// Copyright (c) 2019 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 "paddle/fluid/lite/api/cxx_api.h" #include #include #include #include #include "paddle/fluid/lite/utils/io.h" namespace paddle { namespace lite { void Predictor::SaveModel(const std::string &dir) { #ifndef LITE_WITH_ARM LOG(INFO) << "Save model to " << dir; MkDirRecur(dir); program_->PersistModel(dir, program_desc_); #else LOG(INFO) << "Save model to ./"; program_->PersistModel("./", program_desc_); #endif } lite::Tensor *Predictor::GetInput(size_t offset) { auto *_feed_list = program_->exec_scope()->FindVar("feed"); CHECK(_feed_list) << "no feed variable in exec_scope"; auto *feed_list = _feed_list->GetMutable>(); if (offset >= feed_list->size()) { feed_list->resize(offset + 1); } return &feed_list->at(offset); } const lite::Tensor *Predictor::GetOutput(size_t offset) { auto *_fetch_list = program_->exec_scope()->FindVar("fetch"); CHECK(_fetch_list) << "no fatch variable in exec_scope"; auto &fetch_list = *_fetch_list->GetMutable>(); CHECK_LT(offset, fetch_list.size()) << "offset " << offset << " overflow"; return &fetch_list.at(offset); } void Predictor::Build(const std::string &model_path, const Place &prefer_place, const std::vector &valid_places) { LoadModel(model_path, scope_.get(), &program_desc_); Build(program_desc_, prefer_place, valid_places); } const framework::proto::ProgramDesc &Predictor::program_desc() const { return program_desc_; } } // namespace lite } // namespace paddle