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# torch.isnan

torch.isnan(input) → Tensor

  Returns a new tensor with boolean elements representing if each element of `input` is NaN or not. Complex values are considered NaN when either their real and/or imaginary part is NaN.

  Parameters:

    input (Tensor) – the input tensor.

  Returns:

    A boolean tensor that is True where `input` is NaN and False elsewhere

  Example:

      >>> torch.isnan(torch.tensor([1, float('nan'), 2]))
      tensor([False, True, False])

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