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SkillsMP has collected 8 skills from mindspore-ai/hyper-parallel. Open a skill to review its source and details.
Showing 8 of 8 collected skills.
Add or extend HyperParallel unit tests under tests/ut. Use when writing UT, increasing coverage, or mocking distributed/hardware. Not for multi-card ST (see testing.md / distributed-op-testing) or shard-op-specific UT constraints (distributed-op-testing rule).
GitCode fork workflow: commit, push, create/append PR, status, squash, lint/test. Triggers: 帮我提交, create PR, PR 状态, /commit, /create-pr, etc. Origin=fork, upstream=main. Details in references/.
Review HyperParallel changes for distributed correctness, stream sync, memory safety, cross-platform parity, and code quality. Use for /code-review, PR review, or when the user asks to review/check changes.
Implement distributed ops from a confirmed analysis plan; write UT/ST and run until executable tests pass. Goal mode — no step-by-step confirmation.
Drive a red MindSpore-family GitCode PR gate to green: diagnose, /check-pr → /retest, triage failures, patch or escalate, loop until both pr-check-pass and ci-pipeline-passed. Use for 门禁/CI/retest/ check-pr/autofix/把 PR 修绿, or any MindSpore GitCode PR gate…
Recommend DP/FSDP/TP/PP/EP/CP strategy mixes from model + hardware constraints, with memory/comm/compute/bubble estimates. Use for strategy planning, scale-out, OOM, or comparing configs. Not for implementing platform/op code (platform-dev / dist-op-dev) or…
Develop HyperParallel platform abstraction: new Platform APIs, torch/mindspore backends, FSDP/HSDP/Pipeline/Activation Checkpoint, DTensorBase, collectives. Use when changing platform/ or cross-backend features. Not for shard op YAML/impl (use dist-op-dev) or…
Distributed operator analysis. Analyzes operator interfaces provided by the user and outputs a standardized implementation plan. Requires human confirmation before development begins.