chetan_patil:

nn.Conv2d(in_channels=100, out_channels=100, groups=100, kernel_size= (3,3))


Hello @soulslicer, here it is.
ip = torch.randn(6, 100, 8, 10)
conv = nn.Conv2d(in_channels=100, out_channels=100, groups=100, kernel_size= (3,3))
op = conv(ip)
print(op.shape)
torch.Size([6, 100, 6, 8])