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