Individual skill
skip-triton-ascend-padding-fill
Use Triton-Ascend tl.load care_padding=False safely to skip initialization of masked tail lanes and remove unnecessary padding work. Use when an agent profiles a runtime-masked tail load whose invalid lanes are never consumed, or needs to decide whether undefined padded values can be permitted for a bandwidth-sensitive Ascend kernel.
skills/skip-triton-ascend-padding-fill/SKILL.md
Source commit 4ab5ee7adf47755ecd42723f55f4c58e38be95a7
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- Observed behavior
- Instructions only
- Last checked
- Nov 4, 2026
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- Repository stars (not skill ratings)
- 189
- Repository last updated
- Aug 15, 2026
- License
- Apache-2.0
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- ai Repository topic
- ascend Repository topic
- ascend-npu Repository topic
- npu Repository topic
- triton Repository topic
- triton-ascend Repository topic
- claude-code Repository topic
- codex Repository topic
- opencode Repository topic
- engineering Derived category
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# Skip Triton-Ascend Padding Fill
## Goal
Avoid filling invalid load lanes when those values have no influence on any observable result.
## Workflow
1. Trace every consumer of the loaded tensor.
2. Prove that lanes where mask is false cannot reach arithmetic, reductions, indexing, control flow, or stores.
3. Omit other and set care_padding=False on the masked load.
4. Preserve downstream masks until the loaded value is no longer live.
5. Benchmark against the default padded load on the same runtime-tail shapes.
