you should be doing this
self.conv1 = nn.Conv2d(3, 6, kernel_size=80)
self.conv2 = nn.Conv2d(6, 16, kernel_size=80)

instead of

self.conv1 = nn.Conv2d(1, 6, kernel_size=80, in_channels=3)
self.conv2 = nn.Conv2d(6, 16, kernel_size=80, in_channels=3)


This is how nn.Conv2d takes parameters.
nn.Conv2d(in_channels=3, out_channels=6, kernel_size=80)
in your case you had 1 as input parameter for no of input channels and again had in_channels=3.