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add iOS model test #73746

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@linbinyu linbinyu commented Mar 3, 2022

Differential Revision: D34616936

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facebook-github-bot commented Mar 3, 2022

This pull request was exported from Phabricator. Differential Revision: D34616936

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facebook-github-bot commented Mar 3, 2022

This pull request was exported from Phabricator. Differential Revision: D34616936

@linbinyu @facebook-github-bot
[OSS] add script to generate test models for mobile (pytorch#73746)
a5e4ed3 
Summary:
Pull Request resolved: pytorch#73746

Added some scripts to generate 4 models for OSS mobile test

- tensor related ops
- math ops
- neural net related ops
- random sampling ops

So far these models covered around half of root ops used in production.
Will continue to iterate for more ops.

Also updated iOS test to run these test models.

Test Plan:
all tests pass on iOS simulator

{F708807282}

Reviewed By: xta0

Differential Revision: D34616936

fbshipit-source-id: b01850d84844212056bef0465cb3ca557cad8c68
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facebook-github-bot commented Mar 9, 2022

This pull request was exported from Phabricator. Differential Revision: D34616936

facebook-github-bot pushed a commit that referenced this pull request Mar 9, 2022
@linbinyu @facebook-github-bot
[OSS] add script to generate test models for mobile (#73746)
4b1d52b 
Summary:
Pull Request resolved: #73746

Added some scripts to generate 4 models for OSS mobile test

- tensor related ops
- math ops
- neural net related ops
- random sampling ops

So far these models covered around half of root ops used in production.
Will continue to iterate for more ops.

Also updated iOS test to run these test models.

Test Plan:
all tests passed on iOS simulator

{F708807282}

Reviewed By: xta0

Differential Revision: D34616936

fbshipit-source-id: c7b7b4644f766924f0914fbfe1beec2d8e098c38
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github-actions bot commented Mar 9, 2022

Hey @linbinyu.
You've committed this PR, but it does not have both a 'release notes: ...' and 'topics: ...' label. Please add one of each to the PR. The 'release notes: ...' label should represent the part of PyTorch that this PR changes (fx, autograd, distributed, etc) and the 'topics: ...' label should represent the kind of PR it is (not user facing, new feature, bug fix, perf improvement, etc). The list of valid labels can be found here for the 'release notes: ...' and here for the 'topics: ...'.
For changes that are 'topic: not user facing' there is no need for a release notes label.

@WBobby WBobby mentioned this pull request Aug 17, 2022
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