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@@ -509,7 +509,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, gradient_step,
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if shared.opts.save_training_settings_to_txt:
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saved_params = dict(
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model_name=checkpoint.model_name, model_hash=checkpoint.hash, num_of_dataset_images=len(ds),
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model_name=checkpoint.model_name, model_hash=checkpoint.shorthash, num_of_dataset_images=len(ds),
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**{field: getattr(hypernetwork, field) for field in ['layer_structure', 'activation_func', 'weight_init', 'add_layer_norm', 'use_dropout', ]}
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)
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logging.save_settings_to_file(log_directory, {**saved_params, **locals()})
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@@ -737,7 +737,7 @@ def save_hypernetwork(hypernetwork, checkpoint, hypernetwork_name, filename):
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old_sd_checkpoint = hypernetwork.sd_checkpoint if hasattr(hypernetwork, "sd_checkpoint") else None
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old_sd_checkpoint_name = hypernetwork.sd_checkpoint_name if hasattr(hypernetwork, "sd_checkpoint_name") else None
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try:
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hypernetwork.sd_checkpoint = checkpoint.hash
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hypernetwork.sd_checkpoint = checkpoint.shorthash
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hypernetwork.sd_checkpoint_name = checkpoint.model_name
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hypernetwork.name = hypernetwork_name
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hypernetwork.save(filename)
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