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SkillsMP는 AMD-AGI/maxtext-slurm에서 11개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 11개 중 11개를 표시합니다.
Create GPU config files to support existing MaxText model definitions on AMD GPU clusters. Use when the user wants to add a model, create a config, support a new model, or asks about model configs, parallelism, batch size, OOM, quantization, or .gpu.yml files.
원문 언어: 영어
Comprehensive pre-commit verification checklist with five independent responsibilities. (1) Launcher path coverage - verify a change to any launcher-chain file preserves correct behavior across all 16 combinations of entry point × launch mode × stack (Steps…
원문 언어: 영어
Direct per-kernel time analysis from JAX / TensorFlow xplane traces via `utils/profile_drill.py`. Use when the user asks for a per-kernel breakdown, step-time composition, cross-variant kernel comparison, main-stream-blocking analysis, or any question that…
원문 언어: 영어
Four sweep operations: (1) Model perf sweep — find optimal batch size / TGS for a model. Use for: sweep batch size, tune TGS, benchmark throughput, find optimal config. (2) Node perf sweep — compare per-node GPU performance to find outliers. Use for: check…
원문 언어: 영어
Find the XLA flag / NCCL env-var combination that maximizes steady-state TGS for one (model × parallelism) cell. Produces an evidence-backed leaderboard, mechanistic explanation of the winning flag, and a deployment recipe. Use when the user asks to tune XLA…
원문 언어: 영어
Triage MaxText training jobs from log files — failed, hanging, running, or completed. Use when the user asks why a job failed, wants to diagnose an error, sees a crash, hang, timeout, OOM, NCCL error, heartbeat timeout, wants to understand a job's status, or…
원문 언어: 영어
Diagnose training job incidents and check cluster health using the per-job Prometheus TSDB. Use when the user asks to diagnose a failure root cause, check GPU/network health, query Prometheus metrics, investigate a hang, or when the triage skill recommends…
원문 언어: 영어
Analyze MaxText training job performance using tgs_tagger, TraceLens, and IRLens. Use when the user asks to analyze a training run, profile traces, HLO IR, TGS metrics, GPU utilization, or mentions tag_tgs, TraceLens, IRLens, xplane, or performance analysis.
원문 언어: 영어
Use Telegram as the agent's I/O channel. Once triggered, the agent enters a REPL state — reading instructions from TG, executing them, printing results back to TG, and looping. Use when the user asks to be notified, messaged, or alerted via Telegram, or wants…
원문 언어: 영어
Audit AMD ROCm training Docker containers for installed software versions, git hashes, branches, source code, and repo links. Use when the user asks to analyze a container environment, check software versions, find git hashes, or inventory installed…
원문 언어: 영어
Debug segfaults and crashes in JAX/XLA/ROCm training workloads using coredump analysis. Use when the user has a coredump file, SIGSEGV, segfault, crash dump, or core file to analyze. Covers GDB backtrace extraction, identifying the crash cause from registers…
원문 언어: 영어