WebML WG Teleconference – 16 March 2023 - 15:00-16:00 UTC

WebML WG Teleconference – 16 March 2023 - 15:00-16:00 UTC

‼️ This meeting happens 1 hour later than usual in the US and Canada due to Daylight Saving Time<https://www.timeanddate.com/time/dst/2023a.html> adjustment. Most of the US and Canada moved their clocks forward on Sunday, 12 March. This is two weeks earlier than Europe. Most European clocks will move 1 hour forward on Sunday, 26 March.

See the timezone table ...
San Francisco (U.S.A. - California)     Thu, 16 March 2023      08:00   UTC-7 hours ‼️
Boston (U.S.A. - Massachusetts) Thu, 16 March 2023      11:00   UTC-4 hours ‼️
London (United Kingdom - England)       Thu, 16 March 2023      15:00   UTC+0 hours
Berlin (Germany)        Thu, 16 March 2023      16:00   UTC+1 hours
Helsinki (Finland)      Thu, 16 March 2023      17:00   UTC+2 hours
Shanghai (China)        Thu, 16 March 2023      23:00   UTC+8 hours
Tokyo (Japan)   Fri, 17 March 2023      00:00   UTC+9 hours
Corresponding UTC (GMT) Thu, 16 March 2023      15:00 UTC

Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20230316T15


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-03-16-wg-agenda.md#logistics>Logistics

  *   Chair: Anssi
  *   Scribe: ? (see howto<https://github.com/webmachinelearning/meetings/blob/main/scribe-howto.md>, volunteers welcome!)
  *   IRC: irc://irc.w3.org:6667/#webmachinelearning

  *   IRC web client: https://irc.w3.org/?channels=#webmachinelearning

  *   Joining instructions: https://lists.w3.org/Archives/Member/internal-webmachinelearning/2020Apr/0000.html

  *   Minutes: https://www.w3.org/2023/03/16-webmachinelearning-minutes.html


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-03-16-wg-agenda.md#agenda>Agenda
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-03-16-wg-agenda.md#%E2%84%B9%EF%B8%8F-proposed-charter-2023-2025-under-w3c-advisory-committee-review>ℹ️ Proposed Charter 2023-2025 under W3C Advisory Committee review

Announcement: https://lists.w3.org/Archives/Public/public-webmachinelearning-wg/2023Mar/0002.html


Please make sure your Advisory Committee representative<https://www.w3.org/Member/ACList> brings input (and ideally support) on the review.

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-03-16-wg-agenda.md#%E2%84%B9%EF%B8%8F-webnn---webidl-and-infra-standard-conventions>ℹ️ WebNN - WebIDL and Infra standard conventions

  *   Sync and async algorithms

     *    issue: webmachinelearning/webnn#316<https://github.com/webmachinelearning/webnn/issues/316>
     *    PR: webmachinelearning/webnn#329<https://github.com/webmachinelearning/webnn/pull/329>
  *   MLOperand and MLActivation internal slots

     *    issue: webmachinelearning/webnn#336<https://github.com/webmachinelearning/webnn/issues/336>
     *    PR: webmachinelearning/webnn#337<https://github.com/webmachinelearning/webnn/pull/337>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-03-16-wg-agenda.md#%E2%84%B9%EF%B8%8F-webnn---enhancements-editorials-questions>ℹ️ WebNN - enhancements, editorials, questions

  *   Simplify the operand layout support of conv2d and pooling 2d operations

     *    issue: webmachinelearning/webnn#324<https://github.com/webmachinelearning/webnn/issues/324>
  *   Define the algorithm of calculating the effective padding for "same-upper" and "same-lower" option

     *    issue: webmachinelearning/webnn#326<https://github.com/webmachinelearning/webnn/issues/326>
  *   Clarify the usage of 32 bit floating point type and consider using double

     *    issue: webmachinelearning/webnn#325<https://github.com/webmachinelearning/webnn/issues/325>
  *   Subclass MLGraph based on the context that creates it

     *    issue: webmachinelearning/webnn#344<https://github.com/webmachinelearning/webnn/issues/344>