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I'm interested in running say 1000 independent IK queries on a gpu. In the readme you mention that this is a pure python library which means it theory it should work with numba relatively easily. Are there any caveats or thing I should be aware of if I'm going to try this?
That's a good idea indeed!
There is no caveat a priori for the inference part (forward kinematics)
For the inverse kinematics, the optimization is done in scipy, out of the python loop, so it won't be done on the GPU.
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Hi,
I'm interested in running say 1000 independent IK queries on a gpu. In the readme you mention that this is a pure python library which means it theory it should work with numba relatively easily. Are there any caveats or thing I should be aware of if I'm going to try this?
Something similar to this:
https://ipython-books.github.io/58-writing-massively-parallel-code-for-nvidia-graphics-cards-gpus-with-cuda/
Thanks
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