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[ FL-gradient quantization] Adding QNN unpack feature #92714
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/92714
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit d6a8dd2: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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LGTM
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Check lint / test failures.
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Summary: We are trying to add a new feature for quantized gradient computation which enables backward() function for QNNPACK Pull Request resolved: pytorch#92714 Test Plan: buck2 test //caffe2/test/quantization:quantization -- test_qlinear_qnnpack_free_memory_and_unpack cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 Reviewed By: digantdesai, jianyuh Differential Revision: D40927291 Pulled By: kwanghoon-meta fbshipit-source-id: 50e7330c1746655261fa00e41a4e4c966c27bb78
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@pytorchbot merge (Initiating merge automatically since Phabricator Diff has merged) |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Summary: We are trying to add a new feature for quantized gradient computation which enables backward() function for QNNPACK
Test Plan: buck2 test //caffe2/test/quantization:quantization -- test_qlinear_qnnpack_free_memory_and_unpack
Differential Revision: D40927291
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10