Files
hao-ai-lab-FastVideo/docs
shaoxiongduan 0b605d0a41 [cleanup] eval: drop legacy EvalRunner/EvalResult/WM_EVAL_CACHE refs
Several scaffolds that pre-date the runner refactor still pointed at
removed APIs:

* ``EvalResult`` (and its ``Evaluator.evaluate_dataset`` docstring)
  exposed a class that is never returned anywhere; drop it from the
  public API.
* ``Evaluator``'s module docstring still referenced the removed
  ``EvalRunner`` layer; trim to the current Evaluator → EvalWorker
  shape.
* ``WM_EVAL_CACHE`` survived as a fallback env var from the wm-eval
  port; remove and keep only ``FASTVIDEO_EVAL_CACHE``.
* The contributor docs documented ``batch_unit`` and
  ``trial_forward``/``Evaluator.calibrate()`` which were dropped from
  ``BaseMetric`` in earlier refactors; update to the current contract.
2026-05-07 06:15:10 +00:00
..
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FastVideo Documentation

This directory contains the FastVideo documentation built with MkDocs.

Build the docs locally

# Install dependencies
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.