tritonparse 0.2.4.dev20251008071501

TritonParse: A Compiler Tracer, Visualizer, and mini-Reproducer Generator for Triton Kernels

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

📊 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

• 🔧 Reproducer Generation - Generate standalone Python scripts to reproduce kernels
• 🌐 Browser-based Interface - No installation required, works in your browser
• 🔒 Privacy-first - All processing happens locally, no data uploaded

🚀 Quick Start

1. Generate Traces

import tritonparse.structured_logging
import tritonparse.utils

# Initialize logging
tritonparse.structured_logging.init("./logs/", enable_trace_launch=True)

# Your Triton/PyTorch code here
# ... your kernels ...

# Parse and generate trace files
tritonparse.utils.unified_parse("./logs/", out="./parsed_output")

📝 Example output (click to expand)

================================================================================
📁 TRITONPARSE PARSING RESULTS
================================================================================
📂 Parsed files directory: /scratch/findhao/tritonparse/tests/parsed_output
📊 Total files generated: 2

📄 Generated files:
   1. 📝 dedicated_log_triton_trace_findhao__mapped.ndjson.gz (7.2KB)
   2. 📝 log_file_list.json (181B)
================================================================================
✅ Parsing completed successfully!
================================================================================

2. Visualize Results

Visit https://meta-pytorch.org/tritonparse/ and open your local trace files (.ndjson.gz format).

🔒 Privacy Note: Your trace files are processed entirely in your browser - nothing is uploaded to any server!

🛠️ Installation

For basic usage (trace generation): Four options:

# install nightly version
pip install -U --pre tritonparse
# install stable version
pip install tritonparse
# install from source
git clone https://github.com/meta-pytorch/tritonparse.git
cd tritonparse
pip install -e .
# pip install the latest version from github
pip install git+https://github.com/meta-pytorch/tritonparse.git

Prerequisites: Python ≥ 3.10, Triton ≥ 3.4.0, GPU required (NVIDIA/AMD)

TritonParse relies on new features in Triton. Please install the latest version of Triton:

pip install triton

📚 Complete Documentation

📖 Guide	Description
🏠 Wiki Home	Complete documentation and quick navigation
📦 Installation	Setup guide for all scenarios
📋 Usage Guide	Complete workflow, examples, and reproducer
🌐 Web Interface	Master the visualization interface
🔧 Developer Guide	Contributing and architecture overview
📝 Code Formatting	Formatting standards and tools
❓ FAQ	Quick answers and troubleshooting

📊 Understanding Triton Compilation

TritonParse visualizes the complete Triton compilation pipeline:

Python Source → TTIR → TTGIR → LLIR → PTX/AMDGCN

Each stage can be inspected and compared to understand optimization transformations.

🤝 Contributing

We welcome contributions! Please see our Developer Guide for:

• Development setup and prerequisites
• Code formatting standards (Formatting Guide)
• Pull request and code review process
• Testing guidelines
• Architecture overview

📞 Support & Community

• 🐛 Report Issues: GitHub Issues
• 💬 Discussions: GitHub Discussions
• 📚 Documentation: TritonParse Wiki

📄 License

This project is licensed under the BSD-3 License - see the LICENSE file for details.

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✨ Ready to get started? Visit our Installation Guide or try the online tool directly!