[Inductor][CPP] Enable Quantized Linear GEMM Template with INT8 output and Unary Post Op #129048
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…t and Unary Post Op [ghstack-poisoned]
This was referenced Jun 19, 2024
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/129048
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leslie-fang-intel
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ciflow/trunk
This was referenced Jun 19, 2024
… INT8 output and Unary Post Op" **Summary** Based on previous PR, add the config to support of int8 output and unary post op fusion with `ReLU` and `GeLU` - Activation dtype: uint8 - Weight dtype: int8 - Output dtype: float32/bfloat16/uint8 - Post Op Fusion: with unary post operator fusion **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_with_pointwise ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [ ] Binary Fusion - [ ] AMX int8 MicroGEMM Kernel cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang [ghstack-poisoned]
… INT8 output and Unary Post Op" **Summary** Based on previous PR, add the config to support of int8 output and unary post op fusion with `ReLU` and `GeLU` - Activation dtype: uint8 - Weight dtype: int8 - Output dtype: float32/bfloat16/uint8 - Post Op Fusion: with unary post operator fusion **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_with_pointwise ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [ ] Binary Fusion - [ ] AMX int8 MicroGEMM Kernel cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang [ghstack-poisoned]
… INT8 output and Unary Post Op" **Summary** Based on previous PR, add the config to support of int8 output and unary post op fusion with `ReLU` and `GeLU` - Activation dtype: uint8 - Weight dtype: int8 - Output dtype: float32/bfloat16/uint8 - Post Op Fusion: with unary post operator fusion **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_with_pointwise ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [ ] Binary Fusion - [ ] AMX int8 MicroGEMM Kernel cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang [ghstack-poisoned]
leslie-fang-intel
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Jun 21, 2024
…t and Unary Post Op ghstack-source-id: 234e69c Pull Request resolved: pytorch#129048
… INT8 output and Unary Post Op" **Summary** Based on previous PR, add the config to support of int8 output and unary post op fusion with `ReLU` and `GeLU` - Activation dtype: uint8 - Weight dtype: int8 - Output dtype: float32/bfloat16/uint8 - Post Op Fusion: with unary post operator fusion **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_with_pointwise ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [ ] Binary Fusion - [ ] AMX int8 MicroGEMM Kernel cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang [ghstack-poisoned]
This was referenced Jun 21, 2024
jgong5
approved these changes
Jun 21, 2024
| exact_dtype=True, | ||
| ) | ||
| self.assertEqual(counters["inductor"]["select_algorithm_autotune"], 1) | ||
| self.assertEqual(counters["inductor"]["select_algorithm_autotune"], 2) |
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why?
Also, please add check: self.assertEqual(counters["inductor"]["cpp_epilogue_fusion_counter"], 1)
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The testcase has been changed from single Linear module to 2 nearby Linear modules. That will hit the autotuning twice.
Thanks and added the check of self.assertEqual(counters["inductor"]["cpp_epilogue_fusion_counter"], 0), since the relu, gelu has been fused into onednn.qlinear as part of template instead of fusion by scheduler.
… INT8 output and Unary Post Op" **Summary** Based on previous PR, add the config to support of int8 output and unary post op fusion with `ReLU` and `GeLU` - Activation dtype: uint8 - Weight dtype: int8 - Output dtype: float32/bfloat16/uint8 - Post Op Fusion: with unary post operator fusion **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_with_pointwise ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [ ] Binary Fusion - [ ] AMX int8 MicroGEMM Kernel cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang [ghstack-poisoned]
… INT8 output and Unary Post Op" **Summary** Based on previous PR, add the config to support of int8 output and unary post op fusion with `ReLU` and `GeLU` - Activation dtype: uint8 - Weight dtype: int8 - Output dtype: float32/bfloat16/uint8 - Post Op Fusion: with unary post operator fusion **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_with_pointwise ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [ ] Binary Fusion - [ ] AMX int8 MicroGEMM Kernel cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang [ghstack-poisoned]
… INT8 output and Unary Post Op" **Summary** Based on previous PR, add the config to support of int8 output and unary post op fusion with `ReLU` and `GeLU` - Activation dtype: uint8 - Weight dtype: int8 - Output dtype: float32/bfloat16/uint8 - Post Op Fusion: with unary post operator fusion **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_with_pointwise ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [ ] Binary Fusion - [ ] AMX int8 MicroGEMM Kernel cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang [ghstack-poisoned]
… INT8 output and Unary Post Op" **Summary** Based on previous PR, add the config to support of int8 output and unary post op fusion with `ReLU` and `GeLU` - Activation dtype: uint8 - Weight dtype: int8 - Output dtype: float32/bfloat16/uint8 - Post Op Fusion: with unary post operator fusion **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_with_pointwise ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [ ] Binary Fusion - [ ] AMX int8 MicroGEMM Kernel cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang [ghstack-poisoned]
… INT8 output and Unary Post Op" **Summary** Based on previous PR, add the config to support of int8 output and unary post op fusion with `ReLU` and `GeLU` - Activation dtype: uint8 - Weight dtype: int8 - Output dtype: float32/bfloat16/uint8 - Post Op Fusion: with unary post operator fusion **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_with_pointwise ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [ ] Binary Fusion - [ ] AMX int8 MicroGEMM Kernel cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang [ghstack-poisoned]
… INT8 output and Unary Post Op" **Summary** Based on previous PR, add the config to support of int8 output and unary post op fusion with `ReLU` and `GeLU` - Activation dtype: uint8 - Weight dtype: int8 - Output dtype: float32/bfloat16/uint8 - Post Op Fusion: with unary post operator fusion **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_with_pointwise ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [ ] Binary Fusion - [ ] AMX int8 MicroGEMM Kernel cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang [ghstack-poisoned]
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Hi @jansel, this PR may also need your kind review since I have modified |
… INT8 output and Unary Post Op" **Summary** Based on previous PR, add the config to support of int8 output and unary post op fusion with `ReLU` and `GeLU` - Activation dtype: uint8 - Weight dtype: int8 - Output dtype: float32/bfloat16/uint8 - Post Op Fusion: with unary post operator fusion **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_with_pointwise ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [ ] Binary Fusion - [ ] AMX int8 MicroGEMM Kernel cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx peterbell10 ipiszy yf225 chenyang78 kadeng muchulee8 ColinPeppler amjames desertfire chauhang [ghstack-poisoned]
jansel
approved these changes
Jun 28, 2024
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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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**Summary** We change the schema of QLinear Binary, so it will be easier to enable the corresponding gemm template. - Extra input of binary post-op is a tensor which needs to be an input node of autotuning, we need to move it at front of `output_scale` which is a scalar. - We also move it at front of `bias`, since `bias` is optional tensor for this fusion, but `other` is a must to have for linear binary fusion. **Test Plan** ``` python -u -m pytest -s -v test/quantization/core/test_quantized_op.py -k qlinear python -u -m pytest -s -v test/inductor/test_mkldnn_pattern_matcher.py -k qlinear ``` Pull Request resolved: #129049 Approved by: https://github.com/jgong5, https://github.com/jansel ghstack dependencies: #128825, #129048
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…ion (#129103) **Summary** Based on previous PR, add the config to support quantized linear binary - optional(unary) post op fusion. - Activation dtype: uint8 - Weight dtype: int8 - Output dtype: float32/bfloat16/uint8 - Post Op Fusion: with binary and optional[Unary] post operator fusion **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_with_pointwise_binary ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [✓] Binary Fusion - [ ] AMX int8 MicroGEMM Kernel Pull Request resolved: #129103 Approved by: https://github.com/jgong5, https://github.com/jansel ghstack dependencies: #128825, #129048, #129049
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**Summary** Add the AMX micro gemm kernel with int8 data type. **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_amx ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [✓] Binary Fusion - [✓] AMX int8 MicroGEMM Kernel Pull Request resolved: #129220 Approved by: https://github.com/jgong5 ghstack dependencies: #128825, #129048, #129049, #129103
pytorchmergebot
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Jul 2, 2024
…129221) **Summary** This PR mainly refactor 2 things: 1. Passing in weight's data type explicitly in `create_micro_gemm` as `input2.dtype`. When registering `CppMicroGemmConfig`, we will reuse `input.dtype` if `input2.dtype` is not explicitly registered. 2. Add an util function to get the output data type and compute data type from input data type. Pull Request resolved: #129221 Approved by: https://github.com/jgong5, https://github.com/jansel ghstack dependencies: #128825, #129048, #129049, #129103, #129220
pytorchmergebot
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… template (#129470) **Summary** Remove redundant INT8-specific logic in the INT8 GEMM template to unify the code structure with FP32/BF16/FP16 GEMM Template. **Test Plan** ``` numactl -C 56-111 -m 1 python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear ``` Pull Request resolved: #129470 Approved by: https://github.com/jgong5 ghstack dependencies: #128825, #129048, #129049, #129103, #129220, #129221
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…t and Unary Post Op (pytorch#129048) **Summary** Based on previous PR, add the config to support of int8 output and unary post op fusion with `ReLU` and `GeLU` - Activation dtype: uint8 - Weight dtype: int8 - Output dtype: float32/bfloat16/uint8 - Post Op Fusion: with unary post operator fusion **Test Plan** ``` clear && python -u -m pytest -s -v test/inductor/test_cpu_select_algorithm.py -k test_quantized_linear_with_pointwise ``` **Next Step** - [✓] Unary post op fusion - [✓] Int8 output - [ ] Binary Fusion - [ ] AMX int8 MicroGEMM Kernel Pull Request resolved: pytorch#129048 Approved by: https://github.com/jgong5, https://github.com/jansel ghstack dependencies: pytorch#128825
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Stack from ghstack (oldest at bottom):
Summary
Based on previous PR, add the config to support of int8 output and unary post op fusion with
ReLUandGeLUTest Plan
Next Step
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @peterbell10 @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang