See the timezone table ...
San Francisco (U.S.A. - California) | Tue, 8 March 2022 | 21:00 | UTC-8 hours |
Boston (U.S.A. - Massachusetts) | Wed, 9 March 2022 | 00:00 | UTC-5 hours |
London (United Kingdom - England) | Wed, 9 March 2022 | 05:00 | UTC+0 hours |
Berlin (Germany) | Wed, 9 March 2022 | 06:00 | UTC+1 hours |
Helsinki (Finland) | Wed, 9 March 2022 | 07:00 | UTC+2 hours |
Shanghai (China) | Wed, 9 March 2022 | 13:00 | UTC+8 hours |
Tokyo (Japan) | Wed, 9 March 2022 | 14:00 | UTC+9 hours |
Sydney (Australia) | Wed, 9 March 2022 | 16:00 | UTC+11 hours |
Corresponding UTC (GMT) | Wed, 9 March 2022 | 05:00 UTC |
Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20220309T05
- Chair: Anssi
- Scribe: ? (howto)
- IRC: irc://irc.w3.org:6667/#webmachinelearning
- IRC web client: https://irc.w3.org/?channels=#webmachinelearning
- Call-in details: https://lists.w3.org/Archives/Member/internal-webmachinelearning/2020Apr/0000.html
- Minutes: https://www.w3.org/2022/03/09-webmachinelearning-minutes.html
- How to version the API? (supported ops and formats)
- Dedicated interface for streaming inputs (e.g. buffered inputs for video, audio)?
- Prototype vs standard format requirements
- "The Model Loader API needs a standard format supported across browsers and devices for broad interoperability." condition for standards adoption into WebML WG
- issue: Open question: support for non-IEEE 754 float point types #23 webmachinelearning/model-loader#23
Some accelerators use non-standard float point types (e.g. bfloat16 and TF32) for performance, memory usage optimization. Discuss Model Loader experimentation with these types, open questions:
- Could WebNN and Model Loader API use a common approach for these types?
- How to represent, manipulate these types in JavaScript? Or auto-convert at runtime with some heuristic?
- How to have the two specs complement each other?
- WebNN provides general purpose feature that runs everywhere (write once, run everywhere), Model Loader optionally makes use of accelerator specific features, and could run extremely efficiently based on the model?
- How much information would this give away, privacy risk?