0it 0000 itsTraceback most recent call last File mntdisk1lhcodeCuPLclassify_imagenetpy line 66 in module zeroshot_weights_base = zeroshot_classifierall_imagesidx_to_label all_imagesidx_to_text ima

This error occurs because the zeroshot_weights list is empty when trying to stack the tensors using torch.stack function.

To fix this error, you need to make sure that the zeroshot_weights list is not empty before calling torch.stack. You can add a check to verify if the list is empty and handle it accordingly.

Here's an example of how you can modify the code to handle the empty list case:

def zeroshot_classifier(idx_to_label, idx_to_text, templates):
    zeroshot_weights = []
    for label_idx in range(len(idx_to_label)):
        label = idx_to_label[label_idx]
        text = idx_to_text[label_idx]
        if text in templates:
            zeroshot_weights.append(templates[text])
        else:
            # Handle the case when the template is not available
            # You can either skip this label or assign a default value
            # For example, you can assign a tensor of zeros
            zeroshot_weights.append(torch.zeros_like(templates['default_template']))
    
    # Check if the zeroshot_weights list is empty
    if not zeroshot_weights:
        raise ValueError("No zeroshot weights found")
    
    # Stack the tensors using torch.stack
    zeroshot_weights = torch.stack(zeroshot_weights, dim=1).cuda()
    
    return zeroshot_weights

Make sure to adjust the code according to your specific requirements and available templates.