You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
The text was updated successfully, but these errors were encountered:
Select the modules to which the bug refers:
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):
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.
The text was updated successfully, but these errors were encountered: