Refactor AlgorithmConfig / ProfileResult and put scratch size in AlgorithmDesc #71
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@sunway513 / @deven-amd I'd like to ask for extra pairs of eyes to review this PR. I'll still need to validate/amend this with CUDA path as the new member function is not yet used in CUDA StreamExecutor. |
sunway513
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…nfig-profileresult Refactor AlgorithmConfig / ProfileResult and put scratch size in AlgorithmDesc
jerryyin
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This commit improves JitRunner so that it creates a target machine for the current CPU host which is used to properly initialize LLVM's TargetTransformInfo for such a target. This will enable optimizations such as vectorization in LLVM when using JitRunner. Please, note that, as part of this work, JITTargetMachineBuilder::detectHost() has been extended to include the host CPU name and sub-target features as part of the host CPU detection (https://reviews.llvm.org/D65760). Closes #71 COPYBARA_INTEGRATE_REVIEW=tensorflow/mlir#71 from dcaballe:dcaballe/tm_runner fadb4af5f0c78c0dd0d897395af76809f67f5bab PiperOrigin-RevId: 262452525
jerryyin
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This commit improves JitRunner so that it creates a target machine for the current CPU host which is used to properly initialize LLVM's TargetTransformInfo for such a target. This will enable optimizations such as vectorization in LLVM when using JitRunner. Please, note that, as part of this work, JITTargetMachineBuilder::detectHost() has been extended to include the host CPU name and sub-target features as part of the host CPU detection (https://reviews.llvm.org/D65760). Closes #71 PiperOrigin-RevId: 262452525
ekuznetsov139
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PiperOrigin-RevId: 449112147
cj401-amd
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A preparatory step to amend upstream PR:
tensorflow#20708