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# torch.remainder

torch.remainder(input, other, *, out=None) → Tensor

  Computes Python’s modulus operation entrywise. The result has the same sign as the divisor `other` and its absolute value is less than that of `other`.

  It may also be defined in terms of `torch.div()` as

      torch.remainder(a, b) == a - a.div(b, rounding_mode="floor") * b

  Supports broadcasting to a common shape, type promotion, and integer and float inputs.

  Note

  Complex inputs are not supported. In some cases, it is not mathematically possible to satisfy the definition of a modulo operation with complex numbers. See `torch.fmod()` for how division by zero is handled.

  See also

  `torch.fmod()` which implements C++’s std::fmod. This one is defined in terms of division rounding towards zero.

  Parameters:

    - input (Tensor or Scalar) – the dividend

    - other (Tensor or Scalar) – the divisor

  Keyword Arguments:

    out (Tensor, optional) – the output tensor.

  Example:

      >>> torch.remainder(torch.tensor([-3., -2, -1, 1, 2, 3]), 2)
      tensor([ 1.,  0.,  1.,  1.,  0.,  1.])
      >>> torch.remainder(torch.tensor([1, 2, 3, 4, 5]), -1.5)
      tensor([ -0.5000, -1.0000,  0.0000, -0.5000, -1.0000 ])

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