Tutorial Python Node: Attributes With CUDA Array Pointers In Cpu Memory
This is a tutorial node. It illustrates the alternative method of extracting pointers to GPU array data in which the pointer returned is a CPU pointer and can be dereferenced on the CPU side. Without the cudaPointers value set that pointer would be a GPU pointer to an array of GPU pointers and could only be dereferenced on the device. Both plain attribute and bundle attribute extraction are shown.
Installation
To use this node enable omni.graph.tutorials in the Extension Manager.
Inputs
Name |
Type |
Descripton |
Default |
|---|---|---|---|
Multiplier (inputs:multiplier) |
|
Amplitude of the expansion for the input points |
[1.0, 1.0, 1.0] |
Points (inputs:points) |
|
Array of points to be moved |
[] |
Outputs
Name |
Type |
Descripton |
Default |
|---|---|---|---|
Out Bundle (outputs:outBundle) |
|
Bundle containing a copy of the output points |
None |
Points (outputs:points) |
|
Final positions of points |
None |
Metadata
Name |
Value |
|---|---|
Unique ID |
omni.graph.tutorials.CudaCpuArraysPy |
Version |
1 |
Extension |
omni.graph.tutorials |
Icon |
ogn/icons/omni.graph.tutorials.CudaCpuArraysPy.svg |
Has State? |
False |
Implementation Language |
Python |
Default Memory Type |
cuda |
Generated Code Exclusions |
None |
__memoryType |
cuda |
uiName |
Tutorial Python Node: Attributes With CUDA Array Pointers In Cpu Memory |
Categories |
tutorials |
Generated Class Name |
OgnTutorialCudaDataCpuPyDatabase |
Python Module |
omni.graph.tutorials |
See the accompanying tutorial and annotated code at Tutorial 27 - GPU Data Node with CPU Array Pointers