gdef.set_function_name(func->record->fdef().signature().name());
  gdef.set_gradient_func(grad->record->fdef().signature().name());
  status->status = g->graph.AddGradientDef(std::move(gdef));
}

int TF_GraphNumFunctions(TF_Graph* g) {
  tensorflow::mutex_lock l(g->mu);
  return g->graph.flib_def().num_functions();
}

int TF_GraphGetFunctions(TF_Graph* g, TF_Function** funcs, int max_func,

// Returns the number of TF_Functions registered in `g`.
TF_CAPI_EXPORT extern int TF_GraphNumFunctions(TF_Graph* g);

// Fills in `funcs` with the TF_Function* registered in `g`.
// `funcs` must point to an array of TF_Function* of length at least
// `max_func`. In usual usage, max_func should be set to the result of
// TF_GraphNumFunctions(g). In this case, all the functions registered in