ACTS
Experiment-independent tracking
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ActsPlugins::TorchMetricLearning::Config Struct Reference

Configuration struct for Torch metric learning. More...

#include <ActsPlugins/Gnn/TorchMetricLearning.hpp>

Collaboration diagram for ActsPlugins::TorchMetricLearning::Config:
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Public Attributes

int deviceID = 0
 CUDA device ID to use for inference.
int embeddingDim = 8
 Dimensionality of the embedding space.
int knnVal = 500
 Number of nearest neighbors.
std::string modelPath
 Path to the PyTorch model file.
float phiScale = 3.141592654
 Scaling factor for phi coordinate in edge features.
float rVal = 1.6
 Radius value for graph construction.
std::vector< int > selectedFeatures = {}
 Selected feature indices for input.
bool shuffleDirections = false
 Whether to shuffle edge directions.

Detailed Description

Configuration struct for Torch metric learning.