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

<details><summary>See the timezone table ...</summary>
<table>
<tr><td> San Francisco (U.S.A. - California) <td> Tue, 5 April 2022 <td> 22:00 <td> UTC-7 hours
<tr><td> Boston (U.S.A. - Massachusetts) <td> Wed, 6 April 2022 <td> 01:00 <td> UTC-4 hours
<tr><td> London (United Kingdom - England) <td> Wed, 6 April 2022 <td> 06:00 <td> UTC+1 hours
<tr><td> Berlin (Germany) <td> Wed, 6 April 2022 <td> 07:00 <td> UTC+2 hours
<tr><td> Helsinki (Finland) <td> Wed, 6 April 2022 <td> 08:00 <td> UTC+3 hours
<tr><td> Shanghai (China) <td> Wed, 6 April 2022 <td> 13:00 <td> UTC+8 hours
<tr><td> Tokyo (Japan) <td> Wed, 6 April 2022 <td> 14:00 <td> UTC+9 hours
<tr><td> Sydney (Australia) <td> Wed, 6 April 2022 <td> 15:00 <td> UTC+10 hours
<tr><td> Corresponding UTC (GMT) <td> Wed, 6 April 2022 <td colspan=2> 05:00 UTC
</table>

Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20220406T05
</details>

## 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

---

## Agenda

### 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)

### 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" https://github.com/webmachinelearning/model-loader/issues/35
- Integration of media capture transform https://github.com/webmachinelearning/model-loader/issues/33
- "default" v.s. "auto" in MLDevicePreference and MLPowerPreference https://github.com/webmachinelearning/model-loader/issues/30
- Add performance/usage Hints https://github.com/webmachinelearning/model-loader/issues/34

### ℹ️ Model Loader API - recap from last sync

>Revisit the topics from the last sync for any updates from the community.
- Versioning https://github.com/webmachinelearning/model-loader/issues/25
- Streaming inputs https://github.com/webmachinelearning/model-loader/issues/26
- Standard model format https://github.com/webmachinelearning/model-loader/issues/28
- Support for non-IEEE 754 float point types 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.


#### 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/)

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