Hello, I tried to use a 4x4 convolution with ‘same’ padding like this:
conv = nn.Conv2d(
                 in_channels = in_channels,
                 out_channels = out_channels,
                 kernel_size = 4,
                 stride =  1,
                 padding =  'same',
                 bias = False
                              )

I don’t get any errors, and it seems that it works fine since the input and output tensors do have the size…
But I get this UserWarning which I am curious to know what exactly does it mean and wither I should be aware of any problems

UserWarning: Using padding=‘same’ with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /pytorch/aten/src/ATen/native/Convolution.cpp:660.)

Thank you.