code: def ndtr(x: Tensor) -> Tensor:
      r"""Standard normal CDF."""
      half, neg_inv_sqrt_2 = get_constants_like(
          (0.5, _neg_inv_sqrt_2), x
      )
      return half * torch.erfc(neg_inv_sqrt_2 * x)
  
imports: from __future__ import annotations
  import math
  from functools import lru_cache
  from math import pi
  from numbers import Number
  from typing import Any, Callable, Iterable, Iterator, Optional, Tuple, Union
  import torch
  from botorch.utils.safe_math import logdiffexp
  from numpy.polynomial.legendre import leggauss
  from torch import BoolTensor, LongTensor, Tensor
label_desc: Use image node_id 7 for calling a global function with example usage: ndtr(x) and returns: unknown