Adds FLASHINFER_SAGE_ATTN3 wrapping flashinfer's dense SM120 NVFP4 attention (flashinfer-ai/flashinfer#3640), falling back to torch SDPA with one warning when flashinfer/SM120 is unavailable, and an env-gated JSONL attention shape logger (FASTVIDEO_ATTN_SHAPE_LOG) hooked into the new backend and SAGE_ATTN_THREE to collect real workload shapes for SM121 (DGX Spark) kernel tuning.
FastVideo Documentation
This directory contains the FastVideo documentation built with MkDocs.
Build the docs locally
# Install dependencies
uv pip install -r requirements-mkdocs.txt
# Serve docs with live reload (recommended for development)
mkdocs serve
# Or build static site
mkdocs build
View the docs
Development server (with live reload)
mkdocs serve
Then open your browser to: http://127.0.0.1:8000
Static build
mkdocs build
python -m http.server -d site/
Then open your browser to: http://localhost:8000
Automatic Deployment
Documentation is automatically built and deployed to GitHub Pages when changes are pushed to the main branch via the .github/workflows/infra-docs.yml workflow.
Update documentation dependencies
Edit requirements-mkdocs.in, then regenerate the pinned Linux/Python 3.12 lock file:
uv pip compile requirements-mkdocs.in \
-o requirements-mkdocs.txt \
--python-platform x86_64-manylinux_2_28 \
--python-version 3.12