WebML WG Teleconference – 30 March 2023 - 14:00-15:00 UTC+0

Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-03-30-wg-agenda.md


WebML WG Teleconference – 30 March 2023 - 14:00-15:00 UTC+0

⏰ We're back to the normal schedule.

See the timezone table ...
San Francisco (U.S.A. - California)     Thu, 30 March 2022      07:00   UTC-7 hours
Boston (U.S.A. - Massachusetts) Thu, 30 March 2022      10:00   UTC-4 hours
London (United Kingdom - England)       Thu, 30 March 2022      15:00   UTC+1 hours
Berlin (Germany)        Thu, 30 March 2022      16:00   UTC+2 hours
Helsinki (Finland)      Thu, 30 March 2022      17:00   UTC+3 hours
Shanghai (China)        Thu, 30 March 2022      22:00   UTC+8 hours
Tokyo (Japan)   Thu, 30 March 2022      23:00   UTC+9 hours
Corresponding UTC (GMT) Thu, 30 March 2022      14:00 UTC

Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20230330T14


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-03-30-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/2023/03/30-webmachinelearning-minutes.html


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-03-30-wg-agenda.md#agenda>Agenda
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-03-30-wg-agenda.md#%E2%84%B9%EF%B8%8F-webnn---webidl-and-infra-standard-conventions>ℹ️ WebNN - WebIDL and Infra standard conventions

  *   The constant() method steps

     *    Spec: https://www.w3.org/TR/webnn/#dom-mlgraphbuilder-constant

     *    Spec: https://www.w3.org/TR/webnn/#dom-mlgraphbuilder-constant-value-type
     *    PR: webmachinelearning/webnn#365<https://github.com/webmachinelearning/webnn/pull/365>
  *   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>
  *   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>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2023-03-30-wg-agenda.md#%E2%84%B9%EF%B8%8F-webnn---enhancements-editorials-questions>ℹ️ WebNN - enhancements, editorials, questions

  *   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>