[BUG] - ndarray not hashable in AverageStability metric

[adubowski]

Select the modules to which the bug refers:

• [ ] Attributions Methods
• [ ] Feature Visualization
• [ ] Concepts
• [x] Metrics
• [ ] Documentation

Describe the bug While running the Average Stability metric, I receive the unhashable type error regardless of whether I pass the images and labels as tensor or numpy array.

Screenshots

Desktop (please complete the following information):

• Windows 10
• Python version: 3.8.10
• Tensorflow version: 2.10.1
• Packages used version: numpy: 1.23.5

To Reproduce Run AverageStability metric with np array of images and labels array of the same length.

Expected behavior I expected to just receive a score just like with Deletion and Insertion metrics, which worked right away.

[lucashervier]

Hello, we have made some modifications. Can you try with the newest version and update me if it is still an issue?