OmniGraph Node omni.graph.tutorials.CpuGpuData

omni.graph.tutorials.CpuGpuData Properties

Name	Value
Version	1
Extension	omni.graph.tutorials
Icon	ogn/icons/omni.graph.tutorials.CpuGpuData.svg
Has State?	False
Implementation Language	C++
Default Memory Type	any
Generated Code Exclusions	None
uiName	Tutorial Node: Attributes With CPU/GPU Data
__memoryType	any
__categories	tutorials
Generated Class Name	OgnTutorialCpuGpuDataDatabase
Python Module	omni.graph.tutorials

omni.graph.tutorials.CpuGpuData Description

This is a tutorial node. It illustrates how to access data whose memory location, CPU or GPU, is determined at runtime in the compute method. The data types are the same as for the purely CPU and purely GPU tutorials, it is only the access method that changes. The input ‘is_gpu’ determines where the data of the other attributes can be accessed.

omni.graph.tutorials.CpuGpuData Inputs

Name	Type	Default	Required?	Descripton
inputs:a	float	0.0	Y	First value to be added in algorithm 1
	__default	0.0
inputs:b	float	0.0	Y	Second value to be added in algorithm 1
	__default	0.0
inputs:is_gpu	bool	False	Y	Runtime switch determining where the data for the other attributes lives.
	__memoryType	cpu
	__default	false
inputs:multiplier	float[3]	[1.0, 1.0, 1.0]	Y	Amplitude of the expansion for the input points in algorithm 2
	__default	[1.0, 1.0, 1.0]
inputs:points	float[3][]	[]	Y	Points to be moved by algorithm 2
	__default	[]

omni.graph.tutorials.CpuGpuData Outputs

Name	Type	Default	Required?	Descripton
outputs:points	float[3][]	None	Y	Final positions of points from algorithm 2
outputs:sum	float	None	Y	Sum of the two inputs from algorithm 1