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[FEA] Add aarch64 build support into CI/CD for cuSignal #59
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The core cuSignal dependencies on the Jetson GPUs are:
Scipy, Numba, and Numpy all have anaconda images built for aarch64 and are available via conda-forge or numba channels. CuPy, however, is seemingly blocked in their aarch64 build. See: The current work-around for source installs is to install pip into the conda environment and then run |
This issue has been marked stale due to no recent activity in the past 30d. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed. This issue will be marked rotten if there is no activity in the next 60d. |
This issue has been marked rotten due to no recent activity in the past 90d. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed. |
Marked rotten? Huh? I have this working with |
@znmeb -- yeah, there was a recent CI change that made all older issues without active conversation/PRs 'rotten'. I want to keep this one open. To be honest, I've been working more on the datacenter rather than edge side and will restart the conversation on where we are with Jetson CI/CD with RAPIDS. |
TBH my bottleneck can be fixed with pure |
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cuSignal 0.13 currently has bare-bones instructions for getting cuSignal built and running using Anaconda on a Jetson Embedded GPU. Since the main cuSignal developers are primarily working on PCIe versions of GPUs, some merged PRs may break aarch64 builds; this recently came up with a Numba versioning issue. Since cuSignal has a significant number of users on a Jetson Nano, TX2, or Xavier, we should simplify the SW delivery to these users and ensure a positive experience.
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