Hi, I have a dataset that has the channel dimension as last, obviously pytorch find it not suitable for the CNN that i’m usinng
   self.conv2d = nn.Sequential(
                nn.Conv2d(1, 64, (3,6), (1, 1)),
                nn.ReLU()
            )

the dataset has as dimensions: samples x 10 x 6 x 1.
What should i do? For now I’m transposing the data but the network is not performing well.