WebML WG Teleconference – 2 June 2022 - 14:00-15:00 UTC

Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-02-wg-agenda.md


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

Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20220602T14


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-02-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

  *   Call-in details: https://lists.w3.org/Archives/Member/internal-webmachinelearning/2020Apr/0000.html

  *   Minutes: https://www.w3.org/2022/06/02-webmachinelearning-minutes.html


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-02-wg-agenda.md#%E2%84%B9%EF%B8%8F-announcements>ℹ️ Announcements

  *   Model Loader API Dev Trial in Chrome OS M102

(See also implementation status discussions: webmachinelearning/webnn#223<https://github.com/webmachinelearning/webnn/issues/223>)

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-02-wg-agenda.md#%E2%84%B9%EF%B8%8F-commandbuffer-usage-clarification>ℹ️ CommandBuffer usage clarification
Discuss on how to address the WebGPU resource usage and sharing issues in preparation for the WebGPU WG review.

  *    issue: CommandBuffer usage clarification: internal, external, both? webmachinelearning/webnn#264<https://github.com/webmachinelearning/webnn/issues/264>
  *    WebGPU issue: Investigation: WebNN / WebGPU interop gpuweb/gpuweb#2500<https://github.com/gpuweb/gpuweb/issues/2500>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-02-wg-agenda.md#%E2%84%B9%EF%B8%8F-webgl-interoperability-requirements>ℹ️ WebGL interoperability requirements
Please provide your feedback latest by this meeting if you have concerns with dropping WebGL interoperability requirements from the specification.

  *    issue: RfC: drop WebGL interoperability requirements webmachinelearning/webnn#268<https://github.com/webmachinelearning/webnn/issues/268>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-02-wg-agenda.md#%E2%84%B9%EF%B8%8F-privacy-review-refresh>ℹ️ Privacy Review refresh
Discuss and review any privacy-impacting changes since the initial PING review. Propose solutions to open privacy-tracker issues.

[DONE] PING reviewed our initial self-review response (#119), we merged the self-review (#132) and added initial Security and Privacy Considerations (#170):

  *    issue: [2020-11-05] Initial Self-Review Questionnaire response: Security and Privacy webmachinelearning/webnn#119<https://github.com/webmachinelearning/webnn/issues/119>
  *    PR: [2021-02-18] Add responses to the Self-Review Questionnaire: Security and Privacy webmachinelearning/webnn#132<https://github.com/webmachinelearning/webnn/pull/132>
  *    PR: [2021-05-27] Add initial Security and Privacy Considerations sections webmachinelearning/webnn#170<https://github.com/webmachinelearning/webnn/pull/170>

[TODO] Review changes since 2021-05-27 for any privacy-impacting changes:

  *    PR: [2022-05-21] Add privacy considerations for cached/persisted data webmachinelearning/webnn#259<https://github.com/webmachinelearning/webnn/pull/259>

  *   HTML diff<https://services.w3.org/htmldiff?doc1=https%3A%2F%2Fcdn.statically.io%2Fgh%2Fwebmachinelearning%2Fwebnn%2Fc7a47c0346ca0316258d290f33af3bd35b433b72%2Findex.bs&doc2=https%3A%2F%2Fwww.w3.org%2FTR%2Fwebnn%2F> for changes since 2021-05-27

  *   All PRs merged<https://github.com/webmachinelearning/webnn/pulls?q=is%3Apr+merged%3A%3E%3D2021-05-27> since 2021-05-27

[TODO] Open privacy-tracker issues:

  *    issue: [2021-06-03] Related WebGPU/GL Security and Privacy Considerations webmachinelearning/webnn#175<https://github.com/webmachinelearning/webnn/issues/175>
  *    issue: [2021-05-13] Device selection with MLDevicePreference and MLPowerPreference webmachinelearning/webnn#169<https://github.com/webmachinelearning/webnn/issues/169>
  *    issue: [2020-08-27] Fingerprinting via matmul webmachinelearning/webnn#85<https://github.com/webmachinelearning/webnn/issues/85>
  *    issue: [2018-10-26] Cosine similarity between two facial features and cross origin tracking webmachinelearning/webnn#7<https://github.com/webmachinelearning/webnn/issues/7>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-06-02-wg-agenda.md#%E2%84%B9%EF%B8%8F-open-issues-and-pull-requests>ℹ️ Open issues and pull requests
Discuss/resolve open issues and review open PRs pending review, time permitting.

  *   Open issues: https://github.com/webmachinelearning/webnn/issues

  *   Open PRs: https://github.com/webmachinelearning/webnn/pulls