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])
