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Jit save/load meta tensors #73435

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@qxy11 qxy11 commented Feb 25, 2022

Summary: Add support for torch.jit.save and load for meta tensors to use in meta tensor based xl weights.

Test Plan:

buck test //caffe2/test:jit && -- -r .*save_load_meta_tensors.*

Differential Revision: D34479511

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@facebook-github-bot facebook-github-bot added oncall: jit Add this issue/PR to JIT oncall triage queue fb-exported labels Feb 25, 2022
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facebook-github-bot commented Feb 25, 2022

This pull request was exported from Phabricator. Differential Revision: D34479511

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facebook-github-bot commented Mar 1, 2022

This pull request was exported from Phabricator. Differential Revision: D34479511

@qxy11 qxy11 force-pushed the export-D34479511 branch from 99879d2 to 3a3091c Compare March 1, 2022 19:56
houseroad
houseroad approved these changes Mar 2, 2022
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LGTM

@qxy11 @facebook-github-bot
Jit save/load meta tensors (pytorch#73435)
b81a11f 
Summary:
Pull Request resolved: pytorch#73435

Add support for torch.jit.save and load for meta tensors to use in meta tensor based xl weights.

Test Plan:
```
buck test //caffe2/test:jit && -- -r .*save_load_meta_tensors.*
```

Reviewed By: houseroad

Differential Revision: D34479511

fbshipit-source-id: 29603c2df04288ddb697e2309e13c86e4bfd3036
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facebook-github-bot commented Mar 3, 2022

This pull request was exported from Phabricator. Differential Revision: D34479511

@qxy11 qxy11 force-pushed the export-D34479511 branch from 3a3091c to b81a11f Compare March 3, 2022 17:54
facebook-github-bot pushed a commit that referenced this pull request Mar 10, 2022
@qxy11 @facebook-github-bot
Jit save/load meta tensors (#73435)
ee9aaaf 
Summary:
Pull Request resolved: #73435

Add support for torch.jit.save and load for meta tensors to use in meta tensor based xl weights.

Test Plan:
```
buck test //caffe2/test:jit && -- -r .*save_load_meta_tensors.*
```

Reviewed By: houseroad

Differential Revision: D34479511

fbshipit-source-id: 117ccb12e9e427290a17297204508ec85495e3be
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github-actions bot commented Mar 10, 2022

Hey @qxy11.
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.

@qxy11 qxy11 added release notes: jit release notes category topic: improvements topic category labels Mar 10, 2022
@WBobby WBobby mentioned this pull request Aug 17, 2022
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