GPUTPCNNClusterizerHost.h

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// Copyright 2019-2020 CERN and copyright holders of ALICE O2.
// See https://alice-o2.web.cern.ch/copyright for details of the copyright holders.
// All rights not expressly granted are reserved.
//
// This software is distributed under the terms of the GNU General Public
// License v3 (GPL Version 3), copied verbatim in the file "COPYING".
//
// In applying this license CERN does not waive the privileges and immunities
// granted to it by virtue of its status as an Intergovernmental Organization
// or submit itself to any jurisdiction.
 
 
#ifndef O2_GPUTPCNNCLUSTERIZERHOST_H
#define O2_GPUTPCNNCLUSTERIZERHOST_H
 
#include <string>
#include <unordered_map>
#include <vector>
#include "ML/OrtInterface.h"
 
using namespace o2::ml;
 
namespace o2::OrtDataType
{
struct Float16_t;
}
 
namespace o2::gpu
{
 
class GPUTPCNNClusterizer;
struct GPUSettingsProcessingNNclusterizer;
 
class GPUTPCNNClusterizerHost
{
 public:
  GPUTPCNNClusterizerHost() = default;
  GPUTPCNNClusterizerHost(const GPUSettingsProcessingNNclusterizer&, GPUTPCNNClusterizer&);
 
  void networkInference(o2::ml::OrtModel model, GPUTPCNNClusterizer& clusterer, size_t size, float* output, int32_t dtype);
 
  std::unordered_map<std::string, std::string> OrtOptions;
  o2::ml::OrtModel model_class, model_reg_1, model_reg_2; // For splitting clusters
  std::vector<std::string> reg_model_paths;
 
 private:
  // Avoid including CommonUtils/StringUtils.h
  std::vector<std::string> splitString(const std::string& input, const std::string& delimiter)
  {
    std::vector<std::string> tokens;
    std::size_t pos = 0;
    std::size_t found;
 
    while ((found = input.find(delimiter, pos)) != std::string::npos) {
      tokens.push_back(input.substr(pos, found - pos));
      pos = found + delimiter.length();
    }
    tokens.push_back(input.substr(pos));
 
    return tokens;
  }
}; // class GPUTPCNNClusterizerHost
 
} // namespace o2::gpu
 
#endif