Enable oneDNN QLinear FP32/BF16 output #112126
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leslie-fang-intel
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/112126
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (2 Unrelated Failures)As of commit 98ba52d with merge base 0d95378 ( FLAKY - The following job failed but was likely due to flakiness present on trunk:
BROKEN TRUNK - The following job failed but was present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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**Summary** - PR 2 for enabling Int8-Mixed-BF16 PT2E PTQ Quantization with Inductor #111640. - Enable QLinear (relu) with BFloat16 or Float32 output. **TestPlan** ``` python -u -m pytest -s -v test_quantized_op.py -k test_qlinear_pt2e ``` cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 voznesenskym penguinwu EikanWang Guobing-Chen zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 aakhundov ColinPeppler [ghstack-poisoned]
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ghstack-source-id: 45b6cd0 Pull Request resolved: pytorch#112126
**Summary** - PR 2 for enabling Int8-Mixed-BF16 PT2E PTQ Quantization with Inductor #111640. - Enable QLinear (relu) with BFloat16 or Float32 output. **TestPlan** ``` python -u -m pytest -s -v test_quantized_op.py -k test_qlinear_pt2e ``` cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 voznesenskym penguinwu EikanWang Guobing-Chen zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 aakhundov ColinPeppler [ghstack-poisoned]
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ghstack-source-id: 807ea00 Pull Request resolved: pytorch#112126
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…torQuantizer (#112140) **Summary** - PR 3 for enabling Int8-Mixed-BF16 PT2E PTQ Quantization with Inductor #111640. - Remove the output annotation of QConv/QLinear in X86InductorQuantizer. **Test Plan** ``` python -m pytest test_mkldnn_pattern_matcher.py -k test_qconv2d python -m pytest test_mkldnn_pattern_matcher.py -k test_qlinear python -m pytest test_x86inductor_quantizer.py -k Conv2d python -m pytest test_x86inductor_quantizer.py -k Linear ``` Pull Request resolved: #112140 Approved by: https://github.com/jgong5, https://github.com/jerryzh168 ghstack dependencies: #112010, #112126
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**Summary** - PR 2 for enabling Int8-Mixed-BF16 PT2E PTQ Quantization with Inductor pytorch#111640. - Enable QLinear (relu) with BFloat16 or Float32 output. **TestPlan** ``` python -u -m pytest -s -v test_quantized_op.py -k test_qlinear_pt2e ``` Pull Request resolved: pytorch#112126 Approved by: https://github.com/jerryzh168, https://github.com/jgong5 ghstack dependencies: pytorch#112010
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…torQuantizer (pytorch#112140) **Summary** - PR 3 for enabling Int8-Mixed-BF16 PT2E PTQ Quantization with Inductor pytorch#111640. - Remove the output annotation of QConv/QLinear in X86InductorQuantizer. **Test Plan** ``` python -m pytest test_mkldnn_pattern_matcher.py -k test_qconv2d python -m pytest test_mkldnn_pattern_matcher.py -k test_qlinear python -m pytest test_x86inductor_quantizer.py -k Conv2d python -m pytest test_x86inductor_quantizer.py -k Linear ``` Pull Request resolved: pytorch#112140 Approved by: https://github.com/jgong5, https://github.com/jerryzh168 ghstack dependencies: pytorch#112010, pytorch#112126
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Nov 14, 2023
**Summary** - PR 2 for enabling Int8-Mixed-BF16 PT2E PTQ Quantization with Inductor pytorch#111640. - Enable QLinear (relu) with BFloat16 or Float32 output. **TestPlan** ``` python -u -m pytest -s -v test_quantized_op.py -k test_qlinear_pt2e ``` Pull Request resolved: pytorch#112126 Approved by: https://github.com/jerryzh168, https://github.com/jgong5 ghstack dependencies: pytorch#112010
Skylion007
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Nov 14, 2023
…torQuantizer (pytorch#112140) **Summary** - PR 3 for enabling Int8-Mixed-BF16 PT2E PTQ Quantization with Inductor pytorch#111640. - Remove the output annotation of QConv/QLinear in X86InductorQuantizer. **Test Plan** ``` python -m pytest test_mkldnn_pattern_matcher.py -k test_qconv2d python -m pytest test_mkldnn_pattern_matcher.py -k test_qlinear python -m pytest test_x86inductor_quantizer.py -k Conv2d python -m pytest test_x86inductor_quantizer.py -k Linear ``` Pull Request resolved: pytorch#112140 Approved by: https://github.com/jgong5, https://github.com/jerryzh168 ghstack dependencies: pytorch#112010, pytorch#112126
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Summary
TestPlan
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @voznesenskym @penguinwu @EikanWang @Guobing-Chen @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @peterbell10 @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @aakhundov @ColinPeppler