[Quant] lower fused LinearTanh for onednn backend #89188
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[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/89188
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit f725426: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
This was referenced Nov 17, 2022
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oncall: quantization
cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel [ghstack-poisoned]
cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel [ghstack-poisoned]
cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel [ghstack-poisoned]
cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel [ghstack-poisoned]
**Summary** Add fuser method and quantization mappings for `QLinearLeakyReLU` for int8 inference for onednn backend. The fusion and lowering are supported only in FX mode. **Test plan** python test_quantization.py TestFuseFx TestQuantizeFx cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel [ghstack-poisoned]
**Summary** Add fuser method and quantization mappings for `QLinearLeakyReLU` for int8 inference for onednn backend. The fusion and lowering are supported only in FX mode. **Test plan** python test_quantization.py TestFuseFx TestQuantizeFx cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]
**Summary** Add fuser method and quantization mappings for `QLinearLeakyReLU` for int8 inference for onednn backend. The fusion and lowering are supported only in FX mode. **Test plan** python test_quantization.py TestFuseFx TestQuantizeFx cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]
**Summary** Add fuser method and quantization mappings for `QLinearLeakyReLU` for int8 inference for onednn backend. The fusion and lowering are supported only in FX mode. **Test plan** python test_quantization.py TestFuseFx TestQuantizeFx cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]
**Summary** Add fuser method and quantization mappings for `QLinearLeakyReLU` for int8 inference for onednn backend. The fusion and lowering are supported only in FX mode. **Test plan** python test_quantization.py TestFuseFx TestQuantizeFx cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]
**Summary** Add fuser method and quantization mappings for `QLinearLeakyReLU` for int8 inference for onednn backend. The fusion and lowering are supported only in FX mode. **Test plan** python test_quantization.py TestFuseFx TestQuantizeFx cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]
**Summary** Add fuser method and quantization mappings for `QLinearLeakyReLU` for int8 inference for onednn backend. The fusion and lowering are supported only in FX mode. **Test plan** python test_quantization.py TestFuseFx TestQuantizeFx cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]
**Summary** Add fuser method and quantization mappings for `QLinearLeakyReLU` for int8 inference for onednn backend. The fusion and lowering are supported only in FX mode. **Test plan** python test_quantization.py TestFuseFx TestQuantizeFx cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]
**Summary** Add fuser method and quantization mappings for `QLinearLeakyReLU` for int8 inference for onednn backend. The fusion and lowering are supported only in FX mode. **Test plan** python test_quantization.py TestFuseFx TestQuantizeFx cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]
**Summary** Add fuser method and quantization mappings for `QLinearLeakyReLU` for int8 inference for onednn backend. The fusion and lowering are supported only in FX mode. **Test plan** python test_quantization.py TestFuseFx TestQuantizeFx cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]
**Summary** Add fuser method and quantization mappings for `QLinearLeakyReLU` for int8 inference for onednn backend. The fusion and lowering are supported only in FX mode. **Test plan** python test_quantization.py TestFuseFx TestQuantizeFx cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]
**Summary** Add fuser method and quantization mappings for `QLinearLeakyReLU` for int8 inference for onednn backend. The fusion and lowering are supported only in FX mode. **Test plan** python test_quantization.py TestFuseFx TestQuantizeFx cc jerryzh168 jianyuh raghuramank100 jamesr66a vkuzo jgong5 leslie-fang-intel mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]
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Hi @jerryzh168 I have made changes per your comments. Please take a look again. Thanks! |
jerryzh168
approved these changes
Dec 20, 2022
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|
@pytorchbot merge |
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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 |
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Stack from ghstack (oldest at bottom):
Summary
Add fuser method and quantization mappings for
QLinearLeakyReLUfor int8 inference for onednn backend. The fusion and lowering are supported only in FX mode.Test plan
python test_quantization.py TestFuseFx TestQuantizeFx
cc @jerryzh168 @jianyuh @raghuramank100 @jamesr66a @vkuzo @jgong5 @leslie-fang-intel @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10