for (int i = 0; i < ninputs; ++i) {
    input_names[i] = c_input_names[i];
  }
  for (int i = 0; i < noutputs; ++i) {
    output_names[i] = c_output_names[i];
  }
  for (int i = 0; i < ntargets; ++i) {
    target_oper_names[i] = c_target_oper_names[i];
  }
  string new_handle;
  status->status = s->session->PRunSetup(input_names, output_names,

// See TF_SessionRun() above.
TF_CAPI_EXPORT extern void TF_Run(TF_DeprecatedSession*,
                                  const TF_Buffer* run_options,
                                  const char** input_names, TF_Tensor** inputs,
                                  int ninputs, const char** output_names,
                                  TF_Tensor** outputs, int noutputs,

            `Model.predict_step`.
        *   SavedModel uses its own `Model._saved_model_inputs_spec` attr now
            instead of relying on `Model.inputs` and `Model.input_names`, which
            are no longer set for subclass Models. This attr is set in eager,
            `tf.function`, and graph modes. This gets rid of the need for users