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examples/unconditional_image_generation/train_unconditional.py

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@@ -599,7 +599,6 @@ def transform_images(examples):
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batch_size=args.eval_batch_size,
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num_inference_steps=args.ddpm_num_inference_steps,
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output_type="numpy",
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num_inference_steps=args.ddpm_num_steps,
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).images
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# denormalize the images and save to tensorboard

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