"torch.nn.Module"
  * **args** -- args to pass to the module's constructor

  * **kwargs** -- kwargs to pass to the module's constructor

Returns:
      Instantiated module with uninitialized parameters / buffers
Example:
  >>> import torch
  >>> m = torch.nn.utils.skip_init(torch.nn.Linear, 5, 1)
  >>> m.weight
  Parameter containing:
  tensor([[0.0000e+00, 1.5846e+29, 7.8307e+00, 2.5250e-29, 1.1210e-44]],
         requires_grad=True)
  >>> m2 = torch.nn.utils.skip_init(torch.nn.Linear, in_features=6, out_features=1)
  >>> m2.weight
  Parameter containing:
  tensor([[-1.4677e+24,  4.5915e-41,  1.4013e-45,  0.0000e+00, -1.4677e+24,
            4.5915e-41]], requires_grad=True)
