MuonML::GraphRawData Struct Reference

Helper struct to ship the Graph from the space point buckets to ONNX. More...

#include <GraphData.h>

Collaboration diagram for MuonML::GraphRawData:

Public Types
using	FeatureVec_t = std::vector< float >
using	NodeConnectVec_t = std::vector< int64_t >
using	EdgeCounterVec_t = std::vector< int64_t >

Public Attributes
FeatureVec_t	featureLeaves {}
	Vector containing all features. More...
EdgeCounterVec_t	srcEdges {}
	Vector encoding the source index of the. More...
EdgeCounterVec_t	desEdges {}
	Vect More...
NodeConnectVec_t	spacePointsInBucket {}
	Vector keeping track of how many space points are in each parsed bucket. More...
EdgeCounterVec_t	edgeIndexPacked {}
	Packed edge index buffer (kept alive for ONNX tensors that reference it) This stores [srcEdges, dstEdges] packed together and is used as backing storage for the ONNX 'edge_index' input tensor so that the Ort::Value does not point to a local (stack) buffer that would be freed at function exit. More...
const NodeFeatureList *	previousList {}
	Pointer to the latest parsed NodeFeatureList. More...
std::unique_ptr< InferenceGraph >	graph {}
	Pointer to the graph to be parsed to ONNX. More...
std::vector< float >::iterator	currLeave {featureLeaves.begin()}
	The following variables are needed to fill the consistently the raw data for the Graph Building. More...
unsigned int	nodeIndex {0}
	Number of the already filled nodes. More...

Detailed Description

Helper struct to ship the Graph from the space point buckets to ONNX.

Definition at line 25 of file GraphData.h.

Member Typedef Documentation

EdgeCounterVec_t

using MuonML::GraphRawData::EdgeCounterVec_t = std::vector<int64_t>

Definition at line 28 of file GraphData.h.

FeatureVec_t

using MuonML::GraphRawData::FeatureVec_t = std::vector<float>

Definition at line 26 of file GraphData.h.

NodeConnectVec_t

using MuonML::GraphRawData::NodeConnectVec_t = std::vector<int64_t>

Definition at line 27 of file GraphData.h.

Member Data Documentation

currLeave

std::vector<float>::iterator MuonML::GraphRawData::currLeave {featureLeaves.begin()}

The following variables are needed to fill the consistently the raw data for the Graph Building.

Definition at line 50 of file GraphData.h.

desEdges

EdgeCounterVec_t MuonML::GraphRawData::desEdges {}

Vect

Definition at line 34 of file GraphData.h.

edgeIndexPacked

EdgeCounterVec_t MuonML::GraphRawData::edgeIndexPacked {}

Packed edge index buffer (kept alive for ONNX tensors that reference it) This stores [srcEdges, dstEdges] packed together and is used as backing storage for the ONNX 'edge_index' input tensor so that the Ort::Value does not point to a local (stack) buffer that would be freed at function exit.

Definition at line 42 of file GraphData.h.

featureLeaves

FeatureVec_t MuonML::GraphRawData::featureLeaves {}

Vector containing all features.

Definition at line 30 of file GraphData.h.

graph

std::unique_ptr<InferenceGraph> MuonML::GraphRawData::graph {}

Pointer to the graph to be parsed to ONNX.

Definition at line 46 of file GraphData.h.

nodeIndex

unsigned int MuonML::GraphRawData::nodeIndex {0}

Number of the already filled nodes.

Definition at line 52 of file GraphData.h.

previousList

const NodeFeatureList* MuonML::GraphRawData::previousList {}

Pointer to the latest parsed NodeFeatureList.

Definition at line 44 of file GraphData.h.

spacePointsInBucket

NodeConnectVec_t MuonML::GraphRawData::spacePointsInBucket {}

Vector keeping track of how many space points are in each parsed bucket.

Definition at line 36 of file GraphData.h.

srcEdges

EdgeCounterVec_t MuonML::GraphRawData::srcEdges {}

Vector encoding the source index of the.

Definition at line 32 of file GraphData.h.

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The documentation for this struct was generated from the following file:

• GraphData.h