WebML CG Teleconference – 6 April 2022 - 05:00-06:00 UTC+0

Latest version: https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-04-06-cg-agenda.md


WebML CG Teleconference – 6 April 2022 - 05:00-06:00 UTC+0
See the timezone table ...
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-04-06-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/2022/04/06-webmachinelearning-minutes.html


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<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-04-06-cg-agenda.md#agenda>Agenda
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-04-06-cg-agenda.md#%E2%84%B9%EF%B8%8F-model-loader-api---chromium-implementation-update>ℹ️ Model Loader API - Chromium implementation update
An update on the experimental implementation.

Patches submitted 3520923<https://chromium-review.googlesource.com/c/chromium/src/+/3520923> and in review 3520923<https://chromium-review.googlesource.com/c/chromium/src/+/3520923>, 3473544<https://chromium-review.googlesource.com/c/chromiumos/platform2/+/3473544>, 3521114<https://chromium-review.googlesource.com/c/chromium/src/+/3521114>, 3555501<https://chromium-review.googlesource.com/c/chromium/src/+/3555501>, 3524241<https://chromium-review.googlesource.com/c/chromium/src/+/3524241>, 3525653<https://chromium-review.googlesource.com/c/chromium/src/+/3525653>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-04-06-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>
  *   Integration of media capture transform webmachinelearning/model-loader#33<https://github.com/webmachinelearning/model-loader/issues/33>
  *   "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>

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2022-04-06-cg-agenda.md#%E2%84%B9%EF%B8%8F-model-loader-api---recap-from-last-sync>ℹ️ Model Loader API - recap from last sync
Revisit the topics from the last sync 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/2022-04-06-cg-agenda.md#%E2%84%B9%EF%B8%8F-references>ℹ️ References

  *   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/>