padding="same" and groups=in_channels in 3D convolution not supported

[GDLmazari]

I have tried to make a 3D convolutional layer with the following parameters: padding='same' and groups='in_channels' and l get an AssertionError. Either with tltorch.FactorizedConv() or tltorch.FactorizedConv.from_conv()

It seems that padding='same' with groups is not supported in tensorly.

• padding='same' in pytorch pytorch doc on padding
• groups= in_channels in pytorch groups in conv

Thank you for your help.

[JeanKossaifi]

Thanks for opening the issue! Could you share a minimal snippet of code to reproduce the issue?