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
I trained the us_mobilenet_v1 on a different dataset and when loading the best_model_bn_calibrated.pt, I get lots of size mismatch errors for bn running_mean and running_var.
Any idea on how to overcome these errors?
Also, in your opinion is is possible to train the universally slimmable model to lower widths than 0.25 (e.g. 0.1, 0.15) ?
The text was updated successfully, but these errors were encountered:
I trained the us_mobilenet_v1 on a different dataset and when loading the best_model_bn_calibrated.pt, I get lots of size mismatch errors for bn running_mean and running_var.
Any idea on how to overcome these errors?
Also, in your opinion is is possible to train the universally slimmable model to lower widths than 0.25 (e.g. 0.1, 0.15) ?
The text was updated successfully, but these errors were encountered: