code: def _gelu(x):
      """
      Gaussian Error Linear Unit. Original Implementation of the gelu activation function in Google Bert repo when
      initially created. For information: OpenAI GPT's gelu is slightly different (and gives slightly different results):
      0.5 * x * (1 + torch.tanh(math.sqrt(2 / math.pi) * (x + 0.044715 * torch.pow(x, 3)))) Also see
      https://arxiv.org/abs/1606.08415
      """
      x = tf.convert_to_tensor(x)
      cdf = 0.5 * (
          1.0 + tf.math.erf(x / tf.cast(tf.sqrt(2.0), x.dtype))
      )
  
      return x * cdf
  
file_path: transformers/src/transformers/activations_tf.py
imports: import math
  import tensorflow
  from packaging import version
label_desc: Use image node_id 1 for calling a global function with example usage: _gelu(x) and returns: unknown