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
If the channel argument is set to None, keep the filter kernel with only one channel and then in the forward pass use PyTorch's .expand() function to match the input's channel count. I'm uncertain of the performance impact so only having this as an optional behavior seems safest.
This helps with testing before finalizing a design since you don't have to change the channel argument each time the channel count changes.
The text was updated successfully, but these errors were encountered:
If the channel argument is set to None, keep the filter kernel with only one channel and then in the forward pass use PyTorch's .expand() function to match the input's channel count. I'm uncertain of the performance impact so only having this as an optional behavior seems safest.
This helps with testing before finalizing a design since you don't have to change the channel argument each time the channel count changes.
The text was updated successfully, but these errors were encountered: