code: def gelu(x):
      """Gaussian Error Linear Unit.
  
      This is a smoother version of the RELU.
      Original paper: https://arxiv.org/abs/1606.08415
      Args:
          x: float Tensor to perform activation.
  
      Returns:
          `x` with the GELU activation applied.
      """
      cdf = 0.5 * (
          1.0
          + tf.tanh(
              (np.sqrt(2 / np.pi) * (x + 0.044715 * tf.pow(x, 3)))
          )
      )
      return x * cdf
  
imports: import copy
  import json
  import math
  import numpy
  import tensorflow
  import functools
  from transformers.activations_tf import gelu
  from finetune.optimizers.recompute_grads import recompute_grad
  from finetune.nn.auxiliary import embed_position
label_desc: Use image node_id 1 for calling a global function with example usage: gelu(x) and returns: unknown