\sqrt{k}) where k = \frac{groups}{C_\text{in} *
        \prod_{i=0}^{2}\text{kernel_size}[i]}
Examples:
  >>> # With square kernels and equal stride
  >>> m = nn.Conv3d(16, 33, 3, stride=2)
  >>> # non-square kernels and unequal stride and with padding
  >>> m = nn.Conv3d(16, 33, (3, 5, 2), stride=(2, 1, 1), padding=(4, 2, 0))
  >>> input = torch.randn(20, 16, 10, 50, 100)
  >>> output = m(input)
