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82 lines
2.9 KiB
82 lines
2.9 KiB
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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 <glog/logging.h>
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#include <map>
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#include <memory>
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#include <string>
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#include <vector>
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#include "paddle/fluid/framework/ddim.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/lod_tensor_array.h"
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#include "paddle/fluid/framework/naive_executor.h"
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#include "paddle/fluid/inference/api/details/reset_tensor_array.h"
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#include "paddle/fluid/inference/api/paddle_inference_api.h"
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#include "paddle/fluid/inference/io.h"
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#include "paddle/fluid/platform/init.h"
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#include "paddle/fluid/platform/profiler.h"
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namespace paddle {
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class NativePaddlePredictor : public PaddlePredictor {
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public:
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explicit NativePaddlePredictor(const NativeConfig &config)
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: config_(config) {}
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// will only create sub scope if have global scope
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bool Init(std::shared_ptr<framework::Scope> parent_scope);
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bool Run(const std::vector<PaddleTensor> &inputs,
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std::vector<PaddleTensor> *output_data,
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int batch_size = -1) override;
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std::unique_ptr<PaddlePredictor> Clone() override;
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~NativePaddlePredictor() override;
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framework::Scope *scope() { return sub_scope_ ? sub_scope_ : scope_.get(); }
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protected:
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bool SetFeed(const std::vector<PaddleTensor> &input_datas,
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framework::Scope *scope);
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bool GetFetch(std::vector<PaddleTensor> *output_data,
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framework::Scope *scope);
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template <typename T>
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void GetFetchOne(const framework::LoDTensor &fetchs,
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PaddleTensor *output_data);
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void PrepareFeedFetch();
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NativeConfig config_;
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platform::Place place_;
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std::unique_ptr<framework::Executor> executor_;
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std::shared_ptr<framework::Scope> scope_;
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std::unique_ptr<framework::ExecutorPrepareContext> ctx_;
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std::unique_ptr<framework::ProgramDesc> inference_program_;
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std::vector<framework::OpDesc *> feeds_;
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std::map<std::string, size_t> feed_names_;
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std::vector<framework::OpDesc *> fetchs_;
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// Memory buffer for feed inputs. The temporary LoDTensor will cause serious
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// concurrency problems, wrong results and memory leak, so cache them.
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std::vector<framework::LoDTensor> feed_tensors_;
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// Do not use unique_ptr, use parent scope to delete
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framework::Scope *sub_scope_{nullptr};
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details::TensorArrayBatchCleaner tensor_array_batch_cleaner_;
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// A mutex to make Clone thread safe.
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std::mutex clone_mutex_;
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};
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} // namespace paddle
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