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liger-kernel-dev

Develops production-ready Triton kernels for Liger Kernel. Creates new kernels from PyTorch operations (local files, URLs, code snippets, or natural language) with ops, module wrappers, functional APIs, unit tests, benchmarks, and plots. Also modifies existing Liger kernels. Use when adding a new Triton kernel, converting a PyTorch operation to Triton, or updating an existing Liger kernel.

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linkedin/Liger-Kernel
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May 15, 2026 at 19:59
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name
liger-kernel-dev
description
Develops production-ready Triton kernels for Liger Kernel. Creates new kernels from PyTorch operations (local files, URLs, code snippets, or natural language) with ops, module wrappers, functional APIs, unit tests, benchmarks, and plots. Also modifies existing Liger kernels. Use when adding a new Triton kernel, converting a PyTorch operation to Triton, or updating an existing Liger kernel.
# Liger Kernel Dev Develops Triton kernels for Liger Kernel through a 3-stage pipeline with human review between stages. Supports creating new kernels and modifying existing ones. NVIDIA GPUs only. ## Mode Detection - **Create mode**: User asks to create/add/generate/write/build a new kernel → full pipeline - **Modify mode**: User asks to update/fix/change/extend an existing kernel → skip Analyze, modify files, then Validate ## Pipeline (Create Mode) ### Stage 1: Analyze Follow the **Analyzer** workflow in [analyzer.md](analyzer.md). If the host runtime supports parallel subagents, this stage may be delegated to one; otherwise execute the workflow directly. Accepts any input: local file, URL, code snippet, natural language description, or model component reference. Produces a standalone PyTorch reference implementation and a kernel profile. **Human checkpoint:** Present PyTorch reference + kernel profile. Confirm before proceeding. ### Stage 2: Generate Follow the **Generator** workflow in [generator.md](generator.md). Generates/modifies up to 8 files: 1. `src/liger_kernel/ops/{kernel}.py` — NEW Triton kernels + autograd Function 2. `src/liger_kernel/transformers/{kernel}.py` — NEW nn.Module wrapper 3. `src/liger_kernel/transformers/functional.py` — MODIFY add functional API 4. `src/liger_kernel/ops/__init__.py` — MODIFY export Function class 5. `src/liger_kernel/transformers/__init__.py` — MODIFY export Module + `__all__` 6. `test/transformers/test_{kernel}.py` — NEW unit tests 7. `benchmark/scripts/benchmark_{kernel}.py` — NEW benchmark script 8. `benchmark/data/all_benchmark_data.csv` — MODIFY (after benchmarks run) **Human checkpoint:** Present changes for review. ### Stage 3: Validate Follow the **Validator** workflow in [validator.md](validator.md). Runs checkstyle, unit tests (hard gate — stops on persistent failure), benchmarks, and generates plots. Optionally runs ncu profiling. **Human checkpoint:** Report final results with benchmark numbers and plots. ## Pipeline (Modify Mode) 1. Read existing kernel files to understand current implementation 2. Understand the requested modification 3. Make targeted changes (Generator handles this) 4. Run full Validate stage (same as create mode) ## Reference Files - [kernel-profile-format.md](kernel-profile-format.md) — Kernel profile schema and field descriptions - [examples/swiglu-profile.md](examples/swiglu-profile.md) — Tier 1 (element-wise) reference - [examples/rms-norm-profile.md](examples/rms-norm-profile.md) — Tier 2 (reduction) reference - [examples/cross-entropy-profile.md](examples/cross-entropy-profile.md) — Tier 3 (fused/complex) reference - Templates in [templates/](templates/) — Code generation patterns for each file type
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