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GPUTPCNNClusterizer.h
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82 lines (67 loc) · 2.48 KB
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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.
/// \file GPUTPCNNClusterizer.h
/// \author Christian Sonnabend
#ifndef O2_GPUTPCNNCLUSTERIZER_H
#define O2_GPUTPCNNCLUSTERIZER_H
#include "ChargePos.h"
#include "GPUProcessor.h"
namespace o2::OrtDataType
{
struct Float16_t;
}
namespace o2::gpu
{
class GPUTPCNNClusterizer : public GPUProcessor
{
public:
GPUTPCNNClusterizer() = default;
void* setIOPointers(void*);
void RegisterMemoryAllocation();
void InitializeProcessor();
void SetMaxData(const GPUTrackingInOutPointers&);
// Neural network clusterization
int nnClusterizerSizeInputRow = 3;
int nnClusterizerSizeInputPad = 3;
int nnClusterizerSizeInputTime = 3;
int nnClusterizerElementSize = -1;
bool nnClusterizerAddIndexData = true;
float nnClassThreshold = 0.01;
bool nnSigmoidTrafoClassThreshold = 1;
int nnClusterizerUseCfRegression = 0;
int nnClusterizerBatchedMode = 1;
int nnClusterizerTotalClusters = 1;
int nnClusterizerVerbosity = 0;
int nnClusterizerBoundaryFillValue = -1;
int nnClusterizerModelClassNumOutputNodes = -1;
int nnClusterizerModelReg1NumOutputNodes = -1;
int nnClusterizerModelReg2NumOutputNodes = -1;
int nnInferenceInputDType = 0; // 0: float16, 1: float32
int nnInferenceOutputDType = 0; // 0: float16, 1: float32
int mISector = -1;
int deviceId = -1;
// Memory allocation for neural network
bool* clusterFlags = nullptr; // mSplitInTime, mSplitInPad. Techincally both flags are set in the same way -> ClusterAccumulator.cx=nullptr
int* outputDataClass = nullptr;
// FP32
float* inputData_32 = nullptr;
float* modelProbabilities_32 = nullptr;
float* outputDataReg1_32 = nullptr;
float* outputDataReg2_32 = nullptr;
// FP16
OrtDataType::Float16_t* inputData_16 = nullptr;
OrtDataType::Float16_t* modelProbabilities_16 = nullptr;
OrtDataType::Float16_t* outputDataReg1_16 = nullptr;
OrtDataType::Float16_t* outputDataReg2_16 = nullptr;
int16_t mMemoryId = -1;
}; // class GPUTPCNNClusterizer
} // namespace o2::gpu
#endif