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[quant][core][gpu][improvement] Made plan and run for quantized linear op conform with Conv_v8.cpp#77519

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[quant][core][gpu][improvement] Made plan and run for quantized linear op conform with Conv_v8.cpp#77519
dzdang wants to merge 1 commit intogh/dzdang/117/basefrom
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@dzdang dzdang commented May 16, 2022

Stack from ghstack (oldest at bottom):

Summary:
See #76788 summary. Same idea
applies here but for the linear operator

Test Plan:

python test/test_quantization.py -k test_qlinear_cudnn

Differential Revision: D36403831

…r op conform with Conv_v8.cpp

Summary:
See #76788 summary. Same idea
applies here but for the linear operator

Test Plan:
```
python test/test_quantization.py -k test_qlinear_cudnn
```

[ghstack-poisoned]
dzdang added a commit that referenced this pull request May 16, 2022
…r op conform with Conv_v8.cpp

Summary:
See #76788 summary. Same idea
applies here but for the linear operator

Test Plan:
```
python test/test_quantization.py -k test_qlinear_cudnn
```

ghstack-source-id: 8e93068
Pull Request resolved: #77519
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dzdang commented May 16, 2022

@dzdang has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

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@pytorchbot merge

(Initiating merge automatically since Phabricator Diff has merged)

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Hey @dzdang.
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 May 25, 2022
…r op conform with Conv_v8.cpp (#77519)

Summary:
Pull Request resolved: #77519

See #76788 summary. Same idea
applies here but for the linear operator

Test Plan:
```
python test/test_quantization.py -k test_qlinear_cudnn
```

Reviewed By: jerryzh168

Differential Revision: D36403831

Pulled By: dzdang

fbshipit-source-id: 971590efbed4340d12e5b9e420c86e8ad5c25008
@facebook-github-bot facebook-github-bot deleted the gh/dzdang/117/head branch May 28, 2022 14:17
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