// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include #include "general_model.h" // NOLINT #include // NOLINT namespace py = pybind11; using baidu::paddle_serving::general_model::FetchedMap; namespace baidu { namespace paddle_serving { namespace general_model { PYBIND11_MODULE(paddle_serving_client, m) { m.doc() = R"pddoc(this is a practice )pddoc"; py::class_(m, "PredictorClient", py::buffer_protocol()) .def(py::init()) .def("init", [](PredictorClient &self, const std::string &conf) { self.init(conf); }) .def("set_predictor_conf", [](PredictorClient &self, const std::string &conf_path, const std::string &conf_file) { self.set_predictor_conf(conf_path, conf_file); }) .def("create_predictor", [](PredictorClient &self) { self.create_predictor(); }) .def("predict", [](PredictorClient &self, const std::vector> &float_feed, const std::vector &float_feed_name, const std::vector> &int_feed, const std::vector &int_feed_name, const std::vector &fetch_name, FetchedMap *fetch_result) { return self.predict(float_feed, float_feed_name, int_feed, int_feed_name, fetch_name, fetch_result); }); } } // namespace general_model } // namespace paddle_serving } // namespace baidu