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51 lines
1.6 KiB
51 lines
1.6 KiB
7 years ago
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include "paddle/framework/block_desc.h"
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#include "paddle/framework/lod_tensor.h"
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#include "paddle/framework/program_desc.h"
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namespace paddle {
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class InferenceEngine {
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public:
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InferenceEngine() : program_(nullptr), load_program_(nullptr) {}
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~InferenceEngine() {
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delete program_;
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delete load_program_;
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}
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void LoadInferenceModel(const std::string& dirname,
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const std::vector<std::string>& feed_var_names,
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const std::vector<std::string>& fetch_var_names);
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void Execute(const std::vector<framework::LoDTensor>& feeds,
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std::vector<framework::LoDTensor>& fetchs);
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private:
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bool IsParameter(const framework::VarDesc* var);
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void GenerateLoadProgram(const std::string& dirname);
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void PrependFeedOp();
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void AppendFetchOp();
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private:
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framework::ProgramDesc* program_;
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framework::ProgramDesc* load_program_;
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std::vector<std::string> feed_var_names_;
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std::vector<std::string> fetch_var_names_;
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};
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} // namespace paddle
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