[Model] Multi-input support for LLaVA (#8238)
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@@ -110,7 +110,7 @@ def input_processor_for_siglip(
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if isinstance(image_data, Image.Image):
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image_feature_size = get_siglip_image_feature_size(hf_config)
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elif isinstance(image_data, torch.Tensor):
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image_feature_size = image_data.shape[0]
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num_images, image_feature_size, hidden_size = image_data.shape
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else:
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raise TypeError(f"Invalid image type: {type(image_data)}")
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else:
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