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padding="same" and groups=in_channels in 3D convolution not supported #36

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GDLmazari opened this issue Apr 25, 2024 · 0 comments
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@GDLmazari
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GDLmazari commented Apr 25, 2024

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.

Thank you for your help.

@GDLmazari GDLmazari changed the title AssertionError: padding="same" and groups= AssertionError: padding="same" and groups=in_channels in 3D convolution not supported Apr 25, 2024
@GDLmazari GDLmazari changed the title AssertionError: padding="same" and groups=in_channels in 3D convolution not supported padding="same" and groups=in_channels in 3D convolution not supported Apr 25, 2024
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