code: def log_normal_cdf(x):
      """
      Computes the element-wise log standard normal CDF of an input tensor x.
  
      This function should always be preferred over calling normal_cdf and taking the log
      manually, as it is more numerically stable.
      """
      return LogNormalCDF.apply(x)
  
file_path: gpytorch/gpytorch/functions/__init__.py
imports: from __future__ import annotations
  import warnings
  from typing import Any
  import linear_operator
  import torch
  from ._log_normal_cdf import LogNormalCDF
  from .matern_covariance import MaternCovariance
  from .rbf_covariance import RBFCovariance
label_desc: Use image node_id 1 for calling a global function with example usage: log_normal_cdf(x) and returns: LogNormalCDF