mlcommons / mlcommons/cm4mlops
Improving universal build and run scripts to support cross-platform compilation
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- Dominant language
- Python
- Stars
- 20
- Forks
- 21
- PR merge metrics
- No merged PRs in 30d
Description
We should extend our universal compile and benchmark scripts to support cross-platform compilation and execution (requested by several MLCommons workgroups):
As a test example, we can compile and run program for Android or some SSH-based platform.
We should add get-target-device CM to define target platform capabilities (env, config and tools) similar to how I did it in the original CK framework and add it to the build/run CM script.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the compile-program, benchmark-program, and benchmark-program-mlperf scripts, then review how the original CK framework handled target-device discovery. Define the scope for Android or an SSH-based platform, add a get-target-device CM for platform capabilities, and integrate it with the build/run scripts. Done means cross-platform compilation and execution work for a documented test target.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- build-system, devops, tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100