torch.imag
torch.imag(input) -> Tensor
Returns a new tensor containing imaginary values of the "self"
   tensor. The returned tensor and "self" share the same underlying
   storage.
Warning:
 "imag()" is only supported for tensors with complex dtypes.

Parameters:
      input (Tensor) -- the input tensor.
Example:
  >>> x=torch.randn(4, dtype=torch.cfloat)
  >>> x
  tensor([(0.3100+0.3553j), (-0.5445-0.7896j), (-1.6492-0.0633j), (-0.0638-0.8119j)])
  >>> x.imag
  tensor([ 0.3553, -0.7896, -0.0633, -0.8119])
