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Summary: - Use TensorMetadat struct in saving tensor info from Optimizer and nnModule.

Test Plan: buck run mode/opt //caffe2/test:profiler

Reviewed By: chaekit

Differential Revision: D39682205

@slgong-fb slgong-fb requested a review from robieta as a code owner October 1, 2022 05:04
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pytorch-bot bot commented Oct 1, 2022

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/86047

Note: Links to docs will display an error until the docs builds have been completed.

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This pull request was exported from Phabricator. Differential Revision: D39682205

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This pull request was exported from Phabricator. Differential Revision: D39682205

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This pull request was exported from Phabricator. Differential Revision: D39682205

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linux-foundation-easycla bot commented Oct 3, 2022

CLA Signed

The committers listed above are authorized under a signed CLA.

  • ✅ login: slgong-fb / name: Seonglyong Gong (39263afb6fca6efc4995739a8d3368ffcffc210a)

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/easycla

As part of the transition to the PyTorch Foundation, this project now requires contributions be covered under the new CLA. See #85559 for additional details.

This comment will trigger a new check of this PR. If you are already covered, you will simply see a new "EasyCLA" check that passes. If you are not covered, a bot will leave a new comment with a link to sign.

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This pull request was exported from Phabricator. Differential Revision: D39682205

@slgong-fb slgong-fb force-pushed the export-D39682205 branch 2 times, most recently from 1cd5d32 to 145bdea Compare October 4, 2022 23:23
slgong-fb added a commit to slgong-fb/pytorch that referenced this pull request Oct 4, 2022
…6047)

Summary:
Pull Request resolved: pytorch#86047

- Use `TensorMetadat` struct in saving tensor info from Optimizer and nnModule.

Test Plan: buck run mode/opt //caffe2/test:profiler

Reviewed By: chaekit

Differential Revision: D39682205

fbshipit-source-id: 8bc77cd62bace149044b561ffa332c14ee54a152
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This pull request was exported from Phabricator. Differential Revision: D39682205

@pytorch-bot pytorch-bot bot added the ciflow/trunk Trigger trunk jobs on your pull request label Oct 5, 2022
…6047)

Summary:
Pull Request resolved: pytorch#86047

- Use `TensorMetadat` struct in saving tensor info from Optimizer and nnModule.

Test Plan: buck run mode/opt //caffe2/test:profiler

Reviewed By: chaekit, robieta

Differential Revision: D39682205

fbshipit-source-id: cb1d2f8871808eebf5a91d9c4af057e13de1266b
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This pull request was exported from Phabricator. Differential Revision: D39682205

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@pytorchbot merge

(Initiating merge automatically since Phabricator Diff has merged)

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@pytorchbot successfully started a merge job. Check the current status here.
The merge job was triggered without a flag. This means that your change will be merged once all checks on your PR have passed (ETA: 0-4 Hours). If this is not the intended behavior, feel free to use some of the other merge options in the wiki.
Please reach out to the PyTorch DevX Team with feedback or questions!

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github-actions bot commented Oct 6, 2022

Hey @slgong-fb.
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.

facebook-github-bot pushed a commit that referenced this pull request Oct 6, 2022
Summary:
Pull Request resolved: #86047

- Use `TensorMetadat` struct in saving tensor info from Optimizer and nnModule.

Test Plan: buck run mode/opt //caffe2/test:profiler

Reviewed By: chaekit, robieta

Differential Revision: D39682205

fbshipit-source-id: 6e1b9638e332bda77d6226e8c4ee282092583caa
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