code: def get(identifier):
      if identifier is None:
          return tf_frontend.keras.activations.linear
  
      elif isinstance(identifier, str):
          return tf_frontend.keras.activations.deserialize(identifier)
  
      elif callable(identifier):
          return identifier
  
      else:
          raise ValueError(
              f"Could not interpret function identifier: {identifier}"
          )
  
file_path: ivy/ivy/functional/frontends/tensorflow/keras/activations.py
imports: import ivy
  import ivy.functional.frontends.tensorflow
  from ivy.functional.frontends.tensorflow.func_wrapper import to_ivy_arrays_and_back
  from ivy import with_supported_dtypes
label_desc: Use image node_id 4 for calling a global function with example usage: get(identifier) and returns: tf_frontend, tf_frontend, identifier