input = torch.autograd.Variable(torch.randn(1, 2*4, 4, 4)) conv=torch.nn.Conv2d(in_channels=2*4,out_channels=3*4,kernel_size=3,groups=4) output=conv2(input)
run the code, I  got  output as 1x12x2x2=1x3*4x2x2: Is it mean output channel 3:5 is got equally
as
’conv1=torch.nn.Conv2d(in_channels=2,out_channels=3,kernel_size=3,groups=1)
output1=conv1(input[:,3:5,:,:])’ ？
If ignore difference from intialization of W and b, ‘output[:,3:5，：，：] is equal to output1’?