I counted the parameter number and FLOPs of MFNet, the
parameter number is computed by the code
model = MFNET_3D(num_classes=101)
params = sum(p.numel() for p in model.parameters())
outputs a same result 7996368 as shown in the paper: 8.0 M.
But the FLOPs I got is different from the result in the paper, so whether you can show me the code you compute the FLOPS, especially for the nn.Conv3d layer, I think I made some mistake of computing the FLOPS of nn.Conv3d layer.