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Update train_network.py
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@@ -1031,12 +1031,12 @@ class NetworkTrainer:
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keys_scaled, mean_norm, maximum_norm = None, None, None
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# Checks if the accelerator has performed an optimization step behind the scenes
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example_tuple = (latents, batch["captions"])
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if accelerator.sync_gradients:
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progress_bar.update(1)
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global_step += 1
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if args.sample_every_n_steps is not None and global_step % args.sample_every_n_steps == 0:
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accelerator.wait_for_everyone()
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example_tuple = (latents, batch["captions"])
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self.sample_images(accelerator, args, None, global_step, accelerator.device, vae, tokenizer, text_encoder, unet, example_tuple)
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@@ -1095,6 +1095,7 @@ class NetworkTrainer:
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train_util.save_and_remove_state_on_epoch_end(args, accelerator, epoch + 1)
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if args.sample_every_n_epochs is not None and (epoch + 1)% args.sample_every_n_epochs == 0:
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accelerator.wait_for_everyone()
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example_tuple = (latents, batch["captions"])
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self.sample_images(accelerator, args, epoch + 1, global_step, accelerator.device, vae, tokenizer, text_encoder, unet, example_tuple)
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