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Update train_network.py
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@@ -989,7 +989,7 @@ class NetworkTrainer:
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total_loss = 0.0
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with torch.no_grad():
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validation_steps = args.validation_batches if args.validation_batches is not None else len(val_dataloader)
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for val_step in min(len(val_dataloader), args.validation_batches):
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for val_step in range(validation_steps):
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is_train = False
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batch = next(cyclic_val_dataloader)
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loss = self.process_val_batch(batch, is_train, tokenizers, text_encoders, unet, vae, noise_scheduler, vae_dtype, weight_dtype, accelerator, args)
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@@ -1015,7 +1015,7 @@ class NetworkTrainer:
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total_loss = 0.0
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with torch.no_grad():
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validation_steps = args.validation_batches if args.validation_batches is not None else len(val_dataloader)
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for val_step in min(len(val_dataloader), args.validation_batches):
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for val_step in range(validation_steps):
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is_train = False
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batch = next(cyclic_val_dataloader)
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loss = self.process_val_batch(batch, is_train, tokenizers, text_encoders, unet, vae, noise_scheduler, vae_dtype, weight_dtype, accelerator, args)
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