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# torch.div

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

  Divides each element of the input `input` by the corresponding element of `other`.

  out i=input i other i\text{out}_i = \frac{\text{input}_i}{\text{other}_i} out i​=other i​input i​​

  Note

  By default, this performs a “true” division like Python 3. See the `rounding_mode` argument for floor division.

  Supports broadcasting to a common shape, type promotion, and integer, float, and complex inputs. Always promotes integer types to the default scalar type.

  Parameters:

    - input (Tensor) – the dividend

    - other (Tensor or Number) – the divisor

  Keyword Arguments:

    - rounding_mode (str, optional) –

      Type of rounding applied to the result:

      - None - default behavior. Performs no rounding and, if both `input` and `other` are integer types, promotes the inputs to the default scalar type. Equivalent to true division in Python (the `/` operator) and NumPy’s `np.true_divide`.

      - `"trunc"` - rounds the results of the division towards zero. Equivalent to C-style integer division.

      - `"floor"` - rounds the results of the division down. Equivalent to floor division in Python (the `//` operator) and NumPy’s `np.floor_divide`.

    - out (Tensor, optional) – the output tensor.

  Examples:

      >>> x = torch.tensor([ 0.3810,  1.2774, -0.2972, -0.3719,  0.4637])
      >>> torch.div(x, 0.5)
      tensor([ 0.7620,  2.5548, -0.5944, -0.7438,  0.9274])

      >>> a = torch.tensor([[-0.3711, -1.9353, -0.4605, -0.2917],
      ...                   [ 0.1815, -1.0111,  0.9805, -1.5923],
      ...                   [ 0.1062,  1.4581,  0.7759, -1.2344],
      ...                   [-0.1830, -0.0313,  1.1908, -1.4757]])
      >>> b = torch.tensor([ 0.8032,  0.2930, -0.8113, -0.2308])
      >>> torch.div(a, b)
      tensor([[-0.4620, -6.6051,  0.5676,  1.2639],
              [ 0.2260, -3.4509, -1.2086,  6.8990],
              [ 0.1322,  4.9764, -0.9564,  5.3484],
              [-0.2278, -0.1068, -1.4678,  6.3938]])

      >>> torch.div(a, b, rounding_mode='trunc')
      tensor([[-0., -6.,  0.,  1.],
              [ 0., -3., -1.,  6.],
              [ 0.,  4., -0.,  5.],
              [-0., -0., -1.,  6.]])

      >>> torch.div(a, b, rounding_mode='floor')
      tensor([[-1., -7.,  0.,  1.],
              [ 0., -4., -2.,  6.],
              [ 0.,  4., -1.,  5.],
              [-1., -1., -2.,  6.]])

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