torch.frexp
torch.frexp(input, *, out=None) -> (Tensor mantissa, Tensor exponent)
Decomposes "input" into mantissa and exponent tensors such that
   \text{input} = \text{mantissa} \times 2^{\text{exponent}}.
The range of mantissa is the open interval (-1, 1).
Supports float inputs.
Parameters:
      input (Tensor) -- the input tensor
Keyword Arguments:
      out (tuple, optional) -- the output tensors
Example:
  >>> x = torch.arange(9.)
  >>> mantissa, exponent = torch.frexp(x)
  >>> mantissa
  tensor([0.0000, 0.5000, 0.5000, 0.7500, 0.5000, 0.6250, 0.7500, 0.8750, 0.5000])
  >>> exponent
  tensor([0, 1, 2, 2, 3, 3, 3, 3, 4], dtype=torch.int32)
  >>> torch.ldexp(mantissa, exponent)
  tensor([0., 1., 2., 3., 4., 5., 6., 7., 8.])
