code: def ndtr(x: Tensor) -> Tensor:
      """The normal cumulative distribution function (CDF).
  
      Args:
          x: the input tensor.
  
      Returns:
          the area under the standard Normal probability density function (PDF),
          integrated from negative infinity to :math:`x`.
      """
      x = x.to(torch.float) * math.sqrt(0.5)
  
      y = 0.5 * torch.erfc(abs(x))
  
      return torch.where(
          abs(x) < math.sqrt(0.5),
          0.5 + 0.5 * torch.erf(x),
          torch.where(
              x > 0,
              1 - y,
              y,
          ),
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: ndtr(x) and returns: torch