api_impl.h

/* Copyright (c) 2018 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 <glog/logging.h>

#include <map>
#include <memory>
#include <string>
#include <vector>

#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/lod_tensor_array.h"
#include "paddle/fluid/framework/naive_executor.h"
#include "paddle/fluid/inference/api/details/reset_tensor_array.h"
#include "paddle/fluid/inference/api/paddle_api.h"
#include "paddle/fluid/inference/api/paddle_inference_api.h"
#include "paddle/fluid/inference/io.h"
#include "paddle/fluid/platform/init.h"
#include "paddle/fluid/platform/place.h"
#include "paddle/fluid/platform/profiler.h"
#include "paddle/phi/core/ddim.h"

namespace paddle {

namespace framework {
class Scope;
}  // namespace framework

class NativePaddlePredictor : public PaddlePredictor {
 public:
  explicit NativePaddlePredictor(const NativeConfig &config)
      : config_(config) {}

  // will only create sub scope if have global scope
  bool Init(std::shared_ptr<framework::Scope> parent_scope);

  bool Run(const std::vector<PaddleTensor> &inputs,
           std::vector<PaddleTensor> *output_data,
           int batch_size = -1) override;

  std::unique_ptr<PaddlePredictor> Clone() override;

  ~NativePaddlePredictor() override;

  framework::Scope *scope() { return sub_scope_ ? sub_scope_ : scope_.get(); }

 protected:
  bool SetFeed(const std::vector<PaddleTensor> &input_datas,
               framework::Scope *scope);
  bool GetFetch(std::vector<PaddleTensor> *output_data,
                framework::Scope *scope);
  template <typename T>
  void GetFetchOne(const framework::LoDTensor &fetchs,
                   PaddleTensor *output_data);
  void PrepareFeedFetch();

  NativeConfig config_;
  platform::Place place_;
  std::unique_ptr<framework::Executor> executor_;
  std::shared_ptr<framework::Scope> scope_;
  std::unique_ptr<framework::ExecutorPrepareContext> ctx_;
  std::unique_ptr<framework::ProgramDesc> inference_program_;
  std::vector<framework::OpDesc *> feeds_;
  std::map<std::string, size_t> feed_names_;
  std::vector<framework::OpDesc *> fetchs_;
  // Memory buffer for feed inputs. The temporary LoDTensor will cause serious
  // concurrency problems, wrong results and memory leak, so cache them.
  std::vector<framework::LoDTensor> feed_tensors_;
  // Do not use unique_ptr, use parent scope to delete
  framework::Scope *sub_scope_{nullptr};
  details::TensorArrayBatchCleaner tensor_array_batch_cleaner_;
  // A mutex to make Clone thread safe.
  std::mutex clone_mutex_;
};

}  // namespace paddle