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fix returned dtypes for LLaVA (#1547)
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@ -245,7 +245,9 @@ def tokenizer_modifier(state, prompt, input_ids, input_embeds):
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prompt, input_ids, input_embeds, total_embedded = llava_embedder.forward(prompt, images, state)
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print(f'LLaVA - Embedded {total_embedded} image(s) in {time.time()-start_ts:.2f}s')
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return prompt, input_ids.unsqueeze(0).to(shared.model.device), input_embeds.unsqueeze(0).to(shared.model.device)
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return (prompt,
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input_ids.unsqueeze(0).to(shared.model.device, dtype=torch.int64),
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input_embeds.unsqueeze(0).to(shared.model.device, dtype=shared.model.dtype))
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def ui():
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