code: def gelu_10(x):
      """
      Clip the range of possible GeLU outputs between [-10, 10]. This is especially useful for quantization purpose, as
      it allows mapping 2 negatives values in the GeLU spectrum. For more information on this trick, please refer to
      https://arxiv.org/abs/2004.09602
  
      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 :param x: :return:
      """
      return tf.clip_by_value(_gelu(x), -10, 10)
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/activations_tf.py
imports: import math
  import tensorflow
  from packaging import version
label_desc: Use image node_id 6 for calling a global function with example usage: gelu_10(x) and returns: tf