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# torch.isclose

torch.isclose(input, other, rtol=1e-05, atol=1e-08, equal_nan=False) → Tensor

  Returns a new tensor with boolean elements representing if each element of `input` is “close” to the corresponding element of `other`. Closeness is defined as:

  ∣input−other∣≤atol+rtol×∣other∣\lvert \text{input} - \text{other} \rvert \leq \texttt{atol} + \texttt{rtol} \times \lvert \text{other} \rvert ∣input−other∣≤atol+rtol×∣other∣

  where `input` and `other` are finite. Where `input` and/or `other` are nonfinite they are close if and only if they are equal, with NaNs being considered equal to each other when `equal_nan` is True.

  Parameters:

    - input (Tensor) – first tensor to compare

    - other (Tensor) – second tensor to compare

    - atol (float, optional) – absolute tolerance. Default: 1e-08

    - rtol (float, optional) – relative tolerance. Default: 1e-05

    - equal_nan (bool, optional) – if `True`, then two `NaN` s will be considered equal. Default: `False`

  Examples:

      >>> torch.isclose(torch.tensor((1., 2, 3)), torch.tensor((1 + 1e-10, 3, 4)))
      tensor([ True, False, False])
      >>> torch.isclose(torch.tensor((float('inf'), 4)), torch.tensor((float('inf'), 6)), rtol=.5)
      tensor([True, True])

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