optimize-musa-training
byopen-infra-skills· 1 skill
Profile, benchmark, debug, and optimize AI training workloads on Moore Threads MUSA GPUs while preserving numerical behavior. Use for Torch MUSA, MTT GPUs, mthreads-gmi, Moore Perf System (msys), Moore Perf Compute (mcu), MFU/HFU, FlashAttention/FA2, SDPA, torch.compile, FSDP/FSDP2, MCCL, distributed hangs, low-batch utilization, kernel launch or transfer overhead, memory pressure, and CUDA-to-MUSA performance migration.
How to install optimize-musa-training?
open-infra-skills/infra-skills/optimize-musa-training
$npx -y skills add open-infra-skills/infra-skills --skill optimize-musa-trainingInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/open-infra-skills/infra-skills" --skill "open-infra-skills/infra-skills/optimize-musa-training"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/open-infra-skills/infra-skills" that are relevant to the current task. Run `npx skills add "https://github.com/open-infra-skills/infra-skills"` and select the relevant skills, then follow their instructions.
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