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202f83dc4e
Replace (more) exact calculation with hardware approximation. Benefits: Reduced code size. Improved performance for certain scenarios. Experiments show low reduction in precision. Experiments show no significant performance regressions. bfloat16 as well as float16 related calculations may benefit largely from this change. Co-author: @mhalk @amd-hhashemi Pull Request resolved: https://github.com/pytorch/pytorch/pull/165589 Approved by: https://github.com/jeffdaily |
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| .. | ||
| External | ||
| Modules | ||
| Modules_CUDA_fix | ||
| public | ||
| Allowlist.cmake | ||
| BLAS_ABI.cmake | ||
| BuildVariables.cmake | ||
| Caffe2Config.cmake.in | ||
| cmake_uninstall.cmake.in | ||
| Codegen.cmake | ||
| DebugHelper.cmake | ||
| Dependencies.cmake | ||
| FlatBuffers.cmake | ||
| IncludeSource.cpp.in | ||
| iOS.cmake | ||
| Metal.cmake | ||
| MiscCheck.cmake | ||
| prioritized_text.txt | ||
| ProtoBuf.cmake | ||
| ProtoBufPatch.cmake | ||
| Summary.cmake | ||
| TorchConfig.cmake.in | ||
| TorchConfigVersion.cmake.in | ||
| VulkanCodegen.cmake | ||
| VulkanDependencies.cmake | ||