Python Tutorial 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, you must enable omni.graph.tutorials in the Extension Manager.
Inputs#
Name |
Type |
Description |
Default |
|---|---|---|---|
points |
|
Array of points to be moved |
[] |
multiplier |
|
Amplitude of the expansion for the input points |
[1.0, 1.0, 1.0] |
Outputs#
Name |
Type |
Description |
Default |
|---|---|---|---|
points |
|
Final positions of points |
|
outBundle |
|
Bundle containing a copy of the output points |