{"repo":"meta-pytorch/tritonparse","free":true,"listed":false,"github":"https://github.com/meta-pytorch/tritonparse","clone":"git clone https://github.com/meta-pytorch/tritonparse.git","description":"TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels","language":"Python","stars":213,"topics":["compiler","debugging","interactive-visualization","ir-analysis","pytorch","structured-logging","triton","gpu-kernel","ir-visualization"],"license":"BSD-3-Clause","category":"machine-learning","readme_excerpt":"TritonParse A comprehensive visualization and analysis tool for Triton kernel compilation and launch — helping developers analyze, debug, and understand Triton kernel compilation processes. 🌐 Try it online → ✨ Key Features 🔍 Visualization & Analysis - 🚀 Launch Difference Analysis - Detect and visualize kernel launch parameter variations - 📊 IR Code View - Side-by-side IR viewing with synchronized highlighting and line mapping - 🔄 File Diff View - Compare kernels across different trace files side-by-side - 📝 Multi-format IR Support - View TTGIR, TTIR, LLIR, PTX, and AMDGCN - 🎯 Interactive Code Views - Click-to-highlight corresponding lines across IR stages 🔧 Reproducer & Debugging Tools - 🔄 Standalone Script Generation - Extract any kernel into a self-contained Python script - 💾 Tensor Data Reconstruction - Preserve actual tensor data or use statistical approximation - 🎯 Custom Templates - Flexible reproducer templates for different workflows - 🐛 Bug Isolation - Share reproducible test cases for debugging and collaboration 📊 Structured Logging & Analysis - 📝 Compilation & Launch Tracing - Capture detailed events with source mapping - 🔍 Stack Trace Integration - Full Python stack traces for debugging - 📈 Metadata Extraction - Comprehensive kernel statistics 🛠️ Developer Tools - 🌐 Browser-based Interface - No installation required, works in your browser - 🔒 Privacy-first - All processing happens locally, no data uploaded 🚀 Quick Start 1. Installation Four opt","default_branch":null,"files":null,"tree":[],"storefront":"/r/meta-pytorch","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/meta-pytorch/tritonparse/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}