizer = torch.optim.AdamW(weights, lr=scheduler.learn_rate)
if shared.opts.training_enable_tensorboard: if shared.opts.training_enable_tensorboard:
tensorboard_writer = textual_inversion.tensorboard_setup(log_directory) tensorboard_writer = textual_inversion.tensorboard_setup(log_directory)
pbar = tqdm.tqdm(enumerate(ds), total=steps - ititial_step) pbar = tqdm.tqdm(enumerate(ds), total=steps - initial_step)
for i, entries in pbar: for i, entries in pbar:
hypernetwork.step = i + ititial_step hypernetwork.step = i + initial_step
scheduler.apply(optimizer, hypernetwork.step) scheduler.apply(optimizer, hypernetwork.step)
if scheduler.finished: if scheduler.finished: