code: def get_tf_activation(activation_string):
      if activation_string in ACT2FN:
          return ACT2FN[activation_string]
      else:
          raise KeyError(
              f"function {activation_string} not found in ACT2FN mapping {list(ACT2FN.keys())}"
          )
  
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 8 for calling a global function with example usage: get_tf_activation(activation_string) and returns: ACT2FN