code: def gelu_fast(x):
      x = tf.convert_to_tensor(x)
      coeff1 = tf.cast(0.044715, x.dtype)
      coeff2 = tf.cast(0.7978845608, x.dtype)
  
      return (
          0.5 * x * (1.0 + tf.tanh(x * coeff2 * (1.0 + coeff1 * x * x)))
      )
  
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 4 for calling a global function with example usage: gelu_fast(x) and returns: unknown