};

struct TF_DeviceList {
  std::vector<tensorflow::DeviceAttributes> response;
};

struct TF_Function {
  tensorflow::FunctionRecord* record;
};

struct TF_ApiDefMap {
  explicit TF_ApiDefMap(const tensorflow::OpList& op_list)
      :
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
        api_def_map(op_list),
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

//
// The ApiDef messages are typically used to generate convenience wrapper
// functions for TensorFlow operations in various language bindings.
typedef struct TF_ApiDefMap TF_ApiDefMap;

// Creates a new TF_ApiDefMap instance.
//
// Params:
//  op_list_buffer - TF_Buffer instance containing serialized OpList
//    protocol buffer. (See

  return status->status.ok();
}

TF_ApiDefMap* TF_NewApiDefMap(TF_Buffer* op_list_buffer, TF_Status* status) {
  tensorflow::OpList op_list;
  if (!op_list.ParseFromArray(op_list_buffer->data, op_list_buffer->length)) {
    status->status = InvalidArgument("Unparseable OpList");
    return nullptr;
  }
  status->status = absl::OkStatus();
  return new TF_ApiDefMap(op_list);
}