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[Inductor][CPP] Pass weight dtype explicitly for cpp gemm template #129221
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[Inductor][CPP] Pass weight dtype explicitly for cpp gemm template #129221
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[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/129221
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit 788e7f2 with merge base dabaebd ( FLAKY - The following job failed but was likely due to flakiness present on trunk:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
…template" **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. 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]
…template" **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. 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]
…template" **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. 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]
…template" **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. 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]
…template" **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. 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]
…template" **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. 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]
…template" **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. 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]
…template" **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. 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]
…template" **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. 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, I think I have also modified |
…template" **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. 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]
…template" **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. 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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@pytorchbot merge |
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 |
… 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
Stack from ghstack (oldest at bottom):
Summary
This PR mainly refactor 2 things:
create_micro_gemmasinput2.dtype. When registeringCppMicroGemmConfig, we will reuseinput.dtypeifinput2.dtypeis not explicitly registered.cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @peterbell10 @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang