code: def approx_standard_normal_cdf(x):
      """
      A fast approximation of the cumulative distribution function of the
      standard normal.
      """
      return 0.5 * (
          1.0
          + paddle.tanh(
              np.sqrt(2.0 / np.pi) * (x + 0.044715 * paddle.pow(x, 3))
          )
      )
  
file_path: PaddleHub/modules/image/text_to_image/disco_diffusion_ernievil_base/reverse_diffusion/model/losses.py
imports: import numpy
  import paddle
  import paddle.nn.functional
label_desc: Use image node_id 2 for calling a global function with example usage: approx_standard_normal_cdf(x) and returns: unknown