[manjirisharma]

Fixes #3963

Description

In the Model Understanding with Captum tutorial (beginner_source/introyt/captumyt.py), visualize_image_attr was called with None as the first argument when attempting to display the original image (method="original_image").

In Captum itself, visualize_image_attr(attr, original_image=None, ...) is expecting attr: npt.NDArray and proceeds to check len(attr.shape) == 3 before dispatching to any visualization method, so passing None will unconditionally raise an AttributeError: 'NoneType' object has no attribute 'shape' when executing that cell.

This PR fixes this issue by defining orig_img_np = np.transpose(transformed_img.squeeze().cpu().detach().numpy(), (1, 2, 0)) and passing orig_img_np as the array argument, thereby allowing the original image visualization cell to execute without error.

Checklist

• The issue that is being fixed is referred in the description (see above "Fixes #ISSUE_NUMBER")
• Only one issue is being addressed in this pull request
• Labels from the issue that this PR is fixing are added to this pull request
• No unnecessary issues are included into this pull request.

[pytorch-bot]

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