# Clone Repos > Clone SGLang, FlashInfer, sgl-cookbook, and flashinfer-trace repositories to tmp/. Use when setting up the project, preparing for kernel extraction, or when the user needs the source repositories. Use when this capability is needed. - Skill: `tomevault-io/clone-repos` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/clone-repos` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/clone-repos/raw - Safety review: pending (external: skill-scanner PASS, skillspector CAUTION) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/clone-repos --- # Clone Repositories Clone SGLang, FlashInfer, sgl-cookbook, and flashinfer-trace repositories to the `tmp/` directory. ## Description This skill sets up the required repositories for kernel extraction, testing, and workload collection workflows. It: 1. Clones SGLang, FlashInfer, sgl-cookbook, and flashinfer-trace repositories to `tmp/` directory (if not already present) with all submodules 2. Updates repositories by pulling latest changes from remote and updating submodules (if repos already exist) 3. Checks out the `main` branch by default (or specified branch) 4. Installs SGLang and FlashInfer packages from source in the current environment **Repositories:** - **SGLang**: Inference engine with model implementations and kernel calls - **FlashInfer**: GPU kernel library with optimized implementations (ground truth) - **sgl-cookbook**: Best serving configurations for each architecture and model (TP, EP flags) - **flashinfer-trace**: Workload dataset and kernel definitions — cloned to `tmp/flashinfer-trace` ## Usage ```bash # Clone all repos to ./tmp directory, update if exists, and install from source /clone-repos # Clone specific branches /clone-repos --sglang-branch v0.4.0 --flashinfer-branch v0.2.0 ``` ## Parameters - `sglang_branch` (optional): SGLang branch to checkout (default: "main") - `flashinfer_branch` (optional): FlashInfer branch to checkout (default: "main") - `cookbook_branch` (optional): sgl-cookbook branch to checkout (default: "main") ## Implementation Steps When executing this skill: 1. **Create tmp directory if needed**: ```bash mkdir -p tmp ``` 2. **Handle SGLang repository**: ```bash # Check if repo exists if [ -d "tmp/sglang/.git" ]; then echo "SGLang exists, pulling latest changes..." (cd tmp/sglang && git fetch origin && git checkout "${sglang_branch:-main}" && git reset --hard "origin/${sglang_branch:-main}" && git submodule update --init --recursive) else echo "Cloning SGLang with submodules..." git clone --recurse-submodules https://github.com/sgl-project/sglang.git tmp/sglang (cd tmp/sglang && git checkout "${sglang_branch:-main}") fi ``` **Note**: Using `(cd ...)` subshell syntax ensures directory changes are isolated and don't affect subsequent commands. 3. **Handle FlashInfer repository**: ```bash # Check if repo exists if [ -d "tmp/flashinfer/.git" ]; then echo "FlashInfer exists, pulling latest changes..." (cd tmp/flashinfer && git fetch origin && git checkout "${flashinfer_branch:-main}" && git reset --hard "origin/${flashinfer_branch:-main}" && git submodule update --init --recursive) else echo "Cloning FlashInfer with submodules..." git clone --recurse-submodules https://github.com/flashinfer-ai/flashinfer.git tmp/flashinfer (cd tmp/flashinfer && git checkout "${flashinfer_branch:-main}") fi ``` **Note**: Using `(cd ...)` subshell syntax ensures directory changes are isolated and don't affect subsequent commands. 4. **Handle sgl-cookbook repository**: ```bash # Check if repo exists if [ -d "tmp/sgl-cookbook/.git" ]; then echo "sgl-cookbook exists, pulling latest changes..." (cd tmp/sgl-cookbook && git fetch origin && git checkout "${cookbook_branch:-main}" && git reset --hard "origin/${cookbook_branch:-main}") else echo "Cloning sgl-cookbook..." git clone https://github.com/sgl-project/sgl-cookbook.git tmp/sgl-cookbook (cd tmp/sgl-cookbook && git checkout "${cookbook_branch:-main}") fi ``` **Note**: sgl-cookbook doesn't require submodules or installation. It contains serving configuration files only. 5. **Handle flashinfer-trace repository**: ```bash # Check if repo exists if [ -d "tmp/flashinfer-trace/.git" ]; then echo "flashinfer-trace exists, pulling latest changes..." (cd tmp/flashinfer-trace && git fetch origin && git checkout main && git reset --hard origin/main) else echo "Cloning flashinfer-trace..." git clone https://huggingface.co/datasets/flashinfer-ai/flashinfer-trace tmp/flashinfer-trace fi ``` **Note**: flashinfer-trace is a HuggingFace dataset repo (not GitHub). It contains kernel definitions, workloads, and blob safetensors. All workload collection writes to this directory. 6. **Install packages from source**: ```bash # Upgrade pip once pip install --upgrade pip # Install FlashInfer (pyproject.toml in repo root) (cd tmp/flashinfer && python -m pip install --no-build-isolation -e . -v) # Install SGLang (pyproject.toml in python/ subdirectory) (cd tmp/sglang && pip install -e "python") ``` **Note**: Subshell syntax `(cd ... && command)` keeps working directory unchanged. 7. **Verify installations**: ```bash # Test imports python -c "import sglang; print(f'SGLang: {sglang.__version__}')" python -c "import flashinfer; print(f'FlashInfer: {flashinfer.__version__}')" # Verify directory structure ls tmp/sglang/python/sglang/srt/models/ ls tmp/flashinfer/flashinfer/ ls tmp/flashinfer/tests/ ls tmp/sgl-cookbook/ ls tmp/flashinfer-trace/definitions/ ``` ## Output Directory Structure ``` flashinfer-bench/ ├── flashinfer_trace/ # Local working area (definitions, tests) │ ├── definitions/ # Kernel definitions (write here first) │ │ ├── rmsnorm/ │ │ ├── gemm/ │ │ ├── gqa_paged/ │ │ ├── mla_paged/ │ │ ├── gdn/ │ │ ├── moe/ │ │ └── ... │ └── tests/ │ └── references/ # Reference tests └── tmp/ # Cloned repositories (auto-updated) ├── sglang/ # SGLang repository (installed in current env) │ └── python/sglang/srt/ │ ├── models/ # Model implementations │ │ ├── llama.py │ │ ├── deepseek_v3.py │ │ ├── qwen2_moe.py │ │ └── ... │ └── layers/ # Layer implementations │ ├── attention/ │ ├── moe/ │ └── layernorm.py ├── flashinfer/ # FlashInfer repository (installed in current env) │ ├── flashinfer/ # Python package in root (not python/ subdir!) │ │ ├── attention.py │ │ ├── norm.py │ │ ├── moe.py │ │ └── ... │ ├── tests/ # Reference tests with vanilla implementations │ ├── csrc/ # CUDA source files │ └── include/ # C++ headers with kernel implementations ├── sgl-cookbook/ # Serving configuration repository (NOT installed) └── flashinfer-trace/ # HuggingFace dataset clone — workloads and blobs go here for PR submission ├── docs/ # Model deployment documentation (markdown) │ └── autoregressive/ │ ├── DeepSeek/ │ │ ├── DeepSeek-V3.md │ │ └── DeepSeek-R1.md │ ├── Qwen/ │ │ ├── Qwen3-Next.md │ │ └── Qwen3.md │ └── ... ├── data/ │ ├── models/ # Model configurations (YAML) │ │ └── generated/v0.5.6/ │ │ ├── qwen3next.yaml │ │ ├── deepseek.yaml │ │ └── ... │ └── optimal-configs/ # Optimal serving configurations └── README.md ``` ## Requirements - Git (with submodule support) - Network access to GitHub (for sglang, flashinfer, sgl-cookbook, and their submodules) - Sufficient disk space (~6GB total including submodules and serving configs) - Python development environment for building from source - CUDA toolkit (for FlashInfer CUDA kernels) ## Common Issues - **Network errors**: Check GitHub connectivity; repositories with submodules require stable connection - **Submodule failures**: Retry `git submodule update --init --recursive` - **Disk space**: Requires ~6GB total for all repositories with submodules - **Installation failures**: Verify Python ≥3.8, CUDA toolkit installed, and submodules initialized - **sgl-cookbook not found**: Ensure you have network access to github.com/sgl-project/sgl-cookbook ## Integration with Other Skills This skill provides the foundation for: 1. **extract-kernel-definitions**: Uses SGLang model files to extract kernels, sgl-cookbook to find serving configurations (TP/EP flags), outputs to `./flashinfer_trace/definitions/` (local working area) 2. **add-reference-tests**: Uses FlashInfer for ground truth, outputs tests to `./flashinfer_trace/tests/references/` 3. **collect-workloads**: Uses `tmp/flashinfer-trace` (HuggingFace dataset clone) as the target for workload JSONL + safetensors blobs, then submits a PR 4. **onboard-model**: End-to-end pipeline that calls this skill first (Phase 0) to ensure all repos are current before model discovery, definition generation, and workload collection. Example workflow: ```bash # Step 1: Clone SGLang, FlashInfer, and sgl-cookbook repositories /clone-repos # Step 2: Extract kernel definitions from a model (uses sgl-cookbook for TP/EP configs) /extract-kernel-definitions --model-name deepseek_v3 # Step 3: Add reference tests /add-reference-tests --op-type mla_paged # Or run the full end-to-end pipeline /onboard-model --model-name qwen3-235b-a22b ``` ## Notes - Updates existing repos or performs full clones with submodules - Editable installs (`pip install -e`) for development - FlashInfer package location: `tmp/flashinfer/flashinfer/` (not in `python/` subdirectory) - sgl-cookbook is NOT installed (configuration files only, no Python package) ## Maintaining This Document Update this file when changing repository URLs, directory structure, or adding new repositories. ## See Also - [extract-kernel-definitions](../extract-kernel-definitions/SKILL.md) - [add-reference-tests](../add-reference-tests/SKILL.md) --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/flashinfer-ai) — claim your Tome and manage your conversions.