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# torch.frexp

torch.frexp(input, *, out=None) -> (Tensor mantissa, Tensor exponent)

  Decomposes `input` into mantissa and exponent tensors such that input=mantissa×2 exponent\text{input} = \text{mantissa} \times 2^{\text{exponent}}input=mantissa×2 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.])

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