torch.Tensor.imag
Tensor.imag
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.

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])