code: def run(self, fct, input_):
      
      # TF 2.0
      if tf.executing_eagerly():
        return fct(input_).numpy()
      # TF 1.0
      else:
        # Should compile the function if this is the first time encountered
        if not isinstance(input_, np.ndarray):
          input_ = np.array(input_)
        run_args = RunArgs(fct=fct, input=input_)
        signature = self._build_signature(run_args)
        if signature not in self._graph_run_cache:
          graph_run = self._build_graph_run(run_args)
          self._graph_run_cache[signature] = graph_run
        else:
          graph_run = self._graph_run_cache[signature]
  
        # Then execute the cached graph
        return graph_run.session.run(
            graph_run.output,
            feed_dict={graph_run.placeholder: input_},
        )
docs: Execute the given TensorFlow function.