TT-XLA documentation
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Compiler and tools
- Fusing and Composite Ops
- Model Auto-Discovery Tests
- Overview
- Prerequisites
- Quick start / commonly used commands
- How discovery and parametrization work
- Test IDs and filtering
- Parallelism modes
- Per-model requirements
- Test configuration and statuses
- Model status and bringup_status guidance
- Targeting architectures
- Placeholder models (report-only)
- CI setup
- Adding a new model to run in Nightly CI
- Troubleshooting
- Future enhancements
- Reference
- Code Generation Guide
- Tutorial: Generate Python Code from Your Model
- Troubleshooting code generation
- Building PyTorch XLA from Source
- Tools
- Explorer