From 7543cf5e3b5eaced00582da257801227d1ff2a6e Mon Sep 17 00:00:00 2001 From: Melan Date: Thu, 20 Oct 2022 22:43:08 +0200 Subject: Fixed some typos in the code --- modules/hypernetworks/hypernetwork.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) (limited to 'modules/hypernetworks') diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py index 5e919775..0cd94f49 100644 --- a/modules/hypernetworks/hypernetwork.py +++ b/modules/hypernetworks/hypernetwork.py @@ -284,19 +284,19 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log last_saved_file = "" last_saved_image = "" - ititial_step = hypernetwork.step or 0 - if ititial_step > steps: + initial_step = hypernetwork.step or 0 + if initial_step > steps: 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) if shared.opts.training_enable_tensorboard: 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: - hypernetwork.step = i + ititial_step + hypernetwork.step = i + initial_step scheduler.apply(optimizer, hypernetwork.step) if scheduler.finished: -- cgit v1.2.1