The error is raised by an nn.Conv2d layer, which expects an input with 3 channels, while it seems you are trying to pass an input tensor with 5 channels (in a wrong memory layout) to this layer.
Assuming my assumption is correct and your input contains 5 channels, you would have to first permute it to the channels-first format via input = input.permute(0, 3, 1, 2) and then either make sure to use 3 channels in the input tensor or change the first conv layer to accept 5 channels.