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Summary:
Original commit changeset: d653a5af662a

Original Phabricator Diff: D35060736 (d9d3492)

Test Plan: Model loading test, verified that D35060736 (d9d3492) will cause the torch::save => torch::load failure.

Reviewed By: yinghai, jianyuh

Differential Revision: D35387009

@facebook-github-bot facebook-github-bot added cla signed oncall: jit Add this issue/PR to JIT oncall triage queue labels Apr 5, 2022
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facebook-github-bot commented Apr 5, 2022

🔗 Helpful links

💊 CI failures summary and remediations

As of commit 12b6dd8 (more details on the Dr. CI page):


  • 1/1 failures introduced in this PR

🕵️‍♀️ 1 failure not recognized by patterns:

The following CI failures may be due to changes from the PR
Job Step Action
GitHub Actions pull / linux-xenial-py3.7-gcc7-no-ops / build Checkout PyTorch 🔁 rerun

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This pull request was exported from Phabricator. Differential Revision: D35387009

Summary:
Pull Request resolved: pytorch#75244

Original commit changeset: d653a5af662a

Original Phabricator Diff: D35060736 (pytorch@d9d3492)

Test Plan: Model loading test, verified that D35060736 (pytorch@d9d3492) will cause the torch::save => torch::load failure.

Reviewed By: yinghai, jianyuh

Differential Revision: D35387009

fbshipit-source-id: 734b565da9a143d10f5536adaf6b481604c5fbc4
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This pull request was exported from Phabricator. Differential Revision: D35387009

facebook-github-bot pushed a commit that referenced this pull request Apr 5, 2022
Summary:
Pull Request resolved: #75244

Original commit changeset: d653a5af662a

Original Phabricator Diff: D35060736 (d9d3492)

Test Plan: Model loading test, verified that D35060736 (d9d3492) will cause the torch::save => torch::load failure.

Reviewed By: yinghai, jianyuh

Differential Revision: D35387009

fbshipit-source-id: 9d176992d402d57779e2af3d905b3c1538335298
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github-actions bot commented Apr 5, 2022

Hey @houseroad.
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.

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