[BUG] Captum tutorial fails when visualize_image_attr() receives None for original_image

There is the following issue on this page: https://docs.pytorch.org/tutorials/beginner/introyt/captumyt.html

Hi PyTorch Team,

I got an an error when following the tutorial Model Understanding with Captum part. The issue is within Feature Attribution with Integrated Gradients section. The tutorial uses :
"""
_ = viz.visualize_image_attr(
None,
np.transpose(
transformed_img.squeeze().cpu().detach().numpy(),
(1, 2, 0)
),
method="original_image",
title="Original Image"
)
"""

When running that cell, I'm getting this error :
"""
AttributeError: 'NoneType' object has no attribute 'shape'
"""

The traceback points to captum/attr/_utils/visualization.py, where visualize_image_attr() attempts to access attr.shape. Since the tutorial passes None as attr, this fails before the "original_image" visualization is produced.

======================================================

My utilised env:
"""
PyTorch version: 2.10.0
TorchVision version: 0.25.0
Python version: 3.14.7
OS: macOS 26.6.2 arm64
CPU: Apple M4 Pro
NumPy: 2.4.2
Captum: <0.9.0>
"""

and python3 -m torch.utils.collect_env output:
"""
Collecting environment information...
PyTorch version: 2.10.0
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 26.6.2 (arm64)
Clang version: 17.0.0

Python version: 3.14.7
Python platform: macOS-26.6.2-arm64-arm-64bit-Mach-O
Is CUDA available: False
Is XPU available: False
Is XNNPACK available: True

CPU:
Apple M4 Pro

Versions of relevant libraries:
numpy==2.4.2
torch==2.10.0
torchvision==0.25.0
"""

Since, the page current verfied date is Nov 05, 2024, it might be an update/compatibility issue.

Best !

Start with the Captum tutorial page at docs.pytorch.org/tutorials/beginner/introyt/captumyt.html, specifically the Feature Attribution with Integrated Gradients section and its visualize_image_attr() cell. Reproduce the AttributeError, then inspect Captum's attr/_utils/visualization.py behavior for a None input. Done means the tutorial cell runs successfully and produces the intended original-image visualization.