- From: Kostiainen, Anssi <anssi.kostiainen@intel.com>
- Date: Thu, 28 Apr 2022 07:53:05 +0000
- To: "public-webmachinelearning@w3.org" <public-webmachinelearning@w3.org>
- Message-ID: <197F6E54-3A24-466C-B8A0-6297FB714663@intel.com>
Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-05-04-cg-agenda.md WebML CG Teleconference – 4 May 2022 - 04:00-05:00 UTC+0 See the timezone table ... San Francisco (U.S.A. - California) Tue, 5 April 2022 21:00 UTC-7 hours Boston (U.S.A. - Massachusetts) Wed, 6 April 2022 00:00 UTC-4 hours London (United Kingdom - England) Wed, 6 April 2022 05:00 UTC+1 hours Berlin (Germany) Wed, 6 April 2022 06:00 UTC+2 hours Helsinki (Finland) Wed, 6 April 2022 07:00 UTC+3 hours Shanghai (China) Wed, 6 April 2022 12:00 UTC+8 hours Tokyo (Japan) Wed, 6 April 2022 13:00 UTC+9 hours Sydney (Australia) Wed, 6 April 2022 14:00 UTC+10 hours Corresponding UTC (GMT) Wed, 6 April 2022 04:00 UTC Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20220504T04 <https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-05-04-cg-agenda.md#logistics>Logistics * Chair: Anssi * Scribe: ? (howto<https://github.com/webmachinelearning/meetings/blob/main/scribe-howto.md>) * 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/2022/05/04-webmachinelearning-minutes.html ________________________________ <https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-05-04-cg-agenda.md#agenda>Agenda ⚠️ On our 6 April 2022 call<https://www.w3.org/2022/04/06-webmachinelearning-minutes.html#t01> we agreed to move back to the 4:00 UTC meeting slot starting from this call. <https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-05-04-cg-agenda.md#%E2%84%B9%EF%B8%8F-model-loader-api---new-issues>ℹ️ Model Loader API - new issues Discuss and triage new issues; identify any reusable constructs, concepts and patterns to be shared with WebNN API. * DevicePreference: "GPU" => "GpuRequired" and "GpuPreferred" webmachinelearning/model-loader#35<https://github.com/webmachinelearning/model-loader/issues/35> * "default" v.s. "auto" in MLDevicePreference and MLPowerPreference webmachinelearning/model-loader#30<https://github.com/webmachinelearning/model-loader/issues/30> * Add performance/usage Hints webmachinelearning/model-loader#34<https://github.com/webmachinelearning/model-loader/issues/34> See 6 Apr 2022 minutes<https://www.w3.org/2022/04/06-webmachinelearning-minutes.html#t05> where we touched these topics quickly. <https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-05-04-cg-agenda.md#%E2%84%B9%EF%B8%8F-model-loader-api---recap-earlier-issues>ℹ️ Model Loader API - recap earlier issues Revisit the topics from earlier syncs for any updates from the community. * Versioning webmachinelearning/model-loader#25<https://github.com/webmachinelearning/model-loader/issues/25> * Streaming inputs webmachinelearning/model-loader#26<https://github.com/webmachinelearning/model-loader/issues/26> * Standard model format webmachinelearning/model-loader#28<https://github.com/webmachinelearning/model-loader/issues/28> * Support for non-IEEE 754 float point types webmachinelearning/model-loader#23<https://github.com/webmachinelearning/model-loader/issues/23> See 9 Mar 2022 minutes<https://www.w3.org/2022/03/09-webmachinelearning-minutes.html> for the previous discussion. <https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-05-04-cg-agenda.md#%E2%84%B9%EF%B8%8F-joint-cg-and-wg-brainstorming-session>ℹ️ Joint CG and WG brainstorming session Let's use this slot to chat more informally on any topics of shared interest in this space to cross-pollinate and brainstorm across WebML CG<https://www.w3.org/groups/cg/webmachinelearning/participants> and WebML WG participants<https://www.w3.org/groups/wg/webmachinelearning/participants>, get to know each other better. Bring you own ideas, questions, suggestions. No restrictions other than adherence to our Code of Conduct<https://www.w3.org/Consortium/cepc/>. This chat will not be minuted. <https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-05-04-cg-agenda.md#%E2%84%B9%EF%B8%8F-references>ℹ️ References * WebML CG Teleconference - 6 Apr 2022 minutes<https://www.w3.org/2022/04/06-webmachinelearning-minutes.html> * WebML CG Teleconference – 9 Mar 2022 minutes<https://www.w3.org/2022/03/09-webmachinelearning-minutes.html> * WebML CG Teleconference – 9 Feb 2022 minutes<https://www.w3.org/2022/02/09-webmachinelearning-minutes.html> * WebML CG Teleconference – 12 Jan 2022 minutes<https://www.w3.org/2022/01/12-webmachinelearning-minutes.html> * Model Loader API explainer<https://github.com/webmachinelearning/model-loader/blob/main/explainer.md> and early spec draft<https://webmachinelearning.github.io/model-loader/>
Received on Thursday, 28 April 2022 07:53:24 UTC