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7e65060410
Adds x86-simd-sort as a submodule to accelerate sorting for 32-bit and 64-bit datatypes when AVX2 or AVX512 are available. For contiguous data, this can be over a 10x speedup for large arrays. For discontiguous data, it can give over a 4x speedup with larger arrays. These benchmarks were gathered on a Skylake system (7900x), limited to 8 threads. <details> <summary><b>Contiguous Benchmarks</b></summary> ``` float32, normally distributed (in microseconds) size Default AVX2 AVX512 Default/AVX2 Default/AVX512 16 7.150844336 6.886271477 7.132277489 1.038420335 1.002603214 128 9.208030939 8.478154898 7.846915245 1.086089019 1.173458697 1024 37.79037627 23.60707456 16.44122627 1.600807257 2.298513241 10000 714.7355628 203.9921844 105.5683001 3.503739934 6.770361577 100000 8383.074408 721.6333354 465.3709247 11.61680593 18.01374766 1000000 97124.31945 5632.054572 3920.148401 17.24491803 24.77567416 10000000 1161974.907 86070.48988 71533.82301 13.50027063 16.24371323 int32_t, uniformly distributed (in microseconds) size Default AVX2 AVX512 Default/AVX2 Default/AVX512 16 7.203208685 6.92212224 7.014458179 1.040606975 1.026908779 128 8.972388983 8.195516348 7.592543125 1.094792396 1.18173698 1024 32.77489477 23.6874548 15.36617105 1.383639359 2.132925285 10000 607.8824128 193.3402024 99.25090471 3.144107667 6.124703997 100000 523.9384684 608.1836536 442.3166784 0.861480682 1.184532472 1000000 5211.348627 5271.598405 3518.861883 0.988570871 1.480975611 10000000 133853.6263 81463.05084 67852.97394 1.643120714 1.972700952 ``` </details> Note that the int32_t sort is accelerated by FBGEMM's radix sort for larger arrays, but this only handles contiguous data and in one sorting direction. <details> <summary><b>Discontiguous Benchmarks</b></summary> ``` float, normal distributed, discontiguous in sorted dimension (in microseconds) size Default AVX2 AVX512 Default/AVX2 Default/AVX512 16 3.836543679 4.011214256 3.84376061 0.956454439 0.99812243 128 5.755310194 5.755723127 4.820394962 0.999928257 1.193949923 1024 49.46946019 24.78790785 15.47874362 1.995709379 3.195960952 10000 665.2505291 236.6165959 143.9490662 2.811512551 4.621429974 100000 4328.002203 1329.001212 818.3516414 3.256582586 5.288682743 1000000 47651.5018 16693.72045 11827.39551 2.854456677 4.028909133 10000000 556655.1288 236252.6258 184215.9828 2.356185998 3.021752621 int32_t, uniformly distributed, discontiguous in sorted dimension (in microseconds) size Default AVX2 AVX512 Default/AVX2 Default/AVX512 16 3.817994356 3.878117442 3.770039797 0.984496837 1.012719908 128 5.578731397 5.577152082 4.716770534 1.000283176 1.182743862 1024 43.3412619 23.61275801 14.55446819 1.835501887 2.977866408 10000 634.3997478 224.4322851 133.9518324 2.826686667 4.736028889 100000 4084.358152 1292.363303 781.7867576 3.16037924 5.22438902 1000000 46262.20465 16608.35284 11367.51817 2.785478192 4.06968381 10000000 541231.9104 235185.1861 180249.9294 2.301301028 3.002674742 ``` </details> Pull Request resolved: https://github.com/pytorch/pytorch/pull/127936 Approved by: https://github.com/jgong5, https://github.com/peterbell10, https://github.com/sanchitintel
137 lines
4.7 KiB
Plaintext
137 lines
4.7 KiB
Plaintext
[submodule "third_party/pybind11"]
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ignore = dirty
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path = third_party/pybind11
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url = https://github.com/pybind/pybind11.git
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[submodule "third_party/eigen"]
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ignore = dirty
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path = third_party/eigen
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url = https://gitlab.com/libeigen/eigen.git
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[submodule "third_party/googletest"]
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ignore = dirty
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path = third_party/googletest
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url = https://github.com/google/googletest.git
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[submodule "third_party/benchmark"]
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ignore = dirty
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path = third_party/benchmark
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url = https://github.com/google/benchmark.git
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[submodule "third_party/protobuf"]
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ignore = dirty
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path = third_party/protobuf
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url = https://github.com/protocolbuffers/protobuf.git
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[submodule "third_party/NNPACK"]
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ignore = dirty
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path = third_party/NNPACK
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url = https://github.com/Maratyszcza/NNPACK.git
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[submodule "third_party/gloo"]
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ignore = dirty
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path = third_party/gloo
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url = https://github.com/facebookincubator/gloo
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[submodule "third_party/NNPACK_deps/pthreadpool"]
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ignore = dirty
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path = third_party/pthreadpool
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url = https://github.com/Maratyszcza/pthreadpool.git
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[submodule "third_party/NNPACK_deps/FXdiv"]
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ignore = dirty
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path = third_party/FXdiv
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url = https://github.com/Maratyszcza/FXdiv.git
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[submodule "third_party/NNPACK_deps/FP16"]
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ignore = dirty
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path = third_party/FP16
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url = https://github.com/Maratyszcza/FP16.git
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[submodule "third_party/NNPACK_deps/psimd"]
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ignore = dirty
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path = third_party/psimd
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url = https://github.com/Maratyszcza/psimd.git
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[submodule "third_party/cpuinfo"]
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ignore = dirty
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path = third_party/cpuinfo
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url = https://github.com/pytorch/cpuinfo.git
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[submodule "third_party/python-peachpy"]
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ignore = dirty
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path = third_party/python-peachpy
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url = https://github.com/malfet/PeachPy.git
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[submodule "third_party/onnx"]
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ignore = dirty
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path = third_party/onnx
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url = https://github.com/onnx/onnx.git
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[submodule "third_party/sleef"]
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ignore = dirty
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path = third_party/sleef
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url = https://github.com/shibatch/sleef
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[submodule "third_party/ideep"]
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ignore = dirty
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path = third_party/ideep
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url = https://github.com/intel/ideep
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[submodule "third_party/nccl/nccl"]
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ignore = dirty
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path = third_party/nccl/nccl
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url = https://github.com/NVIDIA/nccl
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[submodule "third_party/gemmlowp/gemmlowp"]
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ignore = dirty
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path = third_party/gemmlowp/gemmlowp
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url = https://github.com/google/gemmlowp.git
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[submodule "third_party/fbgemm"]
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ignore = dirty
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path = third_party/fbgemm
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url = https://github.com/pytorch/fbgemm
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[submodule "android/libs/fbjni"]
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ignore = dirty
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path = android/libs/fbjni
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url = https://github.com/facebookincubator/fbjni.git
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[submodule "third_party/XNNPACK"]
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ignore = dirty
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path = third_party/XNNPACK
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url = https://github.com/google/XNNPACK.git
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[submodule "third_party/fmt"]
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ignore = dirty
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path = third_party/fmt
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url = https://github.com/fmtlib/fmt.git
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[submodule "third_party/tensorpipe"]
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ignore = dirty
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path = third_party/tensorpipe
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url = https://github.com/pytorch/tensorpipe.git
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[submodule "third_party/cudnn_frontend"]
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path = third_party/cudnn_frontend
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url = https://github.com/NVIDIA/cudnn-frontend.git
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[submodule "third_party/kineto"]
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path = third_party/kineto
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url = https://github.com/pytorch/kineto
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[submodule "third_party/pocketfft"]
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path = third_party/pocketfft
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url = https://github.com/mreineck/pocketfft
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[submodule "third_party/ittapi"]
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path = third_party/ittapi
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url = https://github.com/intel/ittapi.git
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[submodule "third_party/flatbuffers"]
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path = third_party/flatbuffers
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url = https://github.com/google/flatbuffers.git
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[submodule "third_party/nlohmann"]
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path = third_party/nlohmann
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url = https://github.com/nlohmann/json.git
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[submodule "third_party/VulkanMemoryAllocator"]
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path = third_party/VulkanMemoryAllocator
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url = https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git
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[submodule "third_party/cutlass"]
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path = third_party/cutlass
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url = https://github.com/NVIDIA/cutlass.git
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[submodule "third_party/mimalloc"]
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path = third_party/mimalloc
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url = https://github.com/microsoft/mimalloc.git
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[submodule "third_party/opentelemetry-cpp"]
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path = third_party/opentelemetry-cpp
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url = https://github.com/open-telemetry/opentelemetry-cpp.git
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[submodule "third_party/cpp-httplib"]
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path = third_party/cpp-httplib
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url = https://github.com/yhirose/cpp-httplib.git
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branch = v0.15.3
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[submodule "third_party/NVTX"]
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path = third_party/NVTX
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url = https://github.com/NVIDIA/NVTX.git
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[submodule "third_party/composable_kernel"]
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path = third_party/composable_kernel
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url = https://github.com/ROCm/composable_kernel.git
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branch = develop
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[submodule "third_party/x86-simd-sort"]
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path = third_party/x86-simd-sort
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url = https://github.com/intel/x86-simd-sort.git
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