Candidate Recommendation readiness tracker

[anssiko]

ℹ️ The requirements and status have been updated to reflect Q1'24 CR Snapshot target.

This is a meta issue to track Candidate Recommendation (CR) publication readiness for the Web Neural Network API.

About

A Candidate Recommendation is a document that satisfies the technical requirements of the Working Group that produced it and their dependencies, and has already received wide review. W3C publishes a Candidate Recommendation to

• signal to the wider community that it is time to do a final review
• gather implementation experience

Requirements

Legend: ⚪ Not started 🟡 In progress 🟢 Completed

To publish a Candidate Recommendation, in addition to meeting the requirements for advancement a Working Group:

• [x] must show that the specification has met all Working Group requirements, or explain why the requirements have changed or been deferred,
  • 🟢 The document meets the requirements set forth in the WG Charter and satisfies the Use Cases updated with transformers
  • 🟢 The document is considered complete and fit for purpose
  • 🟢 Completed https://github.com/webmachinelearning/webnn/issues/210
  • 🟢 Other deliverables: ethical considerations documented
• [x] must document changes to dependencies during the development of the specification,
  • 🟢 Diff in normative references since CR1: no changes
• [x] must document how adequate implementation experience will be demonstrated,
  • 🟢 WPT coverage 93.6%:
    • [x] web-platform-tests / wpt.fyi
    • [ ] WIP: gru, gruCell, lstm, lstmCell, resample2d #338 (https://wpt.fyi/results/webnn?label=experimental&label=master&aligned&view=subtest)
  • 🟢 implementation experience:
    • Google Chrome and Microsoft Edge: XNNPACK CPU backend, DirectML GPU backend
    • ChromeOS: MLService CPU backend
    • JavaScript ML Framework Integrations: ONNX Runtime (release), TensorFlow Lite for TF.js (experimental)