code: def approx_standard_normal_cdf(x):
      """
      A fast approximation of the cumulative distribution function of the
      standard normal.
      """
      return 0.5 * (
          1.0
          + th.tanh(
              np.sqrt(2.0 / np.pi) * (x + 0.044715 * th.pow(x, 3))
          )
      )
  
imports: import enum
  import math
  import numpy
  import torch
  import torch
  from tqdm import tqdm
  from TTS.tts.layers.tortoise.dpm_solver import DPM_Solver, NoiseScheduleVP, model_wrapper
label_desc: Use image node_id 2 for calling a global function with example usage: approx_standard_normal_cdf(x) and returns: unknown