// 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. #pragma once #include "paddle/fluid/lite/core/op_executor.h" #include "paddle/fluid/lite/core/op_lite.h" #include "paddle/fluid/lite/model_parser/model_parser.h" namespace paddle { namespace lite { struct Config {}; class Predictor { public: Predictor() { scope_ = std::make_shared(); } void Build(const std::string& model_path, const std::vector& valid_places) { CHECK(!executor_.get()) << "duplicate build found"; CHECK(!scope_.get()) << "duplicate build found"; framework::proto::ProgramDesc prog; LoadModel(model_path, scope_.get(), &prog); framework::ProgramDesc prog_desc(prog); executor_.reset(new Executor(prog_desc, scope_.get(), valid_places)); } // Get a tensor for input from scope directly. Tensor* GetInputTensor(const std::string& name) { auto* var = executor_->exec_scope()->FindVar(name); CHECK(var) << "no tensor called " << name << " exists"; return var->GetMutable(); } // Get a tensor for output from scope directly. const Tensor* GetOutputTensor(const std::string& name) { auto* var = executor_->exec_scope()->FindVar(name); CHECK(var) << "no tensor called " << name << " exists"; return &var->Get(); } void Run() { executor_->Run(); } private: std::shared_ptr scope_; std::unique_ptr executor_; }; } // namespace lite } // namespace paddle