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shuffle at debug_dataset
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@@ -1080,7 +1080,10 @@ def debug_dataset(train_dataset, show_input_ids=False):
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train_dataset.set_current_epoch(1)
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train_dataset.set_current_epoch(1)
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k = 0
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k = 0
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for i, example in enumerate(train_dataset):
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indices = list(range(len(train_dataset)))
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random.shuffle(indices)
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for i, idx in enumerate(indices):
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example = train_dataset[idx]
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if example['latents'] is not None:
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if example['latents'] is not None:
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print(f"sample has latents from npz file: {example['latents'].size()}")
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print(f"sample has latents from npz file: {example['latents'].size()}")
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for j, (ik, cap, lw, iid) in enumerate(zip(example['image_keys'], example['captions'], example['loss_weights'], example['input_ids'])):
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for j, (ik, cap, lw, iid) in enumerate(zip(example['image_keys'], example['captions'], example['loss_weights'], example['input_ids'])):
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