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# torch.floor_divide

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

  Note

  Before PyTorch 1.13 `torch.floor_divide()` incorrectly performed truncation division. To restore the previous behavior use `torch.div()` with `rounding_mode='trunc'`.

  Computes `input` divided by `other`, elementwise, and floors the result.

  out i=floor(input i other i)\text{{out}}_i = \text{floor} \left( \frac{{\text{{input}}_i}}{{\text{{other}}_i}} \right) out i​=floor(other i​input i​​)

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

  Parameters:

    - input (Tensor or Number) – the dividend

    - other (Tensor or Number) – the divisor

  Keyword Arguments:

    out (Tensor, optional) – the output tensor.

  Example:

      >>> a = torch.tensor([4.0, 3.0])
      >>> b = torch.tensor([2.0, 2.0])
      >>> torch.floor_divide(a, b)
      tensor([2.0, 1.0])
      >>> torch.floor_divide(a, 1.4)
      tensor([2.0, 2.0])

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