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# torch.isin

torch.isin(elements, test_elements, *, assume_unique=False, invert=False) → Tensor

  Tests if each element of `elements` is in `test_elements`. Returns a boolean tensor of the same shape as `elements` that is True for elements in `test_elements` and False otherwise.

  Note

  One of `elements` or `test_elements` can be a scalar, but not both.

  Parameters:

    - elements (Tensor or Scalar) – Input elements

    - test_elements (Tensor or Scalar) – Values against which to test for each input element

    - assume_unique (bool, optional) – If True, assumes both `elements` and `test_elements` contain unique elements, which can speed up the calculation. Default: False

    - invert (bool, optional) – If True, inverts the boolean return tensor, resulting in True values for elements not in `test_elements`. Default: False

  Returns:

    A boolean tensor of the same shape as `elements` that is True for elements in `test_elements` and False otherwise

  Example

      >>> torch.isin(torch.tensor([[1, 2], [3, 4]]), torch.tensor([2, 3]))
      tensor([[False,  True],
              [ True, False]])

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