List of test examples for Normalization
Examples
For layer norm and RMS norm, see src/tilegym/ops/cutile/layer_norm.py and src/tilegym/ops/cutile/rms_norm.py in the TileGym repo.
Expert cuTile programming assistant. Write high-performance GPU kernels using cuTile's tile-based programming model with proper validation and optimization. Supports deep agent orchestration for complex multi-kernel tasks.
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Use this Skill: https://skilld.dev/gh/nvidia/skills/tilegym-cutile-python
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≈61 tokens on demand. Your agent reads this file only when SKILL.md points to it.
For layer norm and RMS norm, see src/tilegym/ops/cutile/layer_norm.py and src/tilegym/ops/cutile/rms_norm.py in the TileGym repo.
Source: SKILL.md on GitHub
The skill is a cuTile programming assistant provided by NVIDIA. It guides agents through writing, optimizing, and validating GPU kernels. Security analysis found that it clones official repositories from GitHub (NVIDIA TileGym and PyTorch) and executes generated scripts as part of its validation workflow. Both behaviors are standard for its intended use case. Static analysis warnings for eval() calls were confirmed as false positives, as they refer to the PyTorch .eval() method rather than the Python eval() function.
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Risk: MEDIUM · 2 issues
Signed by skilld at 129a108. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.
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{
"author": "TileGym Team <TileGym@nvidia.com>",
"tags": [
"cutile",
"gpu-kernels",
"cuda"
]
}