
groups -- split input into groups, \text{in_channels}
        should be divisible by the number of groups. Default: 1

Examples:
  >>> # With square kernels and equal stride
  >>> filters = torch.randn(8, 4, 3, 3)
  >>> inputs = torch.randn(1, 4, 5, 5)
  >>> F.conv2d(inputs, filters, padding=1)
