pax_global_header00006660000000000000000000000064150473076010014515gustar00rootroot0000000000000052 comment=ac0d5d297b13ab1b89f48484fc7911082d76a93f highway-1.3.0/000077500000000000000000000000001504730760100131565ustar00rootroot00000000000000highway-1.3.0/.bazelrc000066400000000000000000000000271504730760100146000ustar00rootroot00000000000000common --enable_bzlmod highway-1.3.0/.bcr/000077500000000000000000000000001504730760100140025ustar00rootroot00000000000000highway-1.3.0/.bcr/metadata.template.json000066400000000000000000000007751504730760100203000ustar00rootroot00000000000000{ "homepage": "https://github.com/google/highway", "maintainers": [ { "email": "janwas@google.com", "github": "jan-wassenberg", "name": "Jan Wassenberg" }, { "email": "eustas@google.com", "github": "eustas", "name": "Eugene Kliuchnikov" }, { "email": "rhettstucki@google.com", "github": "rhettstucki", "name": "Rhett Stucki" } ], "repository": [ "github:google/highway" ], "versions": [], "yanked_versions": {} } highway-1.3.0/.bcr/presubmit.yml000066400000000000000000000003651504730760100165430ustar00rootroot00000000000000bcr_test_module: module_path: "bzlmod" matrix: platform: ["debian10", "macos", "ubuntu2004", "windows"] tasks: run_tests: name: "Run test module" platform: ${{ platform }} test_targets: - ":hwy_ops_tests" highway-1.3.0/.bcr/source.template.json000066400000000000000000000002111504730760100200010ustar00rootroot00000000000000{ "integrity": "", "strip_prefix": "{REPO}-{VERSION}", "url": "https://github.com/{OWNER}/{REPO}/archive/refs/tags/{TAG}.tar.gz" } highway-1.3.0/.clang-format000066400000000000000000000000251504730760100155260ustar00rootroot00000000000000BasedOnStyle: Google highway-1.3.0/.github/000077500000000000000000000000001504730760100145165ustar00rootroot00000000000000highway-1.3.0/.github/dependabot.yml000066400000000000000000000001601504730760100173430ustar00rootroot00000000000000version: 2 updates: - package-ecosystem: github-actions directory: "/" schedule: interval: dailyhighway-1.3.0/.github/workflows/000077500000000000000000000000001504730760100165535ustar00rootroot00000000000000highway-1.3.0/.github/workflows/build_test.yml000066400000000000000000000205661504730760100214450ustar00rootroot00000000000000# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. permissions: read-all name: Build / test on: [push, pull_request] concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: cmake: name: Build and test ${{ matrix.name }} runs-on: ubuntu-22.04 strategy: matrix: include: - name: Clang-11 extra_deps: clang-11 c_compiler: clang-11 cxx_compiler: clang++-11 cxx_standard: 11 - name: Clang-12 extra_deps: clang-12 c_compiler: clang-12 cxx_compiler: clang++-12 cxx_standard: 11 - name: Clang-13 extra_deps: clang-13 c_compiler: clang-13 cxx_compiler: clang++-13 cxx_standard: 11 - name: Clang-14 extra_deps: clang-14 c_compiler: clang-14 cxx_compiler: clang++-14 cxx_standard: 11 - name: Clang-15 extra_deps: clang-15 c_compiler: clang-15 cxx_compiler: clang++-15 cxx_standard: 11 - name: Clang-15 (C++20) extra_deps: clang-15 c_compiler: clang-15 cxx_compiler: clang++-15 cxx_standard: 20 - name: Clang-15 (x86_32) extra_deps: clang-15 g++-i686-linux-gnu c_compiler: clang-15 cxx_compiler: clang++-15 # Disable AVX3 targets on x86_32 cxx_flags: -m32 -DHWY_DISABLED_TARGETS=0x1FF -DHWY_BROKEN_TARGETS=0x1FF extra_cmake_flags: -DCMAKE_C_COMPILER_TARGET=i686-linux-gnu -DCMAKE_CXX_COMPILER_TARGET=i686-linux-gnu -DHWY_CMAKE_SSE2=ON cxx_standard: 17 - name: GCC-9 extra_deps: g++-9 c_compiler: gcc-9 cxx_compiler: g++-9 cxx_flags: -ftrapv cxx_standard: 11 - name: GCC-10 extra_deps: g++-10 c_compiler: gcc-10 cxx_compiler: g++-10 cxx_flags: -ftrapv cxx_standard: 11 - name: GCC-11 extra_deps: g++-11 c_compiler: gcc-11 cxx_compiler: g++-11 cxx_flags: -ftrapv cxx_standard: 11 - name: GCC-11 (C++20) extra_deps: g++-11 c_compiler: gcc-11 cxx_compiler: g++-11 cxx_flags: -ftrapv cxx_standard: 20 - name: GCC-12 extra_deps: g++-12 c_compiler: gcc-12 cxx_compiler: g++-12 cxx_flags: -ftrapv cxx_standard: 11 - name: GCC-12 (C++20) extra_deps: g++-12 c_compiler: gcc-12 cxx_compiler: g++-12 cxx_flags: -ftrapv cxx_standard: 20 - name: GCC-12 (x86_32) extra_deps: g++-12-i686-linux-gnu c_compiler: i686-linux-gnu-gcc-12 cxx_compiler: i686-linux-gnu-g++-12 # Disable AVX3 targets on x86_32 cxx_flags: -m32 -ftrapv -DHWY_DISABLED_TARGETS=0x1FF -DHWY_BROKEN_TARGETS=0x1FF extra_cmake_flags: -DCMAKE_C_COMPILER_TARGET=i686-linux-gnu -DCMAKE_CXX_COMPILER_TARGET=i686-linux-gnu -DHWY_CMAKE_SSE2=ON cxx_standard: 17 steps: - name: Harden Runner uses: step-security/harden-runner@ec9f2d5744a09debf3a187a3f4f675c53b671911 # v2.13.0 with: egress-policy: audit # cannot be block - runner does git checkout - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v4.0.0 - name: Install deps run: sudo apt-get install ${{ matrix.extra_deps }} - name: Build and test run: | export CMAKE_BUILD_PARALLEL_LEVEL=2 export CTEST_PARALLEL_LEVEL=2 CXXFLAGS="${{ matrix.cxx_flags }}" CC=${{ matrix.c_compiler }} CXX=${{ matrix.cxx_compiler }} cmake -DHWY_WARNINGS_ARE_ERRORS=ON -DCMAKE_CXX_STANDARD=${{ matrix.cxx_standard }} ${{ matrix.extra_cmake_flags }} -B out . cmake --build out ctest --test-dir out cmake_ubuntu_2404: name: Build and test ${{ matrix.name }} runs-on: ubuntu-24.04 strategy: matrix: include: - name: Clang-16 extra_deps: clang-16 c_compiler: clang-16 cxx_compiler: clang++-16 # Disable AVX3_SPR/AVX3_ZEN4 targets in GitHub workflow build with # Clang 16 or later to work around crashes that occur with Clang 16 # or later when some of the Google Highway tests are compiled with # all x86 targets enabled cxx_flags: -DHWY_DISABLED_TARGETS=0x58 cxx_standard: 17 - name: Clang-17 extra_deps: clang-17 c_compiler: clang-17 cxx_compiler: clang++-17 # Disable AVX3_SPR/AVX3_ZEN4 targets in GitHub workflow build with # Clang 16 or later to work around crashes that occur with Clang 16 # or later when some of the Google Highway tests are compiled with # all x86 targets enabled cxx_flags: -DHWY_DISABLED_TARGETS=0x58 cxx_standard: 17 - name: Clang-18 extra_deps: clang-18 c_compiler: clang-18 cxx_compiler: clang++-18 # Disable AVX3_SPR/AVX3_ZEN4 targets in GitHub workflow build with # Clang 16 or later to work around crashes that occur with Clang 16 # or later when some of the Google Highway tests are compiled with # all x86 targets enabled cxx_flags: -DHWY_DISABLED_TARGETS=0x58 cxx_standard: 17 - name: Clang-18 (C++23) extra_deps: clang-18 c_compiler: clang-18 cxx_compiler: clang++-18 # Disable AVX3_SPR/AVX3_ZEN4 targets in GitHub workflow build with # Clang 16 or later to work around crashes that occur with Clang 16 # or later when some of the Google Highway tests are compiled with # all x86 targets enabled cxx_flags: -DHWY_DISABLED_TARGETS=0x58 cxx_standard: 23 - name: GCC-13 extra_deps: g++-13 c_compiler: gcc-13 cxx_compiler: g++-13 cxx_flags: -ftrapv cxx_standard: 17 - name: GCC-13 (C++23) extra_deps: g++-13 c_compiler: gcc-13 cxx_compiler: g++-13 cxx_flags: -ftrapv cxx_standard: 23 steps: - name: Harden Runner uses: step-security/harden-runner@ec9f2d5744a09debf3a187a3f4f675c53b671911 # v2.13.0 with: egress-policy: audit # cannot be block - runner does git checkout - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v4.0.0 - name: Install deps run: sudo apt-get install ${{ matrix.extra_deps }} - name: Build and test run: | export CMAKE_BUILD_PARALLEL_LEVEL=2 export CTEST_PARALLEL_LEVEL=2 CXXFLAGS="${{ matrix.cxx_flags }}" CC=${{ matrix.c_compiler }} CXX=${{ matrix.cxx_compiler }} cmake -DHWY_WARNINGS_ARE_ERRORS=ON -DCMAKE_CXX_STANDARD=${{ matrix.cxx_standard }} ${{ matrix.extra_cmake_flags }} -B out . cmake --build out ctest --test-dir out bazel: runs-on: ubuntu-latest steps: - name: Harden Runner uses: step-security/harden-runner@ec9f2d5744a09debf3a187a3f4f675c53b671911 # v2.13.0 with: egress-policy: audit # cannot be block - runner does git checkout - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v4.0.0 - uses: bazelbuild/setup-bazelisk@b39c379c82683a5f25d34f0d062761f62693e0b2 # v3.0.0 - uses: actions/cache@0400d5f644dc74513175e3cd8d07132dd4860809 # v4.2.4 with: path: ~/.cache/bazel key: bazel-${{ runner.os }} - run: bazel build //... highway-1.3.0/.github/workflows/docs_pages_workflow.yml000066400000000000000000000013351504730760100233410ustar00rootroot00000000000000name: docs_pages_workflow # execute this workflow automatically when a we push to master on: push: permissions: contents: write pages: write jobs: build_docs_job: runs-on: ubuntu-latest container: debian:bookworm-slim steps: - name: Prereqs env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} run: | apt-get update apt-get install -y git git clone "https://token:${GITHUB_TOKEN}@github.com/${GITHUB_REPOSITORY}.git" . shell: bash - name: Execute script to build our documentation and update pages env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} run: "cp -r g3doc docs && cp README.md docs/g3doc && docs/buildDocs.sh" shell: bash highway-1.3.0/.github/workflows/multiarch.yml000066400000000000000000000111411504730760100212640ustar00rootroot00000000000000# https://github.com/marketplace/actions/run-on-architecture name: Foreign architectures on: [push, pull_request] concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true permissions: contents: read jobs: multiarch: runs-on: ubuntu-22.04 strategy: fail-fast: true matrix: include: - arch: armv7 distro: ubuntu_latest cxx_flags: -Wno-psabi cmake_flags: -DHWY_CMAKE_ARM7:BOOL=ON - arch: ppc64le distro: ubuntu_latest steps: - name: Checkout code uses: actions/checkout@v5 - name: Build and test uses: uraimo/run-on-arch-action@v3.0.1 id: build with: arch: ${{ matrix.arch }} distro: ${{ matrix.distro }} # Not required, but speeds up builds githubToken: ${{ github.token }} install: | apt-get update -q -y apt-get install -q -y --no-install-recommends \ build-essential \ cmake \ libgtest-dev \ ninja-build \ ; run: | export CMAKE_BUILD_PARALLEL_LEVEL=2 export CTEST_PARALLEL_LEVEL=2 CXXFLAGS=${{ matrix.cxx_flags }} cmake -GNinja ${{ matrix.cmake_flags }} -DHWY_SYSTEM_GTEST=ON -DHWY_WARNINGS_ARE_ERRORS=ON -B out . cmake --build out ctest --test-dir out aarch64_cmake: name: Build and test ${{ matrix.name }} on AArch64 runs-on: ubuntu-24.04-arm strategy: matrix: include: - name: Clang-18 extra_deps: clang-18 c_compiler: clang-18 cxx_compiler: clang++-18 cxx_standard: 17 - name: GCC-14 extra_deps: g++-14 c_compiler: gcc-14 cxx_compiler: g++-14 cxx_flags: -ftrapv cxx_standard: 17 steps: - name: Harden Runner uses: step-security/harden-runner@ec9f2d5744a09debf3a187a3f4f675c53b671911 # v2.13.0 with: egress-policy: audit # cannot be block - runner does git checkout - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v4.0.0 - name: Install deps run: sudo apt-get install ${{ matrix.extra_deps }} - name: Build and test run: | export CMAKE_BUILD_PARALLEL_LEVEL=2 export CTEST_PARALLEL_LEVEL=2 CXXFLAGS="${{ matrix.cxx_flags }}" CC=${{ matrix.c_compiler }} CXX=${{ matrix.cxx_compiler }} cmake -DHWY_WARNINGS_ARE_ERRORS=ON -DCMAKE_CXX_STANDARD=${{ matrix.cxx_standard }} ${{ matrix.extra_cmake_flags }} -B out . cmake --build out ctest --test-dir out loongarch64_cmake: name: Build and test ${{ matrix.name }} on LoongArch64 runs-on: ubuntu-24.04 strategy: matrix: include: - name: GCC-14 extra_deps: qemu-loongarch64 c_compiler: loongarch64-unknown-linux-gnu-gcc cxx_compiler: loongarch64-unknown-linux-gnu-g++ cxx_standard: 17 steps: - name: get cross-tools evn run: | wget https://github.com/loongson/build-tools/releases/download/2025.02.21/x86_64-cross-tools-loongarch64-binutils_2.44-gcc_14.2.0-glibc_2.41.tar.xz sudo tar -xvf x86_64-cross-tools-loongarch64-binutils_2.44-gcc_14.2.0-glibc_2.41.tar.xz -C /opt - name: Harden Runner uses: step-security/harden-runner@ec9f2d5744a09debf3a187a3f4f675c53b671911 # v2.13.0 with: egress-policy: audit # cannot be block - runner does git checkout - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v4.0.0 - name: Install deps run: | wget https://github.com/loongson/build-tools/releases/download/2025.02.21/${{ matrix.extra_deps }} chmod +x ${{ matrix.extra_deps }} sudo mv ${{ matrix.extra_deps }} /opt/cross-tools/bin - name: Build and test run: | export CMAKE_BUILD_PARALLEL_LEVEL=2 export CTEST_PARALLEL_LEVEL=2 export PATH="/opt/cross-tools/bin:$PATH" export LD_LIBRARY_PATH="/opt/cross-tools/loongarch64-unknown-linux-gnu/lib:$LD_LIBRARY_PATH" export CC=${{ matrix.c_compiler }} CXX=${{ matrix.cxx_compiler }} cmake -DCMAKE_C_COMPILER_TARGET="loongarch64-unknown-linux-gnu" -DCMAKE_CXX_COMPILER_TARGET="loongarch64-unknown-linux-gnu" -DCMAKE_CROSSCOMPILING=true -DCMAKE_CROSSCOMPILING_EMULATOR="qemu-loongarch64;-cpu;max;-L;/opt/cross-tools/target" -DCMAKE_SYSTEM_NAME=Linux -DCMAKE_SYSTEM_PROCESSOR=loongarch64 -B out . cmake --build out ctest --test-dir out highway-1.3.0/.gitignore000066400000000000000000000001671504730760100151520ustar00rootroot00000000000000build bazel-bin bazel-highway bazel-out bazel-testlogs MODULE.bazel.lock docs/g3doc/* docs/html/* docs/md/* docs/rst/* highway-1.3.0/BUILD000066400000000000000000000436751504730760100137570ustar00rootroot00000000000000# Placeholder#1 for Guitar, do not remove # Placeholder for cc_test, do not remove load("@bazel_skylib//lib:selects.bzl", "selects") load("@rules_license//rules:license.bzl", "license") # Placeholder#2 for Guitar, do not remove package( default_applicable_licenses = ["//:license"], default_visibility = ["//visibility:public"], ) license( name = "license", package_name = "highway", license_kinds = ["@rules_license//licenses/generic:notice"], ) # Dual-licensed Apache 2 and 3-clause BSD. licenses(["notice"]) exports_files(["LICENSE"]) # Detect compiler: config_setting( name = "compiler_clang", flag_values = {"@bazel_tools//tools/cpp:compiler": "clang"}, ) config_setting( name = "compiler_clangcl", flag_values = {"@bazel_tools//tools/cpp:compiler": "lexan"}, ) config_setting( name = "compiler_msvc", flag_values = {"@bazel_tools//tools/cpp:compiler": "msvc-cl"}, ) config_setting( name = "compiler_emscripten", constraint_values = [ "@platforms//cpu:wasm32", ], ) # See https://github.com/bazelbuild/bazel/issues/12707 config_setting( name = "compiler_gcc_bug", flag_values = { "@bazel_tools//tools/cpp:compiler": "compiler", }, ) config_setting( name = "compiler_gcc_actual", flag_values = { "@bazel_tools//tools/cpp:compiler": "gcc", }, ) selects.config_setting_group( name = "compiler_gcc", match_any = [ ":compiler_gcc_bug", ":compiler_gcc_actual", ], ) # Additional warnings for Clang OR GCC (skip for MSVC) CLANG_GCC_COPTS = [ "-Wunused", "-Wextra-semi", "-Wunreachable-code", "-Wshadow", "-Wmissing-declarations", ] # Warnings supported by Clang and Clang-cl CLANG_OR_CLANGCL_OPTS = CLANG_GCC_COPTS + [ "-Wfloat-overflow-conversion", "-Wfloat-zero-conversion", "-Wfor-loop-analysis", "-Wgnu-redeclared-enum", "-Winfinite-recursion", "-Wliteral-conversion", "-Wno-c++98-compat", "-Wno-unused-command-line-argument", "-Wprivate-header", "-Wself-assign", "-Wstring-conversion", "-Wtautological-overlap-compare", "-Wthread-safety-analysis", "-Wundefined-func-template", "-Wunreachable-code-aggressive", "-Wunused-comparison", ] # Warnings only supported by Clang, but not Clang-cl CLANG_ONLY_COPTS = CLANG_OR_CLANGCL_OPTS + [ # Do not treat the third_party headers as system headers when building # highway - the errors are pertinent. "--no-system-header-prefix=third_party/highway", ] COPTS = select({ ":compiler_msvc": [], ":compiler_gcc": CLANG_GCC_COPTS, ":compiler_clangcl": CLANG_OR_CLANGCL_OPTS, # Default to clang because compiler detection only works in Bazel "//conditions:default": CLANG_ONLY_COPTS, }) + select({ "@platforms//cpu:riscv64": [ "-march=rv64gcv1p0", "-menable-experimental-extensions", ], "//conditions:default": [ ], }) DEFINES = select({ ":compiler_msvc": ["HWY_SHARED_DEFINE"], ":compiler_clangcl": ["HWY_SHARED_DEFINE"], "//conditions:default": [], }) # Unused on Bazel builds, where this is not defined/known; Copybara replaces # usages with an empty list. COMPAT = [ "//buildenv/target:non_prod", # includes mobile/vendor. ] # WARNING: changing flags such as HWY_DISABLED_TARGETS may break users without # failing integration tests, if the machine running tests does not support the # newly enabled instruction set, or the failure is only caught by sanitizers # which do not run in CI. # NOTE: when adding a new dependency on the Highway library, please add your # test to the highway.users list in highway.blueprint. cc_library( name = "hwy", srcs = [ "hwy/abort.cc", "hwy/aligned_allocator.cc", "hwy/per_target.cc", "hwy/print.cc", "hwy/targets.cc", ], # Normal headers with include guards hdrs = [ "hwy/abort.h", "hwy/aligned_allocator.h", "hwy/base.h", "hwy/cache_control.h", "hwy/detect_compiler_arch.h", # private "hwy/print.h", "hwy/x86_cpuid.h", ], compatible_with = [], copts = COPTS, defines = DEFINES, local_defines = ["hwy_EXPORTS"], textual_hdrs = [ # These are textual because config macros influence them: "hwy/detect_targets.h", # private "hwy/targets.h", # This .cc file #includes itself through foreach_target.h "hwy/per_target.cc", # End of list "hwy/highway.h", # public "hwy/foreach_target.h", # public "hwy/per_target.h", # public "hwy/print-inl.h", # public "hwy/highway_export.h", # public "hwy/ops/arm_neon-inl.h", "hwy/ops/arm_sve-inl.h", "hwy/ops/emu128-inl.h", "hwy/ops/generic_ops-inl.h", "hwy/ops/inside-inl.h", "hwy/ops/scalar-inl.h", "hwy/ops/set_macros-inl.h", "hwy/ops/shared-inl.h", "hwy/ops/x86_128-inl.h", "hwy/ops/x86_256-inl.h", "hwy/ops/x86_512-inl.h", "hwy/ops/x86_avx3-inl.h", # Select avoids recompiling native arch if only non-native changed ] + select({ ":compiler_emscripten": [ "hwy/ops/wasm_128-inl.h", "hwy/ops/wasm_256-inl.h", ], "//conditions:default": [], }) + select({ "@platforms//cpu:riscv64": ["hwy/ops/rvv-inl.h"], "//conditions:default": [], }), ) cc_library( name = "stats", srcs = ["hwy/stats.cc"], hdrs = ["hwy/stats.h"], compatible_with = [], copts = COPTS, deps = [":hwy"], ) cc_library( name = "robust_statistics", hdrs = ["hwy/robust_statistics.h"], compatible_with = [], copts = COPTS, deps = [":hwy"], ) cc_library( name = "timer", srcs = ["hwy/timer.cc"], hdrs = ["hwy/timer.h"], compatible_with = [], copts = COPTS, # Deprecated. textual_hdrs = [ "hwy/timer-inl.h", ], deps = [ ":hwy", ":robust_statistics", ], ) # Previously provided timer.*, use :timer instead. cc_library( name = "nanobenchmark", srcs = ["hwy/nanobenchmark.cc"], hdrs = [ "hwy/nanobenchmark.h", # TODO(janwas): remove after users depend on :timer. "hwy/timer.h", ], compatible_with = [], copts = COPTS, local_defines = ["hwy_EXPORTS"], deps = [ ":hwy", ":robust_statistics", ":timer", ], ) cc_library( name = "bit_set", hdrs = ["hwy/bit_set.h"], compatible_with = [], copts = COPTS, deps = [ ":hwy", # HWY_DASSERT ], ) cc_library( name = "auto_tune", hdrs = ["hwy/auto_tune.h"], compatible_with = [], copts = COPTS, deps = [ ":hwy", "//hwy/contrib/sort:vqsort", ], ) cc_library( name = "perf_counters", srcs = ["hwy/perf_counters.cc"], hdrs = ["hwy/perf_counters.h"], compatible_with = [], copts = COPTS, deps = [ ":bit_set", ":hwy", ":timer", ], ) cc_library( name = "profiler", srcs = ["hwy/profiler.cc"], hdrs = ["hwy/profiler.h"], compatible_with = [], copts = COPTS, deps = [ ":bit_set", ":hwy", ":robust_statistics", ":timer", ], ) cc_binary( name = "profiler_example", srcs = ["hwy/examples/profiler_example.cc"], copts = COPTS, deps = [ ":hwy", ":profiler", ":thread_pool", ":timer", ], ) cc_library( name = "algo", compatible_with = [], copts = COPTS, textual_hdrs = [ "hwy/contrib/algo/copy-inl.h", "hwy/contrib/algo/find-inl.h", "hwy/contrib/algo/transform-inl.h", ], deps = [ ":hwy", ], ) cc_library( name = "bit_pack", compatible_with = [], copts = COPTS, textual_hdrs = [ "hwy/contrib/bit_pack/bit_pack-inl.h", ], deps = [ ":hwy", ], ) cc_library( name = "dot", compatible_with = [], copts = COPTS, textual_hdrs = [ "hwy/contrib/dot/dot-inl.h", ], deps = [ ":hwy", ], ) cc_library( name = "topology", srcs = ["hwy/contrib/thread_pool/topology.cc"], hdrs = ["hwy/contrib/thread_pool/topology.h"], compatible_with = [], copts = COPTS, deps = [ ":bit_set", ":hwy", ], ) cc_library( name = "thread_pool", hdrs = [ "hwy/contrib/thread_pool/futex.h", "hwy/contrib/thread_pool/spin.h", "hwy/contrib/thread_pool/thread_pool.h", ], compatible_with = [], copts = COPTS, deps = [ ":auto_tune", ":bit_set", ":hwy", ":profiler", ":stats", ":timer", ":topology", ], ) cc_library( name = "matvec", compatible_with = [], copts = COPTS, textual_hdrs = [ "hwy/contrib/matvec/matvec-inl.h", ], deps = [ ":hwy", ":thread_pool", ], ) cc_library( name = "image", srcs = [ "hwy/contrib/image/image.cc", ], hdrs = [ "hwy/contrib/image/image.h", ], compatible_with = [], copts = COPTS, local_defines = ["hwy_contrib_EXPORTS"], deps = [ ":hwy", ], ) cc_library( name = "math", compatible_with = [], copts = COPTS, textual_hdrs = [ "hwy/contrib/math/math-inl.h", ], deps = [ ":hwy", ], ) cc_library( name = "random", compatible_with = [], copts = COPTS, textual_hdrs = [ "hwy/contrib/random/random-inl.h", ], deps = [ ":hwy", ], ) cc_library( name = "unroller", compatible_with = [], copts = COPTS, textual_hdrs = [ "hwy/contrib/unroller/unroller-inl.h", ], deps = [ ":hwy", ], ) # Everything required for tests that use Highway. cc_library( name = "hwy_test_util", srcs = ["hwy/tests/test_util.cc"], hdrs = ["hwy/tests/test_util.h"], compatible_with = [], copts = COPTS, local_defines = ["hwy_test_EXPORTS"], textual_hdrs = [ "hwy/tests/test_util-inl.h", "hwy/tests/hwy_gtest.h", ], # Must not depend on a gtest variant, which can conflict with the # GUNIT_INTERNAL_BUILD_MODE defined by the test. deps = [ ":hwy", ":nanobenchmark", ], ) cc_binary( name = "benchmark", srcs = ["hwy/examples/benchmark.cc"], copts = COPTS, deps = [ ":hwy", ":nanobenchmark", ], ) cc_library( name = "skeleton", srcs = ["hwy/examples/skeleton.cc"], hdrs = ["hwy/examples/skeleton.h"], copts = COPTS, local_defines = ["hwy_EXPORTS"], textual_hdrs = ["hwy/examples/skeleton-inl.h"], deps = [ ":hwy", ], ) cc_library( name = "abort_header_only", hdrs = [ "hwy/abort.h", "hwy/base.h", "hwy/detect_compiler_arch.h", # private "hwy/highway_export.h", # public ], compatible_with = [], copts = COPTS, local_defines = ["HWY_HEADER_ONLY"], ) cc_test( name = "list_targets", size = "small", srcs = ["hwy/tests/list_targets.cc"], deps = [":hwy"], ) cc_test( name = "abort_header_only_test", size = "small", srcs = ["hwy/abort_header_only_test.cc"], deps = [ ":abort_header_only", ":hwy_test_util", "@com_google_googletest//:gtest_main", ], ) # path, name, deps HWY_CONTRIB_TESTS = ( ( "hwy/contrib/algo/", "copy_test", (":algo",), ), ( "hwy/contrib/algo/", "find_test", (":algo",), ), ( "hwy/contrib/algo/", "transform_test", (":algo",), ), ( "hwy/contrib/bit_pack/", "bit_pack_test", (":bit_pack",), ), ( "hwy/contrib/dot/", "dot_test", (":dot",), ), ( "hwy/contrib/image/", "image_test", (":image",), ), ( "hwy/contrib/math/", "math_test", (":math",), ), ( "hwy/contrib/random/", "random_test", (":random",), ), ( "hwy/contrib/matvec/", "matvec_test", (":matvec", ":algo", ":topology", ":thread_pool"), ), ( "hwy/contrib/thread_pool/", "spin_test", (":topology", ":thread_pool"), ), ( "hwy/contrib/thread_pool/", "thread_pool_test", (":topology", ":thread_pool", ":profiler"), ), ( "hwy/contrib/thread_pool/", "topology_test", (":thread_pool", ":topology"), ), ( "hwy/contrib/unroller/", "unroller_test", (":unroller",), ), # contrib/sort has its own BUILD, we also add sort_test to GUITAR_TESTS. # To run bench_sort, specify --test=hwy/contrib/sort:bench_sort. ) # path, name, deps HWY_TESTS = HWY_CONTRIB_TESTS + ( ( "hwy/examples/", "skeleton_test", (":skeleton",), ), ("hwy/", "abort_test", []), ("hwy/", "aligned_allocator_test", []), ( "hwy/", "auto_tune_test", (":auto_tune",), ), ("hwy/", "base_test", []), ( "hwy/", "bit_set_test", (":bit_set",), ), ("hwy/", "highway_test", []), ("hwy/", "nanobenchmark_test", []), ( "hwy/", "perf_counters_test", (":perf_counters", ":thread_pool"), ), ("hwy/", "targets_test", []), ("hwy/tests/", "arithmetic_test", []), ("hwy/tests/", "bit_permute_test", []), ("hwy/tests/", "blockwise_combine_test", []), ("hwy/tests/", "blockwise_shift_test", []), ("hwy/tests/", "blockwise_test", []), ("hwy/tests/", "cast_test", []), ("hwy/tests/", "combine_test", []), ("hwy/tests/", "compare_test", []), ("hwy/tests/", "compress_test", []), ("hwy/tests/", "complex_arithmetic_test", []), ("hwy/tests/", "concat_test", []), ("hwy/tests/", "convert_test", []), ("hwy/tests/", "count_test", []), ("hwy/tests/", "crypto_test", []), ("hwy/tests/", "demote_test", []), ("hwy/tests/", "div_test", []), ("hwy/tests/", "dup128_vec_test", []), ("hwy/tests/", "expand_test", []), ("hwy/tests/", "float_test", []), ("hwy/tests/", "fma_test", []), ("hwy/tests/", "foreach_vec_test", []), ("hwy/tests/", "if_test", []), ("hwy/tests/", "in_range_float_to_int_conv_test", []), ("hwy/tests/", "interleaved_test", []), ("hwy/tests/", "logical_test", []), ("hwy/tests/", "mask_combine_test", []), ("hwy/tests/", "mask_convert_test", []), ("hwy/tests/", "mask_mem_test", []), ("hwy/tests/", "mask_set_test", []), ("hwy/tests/", "mask_slide_test", []), ("hwy/tests/", "mask_test", []), ("hwy/tests/", "masked_arithmetic_test", []), ("hwy/tests/", "masked_minmax_test", []), ("hwy/tests/", "memory_test", []), ("hwy/tests/", "minmax_magnitude_test", []), ("hwy/tests/", "minmax_number_test", []), ("hwy/tests/", "minmax_test", []), ("hwy/tests/", "minmax128_test", []), ("hwy/tests/", "mul_by_pow2_test", []), ("hwy/tests/", "mul_pairwise_test", []), ("hwy/tests/", "mul_test", []), ("hwy/tests/", "reduction_test", []), ("hwy/tests/", "resize_test", []), ("hwy/tests/", "reverse_test", []), ("hwy/tests/", "rotate_test", []), ("hwy/tests/", "saturated_test", []), ("hwy/tests/", "shift_test", []), ("hwy/tests/", "shuffle4_test", []), ("hwy/tests/", "sign_test", []), ("hwy/tests/", "slide_up_down_test", []), ("hwy/tests/", "sums_abs_diff_test", []), ("hwy/tests/", "swizzle_block_test", []), ("hwy/tests/", "swizzle_test", []), ("hwy/tests/", "table_test", []), ("hwy/tests/", "test_util_test", []), ("hwy/tests/", "truncate_test", []), ("hwy/tests/", "tuple_test", []), ("hwy/tests/", "widen_mul_test", []), ) HWY_TEST_COPTS = select({ ":compiler_msvc": [], "//conditions:default": [ # gTest triggers this warning (which is enabled by the # extra-semi in COPTS), so we need to disable it here, # but it's still enabled for :hwy. "-Wno-c++98-compat-extra-semi", ], }) # Common to all tests. HWY_TEST_DEPS = [ ":hwy_test_util", ":hwy", ":nanobenchmark", ":timer", ] + select({ ":compiler_msvc": [], "//conditions:default": ["@com_google_googletest//:gtest_main"], }) [ [ cc_test( name = test, size = "medium", timeout = "long", # default moderate is not enough for math_test srcs = [ subdir + test + ".cc", ], copts = COPTS + HWY_TEST_COPTS, # Fixes OOM for matvec_test on RVV. exec_properties = select({ "@platforms//cpu:riscv64": {"mem": "16g"}, "//conditions:default": None, }), features = select({ "@platforms//cpu:riscv64": ["fully_static_link"], "//conditions:default": [], }), linkopts = select({ ":compiler_emscripten": [ "-s ASSERTIONS=2", "-s ENVIRONMENT=node,shell,web", "-s ERROR_ON_UNDEFINED_SYMBOLS=1", "-s EXIT_RUNTIME=1", "-s ALLOW_MEMORY_GROWTH=1", "--pre-js $(location :preamble.js.lds)", ], "//conditions:default": [], }), linkstatic = select({ "@platforms//cpu:riscv64": True, "//conditions:default": False, }), local_defines = ["HWY_IS_TEST"], # Placeholder for malloc, do not remove # for test_suite. tags = ["hwy_ops_test"], deps = HWY_TEST_DEPS + extra_deps + select({ ":compiler_emscripten": [":preamble.js.lds"], "//conditions:default": [], }), ), ] for subdir, test, extra_deps in HWY_TESTS ] # For manually building the tests we define here (:all does not work in --config=msvc) test_suite( name = "hwy_ops_tests", tags = ["hwy_ops_test"], ) # Placeholder for integration test, do not remove highway-1.3.0/CMakeLists.txt000066400000000000000000001001541504730760100157170ustar00rootroot00000000000000# Copyright 2019 Google LLC # Copyright 2024 Arm Limited and/or its affiliates # SPDX-License-Identifier: Apache-2.0 # SPDX-License-Identifier: BSD-3-Clause # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. cmake_minimum_required(VERSION 3.10) # Set PIE flags for POSITION_INDEPENDENT_CODE targets, added in 3.14. if(POLICY CMP0083) cmake_policy(SET CMP0083 NEW) endif() # Workaround for 3.19 raising error 'IMPORTED_LOCATION not set for imported # target "GTest::gtest_main"'. if(POLICY CMP0111) cmake_policy(SET CMP0111 OLD) endif() # Starting with GCC-13, we want to make sure to remove gnu extension (ie. # explicit -std=c++17 instead of implicit `gnu++17`) # Without this cmake property, CMAKE_CXX_EXTENSIONS=OFF was not properly # considered if(POLICY CMP0128) cmake_policy(SET CMP0128 NEW) endif() project(hwy VERSION 1.3.0) # Keep in sync with base.h version # `hwy` is lowercase to handle find_package() in Config mode: set(namespace "${PROJECT_NAME}::") # Directly define the ABI version from the cmake project() version values: set(LIBRARY_VERSION "${hwy_VERSION}") set(LIBRARY_SOVERSION ${hwy_VERSION_MAJOR}) set(CMAKE_CXX_EXTENSIONS OFF) list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake") # Search for Atomics implementation: find_package(Atomics REQUIRED) # Enabled PIE binaries by default if supported. include(CheckPIESupported OPTIONAL RESULT_VARIABLE CHECK_PIE_SUPPORTED) if(CHECK_PIE_SUPPORTED) check_pie_supported(LANGUAGES CXX) if(CMAKE_CXX_LINK_PIE_SUPPORTED) set(CMAKE_POSITION_INDEPENDENT_CODE TRUE) endif() endif() include(GNUInstallDirs) if (NOT CMAKE_BUILD_TYPE) set(CMAKE_BUILD_TYPE RelWithDebInfo) endif() # The following is only required with GCC < 6.1.0 or CLANG < 16.0 set(HWY_CMAKE_ARM7 OFF CACHE BOOL "Set copts for Armv7 with NEON (requires vfpv4)?") # Upstream compilers(GCC 14 or CLANG 18) start enabling LSX by default, but # enabling LASX still require -mlasx flag to be passed explicitly, in order # to enable all targets, we can check them directly, adding them if they are # supported. In this way, Our local compilers(GCC 8.3.0 or CLANG 8.0.1) also # could enable LSX & LASX targets. Any better ideas or suggestions are welcome. set(HWY_CMAKE_LSX ON CACHE BOOL "Add -mlsx flag?") set(HWY_CMAKE_LASX ON CACHE BOOL "Add -mlasx flag?") # This must be set on 32-bit x86 with GCC < 13.1, otherwise math_test will be # skipped. For GCC 13.1+, you can also build with -fexcess-precision=standard. set(HWY_CMAKE_SSE2 OFF CACHE BOOL "Set SSE2 as baseline for 32-bit x86?") # Currently this will compile the entire codebase with `-march=rvgcv1p0`: set(HWY_CMAKE_RVV ON CACHE BOOL "Set copts for RISCV with RVV?") # Unconditionally adding -Werror risks breaking the build when new warnings # arise due to compiler/platform changes. Enable this in CI/tests. set(HWY_WARNINGS_ARE_ERRORS OFF CACHE BOOL "Add -Werror flag?") # Experimental support for header-only builds set(HWY_CMAKE_HEADER_ONLY OFF CACHE BOOL "Change to header-only?") set(HWY_ENABLE_CONTRIB ON CACHE BOOL "Include contrib/") set(HWY_ENABLE_EXAMPLES ON CACHE BOOL "Build examples") set(HWY_ENABLE_INSTALL ON CACHE BOOL "Install library") set(HWY_ENABLE_TESTS ON CACHE BOOL "Enable HWY tests") if (MSVC) set(HWY_TEST_STANDALONE ON CACHE BOOL "Disable use of googletest") else() set(HWY_TEST_STANDALONE OFF CACHE BOOL "Disable use of googletest") endif() if (NOT DEFINED CMAKE_CXX_STANDARD) if ("cxx_std_17" IN_LIST CMAKE_CXX_COMPILE_FEATURES) set(HWY_CXX_STD_TGT_COMPILE_FEATURE cxx_std_17) else() if ("cxx_std_14" IN_LIST CMAKE_CXX_COMPILE_FEATURES) set(HWY_CXX_STD_TGT_COMPILE_FEATURE cxx_std_14) else() set(HWY_CXX_STD_TGT_COMPILE_FEATURE cxx_std_11) endif() endif() else() if (CMAKE_CXX_STANDARD GREATER_EQUAL 14 AND CMAKE_CXX_STANDARD LESS 98) if (CMAKE_CXX_STANDARD GREATER_EQUAL 17) set(HWY_CXX_STD_TGT_COMPILE_FEATURE cxx_std_17) else() set(HWY_CXX_STD_TGT_COMPILE_FEATURE cxx_std_14) endif() else() set(HWY_CXX_STD_TGT_COMPILE_FEATURE cxx_std_11) endif() endif() include(CheckCXXSourceCompiles) check_cxx_source_compiles( "int main() { #if !defined(__EMSCRIPTEN__) static_assert(false, \"__EMSCRIPTEN__ is not defined\"); #endif return 0; }" HWY_EMSCRIPTEN ) check_cxx_source_compiles( "int main() { #if !defined(__riscv) static_assert(false, \"__riscv is not defined\"); #endif return 0; }" HWY_RISCV ) if (CMAKE_SYSTEM_PROCESSOR MATCHES "loongarch32|loongarch64") include(CheckCXXCompilerFlag) if (HWY_CMAKE_LSX) set (CMAKE_REQUIRED_FLAGS -mlsx) check_cxx_source_compiles( "int main() { #if !defined(__loongarch_sx) static_assert(false, \"__loongarch_sx is not defined\"); #endif return 0; }" COMPILER_SUPPORT_LSX_FLAG ) endif() if (HWY_CMAKE_LASX) set (CMAKE_REQUIRED_FLAGS -mlasx) check_cxx_source_compiles( "int main() { #if !defined(__loongarch_asx) static_assert(false, \"__loongarch_asx is not defined\"); #endif return 0; }" COMPILER_SUPPORT_LASX_FLAG ) endif() endif() if (WIN32) set (ORIG_CMAKE_REQUIRED_LIBRARIES ${CMAKE_REQUIRED_LIBRARIES}) set (CMAKE_REQUIRED_LIBRARIES synchronization) check_cxx_source_compiles( "#ifndef NOMINMAX #define NOMINMAX #endif #include int main() { unsigned val1 = 0u; unsigned val2 = 1u; WaitOnAddress(&val1, &val2, sizeof(unsigned), 1); WakeByAddressAll(&val1); WakeByAddressSingle(&val1); return 0; }" HWY_HAVE_WIN32_SYNCHRONIZATION_LIB) set (CMAKE_REQUIRED_LIBRARIES ${ORIG_CMAKE_REQUIRED_LIBRARIES}) else() set (HWY_HAVE_WIN32_SYNCHRONIZATION_LIB OFF) endif () if (HWY_HAVE_WIN32_SYNCHRONIZATION_LIB OR NOT WIN32) set (HWY_DISABLE_FUTEX OFF CACHE BOOL "Disable futex for thread_pool") else() # Force HWY_DISABLE_FUTEX to ON if compiling for Win32 and # libsynchronization.a or synchronization.lib is not available set (HWY_DISABLE_FUTEX ON CACHE BOOL "Disable futex for thread_pool" FORCE) endif() find_package(Threads) if (NOT Threads_FOUND AND HWY_ENABLE_CONTRIB) message(FATAL_ERROR "Threads must be available if HWY_ENABLE_CONTRIB is ON") endif() if(Threads_FOUND) if(THREADS_HAVE_PTHREAD_ARG) set(HWY_THREAD_FLAGS "-pthread") else() set(HWY_THREAD_FLAGS "") endif() if(CMAKE_THREAD_LIBS_INIT) set(HWY_THREAD_LIBS ${CMAKE_THREAD_LIBS_INIT}) else() set(HWY_THREAD_LIBS "") endif() else() set(HWY_THREAD_FLAGS "") set(HWY_THREAD_LIBS "") endif() if (HWY_RISCV OR CMAKE_CXX_COMPILER_ARCHITECTURE_ID MATCHES "RISCV32|RISCV64|RISCV128" OR CMAKE_SYSTEM_PROCESSOR MATCHES "riscv32|riscv64|riscv128") include(CheckCSourceCompiles) check_c_source_compiles(" #if __riscv_xlen == 64 int main() { return 0; } #else #error Not RISCV-64 #endif " IS_RISCV_XLEN_64) check_c_source_compiles(" #if __riscv_xlen == 32 int main() { return 0; } #else #error Not RISCV-32 #endif " IS_RISCV_XLEN_32) if(IS_RISCV_XLEN_32) set(RISCV_XLEN 32) elseif(IS_RISCV_XLEN_64) set(RISCV_XLEN 64) else() message(WARNING "Unable to determine RISC-V XLEN") endif() endif() if (HWY_ENABLE_CONTRIB) # Glob all the traits so we don't need to modify this file when adding # additional special cases. file(GLOB HWY_CONTRIB_SOURCES "hwy/contrib/sort/vqsort_*.cc") list(APPEND HWY_CONTRIB_SOURCES hwy/contrib/bit_pack/bit_pack-inl.h hwy/contrib/dot/dot-inl.h hwy/contrib/image/image.cc hwy/contrib/image/image.h hwy/contrib/math/math-inl.h hwy/contrib/matvec/matvec-inl.h hwy/contrib/random/random-inl.h hwy/contrib/sort/order.h hwy/contrib/sort/shared-inl.h hwy/contrib/sort/sorting_networks-inl.h hwy/contrib/sort/traits-inl.h hwy/contrib/sort/traits128-inl.h hwy/contrib/sort/vqsort-inl.h hwy/contrib/sort/vqsort.cc hwy/contrib/sort/vqsort.h hwy/contrib/thread_pool/futex.h hwy/contrib/thread_pool/spin.h hwy/contrib/thread_pool/thread_pool.h hwy/contrib/thread_pool/topology.cc hwy/contrib/thread_pool/topology.h hwy/contrib/algo/copy-inl.h hwy/contrib/algo/find-inl.h hwy/contrib/algo/transform-inl.h hwy/contrib/unroller/unroller-inl.h ) endif() # HWY_ENABLE_CONTRIB set(HWY_SOURCES hwy/abort.h hwy/aligned_allocator.h hwy/auto_tune.h hwy/base.h hwy/cache_control.h hwy/detect_compiler_arch.h # private hwy/detect_targets.h # private hwy/foreach_target.h hwy/highway_export.h hwy/highway.h hwy/nanobenchmark.h hwy/ops/arm_neon-inl.h hwy/ops/arm_sve-inl.h hwy/ops/emu128-inl.h hwy/ops/generic_ops-inl.h hwy/ops/inside-inl.h hwy/ops/loongarch_lsx-inl.h hwy/ops/loongarch_lasx-inl.h hwy/ops/ppc_vsx-inl.h hwy/ops/rvv-inl.h hwy/ops/scalar-inl.h hwy/ops/set_macros-inl.h hwy/ops/shared-inl.h hwy/ops/wasm_128-inl.h hwy/ops/x86_128-inl.h hwy/ops/x86_256-inl.h hwy/ops/x86_512-inl.h hwy/ops/x86_avx3-inl.h hwy/per_target.h hwy/print-inl.h hwy/print.h hwy/profiler.h hwy/robust_statistics.h hwy/targets.h hwy/timer-inl.h hwy/timer.h hwy/x86_cpuid.h ) if (NOT HWY_CMAKE_HEADER_ONLY) list(APPEND HWY_SOURCES hwy/abort.cc hwy/aligned_allocator.cc hwy/nanobenchmark.cc hwy/per_target.cc hwy/perf_counters.cc hwy/print.cc hwy/profiler.cc hwy/targets.cc hwy/timer.cc ) endif() set(HWY_TEST_SOURCES hwy/tests/hwy_gtest.h hwy/tests/test_util-inl.h hwy/tests/test_util.cc hwy/tests/test_util.h ) if (MSVC) set(HWY_FLAGS # fix build error C1128 in blockwise*_test & arithmetic_test /bigobj # Warnings /W4 # Disable some W4 warnings. Enable them individually after they are cleaned up. /wd4100 /wd4127 /wd4324 /wd4456 /wd4701 /wd4702 /wd4723 # CMake automatically adds exception handling flags. Remove them. /GR- /EHs-c- # Disable exceptions in STL code. -D_HAS_EXCEPTIONS=0 ) # This adds extra warnings for the clang-cl compiler on Windows. # This is the same as the sections in the else part. # These could be refactored. if (${CMAKE_CXX_COMPILER_ID} MATCHES "Clang") list(APPEND HWY_FLAGS # These are not included in Wall nor Wextra: -Wconversion -Wsign-conversion -Wvla -Wnon-virtual-dtor -Wfloat-overflow-conversion -Wfloat-zero-conversion -Wfor-loop-analysis -Wgnu-redeclared-enum -Winfinite-recursion -Wself-assign -Wstring-conversion -Wtautological-overlap-compare -Wthread-safety-analysis -Wundefined-func-template ) endif() if (HWY_WARNINGS_ARE_ERRORS) list(APPEND HWY_FLAGS /WX) endif() else() set(HWY_FLAGS # Avoid changing binaries based on the current time and date. -Wno-builtin-macro-redefined -D__DATE__="redacted" -D__TIMESTAMP__="redacted" -D__TIME__="redacted" # Optimizations -fmerge-all-constants # Warnings -Wall -Wextra # These are not included in Wall nor Wextra: -Wconversion -Wsign-conversion -Wvla -Wnon-virtual-dtor -Wcast-align # see -Wcast-align=strict on x86 ) # In case LSX/LASX are available but not enabled by defautl. if(COMPILER_SUPPORT_LSX_FLAG) list(APPEND HWY_FLAGS -mlsx) endif() if(COMPILER_SUPPORT_LASX_FLAG) list(APPEND HWY_FLAGS -mlasx) endif() if(${CMAKE_CXX_COMPILER_ID} MATCHES "Clang") list(APPEND HWY_FLAGS -Wfloat-overflow-conversion -Wfloat-zero-conversion -Wfor-loop-analysis -Wgnu-redeclared-enum -Winfinite-recursion -Wself-assign -Wstring-conversion -Wtautological-overlap-compare -Wthread-safety-analysis -Wundefined-func-template -fno-cxx-exceptions -fno-slp-vectorize -fno-vectorize # Use color in messages -fdiagnostics-show-option -fcolor-diagnostics ) if (CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL 6.0) list(APPEND HWY_FLAGS -Wc++2a-extensions) endif() endif() if (WIN32) if(${CMAKE_CXX_COMPILER_ID} MATCHES "Clang") list(APPEND HWY_FLAGS -Wno-global-constructors -Wno-language-extension-token -Wno-used-but-marked-unused -Wno-shadow-field-in-constructor -Wno-unused-member-function -Wno-unused-template -Wno-c++98-compat-pedantic -Wno-used-but-marked-unused -Wno-zero-as-null-pointer-constant ) endif() list(APPEND HWY_FLAGS -Wno-cast-align -Wno-double-promotion -Wno-float-equal -Wno-format-nonliteral -Wno-shadow -Wno-sign-conversion ) else() list(APPEND HWY_FLAGS -fmath-errno -fno-exceptions ) endif() # WIN32 # Workaround for excess precision, see #1488. if (HWY_CMAKE_SSE2) list(APPEND HWY_FLAGS -msse2 -mfpmath=sse) endif() # Suppress STL iterator warnings. Supported by GCC 4.4.7 and newer, which # predates the C++11 we require. if (${CMAKE_CXX_COMPILER_ID} MATCHES "GNU") list(APPEND HWY_FLAGS -Wno-psabi) endif() # Clang supports this flag from 11.0. if (${CMAKE_CXX_COMPILER_ID} MATCHES "Clang") if (CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL 11.0) list(APPEND HWY_FLAGS -Wno-psabi) endif() endif() if (HWY_CMAKE_ARM7) list(APPEND HWY_FLAGS -march=armv7-a -mfpu=neon-vfpv4 -mfloat-abi=hard # must match the toolchain specified as CXX= -DHWY_HAVE_SCALAR_F16_TYPE=0 # See #2625 -DHWY_NEON_HAVE_F16C=0 ) if(${CMAKE_CXX_COMPILER_ID} MATCHES "GNU") # using GCC list(APPEND HWY_FLAGS -mfp16-format=ieee # required for vcvt_f32_f16 ) endif() endif() # HWY_CMAKE_ARM7 if(HWY_RISCV) # gcc(13) and recent clang both support V, but not yet runtime dispatch, so # we add the gcv compiler flag, which then requires the CPU (now when using # either compiler) to support V. if(HWY_CMAKE_RVV) if(RISCV_XLEN EQUAL 64) list(APPEND HWY_FLAGS -march=rv64gcv1p0) add_link_options(-march=rv64gcv1p0) elseif(RISCV_XLEN EQUAL 32) list(APPEND HWY_FLAGS -march=rv32gcv1p0) add_link_options(-march=rv32gcv1p0) endif() if(${CMAKE_CXX_COMPILER_ID} MATCHES "Clang") list(APPEND HWY_FLAGS -menable-experimental-extensions) endif() endif() endif() if (HWY_WARNINGS_ARE_ERRORS) list(APPEND HWY_FLAGS -Werror) endif() # Prevent "wasm-ld: error: --shared-memory is disallowed by targets.cc.o # because it was not compiled with 'atomics' or 'bulk-memory' features." if (HWY_EMSCRIPTEN) list(APPEND HWY_FLAGS -matomics) endif() endif() # !MSVC if (HWY_DISABLE_FUTEX) list(APPEND HWY_FLAGS -DHWY_DISABLE_FUTEX) endif() if (HWY_CMAKE_HEADER_ONLY) list(APPEND HWY_FLAGS -DHWY_HEADER_ONLY) endif() include(CheckIncludeFile) check_include_file(sys/auxv.h HAVE_SYS_AUXV_H) check_include_file(asm/hwcap.h HAVE_ASM_HWCAP_H) # By default prefer STATIC build (legacy behavior) option(BUILD_SHARED_LIBS "Build shared libraries" OFF) option(HWY_FORCE_STATIC_LIBS "Ignore BUILD_SHARED_LIBS" OFF) # only expose shared/static options to advanced users: mark_as_advanced(BUILD_SHARED_LIBS) mark_as_advanced(HWY_FORCE_STATIC_LIBS) # Define visibility settings globally: set(CMAKE_CXX_VISIBILITY_PRESET hidden) set(CMAKE_VISIBILITY_INLINES_HIDDEN 1) # Copy-cat "add_library" logic + add override. set(HWY_LIBRARY_TYPE "SHARED") if (NOT BUILD_SHARED_LIBS OR HWY_FORCE_STATIC_LIBS) set(HWY_LIBRARY_TYPE "STATIC") endif() # This preprocessor define will drive the build, also used in the *.pc files: if("${HWY_LIBRARY_TYPE}" STREQUAL "SHARED") set(DLLEXPORT_TO_DEFINE "HWY_SHARED_DEFINE") else() set(DLLEXPORT_TO_DEFINE "HWY_STATIC_DEFINE") endif() add_library(hwy ${HWY_LIBRARY_TYPE} ${HWY_SOURCES}) if(NOT HAVE_SYS_AUXV_H) target_compile_definitions(hwy PUBLIC TOOLCHAIN_MISS_SYS_AUXV_H) endif() if(NOT HAVE_ASM_HWCAP_H) target_compile_definitions(hwy PUBLIC TOOLCHAIN_MISS_ASM_HWCAP_H) endif() target_compile_definitions(hwy PUBLIC "${DLLEXPORT_TO_DEFINE}") target_compile_options(hwy PRIVATE ${HWY_FLAGS}) set_property(TARGET hwy PROPERTY POSITION_INDEPENDENT_CODE ON) set_target_properties(hwy PROPERTIES VERSION ${LIBRARY_VERSION} SOVERSION ${LIBRARY_SOVERSION}) target_include_directories(hwy PUBLIC $ $) target_compile_features(hwy PUBLIC cxx_std_11) if (NOT HWY_CXX_STD_TGT_COMPILE_FEATURE STREQUAL "cxx_std_11") target_compile_features(hwy PRIVATE ${HWY_CXX_STD_TGT_COMPILE_FEATURE}) endif() set_target_properties(hwy PROPERTIES LINK_DEPENDS ${CMAKE_CURRENT_SOURCE_DIR}/hwy/hwy.version) # For GCC __atomic_store_8, see #887 target_link_libraries(hwy PRIVATE ${ATOMICS_LIBRARIES}) # not supported by MSVC/Clang, safe to skip (we use DLLEXPORT annotations) if(UNIX AND NOT APPLE) set_property(TARGET hwy APPEND_STRING PROPERTY LINK_FLAGS " -Wl,--version-script=${CMAKE_CURRENT_SOURCE_DIR}/hwy/hwy.version") endif() if (HWY_ENABLE_CONTRIB) add_library(hwy_contrib ${HWY_LIBRARY_TYPE} ${HWY_CONTRIB_SOURCES}) target_link_libraries(hwy_contrib PUBLIC hwy) target_compile_options(hwy_contrib PRIVATE ${HWY_FLAGS} ${HWY_THREAD_FLAGS}) set_property(TARGET hwy_contrib PROPERTY POSITION_INDEPENDENT_CODE ON) set_target_properties(hwy_contrib PROPERTIES VERSION ${LIBRARY_VERSION} SOVERSION ${LIBRARY_SOVERSION}) target_include_directories(hwy_contrib PUBLIC $ $) target_compile_features(hwy_contrib PUBLIC cxx_std_11) if (NOT HWY_CXX_STD_TGT_COMPILE_FEATURE STREQUAL "cxx_std_11") target_compile_features(hwy_contrib PRIVATE ${HWY_CXX_STD_TGT_COMPILE_FEATURE}) endif() set_target_properties(hwy_contrib PROPERTIES LINK_DEPENDS ${CMAKE_CURRENT_SOURCE_DIR}/hwy/hwy.version) # For GCC __atomic_store_8, see #887 target_link_libraries(hwy_contrib PRIVATE ${ATOMICS_LIBRARIES}) # Avoid linker errors if libpthread needs to be linked target_link_libraries(hwy_contrib PRIVATE ${HWY_THREAD_LIBS}) if (WIN32 AND NOT MSVC AND NOT HWY_DISABLE_FUTEX) target_link_libraries(hwy_contrib PUBLIC synchronization) endif() # not supported by MSVC/Clang, safe to skip (we use DLLEXPORT annotations) if(UNIX AND NOT APPLE) set_property(TARGET hwy_contrib APPEND_STRING PROPERTY LINK_FLAGS " -Wl,--version-script=${CMAKE_CURRENT_SOURCE_DIR}/hwy/hwy.version") endif() endif() # HWY_ENABLE_CONTRIB add_library(hwy_test ${HWY_LIBRARY_TYPE} ${HWY_TEST_SOURCES}) target_link_libraries(hwy_test PUBLIC hwy) target_compile_options(hwy_test PRIVATE ${HWY_FLAGS}) set_property(TARGET hwy_test PROPERTY POSITION_INDEPENDENT_CODE ON) set_target_properties(hwy_test PROPERTIES VERSION ${LIBRARY_VERSION} SOVERSION ${LIBRARY_SOVERSION}) target_include_directories(hwy_test PUBLIC $ $) target_compile_features(hwy_test PUBLIC cxx_std_11) if (NOT HWY_CXX_STD_TGT_COMPILE_FEATURE STREQUAL "cxx_std_11") target_compile_features(hwy_test PRIVATE ${HWY_CXX_STD_TGT_COMPILE_FEATURE}) endif() set_target_properties(hwy_test PROPERTIES LINK_DEPENDS ${CMAKE_CURRENT_SOURCE_DIR}/hwy/hwy.version) # not supported by MSVC/Clang, safe to skip (we use DLLEXPORT annotations) if(UNIX AND NOT APPLE) set_property(TARGET hwy_test APPEND_STRING PROPERTY LINK_FLAGS " -Wl,--version-script=${CMAKE_CURRENT_SOURCE_DIR}/hwy/hwy.version") endif() # -------------------------------------------------------- hwy_list_targets # Generate a tool to print the compiled-in targets as defined by the current # flags. This tool will print to stderr at build time, after building hwy. add_executable(hwy_list_targets hwy/tests/list_targets.cc) target_compile_options(hwy_list_targets PRIVATE ${HWY_FLAGS}) target_compile_features(hwy_list_targets PRIVATE ${HWY_CXX_STD_TGT_COMPILE_FEATURE}) target_link_libraries(hwy_list_targets PRIVATE hwy) target_include_directories(hwy_list_targets PRIVATE $) # TARGET_FILE always returns the path to executable # Naked target also not always could be run (due to the lack of '.\' prefix) # Thus effective command to run should contain the full path # and emulator prefix (if any). if (NOT CMAKE_CROSSCOMPILING OR CMAKE_CROSSCOMPILING_EMULATOR) add_custom_command(TARGET hwy_list_targets POST_BUILD COMMAND ${CMAKE_CROSSCOMPILING_EMULATOR} $ || (exit 0)) endif() # -------------------------------------------------------- # Allow skipping the following sections for projects that do not need them: # tests, examples, benchmarks and installation. # -------------------------------------------------------- install library if (HWY_ENABLE_INSTALL) install(TARGETS hwy EXPORT hwy_targets LIBRARY DESTINATION "${CMAKE_INSTALL_LIBDIR}" ARCHIVE DESTINATION "${CMAKE_INSTALL_LIBDIR}" RUNTIME DESTINATION "${CMAKE_INSTALL_BINDIR}") # Install all the headers keeping the relative path to the current directory # when installing them. foreach (source ${HWY_SOURCES}) if ("${source}" MATCHES "\.h$") get_filename_component(dirname "${source}" DIRECTORY) install(FILES "${source}" DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}/${dirname}") endif() endforeach() if (HWY_ENABLE_CONTRIB) install(TARGETS hwy_contrib EXPORT hwy_targets LIBRARY DESTINATION "${CMAKE_INSTALL_LIBDIR}" ARCHIVE DESTINATION "${CMAKE_INSTALL_LIBDIR}" RUNTIME DESTINATION "${CMAKE_INSTALL_BINDIR}") # Install all the headers keeping the relative path to the current directory # when installing them. foreach (source ${HWY_CONTRIB_SOURCES}) if ("${source}" MATCHES "\.h$") get_filename_component(dirname "${source}" DIRECTORY) install(FILES "${source}" DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}/${dirname}") endif() endforeach() endif() # HWY_ENABLE_CONTRIB if (HWY_ENABLE_TESTS) install(TARGETS hwy_test EXPORT hwy_targets LIBRARY DESTINATION "${CMAKE_INSTALL_LIBDIR}" ARCHIVE DESTINATION "${CMAKE_INSTALL_LIBDIR}" RUNTIME DESTINATION "${CMAKE_INSTALL_BINDIR}") # Install all the headers keeping the relative path to the current directory # when installing them. foreach (source ${HWY_TEST_SOURCES}) if ("${source}" MATCHES "\.h$") get_filename_component(dirname "${source}" DIRECTORY) install(FILES "${source}" DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}/${dirname}") endif() endforeach() endif() # HWY_ENABLE_TESTS # Add a pkg-config file for libhwy and the contrib/test libraries. set(HWY_LIBRARY_VERSION "${CMAKE_PROJECT_VERSION}") set(HWY_PC_FILES libhwy.pc) if (HWY_DISABLE_FUTEX) set(HWY_PC_DISABLE_FUTEX_CFLAGS "-DHWY_DISABLE_FUTEX") else() set(HWY_PC_DISABLE_FUTEX_CFLAGS "") endif() if (WIN32 AND NOT MSVC AND NOT HWY_DISABLE_FUTEX) set(HWY_PC_WIN32_SYNCHRONIZATION_LIBS "-lsynchronization") else() set(HWY_PC_WIN32_SYNCHRONIZATION_LIBS "") endif() if (HWY_ENABLE_CONTRIB) list(APPEND HWY_PC_FILES libhwy-contrib.pc) endif() # HWY_ENABLE_CONTRIB if (HWY_ENABLE_TESTS) if (HWY_TEST_STANDALONE) set(HWY_PC_HWY_TEST_REQUIRES "") set(HWY_PC_HWY_TEST_CFLAGS "-DHWY_TEST_STANDALONE=1") else() set(HWY_PC_HWY_TEST_REQUIRES "gtest") set(HWY_PC_HWY_TEST_CFLAGS "") endif() list(APPEND HWY_PC_FILES libhwy-test.pc) endif() # HWY_ENABLE_TESTS foreach (pc ${HWY_PC_FILES}) configure_file("${CMAKE_CURRENT_SOURCE_DIR}/${pc}.in" "${pc}" @ONLY) install(FILES "${CMAKE_CURRENT_BINARY_DIR}/${pc}" DESTINATION "${CMAKE_INSTALL_LIBDIR}/pkgconfig") endforeach() endif() # HWY_ENABLE_INSTALL # -------------------------------------------------------- Examples if (HWY_ENABLE_EXAMPLES) # Avoids mismatch between GTest's static CRT and our dynamic. set(gtest_force_shared_crt ON CACHE BOOL "" FORCE) # Programming exercise with integrated benchmark add_executable(hwy_benchmark hwy/examples/benchmark.cc) target_sources(hwy_benchmark PRIVATE hwy/nanobenchmark.h) # Try adding one of -DHWY_COMPILE_ONLY_SCALAR, -DHWY_COMPILE_ONLY_EMU128 or # -DHWY_COMPILE_ONLY_STATIC to observe the difference in targets printed. target_compile_options(hwy_benchmark PRIVATE ${HWY_FLAGS}) target_compile_features(hwy_benchmark PRIVATE ${HWY_CXX_STD_TGT_COMPILE_FEATURE}) target_link_libraries(hwy_benchmark PRIVATE hwy) target_link_libraries(hwy_benchmark PRIVATE ${ATOMICS_LIBRARIES}) set_target_properties(hwy_benchmark PROPERTIES RUNTIME_OUTPUT_DIRECTORY "examples/") # Profiler demo if (HWY_ENABLE_CONTRIB) add_executable(hwy_profiler_example hwy/examples/profiler_example.cc) target_sources(hwy_profiler_example PRIVATE hwy/profiler.h) target_compile_options(hwy_profiler_example PRIVATE ${HWY_FLAGS} ${HWY_THREAD_FLAGS}) target_compile_features(hwy_profiler_example PRIVATE ${HWY_CXX_STD_TGT_COMPILE_FEATURE}) target_link_libraries(hwy_profiler_example PRIVATE hwy hwy_contrib) target_link_libraries(hwy_profiler_example PRIVATE ${ATOMICS_LIBRARIES}) target_link_libraries(hwy_profiler_example PRIVATE ${HWY_THREAD_LIBS}) set_target_properties(hwy_profiler_example PROPERTIES RUNTIME_OUTPUT_DIRECTORY "examples/") endif() # HWY_ENABLE_CONTRIB endif() # HWY_ENABLE_EXAMPLES # -------------------------------------------------------- Tests include(CTest) if(BUILD_TESTING AND HWY_ENABLE_TESTS) enable_testing() include(GoogleTest) set(HWY_SYSTEM_GTEST OFF CACHE BOOL "Use pre-installed googletest?") if(NOT HWY_TEST_STANDALONE) if(HWY_SYSTEM_GTEST) find_package(GTest REQUIRED) else() # Download and unpack googletest at configure time configure_file(CMakeLists.txt.in googletest-download/CMakeLists.txt) execute_process(COMMAND ${CMAKE_COMMAND} -G "${CMAKE_GENERATOR}" . RESULT_VARIABLE result WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/googletest-download ) if(result) message(FATAL_ERROR "CMake step for googletest failed: ${result}") endif() execute_process(COMMAND ${CMAKE_COMMAND} --build . RESULT_VARIABLE result WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/googletest-download ) if(result) message(FATAL_ERROR "Build step for googletest failed: ${result}") endif() # Prevent overriding the parent project's compiler/linker # settings on Windows set(gtest_force_shared_crt ON CACHE BOOL "" FORCE) # Add googletest directly to our build. This defines # the gtest and gtest_main targets. add_subdirectory(${CMAKE_CURRENT_BINARY_DIR}/googletest-src ${CMAKE_CURRENT_BINARY_DIR}/googletest-build EXCLUDE_FROM_ALL) endif() # HWY_SYSTEM_GTEST endif() # HWY_TEST_STANDALONE set(HWY_TEST_FILES hwy/abort_test.cc hwy/aligned_allocator_test.cc hwy/base_test.cc hwy/bit_set_test.cc hwy/highway_test.cc hwy/nanobenchmark_test.cc hwy/perf_counters_test.cc hwy/targets_test.cc hwy/examples/skeleton_test.cc hwy/tests/arithmetic_test.cc hwy/tests/bit_permute_test.cc hwy/tests/blockwise_combine_test.cc hwy/tests/blockwise_shift_test.cc hwy/tests/blockwise_test.cc hwy/tests/cast_test.cc hwy/tests/combine_test.cc hwy/tests/compare_test.cc hwy/tests/complex_arithmetic_test.cc hwy/tests/compress_test.cc hwy/tests/concat_test.cc hwy/tests/convert_test.cc hwy/tests/count_test.cc hwy/tests/crypto_test.cc hwy/tests/demote_test.cc hwy/tests/div_test.cc hwy/tests/dup128_vec_test.cc hwy/tests/expand_test.cc hwy/tests/float_test.cc hwy/tests/fma_test.cc hwy/tests/foreach_vec_test.cc hwy/tests/if_test.cc hwy/tests/in_range_float_to_int_conv_test.cc hwy/tests/interleaved_test.cc hwy/tests/logical_test.cc hwy/tests/mask_combine_test.cc hwy/tests/mask_convert_test.cc hwy/tests/mask_mem_test.cc hwy/tests/mask_set_test.cc hwy/tests/mask_slide_test.cc hwy/tests/mask_test.cc hwy/tests/masked_arithmetic_test.cc hwy/tests/masked_minmax_test.cc hwy/tests/memory_test.cc hwy/tests/minmax_magnitude_test.cc hwy/tests/minmax_number_test.cc hwy/tests/minmax_test.cc hwy/tests/minmax128_test.cc hwy/tests/mul_by_pow2_test.cc hwy/tests/mul_pairwise_test.cc hwy/tests/mul_test.cc hwy/tests/reduction_test.cc hwy/tests/resize_test.cc hwy/tests/reverse_test.cc hwy/tests/rotate_test.cc hwy/tests/saturated_test.cc hwy/tests/shift_test.cc hwy/tests/shuffle4_test.cc hwy/tests/sign_test.cc hwy/tests/slide_up_down_test.cc hwy/tests/sums_abs_diff_test.cc hwy/tests/swizzle_block_test.cc hwy/tests/swizzle_test.cc hwy/tests/table_test.cc hwy/tests/test_util_test.cc hwy/tests/truncate_test.cc hwy/tests/tuple_test.cc hwy/tests/widen_mul_test.cc ) set(HWY_TEST_LIBS hwy hwy_test) if (HWY_ENABLE_CONTRIB) list(APPEND HWY_TEST_LIBS hwy_contrib) list(APPEND HWY_TEST_FILES hwy/auto_tune_test.cc hwy/contrib/algo/copy_test.cc hwy/contrib/algo/find_test.cc hwy/contrib/algo/transform_test.cc hwy/contrib/bit_pack/bit_pack_test.cc hwy/contrib/dot/dot_test.cc hwy/contrib/matvec/matvec_test.cc hwy/contrib/image/image_test.cc # Disabled due to SIGILL in clang7 debug build during gtest discovery phase, # not reproducible locally. Still tested via bazel build. hwy/contrib/math/math_test.cc hwy/contrib/random/random_test.cc hwy/contrib/sort/bench_sort.cc hwy/contrib/sort/sort_test.cc hwy/contrib/sort/sort_unit_test.cc hwy/contrib/thread_pool/spin_test.cc hwy/contrib/thread_pool/thread_pool_test.cc hwy/contrib/thread_pool/topology_test.cc hwy/contrib/unroller/unroller_test.cc ) endif() # HWY_ENABLE_CONTRIB if(HWY_TEST_STANDALONE) set(HWY_GTEST_LIBS "") else() if(HWY_SYSTEM_GTEST) if (CMAKE_VERSION VERSION_LESS 3.20) set(HWY_GTEST_LIBS GTest::GTest GTest::Main) else() set(HWY_GTEST_LIBS GTest::gtest GTest::gtest_main) endif() else() set(HWY_GTEST_LIBS gtest gtest_main) endif() endif() # HWY_TEST_STANDALONE file(MAKE_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/tests) foreach (TESTFILE IN LISTS HWY_TEST_FILES) # The TESTNAME is the name without the extension or directory. get_filename_component(TESTNAME ${TESTFILE} NAME_WE) add_executable(${TESTNAME} ${TESTFILE}) target_compile_options(${TESTNAME} PRIVATE ${HWY_FLAGS} ${HWY_THREAD_FLAGS}) # Test all targets, not just the best/baseline. This changes the default # policy to all-attainable; note that setting -DHWY_COMPILE_* directly can # cause compile errors because only one may be set, and other CMakeLists.txt # that include us may set them. target_compile_options(${TESTNAME} PRIVATE -DHWY_IS_TEST=1) if(HWY_TEST_STANDALONE) target_compile_options(${TESTNAME} PRIVATE -DHWY_TEST_STANDALONE=1) endif() target_compile_features(${TESTNAME} PRIVATE ${HWY_CXX_STD_TGT_COMPILE_FEATURE}) target_link_libraries(${TESTNAME} PRIVATE ${HWY_TEST_LIBS} ${HWY_GTEST_LIBS}) # For GCC __atomic_store_8, see #887 target_link_libraries(${TESTNAME} PRIVATE ${ATOMICS_LIBRARIES}) # Avoid linker errors if libpthread needs to be linked target_link_libraries(${TESTNAME} PRIVATE ${HWY_THREAD_LIBS}) # Output test targets in the test directory. set_target_properties(${TESTNAME} PROPERTIES RUNTIME_OUTPUT_DIRECTORY "tests") if (HWY_EMSCRIPTEN) set_target_properties(${TESTNAME} PROPERTIES LINK_FLAGS "-s SINGLE_FILE=1") endif() if(${CMAKE_VERSION} VERSION_LESS "3.10.3") gtest_discover_tests(${TESTNAME} TIMEOUT 60) else () gtest_discover_tests(${TESTNAME} DISCOVERY_TIMEOUT 60) endif () endforeach () # The skeleton test uses the skeleton library code. target_sources(skeleton_test PRIVATE hwy/examples/skeleton.cc) endif() # BUILD_TESTING if (HWY_ENABLE_INSTALL) # write hwy-config file to handle `Config` mode include(CMakePackageConfigHelpers) write_basic_package_version_file("${CMAKE_CURRENT_BINARY_DIR}/hwy-config-version.cmake" COMPATIBILITY SameMajorVersion) install(FILES "${CMAKE_CURRENT_BINARY_DIR}/hwy-config-version.cmake" DESTINATION "${CMAKE_INSTALL_LIBDIR}/cmake/hwy") install(EXPORT hwy_targets NAMESPACE "${namespace}" FILE hwy-config.cmake DESTINATION "${CMAKE_INSTALL_LIBDIR}/cmake/hwy") endif() highway-1.3.0/CMakeLists.txt.in000066400000000000000000000007351504730760100163300ustar00rootroot00000000000000cmake_minimum_required(VERSION 3.10) project(googletest-download NONE) include(ExternalProject) ExternalProject_Add(googletest GIT_REPOSITORY https://github.com/google/googletest.git GIT_TAG 43efa0a4efd40c78b9210d15373112081899a97c SOURCE_DIR "${CMAKE_CURRENT_BINARY_DIR}/googletest-src" BINARY_DIR "${CMAKE_CURRENT_BINARY_DIR}/googletest-build" CONFIGURE_COMMAND "" BUILD_COMMAND "" INSTALL_COMMAND "" TEST_COMMAND "" ) highway-1.3.0/CONTRIBUTING000066400000000000000000000027421504730760100150150ustar00rootroot00000000000000# How to Contribute We'd love to accept your patches and contributions to this project. Pull requests are very welcome. Bug reports (via issue) are also appreciated. Looking for a starter project? See the [wishlist](g3doc/op_wishlist.md) for some ideas for extensions and codegen improvements. There are just a few small guidelines you need to follow. ## Contributor License Agreement Contributions to this project must be accompanied by a Contributor License Agreement. You (or your employer) retain the copyright to your contribution; this simply gives us permission to use and redistribute your contributions as part of the project. Head over to to see your current agreements on file or to sign a new one. You generally only need to submit a CLA once, so if you've already submitted one (even if it was for a different project), you probably don't need to do it again. ## Code reviews All submissions, including submissions by project members, require review. We use GitHub pull requests for this purpose. Consult [GitHub Help](https://help.github.com/articles/about-pull-requests/) for more information on using pull requests. ## API changes Highway promises to be backwards-compatible to the current documented API. If you would like to propose a change, please raise an issue to discuss how we can retain compatibility. ## Community Guidelines This project follows [Google's Open Source Community Guidelines](https://opensource.google.com/conduct/). highway-1.3.0/LICENSE000066400000000000000000000261341504730760100141710ustar00rootroot00000000000000 Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. 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While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.highway-1.3.0/LICENSE-BSD3000066400000000000000000000027531504730760100146630ustar00rootroot00000000000000Copyright (c) The Highway Project Authors. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.highway-1.3.0/MODULE.bazel000066400000000000000000000005331504730760100151630ustar00rootroot00000000000000module( name = "highway", version = "1.3.0", ) bazel_dep(name = "bazel_skylib", version = "1.6.1") bazel_dep(name = "googletest", version = "1.15.2", repo_name = "com_google_googletest") bazel_dep(name = "rules_cc", version = "0.0.9") bazel_dep(name = "rules_license", version = "0.0.7") bazel_dep(name = "platforms", version = "0.0.10") highway-1.3.0/README.md000066400000000000000000000536421504730760100144470ustar00rootroot00000000000000# Efficient and performance-portable vector software [//]: # (placeholder, do not remove) Highway is a C++ library that provides portable SIMD/vector intrinsics. [Documentation](https://google.github.io/highway/en/master/) Previously licensed under Apache 2, now dual-licensed as Apache 2 / BSD-3. ## Why We are passionate about high-performance software. We see major untapped potential in CPUs (servers, mobile, desktops). Highway is for engineers who want to reliably and economically push the boundaries of what is possible in software. ## How CPUs provide SIMD/vector instructions that apply the same operation to multiple data items. This can reduce energy usage e.g. *fivefold* because fewer instructions are executed. We also often see *5-10x* speedups. Highway makes SIMD/vector programming practical and workable according to these guiding principles: **Does what you expect**: Highway is a C++ library with carefully-chosen functions that map well to CPU instructions without extensive compiler transformations. The resulting code is more predictable and robust to code changes/compiler updates than autovectorization. **Works on widely-used platforms**: Highway supports five architectures; the same application code can target various instruction sets, including those with 'scalable' vectors (size unknown at compile time). Highway only requires C++11 and supports four families of compilers. If you would like to use Highway on other platforms, please raise an issue. **Flexible to deploy**: Applications using Highway can run on heterogeneous clouds or client devices, choosing the best available instruction set at runtime. Alternatively, developers may choose to target a single instruction set without any runtime overhead. In both cases, the application code is the same except for swapping `HWY_STATIC_DISPATCH` with `HWY_DYNAMIC_DISPATCH` plus one line of code. See also @kfjahnke's [introduction to dispatching](https://github.com/kfjahnke/zimt/blob/multi_isa/examples/multi_isa_example/multi_simd_isa.md). **Suitable for a variety of domains**: Highway provides an extensive set of operations, used for image processing (floating-point), compression, video analysis, linear algebra, cryptography, sorting and random generation. We recognise that new use-cases may require additional ops and are happy to add them where it makes sense (e.g. no performance cliffs on some architectures). If you would like to discuss, please file an issue. **Rewards data-parallel design**: Highway provides tools such as Gather, MaskedLoad, and FixedTag to enable speedups for legacy data structures. However, the biggest gains are unlocked by designing algorithms and data structures for scalable vectors. Helpful techniques include batching, structure-of-array layouts, and aligned/padded allocations. We recommend these resources for getting started: - [SIMD programming with Highway talk](https://www.youtube.com/watch?v=R57biOOhnJM) - [SIMD for C++ Developers](http://const.me/articles/simd/simd.pdf) - [Algorithms for Modern Hardware](https://en.algorithmica.org/hpc/) - [Optimizing software in C++](https://agner.org/optimize/optimizing_cpp.pdf) - [Improving performance with SIMD intrinsics in three use cases](https://stackoverflow.blog/2020/07/08/improving-performance-with-simd-intrinsics-in-three-use-cases/) ## Examples Online demos using Compiler Explorer: - [multiple targets with dynamic dispatch](https://gcc.godbolt.org/z/KM3ben7ET) (more complicated, but flexible and uses best available SIMD) - [single target using -m flags](https://gcc.godbolt.org/z/rGnjMevKG) (simpler, but requires/only uses the instruction set enabled by compiler flags) We observe that Highway is referenced in the following open source projects, found via sourcegraph.com. Most are GitHub repositories. If you would like to add your project or link to it directly, feel free to raise an issue or contact us via the below email. * Audio: [Zimtohrli perceptual metric](https://github.com/google/zimtohrli) * Browsers: Chromium (+Vivaldi), Firefox (+floorp / foxhound / librewolf / Waterfox) * Computational biology: [RNA analysis](https://github.com/bnprks/BPCells) * Computer graphics: [Sparse voxel renderer](https://github.com/rools/voxl) * Cryptography: google/distributed_point_functions, google/shell-encryption * Data structures: bkille/BitLib * Image codecs: eustas/2im, [Grok JPEG 2000](https://github.com/GrokImageCompression/grok), [JPEG XL](https://github.com/libjxl/libjxl), [JPEGenc](https://github.com/osamu620/JPEGenc), [Jpegli](https://github.com/google/jpegli), OpenHTJ2K * Image processing: cloudinary/ssimulacra2, m-ab-s/media-autobuild_suite, [libvips](https://github.com/libvips/libvips) * Image viewers: AlienCowEatCake/ImageViewer, diffractor/diffractor, mirillis/jpegxl-wic, [Lux panorama/image viewer](https://bitbucket.org/kfj/pv/) * Information retrieval: [iresearch database index](https://github.com/iresearch-toolkit/iresearch), michaeljclark/zvec, [nebula interactive analytics / OLAP](https://github.com/varchar-io/nebula), [ScaNN Scalable Nearest Neighbors](https://github.com/google-research/google-research/tree/7a269cb2ce0ae1db591fe11b62cbc0be7d72532a/scann), [vectorlite vector search](https://github.com/1yefuwang1/vectorlite/) * Machine learning: [gemma.cpp](https://github.com/google/gemma.cpp), Tensorflow, Numpy, zpye/SimpleInfer * Robotics: [MIT Model-Based Design and Verification](https://github.com/RobotLocomotion/drake) Other * [Evaluation of C++ SIMD Libraries](https://www.mnm-team.org/pub/Fopras/rock23/): "Highway excelled with a strong performance across multiple SIMD extensions [..]. Thus, Highway may currently be the most suitable SIMD library for many software projects." * [zimt](https://github.com/kfjahnke/zimt): C++11 template library to process n-dimensional arrays with multi-threaded SIMD code * [vectorized Quicksort](https://github.com/google/highway/tree/master/hwy/contrib/sort) ([paper](https://arxiv.org/abs/2205.05982)) If you'd like to get Highway, in addition to cloning from this GitHub repository or using it as a Git submodule, you can also find it in the following package managers or repositories: * alpinelinux * conan-io * conda-forge * DragonFlyBSD, * fd00/yacp * freebsd * getsolus/packages * ghostbsd * microsoft/vcpkg * MidnightBSD * MSYS2 * NetBSD * openSUSE * opnsense * Xilinx/Vitis_Libraries * xmake-io/xmake-repo See also the list at https://repology.org/project/highway-simd-library/versions . ## Current status ### Targets Highway supports 24 targets, listed in alphabetical order of platform: - Any: `EMU128`, `SCALAR`; - Armv7+: `NEON_WITHOUT_AES`, `NEON`, `NEON_BF16`, `SVE`, `SVE2`, `SVE_256`, `SVE2_128`; - IBM Z: `Z14`, `Z15`; - POWER: `PPC8` (v2.07), `PPC9` (v3.0), `PPC10` (v3.1B, not yet supported due to compiler bugs, see #1207; also requires QEMU 7.2); - RISC-V: `RVV` (1.0); - WebAssembly: `WASM`, `WASM_EMU256` (a 2x unrolled version of wasm128, enabled if `HWY_WANT_WASM2` is defined. This will remain supported until it is potentially superseded by a future version of WASM.); - x86: - `SSE2` - `SSSE3` (~Intel Core) - `SSE4` (~Nehalem, also includes AES + CLMUL). - `AVX2` (~Haswell, also includes BMI2 + F16 + FMA) - `AVX3` (~Skylake, AVX-512F/BW/CD/DQ/VL) - `AVX3_DL` (~Icelake, includes `BitAlg` + `CLMUL` + `GFNI` + `VAES` + `VBMI` + `VBMI2` + `VNNI` + `VPOPCNT`), - `AVX3_ZEN4` (AVX3_DL plus BF16, optimized for AMD Zen4; requires opt-in by defining `HWY_WANT_AVX3_ZEN4` if compiling for static dispatch, but enabled by default for runtime dispatch), - `AVX3_SPR` (~Sapphire Rapids, includes AVX-512FP16) Our policy is that unless otherwise specified, targets will remain supported as long as they can be (cross-)compiled with currently supported Clang or GCC, and tested using QEMU. If the target can be compiled with LLVM trunk and tested using our version of QEMU without extra flags, then it is eligible for inclusion in our continuous testing infrastructure. Otherwise, the target will be manually tested before releases with selected versions/configurations of Clang and GCC. SVE was initially tested using farm_sve (see acknowledgments). ### Versioning Highway releases aim to follow the semver.org system (MAJOR.MINOR.PATCH), incrementing MINOR after backward-compatible additions and PATCH after backward-compatible fixes. We recommend using releases (rather than the Git tip) because they are tested more extensively, see below. The current version 1.0 signals an increased focus on backwards compatibility. Applications using documented functionality will remain compatible with future updates that have the same major version number. ### Testing Continuous integration tests build with a recent version of Clang (running on native x86, or QEMU for RISC-V and Arm) and MSVC 2019 (v19.28, running on native x86). Before releases, we also test on x86 with Clang and GCC, and Armv7/8 via GCC cross-compile. See the [testing process](g3doc/release_testing_process.md) for details. ### Related modules The `contrib` directory contains SIMD-related utilities: an image class with aligned rows, a math library (16 functions already implemented, mostly trigonometry), and functions for computing dot products and sorting. ### Other libraries If you only require x86 support, you may also use Agner Fog's [VCL vector class library](https://github.com/vectorclass). It includes many functions including a complete math library. If you have existing code using x86/NEON intrinsics, you may be interested in [SIMDe](https://github.com/simd-everywhere/simde), which emulates those intrinsics using other platforms' intrinsics or autovectorization. ## Installation This project uses CMake to generate and build. In a Debian-based system you can install it via: ```bash sudo apt install cmake ``` Highway's unit tests use [googletest](https://github.com/google/googletest). By default, Highway's CMake downloads this dependency at configuration time. You can avoid this by setting the `HWY_SYSTEM_GTEST` CMake variable to ON and installing gtest separately: ```bash sudo apt install libgtest-dev ``` Alternatively, you can define `HWY_TEST_STANDALONE=1` and remove all occurrences of `gtest_main` in each BUILD file, then tests avoid the dependency on GUnit. Running cross-compiled tests requires support from the OS, which on Debian is provided by the `qemu-user-binfmt` package. To build Highway as a shared or static library (depending on BUILD_SHARED_LIBS), the standard CMake workflow can be used: ```bash mkdir -p build && cd build cmake .. make -j && make test ``` Or you can run `run_tests.sh` (`run_tests.bat` on Windows). Bazel is also supported for building, but it is not as widely used/tested. When building for Armv7, a limitation of current compilers requires you to add `-DHWY_CMAKE_ARM7:BOOL=ON` to the CMake command line; see #834 and #1032. We understand that work is underway to remove this limitation. Building on 32-bit x86 is not officially supported, and AVX2/3 are disabled by default there. Note that johnplatts has successfully built and run the Highway tests on 32-bit x86, including AVX2/3, on GCC 7/8 and Clang 8/11/12. On Ubuntu 22.04, Clang 11 and 12, but not later versions, require extra compiler flags `-m32 -isystem /usr/i686-linux-gnu/include`. Clang 10 and earlier require the above plus `-isystem /usr/i686-linux-gnu/include/c++/12/i686-linux-gnu`. See #1279. ## Building highway - Using vcpkg highway is now available in [vcpkg](https://github.com/Microsoft/vcpkg) ```bash vcpkg install highway ``` The highway port in vcpkg is kept up to date by Microsoft team members and community contributors. If the version is out of date, please [create an issue or pull request](https://github.com/Microsoft/vcpkg) on the vcpkg repository. ## Quick start You can use the `benchmark` inside examples/ as a starting point. A [quick-reference page](g3doc/quick_reference.md) briefly lists all operations and their parameters, and the [instruction_matrix](g3doc/instruction_matrix.pdf) indicates the number of instructions per operation. The [FAQ](g3doc/faq.md) answers questions about portability, API design and where to find more information. We recommend using full SIMD vectors whenever possible for maximum performance portability. To obtain them, pass a `ScalableTag` (or equivalently `HWY_FULL(float)`) tag to functions such as `Zero/Set/Load`. There are two alternatives for use-cases requiring an upper bound on the lanes: - For up to `N` lanes, specify `CappedTag` or the equivalent `HWY_CAPPED(T, N)`. The actual number of lanes will be `N` rounded down to the nearest power of two, such as 4 if `N` is 5, or 8 if `N` is 8. This is useful for data structures such as a narrow matrix. A loop is still required because vectors may actually have fewer than `N` lanes. - For exactly a power of two `N` lanes, specify `FixedTag`. The largest supported `N` depends on the target, but is guaranteed to be at least `16/sizeof(T)`. Due to ADL restrictions, user code calling Highway ops must either: * Reside inside `namespace hwy { namespace HWY_NAMESPACE {`; or * prefix each op with an alias such as `namespace hn = hwy::HWY_NAMESPACE; hn::Add()`; or * add using-declarations for each op used: `using hwy::HWY_NAMESPACE::Add;`. Additionally, each function that calls Highway ops (such as `Load`) must either be prefixed with `HWY_ATTR`, OR reside between `HWY_BEFORE_NAMESPACE()` and `HWY_AFTER_NAMESPACE()`. Lambda functions currently require `HWY_ATTR` before their opening brace. Do not use namespace-scope nor `static` initializers for SIMD vectors because this can cause SIGILL when using runtime dispatch and the compiler chooses an initializer compiled for a target not supported by the current CPU. Instead, constants initialized via `Set` should generally be local (const) variables. The entry points into code using Highway differ slightly depending on whether they use static or dynamic dispatch. In both cases, we recommend that the top-level function receives one or more pointers to arrays, rather than target-specific vector types. * For static dispatch, `HWY_TARGET` will be the best available target among `HWY_BASELINE_TARGETS`, i.e. those allowed for use by the compiler (see [quick-reference](g3doc/quick_reference.md)). Functions inside `HWY_NAMESPACE` can be called using `HWY_STATIC_DISPATCH(func)(args)` within the same module they are defined in. You can call the function from other modules by wrapping it in a regular function and declaring the regular function in a header. * For dynamic dispatch, a table of function pointers is generated via the `HWY_EXPORT` macro that is used by `HWY_DYNAMIC_DISPATCH(func)(args)` to call the best function pointer for the current CPU's supported targets. A module is automatically compiled for each target in `HWY_TARGETS` (see [quick-reference](g3doc/quick_reference.md)) if `HWY_TARGET_INCLUDE` is defined and `foreach_target.h` is included. Note that the first invocation of `HWY_DYNAMIC_DISPATCH`, or each call to the pointer returned by the first invocation of `HWY_DYNAMIC_POINTER`, involves some CPU detection overhead. You can prevent this by calling the following before any invocation of `HWY_DYNAMIC_*`: `hwy::GetChosenTarget().Update(hwy::SupportedTargets());`. See also a separate [introduction to dynamic dispatch](https://github.com/kfjahnke/zimt/blob/multi_isa/examples/multi_isa_example/multi_simd_isa.md) by @kfjahnke. When using dynamic dispatch, `foreach_target.h` is included from translation units (.cc files), not headers. Headers containing vector code shared between several translation units require a special include guard, for example the following taken from `examples/skeleton-inl.h`: ``` #if defined(HIGHWAY_HWY_EXAMPLES_SKELETON_INL_H_) == defined(HWY_TARGET_TOGGLE) #ifdef HIGHWAY_HWY_EXAMPLES_SKELETON_INL_H_ #undef HIGHWAY_HWY_EXAMPLES_SKELETON_INL_H_ #else #define HIGHWAY_HWY_EXAMPLES_SKELETON_INL_H_ #endif #include "hwy/highway.h" // Your vector code #endif ``` By convention, we name such headers `-inl.h` because their contents (often function templates) are usually inlined. ## Compiler flags Applications should be compiled with optimizations enabled. Without inlining SIMD code may slow down by factors of 10 to 100. For clang and GCC, `-O2` is generally sufficient. For MSVC, we recommend compiling with `/Gv` to allow non-inlined functions to pass vector arguments in registers. If intending to use the AVX2 target together with half-width vectors (e.g. for `PromoteTo`), it is also important to compile with `/arch:AVX2`. This seems to be the only way to reliably generate VEX-encoded SSE instructions on MSVC. Sometimes MSVC generates VEX-encoded SSE instructions, if they are mixed with AVX, but not always, see [DevCom-10618264](https://developercommunity.visualstudio.com/t/10618264). Otherwise, mixing VEX-encoded AVX2 instructions and non-VEX SSE may cause severe performance degradation. Unfortunately, with `/arch:AVX2` option, the resulting binary will then require AVX2. Note that no such flag is needed for clang and GCC because they support target-specific attributes, which we use to ensure proper VEX code generation for AVX2 targets. ## Strip-mining loops When vectorizing a loop, an important question is whether and how to deal with a number of iterations ('trip count', denoted `count`) that does not evenly divide the vector size `N = Lanes(d)`. For example, it may be necessary to avoid writing past the end of an array. In this section, let `T` denote the element type and `d = ScalableTag`. Assume the loop body is given as a function `template void LoopBody(D d, size_t index, size_t max_n)`. "Strip-mining" is a technique for vectorizing a loop by transforming it into an outer loop and inner loop, such that the number of iterations in the inner loop matches the vector width. Then, the inner loop is replaced with vector operations. Highway offers several strategies for loop vectorization: * Ensure all inputs/outputs are padded. Then the (outer) loop is simply ``` for (size_t i = 0; i < count; i += N) LoopBody(d, i, 0); ``` Here, the template parameter and second function argument are not needed. This is the preferred option, unless `N` is in the thousands and vector operations are pipelined with long latencies. This was the case for supercomputers in the 90s, but nowadays ALUs are cheap and we see most implementations split vectors into 1, 2 or 4 parts, so there is little cost to processing entire vectors even if we do not need all their lanes. Indeed this avoids the (potentially large) cost of predication or partial loads/stores on older targets, and does not duplicate code. * Process whole vectors and include previously processed elements in the last vector: ``` for (size_t i = 0; i < count; i += N) LoopBody(d, HWY_MIN(i, count - N), 0); ``` This is the second preferred option provided that `count >= N` and `LoopBody` is idempotent. Some elements might be processed twice, but a single code path and full vectorization is usually worth it. Even if `count < N`, it usually makes sense to pad inputs/outputs up to `N`. * Use the `Transform*` functions in hwy/contrib/algo/transform-inl.h. This takes care of the loop and remainder handling and you simply define a generic lambda function (C++14) or functor which receives the current vector from the input/output array, plus optionally vectors from up to two extra input arrays, and returns the value to write to the input/output array. Here is an example implementing the BLAS function SAXPY (`alpha * x + y`): ``` Transform1(d, x, n, y, [](auto d, const auto v, const auto v1) HWY_ATTR { return MulAdd(Set(d, alpha), v, v1); }); ``` * Process whole vectors as above, followed by a scalar loop: ``` size_t i = 0; for (; i + N <= count; i += N) LoopBody(d, i, 0); for (; i < count; ++i) LoopBody(CappedTag(), i, 0); ``` The template parameter and second function arguments are again not needed. This avoids duplicating code, and is reasonable if `count` is large. If `count` is small, the second loop may be slower than the next option. * Process whole vectors as above, followed by a single call to a modified `LoopBody` with masking: ``` size_t i = 0; for (; i + N <= count; i += N) { LoopBody(d, i, 0); } if (i < count) { LoopBody(d, i, count - i); } ``` Now the template parameter and third function argument can be used inside `LoopBody` to non-atomically 'blend' the first `num_remaining` lanes of `v` with the previous contents of memory at subsequent locations: `BlendedStore(v, FirstN(d, num_remaining), d, pointer);`. Similarly, `MaskedLoad(FirstN(d, num_remaining), d, pointer)` loads the first `num_remaining` elements and returns zero in other lanes. This is a good default when it is infeasible to ensure vectors are padded, but is only safe `#if !HWY_MEM_OPS_MIGHT_FAULT`! In contrast to the scalar loop, only a single final iteration is needed. The increased code size from two loop bodies is expected to be worthwhile because it avoids the cost of masking in all but the final iteration. ## Additional resources * [Highway introduction (slides)](g3doc/highway_intro.pdf) * [Overview of instructions per operation on different architectures](g3doc/instruction_matrix.pdf) * [Design philosophy and comparison](g3doc/design_philosophy.md) * [Implementation details](g3doc/impl_details.md) ## Acknowledgments We have used [farm-sve](https://gitlab.inria.fr/bramas/farm-sve) by Berenger Bramas; it has proved useful for checking the SVE port on an x86 development machine. This is not an officially supported Google product. Contact: janwas@google.com highway-1.3.0/WORKSPACE000066400000000000000000000031621504730760100144410ustar00rootroot00000000000000workspace(name = "highway") load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") load("@bazel_tools//tools/build_defs/repo:utils.bzl", "maybe") # Bazel platform rules. maybe( http_archive, name = "platforms", urls = [ "https://github.com/bazelbuild/platforms/releases/download/0.0.7/platforms-0.0.7.tar.gz", ], sha256 = "3a561c99e7bdbe9173aa653fd579fe849f1d8d67395780ab4770b1f381431d51", ) maybe( http_archive, name = "com_google_googletest", urls = ["https://github.com/google/googletest/archive/e2239ee6043f73722e7aa812a459f54a28552929.zip"], sha256 = "8daa1a71395892f7c1ec5f7cb5b099a02e606be720d62f1a6a98f8f8898ec826", strip_prefix = "googletest-e2239ee6043f73722e7aa812a459f54a28552929", ) # See https://google.github.io/googletest/quickstart-bazel.html maybe( http_archive, name = "rules_cc", urls = ["https://github.com/bazelbuild/rules_cc/releases/download/0.0.9/rules_cc-0.0.9.tar.gz"], sha256 = "2037875b9a4456dce4a79d112a8ae885bbc4aad968e6587dca6e64f3a0900cdf", strip_prefix = "rules_cc-0.0.9", ) # Need recent version for config_setting_group maybe( http_archive, name = "bazel_skylib", urls = ["https://github.com/bazelbuild/bazel-skylib/releases/download/0.9.0/bazel_skylib-0.9.0.tar.gz"], sha256 = "1dde365491125a3db70731e25658dfdd3bc5dbdfd11b840b3e987ecf043c7ca0", ) maybe( http_archive, name = "rules_license", urls = [ "https://github.com/bazelbuild/rules_license/releases/download/0.0.7/rules_license-0.0.7.tar.gz", ], sha256 = "4531deccb913639c30e5c7512a054d5d875698daeb75d8cf90f284375fe7c360", ) highway-1.3.0/cmake/000077500000000000000000000000001504730760100142365ustar00rootroot00000000000000highway-1.3.0/cmake/FindAtomics.cmake000066400000000000000000000034201504730760100174370ustar00rootroot00000000000000# Original issue: # * https://gitlab.kitware.com/cmake/cmake/-/issues/23021#note_1098733 # # For reference: # * https://gcc.gnu.org/wiki/Atomic/GCCMM # # riscv64 specific: # * https://lists.debian.org/debian-riscv/2022/01/msg00009.html # # ATOMICS_FOUND - system has c++ atomics # ATOMICS_LIBRARIES - libraries needed to use c++ atomics include(CheckCXXSourceCompiles) # RISC-V only has 32-bit and 64-bit atomic instructions. GCC is supposed # to convert smaller atomics to those larger ones via masking and # shifting like LLVM, but it’s a known bug that it does not. This means # anything that wants to use atomics on 1-byte or 2-byte types needs # -latomic, but not 4-byte or 8-byte (though it does no harm). set(atomic_code " #include #include std::atomic n8 (0); // riscv64 std::atomic n64 (0); // armel, mipsel, powerpc int main() { ++n8; ++n64; return 0; }") # https://gitlab.kitware.com/cmake/cmake/-/issues/24063 set(CMAKE_CXX_STANDARD 11) check_cxx_source_compiles("${atomic_code}" ATOMICS_LOCK_FREE_INSTRUCTIONS) if(ATOMICS_LOCK_FREE_INSTRUCTIONS) set(ATOMICS_FOUND TRUE) set(ATOMICS_LIBRARIES) else() set(CMAKE_REQUIRED_LIBRARIES "-latomic") check_cxx_source_compiles("${atomic_code}" ATOMICS_IN_LIBRARY) set(CMAKE_REQUIRED_LIBRARIES) if(ATOMICS_IN_LIBRARY) set(ATOMICS_LIBRARY atomic) include(FindPackageHandleStandardArgs) find_package_handle_standard_args(Atomics DEFAULT_MSG ATOMICS_LIBRARY) set(ATOMICS_LIBRARIES ${ATOMICS_LIBRARY}) unset(ATOMICS_LIBRARY) else() if(Atomics_FIND_REQUIRED) message(FATAL_ERROR "Neither lock free instructions nor -latomic found.") endif() endif() endif() unset(atomic_code) unset(CMAKE_CXX_STANDARD) highway-1.3.0/debian/000077500000000000000000000000001504730760100144005ustar00rootroot00000000000000highway-1.3.0/debian/changelog000066400000000000000000000330231504730760100162530ustar00rootroot00000000000000highway (1.3.0-1) UNRELEASED; urgency=medium Add: - AddLower, PairwiseAdd/Sub, MaskedAbsOr, BitsFromMask - AVX10_2 and Loongson LASX/LSX targets - AVX3_SPR F16, WASM_EMU256 F64 types - CeilInt/FloorInt, DemoteToNearestInt and F16/F64 NearestInt - Complex number operations, F16/BF16 assignment operators - emulated bf16/f16 Load/StoreInterleaved - hwy::Warn/HWY_WARN, use instead of fprintf - HWY_UNREACHABLE, HWY_VISIT_TARGETS - i16 Dot, AverageRound, RoundingShiftRight/RoundingShr - InterleaveEvenBlocks/InterleaveOddBlocks, MinMagnitude/MaxMagnitude - masked comparisons, promote, round, GetBiasedExponent - MulByPow2/MulByFloorPow2, MulRound, MulLower/MulAddLower - PositiveInfOrHighestValue/NegativeInfOrLowestValue - RVV groundwork for runtime dispatch, enable tuples - spin wait, NanoSleep, Counter2/4 barrier, Divisor64, perf_counters Improvements: - dpbf16 WidenMulPairwiseAdd Exp2, AVX10.2 float->int, AVX3 GetExponent - header-only abort.h/cc, tests runnable with Bazel8 - HWY_BROKEN_*: allow individual override - Lanes: 'optional constexpr', AllBits1 - MaskedEq/Ne, NEON SumOfMulQuadAccumulate, MaskedReduceMin/Max, MulEven - RVV various ops via superoptimizer - SetThreadName: support more systems - SVE2 SatWidenMulPairwiseAccumulate, SSE2/SSSE3 U16 Min/Max - TargetName: no longer returns unknown for other arch - ThreadPool autotune, avoid WakeAll - topology: add NUMA node, support Windows/Apple Fixes: - avoid wraparound for -ftrapv, topology for offline CPUs/RVV - warnings from -Wmissing-declarations/prototypes - AdvSIMD_HPFPCvt on OSX - f32->bf16 rounding: avoid unspecified built-in cast - MSAN, PPC InvariantTicksPerSecond on QEMU, HWY_RCAST_ALIGNED, IsNaN - vqsort for ascending order, add 8-bit test Thanks to all contributors, especially johnplatts and eustas! -- Jan Wassenberg Fri, 11 Jun 2025 18:00:00 +0200 highway (1.2.0-1) UNRELEASED; urgency=medium * Add InterleaveEven/InterleaveOdd, BitShuffle, GatherIndexNOr * Add IsNegative, IfNegativeThenElseZero, IfNegativeThenZeroElse * Add NEON_BF16 target, HWY_VERSION_GE/LT, HWY_EXPORT_T/HWY_DYNAMIC_DISPATCH_T * Add PromoteInRangeTo/ConvertInRangeTo/DemoteInRangeTo * Add Rol/Ror, RotateLeft/RotateLeftSame/RotateRightSame * Add SatWidenMulPairwiseAccumulate, SatWidenMulAccumFixedPoint * Add stats.h, bit_set.h, IsEitherNaN * Add UI8/UI32/UI64 MulHigh, I64 MulEven/MulOdd/Mul128 * Add WidenMulAccumulate, MulEvenAdd, MulOddAdd * contrib/bit_pack: support 32/64-bit lanes * contrib/math: Add Exp2, Hypot * contrib/matvec: Add MatVecAdd * contrib/sort: Add VQ/HeapSelect, partial sort * contrib/topology: add affinity, detect topology/cache size/CPU name * Enable runtime dispatch for NEON/RVV, bazel modules, abort handler * Remove DASSERT for negative Gather indices * Support opting out of GUnit dependency * Use SPR/ZEN4 bf16 dot product -- Jan Wassenberg Mon, 13 May 2024 16:00:00 +0200 highway (1.1.0-1) UNRELEASED; urgency=medium * Add BitCastScalar, DispatchedTarget, Foreach * Add Div/Mod and MaskedDiv/ModOr, SaturatedAbs, SaturatedNeg * Add InterleaveWholeLower/Upper, Dup128VecFromValues * Add IsInteger, IsIntegerLaneType, RemoveVolatile, RemoveCvRef * Add MaskedAdd/Sub/Mul/Div/Gather/Min/Max/SatAdd/SatSubOr * Add MaskFalse, IfNegativeThenNegOrUndefIfZero, PromoteEven/OddTo * Add ReduceMin/Max, 8-bit reductions, f16 <-> f64 conversions * Add Span, AlignedArray, matrix-vector mul * Add SumsOf2/4, I8 SumsOf8, SumsOfAdjQuadAbsDiff, SumsOfShuffledQuadAbsDiff * Add ThreadPool, hierarchical profiler * Build: use bazel_platforms * Enable clang16 Arm/PPC runtime dispatch, F16 for GCC AVX3_SPR * Extend Dot to f32*bf16, FMA to integer * Fix: RVV 8-bit overflow, UB in vqsort, big-endian bugs, PPC HTM * Improved codegen in various ops, fp16/bf16 tests and conversions * New targets: HWY_Z14, HWY_Z15 * Test: add foreign_arch builders, CodeQL -- Jan Wassenberg Sat, 17 Feb 2024 12:00:00 +0100 highway (1.0.7-1) UNRELEASED; urgency=medium * Add LoadNOr, GatherIndexN, ScatterIndexN * Add additional float<->int conversions * Codegen improvements for 8-bit shift, PPC Compress/Expand * Fixes for MSVC, PPC, RVV, WASM, GCC 13, GCC 8.2, i686, f16 type, QEMU 7.2 * Support CMake args in Debian packaging -- Jan Wassenberg Tue, 29 Aug 2023 19:00:00 +0200 highway (1.0.6-1) UNRELEASED; urgency=medium * Add MaskedGatherIndex, MaskedScatterIndex, LoadN, StoreN * Add SatWidenMulPairwiseAdd, SumOfMulQuadAccumulate, PromoteUpperLowerTo * Add F64 for Wasm, F64 AbsDiff * Add F16 support to AVX3_SPR, RVV tuple (both not yet enabled) * Validate all D args in x86 function signatures * License: now dual Apache2/BSD3 * Doc: new users, vcpkg install instructions, AVX10 plans * Doc: advice on dynamic dispatch plus -march flags * Build: avoid installing hwy_test if !HWY_ENABLE_TESTS * Codegen: improved PPC9 Find*True, variable-length CopyBytes * Fix: GCC 8.2, MSVC, ICC, PPC9, SVE, arm64 MSVC issues * Fix: IfNegativeThenElse, MulFixedPoint15, Debian changelog format * Tests: faster builds (split up), use release builds -- Jan Wassenberg Fri, 11 Aug 2023 14:00:00 +0200 highway (1.0.5-1) UNRELEASED; urgency=medium * Add Insert/ExtractBlock, BroadcastBlock/Lane, NumBlocks * Add integer Le/Ge and [Neg]MulAdd, extend DemoteTo/PromoteTo * Add Leading/TrailingZeroCount, HighestSetBitIndex, ReverseBits * Add MaskedLoadOr, tuple Get/Set/Create, ReduceSum, WidenMulPairwiseAdd * Add [ZeroExtend]ResizeBitCast, BitwiseIfThenElse, Find[Known]LastTrue * Add AESRoundInv, AESKeyGenAssist * Add contrib/math Atan2/SinCos, contrib/unroller * Add fp16/bf16 support (Armv8, SVE, RVV), HWY_DYNAMIC_POINTER * Add OrderedTruncate2To, Per4LaneBlockShuffle, TwoTablesLookupLanes * Add SlideUp/Down[Blocks/Lanes], Slide1Up/Down, ReverseLaneBytes * Add SetBeforeFirst, SetAtOrBefore/AfterFirst, SetOnlyFirst * Add 8-bit Reverse2/4/8, Shl/Shr, RotateRight, Reverse, Mul * Add 8/16-bit DupEven/Odd, TableLookupLanes * Add F64 ApproximateReciprocal[Sqrt], 32/64-bit SaturatedAdd/Sub * Build: Support Bazel modules * Codegen improvements * Compiler: support Clang 15/16 * Doc: add Github pages, support policy, evaluation * Doc: publish AVX-512 throttling/startup findings * Release: add signing * Test: add GCC to Github Actions * VQSort: small N speedups: fix seeding, func ptr, 8-wide network. * VQSort: add BenchAllColdSort, VQSortStatic * VQSort: fix subnormal/inf/NaN, support fp16, fix KV types * Workarounds: RVV VXRM, x87 excess precision, missing intrinsics -- Jan Wassenberg Wed, 19 Jul 2023 15:00:00 +0200 highway (1.0.4-1) UNRELEASED; urgency=medium * Add PPC8..10, SSE2, AVX3_ZEN4, NEON_WITHOUT_AES targets * Add Expand, LoadExpand, integer AbsDiff, SumsOf8AbsDiff * Improved Half/Twice support, codegen for Shift*Same * Support Wasm in Godbolt * Faster KV128 sorting * Fix armv7 build config, CMake config mode * Update RVV intrinsics for 1.0-draft -- Jan Wassenberg Fri, 17 Mar 2023 15:00:00 +0200 highway (1.0.3-1) UNRELEASED; urgency=medium * Add RearrangeToOddPlusEven, Xor3, 8-bit CompressStore, HWY_ASSUME * Add contrib/bit_pack for 8/16-bit lanes * Add WASM_EMU256 target * Documentation improvements * Allow opting out of C++ stdlib usage for Compiler Explorer * Update for new RVV intrinsics; faster WASM min/max and extmul/q15mul * Fix UB, GCC atomic -- Jan Wassenberg Thu, 19 Jan 2023 13:00:00 +0200 highway (1.0.2-1) UNRELEASED; urgency=medium * Add ExclusiveNeither, FindKnownFirstTrue, Ne128 * Add 16-bit SumOfLanes/ReorderWidenMulAccumulate/ReorderDemote2To * Faster sort for low-entropy input, improved pivot selection * Add GN build system, Highway FAQ, k32v32 type to vqsort * CMake: Support find_package(GTest), add rvv-inl.h, add HWY_ENABLE_TESTS * Fix MIPS and C++20 build, Apple LLVM 10.3 detection, EMU128 AllTrue on RVV * Fix missing exec_prefix, RVV build, warnings, libatomic linking * Work around GCC 10.4 issue, disabled RDCYCLE, arm7 with vfpv3 * Documentation/example improvements * Support static dispatch to SVE2_128 and SVE_256 -- Jan Wassenberg Thu, 27 Oct 2022 17:00:00 +0200 highway (1.0.1-1) UNRELEASED; urgency=medium * Add Eq128, i64 Mul, unsigned->float ConvertTo * Faster sort for few unique keys, more robust pivot selection * Fix: floating-point generator for sort tests, Min/MaxOfLanes for i16 * Fix: avoid always_inline in debug, link atomic * GCC warnings: string.h, maybe-uninitialized, ignored-attributes * GCC warnings: preprocessor int overflow, spurious use-after-free/overflow * Doc: <=HWY_AVX3, Full32/64/128, how to use generic-inl -- Jan Wassenberg Tue, 23 Aug 2022 10:00:00 +0200 highway (1.0.0-1) UNRELEASED; urgency=medium * ABI change: 64-bit target values, more room for expansion * Add CompressBlocksNot, CompressNot, Lt128Upper, Min/Max128Upper, TruncateTo * Add HWY_SVE2_128 target * Sort speedups especially for 128-bit * Documentation clarifications * Faster NEON CountTrue/FindFirstTrue/AllFalse/AllTrue * Improved SVE codegen * Fix u16x8 ConcatEven/Odd, SSSE3 i64 Lt * MSVC 2017 workarounds * Support for runtime dispatch on Arm/GCC/Linux -- Jan Wassenberg Wed, 27 Jul 2022 10:00:00 +0200 highway (0.17.0-1) UNRELEASED; urgency=medium * Add ExtractLane, InsertLane, IsInf, IsFinite, IsNaN * Add StoreInterleaved2, LoadInterleaved2/3/4, BlendedStore, SafeFillN * Add MulFixedPoint15, Or3 * Add Copy[If], Find[If], Generate, Replace[If] algos * Add HWY_EMU128 target (replaces HWY_SCALAR) * HWY_RVV is feature-complete * Add HWY_ENABLE_CONTRIB build flag, HWY_NATIVE_FMA, HWY_WANT_SSSE3/SSE4 macros * Extend ConcatOdd/Even and StoreInterleaved* to all types * Allow CappedTag * Sort speedups: 2x for AVX2, 1.09x for AVX3; avoid x86 malloc * Expand documentation * Fix RDTSCP crash in nanobenchmark * Fix XCR0 check (was ignoring AVX3 on ICL) * Support Arm/RISC-V timers -- Jan Wassenberg Fri, 20 May 2022 10:00:00 +0200 highway (0.16.0-1) UNRELEASED; urgency=medium * Add contrib/sort (vectorized quicksort) * Add IfNegativeThenElse, IfVecThenElse * Add Reverse2,4,8, ReverseBlocks, DupEven/Odd, AESLastRound * Add OrAnd, Min128, Max128, Lt128, SumsOf8 * Support capped/partial vectors on RVV/SVE, int64 in WASM * Support SVE2, shared library build * Remove deprecated overloads without the required d arg (UpperHalf etc.) -- Jan Wassenberg Thu, 03 Feb 2022 11:00:00 +0100 highway (0.15.0-1) UNRELEASED; urgency=medium * New ops: CompressBlendedStore, ConcatOdd/Even, IndicesFromVec * New ops: OddEvenBlocks, SwapAdjacentBlocks, Reverse, RotateRight * Add bf16, unsigned comparisons, more lane types for Reverse/TableLookupLanes * Contrib: add sort(ing network) and dot(product) * Targets: update RVV for LLVM, add experimental WASM2 * Separate library hwy_test for test utils * Add non-macro Simd<> aliases * Fixes: const V& for GCC, AVX3 BZHI, POPCNT with AVX on MSVC, avoid %zu -- Jan Wassenberg Wed, 10 Nov 2021 10:00:00 +0100 highway (0.14.2-1) UNRELEASED; urgency=medium * Add MaskedLoad * Fix non-glibc PPC, Windows GCC, MSVC 19.14 * Opt-in for -Werror; separate design_philosophy.md -- Jan Wassenberg Tue, 24 Aug 2021 15:00:00 +0200 highway (0.14.1-1) UNRELEASED; urgency=medium * Add LoadMaskBits, CompressBits[Store] * Fix CPU feature check (AES/F16C) and warnings * Improved DASSERT - disabled in optimized builds -- Jan Wassenberg Tue, 17 Aug 2021 14:00:00 +0200 highway (0.14.0-1) UNRELEASED; urgency=medium * Add SVE, S-SSE3, AVX3_DL targets * Support partial vectors in all ops * Add PopulationCount, FindFirstTrue, Ne, TableLookupBytesOr0 * Add AESRound, CLMul, MulOdd, HWY_CAP_FLOAT16 -- Jan Wassenberg Thu, 29 Jul 2021 15:00:00 +0200 highway (0.12.2-1) UNRELEASED; urgency=medium * fix scalar-only test and Windows macro conflict with Load/StoreFence * replace deprecated wasm intrinsics -- Jan Wassenberg Mon, 31 May 2021 16:00:00 +0200 highway (0.12.1-1) UNRELEASED; urgency=medium * doc updates, ARM GCC support, fix s390/ppc, complete partial vectors * fix warnings, faster ARM div/sqrt, separate hwy_contrib library * add Abs(i64)/FirstN/Pause, enable AVX2 on MSVC -- Jan Wassenberg Wed, 19 May 2021 15:00:00 +0200 highway (0.12.0-1) UNRELEASED; urgency=medium * Add Shift*8, Compress16, emulated Scatter/Gather, StoreInterleaved3/4 * Remove deprecated HWY_*_LANES, deprecate HWY_GATHER_LANES * Proper IEEE rounding, reduce libstdc++ usage, inlined math -- Jan Wassenberg Thu, 15 Apr 2021 20:00:00 +0200 highway (0.11.1-1) UNRELEASED; urgency=medium * Fix clang7 asan error, finish f16 conversions and add test -- Jan Wassenberg Thu, 25 Feb 2021 16:00:00 +0200 highway (0.11.0-1) UNRELEASED; urgency=medium * Add RVV+mask logical ops, allow Shl/ShiftLeftSame on all targets, more math -- Jan Wassenberg Thu, 18 Feb 2021 20:00:00 +0200 highway (0.7.0-1) UNRELEASED; urgency=medium * Added API stability notice, Compress[Store], contrib/, SignBit, CopySign -- Jan Wassenberg Tue, 5 Jan 2021 17:00:00 +0200 highway (0.1-1) UNRELEASED; urgency=medium * Initial debian package. -- Alex Deymo Mon, 19 Oct 2020 16:48:07 +0200 highway-1.3.0/debian/compat000066400000000000000000000000031504730760100155770ustar00rootroot0000000000000010 highway-1.3.0/debian/control000066400000000000000000000014641504730760100160100ustar00rootroot00000000000000Source: highway Maintainer: JPEG XL Maintainers Section: misc Priority: optional Standards-Version: 3.9.8 Build-Depends: cmake, debhelper (>= 9), libgtest-dev Homepage: https://github.com/google/highway Package: libhwy-dev Architecture: any Section: libdevel Depends: ${misc:Depends} Description: Efficient and performance-portable SIMD wrapper (developer files) This library provides type-safe and source-code portable wrappers over existing platform-specific intrinsics. Its design aims for simplicity, reliable efficiency across platforms, and immediate usability with current compilers. . This package installs the development files. There's no runtime library since most of Highway is implemented in headers and only a very small static library is needed. highway-1.3.0/debian/copyright000066400000000000000000000014711504730760100163360ustar00rootroot00000000000000Format: https://www.debian.org/doc/packaging-manuals/copyright-format/1.0/ Upstream-Name: highway Files: * Copyright: 2020 Google LLC License: Apache-2.0 Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at . http://www.apache.org/licenses/LICENSE-2.0 . Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. . On Debian systems, the complete text of the Apache License, Version 2 can be found in "/usr/share/common-licenses/Apache-2.0". highway-1.3.0/debian/rules000077500000000000000000000004111504730760100154540ustar00rootroot00000000000000#!/usr/bin/make -f # This variable could be set via --set-envvar=HWY_EXTRA_CONFIG= # Safeguard: turn undefined to empty HWY_EXTRA_CONFIG ?= %: dh $@ --buildsystem=cmake override_dh_auto_configure: dh_auto_configure -- -DHWY_SYSTEM_GTEST=ON $(HWY_EXTRA_CONFIG) highway-1.3.0/debian/source/000077500000000000000000000000001504730760100157005ustar00rootroot00000000000000highway-1.3.0/debian/source/format000066400000000000000000000000141504730760100171060ustar00rootroot000000000000003.0 (quilt) highway-1.3.0/docs/000077500000000000000000000000001504730760100141065ustar00rootroot00000000000000highway-1.3.0/docs/.gitignore000066400000000000000000000000301504730760100160670ustar00rootroot00000000000000*.swp /_build /doctrees highway-1.3.0/docs/Makefile000066400000000000000000000011721504730760100155470ustar00rootroot00000000000000# Minimal makefile for Sphinx documentation # # You can set these variables from the command line, and also # from the environment for the first two. SPHINXOPTS ?= SPHINXBUILD ?= sphinx-build SOURCEDIR = . BUILDDIR = _build # Put it first so that "make" without argument is like "make help". help: @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) .PHONY: help Makefile # Catch-all target: route all unknown targets to Sphinx using the new # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) highway-1.3.0/docs/_static/000077500000000000000000000000001504730760100155345ustar00rootroot00000000000000highway-1.3.0/docs/_static/css/000077500000000000000000000000001504730760100163245ustar00rootroot00000000000000highway-1.3.0/docs/_static/css/dark.css000066400000000000000000000145631504730760100177700ustar00rootroot00000000000000/* links */ a, a:visited { color: #aaddff; } /* code directives */ .method dt, .class dt, .data dt, .attribute dt, .function dt, .classmethod dt, .exception dt, .descclassname, .descname { background-color: #2d2d2d !important; } .rst-content dl:not(.docutils) dt { color: #aaddff; background-color: #2d2d2d; border-top: solid 3px #525252; border-left: solid 3px #525252; } em.property { color: #888888; } /* tables */ .rst-content table.docutils thead { color: #ddd; } .rst-content table.docutils td { border: 0px; } .rst-content table.docutils:not(.field-list) tr:nth-child(2n-1) td { background-color: #5a5a5a; } /* inlined code highlights */ .xref, .py-meth, .rst-content a code { color: #aaddff !important; font-weight: normal !important; } .rst-content code { color: #eee !important; font-weight: normal !important; } code.literal { background-color: #2d2d2d !important; border: 1px solid #6d6d6d !important; } code.docutils.literal.notranslate { color: #ddd; } /* notes, warnings, hints */ .hint .admonition-title { background: #2aa87c !important; } .warning .admonition-title { background: #cc4444 !important; } .admonition-title { background: #3a7ca8 !important; } .admonition, .note { background-color: #2d2d2d !important; } /* table of contents */ .wy-nav-content-wrap { background-color: rgba(0, 0, 0, 0.6) !important; } .sidebar { background-color: #191919 !important; } .sidebar-title { background-color: #2b2b2b !important; } .wy-menu-vertical a { color: #ddd; } .wy-menu-vertical code.docutils.literal.notranslate { color: #404040; background: none !important; border: none !important; } .wy-nav-content { background: #3c3c3c; color: #dddddd; } .wy-menu-vertical li.on a, .wy-menu-vertical li.current>a { background: #a3a3a3; border-bottom: 0px !important; border-top: 0px !important; } .wy-menu-vertical li.current { background: #b3b3b3; } .toc-backref { color: grey !important; } .highlight .hll { background-color: #49483e } .highlight { background: #222; color: #f8f8f2 } .highlight .c { color: #888 } /* Comment */ .highlight .err { color: #960050; background-color: #1e0010 } /* Error */ .highlight .k { color: #66d9ef } /* Keyword */ .highlight .l { color: #ae81ff } /* Literal */ .highlight .n { color: #f8f8f2 } /* Name */ .highlight .o { color: #f92672 } /* Operator */ .highlight .p { color: #f8f8f2 } /* Punctuation */ .highlight .ch { color: #888 } /* Comment.Hashbang */ .highlight .cm { color: #888 } /* Comment.Multiline */ .highlight .cp { color: #888 } /* Comment.Preproc */ .highlight .cpf { color: #888 } /* Comment.PreprocFile */ .highlight .c1 { color: #888 } /* Comment.Single */ .highlight .cs { color: #888 } /* Comment.Special */ .highlight .gd { color: #f92672 } /* Generic.Deleted */ .highlight .ge { font-style: italic } /* Generic.Emph */ .highlight .gi { color: #a6e22e } /* Generic.Inserted */ .highlight .gs { font-weight: bold } /* Generic.Strong */ .highlight .gu { color: #888 } /* Generic.Subheading */ .highlight .kc { color: #66d9ef } /* Keyword.Constant */ .highlight .kd { color: #66d9ef } /* Keyword.Declaration */ .highlight .kn { color: #f92672 } /* Keyword.Namespace */ .highlight .kp { color: #66d9ef } /* Keyword.Pseudo */ .highlight .kr { color: #66d9ef } /* Keyword.Reserved */ .highlight .kt { color: #66d9ef } /* Keyword.Type */ .highlight .ld { color: #e6db74 } /* Literal.Date */ .highlight .m { color: #ae81ff } /* Literal.Number */ .highlight .s { color: #e6db74 } /* Literal.String */ .highlight .na { color: #a6e22e } /* Name.Attribute */ .highlight .nb { color: #f8f8f2 } /* Name.Builtin */ .highlight .nc { color: #a6e22e } /* Name.Class */ .highlight .no { color: #66d9ef } /* Name.Constant */ .highlight .nd { color: #a6e22e } /* Name.Decorator */ .highlight .ni { color: #f8f8f2 } /* Name.Entity */ .highlight .ne { color: #a6e22e } /* Name.Exception */ .highlight .nf { color: #a6e22e } /* Name.Function */ .highlight .nl { color: #f8f8f2 } /* Name.Label */ .highlight .nn { color: #f8f8f2 } /* Name.Namespace */ .highlight .nx { color: #a6e22e } /* Name.Other */ .highlight .py { color: #f8f8f2 } /* Name.Property */ .highlight .nt { color: #f92672 } /* Name.Tag */ .highlight .nv { color: #f8f8f2 } /* Name.Variable */ .highlight .ow { color: #f92672 } /* Operator.Word */ .highlight .w { color: #f8f8f2 } /* Text.Whitespace */ .highlight .mb { color: #ae81ff } /* Literal.Number.Bin */ .highlight .mf { color: #ae81ff } /* Literal.Number.Float */ .highlight .mh { color: #ae81ff } /* Literal.Number.Hex */ .highlight .mi { color: #ae81ff } /* Literal.Number.Integer */ .highlight .mo { color: #ae81ff } /* Literal.Number.Oct */ .highlight .sa { color: #e6db74 } /* Literal.String.Affix */ .highlight .sb { color: #e6db74 } /* Literal.String.Backtick */ .highlight .sc { color: #e6db74 } /* Literal.String.Char */ .highlight .dl { color: #e6db74 } /* Literal.String.Delimiter */ .highlight .sd { color: #e6db74 } /* Literal.String.Doc */ .highlight .s2 { color: #e6db74 } /* Literal.String.Double */ .highlight .se { color: #ae81ff } /* Literal.String.Escape */ .highlight .sh { color: #e6db74 } /* Literal.String.Heredoc */ .highlight .si { color: #e6db74 } /* Literal.String.Interpol */ .highlight .sx { color: #e6db74 } /* Literal.String.Other */ .highlight .sr { color: #e6db74 } /* Literal.String.Regex */ .highlight .s1 { color: #e6db74 } /* Literal.String.Single */ .highlight .ss { color: #e6db74 } /* Literal.String.Symbol */ .highlight .bp { color: #f8f8f2 } /* Name.Builtin.Pseudo */ .highlight .fm { color: #a6e22e } /* Name.Function.Magic */ .highlight .vc { color: #f8f8f2 } /* Name.Variable.Class */ .highlight .vg { color: #f8f8f2 } /* Name.Variable.Global */ .highlight .vi { color: #f8f8f2 } /* Name.Variable.Instance */ .highlight .vm { color: #f8f8f2 } /* Name.Variable.Magic */ .highlight .il { color: #ae81ff } /* Literal.Number.Integer.Long */ highway-1.3.0/docs/_static/css/toggle.css000066400000000000000000000026601504730760100203230ustar00rootroot00000000000000input[type=checkbox] { visibility: hidden; height: 0; width: 0; margin: 0; } .rst-versions .rst-current-version { padding: 10px; display: flex; justify-content: space-between; } .rst-versions .rst-current-version .fa-book, .rst-versions .rst-current-version .fa-v, .rst-versions .rst-current-version .fa-caret-down { height: 24px; line-height: 24px; vertical-align: middle; } .rst-versions .rst-current-version .fa-element { width: 80px; text-align: center; } .rst-versions .rst-current-version .fa-book { text-align: left; } .rst-versions .rst-current-version .fa-v { color: #27AE60; text-align: right; } label { margin: 0 auto; display: inline-block; justify-content: center; align-items: right; border-radius: 100px; position: relative; cursor: pointer; text-indent: -9999px; width: 50px; height: 21px; background: #000; } label:after { border-radius: 50%; position: absolute; content: ''; background: #fff; width: 15px; height: 15px; top: 3px; left: 3px; transition: ease-in-out 200ms; } input:checked+label { background: #3a7ca8; } input:checked+label:after { left: calc(100% - 5px); transform: translateX(-100%); } html.transition, html.transition *, html.transition *:before, html.transition *:after { transition: ease-in-out 200ms !important; transition-delay: 0 !important; } highway-1.3.0/docs/_static/js/000077500000000000000000000000001504730760100161505ustar00rootroot00000000000000highway-1.3.0/docs/_static/js/toggle.js000066400000000000000000000024651504730760100177760ustar00rootroot00000000000000document.addEventListener('DOMContentLoaded', function() { function toggleCssMode(isDay) { var mode = (isDay ? "Day" : "Night"); localStorage.setItem("css-mode", mode); var daysheet = $('link[href="_static/pygments.css"]')[0].sheet; daysheet.disabled = !isDay; var nightsheet = $('link[href="_static/css/dark.css"]')[0]; if (!isDay && nightsheet === undefined) { var element = document.createElement("link"); element.setAttribute("rel", "stylesheet"); element.setAttribute("type", "text/css"); element.setAttribute("href", "_static/css/dark.css"); document.getElementsByTagName("head")[0].appendChild(element); return; } if (nightsheet !== undefined) { nightsheet.sheet.disabled = isDay; } } var initial = localStorage.getItem("css-mode") != "Night"; var checkbox = document.querySelector('input[name=mode]'); toggleCssMode(initial); checkbox.checked = initial; checkbox.addEventListener('change', function() { document.documentElement.classList.add('transition'); window.setTimeout(() => { document.documentElement.classList.remove('transition'); }, 1000) toggleCssMode(this.checked); }) }); highway-1.3.0/docs/_templates/000077500000000000000000000000001504730760100162435ustar00rootroot00000000000000highway-1.3.0/docs/_templates/layout.html000066400000000000000000000002251504730760100204450ustar00rootroot00000000000000{% extends "!layout.html" %} {% block footer %} {{ super() }} {% endblock %} highway-1.3.0/docs/_templates/versions.html000066400000000000000000000041431504730760100210030ustar00rootroot00000000000000{% if READTHEDOCS or display_lower_left %} {# Add rst-badge after rst-versions for small badge style. #}
Read the Docs v: {{ current_version }}
{% if languages|length >= 1 %}
{{ _('Languages') }}
{% for slug, url in languages %} {% if slug == current_language %} {% endif %}
{{ slug }}
{% if slug == current_language %} {% endif %} {% endfor %}
{% endif %} {% if versions|length >= 1 %}
{{ _('Versions') }}
{% for slug, url in versions %} {% if slug == current_version %} {% endif %}
{{ slug }}
{% if slug == current_version %} {% endif %} {% endfor %}
{% endif %} {% if downloads|length >= 1 %}
{{ _('Downloads') }}
{% for type, url in downloads %}
{{ type }}
{% endfor %}
{% endif %} {% if READTHEDOCS %}
{{ _('On Read the Docs') }}
{{ _('Project Home') }}
{{ _('Builds') }}
{% endif %}
{% trans %}Free document hosting provided by GitHub Pages.{% endtrans %}
{% endif %} highway-1.3.0/docs/buildDocs.sh000077500000000000000000000111541504730760100163570ustar00rootroot00000000000000#!/bin/bash set -x ################################################################################ # File: buildDocs.sh # Purpose: Script that builds our documentation using sphinx and updates GitHub # Pages. This script is executed by: # .github/workflows/docs_pages_workflow.yml # # Authors: Michael Altfield # Created: 2020-07-17 # Updated: 2020-07-23 # Version: 0.2 ################################################################################ ################### # INSTALL DEPENDS # ################### apt-get update apt-get -y install git rsync pandoc python3-sphinx python3-sphinx-rtd-theme python3-stemmer python3-git python3-pip python3-venv python3-virtualenv python3-setuptools python3_venv_dir=`mktemp -d` python3 -m venv "$python3_venv_dir" "${python3_venv_dir}/bin/python" -m pip install --upgrade rinohtype pygments sphinx sphinx-rtd-theme sphinx-tabs stemmer GitPython docutils==0.16 pandoc "${python3_venv_dir}/bin/python" -m pip list # get rid of all these safe dir warnings git config --global --add safe.directory '*' ##################### # DECLARE VARIABLES # ##################### pwd ls -lah export SOURCE_DATE_EPOCH=$(git log -1 --pretty=%ct) # make a new temp dir which will be our GitHub Pages docroot docroot=`mktemp -d` export REPO_NAME="${GITHUB_REPOSITORY##*/}" ############## # BUILD DOCS # ############## export SPHINXBUILD="${python3_venv_dir}/bin/sphinx-build" # first, cleanup any old builds' static assets make -C docs clean # get a list of branches, excluding 'HEAD' and 'gh-pages' versions="`git for-each-ref '--format=%(refname:lstrip=-1)' refs/remotes/origin/ | grep -viE '^(HEAD|gh-pages)$'`" ls for current_version in ${versions}; do # make the current language available to conf.py export current_version git checkout ${current_version} echo "INFO: Building sites for ${current_version}" cd docs && "${python3_venv_dir}/bin/python" mm-converter.py cd .. # skip this branch if it doesn't have our docs dir & sphinx config if [ ! -e 'docs/conf.py' ]; then echo -e "\tINFO: Couldn't find 'docs/conf.py' (skipped)" continue fi languages="en" for current_language in ${languages}; do # make the current language available to conf.py export current_language ########## # BUILDS # ########## echo "INFO: Building for ${current_language}" # HTML # "$SPHINXBUILD" -b html docs/ docs/_build/html/${current_language}/${current_version} -D language="${current_language}" # copy the static assets produced by the above build into our docroot rsync -av "docs/_build/html/" "${docroot}/" done done # return to master branch git checkout master ####################### # Update GitHub Pages # ####################### git config --global user.name "${GITHUB_ACTOR}" git config --global user.email "${GITHUB_ACTOR}@users.noreply.github.com" pushd "${docroot}" # don't bother maintaining history; just generate fresh git init git remote add deploy "https://token:${GITHUB_TOKEN}@github.com/${GITHUB_REPOSITORY}.git" git checkout -b gh-pages # add .nojekyll to the root so that github won't 404 on content added to dirs # that start with an underscore (_), such as our "_content" dir.. touch .nojekyll # add redirect from the docroot to our default docs language/version cat > index.html < ${REPO_NAME} Docs

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I ¢›jõ´ ÷'"€ØOöÙNÂ>Û©7H °ÏZÅÇ…s]¼J%A;ÑÒ£ÝØ/ÍÔtÓfÔkSU¹@ ØçDø I û\v ¹€}ι¸@8×btH(%à7MÚqƒc-e™WºJNëŠF`Žu^ÔQäOö9æIK„}NJéAÀ°Ïv詃bBJ×x‚¾ì @ ¸¦:¬ n‡¶ %È À>ËÙ•ö¹(ò(ò%ûœ/oIiè¹–PCšTÀ±Nc®™@g¹âFa P<ë…¡ ‰Ñ!!XEϺÙê‚sm¶~ €€€€€€€à\[ $ˆ      `68×fëÒ€€€€€X@εJ‚ˆ      f€sm¶~ €€€€€€€à\[ $ˆ      `68×fëÒ€€€€€X@ ƒ2BD(ººæ*×y?ZÐqSÕ‡ÞqÕéÒ1C…A@ žY†}΃6ÊøL°Ïp®ãë 1 "à=<\‘Lv@©N^c¾é_%´|yuõâTŽ›ôÿúzýk©}›\O¯øp“ìs‹^aŸÝ¼ÁQ+°˜ìs‹ò2´Ïp®-~@Ê,z}}ýGÎgLM­hÌ$¹DóœêV‡ºÊ™¢ÕÿÖ®8e¤ES]³£ ';”.‚dDö¹,ìsFw²€}n!—¡}†s-½;‘®P•^Ý–#® Í=ÁôªÊŒà9Õõuzéf]jÖ@çCõ$G»Ù¹nRæÔ¹¦Ü¸ à Ø窄}®§Aò"û\ƒtŠöÎu Æ8 Y Ǻòö~d*=á:ÿ:Ý“ÝØH½ö„lA@À!°Ï)UpŠ€ ö«…;uË¡26¨¯¯S õ ­ó«³–™œìfG>ë’?€ØMöÙnýAzw ØbŸá\»{¢f Ã@ŽnjÃÀcÖ‘ìf‡>fD’€}.™ÂQ]kØdŸá\[s[APÛ ´†¢*¢G ÃÁ. >Ê0™ì³ÉÚl e&`›}†s]æ»uÏ@eŽ-\Vthë]´ (@Ì ûl† €T°Ñ>Ðگƈcpõç=¼Eov­ë8 e"û\&m£® 6°Ñ>ù¶éƒ¬V á,¦8ÖÀæ•Ä½#|ƒ€@9 À>—Sï¨5€€ùlµÏp®Í¿· ¡ÅŒÎÀ°²°ZÀyœ2€}.ƒ–QG ØlŸÿ|!»Ä¢F™?IEND®B`‚highway-1.3.0/docs/index.rst000066400000000000000000000004431504730760100157500ustar00rootroot00000000000000Highway, a C++ library that provides portable SIMD/vector intrinsics ==================================================================== .. toctree:: :maxdepth: 2 :caption: Contents: README quick_reference design_philosophy faq impl_details release_testing_processhighway-1.3.0/docs/locales/000077500000000000000000000000001504730760100155305ustar00rootroot00000000000000highway-1.3.0/docs/locales/zh/000077500000000000000000000000001504730760100161515ustar00rootroot00000000000000highway-1.3.0/docs/locales/zh/index.rst000066400000000000000000000003001504730760100200030ustar00rootroot00000000000000Highway, 为C++æä¾›å¯ç§»æ¤çš„SIMD原语 ==================================================================== .. toctree:: :maxdepth: 2 :caption: 我们正在准备中文支æŒï¼šï¼‰highway-1.3.0/docs/make.bat000066400000000000000000000014331504730760100155140ustar00rootroot00000000000000@ECHO OFF pushd %~dp0 REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set SOURCEDIR=. set BUILDDIR=_build if "%1" == "" goto help %SPHINXBUILD% >NUL 2>NUL if errorlevel 9009 ( echo. echo.The 'sphinx-build' command was not found. Make sure you have Sphinx echo.installed, then set the SPHINXBUILD environment variable to point echo.to the full path of the 'sphinx-build' executable. Alternatively you echo.may add the Sphinx directory to PATH. echo. echo.If you don't have Sphinx installed, grab it from echo.http://sphinx-doc.org/ exit /b 1 ) %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% goto end :help %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% :end popd highway-1.3.0/docs/mm-converter.py000077500000000000000000000074331504730760100171100ustar00rootroot00000000000000#!/usr/bin/env python3 # set correct links (pandoc did not deal with github links properly) import os import re import subprocess regex_pdf_links1 = re.compile(r'`(.*)\`__', re.M | re.X) # Multiline and Verbose regex_md_links = re.compile(r'`(.*)\`__', re.M | re.X) # Multiline and Verbose regex_md_links2 = re.compile(r'`(.*)\n(.*)\`__', re.M | re.X) # Multiline and Verbose regex_pdf_links2 = re.compile(r'`(.*)\n\s+(.*)\`__', re.M | re.X) # Multiline and Verbose def remove_links_to_index2(data): # remove liks to the index, they are useless in py4web docs data = data print(re.search(regex_pdf_links2, data)) return re.sub(regex_pdf_links2, r':download:`\1 \2`', data) def remove_links_to_index(data): # remove liks to the index, they are useless in py4web docs data = data print(re.search(regex_pdf_links1, data)) return re.sub(regex_pdf_links1, r':download:`\1`', data) def rewrite_md_links(data): # remove liks to the index, they are useless in py4web docs data = data print(re.search(regex_md_links, data)) data = re.sub(regex_md_links, r'`\1<\2.html>`__', data) data = re.sub(regex_md_links2, r'`\1 \2<\3.html>`__', data) return data docs_on_pages = [ 'README.md', 'quick_reference.md', 'design_philosophy.md', 'impl_details.md', 'faq.md', 'release_testing_process.md' ] def convert2md(file): print(f" Working on file {file}") file = os.path.join('g3doc', file) data = open(file, 'r').read() write_files(file, data) def write_files(file, data): for extension in ['rst']: ext_dir = os.getcwd() md_dir = os.path.join(os.getcwd(), 'g3doc') if not os.path.isdir(ext_dir): os.mkdir(ext_dir) ext_file = os.path.join(ext_dir , os.path.splitext(os.path.basename(file))[0] + "." + extension) md_file = os.path.join(md_dir , os.path.splitext(os.path.basename(file))[0] + ".md") print(f'writing {ext_file}') if os.path.exists(ext_file): os.unlink(ext_file) with open(ext_file, 'w') as handler: write_format(extension, ext_file, handler, md_file, data) def write_format(extension, ext_file, handler, md_file, data): if extension =='md': handler.write(data) elif extension =='rst': try: subprocess.call(['pandoc', '-s', md_file, '-f', 'markdown', '-t', 'rst', '-o', ext_file]) data = open(ext_file, 'r').read() data = remove_links_to_index(data) data = remove_links_to_index2(data) data = rewrite_md_links(data) handler.write(data) # Open a file for writing # with open('tmp.txt', 'w') as f: # Call the subprocess and redirect the output to the file # subprocess.call(['awk', '{ gsub(/(v)` instead of `v << 3` because MSVC 2017 (aarch64) does not propagate the literal (https://godbolt.org/g/rKx5Ga). Highway requires function-specific target attributes, supported by GCC 4.9 / Clang 3.9 / MSVC 2015. * Efficient and safe runtime dispatch is important. Modules such as image or video codecs are typically embedded into larger applications such as browsers, so they cannot require separate binaries for each CPU. Libraries also cannot predict whether the application already uses AVX2 (and pays the frequency throttling cost), so this decision must be left to the application. Using only the lowest-common denominator instructions sacrifices too much performance. Therefore, we provide code paths for multiple instruction sets and choose the most suitable at runtime. To reduce overhead, dispatch should be hoisted to higher layers instead of checking inside every low-level function. Highway supports inlining functions in the same file or in `*-inl.h` headers. We generate all code paths from the same source to reduce implementation- and debugging cost. * Not every CPU need be supported. To reduce code size and compile time, we group x86 targets into clusters. In particular, SSE3 instructions are only used/available if S-SSE3 is also available, and AVX only if AVX2 is also supported. * Access to platform-specific intrinsics is necessary for acceptance in performance-critical projects. We provide conversions to and from intrinsics to allow utilizing specialized platform-specific functionality, and simplify incremental porting of existing code. * The core API should be compact and easy to learn; we provide a [concise reference](quick_reference.md). ## Prior API designs The author has been writing SIMD code since 2002: first via assembly language, then intrinsics, later Intel's `F32vec4` wrapper, followed by three generations of custom vector classes. The first used macros to generate the classes, which reduces duplication but also readability. The second used templates instead. The third (used in highwayhash and PIK) added support for AVX2 and runtime dispatch. The current design (used in JPEG XL) enables code generation for multiple platforms and/or instruction sets from the same source, and improves runtime dispatch. ## Overloaded function API Most C++ vector APIs rely on class templates. However, the Arm SVE vector type is sizeless and cannot be wrapped in a class. We instead rely on overloaded functions. Overloading based on vector types is also undesirable because SVE vectors cannot be default-constructed. We instead use a dedicated tag type `Simd` for overloading, abbreviated to `D` for template arguments and `d` in lvalues. Note that generic function templates are possible (see generic_ops-inl.h). ## Masks AVX-512 introduced a major change to the SIMD interface: special mask registers (one bit per lane) that serve as predicates. It would be expensive to force AVX-512 implementations to conform to the prior model of full vectors with lanes set to all one or all zero bits. We instead provide a Mask type that emulates a subset of this functionality on other platforms at zero cost. Masks are returned by comparisons and `TestBit`; they serve as the input to `IfThen*`. We provide conversions between masks and vector lanes. On targets without dedicated mask registers, we use FF..FF as the definition of true. To also benefit from x86 instructions that only require the sign bit of floating-point inputs to be set, we provide a special `ZeroIfNegative` function. ## Differences vs. [P0214R5](https://goo.gl/zKW4SA) / std::experimental::simd 1. Allowing the use of built-in vector types by relying on non-member functions. By contrast, P0214R5 requires a wrapper class, which does not work for sizeless vector types currently used by Arm SVE and Risc-V. 1. Supporting many more operations such as 128-bit compare/minmax, AES/CLMUL, `AndNot`, `AverageRound`, bit-shift by immediates, compress/expand, fixed-point mul, `IfThenElse`, interleaved load/store, lzcnt, mask find/set, masked load/store, popcount, reductions, saturated add/sub, scatter/gather. 1. Designing the API to avoid or minimize overhead on AVX2/AVX-512 caused by crossing 128-bit 'block' boundaries. 1. Avoiding the need for non-native vectors. By contrast, P0214R5's `simd_cast` returns `fixed_size<>` vectors which are more expensive to access because they reside on the stack. We can avoid this plus additional overhead on Arm/AVX2 by defining width-expanding operations as functions of a vector part, e.g. promoting half a vector of `uint8_t` lanes to one full vector of `uint16_t`, or demoting full vectors to half vectors with half-width lanes. 1. Guaranteeing access to the underlying intrinsic vector type. This ensures all platform-specific capabilities can be used. P0214R5 instead only 'encourages' implementations to provide access. 1. Enabling safe runtime dispatch and inlining in the same binary. P0214R5 is based on the Vc library, which does not provide assistance for linking multiple instruction sets into the same binary. The Vc documentation suggests compiling separate executables for each instruction set or using GCC's ifunc (indirect functions). The latter is compiler-specific and risks crashes due to ODR violations when compiling the same function with different compiler flags. We solve this problem via target-specific namespaces and attributes (see HOWTO section below). We also permit a mix of static target selection and runtime dispatch for hotspots that may benefit from newer instruction sets if available. 1. Omitting inefficient or non-performance-portable operations such as `hmax`, `operator[]`, and unsupported integer comparisons. Applications can often replace these operations at lower cost than emulating that exact behavior. 1. Omitting `long double` types: these are not commonly available in hardware. 1. Ensuring signed integer overflow has well-defined semantics (wraparound). 1. Avoiding hidden performance costs. P0214R5 allows implicit conversions from integer to float, which costs 3-4 cycles on x86. We make these conversions explicit to ensure their cost is visible. ## Other related work * [Neat SIMD](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7568423) adopts a similar approach with interchangeable vector/scalar types and a compact interface. It allows access to the underlying intrinsics, but does not appear to be designed for other platforms than x86. * UME::SIMD ([code](https://goo.gl/yPeVZx), [paper](https://goo.gl/2xpZrk)) also adopts an explicit vectorization model with vector classes. However, it exposes the union of all platform capabilities, which makes the API harder to learn (209-page spec) and implement (the estimated LOC count is [500K](https://goo.gl/1THFRi)). The API is less performance-portable because it allows applications to use operations that are inefficient on other platforms. * Inastemp ([code](https://goo.gl/hg3USM), [paper](https://goo.gl/YcTU7S)) is a vector library for scientific computing with some innovative features: automatic FLOPS counting, and "if/else branches" using lambda functions. It supports IBM Power8, but only provides float and double types and does not support SVE without assuming the runtime vector size. highway-1.3.0/g3doc/faq.md000066400000000000000000000561571504730760100152640ustar00rootroot00000000000000# Frequently Asked Questions ## Getting started Q0.0: How do I **get the Highway library**? A: Highway is available in numerous package managers, e.g. under the name libhwy-dev. After installing, you can add it to your CMake-based build via `find_package(HWY 1.3.0)` and `target_link_libraries(your_project PRIVATE hwy)`. Alternatively, if using Git for version control, you can use Highway as a 'submodule' by adding the following to .gitmodules: ``` [submodule "highway"] path = highway url = https://github.com/google/highway ``` Then, anyone who runs `git clone --recursive` on your repository will also get Highway. If not using Git, you can also manually download the [Highway code](https://github.com/google/highway/releases) and add it to your source tree. For building Highway yourself, the two best-supported build systems are CMake and Bazel. For the former, insert `add_subdirectory(highway)` into your CMakeLists.txt. For the latter, we provide a BUILD file and your project can reference it by adding `deps = ["//path/highway:hwy"]`. If you use another build system, add `hwy/per_target.cc` and `hwy/targets.cc` to your list of files to compile and link. As of writing, all other files are headers typically included via highway.h. If you are interested in a single-header version of Highway, please raise an issue so we can understand your use-case. Q0.1: What's the **easiest way to start using Highway**? A: Copy an existing file such as `hwy/examples/benchmark.cc` or `skeleton.cc` or another source already using Highway. This ensures that the 'boilerplate' (namespaces, include order) are correct. Then, in the function `RunBenchmarks` (for benchmark.cc) or `FloorLog2` (for skeleton.cc), you can insert your own code. For starters it can be written entirely in normal C++. This can still be beneficial because your code will be compiled with the appropriate flags for SIMD, which may allow the compiler to autovectorize your C++ code especially if it is straightforward integer code without conditional statements/branches. Next, you can wrap your code in `#if HWY_TARGET == HWY_SCALAR || HWY_TARGET == HWY_EMU128` and into the `#else` branch, put a vectorized version of your code using the Highway intrinsics (see Documentation section below). If you also create a test by copying one of the source files in `hwy/tests/`, the Highway infrastructure will run your test for all supported targets. Because one of the targets SCALAR or EMU128 are always supported, this will ensure that your vector code behaves the same as your original code. ## Documentation Q1.1: How do I **find the Highway op name** corresponding to an existing intrinsic? A: Search for the intrinsic in (for example) [x86_128-inl.h](https://github.com/google/highway/blob/master/hwy/ops/x86_128-inl.h). The Highway op is typically the name of the function that calls the intrinsic. See also the [quick reference](https://github.com/google/highway/blob/master/g3doc/quick_reference.md) which lists all of the Highway ops. Q1.2: Are there **examples of porting intrinsics to Highway**? A: See https://github.com/google/highway#examples. Q1.3: Where do I find documentation for each **platform's intrinsics**? A: See Intel [guide](https://www.intel.com/content/www/us/en/docs/intrinsics-guide), Arm [guide](https://developer.arm.com/architectures/instruction-sets/intrinsics) and [SVE](https://dougallj.github.io/asil/), RISC-V V [spec](https://github.com/riscv/riscv-v-spec/blob/master/v-spec.adoc) and [guide](https://dzaima.github.io/intrinsics-viewer/#), [WebAssembly](https://nemequ.github.io/waspr/intrinsics), PPC [ISA](https://openpowerfoundation.org/specifications/isa/) and [intrinsics](https://openpowerfoundation.org/specifications/vectorintrinsicprogrammingreference/). Q1.4: Where do I find **instruction latency/throughput**? A: For x86, a combination of [uops.info](https://www.uops.info/table.html) and https://agner.org/optimize/, plus Intel's above intrinsics guide and [AMD's sheet (zip file)](https://www.amd.com/system/files/TechDocs/56665.zip). For Arm, the [Software_Optimization_Guide](https://developer.arm.com/documentation/pjdoc466751330-9685/latest/) for Neoverse V1 etc. For RISC-V, the vendor's tables (typically not publicly available). Q1.5: Where can I find **inspiration for SIMD-friendly algorithms**? A: - [Algorithms for Modern Hardware online book](https://en.algorithmica.org/hpc/) - [SIMD for C++ developers](http://const.me/articles/simd/simd.pdf) - [Bit twiddling collection](https://graphics.stanford.edu/~seander/bithacks.html) - [SIMD-within-a-register](http://aggregate.org/MAGIC/) - Hacker's Delight book, which has a huge collection of bitwise identities, but is written for hypothetical RISC CPUs, which differ in some ways from the SIMD capabilities of current CPUs. Q1.6: How do I **predict performance**? A: The best approach by far is end-to-end application benchmarking. Typical microbenchmarks are subject to numerous pitfalls including unrealistic cache and branch predictor hit rates (unless the benchmark randomizes its behavior). But sometimes we would like a quick indication of whether a short piece of code runs efficiently on a given CPU. Intel's IACA used to serve this purpose but has been discontinued. We now recommend llvm-mca, [integrated into Compiler Explorer](https://gcc.godbolt.org/z/n-KcQ-). This shows the predicted throughput and the pressure on the various functional units, but does not cover dynamic behavior including frontend and cache. For a bit more detail, see [https://en.algorithmica.org/hpc/profiling/mca/](https://en.algorithmica.org/hpc/profiling/mca/). chriselrod mentioned the recently published [uica](https://uica.uops.info/), which is reportedly more accurate ([paper](https://arxiv.org/pdf/2107.14210.pdf)). ## Correctness Q2.1: **Which targets are covered** by my tests? A: Tests execute for every target supported by the current CPU. The CPU may vary across runs in a cloud environment, so you may want to specify constraints to ensure the CPU is as recent as possible. Q2.2: Why do **floating-point results differ** on some platforms? A: It is commonly believed that floating-point reproducibility across platforms is infeasible. That is somewhat pessimistic, but not entirely wrong. Although IEEE-754 guarantees certain properties, including the rounding of each operation, commonly used compiler flags can invalidate them. In particular, clang/GCC -ffp-contract and MSVC /fp:contract can change results of anything involving multiply followed by add. This is usually helpful (fusing both operations into a single FMA, with only a single rounding), but depending on the computation typically changes the end results by around 10^-5. Using Highway's `MulAdd` op can have the same effect: SSE4, NEON and WASM may not support FMA, but most other platforms do. A common workaround is to use a tolerance when comparing expected values. For robustness across both large and small values, we recommend both a relative and absolute (L1 norm) tolerance. The -ffast-math flag can have more subtle and dangerous effects. It allows reordering operations (which can also change results), but also removes guarantees about NaN, thus we do not recommend using it. Q2.3: How do I make my code **safe for asan and msan**? A: The main challenge is dealing with the remainders in arrays not divisible by the vector length. Using `LoadU`, or even `MaskedLoad` with the mask set to `FirstN(d, remaining_lanes)`, may trigger page faults or asan errors. We instead recommend using `hwy/contrib/algo/transform-inl.h`. Rather than having to write a loop plus remainder handling, you simply define a templated (lambda) function implementing one loop iteration. The `Generate` or `Transform*` functions then take care of remainder handling. ## API design Q3.1: Are the **`d` arguments optimized out**? A: Yes, `d` is an lvalue of the zero-sized type `Simd<>`, typically obtained via `ScalableTag`. These only serve to select overloaded functions and do not occupy any storage at runtime. Q3.2: Why do **only some functions have a `d` argument**? A: Ops which receive and return vectors typically do not require a `d` argument because the type information on vectors (either built-in or wrappers) is sufficient for C++ overload resolution. The `d` argument is required for: ``` - Influencing the number of lanes loaded/stored from/to memory. The arguments to `Simd<>` include an upper bound `N`, and a shift count `kPow2` to divide the actual number of lanes by a power of two. - Indicating the desired vector or mask type to return from 'factory' functions such as `Set` or `FirstN`, `BitCast`, or conversions such as `PromoteTo`. - Disambiguating the argument type to ops such as `VecFromMask` or `AllTrue`, because masks may be generic types shared between multiple lane types. - Determining the actual number of lanes for certain ops, in particular those defined in terms of the upper half of a vector (`UpperHalf`, but also `Combine` or `ConcatUpperLower`) and reductions such as `MaxOfLanes`. ``` Q3.3: What's the policy for **adding new ops**? A: Please reach out, we are happy to discuss via Github issue. The general guideline is that there should be concrete plans to use the op, and it should be efficiently implementable on all platforms without major performance cliffs. In particular, each implementation should be at least as efficient as what is achievable on any platform using portable code without the op. See also the [wishlist for ops](op_wishlist.md). Q3.4: `auto` is discouraged, **what vector type** should we use? A: You can use `Vec` or `Mask`, where `D` is the type of `d` (in fact we often use `decltype(d)` for that). To keep code short, you can define typedefs/aliases, for example `using V = Vec`. Note that the Highway implementation uses `VFromD`, which is equivalent but currently necessary because `Vec` is defined after the Highway implementations in hwy/ops/*. Q3.5: **Why is base.h separate** from highway.h? A: It can be useful for files that just want compiler-dependent macros, for example `HWY_RESTRICT` in public headers. This avoids the expense of including the full `highway.h`, which can be large because some platform headers declare thousands of intrinsics. Q3.6: What are **restrict pointers** and when to use `HWY_RESTRICT`? This relates to aliasing. If a function has two pointer arguments of the same type, and perhaps also extern/static variables of that type, the compiler might have to be very conservative about caching the variables or pointer accesses because their value could change after writes to the pointer. `float* HWY_RESTRICT p` means a pointer to float, and this pointer is the only way to access the pointed-to object/array. In particular, this promises that `p` does not alias other pointers. This usually improves codegen when there are multiple pointers, at least one of which is const. Beware that the generated code might not behave as expected if you break the promise. ## Portability Q4.1: How do I **only generate code for a single instruction set** (static dispatch)? A: Suppose we know that all target CPUs support a given baseline (for example SSE4). Then we can reduce binary size and compilation time by only generating code for its instruction set. This is actually the default for Highway code that does not use foreach_target.h. Highway detects via predefined macros which instruction sets the compiler is allowed to use, which is governed by compiler flags. This [example](https://gcc.godbolt.org/z/rGnjMevKG) documents which flags are required on x86. Q4.2: Why does my working x86 code **not compile on SVE or RISC-V**? A: Assuming the code uses only documented identifiers (not, for example, the AVX2-specific `Vec256`), the problem is likely due to compiler limitations related to sizeless vectors. Code that works on x86 or NEON but not other platforms is likely breaking one of the following rules: - Use functions (Eq, Lt) instead of overloaded operators (`==`, `<`); - Prefix Highway ops with `hwy::HWY_NAMESPACE`, or an alias (`hn::Load`) or ensure your code resides inside `namespace hwy::HWY_NAMESPACE`; - Avoid arrays of vectors and static/thread_local/member vectors; instead use arrays of the lane type (T). - Avoid pointer arithmetic on vectors; instead increment pointers to lanes by the vector length (`Lanes(d)`). Q4.3: Why are **class members not allowed**? A: This is a limitation of clang and GCC, which disallow sizeless types (including SVE and RISC-V vectors) as members. This is because it is not known at compile time how large the vectors are. MSVC does not yet support SVE nor RISC-V V, so the issue has not yet come up there. Q4.4: Why are **overloaded operators not allowed**? A: C++ disallows overloading functions for built-in types, and vectors on some platforms (SVE, RISC-V) are indeed built-in types precisely due to the above limitation. Discussions are ongoing whether the compiler could add builtin `operator<(unspecified_vector, unspecified_vector)`. When(if) that becomes widely supported, this limitation can be lifted. Q4.5: Can I declare **arrays of lanes on the stack**? A: This mostly works, but is not necessarily safe nor portable. On RISC-V, vectors can be quite large (64 KiB for LMUL=8), which can exceed the stack size. It is better to use `hwy::AllocateAligned(Lanes(d))`. ## Boilerplate Q5.1: What is **boilerplate**? A: We use this to refer to reusable infrastructure which mostly serves to support runtime dispatch. We strongly recommend starting a SIMD project by copying from an existing one, because the ordering of code matters and the vector-specific boilerplate may be unfamiliar. See hwy/examples/skeleton.cc and https://github.com/google/highway#examples. Q5.2: What's the difference between **`HWY_BEFORE_NAMESPACE` and `HWY_ATTR`**? A: Both are ways of enabling SIMD code generation in clang/gcc. The former is a pragma that applies to all subsequent namespace-scope and member functions, but not lambda functions. It can be more convenient than specifying `HWY_ATTR` for every function. However, `HWY_ATTR` is still necessary for lambda functions that use SIMD. Q5.3: **Why use `HWY_NAMESPACE`**? A: This is only required when using foreach_target.h to generate code for multiple targets and dispatch to the best one at runtime. The namespace name changes for each target to avoid ODR violations. This would not be necessary for binaries built for a single target instruction set. However, we recommend placing your code in a `HWY_NAMESPACE` namespace (nested under your project's namespace) regardless so that it will be ready for runtime dispatch if you want that later. Q5.4: What are these **unusual include guards**? A: Suppose you want to share vector code between several translation units, and ensure it is inlined. With normal code we would use a header. However, foreach_target.h wants to re-compile (via repeated preprocessor `#include`) a translation unit once per target. A conventional include guard would strip out the header contents after the first target. By convention, we use header files named *-inl.h with a special include guard of the form: ``` #if defined(MYPROJECT_FILE_INL_H_TARGET) == defined(HWY_TARGET_TOGGLE) #ifdef MYPROJECT_FILE_INL_H_TARGET #undef MYPROJECT_FILE_INL_H_TARGET #else #define MYPROJECT_FILE_INL_H_TARGET #endif ``` Highway takes care of defining and un-defining `HWY_TARGET_TOGGLE` after each recompilation such that the guarded header is included exactly once per target. Again, this effort is only necessary when using foreach_target.h. However, we recommend using the special include guards already so your code is ready for runtime dispatch. Q5.5: How do I **prevent lint warnings for the include guard**? A: The linter wishes to see a normal include guard at the start of the file. We can simply insert an empty guard, followed by our per-target guard. ``` // Start of file: empty include guard to avoid lint errors #ifndef MYPROJECT_FILE_INL_H_ #define MYPROJECT_FILE_INL_H_ #endif // Followed by the actual per-target guard as above ``` ## Efficiency Q6.1: I heard that modern CPUs support unaligned loads efficiently. Why does Highway **differentiate unaligned and aligned loads/stores**? A: It is true that Intel CPUs since Haswell have greatly reduced the penalty for unaligned loads. Indeed the `LDDQU` instruction intended to reduce their performance penalty is no longer necessary because normal loads (`MOVDQU`) now behave in the same way, splitting unaligned loads into two aligned loads. However, this comes at a cost: using two (both) load ports per cycle. This can slow down low-arithmetic-intensity algorithms such as dot products that mainly load without performing much arithmetic. Also, unaligned stores are typically more expensive on any platform. Thus we recommend using aligned stores where possible, and testing your code on x86 (which may raise faults if your pointers are actually unaligned). Note that the more specialized memory operations apart from Load/Store (e.g. `CompressStore` or `BlendedStore`) are not specialized for aligned pointers; this is to avoid doubling the number of memory ops. Q6.2: **When does `Prefetch` help**? A: Prefetching reduces apparent memory latency by starting the process of loading from cache or DRAM before the data is actually required. In some cases, this can be a 10-20% improvement if the application is indeed latency sensitive. However, the CPU may already be triggering prefetches by analyzing your access patterns. Depending on the platform, one or two separate instances of continuous forward or backward scans are usually automatically detected. If so, then additional prefetches may actually degrade performance. Also, applications will not see much benefit if they are bottlenecked by something else such as vector execution resources. Finally, a prefetch only helps if it comes sufficiently before the subsequent load, but not so far ahead that it again falls out of the cache. Thus prefetches are typically applied to future loop iterations. Unfortunately, the prefetch distance (gap between current position and where we want to prefetch) is highly platform- and microarchitecture dependent, so it can be difficult to choose a value appropriate for all platforms. Q6.3: Is **CPU clock throttling** really an issue? A: Early Intel implementations of AVX2 and especially AVX-512 reduced their clock frequency once certain instructions are executed. A [microbenchmark](https://lemire.me/blog/2018/08/15/the-dangers-of-avx-512-throttling-a-3-impact/) specifically designed to reveal the worst case (with only few AVX-512 instructions) shows a 3-4% slowdown on Skylake. Note that this is for a single core; the effect depends on the number of cores using SIMD, and the CPU type (Bronze/Silver are more heavily affected than Gold/Platinum). However, the throttling is defined relative to an arbitrary base frequency; what actually matters is the measured performance. Because throttling or SIMD usage can affect the entire system, it is important to measure end-to-end application performance rather than rely on microbenchmarks. In practice, we find the speedup from sustained SIMD usage (not just sporadic instructions amid mostly scalar code) is much larger than the impact of throttling. For JPEG XL image decompression, we observe a 1.4-1.6x end to end speedup from AVX-512 vs. AVX2, even on multiple cores of a Xeon Gold. For [vectorized Quicksort](https://github.com/google/highway/blob/master/hwy/contrib/sort/README.md#study-of-avx-512-downclocking), we find that throttling is not detectable on a single Skylake core, and the AVX-512 startup overhead is worthwhile for inputs >= 80 KiB. Note that throttling is [no longer a concern on recent Intel](https://travisdowns.github.io/blog/2020/08/19/icl-avx512-freq.html#summary) implementations of AVX-512 (Icelake and Rocket Lake client), and AMD CPUs do not throttle AVX2 or AVX-512. Q6.4: Why does my CPU sometimes only execute **one vector instruction per cycle** even though the specs say it could do 2-4? A: CPUs and fast food restaurants assume there will be a mix of instructions/food types. If everyone orders only french fries, that unit will be the bottleneck. Instructions such as permutes/swizzles and comparisons are assumed to be less common, and thus can typically only execute one per cycle. Check the platform's optimization guide for the per-instruction "throughput". For example, Intel Skylake executes swizzles on port 5, and thus only one per cycle. Similarly, Arm V1 can only execute one predicate-setting instruction (including comparisons) per cycle. As a workaround, consider replacing equality comparisons with the OR-sum of XOR differences. Q6.5: How **expensive are Gather/Scatter**? A: Platforms that support it typically process one lane per cycle. This can be far slower than normal Load/Store (which can typically handle two or even three entire *vectors* per cycle), so avoid them where possible. However, some algorithms such as rANS entropy coding and hash tables require gathers, and it is still usually better to use them than to avoid vectorization entirely. ## Troubleshooting Q7.1: When building with clang-16, I see errors such as `DWARF error: invalid or unhandled FORM value: 0x25` or `undefined reference to __extendhfsf2`. A: This can happen if clang has been updated but compiler-rt has not. Action: When installing Clang 16 from apt.llvm.org, ensure libclang-rt-16-dev is also installed. This was caused by LLVM 16 changing the ABI of `__extendhfsf2` to match the GCC ABI, which requires the entire toolchain to be updated. See #1709 for more information. Q7.2: I see build errors mentioning `inlining failed in call to ‘always_inline’ ‘hwy::PreventElision(int&)void’: target specific option mismatch`. A: This is caused by a conflict between `-m` compiler flags and Highway's dynamic dispatch mode, and is typically triggered by defining `HWY_IS_TEST` (set by our CMake/Bazel builds for tests) or `HWY_COMPILE_ALL_ATTAINABLE`. See below for a workaround; first some background. The goal of dynamic dispatch is to compile multiple versions of the code, one per target. When `-m` compiler flags are used to force a certain baseline, it can be that non-SIMD, forceinline functions such as `PreventElision` are compiled for a newer CPU baseline than the minimum target that Highway sets via `#pragma`. The compiler enforces a safety check: inlining higher-baseline functions into a normal function raises an error. This would not occur in most applications because Highway only enables targets at or above the baseline set by `-m` flags. However, Highway's tests aim to cover all targets by defining `HWY_IS_TEST`. When that or `HWY_COMPILE_ALL_ATTAINABLE` are defined, then older targets are also compiled and the incompatibility arises. One possible solution is to disable these modes by defining `HWY_COMPILE_ONLY_STATIC`, which is checked first. Then, only the baseline target is used and dynamic dispatch is effectively disabled. If you still want to dispatch, but just avoid targets superseded by the baseline, define `HWY_SKIP_NON_BEST_BASELINE`. A third option is to avoid `-m` flags entirely, because they contradict the goals of test coverage and dynamic dispatch, or only set the ones that correspond to the oldest target Highway supports. 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Bear in mind that Highway is a thin wrapper over 'intrinsic functions' provided by the compiler. ## Vectors vs. tags The key to understanding Highway is to differentiate between vectors and zero-sized tag arguments. The former store actual data and are mapped by the compiler to vector registers. The latter (`Simd<>` and `SizeTag<>`) are only used to select among the various overloads of functions such as `Set`. This allows Highway to use builtin vector types without a class wrapper. Class wrappers are problematic for SVE and RVV because LLVM (or at least Clang) does not allow member variables whose type is 'sizeless' (in particular, built-in vectors). To our knowledge, Highway is the only C++ vector library that supports SVE and RISC-V without compiler flags that indicate what the runtime vector length will be. Such flags allow the compiler to convert the previously sizeless vectors to known-size vector types, which can then be wrapped in classes, but this only makes sense for use-cases where the exact hardware is known and rarely changes (e.g. supercomputers). By contrast, Highway can run on unknown hardware such as heterogeneous clouds or client devices without requiring a recompile, nor multiple binaries. Note that Highway does use class wrappers where possible, in particular NEON, WASM and x86. The wrappers (e.g. Vec128) are in fact required on some platforms (x86 and perhaps WASM) because Highway assumes the vector arguments passed e.g. to `Add` provide sufficient type information to identify the appropriate intrinsic. By contrast, x86's loosely typed `__m128i` built-in type could actually refer to any integer lane type. Because some targets use wrappers and others do not, incorrect user code may compile on some platforms but not others. This is because passing class wrappers as arguments triggers argument-dependent lookup, which would find the `Add` function even without namespace qualifiers because it resides in the same namespace as the wrapper. Correct user code qualifies each call to a Highway op, e.g. with a namespace alias `hn`, so `hn::Add`. This works for both wrappers and built-in vector types. ## Adding a new target Adding a target requires updating about ten locations: adding a macro constant to identify it, hooking it into static and dynamic dispatch, detecting support at runtime, and identifying the target name. The easiest and safest way to do this is to search for one of the target identifiers such as `HWY_AVX3_DL`, and add corresponding logic for your new target. Note the upper limits on the number of targets per platform imposed by `HWY_MAX_DYNAMIC_TARGETS`. ## When to use -inl.h By convention, files whose name ends with `-inl.h` contain vector code in the form of inlined function templates. In order to support the multiple compilation required for dynamic dispatch on platforms which provide several targets, such files generally begin with a 'per-target include guard' of the form: ``` #if defined(HWY_PATH_NAME_INL_H_) == defined(HWY_TARGET_TOGGLE) #ifdef HWY_PATH_NAME_INL_H_ #undef HWY_PATH_NAME_INL_H_ #else #define HWY_PATH_NAME_INL_H_ #endif // contents to include once per target #endif // HWY_PATH_NAME_INL_H_ ``` This toggles the include guard between defined and undefined, which is sufficient to 'reset' the include guard when beginning a new 'compilation pass' for the next target. This is accomplished by simply re-#including the user's translation unit, which may in turn `#include` one or more `-inl.h` files. As an exception, `hwy/ops/*-inl.h` do not require include guards because they are all included from highway.h, which takes care of this in a single location. Note that platforms such as RISC-V which currently only offer a single target do not require multiple compilation, but the same mechanism is used without actually re-#including. For both of those platforms, it is possible that additional targets will later be added, which means this mechanism will then be required. Instead of a -inl.h file, you can also use a normal .cc/.h component, where the vector code is hidden inside the .cc file, and the header only declares a normal non-template function whose implementation does `HWY_DYNAMIC_DISPATCH` into the vector code. For an example of this, see [vqsort.cc](../hwy/contrib/sort/vqsort.cc). Considerations for choosing between these alternatives are similar to those for regular headers. Inlining and thus `-inl.h` makes sense for short functions, or when the function must support many input types and is defined as a template. Conversely, non-inline `.cc` files make sense when the function is very long (such that call overhead does not matter), and/or is only required for a small set of input types. [Math functions](../hwy/contrib/math/math-inl.h) can fall into either case, hence we provide both inline functions and `Call*` wrappers. ## Use of macros Highway ops are implemented for up to 12 lane types, which can make for considerable repetition - even more so for RISC-V, which can have seven times as many variants (one per LMUL in `[1/8, 8]`). The various backends (implementations of one or more targets) differ in their strategies for handling this, in increasing order of macro complexity: * `x86_*` and `wasm_*` simply write out all the overloads, which is straightforward but results in 4K-6K line files. * [arm_sve-inl.h](../hwy/ops/arm_sve-inl.h) defines 'type list' macros `HWY_SVE_FOREACH*` to define all overloads for most ops in a single line. Such an approach makes sense because SVE ops are quite orthogonal (i.e. generally defined for all types and consistent). * [arm_neon-inl.h](../hwy/ops/arm_neon-inl.h) also uses type list macros, but with a more general 'function builder' which helps to define custom function templates required for 'unusual' ops such as `ShiftLeft`. * [rvv-inl.h](../hwy/ops/rvv-inl.h) has the most complex system because it deals with both type lists and LMUL, plus support for widening or narrowing operations. The type lists thus have additional arguments, and there are also additional lists for LMUL which can be extended or truncated. ## Code reuse across targets The set of Highway ops is carefully chosen such that most of them map to a single platform-specific intrinsic. However, there are some important functions such as `AESRound` which may require emulation, and are non-trivial enough that we don't want to copy them into each target's implementation. Instead, we implement such functions in [generic_ops-inl.h](../hwy/ops/generic_ops-inl.h), which is included into every backend. To allow some targets to override these functions, we use the same per-target include guard mechanism, e.g. `HWY_NATIVE_AES`. The functions there are typically templated on the vector and/or tag types. This is necessary because the vector type depends on the target. Although `Vec128` is available on most targets, `HWY_SCALAR`, `HWY_RVV` and `HWY_SVE*` lack this type. To enable specialized overloads (e.g. only for signed integers), we use the `HWY_IF` SFINAE helpers. Example: `template , HWY_IF_SIGNED_D(D)>`. Note that there is a limited set of `HWY_IF` that work directly with vectors, identified by their `_V` suffix. However, the functions likely use a `D` type anyway, thus it is convenient to obtain one in the template arguments and also use that for `HWY_IF_*_D`. For x86, we also avoid some duplication by implementing only once the functions which are shared between all targets. They reside in [x86_128-inl.h](../hwy/ops/x86_128-inl.h) and are also templated on the vector type. ## Adding a new op Adding an op consists of three steps, listed below. As an example, consider https://github.com/google/highway/commit/6c285d64ae50e0f48866072ed3a476fc12df5ab6. 1) Document the new op in `g3doc/quick_reference.md` with its function signature and a description of what the op does. 2) Implement the op in each `ops/*-inl.h` header. There are two exceptions, detailed in the previous section: first, `generic_ops-inl.h` is not changed in the common case where the op has a unique definition for every target. Second, if the op's definition would be duplicated in `x86_256-inl.h` and `x86_512-inl.h`, it may be expressed as a template in `x86_128-inl.h` with a `class V` template argument, e.g. `TableLookupBytesOr0`. 3) Pick the appropriate `hwy/tests/*_test.cc` and add a test. This is also a three step process: first define a functor that implements the test logic (e.g. `TestPlusMinus`), then a function (e.g. `TestAllPlusMinus`) that invokes this functor for all lane types the op supports, and finally a line near the end of the file that invokes the function for all targets: `HWY_EXPORT_AND_TEST_P(HwyArithmeticTest, TestAllPlusMinus);`. Note the naming convention that the function has the same name as the functor except for the `TestAll` prefix. ## Reducing the number of overloads via templates Most ops are supported for many types. Often it is possible to reuse the same implementation. When this works for every possible type, we simply use a template. C++ provides several mechanisms for constraining the types: * We can extend templates with SFINAE. Highway provides some internal-only `HWY_IF_*` macros for this, e.g. `template bool IsFiniteT(T t) {`. Variants of these with `_D` and `_V` suffixes exist for when the argument is a tag or vector type. Although convenient and fairly readable, this style sometimes encounters limits in compiler support, especially with older MSVC. * When the implementation is lengthy and only a few types are supported, it can make sense to move the implementation into namespace detail and provide one non-template overload for each type; each calls the implementation. * When the implementation only depends on the size in bits of the lane type (instead of whether it is signed/float), we sometimes add overloads with an additional `SizeTag` argument to namespace detail, and call those from the user-visible template. This may avoid compiler limitations relating to the otherwise equivalent `HWY_IF_T_SIZE(T, 1)`. ## Deducing the Simd<> argument type For functions that take a `d` argument such as `Load`, we usually deduce it as a `class D` template argument rather than deducing the individual `T`, `N`, `kPow2` arguments to `Simd`. To obtain `T` e.g. for the pointer argument to `Load`, use `TFromD`. Rather than `N`, e.g. for stack-allocated arrays on targets where `!HWY_HAVE_SCALABLE`, use `MaxLanes(d)`, or where no `d` lvalue is available, `HWY_MAX_LANES_D(D)`. When there are constraints, such as "only enable when the `D` is exactly 128 bits", be careful not to use `Full128` as the function argument type, because this will not match `Simd`, i.e. twice a half-vector. Instead use `HWY_IF_V_SIZE_D(D, 16)`. We could perhaps skip the `HWY_IF_V_SIZE_D` if fixed-size vector or mask arguments are present, because they already have the same effect of overload resolution. For example, when the arguments are `Vec256` the overload defined in x86_256 will be selected. However, also verifying the `D` matches the other arguments helps prevent erroneous or questionable code from compiling. For example, passing a different `D` to `Store` than the one used to create the vector argument might point to an error; both should match. For functions that accept multiple vector types (these are mainly in x86_128, and avoid duplicating those functions in x86_256 and x86_512), we use `VFrom`. ## Documentation of platform-specific intrinsics When adding a new op, it is often necessary to consult the reference for each platform's intrinsics. For x86 targets `HWY_SSE2`, `HWY_SSSE3`, `HWY_SSE4`, `HWY_AVX2`, `HWY_AVX3`, `HWY_AVX3_DL`, `HWY_AVX3_ZEN4`, `HWY_AVX3_SPR` Intel provides a [searchable reference](https://www.intel.com/content/www/us/en/docs/intrinsics-guide). For Arm targets `HWY_NEON`, `HWY_NEON_WITHOUT_AES`, `HWY_NEON_BF16`, `HWY_SVE` (plus its specialization for 256-bit vectors `HWY_SVE_256`), `HWY_SVE2` (plus its specialization for 128-bit vectors `HWY_SVE2_128`), Arm provides a [searchable reference](https://developer.arm.com/architectures/instruction-sets/intrinsics). For RISC-V target `HWY_RVV`, we refer to the assembly language [specification](https://github.com/riscv/riscv-v-spec/blob/master/v-spec.adoc) plus the separate [intrinsics specification](https://github.com/riscv-non-isa/rvv-intrinsic-doc). For WebAssembly target `HWY_WASM`, we recommend consulting the [intrinsics header](https://github.com/llvm/llvm-project/blob/main/clang/lib/Headers/wasm_simd128.h). There is also an unofficial [searchable list of intrinsics](https://nemequ.github.io/waspr/intrinsics). For POWER targets `HWY_PPC8`, `HWY_PPC9`, `HWY_PPC10`, there is [documentation of intrinsics](https://files.openpower.foundation/s/9nRDmJgfjM8MpR7), the [ISA](https://files.openpower.foundation/s/dAYSdGzTfW4j2r2), plus a [searchable reference](https://www.ibm.com/docs/en/openxl-c-and-cpp-aix/17.1.1?). For ZVector targets `HWY_Z14`, `HWY_Z15`, `HWY_Z16`, there is the [ISA](https://www.ibm.com/support/pages/zarchitecture-principles-operation) (requires IBMid login), plus a [searchable reference](https://www.ibm.com/docs/en/zos/2.5.0?topic=topics-using-vector-programming-support). For LoongArch, there is a [list of intrinsics](https://jia.je/unofficial-loongarch-intrinsics-guide/lsx/integer_computation/) and [ISA reference](https://loongson.github.io/LoongArch-Documentation/LoongArch-Vol1-EN.html). ## Why scalar target There can be various reasons to avoid using vector intrinsics: * The current CPU may not support any instruction sets generated by Highway (on x86, we only target S-SSE3 or newer because its predecessor SSE3 was introduced in 2004 and it seems unlikely that many users will want to support such old CPUs); * The compiler may crash or emit incorrect code for certain intrinsics or instruction sets; * We may want to estimate the speedup from the vector implementation compared to scalar code. Highway provides either the `HWY_SCALAR` or the `HWY_EMU128` target for such use-cases. Both implement ops using standard C++ instead of intrinsics. They differ in the vector size: the former always uses single-lane vectors and thus cannot implement ops such as `AESRound` or `TableLookupBytes`. The latter guarantees 16-byte vectors are available like all other Highway targets, and supports all ops. Both of these alternatives are slower than native vector code, but they allow testing your code even when actual vectors are unavailable. One of the above targets is used if the CPU does not support any actual SIMD target. To avoid compiling any intrinsics, define `HWY_COMPILE_ONLY_EMU128`. `HWY_SCALAR` is only enabled/used `#ifdef HWY_COMPILE_ONLY_SCALAR` (or `#if HWY_BROKEN_EMU128`). 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LoadnPair: Gather with optimizations in particular for 2x64-bit, which use 128-bit loads plus Combine. Also StorePair Lookup128 for 32x 32-bit and 16x 64-bit. permutex2var on AVX-512, else Gather. Also Lookup64 and Lookup32. ReduceMin/MaxOrNaN Document Reduce/Min NaN behavior _mm512_getmant (f32/f64) ### Clear lowest mask bit ### Remaining math functions for hwy/contrib/math High-precision! Consider copying from SLEEF. See #1650. cbrt, cosh, erf, fmod, ilogb, lgamma, logb, modf, nextafter, nexttoward, pow, scalbn, tan, tgamma ### Remaining STL functions for hwy/contrib/algo * Min/MaxValue * IndexOfMin/Max * AllOf / AnyOf / NoneOf * Count(If) (https://en.algorithmica.org/hpc/simd/masking/) * EqualSpan * ReverseSpan * ShuffleSpan * IsSorted * Reduce ### Range coder Port https://github.com/richgel999/sserangecoding to Highway (~50 instructions). ### Iguana (fast LZ + ANS) Port https://github.com/SnellerInc/sneller/tree/master/ion/zion/iguana (Go+assembly) to Highway. ### AfterN = Not(FirstN()), replaces several instances. WHILEGE on SVE. ### 52x52=104-bit multiply For crypto. Native on Icelake+. ### RVV codegen * Use new mask<->vec cast instruction, possibly for OddEven, ExpandLoad * `rgather_vx` for broadcasting redsum result? ### SVE codegen * SVE2.1: TBLQ for `TableLookupBytes` * SVE2: use XAR for `RotateRight` * `CombineShiftRightBytes` use `TableLookupLanes` instead? * `Shuffle*`: use `TableLookupLanes` instead? * Use SME once available: DUP predicate, REVD (rotate 128-bit elements by 64), SCLAMP/UCLAMP, 128-bit TRN/UZP/ZIP (also in F64MM) ### emu128 codegen * `#pragma unroll(1)` in all loops to enable autovectorization ### Add emu256 target Reuse same wasm256 file, `#if` for wasm-specific parts. Use reserved avx slot. ### Conflict detection For hash tables. Use VPCONFLICT on ZEN4. ### `Dup128TableLookupBytes` Avoids having to add offset on RVV. Table must come from `LoadDup128`. ### `LoadPromoteTo` For SVE (svld1sb_u32)+WASM? Compiler can probably already fuse. ## Done * ~~Signbit~~ * ~~ConvertF64<->I32~~ (math-inl) * ~~Copysign~~ (math) * ~~CopySignToAbs~~ (math) * ~~Neg~~ * ~~Compress~~ * ~~Mask ops~~ (math) * ~~RebindMask~~ * ~~Not~~ * ~~FP16 conversions~~ * ~~Scatter~~ * ~~Gather~~ * ~~Pause~~ * ~~Abs i64~~ * ~~FirstN~~ * ~~Compare i64~~ * ~~AESRound~~ * ~~CLMul~~ (GCM) * ~~TableLookupBytesOr0~~ (AES) * ~~FindFirstTrue~~ (strlen) * ~~NE~~ * ~~Combine partial~~ * ~~LoadMaskBits~~ (FirstN) * ~~MaskedLoad~~ * ~~Bf16 promote2~~ * ~~ConcatOdd/Even~~ * ~~SwapAdjacentBlocks~~ * ~~OddEvenBlocks~~ * ~~CompressBlendedStore~~ * ~~RotateRight~~ (Reverse2 i16) * ~~Compare128~~ * ~~OrAnd~~ * ~~IfNegativeThenElse~~ * ~~MulFixedPoint15~~ (codec) * ~~Insert/ExtractLane~~ * ~~IsNan~~ * ~~IsFinite~~ * ~~StoreInterleaved~~ * ~~LoadInterleaved~~ (codec) * ~~Or3/Xor3~~ * ~~NotXor~~ (sort) * ~~FindKnownFirstTrue~~ (sort) * ~~CompressStore~~ 8-bit * ~~ExpandLoad~~ (hash) * ~~Zen4 target~~ (sort) * ~~SSE2 target~~ - by johnplatts * ~~AbsDiff int~~ - by johnplatts * ~~Le integer~~ - by johnplatts * ~~LeadingZeroCount~~ - by johnplatts in #1276 * ~~8-bit Mul~~ * ~~(Neg)MulAdd for integer~~ * ~~AESRoundInv etc~~ - by johnplatts in #1286 * ~~`OddEven` for <64bit lanes: use Set of wider constant 0_1~~ * ~~Shl for 8-bit~~ * ~~Shr for 8-bit~~ * ~~Faster `Reverse2` 16-bit~~ * ~~Add `Reverse2` for 8-bit~~ * ~~`TwoTablesLookupLanes`~~ - by johnplatts in #1303 * ~~Add 8/16-bit `TableLookupLanes`~~ - by johnplatts in #1303 * ~~`FindLastTrue`~~ - by johnplatts in #1308 * ~~Vec2, Create/Get functions~~ * ~~`PromoteTo` for all types (#915)~~ - by johnplatts in #1387 * ~~atan2~~ * ~~Slide1Up/Down~~ - by johnplatts in #1496 * ~~`MaxOfLanes, MinOfLanes` returning scalar~~ * ~~Add `DupEven` for 16-bit~~ - by johnplatts in #1431 * ~~AVX3_SPR target~~ * ~~MaskedGather returns zero for mask=false.~~ * ~~GatherIndexN/ScatterIndexN~~ * ~~MaskedScatter~~ * ~~float64 support for WASM~~ * ~~LoadNOr~~ * ~~PromoteEvenTo~~ - by johnplatts * ~~Masked add/sub/div~~ * ~~ReduceMin/Max like ReduceSum, in addition to Min/MaxOfLanes~~ * ~~Reductions for 8-bit~~ * ~~RVV: Fix remaining 8-bit table lookups for large vectors~~ * ~~QuickSelect algo~~ - by enum-class * ~~New tuple interface for segment load/store~~ * ~~Div (integer division) and Mod~~ - by johnplatts * ~~AddSub and MulAddSub~~ - by johnplatts * ~~hypot~~ - by johnplatts * ~~exp2~~ - by johnplatts highway-1.3.0/g3doc/quick_reference.md000066400000000000000000004346751504730760100176540ustar00rootroot00000000000000# API synopsis / quick reference ## High-level overview Highway is a collection of 'ops': platform-agnostic pure functions that operate on tuples (multiple values of the same type). These functions are implemented using platform-specific intrinsics, which map to SIMD/vector instructions. Your code calls these ops and uses them to implement the desired algorithm. Alternatively, `hwy/contrib` also includes higher-level algorithms such as `FindIf` or `VQSort` implemented using these ops. ## Static vs. dynamic dispatch Highway supports two ways of deciding which instruction sets to use: static or dynamic dispatch. Static means targeting a single instruction set, typically the best one enabled by the given compiler flags. This has no runtime overhead and only compiles your code once, but because compiler flags are typically conservative, you will not benefit from more recent instruction sets. Conversely, if you run the binary on a CPU that does not support this instruction set, it will crash. Dynamic dispatch means compiling your code multiple times and choosing the best available implementation at runtime. Highway supports three ways of doing this: * Highway can take care of everything including compilation (by re-`#include` your code), setting the required compiler #pragmas, and dispatching to the best available implementation. The only changes to your code relative to static dispatch are adding `#define HWY_TARGET_INCLUDE`, `#include "third_party/highway/hwy/foreach_target.h"` (which must come before any inclusion of highway.h) and calling `HWY_DYNAMIC_DISPATCH` instead of `HWY_STATIC_DISPATCH`. * Some build systems (e.g. Apple) support the concept of 'fat' binaries which contain code for multiple architectures or instruction sets. Then, the operating system or loader typically takes care of calling the appropriate code. Highway interoperates with this by using the instruction set requested by the current compiler flags during each compilation pass. Your code is the same as with static dispatch. Note that this method replicates the entire binary, whereas the Highway-assisted dynamic dispatch method only replicates your SIMD code, which is typically a small fraction of the total size. * Because Highway is a library (as opposed to a code generator or compiler), the dynamic dispatch method can be inspected, and made to interoperate with existing systems. For compilation, you can replace foreach_target.h if your build system supports compiling for multiple targets. For choosing the best available target, you can replace Highway's CPU detection and decision with your own. `HWY_DYNAMIC_DISPATCH` calls into a table of function pointers with a zero-based index indicating the desired target. Instead of calling it immediately, you can also save the function pointer returned by `HWY_DYNAMIC_POINTER`. Note that `HWY_DYNAMIC_POINTER` returns the same pointer that `HWY_DYNAMIC_DISPATCH` would. When either of them are first invoked, the function pointer first detects the CPU, then calls your actual function. You can call `GetChosenTarget().Update(SupportedTargets());` to ensure future dynamic dispatch avoids the overhead of CPU detection. You can also replace the table lookup with your own choice of index, or even call e.g. `N_AVX2::YourFunction` directly. Examples of both static and dynamic dispatch are provided in examples/. Typically, the function that does the dispatch receives a pointer to one or more arrays. Due to differing ABIs, we recommend only passing vector arguments to functions that are inlined, and in particular not the top-level function that does the dispatch. Note that if your compiler is pre-configured to generate code only for a specific architecture, or your build flags include -m flags that specify a baseline CPU architecture, then this can interfere with dynamic dispatch, which aims to build code for all attainable targets. One example is specializing for a Raspberry Pi CPU that lacks AES, by specifying `-march=armv8-a+crc`. When we build the `HWY_NEON` target (which would only be used if the CPU actually does have AES), there is a conflict between the `arch=armv8-a+crypto` that is set via pragma only for the vector code, and the global `-march`. This results in a compile error, see #1460, #1570, and #1707. As a workaround, we recommend avoiding -m flags if possible, and otherwise defining `HWY_COMPILE_ONLY_STATIC` or `HWY_SKIP_NON_BEST_BASELINE` when building Highway as well as any user code that includes Highway headers. As a result, only the baseline target, or targets at least as good as the baseline, will be compiled. Note that it is fine for user code to still call `HWY_DYNAMIC_DISPATCH`. When Highway is only built for a single target, `HWY_DYNAMIC_DISPATCH` results in the same direct call that `HWY_STATIC_DISPATCH` would produce. ## Headers The public headers are: * hwy/highway.h: main header, included from source AND/OR header files that use vector types. Note that including in headers may increase compile time, but allows declaring functions implemented out of line. * hwy/base.h: included from headers that only need compiler/platform-dependent definitions (e.g. `PopCount`) without the full highway.h. * hwy/foreach_target.h: re-includes the translation unit (specified by `HWY_TARGET_INCLUDE`) once per enabled target to generate code from the same source code. highway.h must still be included. * hwy/aligned_allocator.h: defines functions for allocating memory with alignment suitable for `Load`/`Store`. * hwy/cache_control.h: defines standalone functions to control caching (e.g. prefetching), independent of actual SIMD. * hwy/nanobenchmark.h: library for precisely measuring elapsed time (under varying inputs) for benchmarking small/medium regions of code. * hwy/print-inl.h: defines Print() for writing vector lanes to stderr. * hwy/tests/test_util-inl.h: defines macros for invoking tests on all available targets, plus per-target functions useful in tests. Highway provides helper macros to simplify your vector code and ensure support for dynamic dispatch. To use these, add the following to the start and end of any vector code: ``` #include "hwy/highway.h" HWY_BEFORE_NAMESPACE(); // at file scope namespace project { // optional namespace HWY_NAMESPACE { // implementation // NOLINTNEXTLINE(google-readability-namespace-comments) } // namespace HWY_NAMESPACE } // namespace project - optional HWY_AFTER_NAMESPACE(); ``` If you choose not to use the `BEFORE/AFTER` lines, you must prefix any function that calls Highway ops such as `Load` with `HWY_ATTR`. Either of these will set the compiler #pragma required to generate vector code. The `HWY_NAMESPACE` lines ensure each instantiation of your code (one per target) resides in a unique namespace, thus preventing ODR violations. You can omit this if your code will only ever use static dispatch. ## Notation in this doc By vector 'lanes', we mean the 'elements' of that vector. Analogous to the lanes of a highway or swimming pool, most operations act on each lane independently, but it is possible for lanes to interact and change order via 'swizzling' ops. * `T` denotes the type of a vector lane (integer or floating-point); * `N` is a size_t value that governs (but is not necessarily identical to) the number of lanes; * `D` is shorthand for a zero-sized tag type `Simd`, used to select the desired overloaded function (see next section). Use aliases such as `ScalableTag` instead of referring to this type directly; * `d` is an lvalue of type `D`, passed as a function argument e.g. to Zero; * `V` is the type of a vector, which may be a class or built-in type. * `v[i]` is analogous to C++ array notation, with zero-based index `i` from the starting address of the vector `v`. ## Vector and tag types Highway vectors consist of one or more 'lanes' of the same built-in type `T`: `uint##_t, int##_t` for `## = 8, 16, 32, 64`, or `float##_t` for `## = 16, 32, 64` and `bfloat16_t`. `T` may be retrieved via `TFromD`. `IsIntegerLaneType` evaluates to true for these `int` or `uint` types. Beware that `char` may differ from these types, and is not supported directly. If your code loads from/stores to `char*`, use `T=uint8_t` for Highway's `d` tags (see below) or `T=int8_t` (which may enable faster less-than/greater-than comparisons), and cast your `char*` pointers to your `T*`. In Highway, `float16_t` (an IEEE binary16 half-float) and `bfloat16_t` (the upper 16 bits of an IEEE binary32 float) only support load, store, and conversion to/from `float32_t`. The behavior of infinity and NaN in `float16_t` is implementation-defined due to Armv7. To ensure binary compatibility, these types are always wrapper structs and cannot be initialized with values directly. You can initialize them via `BitCastScalar` or `ConvertScalarTo`. On RVV/SVE, vectors are sizeless and cannot be wrapped inside a class. The Highway API allows using built-in types as vectors because operations are expressed as overloaded functions. Instead of constructors, overloaded initialization functions such as `Set` take a zero-sized tag argument called `d` of type `D` and return an actual vector of unspecified type. The actual lane count (used to increment loop counters etc.) can be obtained via `Lanes(d)`. To improve code generation (constant-propagation) for targets with fixed-size vectors, this function is `constexpr` `#if HWY_HAVE_CONSTEXPR_LANES`. Otherwise, users must not assign `Lanes(d)` to `constexpr` variables. You can ensure this by using `HWY_LANES_CONSTEXPR` instead of `constexpr`. To help detect mismatches, we define `HWY_HAVE_CONSTEXPR_LANES` to 0 in debug builds. Because `Lanes(d)` might not be constexpr, it must also not be used as array dimensions. Instead, storage for vectors should be dynamically allocated, e.g. via `AllocateAligned(Lanes(d))`. Note that `Lanes(d)` could potentially change at runtime. This is currently unlikely, and will not be initiated by Highway without user action, but could still happen in other circumstances: * upon user request in future via special CPU instructions (switching to 'streaming SVE' mode for Arm SME), or * via system software (`prctl(PR_SVE_SET_VL` on Linux for Arm SVE). When the vector length is changed using this mechanism, all but the lower 128 bits of vector registers are invalidated. Thus we discourage caching the result; it is typically used inside a function or basic block. If the application anticipates that one of the above circumstances could happen, it should ensure by some out-of-band mechanism that such changes will not happen during the critical section (the vector code which uses the result of the previously obtained `Lanes(d)`). `MaxLanes(d)` returns a (potentially loose) upper bound on `Lanes(d)`, and is always implemented as a constexpr function. The actual lane count is guaranteed to be a power of two, even on SVE. This simplifies alignment: remainders can be computed as `count & (Lanes(d) - 1)` instead of an expensive modulo. It also ensures loop trip counts that are a large power of two (at least `MaxLanes`) are evenly divisible by the lane count, thus avoiding the need for a second loop to handle remainders. `d` lvalues (a tag, NOT actual vector) are obtained using aliases: * Most common: `ScalableTag d;` or the macro form `HWY_FULL(T[, LMUL=1]) d;`. With the default value of the second argument, these both select full vectors which utilize all available lanes. Only for targets (e.g. RVV) that support register groups, the kPow2 (-3..3) and LMUL argument (1, 2, 4, 8) specify `LMUL`, the number of registers in the group. This effectively multiplies the lane count in each operation by `LMUL`, or left-shifts by `kPow2` (negative values are understood as right-shifting by the absolute value). These arguments will eventually be optional hints that may improve performance on 1-2 wide machines (at the cost of reducing the effective number of registers), but RVV target does not yet support fractional `LMUL`. Thus, mixed-precision code (e.g. demoting float to uint8_t) currently requires `LMUL` to be at least the ratio of the sizes of the largest and smallest type, and smaller `d` to be obtained via `Half`. For other targets, `kPow2` must lie within [HWY_MIN_POW2, HWY_MAX_POW2]. The `*Tag` aliases clamp to the upper bound but your code should ensure the lower bound is not exceeded, typically by specializing compile-time recursions for `kPow2` = `HWY_MIN_POW2` (this avoids compile errors when `kPow2` is low enough that it is no longer a valid shift count). * Less common: `CappedTag d` or the macro form `HWY_CAPPED(T, kCap) d;`. These select vectors or masks where *no more than* the largest power of two not exceeding `kCap` lanes have observable effects such as loading/storing to memory, or being counted by `CountTrue`. The number of lanes may also be less; for the `HWY_SCALAR` target, vectors always have a single lane. For example, `CappedTag` will use up to two lanes. * For applications that require fixed-size vectors: `FixedTag d;` will select vectors where exactly `kCount` lanes have observable effects. These may be implemented using full vectors plus additional runtime cost for masking in `Load` etc. `kCount` must be a power of two not exceeding `HWY_LANES(T)`, which is one for `HWY_SCALAR`. This tag can be used when the `HWY_SCALAR` target is anyway disabled (superseded by a higher baseline) or unusable (due to use of ops such as `TableLookupBytes`). As a convenience, we also provide `Full128`, `Full64` and `Full32` aliases which are equivalent to `FixedTag`, `FixedTag` and `FixedTag`. * The result of `UpperHalf`/`LowerHalf` has half the lanes. To obtain a corresponding `d`, use `Half`; the opposite is `Twice<>`. * `BlockDFromD` returns a `d` with a lane type of `TFromD` and `HWY_MIN(HWY_MAX_LANES_D(D), 16 / sizeof(TFromD))` lanes. User-specified lane counts or tuples of vectors could cause spills on targets with fewer or smaller vectors. By contrast, Highway encourages vector-length agnostic code, which is more performance-portable. For mixed-precision code (e.g. `uint8_t` lanes promoted to `float`), tags for the smaller types must be obtained from those of the larger type (e.g. via `Rebind>`). ## Using unspecified vector types Vector types are unspecified and depend on the target. Your code could define vector variables using `auto`, but it is more readable (due to making the type visible) to use an alias such as `Vec`, or `decltype(Zero(d))`. Similarly, the mask type can be obtained via `Mask`. Often your code will first define a `d` lvalue using `ScalableTag`. You may wish to define an alias for your vector types such as `using VecT = Vec`. Do not use undocumented types such as `Vec128`; these may work on most targets, but not all (e.g. SVE). Vectors are sizeless types on RVV/SVE. Therefore, vectors must not be used in arrays/STL containers (use the lane type `T` instead), class members, static/thread_local variables, new-expressions (use `AllocateAligned` instead), and sizeof/pointer arithmetic (increment `T*` by `Lanes(d)` instead). Initializing constants requires a tag type `D`, or an lvalue `d` of that type. The `D` can be passed as a template argument or obtained from a vector type `V` via `DFromV`. `TFromV` is equivalent to `TFromD>`. **Note**: Let `DV = DFromV`. For built-in `V` (currently necessary on RVV/SVE), `DV` might not be the same as the `D` used to create `V`. In particular, `DV` must not be passed to `Load/Store` functions because it may lack the limit on `N` established by the original `D`. However, `Vec` is the same as `V`. Thus a template argument `V` suffices for generic functions that do not load from/store to memory: `template V Mul4(V v) { return Mul(v, Set(DFromV(), 4)); }`. Example of mixing partial vectors with generic functions: ``` CappedTag d2; auto v = Mul4(Set(d2, 2)); Store(v, d2, ptr); // Use d2, NOT DFromV() ``` ## Targets Let `Target` denote an instruction set, one of `SCALAR/EMU128`, `RVV`, `SSE2/SSSE3/SSE4/AVX2/AVX3/AVX3_DL/AVX3_ZEN4/AVX3_SPR` (x86), `PPC8/PPC9/PPC10` (POWER), `Z14/Z15` (IBM Z), `WASM/WASM_EMU256` (WebAssembly), `NEON_WITHOUT_AES/NEON/NEON_BF16/SVE/SVE2/SVE_256/SVE2_128` (Arm). Note that x86 CPUs are segmented into dozens of feature flags and capabilities, which are often used together because they were introduced in the same CPU (example: AVX2 and FMA). To keep the number of targets and thus compile time and code size manageable, we define targets as 'clusters' of related features. To use `HWY_AVX2`, it is therefore insufficient to pass -mavx2. For definitions of the clusters, see `kGroup*` in `targets.cc`. The corresponding Clang/GCC compiler options to enable them (without -m prefix) are defined by `HWY_TARGET_STR*` in `set_macros-inl.h`, and also listed as comments in https://gcc.godbolt.org/z/rGnjMevKG. Targets are only used if enabled (i.e. not broken nor disabled). Baseline targets are those for which the compiler is unconditionally allowed to generate instructions (implying the target CPU must support them). * `HWY_STATIC_TARGET` is the best enabled baseline `HWY_Target`, and matches `HWY_TARGET` in static dispatch mode. This is useful even in dynamic dispatch mode for deducing and printing the compiler flags. * `HWY_TARGETS` indicates which targets to generate for dynamic dispatch, and which headers to include. It is determined by configuration macros and always includes `HWY_STATIC_TARGET`. * `HWY_SUPPORTED_TARGETS` is the set of targets available at runtime. Expands to a literal if only a single target is enabled, or SupportedTargets(). * `HWY_TARGET`: which `HWY_Target` is currently being compiled. This is initially identical to `HWY_STATIC_TARGET` and remains so in static dispatch mode. For dynamic dispatch, this changes before each re-inclusion and finally reverts to `HWY_STATIC_TARGET`. Can be used in `#if` expressions to provide an alternative to functions which are not supported by `HWY_SCALAR`. In particular, for x86 we sometimes wish to specialize functions for AVX-512 because it provides many new instructions. This can be accomplished via `#if HWY_TARGET <= HWY_AVX3`, which means AVX-512 or better (e.g. `HWY_AVX3_DL`). This is because numerically lower targets are better, and no other platform has targets numerically less than those of x86. * `HWY_WANT_SSSE3`, `HWY_WANT_SSE4`: add SSSE3 and SSE4 to the baseline even if they are not marked as available by the compiler. On MSVC, the only ways to enable SSSE3 and SSE4 are defining these, or enabling AVX. * `HWY_VISIT_TARGETS(VISITOR)` expands to `VISITOR(HWY_AVX2, N_AVX2)` for all enabled targets (here: AVX2). The latter is the namespace name. This can be used to declare target-specific functions in a header, so that they can be called from within that namespace without the overhead of an additional `HWY_DYNAMIC_DISPATCH`. Note that the `foreach_targets.h` mechanism does not work for that because it must reside in a .cc file. You can detect and influence the set of supported targets: * `TargetName(t)` returns a string literal identifying the single target `t`, where `t` is typically `HWY_TARGET`. * `SupportedTargets()` returns an int64_t bitfield of enabled targets that are supported on this CPU. The return value may change after calling `DisableTargets`, but will never be zero. * `HWY_SUPPORTED_TARGETS` is equivalent to `SupportedTargets()` but more efficient if only a single target is enabled. * `DisableTargets(b)` causes subsequent `SupportedTargets()` to not return target(s) whose bits are set in `b`. This is useful for disabling specific targets if they are unhelpful or undesirable, e.g. due to memory bandwidth limitations. The effect is not cumulative; each call overrides the effect of all previous calls. Calling with `b == 0` restores the original behavior. Use `SetSupportedTargetsForTest` instead of this function for iteratively enabling specific targets for testing. * `SetSupportedTargetsForTest(b)` causes subsequent `SupportedTargets` to return `b`, minus those disabled via `DisableTargets`. `b` is typically derived from a subset of `SupportedTargets()`, e.g. each individual bit in order to test each supported target. Calling with `b == 0` restores the normal `SupportedTargets` behavior. ## Operations In the following, the argument or return type `V` denotes a vector with `N` lanes, and `M` a mask. Operations limited to certain vector types begin with a constraint of the form `V`: `{prefixes}[{bits}]`. The prefixes `u,i,f` denote unsigned, signed, and floating-point types, and bits indicates the number of bits per lane: 8, 16, 32, or 64. Any combination of the specified prefixes and bits are allowed. Abbreviations of the form `u32 = {u}{32}` may also be used. Note that Highway functions reside in `hwy::HWY_NAMESPACE`, whereas user-defined functions reside in `project::[nested]::HWY_NAMESPACE`. Highway functions generally take either a `D` or vector/mask argument. For targets where vectors and masks are defined in namespace `hwy`, the functions will be found via Argument-Dependent Lookup. However, this does not work for function templates, and RVV and SVE both use built-in vectors. Thus portable code must use one of the three following options, in descending order of preference: - `namespace hn = hwy::HWY_NAMESPACE;` alias used to prefix ops, e.g. `hn::LoadDup128(..)`; - `using hwy::HWY_NAMESPACE::LoadDup128;` declarations for each op used; - `using hwy::HWY_NAMESPACE;` directive. This is generally discouraged, especially for SIMD code residing in a header. Note that overloaded operators were not supported on `RVV` and `SVE` until recently. Unfortunately, clang's `SVE` comparison operators return integer vectors instead of the `svbool_t` type which exists for this purpose. To ensure your code works on all targets, we recommend instead using the corresponding equivalents mentioned in our description of each overloaded operator, especially for comparisons, for example `Lt` instead of `operator<`. ### Initialization * V **Zero**(D): returns N-lane vector with all bits set to 0. * V **Set**(D, T): returns N-lane vector with all lanes equal to the given value of type `T`. * V **Undefined**(D): returns uninitialized N-lane vector, e.g. for use as an output parameter. * V **Iota**(D, T2): returns N-lane vector where the lane with index `i` has the given value of type `T2` (the op converts it to T) + `i`. The least significant lane has index 0. This is useful in tests for detecting lane-crossing bugs. * V **SignBit**(D): returns N-lane vector with all lanes set to a value whose representation has only the most-significant bit set. * V **Dup128VecFromValues**(D d, T t0, .., T tK): Creates a vector from `K+1` values, broadcasted to each 128-bit block if `Lanes(d) >= 16/sizeof(T)` is true, where `K` is `16/sizeof(T) - 1`. Dup128VecFromValues returns the following values in each 128-bit block of the result, with `t0` in the least-significant (lowest-indexed) lane of each 128-bit block and `tK` in the most-significant (highest-indexed) lane of each 128-bit block: `{t0, t1, ..., tK}` * V **MaskedSetOr**(V no, M m, T a): returns N-lane vector with lane `i` equal to `a` if `m[i]` is true else `no[i]`. * V **MaskedSet**(D d, M m, T a): returns N-lane vector with lane `i` equal to `a` if `m[i]` is true else 0. ### Getting/setting lanes * T **GetLane**(V): returns lane 0 within `V`. This is useful for extracting `SumOfLanes` results. The following may be slow on some platforms (e.g. x86) and should not be used in time-critical code: * T **ExtractLane**(V, size_t i): returns lane `i` within `V`. `i` must be in `[0, Lanes(DFromV()))`. Potentially slow, it may be better to store an entire vector to an array and then operate on its elements. * V **InsertLane**(V, size_t i, T t): returns a copy of V whose lane `i` is set to `t`. `i` must be in `[0, Lanes(DFromV()))`. Potentially slow, it may be better set all elements of an aligned array and then `Load` it. ### Getting/setting blocks * Vec>> **ExtractBlock**<int kBlock>(V) : returns block `kBlock` of V, where `kBlock` is an index to a block that is `HWY_MIN(DFromV().MaxBytes(), 16)` bytes. `kBlock` must be in `[0, DFromV().MaxBlocks())`. * V **InsertBlock**<int kBlock>(V v, Vec>> blk_to_insert): Inserts `blk_to_insert`, with `blk_to_insert[i]` inserted into lane `kBlock * (16 / sizeof(TFromV)) + i` of the result vector, if `kBlock * 16 < Lanes(DFromV()) * sizeof(TFromV)` is true. Otherwise, returns `v` if `kBlock * 16` is greater than or equal to `Lanes(DFromV()) * sizeof(TFromV)`. `kBlock` must be in `[0, DFromV().MaxBlocks())`. * size_t **Blocks**(D d): Returns the number of 16-byte blocks if `Lanes(d) * sizeof(TFromD)` is greater than or equal to 16. Otherwise, returns 1 if `Lanes(d) * sizeof(TFromD)` is less than 16. ### Printing * V **Print**(D, const char* caption, V [, size_t lane][, size_t max_lanes]): prints `caption` followed by up to `max_lanes` comma-separated lanes from the vector argument, starting at index `lane`. Defined in hwy/print-inl.h, also available if hwy/tests/test_util-inl.h has been included. ### Tuples As a partial workaround to the "no vectors as class members" compiler limitation mentioned in "Using unspecified vector types", we provide special types able to carry 2, 3 or 4 vectors, denoted `Tuple{2-4}` below. Their type is unspecified, potentially built-in, so use the aliases `Vec{2-4}`. These can (only) be passed as arguments or returned from functions, and created/accessed using the functions in this section. * Tuple2 **Create2**(D, V v0, V v1): returns tuple such that `Get2<1>(tuple)` returns `v1`. * Tuple3 **Create3**(D, V v0, V v1, V v2): returns tuple such that `Get3<2>(tuple)` returns `v2`. * Tuple4 **Create4**(D, V v0, V v1, V v2, V v3): returns tuple such that `Get4<3>(tuple)` returns `v3`. The following take a `size_t` template argument indicating the zero-based index, from left to right, of the arguments passed to `Create{2-4}`. * V **Get2<size_t>**(Tuple2): returns the i-th vector passed to `Create2`. * V **Get3<size_t>**(Tuple3): returns the i-th vector passed to `Create3`. * V **Get4<size_t>**(Tuple4): returns the i-th vector passed to `Create4`. * Tuple2 **Set2<size_t>**(Tuple2 tuple, Vec v): sets the i-th vector * Tuple3 **Set3<size_t>**(Tuple3 tuple, Vec v): sets the i-th vector * Tuple4 **Set4<size_t>**(Tuple4 tuple, Vec v): sets the i-th vector ### Arithmetic * V **operator+**(V a, V b): returns `a[i] + b[i]` (mod 2^bits). Currently unavailable on SVE/RVV; use the equivalent `Add` instead. * V **operator-**(V a, V b): returns `a[i] - b[i]` (mod 2^bits). Currently unavailable on SVE/RVV; use the equivalent `Sub` instead. * V **AddSub**(V a, V b): returns `a[i] - b[i]` in the even lanes and `a[i] + b[i]` in the odd lanes. `AddSub(a, b)` is equivalent to `OddEven(Add(a, b), Sub(a, b))` or `Add(a, OddEven(b, Neg(b)))`, but `AddSub(a, b)` is more efficient than `OddEven(Add(a, b), Sub(a, b))` or `Add(a, OddEven(b, Neg(b)))` on some targets. * `V`: `{i,f}` \ V **Neg**(V a): returns `-a[i]`. * `V`: `i` \ V **SaturatedNeg**(V a): returns `a[i] == LimitsMin() ? LimitsMax() : -a[i]`. `SaturatedNeg(a)` is usually more efficient than `IfThenElse(Eq(a, Set(d, LimitsMin())), Set(d, LimitsMax()), Neg(a))`. * `V`: `{i,f}` \ V **Abs**(V a) returns the absolute value of `a[i]`; for integers, `LimitsMin()` maps to `LimitsMax() + 1`. * `V`: `i` \ V **SaturatedAbs**(V a) returns `a[i] == LimitsMin() ? LimitsMax() : (a[i] < 0 ? (-a[i]) : a[i])`. `SaturatedAbs(a)` is usually more efficient than `IfThenElse(Eq(a, Set(d, LimitsMin())), Set(d, LimitsMax()), Abs(a))`. * V **AbsDiff**(V a, V b): returns `|a[i] - b[i]|` in each lane. * V **PairwiseAdd**(D d, V a, V b): Add consecutive pairs of elements. Return the results of a and b interleaved, such that `r[i] = a[i] + a[i+1]` for even lanes and `r[i] = b[i-1] + b[i]` for odd lanes. * V **PairwiseSub**(D d, V a, V b): Subtract consecutive pairs of elements. Return the results of a and b interleaved, such that `r[i] = a[i+1] - a[i]` for even lanes and `r[i] = b[i] - b[i-1]` for odd lanes. * `V`: `{i,u}{8,16,32},f{16,32}`, `VW`: `Vec>>` \ VW **SumsOf2**(V v) returns the sums of 2 consecutive lanes, promoting each sum into a lane of `TFromV`. * `V`: `{i,u}{8,16}`, `VW`: `Vec>>` \ VW **SumsOf4**(V v) returns the sums of 4 consecutive lanes, promoting each sum into a lane of `TFromV`. * `V`: `{i,u}8`, `VW`: `Vec>>` \ VW **SumsOf8**(V v) returns the sums of 8 consecutive lanes, promoting each sum into a lane of `TFromV`. This is slower on RVV/WASM. * `V`: `{i,u}8`, `VW`: `Vec>>` \ VW **SumsOf8AbsDiff**(V a, V b) returns the same result as `SumsOf8(AbsDiff(a, b))`, but is more efficient on x86. * `V`: `{i,u}8`, `VW`: `Vec>>` \ VW **SumsOfAdjQuadAbsDiff**<int kAOffset, int kBOffset>(V a, V b) returns the sums of the absolute differences of 32-bit blocks of 8-bit integers, widened to `MakeWide>`. `kAOffset` must be between `0` and `HWY_MIN(1, (HWY_MAX_LANES_D(DFromV) - 1)/4)`. `kBOffset` must be between `0` and `HWY_MIN(3, (HWY_MAX_LANES_D(DFromV) - 1)/4)`. SumsOfAdjQuadAbsDiff computes `|a[a_idx] - b[b_idx]| + |a[a_idx+1] - b[b_idx+1]| + |a[a_idx+2] - b[b_idx+2]| + |a[a_idx+3] - b[b_idx+3]|` for each lane `i` of the result, where `a_idx` is equal to `kAOffset*4+((i/8)*16)+(i&7)` and where `b_idx` is equal to `kBOffset*4+((i/8)*16)`. If `Lanes(DFromV()) < (8 << kAOffset)` is true, then SumsOfAdjQuadAbsDiff returns implementation-defined values in any lanes past the first (lowest-indexed) lane of the result vector. SumsOfAdjQuadAbsDiff is only available if `HWY_TARGET != HWY_SCALAR`. * `V`: `{i,u}8`, `VW`: `Vec>>` \ VW **SumsOfShuffledQuadAbsDiff**<int kIdx3, int kIdx2, int kIdx1, int kIdx0>(V a, V b) first shuffles `a` as if by the `Per4LaneBlockShuffle(BitCast( RepartitionToWideX2>(), a))` operation, and then computes the sum of absolute differences of 32-bit blocks of 8-bit integers taken from the shuffled `a` vector and the `b` vector. `kIdx0`, `kIdx1`, `kIdx2`, and `kIdx3` must be between 0 and 3. SumsOfShuffledQuadAbsDiff computes `|a_shuf[a_idx] - b[b_idx]| + |a_shuf[a_idx+1] - b[b_idx+1]| + |a_shuf[a_idx+2] - b[b_idx+2]| + |a_shuf[a_idx+3] - b[b_idx+3]|` for each lane `i` of the result, where `a_shuf` is equal to `BitCast(DFromV(), Per4LaneBlockShuffle(BitCast(RepartitionToWideX2>(), a))`, `a_idx` is equal to `(i/4)*8+(i&3)`, and `b_idx` is equal to `(i/2)*4`. If `Lanes(DFromV()) < 16` is true, SumsOfShuffledQuadAbsDiff returns implementation-defined results in any lanes where `(i/4)*8+(i&3)+3 >= Lanes(d)`. The results of SumsOfAdjQuadAbsDiff are implementation-defined if `kIdx0 >= Lanes(DFromV()) / 4`. The results of any lanes past the first (lowest-indexed) lane of SumsOfAdjQuadAbsDiff are implementation-defined if `kIdx1 >= Lanes(DFromV()) / 4`. SumsOfShuffledQuadAbsDiff is only available if `HWY_TARGET != HWY_SCALAR`. * `V`: `{u,i}{8,16}` \ V **SaturatedAdd**(V a, V b) returns `a[i] + b[i]` saturated to the minimum/maximum representable value. * `V`: `{u,i}{8,16}` \ V **SaturatedSub**(V a, V b) returns `a[i] - b[i]` saturated to the minimum/maximum representable value. * `V`: `{u,i}` \ V **AverageRound**(V a, V b) returns `(a[i] + b[i] + 1) >> 1`. * V **Clamp**(V a, V lo, V hi): returns `a[i]` clamped to `[lo[i], hi[i]]`. * V **operator/**(V a, V b): returns `a[i] / b[i]` in each lane. Currently unavailable on SVE/RVV; use the equivalent `Div` instead. For integer vectors, `Div(a, b)` returns an implementation-defined value in any lanes where `b[i] == 0`. For signed integer vectors, `Div(a, b)` returns an implementation-defined value in any lanes where `a[i] == LimitsMin() && b[i] == -1`. * `V`: `{u,i}` \ V **operator%**(V a, V b): returns `a[i] % b[i]` in each lane. Currently unavailable on SVE/RVV; use the equivalent `Mod` instead. `Mod(a, b)` returns an implementation-defined value in any lanes where `b[i] == 0`. For signed integer vectors, `Mod(a, b)` returns an implementation-defined value in any lanes where `a[i] == LimitsMin() && b[i] == -1`. * `V`: `{f}` \ V **Sqrt**(V a): returns `sqrt(a[i])`. * `V`: `{f}` \ V **ApproximateReciprocalSqrt**(V a): returns an approximation of `1.0 / sqrt(a[i])`. `sqrt(a) ~= ApproximateReciprocalSqrt(a) * a`. x86 and PPC provide 12-bit approximations but the error on Arm is closer to 1%. * `V`: `{f}` \ V **ApproximateReciprocal**(V a): returns an approximation of `1.0 / a[i]`. * `V`: `{f}` \ V **GetExponent**(V v): returns the exponent of `v[i]` as a floating-point value. Essentially calculates `floor(log2(x))`. * `V`: `{f}`, `VU`: `Vec>>` \ VU **GetBiasedExponent**(V v): returns the biased exponent of `v[i]` as an unsigned integer value. #### Min/Max **Note**: Min/Max corner cases are target-specific and may change. If either argument is qNaN, x86 SIMD returns the second argument, Armv7 Neon returns NaN, Wasm is supposed to return NaN but does not always, but other targets actually uphold IEEE 754-2019 minimumNumber: returning the other argument if exactly one is qNaN, and NaN if both are. * V **Min**(V a, V b): returns `min(a[i], b[i])`. * V **Max**(V a, V b): returns `max(a[i], b[i])`. * V **MinNumber**(V a, V b): returns `min(a[i], b[i])` if `a[i]` and `b[i]` are both non-NaN. If one of `a[i]` or `b[i]` is qNaN and the other value is non-NaN, `MinNumber(a, b)` returns the non-NaN value. If one of `a[i]` or `b[i]` is sNaN and the other value is non-NaN, it is implementation-defined whether `MinNumber(a, b)` returns `a[i]` or `b[i]`. Otherwise, if `a[i]` and `b[i]` are both NaN, `MinNumber(a, b)` returns NaN. * V **MaxNumber**(V a, V b): returns `max(a[i], b[i])` if `a[i]` and `b[i]` are both non-NaN. If one of `a[i]` or `b[i]` is qNaN and the other value is non-NaN, `MaxNumber(a, b)` returns the non-NaN value. If one of `a[i]` or `b[i]` is sNaN and the other value is non-NaN, it is implementation-defined whether `MaxNumber(a, b)` returns `a[i]` or `b[i]`. Otherwise, if `a[i]` and `b[i]` are both NaN, `MaxNumber(a, b)` returns NaN. * V **MinMagnitude**(V a, V b): returns the number with the smaller magnitude if `a[i]` and `b[i]` are both non-NaN values. If `a[i]` and `b[i]` are both non-NaN, `MinMagnitude(a, b)` returns `(|a[i]| < |b[i]| || (|a[i]| == |b[i]| && a[i] < b[i])) ? a[i] : b[i]`. Otherwise, the results of `MinMagnitude(a, b)` are implementation-defined if `a[i]` is NaN or `b[i]` is NaN. * V **MaxMagnitude**(V a, V b): returns the number with the larger magnitude if `a[i]` and `b[i]` are both non-NaN values. If `a[i]` and `b[i]` are both non-NaN, `MaxMagnitude(a, b)` returns `(|a[i]| < |b[i]| || (|a[i]| == |b[i]| && a[i] < b[i])) ? b[i] : a[i]`. Otherwise, the results of `MaxMagnitude(a, b)` are implementation-defined if `a[i]` is NaN or `b[i]` is NaN. All other ops in this section are only available if `HWY_TARGET != HWY_SCALAR`: * `V`: `u64` \ V **Min128**(D, V a, V b): returns the minimum of unsigned 128-bit values, each stored as an adjacent pair of 64-bit lanes (e.g. indices 1 and 0, where 0 is the least-significant 64-bits). * `V`: `u64` \ V **Max128**(D, V a, V b): returns the maximum of unsigned 128-bit values, each stored as an adjacent pair of 64-bit lanes (e.g. indices 1 and 0, where 0 is the least-significant 64-bits). * `V`: `u64` \ V **Min128Upper**(D, V a, V b): for each 128-bit key-value pair, returns `a` if it is considered less than `b` by Lt128Upper, else `b`. * `V`: `u64` \ V **Max128Upper**(D, V a, V b): for each 128-bit key-value pair, returns `a` if it is considered > `b` by Lt128Upper, else `b`. #### Multiply * V operator*(V a, V b): returns `r[i] = a[i] * b[i]`, truncating it to the lower half for integer inputs. Currently unavailable on SVE/RVV; use the equivalent `Mul` instead. * `V`: `f` V **MulRound**(V a, V b): Multiplies `a[i]` by `b[i]` and rounds the result to the nearest int with ties going to even. * `V`: `f`, `VI`: `Vec>>` \ V **MulByPow2**(V a, VI b): Multiplies `a[i]` by `2^b[i]`. `MulByPow2(a, b)` is equivalent to `std::ldexp(a[i], HWY_MIN(HWY_MAX(b[i], LimitsMin()), LimitsMax()))`. * `V`: `f` V **MulByFloorPow2**(V a, V b): Multiplies `a[i]` by `2^floor(b[i])`. It is implementation-defined if `MulByFloorPow2(a, b)` returns zero or NaN in any lanes where `a[i]` is NaN and `b[i]` is equal to negative infinity. It is implementation-defined if `MulByFloorPow2(a, b)` returns positive infinity or NaN in any lanes where `a[i]` is NaN and `b[i]` is equal to positive infinity. If `a[i]` is a non-NaN value and `b[i]` is equal to negative infinity, `MulByFloorPow2(a, b)` is equivalent to `a[i] * 0.0`. If `b[i]` is NaN or if `a[i]` is non-NaN and `b[i]` is positive infinity, `MulByFloorPow2(a, b)` is equivalent to `a[i] * b[i]`. If `b[i]` is a finite value, `MulByFloorPow2(a, b)` is equivalent to `MulByPow2(a, FloorInt(b))`. * `V`: `{u,i}` \ V **MulHigh**(V a, V b): returns the upper half of `a[i] * b[i]` in each lane. * `V`: `i16` \ V **MulFixedPoint15**(V a, V b): returns the result of multiplying two Q1.15 fixed-point numbers. This corresponds to doubling the multiplication result and storing the upper half. Results are implementation-defined iff both inputs are -32768. * `V`: `{u,i}` \ V2 **MulEven**(V a, V b): returns double-wide result of `a[i] * b[i]` for every even `i`, in lanes `i` (lower) and `i + 1` (upper). `V2` is a vector with double-width lanes, or the same as `V` for 64-bit inputs (which are only supported if `HWY_TARGET != HWY_SCALAR`). * `V`: `{u,i}` \ V **MulOdd**(V a, V b): returns double-wide result of `a[i] * b[i]` for every odd `i`, in lanes `i - 1` (lower) and `i` (upper). Only supported if `HWY_TARGET != HWY_SCALAR`. * `V`: `{bf,u,i}16`, `D`: `RepartitionToWide>` \ Vec<D> **WidenMulPairwiseAdd**(D d, V a, V b): widens `a` and `b` to `TFromD` and computes `a[2*i+1]*b[2*i+1] + a[2*i+0]*b[2*i+0]`. * `VI`: `i8`, `VU`: `Vec>>`, `DI`: `RepartitionToWide>` \ Vec<DI> **SatWidenMulPairwiseAdd**(DI di, VU a_u, VI b_i) : widens `a_u` and `b_i` to `TFromD` and computes `a_u[2*i+1]*b_i[2*i+1] + a_u[2*i+0]*b_i[2*i+0]`, saturated to the range of `TFromD`. * `DW`: `i32`, `D`: `Rebind>, DW>`, `VW`: `Vec`, `V`: `Vec` \ Vec<D> **SatWidenMulPairwiseAccumulate**(DW, V a, V b, VW sum) : widens `a[i]` and `b[i]` to `TFromD` and computes `a[2*i]*b[2*i] + a[2*i+1]*b[2*i+1] + sum[i]`, saturated to the range of `TFromD`. * `DW`: `i32`, `D`: `Rebind>, DW>`, `VW`: `Vec`, `V`: `Vec` \ VW **SatWidenMulAccumFixedPoint**(DW, V a, V b, VW sum)**: First, widens `a` and `b` to `TFromD`, then adds `a[i] * b[i] * 2` to `sum[i]`, saturated to the range of `TFromD`. If `a[i] == LimitsMin>() && b[i] == LimitsMin>()`, it is implementation-defined whether `a[i] * b[i] * 2` is first saturated to `TFromD` prior to the addition of `a[i] * b[i] * 2` to `sum[i]`. * `V`: `{bf,u,i}16`, `DW`: `RepartitionToWide>`, `VW`: `Vec` \ VW **ReorderWidenMulAccumulate**(DW d, V a, V b, VW sum0, VW& sum1): widens `a` and `b` to `TFromD`, then adds `a[i] * b[i]` to either `sum1[j]` or lane `j` of the return value, where `j = P(i)` and `P` is a permutation. The only guarantee is that `SumOfLanes(d, Add(return_value, sum1))` is the sum of all `a[i] * b[i]`. This is useful for computing dot products and the L2 norm. The initial value of `sum1` before any call to `ReorderWidenMulAccumulate` must be zero (because it is unused on some platforms). It is safe to set the initial value of `sum0` to any vector `v`; this has the effect of increasing the total sum by `GetLane(SumOfLanes(d, v))` and may be slightly more efficient than later adding `v` to `sum0`. * `VW`: `{f,u,i}32` \ VW **RearrangeToOddPlusEven**(VW sum0, VW sum1): returns in each 32-bit lane with index `i` `a[2*i+1]*b[2*i+1] + a[2*i+0]*b[2*i+0]`. `sum0` must be the return value of a prior `ReorderWidenMulAccumulate`, and `sum1` must be its last (output) argument. In other words, this strengthens the invariant of `ReorderWidenMulAccumulate` such that each 32-bit lane is the sum of the widened products whose 16-bit inputs came from the top and bottom halves of the 32-bit lane. This is typically called after a series of calls to `ReorderWidenMulAccumulate`, as opposed to after each one. Exception: if `HWY_TARGET == HWY_SCALAR`, returns `a[0]*b[0]`. Note that the initial value of `sum1` must be zero, see `ReorderWidenMulAccumulate`. * `VN`: `{u,i}{8,16}`, `D`: `RepartitionToWideX2>` \ Vec<D> **SumOfMulQuadAccumulate**(D d, VN a, VN b, Vec<D> sum): widens `a` and `b` to `TFromD` and computes `sum[i] + a[4*i+3]*b[4*i+3] + a[4*i+2]*b[4*i+2] + a[4*i+1]*b[4*i+1] + a[4*i+0]*b[4*i+0]` * `VN_I`: `i8`, `VN_U`: `Vec>>`, `DI`: `Repartition>` \ Vec<DI> **SumOfMulQuadAccumulate**(DI di, VN_U a_u, VN_I b_i, Vec<DI> sum): widens `a` and `b` to `TFromD` and computes `sum[i] + a[4*i+3]*b[4*i+3] + a[4*i+2]*b[4*i+2] + a[4*i+1]*b[4*i+1] + a[4*i+0]*b[4*i+0]` * `V`: `{u,i}{8,16,32},{f}16`, \ `VW`: `Vec>`: \ `VW **WidenMulAccumulate**(D, V a, V b, VW low, VW& high)`: widens `a` and `b`, multiplies them together, then adds them to `Combine(Twice(), high, low)`. Returns the lower half of the result, and sets high to the upper half. #### Fused multiply-add When implemented using special instructions, these functions are more precise and faster than separate multiplication followed by addition. The `*Sub` variants are somewhat slower on Arm, and unavailable for integer inputs; if the `c` argument is a constant, it would be better to negate it and use `MulAdd`. * V **MulAdd**(V a, V b, V c): returns `a[i] * b[i] + c[i]`. * V **NegMulAdd**(V a, V b, V c): returns `-a[i] * b[i] + c[i]`. * V **MulSub**(V a, V b, V c): returns `a[i] * b[i] - c[i]`. * V **NegMulSub**(V a, V b, V c): returns `-a[i] * b[i] - c[i]`. * V **MulAddSub**(V a, V b, V c): returns `a[i] * b[i] - c[i]` in the even lanes and `a[i] * b[i] + c[i]` in the odd lanes. `MulAddSub(a, b, c)` is equivalent to `OddEven(MulAdd(a, b, c), MulSub(a, b, c))` or `MulAddSub(a, b, OddEven(c, Neg(c))`, but `MulSub(a, b, c)` is more efficient on some targets (including AVX2/AVX3). * V **MulSubAdd**(V a, V b, V c): returns `a[i] * b[i] + c[i]` in the even lanes and `a[i] * b[i] - c[i]` in the odd lanes. Essentially, MulAddSub with `c[i]` negated. * `V`: `bf16`, `D`: `RepartitionToWide>`, `VW`: `Vec` \ VW **MulEvenAdd**(D d, V a, V b, VW c): equivalent to and potentially more efficient than `MulAdd(PromoteEvenTo(d, a), PromoteEvenTo(d, b), c)`. * `V`: `bf16`, `D`: `RepartitionToWide>`, `VW`: `Vec` \ VW **MulOddAdd**(D d, V a, V b, VW c): equivalent to and potentially more efficient than `MulAdd(PromoteOddTo(d, a), PromoteOddTo(d, b), c)`. #### Masked arithmetic All ops in this section return `no` for `mask=false` lanes, and suppress any exceptions for those lanes if that is supported by the ISA. When exceptions are not a concern, these are equivalent to, and potentially more efficient than, `IfThenElse(m, Add(a, b), no);` etc. * `V`: `{f}` \ V **MaskedSqrtOr**(V no, M m, V a): returns `sqrt(a[i])` or `no[i]` if `m[i]` is false. * V **MaskedMinOr**(V no, M m, V a, V b): returns `Min(a, b)[i]` or `no[i]` if `m[i]` is false. * V **MaskedMaxOr**(V no, M m, V a, V b): returns `Max(a, b)[i]` or `no[i]` if `m[i]` is false. * V **MaskedAddOr**(V no, M m, V a, V b): returns `a[i] + b[i]` or `no[i]` if `m[i]` is false. * V **MaskedSubOr**(V no, M m, V a, V b): returns `a[i] - b[i]` or `no[i]` if `m[i]` is false. * V **MaskedMulOr**(V no, M m, V a, V b): returns `a[i] * b[i]` or `no[i]` if `m[i]` is false. * V **MaskedDivOr**(V no, M m, V a, V b): returns `a[i] / b[i]` or `no[i]` if `m[i]` is false. * `V`: `{u,i}` \ V **MaskedModOr**(V no, M m, V a, V b): returns `a[i] % b[i]` or `no[i]` if `m[i]` is false. * `V`: `{u,i}{8,16}` \ V **MaskedSatAddOr**(V no, M m, V a, V b): returns `a[i] + b[i]` saturated to the minimum/maximum representable value, or `no[i]` if `m[i]` is false. * `V`: `{u,i}{8,16}` \ V **MaskedSatSubOr**(V no, M m, V a, V b): returns `a[i] + b[i]` saturated to the minimum/maximum representable value, or `no[i]` if `m[i]` is false. * V **MaskedMulAddOr**(V no, M m, V mul, V x, V add): returns `mul[i] * x[i] + add[i]` or `no[i]` if `m[i]` is false. * `V`: `{i,f}` \ V **MaskedAbsOr**(V no, M m, V a): returns the absolute value of `a[i]` where m is active and returns `no[i]` otherwise. #### Zero masked arithmetic All ops in this section return `0` for `mask=false` lanes. These are equivalent to, and potentially more efficient than, `IfThenElseZero(m, Add(a, b));` etc. * `V`: `{i,f}` \ V **MaskedAbs**(M m, V a): returns the absolute value of `a[i]` where m is active and returns zero otherwise. * V **MaskedMax**(M m, V a, V b): returns `Max(a, b)[i]` or `zero` if `m[i]` is false. * V **MaskedAdd**(M m, V a, V b): returns `a[i] + b[i]` or `0` if `m[i]` is false. * V **MaskedSub**(M m, V a, V b): returns `a[i] - b[i]` or `0` if `m[i]` is false. * V **MaskedMul**(M m, V a, V b): returns `a[i] * b[i]` or `0` if `m[i]` is false. * V **MaskedDiv**(M m, V a, V b): returns `a[i] / b[i]` or `0` if `m[i]` is false. * `V`: `{u,i}{8,16}` \ V **MaskedSaturatedAdd**(M m, V a, V b): returns `a[i] + b[i]` saturated to the minimum/maximum representable value, or `0` if `m[i]` is false. * `V`: `{u,i}{8,16}` \ V **MaskedSaturatedSub**(M m, V a, V b): returns `a[i] - b[i]` saturated to the minimum/maximum representable value, or `0` if `m[i]` is false. * `V`: `i16` \ V **MaskedMulFixedPoint15**(M m, V a, V b): returns returns the result of multiplying two Q1.15 fixed-point numbers, or `0` if `m[i]` is false. * V **MaskedMulAdd**(M m, V a, V b, V c): returns `a[i] * b[i] + c[i]` or `0` if `m[i]` is false. * V **MaskedNegMulAdd**(M m, V a, V b, V c): returns `-a[i] * b[i] + c[i]` or `0` if `m[i]` is false. * `V`: `{bf,u,i}16`, `D`: `RepartitionToWide>` \ Vec<D> **MaskedWidenMulPairwiseAdd**(D d, M m, V a, V b): widens `a` and `b` to `TFromD` and computes `a[2*i+1]*b[2*i+1] + a[2*i+0]*b[2*i+0]`, or `0` if `m[i]` is false. * `V`: `{f}` \ V **MaskedSqrt**(M m, V a): returns `sqrt(a[i])` where m is true, and zero otherwise. * `V`: `{f}` \ V **MaskedApproximateReciprocalSqrt**(M m, V a): returns the result of ApproximateReciprocalSqrt where m is true and zero otherwise. * `V`: `{f}` \ V **MaskedApproximateReciprocal**(M m, V a): returns the result of ApproximateReciprocal where m is true and zero otherwise. #### Complex number operations Complex types are represented as complex value pairs of real and imaginary components, with the real components in even-indexed lanes and the imaginary components in odd-indexed lanes. All multiplies in this section are performing complex multiplication, i.e. `(a + ib)(c + id)`. Take `j` to be the even values of `i`. * `V`: `{f}` \ V **ComplexConj**(V v): returns the complex conjugate of the vector, this negates the imaginary lanes. This is equivalent to `OddEven(Neg(a), a)`. * `V`: `{f}` \ V **MulComplex**(V a, V b): returns `(a[j] + i.a[j + 1])(b[j] + i.b[j + 1])` * `V`: `{f}` \ V **MulComplexConj**(V a, V b): returns `(a[j] + i.a[j + 1])(b[j] - i.b[j + 1])` * `V`: `{f}` \ V **MulComplexAdd**(V a, V b, V c): returns `(a[j] + i.a[j + 1])(b[j] + i.b[j + 1]) + (c[j] + i.c[j + 1])` * `V`: `{f}` \ V **MulComplexConjAdd**(V a, V b, V c): returns `(a[j] + i.a[j + 1])(b[j] - i.b[j + 1]) + (c[j] + i.c[j + 1])` * `V`: `{f}` \ V **MaskedMulComplexConjAdd**(M mask, V a, V b, V c): returns `(a[j] + i.a[j + 1])(b[j] - i.b[j + 1]) + (c[j] + i.c[j + 1])` or `0` if `mask[i]` is false. * `V`: `{f}` \ V **MaskedMulComplexConj**(M mask, V a, V b): returns `(a[j] + i.a[j + 1])(b[j] - i.b[j + 1])` or `0` if `mask[i]` is false. * `V`: `{f}` \ V **MaskedMulComplexOr**(V no, M mask, V a, V b): returns `(a[j] + i.a[j + 1])(b[j] + i.b[j + 1])` or `no[i]` if `mask[i]` is false. #### Shifts **Note**: Counts not in `[0, sizeof(T)*8)` yield implementation-defined results. Left-shifting signed `T` and right-shifting positive signed `T` is the same as shifting `MakeUnsigned` and casting to `T`. Right-shifting negative signed `T` is the same as an unsigned shift, except that 1-bits are shifted in. Compile-time constant shifts: the amount must be in [0, sizeof(T)*8). Generally the most efficient variant, but 8-bit shifts are potentially slower than other lane sizes, and `RotateRight` is often emulated with shifts: * `V`: `{u,i}` \ V **ShiftLeft**<int>(V a) returns `a[i] << int`. * `V`: `{u,i}` \ V **ShiftRight**<int>(V a) returns `a[i] >> int`. * `V`: `{u,i}` \ V **RoundingShiftRight**<int>(V a) returns `((int == 0) ? a[i] : (((a[i] >> (int - 1)) + 1) >> 1)`. * `V`: `{u,i}` \ V **RotateLeft**<int>(V a) returns `(a[i] << int) | (static_cast(a[i]) >> (sizeof(T)*8 - int))`. * `V`: `{u,i}` \ V **RotateRight**<int>(V a) returns `(static_cast(a[i]) >> int) | (a[i] << (sizeof(T)*8 - int))`. Shift all lanes by the same (not necessarily compile-time constant) amount: * `V`: `{u,i}` \ V **ShiftLeftSame**(V a, int bits) returns `a[i] << bits`. * `V`: `{u,i}` \ V **ShiftRightSame**(V a, int bits) returns `a[i] >> bits`. * `V`: `{u,i}` \ V **RoundingShiftRightSame**<int kShiftAmt>(V a, int bits) returns `((bits == 0) ? a[i] : (((a[i] >> (bits - 1)) + 1) >> 1)`. * `V`: `{u,i}` \ V **RotateLeftSame**(V a, int bits) returns `(a[i] << shl_bits) | (static_cast(a[i]) >> (sizeof(T)*8 - shl_bits))`, where `shl_bits` is equal to `bits & (sizeof(T)*8 - 1)`. * `V`: `{u,i}` \ V **RotateRightSame**(V a, int bits) returns `(static_cast(a[i]) >> shr_bits) | (a[i] >> (sizeof(T)*8 - shr_bits))`, where `shr_bits` is equal to `bits & (sizeof(T)*8 - 1)`. Per-lane variable shifts (slow if SSSE3/SSE4, or 16-bit, or Shr i64 on AVX2): * `V`: `{u,i}` \ V **operator<<**(V a, V b) returns `a[i] << b[i]`. Currently unavailable on SVE/RVV; use the equivalent `Shl` instead. * `V`: `{u,i}` \ V **operator>>**(V a, V b) returns `a[i] >> b[i]`. Currently unavailable on SVE/RVV; use the equivalent `Shr` instead. * `V`: `{u,i}` \ V **RoundingShr**(V a, V b) returns `((b[i] == 0) ? a[i] : (((a[i] >> (b[i] - 1)) + 1) >> 1)`. * `V`: `{u,i}` \ V **Rol**(V a, V b) returns `(a[i] << (b[i] & shift_amt_mask)) | (static_cast(a[i]) >> ((sizeof(T)*8 - b[i]) & shift_amt_mask))`, where `shift_amt_mask` is equal to `sizeof(T)*8 - 1`. * `V`: `{u,i}` \ V **Ror**(V a, V b) returns `(static_cast(a[i]) >> (b[i] & shift_amt_mask)) | (a[i] << ((sizeof(T)*8 - b[i]) & shift_amt_mask))`, where `shift_amt_mask` is equal to `sizeof(T)*8 - 1`. A compound shift on 64-bit values: * `V`: `{u,i}64`, `VI`: `{u,i}8` \ V **MultiRotateRight**(V vals, VI indices): returns a vector with `(vals[i] >> indices[i*8+j]) & 0xff` in byte `j` of vector `r[i]` for each `j` between 0 and 7. If `indices[i*8+j]` is less than 0 or greater than 63, byte `j` of `r[i]` is implementation-defined. `VI` must be either `Vec>>` or `Vec>>`. `MultiRotateRight(V vals, VI indices)` is equivalent to the following loop (where `N` is equal to `Lanes(DFromV())`): ``` for(size_t i = 0; i < N; i++) { uint64_t shift_result = 0; for(int j = 0; j < 8; j++) { uint64_t rot_result = (static_cast(v[i]) >> indices[i*8+j]) | (static_cast(v[i]) << ((-indices[i*8+j]) & 63)); #if HWY_IS_LITTLE_ENDIAN shift_result |= (rot_result & 0xff) << (j * 8); #else shift_result |= (rot_result & 0xff) << ((j ^ 7) * 8); #endif } r[i] = shift_result; } ``` #### Masked Shifts * `V`: `{u,i}` \ V **MaskedShiftLeft**<int>(M mask, V a) returns `a[i] << int` or `0` if `mask[i]` is false. * `V`: `{u,i}` \ V **MaskedShiftRight**<int>(M mask, V a) returns `a[i] >> int` or `0` if `mask[i]` is false. * `V`: `{u,i}` \ V **MaskedShiftRightOr**<int>(V no, M mask, V a) returns `a[i] >> int` or `no[i]` if `mask[i]` is false. * `V`: `{u,i}` \ V **MaskedShrOr**(V no, M mask, V a, V shifts) returns `a[i] >> shifts[i]` or `no[i]` if `mask[i]` is false. #### Floating-point rounding * `V`: `{f}` \ V **Round**(V v): returns `v[i]` rounded towards the nearest integer, with ties to even. * `V`: `{f}` \ V **Trunc**(V v): returns `v[i]` rounded towards zero (truncate). * `V`: `{f}` \ V **Ceil**(V v): returns `v[i]` rounded towards positive infinity (ceiling). * `V`: `{f}` \ V **Floor**(V v): returns `v[i]` rounded towards negative infinity. #### Floating-point classification * `V`: `{f}` \ M **IsNaN**(V v): returns mask indicating whether `v[i]` is "not a number" (unordered). * `V`: `{f}` \ M **IsEitherNaN**(V a, V b): equivalent to `Or(IsNaN(a), IsNaN(b))`, but `IsEitherNaN(a, b)` is more efficient than `Or(IsNaN(a), IsNaN(b))` on x86. * `V`: `{f}` \ M **IsInf**(V v): returns mask indicating whether `v[i]` is positive or negative infinity. * `V`: `{f}` \ M **IsFinite**(V v): returns mask indicating whether `v[i]` is neither NaN nor infinity, i.e. normal, subnormal or zero. Equivalent to `Not(Or(IsNaN(v), IsInf(v)))`. #### Masked floating-point classification All ops in this section return `false` for `mask=false` lanes. These are equivalent to, and potentially more efficient than, `And(m, IsNaN(v));` etc. * `V`: `{f}` \ M **MaskedIsNaN**(M m, V v): returns mask indicating whether `v[i]` is "not a number" (unordered) or `false` if `m[i]` is false. ### Logical * `V`: `{u,i}` \ V **PopulationCount**(V a): returns the number of 1-bits in each lane, i.e. `PopCount(a[i])`. * `V`: `{u,i}` \ V **LeadingZeroCount**(V a): returns the number of leading zeros in each lane. For any lanes where ```a[i]``` is zero, ```sizeof(TFromV) * 8``` is returned in the corresponding result lanes. * `V`: `{u,i}` \ V **MaskedLeadingZeroCount**(M m, V a): returns the result of LeadingZeroCount where `m[i]` is true, and zero otherwise. * `V`: `{u,i}` \ V **TrailingZeroCount**(V a): returns the number of trailing zeros in each lane. For any lanes where ```a[i]``` is zero, ```sizeof(TFromV) * 8``` is returned in the corresponding result lanes. * `V`: `{u,i}` \ V **HighestSetBitIndex**(V a): returns the index of the highest set bit of each lane. For any lanes of a signed vector type where ```a[i]``` is zero, an unspecified negative value is returned in the corresponding result lanes. For any lanes of an unsigned vector type where ```a[i]``` is zero, an unspecified value that is greater than ```HighestValue>>()``` is returned in the corresponding result lanes. * bool **AllBits1**(D, V v): returns whether all bits are set. * bool **AllBits0**(D, V v): returns whether all bits are clear. The following operate on individual bits within each lane. Note that the non-operator functions (`And` instead of `&`) must be used for floating-point types, and on SVE/RVV. * `V`: `{u,i}` \ V **operator&**(V a, V b): returns `a[i] & b[i]`. Currently unavailable on SVE/RVV; use the equivalent `And` instead. * `V`: `{u,i}` \ V **operator|**(V a, V b): returns `a[i] | b[i]`. Currently unavailable on SVE/RVV; use the equivalent `Or` instead. * `V`: `{u,i}` \ V **operator^**(V a, V b): returns `a[i] ^ b[i]`. Currently unavailable on SVE/RVV; use the equivalent `Xor` instead. * `V`: `{u,i}` \ V **Not**(V v): returns `~v[i]`. * V **AndNot**(V a, V b): returns `~a[i] & b[i]`. * V **MaskedOr**(M m, V a, V b): returns `a[i] | b[i]` or `zero` if `m[i]` is false. The following three-argument functions may be more efficient than assembling them from 2-argument functions: * V **Xor3**(V x1, V x2, V x3): returns `x1[i] ^ x2[i] ^ x3[i]`. This is more efficient than `Or3` on some targets. When inputs are disjoint (no bit is set in more than one argument), `Xor3` and `Or3` are equivalent and you should use the former. * V **Or3**(V o1, V o2, V o3): returns `o1[i] | o2[i] | o3[i]`. This is less efficient than `Xor3` on some targets; use that where possible. * V **OrAnd**(V o, V a1, V a2): returns `o[i] | (a1[i] & a2[i])`. * V **BitwiseIfThenElse**(V mask, V yes, V no): returns `((mask[i] & yes[i]) | (~mask[i] & no[i]))`. `BitwiseIfThenElse` is equivalent to, but potentially more efficient than `Or(And(mask, yes), AndNot(mask, no))`. Special functions for signed types: * `V`: `{f}` \ V **CopySign**(V a, V b): returns the number with the magnitude of `a` and sign of `b`. * `V`: `{f}` \ V **CopySignToAbs**(V a, V b): as above, but potentially slightly more efficient; requires the first argument to be non-negative. * `V`: `{i}` \ V **BroadcastSignBit**(V a) returns `a[i] < 0 ? -1 : 0`. * `V`: `{i,f}` \ V **ZeroIfNegative**(V v): returns `v[i] < 0 ? 0 : v[i]`. * `V`: `{i,f}` \ V **IfNegativeThenElse**(V v, V yes, V no): returns `v[i] < 0 ? yes[i] : no[i]`. This may be more efficient than `IfThenElse(Lt..)`. * `V`: `{i,f}` \ V **IfNegativeThenElseZero**(V v, V yes): returns `v[i] < 0 ? yes[i] : 0`. `IfNegativeThenElseZero(v, yes)` is equivalent to but more efficient than `IfThenElseZero(IsNegative(v), yes)` or `IfNegativeThenElse(v, yes, Zero(d))` on some targets. * `V`: `{i,f}` \ V **IfNegativeThenZeroElse**(V v, V no): returns `v[i] < 0 ? 0 : no`. `IfNegativeThenZeroElse(v, no)` is equivalent to but more efficient than `IfThenZeroElse(IsNegative(v), no)` or `IfNegativeThenElse(v, Zero(d), no)` on some targets. * `V`: `{i,f}` \ V **IfNegativeThenNegOrUndefIfZero**(V mask, V v): returns `mask[i] < 0 ? (-v[i]) : ((mask[i] > 0) ? v[i] : impl_defined_val)`, where `impl_defined_val` is an implementation-defined value that is equal to either 0 or `v[i]`. `IfNegativeThenNegOrUndefIfZero(mask, v)` is more efficient than `IfNegativeThenElse(mask, Neg(v), v)` for I8/I16/I32 vectors that are 32 bytes or smaller on SSSE3/SSE4/AVX2/AVX3 targets. ### Masks Let `M` denote a mask capable of storing a logical true/false for each lane (the encoding depends on the platform). #### Create mask * M **FirstN**(D, size_t N): returns mask with the first `N` lanes (those with index `< N`) true. `N >= Lanes(D())` results in an all-true mask. `N` must not exceed `LimitsMax))>>()`. Useful for implementing "masked" stores by loading `prev` followed by `IfThenElse(FirstN(d, N), what_to_store, prev)`. * M **MaskFromVec**(V v): returns false in lane `i` if `v[i] == 0`, or true if `v[i]` has all bits set. The result is *implementation-defined* if `v[i]` is neither zero nor all bits set. * M **LoadMaskBits**(D, const uint8_t* p): returns a mask indicating whether the i-th bit in the array is set. Loads bytes and bits in ascending order of address and index. At least 8 bytes of `p` must be readable, but only `(Lanes(D()) + 7) / 8` need be initialized. Any unused bits (happens if `Lanes(D()) < 8`) are treated as if they were zero. * M **Dup128MaskFromMaskBits**(D d, unsigned mask_bits): returns a mask with lane `i` set to `((mask_bits >> (i & (16 / sizeof(T) - 1))) & 1) != 0`. * M **MaskFalse(D)**: returns an all-false mask. `MaskFalse(D())` is equivalent to `MaskFromVec(Zero(D()))`, but `MaskFalse(D())` is more efficient than `MaskFromVec(Zero(D()))` on AVX3, RVV, and SVE. `MaskFalse(D())` is also equivalent to `FirstN(D(), 0)` or `Dup128MaskFromMaskBits(D(), 0)`, but `MaskFalse(D())` is usually more efficient. #### Convert mask * M1 **RebindMask**(D, M2 m): returns same mask bits as `m`, but reinterpreted as a mask for lanes of type `TFromD`. `M1` and `M2` must have the same number of lanes. * V **VecFromMask**(D, M m): returns 0 in lane `i` if `m[i] == false`, otherwise all bits set. * uint64_t **BitsFromMask**(D, M m): returns bits `b` such that `(b >> i) & 1` indicates whether `m[i]` was set, and any remaining bits in the `uint64_t` are zero. This is only available if `HWY_MAX_BYTES <= 64`, because 512-bit vectors are the longest for which there are no more than 64 lanes and thus mask bits. * size_t **StoreMaskBits**(D, M m, uint8_t* p): stores a bit array indicating whether `m[i]` is true, in ascending order of `i`, filling the bits of each byte from least to most significant, then proceeding to the next byte. Returns the number of bytes written: `(Lanes(D()) + 7) / 8`. At least 8 bytes of `p` must be writable. * Mask<DTo> **PromoteMaskTo**(DTo d_to, DFrom d_from, Mask<DFrom> m): Promotes `m` to a mask with a lane type of `TFromD`, `DFrom` is `Rebind`. `PromoteMaskTo(d_to, d_from, m)` is equivalent to `MaskFromVec(BitCast(d_to, PromoteTo(di_to, BitCast(di_from, VecFromMask(d_from, m)))))`, where `di_from` is `RebindToSigned()` and `di_from` is `RebindToSigned()`, but `PromoteMaskTo(d_to, d_from, m)` is more efficient on some targets. PromoteMaskTo requires that `sizeof(TFromD) < sizeof(TFromD)` be true. * Mask<DTo> **DemoteMaskTo**(DTo d_to, DFrom d_from, Mask<DFrom> m): Demotes `m` to a mask with a lane type of `TFromD`, `DFrom` is `Rebind`. `DemoteMaskTo(d_to, d_from, m)` is equivalent to `MaskFromVec(BitCast(d_to, DemoteTo(di_to, BitCast(di_from, VecFromMask(d_from, m)))))`, where `di_from` is `RebindToSigned()` and `di_from` is `RebindToSigned()`, but `DemoteMaskTo(d_to, d_from, m)` is more efficient on some targets. DemoteMaskTo requires that `sizeof(TFromD) > sizeof(TFromD)` be true. * M **OrderedDemote2MasksTo**(DTo, DFrom, M2, M2): returns a mask whose `LowerHalf` is the first argument and whose `UpperHalf` is the second argument; `M2` is `Mask>`; `DTo` is `Repartition`. OrderedDemote2MasksTo requires that `sizeof(TFromD) == sizeof(TFromD) * 2` be true. `OrderedDemote2MasksTo(d_to, d_from, a, b)` is equivalent to `MaskFromVec(BitCast(d_to, OrderedDemote2To(di_to, va, vb)))`, where `va` is `BitCast(di_from, MaskFromVec(d_from, a))`, `vb` is `BitCast(di_from, MaskFromVec(d_from, b))`, `di_to` is `RebindToSigned()`, and `di_from` is `RebindToSigned()`, but `OrderedDemote2MasksTo(d_to, d_from, a, b)` is more efficient on some targets. OrderedDemote2MasksTo is only available if `HWY_TARGET != HWY_SCALAR` is true. #### Combine mask * M2 **LowerHalfOfMask**(D d, M m): returns the lower half of mask `m`, where `M` is `MFromD>` and `M2` is `MFromD`. `LowerHalfOfMask(d, m)` is equivalent to `MaskFromVec(LowerHalf(d, VecFromMask(d, m)))`, but `LowerHalfOfMask(d, m)` is more efficient on some targets. * M2 **UpperHalfOfMask**(D d, M m): returns the upper half of mask `m`, where `M` is `MFromD>` and `M2` is `MFromD`. `UpperHalfOfMask(d, m)` is equivalent to `MaskFromVec(UpperHalf(d, VecFromMask(d, m)))`, but `UpperHalfOfMask(d, m)` is more efficient on some targets. UpperHalfOfMask is only available if `HWY_TARGET != HWY_SCALAR` is true. * M **CombineMasks**(D, M2, M2): returns a mask whose `UpperHalf` is the first argument and whose `LowerHalf` is the second argument; `M2` is `Mask>`. `CombineMasks(d, hi, lo)` is equivalent to `MaskFromVec(d, Combine(d, VecFromMask(Half(), hi), VecFromMask(Half(), lo)))`, but `CombineMasks(d, hi, lo)` is more efficient on some targets. CombineMasks is only available if `HWY_TARGET != HWY_SCALAR` is true. #### Slide mask across blocks * M **SlideMaskUpLanes**(D d, M m, size_t N): Slides `m` up `N` lanes. `SlideMaskUpLanes(d, m, N)` is equivalent to `MaskFromVec(SlideUpLanes(d, VecFromMask(d, m), N))`, but `SlideMaskUpLanes(d, m, N)` is more efficient on some targets. The results of SlideMaskUpLanes is implementation-defined if `N >= Lanes(d)`. * M **SlideMaskDownLanes**(D d, M m, size_t N): Slides `m` down `N` lanes. `SlideMaskDownLanes(d, m, N)` is equivalent to `MaskFromVec(SlideDownLanes(d, VecFromMask(d, m), N))`, but `SlideMaskDownLanes(d, m, N)` is more efficient on some targets. The results of SlideMaskDownLanes is implementation-defined if `N >= Lanes(d)`. * M **SlideMask1Up**(D d, M m): Slides `m` up 1 lane. `SlideMask1Up(d, m)` is equivalent to `MaskFromVec(Slide1Up(d, VecFromMask(d, m)))`, but `SlideMask1Up(d, m)` is more efficient on some targets. * M **SlideMask1Down**(D d, M m): Slides `m` down 1 lane. `SlideMask1Down(d, m)` is equivalent to `MaskFromVec(Slide1Down(d, VecFromMask(d, m)))`, but `SlideMask1Down(d, m)` is more efficient on some targets. #### Test mask * bool **AllTrue**(D, M m): returns whether all `m[i]` are true. * bool **AllFalse**(D, M m): returns whether all `m[i]` are false. * size_t **CountTrue**(D, M m): returns how many of `m[i]` are true [0, N]. This is typically more expensive than AllTrue/False. * intptr_t **FindFirstTrue**(D, M m): returns the index of the first (i.e. lowest index) `m[i]` that is true, or -1 if none are. * size_t **FindKnownFirstTrue**(D, M m): returns the index of the first (i.e. lowest index) `m[i]` that is true. Requires `!AllFalse(d, m)`, otherwise results are undefined. This is typically more efficient than `FindFirstTrue`. * intptr_t **FindLastTrue**(D, M m): returns the index of the last (i.e. highest index) `m[i]` that is true, or -1 if none are. * size_t **FindKnownLastTrue**(D, M m): returns the index of the last (i.e. highest index) `m[i]` that is true. Requires `!AllFalse(d, m)`, otherwise results are undefined. This is typically more efficient than `FindLastTrue`. #### Ternary operator for masks For `IfThen*`, masks must adhere to the invariant established by `MaskFromVec`: false is zero, true has all bits set: * V **IfThenElse**(M mask, V yes, V no): returns `mask[i] ? yes[i] : no[i]`. * V **IfThenElseZero**(M mask, V yes): returns `mask[i] ? yes[i] : 0`. * V **IfThenZeroElse**(M mask, V no): returns `mask[i] ? 0 : no[i]`. * V **IfVecThenElse**(V mask, V yes, V no): equivalent to and possibly faster than `IfVecThenElse(MaskFromVec(mask), yes, no)`. The result is *implementation-defined* if `mask[i]` is neither zero nor all bits set. #### Logical mask * M **Not**(M m): returns mask of elements indicating whether the input mask element was false. * M **And**(M a, M b): returns mask of elements indicating whether both input mask elements were true. * M **AndNot**(M not_a, M b): returns mask of elements indicating whether `not_a` is false and `b` is true. * M **Or**(M a, M b): returns mask of elements indicating whether either input mask element was true. * M **Xor**(M a, M b): returns mask of elements indicating whether exactly one input mask element was true. * M **ExclusiveNeither**(M a, M b): returns mask of elements indicating `a` is false and `b` is false. Undefined if both are true. We choose not to provide NotOr/NotXor because x86 and SVE only define one of these operations. This op is for situations where the inputs are known to be mutually exclusive. * M **SetOnlyFirst**(M m): If none of `m[i]` are true, returns all-false. Otherwise, only lane `k` is true, where `k` is equal to `FindKnownFirstTrue(m)`. In other words, sets to false any lanes with index greater than the first true lane, if it exists. * M **SetBeforeFirst**(M m): If none of `m[i]` are true, returns all-true. Otherwise, returns mask with the first `k` lanes true and all remaining lanes false, where `k` is equal to `FindKnownFirstTrue(m)`. In other words, if at least one of `m[i]` is true, sets to true any lanes with index less than the first true lane and all remaining lanes to false. * M **SetAtOrBeforeFirst**(M m): equivalent to `Or(SetBeforeFirst(m), SetOnlyFirst(m))`, but `SetAtOrBeforeFirst(m)` is usually more efficient than `Or(SetBeforeFirst(m), SetOnlyFirst(m))`. * M **SetAtOrAfterFirst**(M m): equivalent to `Not(SetBeforeFirst(m))`. #### Compress * V **Compress**(V v, M m): returns `r` such that `r[n]` is `v[i]`, with `i` the n-th lane index (starting from 0) where `m[i]` is true. Compacts lanes whose mask is true into the lower lanes. For targets and lane type `T` where `CompressIsPartition::value` is true, the upper lanes are those whose mask is false (thus `Compress` corresponds to partitioning according to the mask). Otherwise, the upper lanes are implementation-defined. Potentially slow with 8 and 16-bit lanes. Use this form when the input is already a mask, e.g. returned by a comparison. * V **CompressNot**(V v, M m): equivalent to `Compress(v, Not(m))` but possibly faster if `CompressIsPartition::value` is true. * `V`: `u64` \ V **CompressBlocksNot**(V v, M m): equivalent to `CompressNot(v, m)` when `m` is structured as adjacent pairs (both true or false), e.g. as returned by `Lt128`. This is a no-op for 128 bit vectors. Unavailable if `HWY_TARGET == HWY_SCALAR`. * size_t **CompressStore**(V v, M m, D d, T* p): writes lanes whose mask `m` is true into `p`, starting from lane 0. Returns `CountTrue(d, m)`, the number of valid lanes. May be implemented as `Compress` followed by `StoreU`; lanes after the valid ones may still be overwritten! Potentially slow with 8 and 16-bit lanes. * size_t **CompressBlendedStore**(V v, M m, D d, T* p): writes only lanes whose mask `m` is true into `p`, starting from lane 0. Returns `CountTrue(d, m)`, the number of lanes written. Does not modify subsequent lanes, but there is no guarantee of atomicity because this may be implemented as `Compress, LoadU, IfThenElse(FirstN), StoreU`. * V **CompressBits**(V v, const uint8_t* HWY_RESTRICT bits): Equivalent to, but often faster than `Compress(v, LoadMaskBits(d, bits))`. `bits` is as specified for `LoadMaskBits`. If called multiple times, the `bits` pointer passed to this function must also be marked `HWY_RESTRICT` to avoid repeated work. Note that if the vector has less than 8 elements, incrementing `bits` will not work as intended for packed bit arrays. As with `Compress`, `CompressIsPartition` indicates the mask=false lanes are moved to the upper lanes. Potentially slow with 8 and 16-bit lanes. * size_t **CompressBitsStore**(V v, const uint8_t* HWY_RESTRICT bits, D d, T* p): combination of `CompressStore` and `CompressBits`, see remarks there. #### Expand * V **Expand**(V v, M m): returns `r` such that `r[i]` is zero where `m[i]` is false, and otherwise `v[s]`, where `s` is the number of `m[0, i)` which are true. Scatters inputs in ascending index order to the lanes whose mask is true and zeros all other lanes. Potentially slow with 8 and 16-bit lanes. * V **LoadExpand**(M m, D d, const T* p): returns `r` such that `r[i]` is zero where `m[i]` is false, and otherwise `p[s]`, where `s` is the number of `m[0, i)` which are true. May be implemented as `LoadU` followed by `Expand`. Potentially slow with 8 and 16-bit lanes. ### Comparisons These return a mask (see above) indicating whether the condition is true. * M **operator==**(V a, V b): returns `a[i] == b[i]`. Currently unavailable on SVE/RVV; use the equivalent `Eq` instead. * M **operator!=**(V a, V b): returns `a[i] != b[i]`. Currently unavailable on SVE/RVV; use the equivalent `Ne` instead. * M **operator<**(V a, V b): returns `a[i] < b[i]`. Currently unavailable on SVE/RVV; use the equivalent `Lt` instead. * M **operator>**(V a, V b): returns `a[i] > b[i]`. Currently unavailable on SVE/RVV; use the equivalent `Gt` instead. * M **operator<=**(V a, V b): returns `a[i] <= b[i]`. Currently unavailable on SVE/RVV; use the equivalent `Le` instead. * M **operator>=**(V a, V b): returns `a[i] >= b[i]`. Currently unavailable on SVE/RVV; use the equivalent `Ge` instead. * `V`: `{i,f}` \ M **IsNegative**(V v): returns `v[i] < 0`. `IsNegative(v)` is equivalent to `MaskFromVec(BroadcastSignBit(v))` or `Lt(v, Zero(d))`, but `IsNegative(v)` is more efficient on some targets. * `V`: `{u,i}` \ M **TestBit**(V v, V bit): returns `(v[i] & bit[i]) == bit[i]`. `bit[i]` must have exactly one bit set. * `V`: `u64` \ M **Lt128**(D, V a, V b): for each adjacent pair of 64-bit lanes (e.g. indices 1,0), returns whether `a[1]:a[0]` concatenated to an unsigned 128-bit integer (least significant bits in `a[0]`) is less than `b[1]:b[0]`. For each pair, the mask lanes are either both true or both false. Unavailable if `HWY_TARGET == HWY_SCALAR`. * `V`: `u64` \ M **Lt128Upper**(D, V a, V b): for each adjacent pair of 64-bit lanes (e.g. indices 1,0), returns whether `a[1]` is less than `b[1]`. For each pair, the mask lanes are either both true or both false. This is useful for comparing 64-bit keys alongside 64-bit values. Only available if `HWY_TARGET != HWY_SCALAR`. * `V`: `u64` \ M **Eq128**(D, V a, V b): for each adjacent pair of 64-bit lanes (e.g. indices 1,0), returns whether `a[1]:a[0]` concatenated to an unsigned 128-bit integer (least significant bits in `a[0]`) equals `b[1]:b[0]`. For each pair, the mask lanes are either both true or both false. Unavailable if `HWY_TARGET == HWY_SCALAR`. * `V`: `u64` \ M **Ne128**(D, V a, V b): for each adjacent pair of 64-bit lanes (e.g. indices 1,0), returns whether `a[1]:a[0]` concatenated to an unsigned 128-bit integer (least significant bits in `a[0]`) differs from `b[1]:b[0]`. For each pair, the mask lanes are either both true or both false. Unavailable if `HWY_TARGET == HWY_SCALAR`. * `V`: `u64` \ M **Eq128Upper**(D, V a, V b): for each adjacent pair of 64-bit lanes (e.g. indices 1,0), returns whether `a[1]` equals `b[1]`. For each pair, the mask lanes are either both true or both false. This is useful for comparing 64-bit keys alongside 64-bit values. Only available if `HWY_TARGET != HWY_SCALAR`. * `V`: `u64` \ M **Ne128Upper**(D, V a, V b): for each adjacent pair of 64-bit lanes (e.g. indices 1,0), returns whether `a[1]` differs from `b[1]`. For each pair, the mask lanes are either both true or both false. This is useful for comparing 64-bit keys alongside 64-bit values. Only available if `HWY_TARGET != HWY_SCALAR`. #### Masked comparison All ops in this section return `false` for `mask=false` lanes. These are equivalent to, and potentially more efficient than, `And(m, Eq(a, b));` etc. * M **MaskedEq**(M m, V a, V b): returns `a[i] == b[i]` or `false` if `m[i]` is false. * M **MaskedNe**(M m, V a, V b): returns `a[i] != b[i]` or `false` if `m[i]` is false. * M **MaskedLt**(M m, V a, V b): returns `a[i] < b[i]` or `false` if `m[i]` is false. * M **MaskedGt**(M m, V a, V b): returns `a[i] > b[i]` or `false` if `m[i]` is false. * M **MaskedLe**(M m, V a, V b): returns `a[i] <= b[i]` or `false` if `m[i]` is false. * M **MaskedGe**(M m, V a, V b): returns `a[i] >= b[i]` or `false` if `m[i]` is false. ### Memory Memory operands are little-endian, otherwise their order would depend on the lane configuration. Pointers are the addresses of `N` consecutive `T` values, either `aligned` (address is a multiple of the vector size) or possibly unaligned (denoted `p`). Even unaligned addresses must still be a multiple of `sizeof(T)`, otherwise `StoreU` may crash on some platforms (e.g. RVV and Armv7). Note that C++ ensures automatic (stack) and dynamically allocated (via `new` or `malloc`) variables of type `T` are aligned to `sizeof(T)`, hence such addresses are suitable for `StoreU`. However, casting pointers to `char*` and adding arbitrary offsets (not a multiple of `sizeof(T)`) can violate this requirement. **Note**: computations with low arithmetic intensity (FLOP/s per memory traffic bytes), e.g. dot product, can be *1.5 times as fast* when the memory operands are aligned to the vector size. An unaligned access may require two load ports. #### Load * Vec<D> **Load**(D, const T* aligned): returns `aligned[i]`. May fault if the pointer is not aligned to the vector size (using aligned_allocator.h is safe). Using this whenever possible improves codegen on SSSE3/SSE4: unlike `LoadU`, `Load` can be fused into a memory operand, which reduces register pressure. Requires only *element-aligned* vectors (e.g. from malloc/std::vector, or aligned memory at indices which are not a multiple of the vector length): * Vec<D> **LoadU**(D, const T* p): returns `p[i]`. * Vec<D> **LoadDup128**(D, const T* p): returns one 128-bit block loaded from `p` and broadcasted into all 128-bit block\[s\]. This may be faster than broadcasting single values, and is more convenient than preparing constants for the actual vector length. Only available if `HWY_TARGET != HWY_SCALAR`. * Vec<D> **MaskedLoadOr**(V no, M mask, D, const T* p): returns `mask[i] ? p[i] : no[i]`. May fault even where `mask` is false `#if HWY_MEM_OPS_MIGHT_FAULT`. If `p` is aligned, faults cannot happen unless the entire vector is inaccessible. Assuming no faults, this is equivalent to, and potentially more efficient than, `IfThenElse(mask, LoadU(D(), p), no)`. * Vec<D> **MaskedLoad**(M mask, D d, const T* p): equivalent to `MaskedLoadOr(Zero(d), mask, d, p)`, but potentially slightly more efficient. * Vec<D> **LoadN**(D d, const T* p, size_t max_lanes_to_load) : Loads `HWY_MIN(Lanes(d), max_lanes_to_load)` lanes from `p` to the first (lowest-index) lanes of the result vector and zeroes out the remaining lanes. LoadN does not fault if all of the elements in `[p, p + max_lanes_to_load)` are accessible, even if `HWY_MEM_OPS_MIGHT_FAULT` is 1 or `max_lanes_to_load < Lanes(d)` is true. * Vec<D> **LoadNOr**(V no, D d, const T* p, size_t max_lanes_to_load) : Loads `HWY_MIN(Lanes(d), max_lanes_to_load)` lanes from `p` to the first (lowest-index) lanes of the result vector and fills the remaining lanes with `no`. Like LoadN, this does not fault. * Vec<D> **InsertIntoUpper**(D d, T* p, V v): Loads `Lanes(d)/2` lanes from `p` into the upper lanes of the result vector and the lower half of `v` into the lower lanes. #### Store * void **Store**(Vec<D> v, D, T* aligned): copies `v[i]` into `aligned[i]`, which must be aligned to the vector size. Writes exactly `N * sizeof(T)` bytes. * void **StoreU**(Vec<D> v, D, T* p): as `Store`, but the alignment requirement is relaxed to element-aligned (multiple of `sizeof(T)`). * void **BlendedStore**(Vec<D> v, M m, D d, T* p): as `StoreU`, but only updates `p` where `m` is true. May fault even where `mask` is false `#if HWY_MEM_OPS_MIGHT_FAULT`. If `p` is aligned, faults cannot happen unless the entire vector is inaccessible. Equivalent to, and potentially more efficient than, `StoreU(IfThenElse(m, v, LoadU(d, p)), d, p)`. "Blended" indicates this may not be atomic; other threads must not concurrently update `[p, p + Lanes(d))` without synchronization. * void **SafeFillN**(size_t num, T value, D d, T* HWY_RESTRICT to): Sets `to[0, num)` to `value`. If `num` exceeds `Lanes(d)`, the behavior is target-dependent (either filling all, or no more than one vector). Potentially more efficient than a scalar loop, but will not fault, unlike `BlendedStore`. No alignment requirement. Potentially non-atomic, like `BlendedStore`. * void **SafeCopyN**(size_t num, D d, const T* HWY_RESTRICT from, T* HWY_RESTRICT to): Copies `from[0, num)` to `to`. If `num` exceeds `Lanes(d)`, the behavior is target-dependent (either copying all, or no more than one vector). Potentially more efficient than a scalar loop, but will not fault, unlike `BlendedStore`. No alignment requirement. Potentially non-atomic, like `BlendedStore`. * void **StoreN**(Vec<D> v, D d, T* HWY_RESTRICT p, size_t max_lanes_to_store): Stores the first (lowest-index) `HWY_MIN(Lanes(d), max_lanes_to_store)` lanes of `v` to p. StoreN does not modify any memory past `p + HWY_MIN(Lanes(d), max_lanes_to_store) - 1`. * void **TruncateStore**(Vec<D> v, D d, T* HWY_RESTRICT p): Truncates elements of `v` to type `T` and stores on `p`. It is similar to performing `TruncateTo` followed by `StoreU`. #### Interleaved * void **LoadInterleaved2**(D, const T* p, Vec<D>& v0, Vec<D>& v1): equivalent to `LoadU` into `v0, v1` followed by shuffling, such that `v0[0] == p[0], v1[0] == p[1]`. * void **LoadInterleaved3**(D, const T* p, Vec<D>& v0, Vec<D>& v1, Vec<D>& v2): as above, but for three vectors (e.g. RGB samples). * void **LoadInterleaved4**(D, const T* p, Vec<D>& v0, Vec<D>& v1, Vec<D>& v2, Vec<D>& v3): as above, but for four vectors (e.g. RGBA). * void **StoreInterleaved2**(Vec<D> v0, Vec<D> v1, D, T* p): equivalent to shuffling `v0, v1` followed by two `StoreU()`, such that `p[0] == v0[0], p[1] == v1[0]`. * void **StoreInterleaved3**(Vec<D> v0, Vec<D> v1, Vec<D> v2, D, T* p): as above, but for three vectors (e.g. RGB samples). * void **StoreInterleaved4**(Vec<D> v0, Vec<D> v1, Vec<D> v2, Vec<D> v3, D, T* p): as above, but for four vectors (e.g. RGBA samples). #### Scatter/Gather **Note**: Offsets/indices are of type `VI = Vec>` and need not be unique. The results are implementation-defined for negative offsets, because behavior differs between x86 and RVV (signed vs. unsigned). **Note**: Where possible, applications should `Load/Store/TableLookup*` entire vectors, which is much faster than `Scatter/Gather`. Otherwise, code of the form `dst[tbl[i]] = F(src[i])` should when possible be transformed to `dst[i] = F(src[tbl[i]])` because `Scatter` may be more expensive than `Gather`. **Note**: We provide `*Offset` functions for the convenience of users that have actual byte offsets. However, the preferred interface is `*Index`, which takes indices. To reduce the number of ops, we do not intend to add `Masked*` ops for offsets. If you have offsets, you can convert them to indices via `ShiftRight`. * `D`: `{u,i,f}{32,64}` \ void **ScatterOffset**(Vec<D> v, D, T* base, VI offsets): stores `v[i]` to the base address plus *byte* `offsets[i]`. * `D`: `{u,i,f}{32,64}` \ void **ScatterIndex**(Vec<D> v, D, T* base, VI indices): stores `v[i]` to `base[indices[i]]`. * `D`: `{u,i,f}{32,64}` \ void **ScatterIndexN**(Vec<D> v, D, T* base, VI indices, size_t max_lanes_to_store): Stores `HWY_MIN(Lanes(d), max_lanes_to_store)` lanes `v[i]` to `base[indices[i]]` * `D`: `{u,i,f}{32,64}` \ void **MaskedScatterIndex**(Vec<D> v, M m, D, T* base, VI indices): stores `v[i]` to `base[indices[i]]` if `mask[i]` is true. Does not fault for lanes whose `mask` is false. * `D`: `{u,i,f}{32,64}` \ Vec<D> **GatherOffset**(D, const T* base, VI offsets): returns elements of base selected by *byte* `offsets[i]`. * `D`: `{u,i,f}{32,64}` \ Vec<D> **GatherIndex**(D, const T* base, VI indices): returns vector of `base[indices[i]]`. * `D`: `{u,i,f}{32,64}` \ Vec<D> **GatherIndexN**(D, const T* base, VI indices, size_t max_lanes_to_load): Loads `HWY_MIN(Lanes(d), max_lanes_to_load)` lanes of `base[indices[i]]` to the first (lowest-index) lanes of the result vector and zeroes out the remaining lanes. * `D`: `{u,i,f}{32,64}` \ Vec<D> **MaskedGatherIndexOr**(V no, M mask, D d, const T* base, VI indices): returns vector of `base[indices[i]]` where `mask[i]` is true, otherwise `no[i]`. Does not fault for lanes whose `mask` is false. This is equivalent to, and potentially more efficient than, `IfThenElseZero(mask, GatherIndex(d, base, indices))`. * `D`: `{u,i,f}{32,64}` \ Vec<D> **MaskedGatherIndex**(M mask, D d, const T* base, VI indices): equivalent to `MaskedGatherIndexOr(Zero(d), mask, d, base, indices)`. Use this when the desired default value is zero; it may be more efficient on some targets, and on others require generating a zero constant. ### Cache control All functions except `Stream` are defined in cache_control.h. * void **Stream**(Vec<D> a, D d, const T* aligned): copies `a[i]` into `aligned[i]` with non-temporal hint if available (useful for write-only data; avoids cache pollution). May be implemented using a CPU-internal buffer. To avoid partial flushes and unpredictable interactions with atomics (for example, see Intel SDM Vol 4, Sec. 8.1.2.2), call this consecutively for an entire cache line (typically 64 bytes, aligned to its size). Each call may write a multiple of `HWY_STREAM_MULTIPLE` bytes, which can exceed `Lanes(d) * sizeof(T)`. The new contents of `aligned` may not be visible until `FlushStream` is called. * void **FlushStream**(): ensures values written by previous `Stream` calls are visible on the current core. This is NOT sufficient for synchronizing across cores; when `Stream` outputs are to be consumed by other core(s), the producer must publish availability (e.g. via mutex or atomic_flag) after `FlushStream`. * void **FlushCacheline**(const void* p): invalidates and flushes the cache line containing "p", if possible. * void **Prefetch**(const T* p): optionally begins loading the cache line containing "p" to reduce latency of subsequent actual loads. * void **Pause**(): when called inside a spin-loop, may reduce power consumption. ### Type conversion * Vec<D> **BitCast**(D, V): returns the bits of `V` reinterpreted as type `Vec`. * Vec<D> **ResizeBitCast**(D, V): resizes `V` to a vector of `Lanes(D()) * sizeof(TFromD)` bytes, and then returns the bits of the resized vector reinterpreted as type `Vec`. If `Vec` is a larger vector than `V`, then the contents of any bytes past the first `Lanes(DFromV()) * sizeof(TFromV)` bytes of the result vector is unspecified. * Vec<DTo> **ZeroExtendResizeBitCast**(DTo, DFrom, V): resizes `V`, which is a vector of type `Vec`, to a vector of `Lanes(D()) * sizeof(TFromD)` bytes, and then returns the bits of the resized vector reinterpreted as type `Vec`. If `Lanes(DTo()) * sizeof(TFromD)` is greater than `Lanes(DFrom()) * sizeof(TFromD)`, then any bytes past the first `Lanes(DFrom()) * sizeof(TFromD)` bytes of the result vector are zeroed out. * `V`,`V8`: (`u32,u8`) \ V8 **U8FromU32**(V): special-case `u32` to `u8` conversion when all lanes of `V` are already clamped to `[0, 256)`. * `D`: `{f}` \ Vec<D> **ConvertTo**(D, V): converts a signed/unsigned integer value to same-sized floating point. * `V`: `{f}` \ Vec<D> **ConvertTo**(D, V): rounds floating point towards zero and converts the value to same-sized signed/unsigned integer. Returns the closest representable value if the input exceeds the destination range. * `V`: `{f}` \ Vec<D> **ConvertInRangeTo**(D, V): rounds floating point towards zero and converts the value to same-sized signed/unsigned integer. Returns an implementation-defined value if the input exceeds the destination range. * `V`: `f`; `Ret`: `Vec>>` \ Ret **NearestInt**(V a): returns the integer nearest to `a[i]`; results are undefined for NaN. * `V`: `f`; `Ret`: `Vec>>` \ Ret **CeilInt**(V a): equivalent to `ConvertTo(RebindToSigned>(), Ceil(a))`, but `CeilInt(a)` is more efficient on some targets, including SSE2, SSSE3, and AArch64 NEON. * `V`: `f`; `Ret`: `Vec>>` \ Ret **FloorInt**(V a): equivalent to `ConvertTo(RebindToSigned>(), Floor(a))`, but `FloorInt(a)` is more efficient on some targets, including SSE2, SSSE3, and AArch64 NEON. * `D`: `i32`, `V`: `f64` Vec<D> **DemoteToNearestInt**(D d, V v): converts `v[i]` to `TFromD`, rounding to nearest (with ties to even). `DemoteToNearestInt(d, v)` is equivalent to `DemoteTo(d, Round(v))`, but `DemoteToNearestInt(d, v)` is more efficient on some targets, including x86 and RVV. * Vec<D> **MaskedConvertTo**(M m, D d, V v): returns `v[i]` converted to `D` where m is active and returns zero otherwise. #### Single vector demotion These functions demote a full vector (or parts thereof) into a vector of half the size. Use `Rebind, D>` or `Half>` to obtain the `D` that describes the return type. * `V`,`D`: (`u64,u32`), (`u64,u16`), (`u64,u8`), (`u32,u16`), (`u32,u8`), (`u16,u8`) \ Vec<D> **TruncateTo**(D, V v): returns `v[i]` truncated to the smaller type indicated by `T = TFromD`, with the same result as if the more-significant input bits that do not fit in `T` had been zero. Example: `ScalableTag du32; Rebind du8; TruncateTo(du8, Set(du32, 0xF08F))` is the same as `Set(du8, 0x8F)`. * `V`,`D`: (`i16,i8`), (`i32,i8`), (`i64,i8`), (`i32,i16`), (`i64,i16`), (`i64,i32`), (`u16,i8`), (`u32,i8`), (`u64,i8`), (`u32,i16`), (`u64,i16`), (`u64,i32`), (`i16,u8`), (`i32,u8`), (`i64,u8`), (`i32,u16`), (`i64,u16`), (`i64,u32`), (`u16,u8`), (`u32,u8`), (`u64,u8`), (`u32,u16`), (`u64,u16`), (`u64,u32`), (`f64,f32`) \ Vec<D> **DemoteTo**(D, V v): returns `v[i]` after packing with signed/unsigned saturation to `MakeNarrow`. * `V`,`D`: `f64,{u,i}32` \ Vec<D> **DemoteTo**(D, V v): rounds floating point towards zero and converts the value to 32-bit integers. Returns the closest representable value if the input exceeds the destination range. * `V`,`D`: `f64,{u,i}32` \ Vec<D> **DemoteInRangeTo**(D, V v): rounds floating point towards zero and converts the value to 32-bit integers. Returns an implementation-defined value if the input exceeds the destination range. * `V`,`D`: `{u,i}64,f32` \ Vec<D> **DemoteTo**(D, V v): converts 64-bit integer to `float`. * `V`,`D`: (`f32,f16`), (`f64,f16`), (`f32,bf16`) \ Vec<D> **DemoteTo**(D, V v): narrows float to half (for bf16, it is unspecified whether this truncates or rounds). #### Single vector promotion These functions promote a half vector to a full vector. To obtain halves, use `LowerHalf` or `UpperHalf`, or load them using a half-sized `D`. * Unsigned `V` to wider signed/unsigned `D`; signed to wider signed, `f16` to `f32`, `f16` to `f64`, `bf16` to `f32`, `f32` to `f64` \ Vec<D> **PromoteTo**(D, V part): returns `part[i]` zero- or sign-extended to the integer type `MakeWide`, or widened to the floating-point type `MakeFloat>`. * `{u,i}32` to `f64` \ Vec<D> **PromoteTo**(D, V part): returns `part[i]` widened to `double`. * `f32` to `i64` or `u64` \ Vec<D> **PromoteTo**(D, V part): rounds `part[i]` towards zero and converts the rounded value to a 64-bit signed or unsigned integer. Returns the representable value if the input exceeds the destination range. * `f32` to `i64` or `u64` \ Vec<D> **PromoteInRangeTo**(D, V part): rounds `part[i]` towards zero and converts the rounded value to a 64-bit signed or unsigned integer. Returns an implementation-defined value if the input exceeds the destination range. The following may be more convenient or efficient than also calling `LowerHalf` / `UpperHalf`: * Unsigned `V` to wider signed/unsigned `D`; signed to wider signed, `f16` to `f32`, `bf16` to `f32`, `f32` to `f64` \ Vec<D> **PromoteLowerTo**(D, V v): returns `v[i]` widened to `MakeWide`, for i in `[0, Lanes(D()))`. Note that `V` has twice as many lanes as `D` and the return value. * `{u,i}32` to `f64` \ Vec<D> **PromoteLowerTo**(D, V v): returns `v[i]` widened to `double`, for i in `[0, Lanes(D()))`. Note that `V` has twice as many lanes as `D` and the return value. * `f32` to `i64` or `u64` \ Vec<D> **PromoteLowerTo**(D, V v): rounds `v[i]` towards zero and converts the rounded value to a 64-bit signed or unsigned integer, for i in `[0, Lanes(D()))`. Note that `V` has twice as many lanes as `D` and the return value. * `f32` to `i64` or `u64` \ Vec<D> **PromoteInRangeLowerTo**(D, V v): rounds `v[i]` towards zero and converts the rounded value to a 64-bit signed or unsigned integer, for i in `[0, Lanes(D()))`. Note that `V` has twice as many lanes as `D` and the return value. Returns an implementation-defined value if the input exceeds the destination range. * Unsigned `V` to wider signed/unsigned `D`; signed to wider signed, `f16` to `f32`, `bf16` to `f32`, `f32` to `f64` \ Vec<D> **PromoteUpperTo**(D, V v): returns `v[i]` widened to `MakeWide`, for i in `[Lanes(D()), 2 * Lanes(D()))`. Note that `V` has twice as many lanes as `D` and the return value. Only available if `HWY_TARGET != HWY_SCALAR`. * `{u,i}32` to `f64` \ Vec<D> **PromoteUpperTo**(D, V v): returns `v[i]` widened to `double`, for i in `[Lanes(D()), 2 * Lanes(D()))`. Note that `V` has twice as many lanes as `D` and the return value. Only available if `HWY_TARGET != HWY_SCALAR`. * `f32` to `i64` or `u64` \ Vec<D> **PromoteUpperTo**(D, V v): rounds `v[i]` towards zero and converts the rounded value to a 64-bit signed or unsigned integer, for i in `[Lanes(D()), 2 * Lanes(D()))`. Note that `V` has twice as many lanes as `D` and the return value. Only available if `HWY_TARGET != HWY_SCALAR`. * `f32` to `i64` or `u64` \ Vec<D> **PromoteInRangeUpperTo**(D, V v): rounds `v[i]` towards zero and converts the rounded value to a 64-bit signed or unsigned integer, for i in `[Lanes(D()), 2 * Lanes(D()))`. Note that `V` has twice as many lanes as `D` and the return value. Returns an implementation-defined value if the input exceeds the destination range. Only available if `HWY_TARGET != HWY_SCALAR`. The following may be more convenient or efficient than also calling `ConcatEven` or `ConcatOdd` followed by `PromoteLowerTo`: * `V`:`{u,i}{8,16,32},f{16,32},bf16`, `D`:`RepartitionToWide>` \ Vec<D> **PromoteEvenTo**(D, V v): promotes the even lanes of `v` to `TFromD`. Note that `V` has twice as many lanes as `D` and the return value. `PromoteEvenTo(d, v)` is equivalent to, but potentially more efficient than `PromoteLowerTo(d, ConcatEven(Repartition, D>(), v, v))`. * `V`:`{u,i}{8,16,32},f{16,32},bf16`, `D`:`RepartitionToWide>` \ Vec<D> **PromoteOddTo**(D, V v): promotes the odd lanes of `v` to `TFromD`. Note that `V` has twice as many lanes as `D` and the return value. `PromoteOddTo(d, v)` is equivalent to, but potentially more efficient than `PromoteLowerTo(d, ConcatOdd(Repartition, D>(), v, v))`. Only available if `HWY_TARGET != HWY_SCALAR`. * `V`:`f32`, `D`:`{u,i}64` \ Vec<D> **PromoteInRangeEvenTo**(D, V v): promotes the even lanes of `v` to `TFromD`. Note that `V` has twice as many lanes as `D` and the return value. `PromoteInRangeEvenTo(d, v)` is equivalent to, but potentially more efficient than `PromoteInRangeLowerTo(d, ConcatEven( Repartition, D>(), v, v))`. * `V`:`f32`, `D`:`{u,i}64` \ Vec<D> **PromoteInRangeOddTo**(D, V v): promotes the odd lanes of `v` to `TFromD`. Note that `V` has twice as many lanes as `D` and the return value. `PromoteInRangeOddTo(d, v)` is equivalent to, but potentially more efficient than `PromoteInRangeLowerTo(d, ConcatOdd( Repartition, D>(), v, v))`. #### Two-vector demotion * `V`,`D`: (`i16,i8`), (`i32,i16`), (`i64,i32`), (`u16,i8`), (`u32,i16`), (`u64,i32`), (`i16,u8`), (`i32,u16`), (`i64,u32`), (`u16,u8`), (`u32,u16`), (`u64,u32`), (`f32,bf16`) \ Vec<D> **ReorderDemote2To**(D, V a, V b): as above, but converts two inputs, `D` and the output have twice as many lanes as `V`, and the output order is some permutation of the inputs. Only available if `HWY_TARGET != HWY_SCALAR`. * `V`,`D`: (`i16,i8`), (`i32,i16`), (`i64,i32`), (`u16,i8`), (`u32,i16`), (`u64,i32`), (`i16,u8`), (`i32,u16`), (`i64,u32`), (`u16,u8`), (`u32,u16`), (`u64,u32`), (`f32,bf16`) \ Vec<D> **OrderedDemote2To**(D d, V a, V b): as above, but converts two inputs, `D` and the output have twice as many lanes as `V`, and the output order is the result of demoting the elements of `a` in the lower half of the result followed by the result of demoting the elements of `b` in the upper half of the result. `OrderedDemote2To(d, a, b)` is equivalent to `Combine(d, DemoteTo(Half(), b), DemoteTo(Half(), a))`, but typically more efficient. Note that integer inputs are saturated to the destination range as with `DemoteTo`. Only available if `HWY_TARGET != HWY_SCALAR`. * `V`,`D`: (`u16,u8`), (`u32,u16`), (`u64,u32`), \ Vec<D> **OrderedTruncate2To**(D d, V a, V b): as above, but converts two inputs, `D` and the output have twice as many lanes as `V`, and the output order is the result of truncating the elements of `a` in the lower half of the result followed by the result of truncating the elements of `b` in the upper half of the result. `OrderedTruncate2To(d, a, b)` is equivalent to `Combine(d, TruncateTo(Half(), b), TruncateTo(Half(), a))`, but `OrderedTruncate2To(d, a, b)` is typically more efficient than `Combine(d, TruncateTo(Half(), b), TruncateTo(Half(), a))`. Only available if `HWY_TARGET != HWY_SCALAR`. ### Combine * V2 **LowerHalf**([D, ] V): returns the lower half of the vector `V`. The optional `D` (provided for consistency with `UpperHalf`) is `Half>`. All other ops in this section are only available if `HWY_TARGET != HWY_SCALAR`: * V2 **UpperHalf**(D, V): returns upper half of the vector `V`, where `D` is `Half>`. * V **ZeroExtendVector**(D, V2): returns vector whose `UpperHalf` is zero and whose `LowerHalf` is the argument; `D` is `Twice>`. * V **Combine**(D, V2, V2): returns vector whose `UpperHalf` is the first argument and whose `LowerHalf` is the second argument; `D` is `Twice>`. **Note**: the following operations cross block boundaries, which is typically more expensive on AVX2/AVX-512 than per-block operations. * V **ConcatLowerLower**(D, V hi, V lo): returns the concatenation of the lower halves of `hi` and `lo` without splitting into blocks. `D` is `DFromV`. * V **ConcatUpperUpper**(D, V hi, V lo): returns the concatenation of the upper halves of `hi` and `lo` without splitting into blocks. `D` is `DFromV`. * V **ConcatLowerUpper**(D, V hi, V lo): returns the inner half of the concatenation of `hi` and `lo` without splitting into blocks. Useful for swapping the two blocks in 256-bit vectors. `D` is `DFromV`. * V **ConcatUpperLower**(D, V hi, V lo): returns the outer quarters of the concatenation of `hi` and `lo` without splitting into blocks. Unlike the other variants, this does not incur a block-crossing penalty on AVX2/3. `D` is `DFromV`. * V **ConcatOdd**(D, V hi, V lo): returns the concatenation of the odd lanes of `hi` and the odd lanes of `lo`. * V **ConcatEven**(D, V hi, V lo): returns the concatenation of the even lanes of `hi` and the even lanes of `lo`. * V **InterleaveWholeLower**([D, ] V a, V b): returns alternating lanes from the lower halves of `a` and `b` (`a[0]` in the least-significant lane). The optional `D` (provided for consistency with `InterleaveWholeUpper`) is `DFromV`. * V **InterleaveWholeUpper**(D, V a, V b): returns alternating lanes from the upper halves of `a` and `b` (`a[N/2]` in the least-significant lane). `D` is `DFromV`. ### Blockwise **Note**: if vectors are larger than 128 bits, the following operations split their operands into independently processed 128-bit *blocks*. * V **Broadcast**<int i>(V): returns individual *blocks*, each with lanes set to `input_block[i]`, `i = [0, 16/sizeof(T))`. All other ops in this section are only available if `HWY_TARGET != HWY_SCALAR`: * `V`: `{u,i}` \ VI **TableLookupBytes**(V bytes, VI indices): returns `bytes[indices[i]]`. Uses byte lanes regardless of the actual vector types. Results are implementation-defined if `indices[i] < 0` or `indices[i] >= HWY_MIN(Lanes(DFromV()), 16)`. `VI` are integers, possibly of a different type than those in `V`. The number of lanes in `V` and `VI` may differ, e.g. a full-length table vector loaded via `LoadDup128`, plus partial vector `VI` of 4-bit indices. * `V`: `{u,i}` \ VI **TableLookupBytesOr0**(V bytes, VI indices): returns `bytes[indices[i]]`, or 0 if `indices[i] & 0x80`. Uses byte lanes regardless of the actual vector types. Results are implementation-defined for `indices[i] < 0` or in `[HWY_MIN(Lanes(DFromV()), 16), 0x80)`. The zeroing behavior has zero cost on x86 and Arm. For vectors of >= 256 bytes (can happen on SVE and RVV), this will set all lanes after the first 128 to 0. `VI` are integers, possibly of a different type than those in `V`. The number of lanes in `V` and `VI` may differ. * `V`: `{u,i}64`, `VI`: `{u,i}8` \ V **BitShuffle**(V vals, VI indices): returns a vector with `(vals[i] >> indices[i*8+j]) & 1` in bit `j` of `r[i]` for each `j` between 0 and 7. `BitShuffle(vals, indices)` zeroes out the upper 56 bits of `r[i]`. If `indices[i*8+j]` is less than 0 or greater than 63, bit `j` of `r[i]` is implementation-defined. `VI` must be either `Vec>>` or `Vec>>`. `BitShuffle(v, indices)` is equivalent to the following loop (where `N` is equal to `Lanes(DFromV())`): ``` for(size_t i = 0; i < N; i++) { uint64_t shuf_result = 0; for(int j = 0; j < 7; j++) { shuf_result |= ((v[i] >> indices[i*8+j]) & 1) << j; } r[i] = shuf_result; } ``` * V **PairwiseAdd128**(D d, V a, V b): Add consecutive pairs of elements in a and b, and pack results in 128 bit blocks, such that `r[i] = a[i] + a[i+1]` for 64 bits, followed by `b[i] + b[i+1]` for next 64 bits and repeated. * V **PairwiseSub128**(D d, V a, V b): Subtract consecutive pairs of elements in a and b, and pack results in 128 bit blocks, such that `r[i] = a[i] + a[i+1]` for 64 bits, followed by `b[i] + b[i+1]` for next 64 bits and repeated. #### Interleave Ops in this section are only available if `HWY_TARGET != HWY_SCALAR`: * V **InterleaveLower**([D, ] V a, V b): returns *blocks* with alternating lanes from the lower halves of `a` and `b` (`a[0]` in the least-significant lane). The optional `D` (provided for consistency with `InterleaveUpper`) is `DFromV`. * V **InterleaveUpper**(D, V a, V b): returns *blocks* with alternating lanes from the upper halves of `a` and `b` (`a[N/2]` in the least-significant lane). `D` is `DFromV`. * V **InterleaveEven**([D, ] V a, V b): returns alternating lanes from the even lanes of `a` and `b` (`a[0]` in the least-significant lane, followed by `b[0]`, followed by `a[2]`, followed by `b[2]`, and so on). The optional `D` (provided for consistency with `InterleaveOdd`) is `DFromV`. Note that no lanes move across block boundaries. `InterleaveEven(a, b)` and `InterleaveEven(d, a, b)` are both equivalent to `OddEven(DupEven(b), a)`, but `InterleaveEven(a, b)` is usually more efficient than `OddEven(DupEven(b), a)`. * V **InterleaveOdd**(D, V a, V b): returns alternating lanes from the odd lanes of `a` and `b` (`a[1]` in the least-significant lane, followed by `b[1]`, followed by `a[3]`, followed by `b[3]`, and so on). `D` is `DFromV`. Note that no lanes move across block boundaries. `InterleaveOdd(d, a, b)` is equivalent to `OddEven(b, DupOdd(a))`, but `InterleaveOdd(d, a, b)` is usually more efficient than `OddEven(b, DupOdd(a))`. #### Zip * `Ret`: `MakeWide`; `V`: `{u,i}{8,16,32}` \ Ret **ZipLower**([DW, ] V a, V b): returns the same bits as `InterleaveLower`, but repartitioned into double-width lanes (required in order to use this operation with scalars). The optional `DW` (provided for consistency with `ZipUpper`) is `RepartitionToWide>`. * `Ret`: `MakeWide`; `V`: `{u,i}{8,16,32}` \ Ret **ZipUpper**(DW, V a, V b): returns the same bits as `InterleaveUpper`, but repartitioned into double-width lanes (required in order to use this operation with scalars). `DW` is `RepartitionToWide>`. Only available if `HWY_TARGET != HWY_SCALAR`. #### Shift within blocks Ops in this section are only available if `HWY_TARGET != HWY_SCALAR`: * `V`: `{u,i}` \ V **ShiftLeftBytes**<int>([D, ] V): returns the result of shifting independent *blocks* left by `int` bytes \[1, 15\]. The optional `D` (provided for consistency with `ShiftRightBytes`) is `DFromV`. * V **ShiftLeftLanes**<int>([D, ] V): returns the result of shifting independent *blocks* left by `int` lanes. The optional `D` (provided for consistency with `ShiftRightLanes`) is `DFromV`. * `V`: `{u,i}` \ V **ShiftRightBytes**<int>(D, V): returns the result of shifting independent *blocks* right by `int` bytes \[1, 15\], shifting in zeros even for partial vectors. `D` is `DFromV`. * V **ShiftRightLanes**<int>(D, V): returns the result of shifting independent *blocks* right by `int` lanes, shifting in zeros even for partial vectors. `D` is `DFromV`. * `V`: `{u,i}` \ V **CombineShiftRightBytes**<int>(D, V hi, V lo): returns a vector of *blocks* each the result of shifting two concatenated *blocks* `hi[i] || lo[i]` right by `int` bytes \[1, 16). `D` is `DFromV`. * V **CombineShiftRightLanes**<int>(D, V hi, V lo): returns a vector of *blocks* each the result of shifting two concatenated *blocks* `hi[i] || lo[i]` right by `int` lanes \[1, 16/sizeof(T)). `D` is `DFromV`. #### Other fixed-pattern permutations within blocks * V **OddEven**(V a, V b): returns a vector whose odd lanes are taken from `a` and the even lanes from `b`. * V **DupEven**(V v): returns `r`, the result of copying even lanes to the next higher-indexed lane. For each even lane index `i`, `r[i] == v[i]` and `r[i + 1] == v[i]`. * V **DupOdd**(V v): returns `r`, the result of copying odd lanes to the previous lower-indexed lane. For each odd lane index `i`, `r[i] == v[i]` and `r[i - 1] == v[i]`. Only available if `HWY_TARGET != HWY_SCALAR`. Ops in this section are only available if `HWY_TARGET != HWY_SCALAR`: * `V`: `{u,i,f}{32}` \ V **Shuffle1032**(V): returns *blocks* with 64-bit halves swapped. * `V`: `{u,i,f}{32}` \ V **Shuffle0321**(V): returns *blocks* rotated right (toward the lower end) by 32 bits. * `V`: `{u,i,f}{32}` \ V **Shuffle2103**(V): returns *blocks* rotated left (toward the upper end) by 32 bits. The following are equivalent to `Reverse2` or `Reverse4`, which should be used instead because they are more general: * `V`: `{u,i,f}{32}` \ V **Shuffle2301**(V): returns *blocks* with 32-bit halves swapped inside 64-bit halves. * `V`: `{u,i,f}{64}` \ V **Shuffle01**(V): returns *blocks* with 64-bit halves swapped. * `V`: `{u,i,f}{32}` \ V **Shuffle0123**(V): returns *blocks* with lanes in reverse order. ### Swizzle #### Reverse * V **Reverse**(D, V a) returns a vector with lanes in reversed order (`out[i] == a[Lanes(D()) - 1 - i]`). * V **ReverseBlocks**(V v): returns a vector with blocks in reversed order. The following `ReverseN` must not be called if `Lanes(D()) < N`: * V **Reverse2**(D, V a) returns a vector with each group of 2 contiguous lanes in reversed order (`out[i] == a[i ^ 1]`). * V **Reverse4**(D, V a) returns a vector with each group of 4 contiguous lanes in reversed order (`out[i] == a[i ^ 3]`). * V **Reverse8**(D, V a) returns a vector with each group of 8 contiguous lanes in reversed order (`out[i] == a[i ^ 7]`). * `V`: `{u,i}{16,32,64}` \ V **ReverseLaneBytes**(V a) returns a vector where the bytes of each lane are swapped. * `V`: `{u,i}` \ V **ReverseBits**(V a) returns a vector where the bits of each lane are reversed. #### User-specified permutation across blocks * V **TableLookupLanes**(V a, unspecified) returns a vector of `a[indices[i]]`, where `unspecified` is the return value of `SetTableIndices(D, &indices[0])` or `IndicesFromVec`. The indices are not limited to blocks, hence this is slower than `TableLookupBytes*` on AVX2/AVX-512. Results are implementation-defined unless `0 <= indices[i] < Lanes(D())` and `indices[i] <= LimitsMax>>()`. Note that the latter condition is only a (potential) limitation for 8-bit lanes on the RVV target; otherwise, `Lanes(D()) <= LimitsMax<..>()`. `indices` are always integers, even if `V` is a floating-point type. * V **TwoTablesLookupLanes**(D d, V a, V b, unspecified) returns a vector of `indices[i] < N ? a[indices[i]] : b[indices[i] - N]`, where `unspecified` is the return value of `SetTableIndices(d, &indices[0])` or `IndicesFromVec` and `N` is equal to `Lanes(d)`. The indices are not limited to blocks. Results are implementation-defined unless `0 <= indices[i] < 2 * Lanes(d)` and `indices[i] <= LimitsMax>>()`. Note that the latter condition is only a (potential) limitation for 8-bit lanes on the RVV target; otherwise, `Lanes(D()) <= LimitsMax<..>()`. `indices` are always integers, even if `V` is a floating-point type. * V **TwoTablesLookupLanes**(V a, V b, unspecified) returns `TwoTablesLookupLanes(DFromV(), a, b, indices)`, see above. Note that the results of `TwoTablesLookupLanes(d, a, b, indices)` may differ from `TwoTablesLookupLanes(a, b, indices)` on RVV/SVE if `Lanes(d) < Lanes(DFromV())`. * unspecified **IndicesFromVec**(D d, V idx) prepares for `TableLookupLanes` with integer indices in `idx`, which must be the same bit width as `TFromD` and in the range `[0, 2 * Lanes(d))`, but need not be unique. * unspecified **SetTableIndices**(D d, TI* idx) prepares for `TableLookupLanes` by loading `Lanes(d)` integer indices from `idx`, which must be in the range `[0, 2 * Lanes(d))` but need not be unique. The index type `TI` must be an integer of the same size as `TFromD`. * V **Per4LaneBlockShuffle**<size_t kIdx3, size_t kIdx2, size_t kIdx1, size_t kIdx0>(V v) does a per 4-lane block shuffle of `v` if `Lanes(DFromV())` is greater than or equal to 4 or a shuffle of the full vector if `Lanes(DFromV())` is less than 4. `kIdx0`, `kIdx1`, `kIdx2`, and `kIdx3` must all be between 0 and 3. Per4LaneBlockShuffle is equivalent to doing a TableLookupLanes with the following indices (but Per4LaneBlockShuffle is more efficient than TableLookupLanes on some platforms): `{kIdx0, kIdx1, kIdx2, kIdx3, kIdx0+4, kIdx1+4, kIdx2+4, kIdx3+4, ...}` If `Lanes(DFromV())` is less than 4 and `kIdx0 >= Lanes(DFromV())` is true, Per4LaneBlockShuffle returns an unspecified value in the first lane of the result. Otherwise, Per4LaneBlockShuffle returns `v[kIdx0]` in the first lane of the result. If `Lanes(DFromV())` is equal to 2 and `kIdx1 >= 2` is true, Per4LaneBlockShuffle returns an unspecified value in the second lane of the result. Otherwise, Per4LaneBlockShuffle returns `v[kIdx1]` in the first lane of the result. #### Slide across blocks * V **SlideUpLanes**(D d, V v, size_t N): slides up `v` by `N` lanes If `N < Lanes(d)` is true, returns a vector with the first (lowest-index) `Lanes(d) - N` lanes of `v` shifted up to the upper (highest-index) `Lanes(d) - N` lanes of the result vector and the first (lowest-index) `N` lanes of the result vector zeroed out. In other words, `result[0..N-1]` would be zero, `result[N] = v[0]`, `result[N+1] = v[1]`, and so on until `result[Lanes(d)-1] = v[Lanes(d)-1-N]`. The result of SlideUpLanes is implementation-defined if `N >= Lanes(d)`. * V **SlideDownLanes**(D d, V v, size_t N): slides down `v` by `N` lanes If `N < Lanes(d)` is true, returns a vector with the last (highest-index) `Lanes(d) - N` of `v` shifted down to the first (lowest-index) `Lanes(d) - N` lanes of the result vector and the last (highest-index) `N` lanes of the result vector zeroed out. In other words, `result[0] = v[N]`, `result[1] = v[N + 1]`, and so on until `result[Lanes(d)-1-N] = v[Lanes(d)-1]`, and then `result[Lanes(d)-N..N-1]` would be zero. The results of SlideDownLanes is implementation-defined if `N >= Lanes(d)`. * V **Slide1Up**(D d, V v): slides up `v` by 1 lane If `Lanes(d) == 1` is true, returns `Zero(d)`. If `Lanes(d) > 1` is true, `Slide1Up(d, v)` is equivalent to `SlideUpLanes(d, v, 1)`, but `Slide1Up(d, v)` is more efficient than `SlideUpLanes(d, v, 1)` on some platforms. * V **Slide1Down**(D d, V v): slides down `v` by 1 lane If `Lanes(d) == 1` is true, returns `Zero(d)`. If `Lanes(d) > 1` is true, `Slide1Down(d, v)` is equivalent to `SlideDownLanes(d, v, 1)`, but `Slide1Down(d, v)` is more efficient than `SlideDownLanes(d, v, 1)` on some platforms. * V **SlideUpBlocks**<int kBlocks>(D d, V v) slides up `v` by `kBlocks` blocks. `kBlocks` must be between 0 and `d.MaxBlocks() - 1`. Equivalent to `SlideUpLanes(d, v, kBlocks * (16 / sizeof(TFromD)))`, but `SlideUpBlocks(d, v)` is more efficient than `SlideUpLanes(d, v, kBlocks * (16 / sizeof(TFromD)))` on some platforms. The results of `SlideUpBlocks(d, v)` is implementation-defined if `kBlocks >= Blocks(d)` is true. * V **SlideDownBlocks**<int kBlocks>(D d, V v) slides down `v` by `kBlocks` blocks. `kBlocks` must be between 0 and `d.MaxBlocks() - 1`. Equivalent to `SlideDownLanes(d, v, kBlocks * (16 / sizeof(TFromD)))`, but `SlideDownBlocks(d, v)` is more efficient than `SlideDownLanes(d, v, kBlocks * (16 / sizeof(TFromD)))` on some platforms. The results of `SlideDownBlocks(d, v)` is implementation-defined if `kBlocks >= Blocks(d)` is true. #### Other fixed-pattern across blocks * V **BroadcastLane**<int kLane>(V v): returns a vector with all of the lanes set to `v[kLane]`. `kLane` must be in `[0, MaxLanes(DFromV()))`. * V **BroadcastBlock**<int kBlock>(V v): broadcasts the 16-byte block of vector `v` at index `kBlock` to all of the blocks of the result vector if `Lanes(DFromV()) * sizeof(TFromV) > 16` is true. Otherwise, if `Lanes(DFromV()) * sizeof(TFromV) <= 16` is true, returns `v`. `kBlock` must be in `[0, DFromV().MaxBlocks())`. * V **OddEvenBlocks**(V a, V b): returns a vector whose odd blocks are taken from `a` and the even blocks from `b`. Returns `b` if the vector has no more than one block (i.e. is 128 bits or scalar). * V **SwapAdjacentBlocks**(V v): returns a vector where blocks of index `2*i` and `2*i+1` are swapped. Results are undefined for vectors with less than two blocks; callers must first check that via `Lanes`. Only available if `HWY_TARGET != HWY_SCALAR`. * V **InterleaveEvenBlocks**(D, V a, V b): returns alternating blocks: first/lowest the first from A, then the first from B, then the third from A etc. Results are undefined for vectors with less than two blocks; callers must first check that via `Lanes`. Only available if `HWY_TARGET != HWY_SCALAR`. * V **InterleaveOddBlocks**(D, V a, V b): returns alternating blocks: first/lowest the second from A, then the second from B, then the fourth from A etc. Results are undefined for vectors with less than two blocks; callers must first check that via `Lanes`. Only available if `HWY_TARGET != HWY_SCALAR`. ### Reductions **Note**: Horizontal operations (across lanes of the same vector) such as reductions are slower than normal SIMD operations and are typically used outside critical loops. The following broadcast the result to all lanes. To obtain a scalar, you can call `GetLane` on the result, or instead use `Reduce*` below. * V **SumOfLanes**(D, V v): returns the sum of all lanes in each lane. * V **MinOfLanes**(D, V v): returns the minimum-valued lane in each lane. * V **MaxOfLanes**(D, V v): returns the maximum-valued lane in each lane. The following are equivalent to `GetLane(SumOfLanes(d, v))` etc. but potentially more efficient on some targets. * T **ReduceSum**(D, V v): returns the sum of all lanes. * T **ReduceMin**(D, V v): returns the minimum of all lanes. * T **ReduceMax**(D, V v): returns the maximum of all lanes. ### Masked reductions **Note**: Horizontal operations (across lanes of the same vector) such as reductions are slower than normal SIMD operations and are typically used outside critical loops. All ops in this section ignore lanes where `mask=false`. These are equivalent to, and potentially more efficient than, `GetLane(SumOfLanes(d, IfThenElseZero(m, v)))` etc. The result is implementation-defined when all mask elements are false. * T **MaskedReduceSum**(D, M m, V v): returns the sum of all lanes where `m[i]` is `true`. * T **MaskedReduceMin**(D, M m, V v): returns the minimum of all lanes where `m[i]` is `true`. * T **MaskedReduceMax**(D, M m, V v): returns the maximum of all lanes where `m[i]` is `true`. ### Crypto Ops in this section are only available if `HWY_TARGET != HWY_SCALAR`: * `V`: `u8` \ V **AESRound**(V state, V round_key): one round of AES encryption: `MixColumns(SubBytes(ShiftRows(state))) ^ round_key`. This matches x86 AES-NI. The latency is independent of the input values. * `V`: `u8` \ V **AESLastRound**(V state, V round_key): the last round of AES encryption: `SubBytes(ShiftRows(state)) ^ round_key`. This matches x86 AES-NI. The latency is independent of the input values. * `V`: `u8` \ V **AESRoundInv**(V state, V round_key): one round of AES decryption using the AES Equivalent Inverse Cipher: `InvMixColumns(InvShiftRows(InvSubBytes(state))) ^ round_key`. This matches x86 AES-NI. The latency is independent of the input values. * `V`: `u8` \ V **AESLastRoundInv**(V state, V round_key): the last round of AES decryption: `InvShiftRows(InvSubBytes(state)) ^ round_key`. This matches x86 AES-NI. The latency is independent of the input values. * `V`: `u8` \ V **AESInvMixColumns**(V state): the InvMixColumns operation of the AES decryption algorithm. AESInvMixColumns is used in the key expansion step of the AES Equivalent Inverse Cipher algorithm. The latency is independent of the input values. * `V`: `u8` \ V **AESKeyGenAssist**<uint8_t kRcon>(V v): AES key generation assist operation The AESKeyGenAssist operation is equivalent to doing the following, which matches the behavior of the x86 AES-NI AESKEYGENASSIST instruction: * Applying the AES SubBytes operation to each byte of `v`. * Doing a TableLookupBytes operation on each 128-bit block of the result of the `SubBytes(v)` operation with the following indices (which is broadcast to each 128-bit block in the case of vectors with 32 or more lanes): `{4, 5, 6, 7, 5, 6, 7, 4, 12, 13, 14, 15, 13, 14, 15, 12}` * Doing a bitwise XOR operation with the following vector (where `kRcon` is the rounding constant that is the first template argument of the AESKeyGenAssist function and where the below vector is broadcasted to each 128-bit block in the case of vectors with 32 or more lanes): `{0, 0, 0, 0, kRcon, 0, 0, 0, 0, 0, 0, 0, kRcon, 0, 0, 0}` * `V`: `u64` \ V **CLMulLower**(V a, V b): carryless multiplication of the lower 64 bits of each 128-bit block into a 128-bit product. The latency is independent of the input values (assuming that is true of normal integer multiplication) so this can safely be used in crypto. Applications that wish to multiply upper with lower halves can `Shuffle01` one of the operands; on x86 that is expected to be latency-neutral. * `V`: `u64` \ V **CLMulUpper**(V a, V b): as CLMulLower, but multiplies the upper 64 bits of each 128-bit block. ## Preprocessor macros * `HWY_ALIGN`: Prefix for stack-allocated (i.e. automatic storage duration) arrays to ensure they have suitable alignment for Load()/Store(). This is specific to `HWY_TARGET` and should only be used inside `HWY_NAMESPACE`. Arrays should also only be used for partial (<= 128-bit) vectors, or `LoadDup128`, because full vectors may be too large for the stack and should be heap-allocated instead (see aligned_allocator.h). Example: `HWY_ALIGN float lanes[4];` * `HWY_ALIGN_MAX`: as `HWY_ALIGN`, but independent of `HWY_TARGET` and may be used outside `HWY_NAMESPACE`. * `HWY_RESTRICT`: use after a pointer, e.g. `T* HWY_RESTRICT p`, to indicate the pointer is not aliased, i.e. it is the only way to access the data. This may improve code generation by preventing unnecessary reloads. * `HWY_LIKELY`: use `if (HWY_LIKELY(condition))` to signal to the compiler that `condition` is likely to be true. This may improve performance by influencing the layout of the generated code. * `HWY_UNLIKELY`: like `HWY_LIKELY`, but for conditions likely to be false. * `HWY_UNREACHABLE;`: signals to the compiler that control will never reach this point, which may improve code generation. ## Advanced macros Beware that these macros describe the current target being compiled. Imagine a test (e.g. sort_test) with SIMD code that also uses dynamic dispatch. There we must test the macros of the target *we will call*, e.g. via `hwy::HaveFloat64()` instead of `HWY_HAVE_FLOAT64`, which describes the current target. * `HWY_IDE` is 0 except when parsed by IDEs; adding it to conditions such as `#if HWY_TARGET != HWY_SCALAR || HWY_IDE` avoids code appearing greyed out. The following indicate full support for certain lane types and expand to 1 or 0. * `HWY_HAVE_INTEGER64`: support for 64-bit signed/unsigned integer lanes. * `HWY_HAVE_FLOAT16`: support for 16-bit floating-point lanes. * `HWY_HAVE_FLOAT64`: support for double-precision floating-point lanes. The above were previously known as `HWY_CAP_INTEGER64`, `HWY_CAP_FLOAT16`, and `HWY_CAP_FLOAT64`, respectively. Those `HWY_CAP_*` names are DEPRECATED. Even if `HWY_HAVE_FLOAT16` is 0, the following ops generally support `float16_t` and `bfloat16_t`: * `Lanes`, `MaxLanes` * `Zero`, `Set`, `Undefined` * `BitCast` * `Load`, `LoadU`, `LoadN`, `LoadNOr`, `LoadInterleaved[234]`, `MaskedLoad`, `MaskedLoadOr` * `Store`, `StoreU`, `StoreN`, `StoreInterleaved[234]`, `BlendedStore` * `PromoteTo`, `DemoteTo` * `PromoteUpperTo`, `PromoteLowerTo` * `PromoteEvenTo`, `PromoteOddTo` * `Combine`, `InsertLane`, `ZeroExtendVector` * `RebindMask`, `FirstN` * `IfThenElse`, `IfThenElseZero`, `IfThenZeroElse` Exception: `UpperHalf`, `PromoteUpperTo`, `PromoteOddTo` and `Combine` are not supported for the `HWY_SCALAR` target. `Neg` also supports `float16_t` and `*Demote2To` also supports `bfloat16_t`. * `HWY_HAVE_SCALABLE` indicates vector sizes are unknown at compile time, and determined by the CPU. * `HWY_HAVE_CONSTEXPR_LANES` is 1 if `Lanes(d)` is `constexpr`. This is always 0 `#if HWY_HAVE_SCALABLE`, and may also be 0 in other cases, currently including debug builds. `HWY_LANES_CONSTEXPR` replaces the `constexpr` keyword for this usage. It expands to `constexpr` or nothing. * `HWY_HAVE_TUPLE` indicates `Vec{2-4}`, `Create{2-4}` and `Get{2-4}` are usable. This is already true `#if !HWY_HAVE_SCALABLE`, and for SVE targets, and the RVV target when using Clang 16. We anticipate it will also become, and then remain, true starting with GCC 14. * `HWY_MEM_OPS_MIGHT_FAULT` is 1 iff `MaskedLoad` may trigger a (page) fault when attempting to load lanes from unmapped memory, even if the corresponding mask element is false. This is the case on ASAN/MSAN builds, AMD x86 prior to AVX-512, and Arm NEON. If so, users can prevent faults by ensuring memory addresses are aligned to the vector size or at least padded (allocation size increased by at least `Lanes(d)`). * `HWY_NATIVE_FMA` expands to 1 if the `MulAdd` etc. ops use native fused multiply-add for floating-point inputs. Otherwise, `MulAdd(f, m, a)` is implemented as `Add(Mul(f, m), a)`. Checking this can be useful for increasing the tolerance of expected results (around 1E-5 or 1E-6). * `HWY_IS_LITTLE_ENDIAN` expands to 1 on little-endian targets and to 0 on big-endian targets. * `HWY_IS_BIG_ENDIAN` expands to 1 on big-endian targets and to 0 on little-endian targets. The following were used to signal the maximum number of lanes for certain operations, but this is no longer necessary (nor possible on SVE/RVV), so they are DEPRECATED: * `HWY_CAP_GE256`: the current target supports vectors of >= 256 bits. * `HWY_CAP_GE512`: the current target supports vectors of >= 512 bits. ## Detecting supported targets `SupportedTargets()` returns a non-cached (re-initialized on each call) bitfield of the targets supported on the current CPU, detected using CPUID on x86 or equivalent. This may include targets that are not in `HWY_TARGETS`. Conversely, `HWY_TARGETS` may include unsupported targets. If there is no overlap, the binary will likely crash. This can only happen if: * the specified baseline is not supported by the current CPU, which contradicts the definition of baseline, so the configuration is invalid; or * the baseline does not include the enabled/attainable target(s), which are also not supported by the current CPU, and baseline targets (in particular `HWY_SCALAR`) were explicitly disabled. ## Advanced configuration macros The following macros govern which targets to generate. Unless specified otherwise, they may be defined per translation unit, e.g. to disable >128 bit vectors in modules that do not benefit from them (if bandwidth-limited or only called occasionally). This is safe because `HWY_TARGETS` always includes at least one baseline target which `HWY_EXPORT` can use. * `HWY_DISABLE_CACHE_CONTROL` makes the cache-control functions no-ops. * `HWY_DISABLE_BMI2_FMA` prevents emitting BMI/BMI2/FMA instructions. This allows using AVX2 in VMs that do not support the other instructions, but only if defined for all translation units. The following `*_TARGETS` are zero or more `HWY_Target` bits and can be defined as an expression, e.g. `-DHWY_DISABLED_TARGETS=(HWY_SSE4|HWY_AVX3)`. * `HWY_BROKEN_TARGETS` defaults to a blocklist of known compiler bugs. Defining to 0 disables the blocklist. * `HWY_DISABLED_TARGETS` defaults to zero. This allows explicitly disabling targets without interfering with the blocklist. * `HWY_BASELINE_TARGETS` defaults to the set whose predefined macros are defined (i.e. those for which the corresponding flag, e.g. -mavx2, was passed to the compiler). If specified, this should be the same for all translation units, otherwise the safety check in SupportedTargets (that all enabled baseline targets are supported) will not report a mismatch for the targets specified in other translation units. Zero or one of the following macros may be defined to replace the default policy for selecting `HWY_TARGETS`: * `HWY_COMPILE_ONLY_EMU128` selects only `HWY_EMU128`, which avoids intrinsics but implements all ops using standard C++. * `HWY_COMPILE_ONLY_SCALAR` selects only `HWY_SCALAR`, which implements single-lane-only ops using standard C++. * `HWY_COMPILE_ONLY_STATIC` selects only `HWY_STATIC_TARGET`, which effectively disables dynamic dispatch. * `HWY_COMPILE_ALL_ATTAINABLE` selects all attainable targets (i.e. enabled and permitted by the compiler, independently of autovectorization), which maximizes coverage in tests. Defining `HWY_IS_TEST`, which CMake does for the Highway tests, has the same effect. * `HWY_SKIP_NON_BEST_BASELINE` compiles all targets at least as good as the baseline. This is also the default if nothing is defined. By skipping targets older than the baseline, this reduces binary size and may resolve compile errors caused by conflicts between dynamic dispatch and -m flags. At most one `HWY_COMPILE_ONLY_*` may be defined. `HWY_COMPILE_ALL_ATTAINABLE` may also be defined even if one of `HWY_COMPILE_ONLY_*` is, but will then be ignored because the flags are tested in the order listed. As an exception, `HWY_SKIP_NON_BEST_BASELINE` overrides the effect of `HWY_COMPILE_ALL_ATTAINABLE` and `HWY_IS_TEST`. ## Compiler support Clang and GCC require opting into SIMD intrinsics, e.g. via `-mavx2` flags. However, the flag enables AVX2 instructions in the entire translation unit, which may violate the one-definition rule (that all versions of a function such as `std::abs` are equivalent, thus the linker may choose any). This can cause crashes if non-SIMD functions are defined outside of a target-specific namespace, and the linker happens to choose the AVX2 version, which means it may be called without verifying AVX2 is indeed supported. To prevent this problem, we use target-specific attributes introduced via `#pragma`. Function using SIMD must reside between `HWY_BEFORE_NAMESPACE` and `HWY_AFTER_NAMESPACE`. Conversely, non-SIMD functions and in particular, `#include` of normal or standard library headers must NOT reside between `HWY_BEFORE_NAMESPACE` and `HWY_AFTER_NAMESPACE`. Alternatively, individual functions may be prefixed with `HWY_ATTR`, which is more verbose, but ensures that `#include`-d functions are not covered by target-specific attributes. WARNING: avoid non-local static objects (namespace scope 'global variables') between `HWY_BEFORE_NAMESPACE` and `HWY_AFTER_NAMESPACE`. We have observed crashes on PPC because the compiler seems to have generated an initializer using PPC10 code to splat a constant to all vector lanes, see #1739. To prevent this, you can replace static constants with a function returning the desired value. If you know the SVE vector width and are using static dispatch, you can specify `-march=armv9-a+sve2-aes -msve-vector-bits=128` and Highway will then use `HWY_SVE2_128` as the baseline. Similarly, `-march=armv8.2-a+sve -msve-vector-bits=256` enables the `HWY_SVE_256` specialization for Neoverse V1. Note that these flags are unnecessary when using dynamic dispatch. Highway will automatically detect and dispatch to the best available target, including `HWY_SVE2_128` or `HWY_SVE_256`. Immediates (compile-time constants) are specified as template arguments to avoid constant-propagation issues with Clang on Arm. ## Type traits * `IsFloat()` returns true if the `T` is a floating-point type. * `IsSigned()` returns true if the `T` is a signed or floating-point type. * `LimitsMin/Max()` return the smallest/largest value representable in integer `T`. * `SizeTag` is an empty struct, used to select overloaded functions appropriate for `N` bytes. * `MakeUnsigned` is an alias for an unsigned type of the same size as `T`. * `MakeSigned` is an alias for a signed type of the same size as `T`. * `MakeFloat` is an alias for a floating-point type of the same size as `T`. * `MakeWide` is an alias for a type with twice the size of `T` and the same category (unsigned/signed/float). * `MakeNarrow` is an alias for a type with half the size of `T` and the same category (unsigned/signed/float). ## Memory allocation `AllocateAligned(items)` returns a unique pointer to newly allocated memory for `items` elements of POD type `T`. The start address is aligned as required by `Load/Store`. Furthermore, successive allocations are not congruent modulo a platform-specific alignment. This helps prevent false dependencies or cache conflicts. The memory allocation is analogous to using `malloc()` and `free()` with a `std::unique_ptr` since the returned items are *not* initialized or default constructed and it is released using `FreeAlignedBytes()` without calling `~T()`. `MakeUniqueAligned(Args&&... args)` creates a single object in newly allocated aligned memory as above but constructed passing the `args` argument to `T`'s constructor and returning a unique pointer to it. This is analogous to using `std::make_unique` with `new` but for aligned memory since the object is constructed and later destructed when the unique pointer is deleted. Typically this type `T` is a struct containing multiple members with `HWY_ALIGN` or `HWY_ALIGN_MAX`, or arrays whose lengths are known to be a multiple of the vector size. `MakeUniqueAlignedArray(size_t items, Args&&... args)` creates an array of objects in newly allocated aligned memory as above and constructs every element of the new array using the passed constructor parameters, returning a unique pointer to the array. Note that only the first element is guaranteed to be aligned to the vector size; because there is no padding between elements, the alignment of the remaining elements depends on the size of `T`. ## Speeding up code for older x86 platforms Thanks to @dzaima for inspiring this section. It is possible to improve the performance of your code on older x86 CPUs while remaining portable to all platforms. These older CPUs might indeed be the ones for which optimization is most impactful, because modern CPUs are usually faster and thus likelier to meet performance expectations. For those without AVX3, preferably avoid `Scatter*`; some algorithms can be reformulated to use `Gather*` instead. For pre-AVX2, it is also important to avoid `Gather*`. It is typically much more efficient to pad arrays and use `Load` instead of `MaskedLoad` and `Store` instead of `BlendedStore`. If possible, use signed 8..32 bit types instead of unsigned types for comparisons and `Min`/`Max`. Other ops which are considerably more expensive especially on SSSE3, and preferably avoided if possible: `MulEven`, i32 `Mul`, `Shl`/`Shr`, `Round`/`Trunc`/`Ceil`/`Floor`, float16 `PromoteTo`/`DemoteTo`, `AESRound`. Ops which are moderately more expensive on older CPUs: 64-bit `Abs`/`ShiftRight`/`ConvertTo`, i32->u16 `DemoteTo`, u32->f32 `ConvertTo`, `Not`, `IfThenElse`, `RotateRight`, `OddEven`, `BroadcastSignBit`. It is likely difficult to avoid all of these ops (about a fifth of the total). Apps usually also cannot more efficiently achieve the same result as any op without using it - this is an explicit design goal of Highway. However, sometimes it is possible to restructure your code to avoid `Not`, e.g. by hoisting it outside the SIMD code, or fusing with `AndNot` or `CompressNot`. highway-1.3.0/g3doc/release_testing_process.md000066400000000000000000000015121504730760100214110ustar00rootroot00000000000000## Release testing process We run the following before a release: ### Windows x86 host ``` run_tests.bat ``` ### Linux x86 host Clang, GCC; Arm, PPC cross-compile: `./run_tests.sh` Manual test of WASM and WASM_EMU256 targets. Check libjxl build actions at https://github.com/libjxl/libjxl/pull/2269. ### Version updates Prepend to debian/changelog and update mentions of the current version in: * base.h * CMakeLists.txt * MODULE.bazel * g3doc/faq.md ### Signing the release * `git archive --prefix=highway-X.Y.Z/ -o highway-X.Y.Z.tar.gz X.Y.Z` * `gpg --armor --detach-sign highway-X.Y.Z.tar.gz` * Edit release and attach the resulting `highway-X.Y.Z.tar.gz.asc` and .gz. (See https://wiki.debian.org/Creating%20signed%20GitHub%20releases and search hkps://keys.openpgp.org for janwas@google.com to obtain the key) highway-1.3.0/hwy.gni000066400000000000000000000023161504730760100144660ustar00rootroot00000000000000_hwy = get_path_info("hwy", "abspath") hwy_public = [ # Public "$_hwy/abort.h", "$_hwy/aligned_allocator.h", "$_hwy/base.h", "$_hwy/cache_control.h", "$_hwy/per_target.h", "$_hwy/print.h", # Public, textual "$_hwy/foreach_target.h", "$_hwy/highway_export.h", "$_hwy/highway.h", "$_hwy/print-inl.h", "$_hwy/timer-inl.h", # Private "$_hwy/detect_compiler_arch.h", "$_hwy/detect_targets.h", "$_hwy/targets.h", # Private, textual: "$_hwy/ops/arm_neon-inl.h", "$_hwy/ops/arm_sve-inl.h", "$_hwy/ops/emu128-inl.h", "$_hwy/ops/generic_ops-inl.h", "$_hwy/ops/scalar-inl.h", "$_hwy/ops/set_macros-inl.h", "$_hwy/ops/shared-inl.h", "$_hwy/ops/x86_128-inl.h", "$_hwy/ops/x86_256-inl.h", "$_hwy/ops/x86_512-inl.h", "$_hwy/ops/x86_avx3-inl.h", ] hwy_sources = [ "$_hwy/abort.cc", "$_hwy/aligned_allocator.cc", "$_hwy/per_target.cc", "$_hwy/print.cc", "$_hwy/targets.cc", ] hwy_contrib_public = [ "$_hwy/contrib/algo/copy-inl.h", "$_hwy/contrib/algo/find-inl.h", "$_hwy/contrib/algo/transform-inl.h", "$_hwy/contrib/dot/dot-inl.h", "$_hwy/contrib/image/image.h", "$_hwy/contrib/math/math-inl.h", ] hwy_contrib_sources = [ "$_hwy/contrib/image/image.cc", ] highway-1.3.0/hwy/000077500000000000000000000000001504730760100137655ustar00rootroot00000000000000highway-1.3.0/hwy/abort.cc000066400000000000000000000061041504730760100154040ustar00rootroot00000000000000// Copyright 2019 Google LLC // Copyright 2024 Arm Limited and/or its affiliates // SPDX-License-Identifier: Apache-2.0 // SPDX-License-Identifier: BSD-3-Clause #include "hwy/abort.h" #include #include #include #include #include #include "hwy/base.h" #if HWY_IS_ASAN || HWY_IS_MSAN || HWY_IS_TSAN #include "sanitizer/common_interface_defs.h" // __sanitizer_print_stack_trace #endif namespace hwy { namespace { std::atomic& AtomicWarnFunc() { static std::atomic func; return func; } std::atomic& AtomicAbortFunc() { static std::atomic func; return func; } std::string GetBaseName(std::string const& file_name) { auto last_slash = file_name.find_last_of("/\\"); return file_name.substr(last_slash + 1); } } // namespace // Returning a reference is unfortunately incompatible with `std::atomic`, which // is required to safely implement `SetWarnFunc`. As a workaround, we store a // copy here, update it when called, and return a reference to the copy. This // has the added benefit of protecting the actual pointer from modification. HWY_DLLEXPORT WarnFunc& GetWarnFunc() { static WarnFunc func; func = AtomicWarnFunc().load(); return func; } HWY_DLLEXPORT AbortFunc& GetAbortFunc() { static AbortFunc func; func = AtomicAbortFunc().load(); return func; } HWY_DLLEXPORT WarnFunc SetWarnFunc(WarnFunc func) { return AtomicWarnFunc().exchange(func); } HWY_DLLEXPORT AbortFunc SetAbortFunc(AbortFunc func) { return AtomicAbortFunc().exchange(func); } HWY_DLLEXPORT void HWY_FORMAT(3, 4) Warn(const char* file, int line, const char* format, ...) { char buf[800]; va_list args; va_start(args, format); vsnprintf(buf, sizeof(buf), format, args); va_end(args); WarnFunc handler = AtomicWarnFunc().load(); if (handler != nullptr) { handler(file, line, buf); } else { fprintf(stderr, "Warn at %s:%d: %s\n", GetBaseName(file).data(), line, buf); } } HWY_DLLEXPORT HWY_NORETURN void HWY_FORMAT(3, 4) Abort(const char* file, int line, const char* format, ...) { char buf[800]; va_list args; va_start(args, format); vsnprintf(buf, sizeof(buf), format, args); va_end(args); AbortFunc handler = AtomicAbortFunc().load(); if (handler != nullptr) { handler(file, line, buf); } else { fprintf(stderr, "Abort at %s:%d: %s\n", GetBaseName(file).data(), line, buf); } // If compiled with any sanitizer, they can also print a stack trace. #if HWY_IS_ASAN || HWY_IS_MSAN || HWY_IS_TSAN __sanitizer_print_stack_trace(); #endif // HWY_IS_* fflush(stderr); // Now terminate the program: #if HWY_ARCH_RISCV exit(1); // trap/abort just freeze Spike. #elif HWY_IS_DEBUG_BUILD && !HWY_COMPILER_MSVC && !HWY_ARCH_ARM // Facilitates breaking into a debugger, but don't use this in non-debug // builds because it looks like "illegal instruction", which is misleading. // Also does not work on Arm. __builtin_trap(); #else abort(); // Compile error without this due to HWY_NORETURN. #endif } } // namespace hwy highway-1.3.0/hwy/abort.h000066400000000000000000000005221504730760100152440ustar00rootroot00000000000000// Copyright 2024 Arm Limited and/or its affiliates // SPDX-License-Identifier: Apache-2.0 // SPDX-License-Identifier: BSD-3-Clause #ifndef HIGHWAY_HWY_ABORT_H_ #define HIGHWAY_HWY_ABORT_H_ // Empty header for compatibility. // All Abort/Warn functionalities are in base.h. #endif // HIGHWAY_HWY_ABORT_H_ highway-1.3.0/hwy/abort_header_only_test.cc000066400000000000000000000010071504730760100210110ustar00rootroot00000000000000 #define HWY_HEADER_ONLY #include #include "hwy/base.h" #include "hwy/tests/hwy_gtest.h" #include "hwy/tests/test_util-inl.h" // HWY_ASSERT_EQ namespace hwy { namespace { #ifdef GTEST_HAS_DEATH_TEST TEST(AbortDeathTest, AbortDefault) { std::string expected = std::string("Abort at ") + __FILE__ + ":" + std::to_string(__LINE__ + 1) + ": Test Abort"; ASSERT_DEATH(HWY_ABORT("Test %s", "Abort"), expected); } #endif // GTEST_HAS_DEATH_TEST } // namespace } // namespace hwy highway-1.3.0/hwy/abort_test.cc000066400000000000000000000065371504730760100164550ustar00rootroot00000000000000// Copyright 2024 Arm Limited and/or its affiliates // SPDX-License-Identifier: Apache-2.0 // SPDX-License-Identifier: BSD-3-Clause #include "hwy/abort.h" #include #include #include "hwy/base.h" #include "hwy/tests/hwy_gtest.h" #include "hwy/tests/test_util-inl.h" // HWY_ASSERT_EQ namespace hwy { namespace { TEST(AbortTest, WarnOverrideChain) { WarnFunc FirstHandler = [](const char* file, int line, const char* formatted_err) -> void { fprintf(stderr, "%s from %d of %s", formatted_err, line, file); }; WarnFunc SecondHandler = [](const char* file, int line, const char* formatted_err) -> void { fprintf(stderr, "%s from %d of %s", formatted_err, line, file); }; // Do not check that the first SetWarnFunc returns nullptr, because it is // not guaranteed to be the first call - other TEST may come first. (void)SetWarnFunc(FirstHandler); HWY_ASSERT(GetWarnFunc() == FirstHandler); HWY_ASSERT(SetWarnFunc(SecondHandler) == FirstHandler); HWY_ASSERT(GetWarnFunc() == SecondHandler); HWY_ASSERT(SetWarnFunc(nullptr) == SecondHandler); HWY_ASSERT(GetWarnFunc() == nullptr); } #ifdef GTEST_HAS_DEATH_TEST std::string GetBaseName(std::string const& file_name) { auto last_slash = file_name.find_last_of("/\\"); return file_name.substr(last_slash + 1); } TEST(AbortDeathTest, AbortDefault) { std::string expected = std::string("Abort at ") + GetBaseName(__FILE__) + ":" + std::to_string(__LINE__ + 1) + ": Test Abort"; ASSERT_DEATH(HWY_ABORT("Test %s", "Abort"), expected); } TEST(AbortDeathTest, AbortOverride) { const AbortFunc CustomAbortHandler = [](const char* file, int line, const char* formatted_err) -> void { fprintf(stderr, "%s from %02d of %s", formatted_err, line, GetBaseName(file).data()); }; SetAbortFunc(CustomAbortHandler); // googletest regex does not support `+` for digits on Windows?! // https://google.github.io/googletest/advanced.html#regular-expression-syntax // Hence we insert the expected line number manually. char buf[100]; const std::string file = GetBaseName(__FILE__); const int line = __LINE__ + 2; // from which HWY_ABORT is called snprintf(buf, sizeof(buf), "Test Abort from %02d of %s", line, file.c_str()); ASSERT_DEATH({ HWY_ABORT("Test %s", "Abort"); }, buf); } #endif // GTEST_HAS_DEATH_TEST TEST(AbortTest, AbortOverrideChain) { AbortFunc FirstHandler = [](const char* file, int line, const char* formatted_err) -> void { fprintf(stderr, "%s from %d of %s", formatted_err, line, file); }; AbortFunc SecondHandler = [](const char* file, int line, const char* formatted_err) -> void { fprintf(stderr, "%s from %d of %s", formatted_err, line, file); }; // Do not check that the first SetAbortFunc returns nullptr, because it is // not guaranteed to be the first call - other TEST may come first. (void)SetAbortFunc(FirstHandler); HWY_ASSERT(GetAbortFunc() == FirstHandler); HWY_ASSERT(SetAbortFunc(SecondHandler) == FirstHandler); HWY_ASSERT(GetAbortFunc() == SecondHandler); HWY_ASSERT(SetAbortFunc(nullptr) == SecondHandler); HWY_ASSERT(GetAbortFunc() == nullptr); } } // namespace } // namespace hwy HWY_TEST_MAIN(); highway-1.3.0/hwy/aligned_allocator.cc000066400000000000000000000126271504730760100177470ustar00rootroot00000000000000// Copyright 2019 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include "hwy/aligned_allocator.h" #include #include #include // malloc #include #include #include "hwy/base.h" namespace hwy { namespace { #if HWY_ARCH_RISCV && defined(__riscv_v_intrinsic) && \ __riscv_v_intrinsic >= 11000 // Not actually an upper bound on the size, but this value prevents crossing a // 4K boundary (relevant on Andes). constexpr size_t kAlignment = HWY_MAX(HWY_ALIGNMENT, 4096); #else constexpr size_t kAlignment = HWY_ALIGNMENT; #endif #if HWY_ARCH_X86 // On x86, aliasing can only occur at multiples of 2K. To reduce the chance of // allocations being equal mod 2K, we round up to kAlias and add a cyclic // offset which is a multiple of kAlignment. Rounding up to only 1K decreases // the number of alias-free allocations, but also wastes less memory. constexpr size_t kAlias = HWY_MAX(kAlignment, 1024); #else constexpr size_t kAlias = kAlignment; #endif #pragma pack(push, 1) struct AllocationHeader { void* allocated; size_t payload_size; }; #pragma pack(pop) // Returns a 'random' (cyclical) offset for AllocateAlignedBytes. size_t NextAlignedOffset() { static std::atomic next{0}; static_assert(kAlias % kAlignment == 0, "kAlias must be a multiple"); constexpr size_t kGroups = kAlias / kAlignment; const size_t group = next.fetch_add(1, std::memory_order_relaxed) % kGroups; const size_t offset = kAlignment * group; HWY_DASSERT((offset % kAlignment == 0) && offset <= kAlias); return offset; } } // namespace HWY_DLLEXPORT void* AllocateAlignedBytes(const size_t payload_size, AllocPtr alloc_ptr, void* opaque_ptr) { HWY_ASSERT(payload_size != 0); // likely a bug in caller if (payload_size >= std::numeric_limits::max() / 2) { HWY_DASSERT(false && "payload_size too large"); return nullptr; } size_t offset = NextAlignedOffset(); // What: | misalign | unused | AllocationHeader |payload // Size: |<= kAlias | offset |payload_size // ^allocated.^aligned.^header............^payload // The header must immediately precede payload, which must remain aligned. // To avoid wasting space, the header resides at the end of `unused`, // which therefore cannot be empty (offset == 0). if (offset == 0) { offset = RoundUpTo(sizeof(AllocationHeader), kAlignment); } const size_t allocated_size = kAlias + offset + payload_size; void* allocated; if (alloc_ptr == nullptr) { allocated = malloc(allocated_size); } else { allocated = (*alloc_ptr)(opaque_ptr, allocated_size); } if (allocated == nullptr) return nullptr; // Always round up even if already aligned - we already asked for kAlias // extra bytes and there's no way to give them back. uintptr_t aligned = reinterpret_cast(allocated) + kAlias; static_assert((kAlias & (kAlias - 1)) == 0, "kAlias must be a power of 2"); static_assert(kAlias >= kAlignment, "Cannot align to more than kAlias"); aligned &= ~(kAlias - 1); const uintptr_t payload = aligned + offset; // still aligned HWY_DASSERT(payload % kAlignment == 0); // Stash `allocated` and payload_size inside header for FreeAlignedBytes(). // The allocated_size can be reconstructed from the payload_size. AllocationHeader* header = reinterpret_cast(payload) - 1; HWY_DASSERT(reinterpret_cast(header) >= aligned); header->allocated = allocated; header->payload_size = payload_size; return HWY_ASSUME_ALIGNED(reinterpret_cast(payload), kAlignment); } HWY_DLLEXPORT void FreeAlignedBytes(const void* aligned_pointer, FreePtr free_ptr, void* opaque_ptr) { if (aligned_pointer == nullptr) return; const uintptr_t payload = reinterpret_cast(aligned_pointer); HWY_DASSERT(payload % kAlignment == 0); const AllocationHeader* header = reinterpret_cast(payload) - 1; if (free_ptr == nullptr) { free(header->allocated); } else { (*free_ptr)(opaque_ptr, header->allocated); } } // static HWY_DLLEXPORT void AlignedDeleter::DeleteAlignedArray(void* aligned_pointer, FreePtr free_ptr, void* opaque_ptr, ArrayDeleter deleter) { if (aligned_pointer == nullptr) return; const uintptr_t payload = reinterpret_cast(aligned_pointer); HWY_DASSERT(payload % kAlignment == 0); const AllocationHeader* header = reinterpret_cast(payload) - 1; if (deleter) { (*deleter)(aligned_pointer, header->payload_size); } if (free_ptr == nullptr) { free(header->allocated); } else { (*free_ptr)(opaque_ptr, header->allocated); } } } // namespace hwy highway-1.3.0/hwy/aligned_allocator.h000066400000000000000000000370661504730760100176150ustar00rootroot00000000000000// Copyright 2020 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #ifndef HIGHWAY_HWY_ALIGNED_ALLOCATOR_H_ #define HIGHWAY_HWY_ALIGNED_ALLOCATOR_H_ // Memory allocator with support for alignment and offsets. #include #include #include #include #include #include #include #include #include #include #include "hwy/base.h" #include "hwy/per_target.h" namespace hwy { // Minimum alignment of allocated memory for use in HWY_ASSUME_ALIGNED, which // requires a literal. To prevent false sharing, this should be at least the // L1 cache line size, usually 64 bytes. However, Intel's L2 prefetchers may // access pairs of lines, and M1 L2 and POWER8 lines are also 128 bytes. #define HWY_ALIGNMENT 128 // `align` is in bytes. template HWY_API constexpr bool IsAligned(T* ptr, size_t align = HWY_ALIGNMENT) { return reinterpret_cast(ptr) % align == 0; } // Pointers to functions equivalent to malloc/free with an opaque void* passed // to them. using AllocPtr = void* (*)(void* opaque, size_t bytes); using FreePtr = void (*)(void* opaque, void* memory); // Returns null or a pointer to at least `payload_size` (which can be zero) // bytes of newly allocated memory, aligned to the larger of HWY_ALIGNMENT and // the vector size. Calls `alloc` with the passed `opaque` pointer to obtain // memory or malloc() if it is null. HWY_DLLEXPORT void* AllocateAlignedBytes(size_t payload_size, AllocPtr alloc_ptr = nullptr, void* opaque_ptr = nullptr); // Frees all memory. No effect if `aligned_pointer` == nullptr, otherwise it // must have been returned from a previous call to `AllocateAlignedBytes`. // Calls `free_ptr` with the passed `opaque_ptr` pointer to free the memory; if // `free_ptr` function is null, uses the default free(). HWY_DLLEXPORT void FreeAlignedBytes(const void* aligned_pointer, FreePtr free_ptr, void* opaque_ptr); // Class that deletes the aligned pointer passed to operator() calling the // destructor before freeing the pointer. This is equivalent to the // std::default_delete but for aligned objects. For a similar deleter equivalent // to free() for aligned memory see AlignedFreer(). class AlignedDeleter { public: AlignedDeleter() : free_(nullptr), opaque_ptr_(nullptr) {} AlignedDeleter(FreePtr free_ptr, void* opaque_ptr) : free_(free_ptr), opaque_ptr_(opaque_ptr) {} template void operator()(T* aligned_pointer) const { return DeleteAlignedArray(aligned_pointer, free_, opaque_ptr_, TypedArrayDeleter); } private: template static void TypedArrayDeleter(void* ptr, size_t size_in_bytes) { size_t elems = size_in_bytes / sizeof(T); for (size_t i = 0; i < elems; i++) { // Explicitly call the destructor on each element. (static_cast(ptr) + i)->~T(); } } // Function prototype that calls the destructor for each element in a typed // array. TypeArrayDeleter would match this prototype. using ArrayDeleter = void (*)(void* t_ptr, size_t t_size); HWY_DLLEXPORT static void DeleteAlignedArray(void* aligned_pointer, FreePtr free_ptr, void* opaque_ptr, ArrayDeleter deleter); FreePtr free_; void* opaque_ptr_; }; // Unique pointer to T with custom aligned deleter. This can be a single // element U or an array of element if T is a U[]. The custom aligned deleter // will call the destructor on U or each element of a U[] in the array case. template using AlignedUniquePtr = std::unique_ptr; // Aligned memory equivalent of make_unique using the custom allocators // alloc/free with the passed `opaque` pointer. This function calls the // constructor with the passed Args... and calls the destructor of the object // when the AlignedUniquePtr is destroyed. template AlignedUniquePtr MakeUniqueAlignedWithAlloc(AllocPtr alloc, FreePtr free, void* opaque, Args&&... args) { T* ptr = static_cast(AllocateAlignedBytes(sizeof(T), alloc, opaque)); return AlignedUniquePtr(new (ptr) T(std::forward(args)...), AlignedDeleter(free, opaque)); } // Similar to MakeUniqueAlignedWithAlloc but using the default alloc/free // functions. template AlignedUniquePtr MakeUniqueAligned(Args&&... args) { T* ptr = static_cast(AllocateAlignedBytes(sizeof(T))); return AlignedUniquePtr(new (ptr) T(std::forward(args)...), AlignedDeleter()); } template struct AlignedAllocator { using value_type = T; AlignedAllocator() = default; template explicit AlignedAllocator(const AlignedAllocator&) noexcept {} template value_type* allocate(V n) { static_assert(std::is_integral::value, "AlignedAllocator only supports integer types"); static_assert(sizeof(V) <= sizeof(std::size_t), "V n must be smaller or equal size_t to avoid overflow"); return static_cast( AllocateAlignedBytes(static_cast(n) * sizeof(value_type))); } template void deallocate(value_type* p, HWY_MAYBE_UNUSED V n) { return FreeAlignedBytes(p, nullptr, nullptr); } }; template constexpr bool operator==(const AlignedAllocator&, const AlignedAllocator&) noexcept { return true; } template constexpr bool operator!=(const AlignedAllocator&, const AlignedAllocator&) noexcept { return false; } template using AlignedVector = std::vector>; // Helpers for array allocators (avoids overflow) namespace detail { // Returns x such that 1u << x == n (if n is a power of two). static inline constexpr size_t ShiftCount(size_t n) { return (n <= 1) ? 0 : 1 + ShiftCount(n / 2); } template T* AllocateAlignedItems(size_t items, AllocPtr alloc_ptr, void* opaque_ptr) { constexpr size_t kSize = sizeof(T); constexpr bool kIsPow2 = (kSize & (kSize - 1)) == 0; constexpr size_t kBits = ShiftCount(kSize); static_assert(!kIsPow2 || (1ull << kBits) == kSize, "ShiftCount has a bug"); const size_t bytes = kIsPow2 ? items << kBits : items * kSize; const size_t check = kIsPow2 ? bytes >> kBits : bytes / kSize; if (check != items) { return nullptr; // overflowed } return static_cast(AllocateAlignedBytes(bytes, alloc_ptr, opaque_ptr)); } } // namespace detail // Aligned memory equivalent of make_unique for array types using the // custom allocators alloc/free. This function calls the constructor with the // passed Args... on every created item. The destructor of each element will be // called when the AlignedUniquePtr is destroyed. template AlignedUniquePtr MakeUniqueAlignedArrayWithAlloc( size_t items, AllocPtr alloc, FreePtr free, void* opaque, Args&&... args) { T* ptr = detail::AllocateAlignedItems(items, alloc, opaque); if (ptr != nullptr) { for (size_t i = 0; i < items; i++) { new (ptr + i) T(std::forward(args)...); } } return AlignedUniquePtr(ptr, AlignedDeleter(free, opaque)); } template AlignedUniquePtr MakeUniqueAlignedArray(size_t items, Args&&... args) { return MakeUniqueAlignedArrayWithAlloc( items, nullptr, nullptr, nullptr, std::forward(args)...); } // Custom deleter for std::unique_ptr equivalent to using free() as a deleter // but for aligned memory. class AlignedFreer { public: // Pass address of this to ctor to skip deleting externally-owned memory. static void DoNothing(void* /*opaque*/, void* /*aligned_pointer*/) {} AlignedFreer() : free_(nullptr), opaque_ptr_(nullptr) {} AlignedFreer(FreePtr free_ptr, void* opaque_ptr) : free_(free_ptr), opaque_ptr_(opaque_ptr) {} template void operator()(T* aligned_pointer) const { FreeAlignedBytes(aligned_pointer, free_, opaque_ptr_); } private: FreePtr free_; void* opaque_ptr_; }; // Unique pointer to single POD, or (if T is U[]) an array of POD. For non POD // data use AlignedUniquePtr. template using AlignedFreeUniquePtr = std::unique_ptr; // Allocate an aligned and uninitialized array of POD values as a unique_ptr. // Upon destruction of the unique_ptr the aligned array will be freed. template AlignedFreeUniquePtr AllocateAligned(const size_t items, AllocPtr alloc, FreePtr free, void* opaque) { static_assert(std::is_trivially_copyable::value, "AllocateAligned: requires trivially copyable T"); static_assert(std::is_trivially_destructible::value, "AllocateAligned: requires trivially destructible T"); return AlignedFreeUniquePtr( detail::AllocateAlignedItems(items, alloc, opaque), AlignedFreer(free, opaque)); } // Same as previous AllocateAligned(), using default allocate/free functions. template AlignedFreeUniquePtr AllocateAligned(const size_t items) { return AllocateAligned(items, nullptr, nullptr, nullptr); } // A simple span containing data and size of data. template class Span { public: Span() = default; Span(T* data, size_t size) : size_(size), data_(data) {} template Span(U u) : Span(u.data(), u.size()) {} Span(std::initializer_list v) : Span(v.begin(), v.size()) {} // Copies the contents of the initializer list to the span. Span& operator=(std::initializer_list v) { HWY_DASSERT(size_ == v.size()); CopyBytes(v.begin(), data_, sizeof(T) * std::min(size_, v.size())); return *this; } // Returns the size of the contained data. size_t size() const { return size_; } // Returns a pointer to the contained data. T* data() { return data_; } T* data() const { return data_; } // Returns the element at index. T& operator[](size_t index) const { return data_[index]; } // Returns an iterator pointing to the first element of this span. T* begin() { return data_; } // Returns a const iterator pointing to the first element of this span. constexpr const T* cbegin() const { return data_; } // Returns an iterator pointing just beyond the last element at the // end of this span. T* end() { return data_ + size_; } // Returns a const iterator pointing just beyond the last element at the // end of this span. constexpr const T* cend() const { return data_ + size_; } private: size_t size_ = 0; T* data_ = nullptr; }; // A multi dimensional array containing an aligned buffer. // // To maintain alignment, the innermost dimension will be padded to ensure all // innermost arrays are aligned. template class AlignedNDArray { static_assert(std::is_trivial::value, "AlignedNDArray can only contain trivial types"); public: AlignedNDArray(AlignedNDArray&& other) = default; AlignedNDArray& operator=(AlignedNDArray&& other) = default; // Constructs an array of the provided shape and fills it with zeros. explicit AlignedNDArray(std::array shape) : shape_(shape) { sizes_ = ComputeSizes(shape_); memory_shape_ = shape_; // Round the innermost dimension up to the number of bytes available for // SIMD operations on this architecture to make sure that each innermost // array is aligned from the first element. memory_shape_[axes - 1] = RoundUpTo(memory_shape_[axes - 1], VectorBytes()); memory_sizes_ = ComputeSizes(memory_shape_); buffer_ = hwy::AllocateAligned(memory_size()); hwy::ZeroBytes(buffer_.get(), memory_size() * sizeof(T)); } // Returns a span containing the innermost array at the provided indices. Span operator[](std::array indices) { return Span(buffer_.get() + Offset(indices), sizes_[indices.size()]); } // Returns a const span containing the innermost array at the provided // indices. Span operator[](std::array indices) const { return Span(buffer_.get() + Offset(indices), sizes_[indices.size()]); } // Returns the shape of the array, which might be smaller than the allocated // buffer after padding the last axis to alignment. const std::array& shape() const { return shape_; } // Returns the shape of the allocated buffer, which might be larger than the // used size of the array after padding to alignment. const std::array& memory_shape() const { return memory_shape_; } // Returns the size of the array, which might be smaller than the allocated // buffer after padding the last axis to alignment. size_t size() const { return sizes_[0]; } // Returns the size of the allocated buffer, which might be larger than the // used size of the array after padding to alignment. size_t memory_size() const { return memory_sizes_[0]; } // Returns a pointer to the allocated buffer. T* data() { return buffer_.get(); } // Returns a const pointer to the buffer. const T* data() const { return buffer_.get(); } // Truncates the array by updating its shape. // // The new shape must be equal to or less than the old shape in all axes. // // Doesn't modify underlying memory. void truncate(const std::array& new_shape) { #if HWY_IS_DEBUG_BUILD for (size_t axis_index = 0; axis_index < axes; ++axis_index) { HWY_ASSERT(new_shape[axis_index] <= shape_[axis_index]); } #endif shape_ = new_shape; sizes_ = ComputeSizes(shape_); } private: std::array shape_; std::array memory_shape_; std::array sizes_; std::array memory_sizes_; hwy::AlignedFreeUniquePtr buffer_; // Computes offset in the buffer based on the provided indices. size_t Offset(std::array indices) const { size_t offset = 0; size_t shape_index = 0; for (const size_t axis_index : indices) { offset += memory_sizes_[shape_index + 1] * axis_index; shape_index++; } return offset; } // Computes the sizes of all sub arrays based on the sizes of each axis. // // Does this by multiplying the size of each axis with the previous one in // reverse order, starting with the conceptual axis of size 1 containing the // actual elements in the array. static std::array ComputeSizes( std::array shape) { std::array sizes; size_t axis = shape.size(); sizes[axis] = 1; while (axis > 0) { --axis; sizes[axis] = sizes[axis + 1] * shape[axis]; } return sizes; } }; } // namespace hwy #endif // HIGHWAY_HWY_ALIGNED_ALLOCATOR_H_ highway-1.3.0/hwy/aligned_allocator_test.cc000066400000000000000000000360701504730760100210040ustar00rootroot00000000000000// Copyright 2020 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include "hwy/aligned_allocator.h" #include #include #include // malloc #include #include #include #include #include "hwy/base.h" #include "hwy/per_target.h" #include "hwy/tests/hwy_gtest.h" #include "hwy/tests/test_util-inl.h" // HWY_ASSERT_EQ namespace { // Sample object that keeps track on an external counter of how many times was // the explicit constructor and destructor called. template class SampleObject { public: SampleObject() { data_[0] = 'a'; } explicit SampleObject(int* counter) : counter_(counter) { if (counter) (*counter)++; data_[0] = 'b'; } ~SampleObject() { if (counter_) (*counter_)--; } static_assert(N > sizeof(int*), "SampleObject size too small."); int* counter_ = nullptr; char data_[N - sizeof(int*)]; }; class FakeAllocator { public: // static AllocPtr and FreePtr member to be used with the aligned // allocator. These functions calls the private non-static members. static void* StaticAlloc(void* opaque, size_t bytes) { return reinterpret_cast(opaque)->Alloc(bytes); } static void StaticFree(void* opaque, void* memory) { return reinterpret_cast(opaque)->Free(memory); } // Returns the number of pending allocations to be freed. size_t PendingAllocs() { return allocs_.size(); } private: void* Alloc(size_t bytes) { void* ret = malloc(bytes); allocs_.insert(ret); return ret; } void Free(void* memory) { if (!memory) return; HWY_ASSERT(allocs_.end() != allocs_.find(memory)); allocs_.erase(memory); free(memory); } std::set allocs_; }; } // namespace namespace hwy { namespace { #if !HWY_TEST_STANDALONE class AlignedAllocatorTest : public testing::Test {}; #endif TEST(AlignedAllocatorTest, TestFreeNullptr) { // Calling free with a nullptr is always ok. FreeAlignedBytes(/*aligned_pointer=*/nullptr, /*free_ptr=*/nullptr, /*opaque_ptr=*/nullptr); } TEST(AlignedAllocatorTest, TestLog2) { HWY_ASSERT_EQ(0u, detail::ShiftCount(1)); HWY_ASSERT_EQ(1u, detail::ShiftCount(2)); HWY_ASSERT_EQ(3u, detail::ShiftCount(8)); } // Allocator returns null when it detects overflow of items * sizeof(T). TEST(AlignedAllocatorTest, TestOverflow) { constexpr size_t max = ~size_t(0); constexpr size_t msb = (max >> 1) + 1; using Size5 = std::array; using Size10 = std::array; HWY_ASSERT(nullptr == detail::AllocateAlignedItems(max / 2, nullptr, nullptr)); HWY_ASSERT(nullptr == detail::AllocateAlignedItems(max / 3, nullptr, nullptr)); HWY_ASSERT(nullptr == detail::AllocateAlignedItems(max / 4, nullptr, nullptr)); HWY_ASSERT(nullptr == detail::AllocateAlignedItems(msb, nullptr, nullptr)); HWY_ASSERT(nullptr == detail::AllocateAlignedItems(msb + 1, nullptr, nullptr)); HWY_ASSERT(nullptr == detail::AllocateAlignedItems(msb / 4, nullptr, nullptr)); } TEST(AlignedAllocatorTest, TestAllocDefaultPointers) { const size_t kSize = 7777; void* ptr = AllocateAlignedBytes(kSize, /*alloc_ptr=*/nullptr, /*opaque_ptr=*/nullptr); HWY_ASSERT(ptr != nullptr); // Make sure the pointer is actually aligned. HWY_ASSERT_EQ(0U, reinterpret_cast(ptr) % HWY_ALIGNMENT); char* p = static_cast(ptr); size_t ret = 0; for (size_t i = 0; i < kSize; i++) { // Performs a computation using p[] to prevent it being optimized away. p[i] = static_cast(i & 0x7F); if (i) ret += static_cast(p[i] * p[i - 1]); } HWY_ASSERT(ret != size_t{0}); FreeAlignedBytes(ptr, /*free_ptr=*/nullptr, /*opaque_ptr=*/nullptr); } TEST(AlignedAllocatorTest, TestEmptyAlignedUniquePtr) { AlignedUniquePtr> ptr(nullptr, AlignedDeleter()); AlignedUniquePtr[]> arr(nullptr, AlignedDeleter()); } TEST(AlignedAllocatorTest, TestEmptyAlignedFreeUniquePtr) { AlignedFreeUniquePtr> ptr(nullptr, AlignedFreer()); AlignedFreeUniquePtr[]> arr(nullptr, AlignedFreer()); } TEST(AlignedAllocatorTest, TestCustomAlloc) { FakeAllocator fake_alloc; const size_t kSize = 7777; void* ptr = AllocateAlignedBytes(kSize, &FakeAllocator::StaticAlloc, &fake_alloc); HWY_ASSERT(ptr != nullptr); // We should have only requested one alloc from the allocator. HWY_ASSERT_EQ(1U, fake_alloc.PendingAllocs()); // Make sure the pointer is actually aligned. HWY_ASSERT_EQ(0U, reinterpret_cast(ptr) % HWY_ALIGNMENT); FreeAlignedBytes(ptr, &FakeAllocator::StaticFree, &fake_alloc); HWY_ASSERT_EQ(0U, fake_alloc.PendingAllocs()); } TEST(AlignedAllocatorTest, TestMakeUniqueAlignedDefaultConstructor) { { auto ptr = MakeUniqueAligned>(); // Default constructor sets the data_[0] to 'a'. HWY_ASSERT_EQ('a', ptr->data_[0]); HWY_ASSERT(nullptr == ptr->counter_); } } TEST(AlignedAllocatorTest, TestMakeUniqueAligned) { int counter = 0; { // Creates the object, initializes it with the explicit constructor and // returns an unique_ptr to it. auto ptr = MakeUniqueAligned>(&counter); HWY_ASSERT_EQ(1, counter); // Custom constructor sets the data_[0] to 'b'. HWY_ASSERT_EQ('b', ptr->data_[0]); } HWY_ASSERT_EQ(0, counter); } TEST(AlignedAllocatorTest, TestMakeUniqueAlignedArray) { int counter = 0; { // Creates the array of objects and initializes them with the explicit // constructor. auto arr = MakeUniqueAlignedArray>(7, &counter); HWY_ASSERT_EQ(7, counter); for (size_t i = 0; i < 7; i++) { // Custom constructor sets the data_[0] to 'b'. HWY_ASSERT_EQ('b', arr[i].data_[0]); } } HWY_ASSERT_EQ(0, counter); } TEST(AlignedAllocatorTest, TestAllocSingleInt) { auto ptr = AllocateAligned(1); HWY_ASSERT(ptr.get() != nullptr); HWY_ASSERT_EQ(0U, reinterpret_cast(ptr.get()) % HWY_ALIGNMENT); // Force delete of the unique_ptr now to check that it doesn't crash. ptr.reset(nullptr); HWY_ASSERT(nullptr == ptr.get()); } TEST(AlignedAllocatorTest, TestAllocMultipleInt) { const size_t kSize = 7777; auto ptr = AllocateAligned(kSize); HWY_ASSERT(ptr.get() != nullptr); HWY_ASSERT_EQ(0U, reinterpret_cast(ptr.get()) % HWY_ALIGNMENT); // ptr[i] is actually (*ptr.get())[i] which will use the operator[] of the // underlying type chosen by AllocateAligned() for the std::unique_ptr. HWY_ASSERT(&(ptr[0]) + 1 == &(ptr[1])); size_t ret = 0; for (size_t i = 0; i < kSize; i++) { // Performs a computation using ptr[] to prevent it being optimized away. ptr[i] = static_cast(i); if (i) ret += static_cast(ptr[i]) * ptr[i - 1]; } HWY_ASSERT(ret != size_t{0}); } TEST(AlignedAllocatorTest, TestMakeUniqueAlignedArrayWithCustomAlloc) { FakeAllocator fake_alloc; int counter = 0; { // Creates the array of objects and initializes them with the explicit // constructor. auto arr = MakeUniqueAlignedArrayWithAlloc>( 7, FakeAllocator::StaticAlloc, FakeAllocator::StaticFree, &fake_alloc, &counter); HWY_ASSERT(arr.get() != nullptr); // An array should still only call a single allocation. HWY_ASSERT_EQ(1u, fake_alloc.PendingAllocs()); HWY_ASSERT_EQ(7, counter); for (size_t i = 0; i < 7; i++) { // Custom constructor sets the data_[0] to 'b'. HWY_ASSERT_EQ('b', arr[i].data_[0]); } } HWY_ASSERT_EQ(0, counter); HWY_ASSERT_EQ(0u, fake_alloc.PendingAllocs()); } TEST(AlignedAllocatorTest, TestDefaultInit) { // The test is whether this compiles. Default-init is useful for output params // and per-thread storage. std::vector> ptrs; std::vector> free_ptrs; ptrs.resize(128); free_ptrs.resize(128); // The following is to prevent elision of the pointers. std::mt19937 rng(129); // Emscripten lacks random_device. std::uniform_int_distribution dist(0, 127); ptrs[dist(rng)] = MakeUniqueAlignedArray(123); free_ptrs[dist(rng)] = AllocateAligned(456); // "Use" pointer without resorting to printf. 0 == 0. Can't shift by 64. const auto addr1 = reinterpret_cast(ptrs[dist(rng)].get()); const auto addr2 = reinterpret_cast(free_ptrs[dist(rng)].get()); constexpr size_t kBits = sizeof(uintptr_t) * 8; HWY_ASSERT_EQ((addr1 >> (kBits - 1)) >> (kBits - 1), (addr2 >> (kBits - 1)) >> (kBits - 1)); } using std::array; using std::vector; template void CheckEqual(const T& t1, const T& t2) { HWY_ASSERT_EQ(t1.size(), t2.size()); for (size_t i = 0; i < t1.size(); i++) { HWY_ASSERT_EQ(t1[i], t2[i]); } } template void CheckEqual(const AlignedNDArray& a, const vector& v) { const array want_shape({v.size()}); const array got_shape = a.shape(); CheckEqual(got_shape, want_shape); Span a_span = a[{}]; HWY_ASSERT_EQ(a_span.size(), v.size()); for (size_t i = 0; i < a_span.size(); i++) { HWY_ASSERT_EQ(a_span[i], v[i]); HWY_ASSERT_EQ(*(a_span.data() + i), v[i]); } } template void CheckEqual(const AlignedNDArray& a, const vector>& v) { const array want_shape({v.size(), v[1].size()}); for (const vector& row : v) { HWY_ASSERT_EQ(row.size(), want_shape[1]); } const std::array got_shape = a.shape(); CheckEqual(got_shape, want_shape); HWY_ASSERT_EQ(a.size(), want_shape[0] * want_shape[1]); for (size_t row_index = 0; row_index < v.size(); ++row_index) { vector want_row = v[row_index]; Span got_row = a[{row_index}]; HWY_ASSERT_EQ(got_row.size(), want_row.size()); for (size_t column_index = 0; column_index < got_row.size(); column_index++) { HWY_ASSERT_EQ(a[{row_index}][column_index], want_row[column_index]); HWY_ASSERT_EQ(got_row[column_index], want_row[column_index]); HWY_ASSERT_EQ(*(a[{row_index}].data() + column_index), want_row[column_index]); } } } TEST(AlignedAllocatorTest, TestAlignedNDArray) { AlignedNDArray a1({4}); CheckEqual(a1, {0, 0, 0, 0}); a1[{}][2] = 3.4f; CheckEqual(a1, {0, 0, 3.4f, 0}); AlignedNDArray a2({2, 3}); CheckEqual(a2, {{0, 0, 0}, {0, 0, 0}}); a2[{1}][1] = 5.1f; CheckEqual(a2, {{0, 0, 0}, {0, 5.1f, 0}}); float f0[] = {1.0f, 2.0f, 3.0f}; float f1[] = {4.0f, 5.0f, 6.0f}; hwy::CopyBytes(f0, a2[{0}].data(), 3 * sizeof(float)); hwy::CopyBytes(f1, a2[{1}].data(), 3 * sizeof(float)); CheckEqual(a2, {{1.0f, 2.0f, 3.0f}, {4.0f, 5.0f, 6.0f}}); } // Tests that each innermost row in an AlignedNDArray is aligned to the max // bytes available for SIMD operations on this architecture. TEST(AlignedAllocatorTest, TestAlignedNDArrayAlignment) { AlignedNDArray a({3, 3, 3, 3}); for (size_t d0 = 0; d0 < a.shape()[0]; d0++) { for (size_t d1 = 0; d1 < a.shape()[1]; d1++) { for (size_t d2 = 0; d2 < a.shape()[2]; d2++) { // Check that the address this innermost array starts at is an even // number of VectorBytes(), which is the max bytes available for SIMD // operations. HWY_ASSERT_EQ( reinterpret_cast(a[{d0, d1, d2}].data()) % VectorBytes(), 0); } } } } TEST(AlignedAllocatorTest, TestSpanCopyAssignment) { AlignedNDArray a({2, 2}); CheckEqual(a, {{0.0f, 0.0f}, {0.0f, 0.0f}}); a[{0}] = {1.0f, 2.0f}; a[{1}] = {3.0f, 4.0f}; CheckEqual(a, {{1.0f, 2.0f}, {3.0f, 4.0f}}); } TEST(AlignedAllocatorTest, TestAlignedNDArrayTruncate) { AlignedNDArray a({8, 8, 8, 8}); const size_t last_axis_memory_shape = a.memory_shape()[3]; const auto compute_value = [&](const std::array& index) { return index[0] * 8 * 8 * 8 + index[1] * 8 * 8 + index[2] * 8 * 8 + index[3]; }; for (size_t axis0 = 0; axis0 < a.shape()[0]; ++axis0) { for (size_t axis1 = 0; axis1 < a.shape()[1]; ++axis1) { for (size_t axis2 = 0; axis2 < a.shape()[2]; ++axis2) { for (size_t axis3 = 0; axis3 < a.shape()[3]; ++axis3) { a[{axis0, axis1, axis2}][axis3] = compute_value({axis0, axis1, axis2, axis3}); } } } } const auto verify_values = [&](const AlignedNDArray& array) { for (size_t axis0 = 0; axis0 < array.shape()[0]; ++axis0) { for (size_t axis1 = 0; axis1 < array.shape()[1]; ++axis1) { for (size_t axis2 = 0; axis2 < array.shape()[2]; ++axis2) { for (size_t axis3 = 0; axis3 < array.shape()[3]; ++axis3) { HWY_ASSERT_EQ((array[{axis0, axis1, axis2}][axis3]), (compute_value({axis0, axis1, axis2, axis3}))); } } } } }; a.truncate({7, 7, 7, 7}); HWY_ASSERT_EQ(a.shape()[0], 7); HWY_ASSERT_EQ(a.shape()[1], 7); HWY_ASSERT_EQ(a.shape()[2], 7); HWY_ASSERT_EQ(a.shape()[3], 7); HWY_ASSERT_EQ(a.memory_shape()[0], 8); HWY_ASSERT_EQ(a.memory_shape()[1], 8); HWY_ASSERT_EQ(a.memory_shape()[2], 8); HWY_ASSERT_EQ(a.memory_shape()[3], last_axis_memory_shape); verify_values(a); a.truncate({6, 5, 4, 3}); HWY_ASSERT_EQ(a.shape()[0], 6); HWY_ASSERT_EQ(a.shape()[1], 5); HWY_ASSERT_EQ(a.shape()[2], 4); HWY_ASSERT_EQ(a.shape()[3], 3); HWY_ASSERT_EQ(a.memory_shape()[0], 8); HWY_ASSERT_EQ(a.memory_shape()[1], 8); HWY_ASSERT_EQ(a.memory_shape()[2], 8); HWY_ASSERT_EQ(a.memory_shape()[3], last_axis_memory_shape); verify_values(a); } TEST(AlignedAllocatorTest, TestAlignedVector) { AlignedVector vec{0, 1, 2, 3, 4}; HWY_ASSERT_EQ(5, vec.size()); HWY_ASSERT_EQ(0, vec[0]); HWY_ASSERT_EQ(2, vec.at(2)); HWY_ASSERT_EQ(0, vec.front()); HWY_ASSERT_EQ(4, vec.back()); vec.pop_back(); HWY_ASSERT_EQ(3, vec.back()); HWY_ASSERT_EQ(4, vec.size()); vec.push_back(4); vec.push_back(5); HWY_ASSERT_EQ(5, vec.back()); HWY_ASSERT_EQ(6, vec.size()); const size_t initialCapacity = vec.capacity(); // Add elements to exceed initial capacity for (auto i = vec.size(); i < initialCapacity + 10; ++i) { vec.push_back(static_cast(i)); } // Check if the capacity increased and elements are intact HWY_ASSERT(vec.capacity() > initialCapacity); for (size_t i = 0; i < vec.size(); ++i) { HWY_ASSERT_EQ(i, vec[i]); } vec.clear(); HWY_ASSERT(vec.empty()); } } // namespace } // namespace hwy HWY_TEST_MAIN(); highway-1.3.0/hwy/auto_tune.h000066400000000000000000000460241504730760100161470ustar00rootroot00000000000000// Copyright 2025 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #ifndef HIGHWAY_HWY_AUTO_TUNE_H_ #define HIGHWAY_HWY_AUTO_TUNE_H_ #include #include #include // memmove #include #include #include "hwy/aligned_allocator.h" // Span #include "hwy/base.h" // HWY_MIN #include "hwy/contrib/sort/vqsort.h" // Infrastructure for auto-tuning (choosing optimal parameters at runtime). namespace hwy { // O(1) storage to estimate the central tendency of hundreds of independent // distributions (one per configuration). The number of samples per distribution // (`kMinSamples`) varies from few to dozens. We support both by first storing // values in a buffer, and when full, switching to online variance estimation. // Modified from `hwy/stats.h`. class CostDistribution { public: static constexpr size_t kMaxValues = 14; // for total size of 128 bytes void Notify(const double x) { if (HWY_UNLIKELY(x < 0.0)) { HWY_WARN("Ignoring negative cost %f.", x); return; } // Online phase after filling and warm-up. if (HWY_LIKELY(IsOnline())) return OnlineNotify(x); // Fill phase: store up to `kMaxValues` values. values_[num_values_++] = x; HWY_DASSERT(num_values_ <= kMaxValues); if (HWY_UNLIKELY(num_values_ == kMaxValues)) { WarmUpOnline(); HWY_DASSERT(IsOnline()); } } // Returns an estimate of the true cost, mitigating the impact of noise. // // Background and observations from time measurements in `thread_pool.h`: // - We aim for O(1) storage because there may be hundreds of instances. // - The mean is biased upwards by mostly additive noise: particularly // interruptions such as context switches, but also contention. // - The minimum is not a robust estimator because there are also "lucky // shots" (1.2-1.6x lower values) where interruptions or contention happen // to be low. // - We want to preserve information about contention and a configuration's // sensitivity to it. Otherwise, we are optimizing for the best-case, not // the common case. // - It is still important to minimize the influence of outliers, such as page // faults, which can cause multiple times larger measurements. // - Detecting outliers based only on the initial variance is too brittle. If // the sample is narrow, measurements will fluctuate across runs because // too many measurements are considered outliers. This would cause the // 'best' configuration to vary. // // Approach: // - Use Winsorization to reduce the impact of outliers, while preserving // information on the central tendency. // - Continually update the thresholds based on the online variance, with // exponential smoothing for stability. // - Trim the initial sample via MAD or skewness for a robust estimate of the // variance. double EstimateCost() { if (!IsOnline()) { WarmUpOnline(); HWY_DASSERT(IsOnline()); } return Mean(); } // Multiplex online state into values_ to allow higher `kMaxValues`. // Public for inspection in tests. Do not use directly. double& M1() { return values_[0]; } // Moments for variance. double& M2() { return values_[1]; } double& Mean() { return values_[2]; } // Exponential smoothing. double& Stddev() { return values_[3]; } double& Lower() { return values_[4]; } double& Upper() { return values_[5]; } private: static double Median(double* to_sort, size_t n) { HWY_DASSERT(n >= 2); // F64 is supported everywhere except Armv7. #if !HWY_ARCH_ARM_V7 VQSort(to_sort, n, SortAscending()); #else // Values are known to be finite and non-negative, hence sorting as U64 is // equivalent. VQSort(reinterpret_cast(to_sort), n, SortAscending()); #endif if (n & 1) return to_sort[n / 2]; // Even length: average of two middle elements. return (to_sort[n / 2] + to_sort[n / 2 - 1]) * 0.5; } static double MAD(const double* values, size_t n, const double median) { double abs_dev[kMaxValues]; for (size_t i = 0; i < n; ++i) { abs_dev[i] = ScalarAbs(values[i] - median); } return Median(abs_dev, n); } // If `num_values_` is large enough, sorts and discards outliers: either via // MAD, or if too many values are equal, by trimming according to skewness. void RemoveOutliers() { if (num_values_ < 3) return; // Not enough to discard two. HWY_DASSERT(num_values_ <= kMaxValues); // Given the noise level in `auto_tune_test`, it can happen that 1/4 of the // sample is an outlier *in either direction*. Use median absolute // deviation, which is robust to almost half of the sample being outliers. const double median = Median(values_, num_values_); // sorts in-place. const double mad = MAD(values_, num_values_, median); // At least half the sample is equal. if (mad == 0.0) { // Estimate skewness to decide which side to trim more. const double skewness = (values_[num_values_ - 1] - median) - (median - values_[0]); const size_t trim = HWY_MAX(num_values_ / 2, size_t{2}); const size_t left = HWY_MAX(skewness < 0.0 ? trim * 3 / 4 : trim / 4, size_t{1}); num_values_ -= trim; HWY_DASSERT(num_values_ >= 1); memmove(values_, values_ + left, num_values_ * sizeof(values_[0])); return; } const double upper = median + 5.0 * mad; const double lower = median - 5.0 * mad; size_t right = num_values_ - 1; while (values_[right] > upper) --right; // Nonzero MAD implies no more than half are equal, so we did not advance // beyond the median. HWY_DASSERT(right >= num_values_ / 2); size_t left = 0; while (left < right && values_[left] < lower) ++left; HWY_DASSERT(left <= num_values_ / 2); num_values_ = right - left + 1; memmove(values_, values_ + left, num_values_ * sizeof(values_[0])); } double SampleMean() const { // Only called in non-online phase, but buffer might not be full. HWY_DASSERT(!IsOnline() && 0 != num_values_ && num_values_ <= kMaxValues); double sum = 0.0; for (size_t i = 0; i < num_values_; ++i) { sum += values_[i]; } return sum / static_cast(num_values_); } // Unbiased estimator for population variance even for small `num_values_`. double SampleVariance(double sample_mean) const { HWY_DASSERT(sample_mean >= 0.0); // we checked costs are non-negative. // Only called in non-online phase, but buffer might not be full. HWY_DASSERT(!IsOnline() && 0 != num_values_ && num_values_ <= kMaxValues); if (HWY_UNLIKELY(num_values_ == 1)) return 0.0; // prevent divide-by-zero. double sum2 = 0.0; for (size_t i = 0; i < num_values_; ++i) { const double d = values_[i] - sample_mean; sum2 += d * d; } return sum2 / static_cast(num_values_ - 1); } bool IsOnline() const { return online_n_ > 0.0; } void OnlineNotify(double x) { // Winsorize. x = HWY_MIN(HWY_MAX(Lower(), x), Upper()); // Welford's online variance estimator. // https://media.thinkbrg.com/wp-content/uploads/2020/06/19094655/720_720_McCrary_ImplementingAlgorithms_Whitepaper_20151119_WEB.pdf#page=7.09 const double n_minus_1 = online_n_; online_n_ += 1.0; const double d = x - M1(); const double d_div_n = d / online_n_; M1() += d_div_n; HWY_DASSERT(M1() >= Lower()); M2() += d * n_minus_1 * d_div_n; // d^2 * (N-1)/N // HWY_MAX avoids divide-by-zero. const double stddev = std::sqrt(M2() / HWY_MAX(1.0, n_minus_1)); // Exponential smoothing. constexpr double kNew = 0.2; // relatively fast update constexpr double kOld = 1.0 - kNew; Mean() = M1() * kNew + Mean() * kOld; Stddev() = stddev * kNew + Stddev() * kOld; // Update thresholds from smoothed mean and stddev to enable recovering from // a too narrow initial range due to excessive trimming. Lower() = Mean() - 3.5 * Stddev(); Upper() = Mean() + 3.5 * Stddev(); } void WarmUpOnline() { RemoveOutliers(); // Compute and copy before writing to `M1`, which overwrites `values_`! const double sample_mean = SampleMean(); const double sample_variance = SampleVariance(sample_mean); double copy[kMaxValues]; hwy::CopyBytes(values_, copy, num_values_ * sizeof(values_[0])); M1() = M2() = 0.0; Mean() = sample_mean; Stddev() = std::sqrt(sample_variance); // For single-value or all-equal sample, widen the range, else we will only // accept the same value. if (Stddev() == 0.0) Stddev() = Mean() / 2; // High tolerance because the distribution is not actually Gaussian, and // we trimmed up to *half*, and do not want to reject too many values in // the online phase. Lower() = Mean() - 4.0 * Stddev(); Upper() = Mean() + 4.0 * Stddev(); // Feed copied values into online estimator. for (size_t i = 0; i < num_values_; ++i) { OnlineNotify(copy[i]); } HWY_DASSERT(IsOnline()); #if SIZE_MAX == 0xFFFFFFFFu (void)padding_; #endif } size_t num_values_ = 0; // size of `values_` <= `kMaxValues` #if SIZE_MAX == 0xFFFFFFFFu uint32_t padding_ = 0; #endif double online_n_ = 0.0; // number of calls to `OnlineNotify`. double values_[kMaxValues]; }; static_assert(sizeof(CostDistribution) == 128, ""); // Implements a counter with wrap-around, plus the ability to skip values. // O(1) time, O(N) space via doubly-linked list of indices. class NextWithSkip { public: NextWithSkip() {} explicit NextWithSkip(size_t num) { links_.reserve(num); for (size_t i = 0; i < num; ++i) { links_.emplace_back(i, num); } } size_t Next(size_t pos) { HWY_DASSERT(pos < links_.size()); HWY_DASSERT(!links_[pos].IsRemoved()); return links_[pos].Next(); } // Must not be called for an already skipped position. Ignores an attempt to // skip the last remaining position. void Skip(size_t pos) { HWY_DASSERT(!links_[pos].IsRemoved()); // not already skipped. const size_t prev = links_[pos].Prev(); const size_t next = links_[pos].Next(); if (prev == pos || next == pos) return; // last remaining position. links_[next].SetPrev(prev); links_[prev].SetNext(next); links_[pos].Remove(); } private: // Combine prev/next into one array to improve locality/reduce allocations. class Link { // Bit-shifts avoid potentially expensive 16-bit loads. Store `next` at the // top and `prev` at the bottom for extraction with a single shift/AND. // There may be hundreds of configurations, so 8 bits are not enough. static constexpr size_t kBits = 14; static constexpr size_t kShift = 32 - kBits; static constexpr uint32_t kMaxNum = 1u << kBits; public: Link(size_t pos, size_t num) { HWY_DASSERT(num < kMaxNum); const size_t prev = pos == 0 ? num - 1 : pos - 1; const size_t next = pos == num - 1 ? 0 : pos + 1; bits_ = (static_cast(next) << kShift) | static_cast(prev); HWY_DASSERT(Next() == next && Prev() == prev); HWY_DASSERT(!IsRemoved()); } bool IsRemoved() const { return (bits_ & kMaxNum) != 0; } void Remove() { bits_ |= kMaxNum; } size_t Next() const { return bits_ >> kShift; } size_t Prev() const { return bits_ & (kMaxNum - 1); } void SetNext(size_t next) { HWY_DASSERT(next < kMaxNum); bits_ &= (~0u >> kBits); // clear old next bits_ |= static_cast(next) << kShift; HWY_DASSERT(Next() == next); HWY_DASSERT(!IsRemoved()); } void SetPrev(size_t prev) { HWY_DASSERT(prev < kMaxNum); bits_ &= ~(kMaxNum - 1); // clear old prev bits_ |= static_cast(prev); HWY_DASSERT(Prev() == prev); HWY_DASSERT(!IsRemoved()); } private: uint32_t bits_; }; std::vector links_; }; // State machine for choosing at runtime the lowest-cost `Config`, which is // typically a struct containing multiple parameters. For an introduction, see // "Auto-Tuning and Performance Portability on Heterogeneous Hardware". // // **Which parameters** // Note that simple parameters such as the L2 cache size can be directly queried // via `hwy/contrib/thread_pool/topology.h`. Difficult to predict parameters // such as task granularity are more appropriate for auto-tuning. We also // suggest that at least some parameters should also be 'algorithm variants' // such as parallel vs. serial, or 2D tiling vs. 1D striping. // // **Search strategy** // To guarantee the optimal result, we use exhaustive search, which is suitable // for around 10 parameters and a few hundred combinations of 'candidate' // configurations. // // **How to generate candidates** // To keep this framework simple and generic, applications enumerate the search // space and pass the list of all feasible candidates to `SetCandidates` before // the first call to `NextConfig`. Applications should prune the space as much // as possible, e.g. by upper-bounding parameters based on the known cache // sizes, and applying constraints such as one being a multiple of another. // // **Usage** // Applications typically conditionally branch to the code implementing the // configuration returned by `NextConfig`. They measure the cost of running it // and pass that to `NotifyCost`. Branching avoids the complexity and // opaqueness of a JIT. The number of branches can be reduced (at the cost of // code size) by inlining low-level decisions into larger code regions, e.g. by // hoisting them outside hot loops. // // **What is cost** // Cost is an arbitrary `uint64_t`, with lower values being better. Most // applications will use the elapsed time. If the tasks being tuned are short, // it is important to use a high-resolution timer such as `hwy/timer.h`. Energy // may also be useful [https://www.osti.gov/servlets/purl/1361296]. // // **Online vs. offline** // Although applications can auto-tune once, offline, it may be difficult to // ensure the stored configuration still applies to the current circumstances. // Thus we recommend online auto-tuning, re-discovering the configuration on // each run. We assume the overhead of bookkeeping and measuring cost is // negligible relative to the actual work. The cost of auto-tuning is then that // of running sub-optimal configurations. Assuming the best configuration is // better than baseline, and the work is performed many thousands of times, the // cost is outweighed by the benefits. // // **kMinSamples** // To further reduce overhead, after `kMinSamples` rounds (= measurements of // each configuration) we start excluding configurations from further // measurements if they are sufficiently worse than the current best. // `kMinSamples` can be several dozen when the tasks being tuned take a few // microseconds. Even for longer tasks, it should be at least 2 for some noise // tolerance. After this, there are another `kMinSamples / 2 + 1` rounds before // declaring the winner. template class AutoTune { public: // Returns non-null best configuration if auto-tuning has already finished. // Otherwise, callers continue calling `NextConfig` and `NotifyCost`. // Points into `Candidates()`. const Config* Best() const { return best_; } // If false, caller must call `SetCandidates` before `NextConfig`. bool HasCandidates() const { HWY_DASSERT(!Best()); return !candidates_.empty(); } // WARNING: invalidates `Best()`, do not call if that is non-null. void SetCandidates(std::vector candidates) { HWY_DASSERT(!Best() && !HasCandidates()); candidates_.swap(candidates); HWY_DASSERT(HasCandidates()); costs_.resize(candidates_.size()); list_ = NextWithSkip(candidates_.size()); } // Typically called after Best() is non-null to compare all candidates' costs. Span Candidates() const { HWY_DASSERT(HasCandidates()); return Span(candidates_.data(), candidates_.size()); } Span Costs() { return Span(costs_.data(), costs_.size()); } // Returns the current `Config` to measure. const Config& NextConfig() const { HWY_DASSERT(!Best() && HasCandidates()); return candidates_[config_idx_]; } // O(1) except at the end of each round, which is O(N). void NotifyCost(uint64_t cost) { HWY_DASSERT(!Best() && HasCandidates()); costs_[config_idx_].Notify(static_cast(cost)); // Save now before we update `config_idx_`. const size_t my_idx = config_idx_; // Only retrieve once we have enough samples, otherwise, we switch to // online variance before the buffer is populated. const double my_cost = rounds_complete_ >= kMinSamples ? costs_[config_idx_].EstimateCost() : 0.0; // Advance to next non-skipped config with wrap-around. This decorrelates // measurements by not immediately re-measuring the same config. config_idx_ = list_.Next(config_idx_); // Might still equal `my_idx` if this is the only non-skipped config. // Disqualify from future `NextConfig` if cost was too far beyond the // current best. This reduces the number of measurements, while tolerating // noise in the first few measurements. Must happen after advancing. if (my_cost > skip_if_above_) { list_.Skip(my_idx); } // Wrap-around indicates the round is complete. if (HWY_UNLIKELY(config_idx_ <= my_idx)) { ++rounds_complete_; // Enough samples for stable estimates: update the thresholds. if (rounds_complete_ >= kMinSamples) { double best_cost = HighestValue(); size_t idx_min = 0; for (size_t i = 0; i < candidates_.size(); ++i) { const double estimate = costs_[i].EstimateCost(); if (estimate < best_cost) { best_cost = estimate; idx_min = i; } } skip_if_above_ = best_cost * 1.25; // After sufficient rounds, declare the winner. if (HWY_UNLIKELY(rounds_complete_ == 3 * kMinSamples / 2 + 1)) { best_ = &candidates_[idx_min]; HWY_DASSERT(Best()); } } } } // Avoid printing during the first few rounds, because those might be noisy // and not yet skipped. bool ShouldPrint() { return rounds_complete_ > kMinSamples; } private: const Config* best_ = nullptr; std::vector candidates_; std::vector costs_; // one per candidate size_t config_idx_ = 0; // [0, candidates_.size()) NextWithSkip list_; size_t rounds_complete_ = 0; double skip_if_above_ = 0.0; }; } // namespace hwy #endif // HIGHWAY_HWY_AUTO_TUNE_H_ highway-1.3.0/hwy/auto_tune_test.cc000066400000000000000000000076521504730760100173500ustar00rootroot00000000000000// Copyright 2025 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include "hwy/auto_tune.h" #include #include #include #include #include #include "hwy/base.h" // HWY_ASSERT #include "hwy/nanobenchmark.h" // Unpredictable1 #include "hwy/tests/hwy_gtest.h" #include "hwy/tests/test_util-inl.h" namespace hwy { namespace { // Returns random floating-point number in [-8, 8). static double Random(RandomState& rng) { const int32_t bits = static_cast(Random32(&rng)) & 1023; return (bits - 512) / 64.0; } TEST(AutoTuneTest, TestCostDistribution) { // All equal exercises the MAD=0 trimming case. const size_t kMaxValues = CostDistribution::kMaxValues; for (size_t num : {size_t{3}, kMaxValues - 1, kMaxValues, kMaxValues + 1}) { const double kVal = 6.5; for (double outlier : {0.0, 1000.0}) { CostDistribution cd; const size_t num_outliers = HWY_MAX(num / 4, size_t{1}); for (size_t i = 0; i < num - num_outliers; ++i) cd.Notify(kVal); for (size_t i = 0; i < num_outliers; ++i) cd.Notify(outlier); const double cost = cd.EstimateCost(); // Winsorization allows outliers to shift the central tendency a bit. HWY_ASSERT(cost >= kVal - 0.25); HWY_ASSERT(cost <= kVal + 0.25); } } // Gaussian distribution with additive+multiplicative noise. RandomState rng; for (size_t rep = 0; rep < AdjustedReps(1000); ++rep) { CostDistribution cd; const size_t num = 1000; // enough for stable variance for (size_t i = 0; i < num; ++i) { // Central limit theorem: sum of independent random is Gaussian. double sum = 500.0; for (size_t sum_idx = 0; sum_idx < 100; ++sum_idx) sum += Random(rng); // 16% noise: mostly additive, some lucky shots. const uint32_t r = Random32(&rng); if (r < (1u << 28)) { static constexpr double kPowers[4] = {0.0, 1E3, 1E4, 1E5}; static constexpr double kMul[4] = {0.50, 0.75, 0.85, 0.90}; if (r & 3) { // 75% chance of large additive noise sum += kPowers[r & 3]; } else { // 25% chance of small multiplicative reduction sum *= kMul[(r >> 2) & 3]; } } cd.Notify(sum); } const double cost = cd.EstimateCost(); if (!(490.0 <= cost && cost <= 540.0)) { HWY_ABORT("Cost %f outside expected range.", cost); } } } TEST(AutoTuneTest, TestNextEdges) { NextWithSkip list(123); HWY_ASSERT_EQ(0, list.Next(122)); // Check wrap-around HWY_ASSERT_EQ(1, list.Next(0)); list.Skip(1); HWY_ASSERT_EQ(2, list.Next(0)); list.Skip(2); HWY_ASSERT_EQ(3, list.Next(0)); // Skip last list.Skip(122); HWY_ASSERT_EQ(0, list.Next(121)); // Skip first list.Skip(0); HWY_ASSERT_EQ(3, list.Next(121)); } TEST(AutoTuneTest, TestNextSkipAllButOne) { // Prime, pow2 +/- 1 for (size_t num : {size_t{37}, size_t{63}, size_t{513}}) { NextWithSkip list(num); std::vector pos; pos.reserve(num); for (size_t i = 0; i < num; ++i) { pos.push_back(static_cast(i)); } std::mt19937 rng(static_cast(129 * Unpredictable1())); std::shuffle(pos.begin(), pos.end(), rng); for (size_t i = 0; i < num - 1; ++i) { list.Skip(pos[i]); } HWY_ASSERT_EQ(pos.back(), list.Next(pos.back())); // only one left } } } // namespace } // namespace hwy HWY_TEST_MAIN(); highway-1.3.0/hwy/base.h000066400000000000000000003323121504730760100150540ustar00rootroot00000000000000// Copyright 2020 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #ifndef HIGHWAY_HWY_BASE_H_ #define HIGHWAY_HWY_BASE_H_ // Target-independent definitions. // IWYU pragma: begin_exports #include #include #if defined(HWY_HEADER_ONLY) #include #include #endif #if !defined(HWY_NO_LIBCXX) #include #endif #include "hwy/detect_compiler_arch.h" #include "hwy/highway_export.h" // API version (https://semver.org/); keep in sync with CMakeLists.txt. #define HWY_MAJOR 1 #define HWY_MINOR 3 #define HWY_PATCH 0 // True if the Highway version >= major.minor.0. Added in 1.2.0. #define HWY_VERSION_GE(major, minor) \ (HWY_MAJOR > (major) || (HWY_MAJOR == (major) && HWY_MINOR >= (minor))) // True if the Highway version < major.minor.0. Added in 1.2.0. #define HWY_VERSION_LT(major, minor) \ (HWY_MAJOR < (major) || (HWY_MAJOR == (major) && HWY_MINOR < (minor))) // "IWYU pragma: keep" does not work for these includes, so hide from the IDE. #if !HWY_IDE #if !defined(HWY_NO_LIBCXX) #ifndef __STDC_FORMAT_MACROS #define __STDC_FORMAT_MACROS // before inttypes.h #endif #include #endif #endif // !HWY_IDE #if (HWY_ARCH_X86 && !defined(HWY_NO_LIBCXX)) || HWY_COMPILER_MSVC #include #endif #ifndef HWY_HAVE_COMPARE_HEADER // allow override #define HWY_HAVE_COMPARE_HEADER 0 #if defined(__has_include) // note: wrapper macro fails on Clang ~17 #if __has_include() #undef HWY_HAVE_COMPARE_HEADER #define HWY_HAVE_COMPARE_HEADER 1 #endif // __has_include #endif // defined(__has_include) #endif // HWY_HAVE_COMPARE_HEADER #ifndef HWY_HAVE_CXX20_THREE_WAY_COMPARE // allow override #if !defined(HWY_NO_LIBCXX) && defined(__cpp_impl_three_way_comparison) && \ __cpp_impl_three_way_comparison >= 201907L && HWY_HAVE_COMPARE_HEADER #include #define HWY_HAVE_CXX20_THREE_WAY_COMPARE 1 #else #define HWY_HAVE_CXX20_THREE_WAY_COMPARE 0 #endif #endif // HWY_HAVE_CXX20_THREE_WAY_COMPARE // IWYU pragma: end_exports #if HWY_COMPILER_MSVC #include // memcpy #endif //------------------------------------------------------------------------------ // Compiler-specific definitions #define HWY_STR_IMPL(macro) #macro #define HWY_STR(macro) HWY_STR_IMPL(macro) #if HWY_COMPILER_MSVC #include #define HWY_FUNCTION __FUNCSIG__ // function name + template args #define HWY_RESTRICT __restrict #define HWY_INLINE __forceinline #define HWY_NOINLINE __declspec(noinline) #define HWY_FLATTEN #define HWY_NORETURN __declspec(noreturn) #define HWY_LIKELY(expr) (expr) #define HWY_UNLIKELY(expr) (expr) #define HWY_UNREACHABLE __assume(false) #define HWY_PRAGMA(tokens) __pragma(tokens) #define HWY_DIAGNOSTICS(tokens) HWY_PRAGMA(warning(tokens)) #define HWY_DIAGNOSTICS_OFF(msc, gcc) HWY_DIAGNOSTICS(msc) #define HWY_MAYBE_UNUSED #define HWY_HAS_ASSUME_ALIGNED 0 #if (_MSC_VER >= 1700) #define HWY_MUST_USE_RESULT _Check_return_ #else #define HWY_MUST_USE_RESULT #endif #else #define HWY_FUNCTION __PRETTY_FUNCTION__ // function name + template args #define HWY_RESTRICT __restrict__ // force inlining without optimization enabled creates very inefficient code // that can cause compiler timeout #ifdef __OPTIMIZE__ #define HWY_INLINE inline __attribute__((always_inline)) #else #define HWY_INLINE inline #endif #define HWY_NOINLINE __attribute__((noinline)) #define HWY_FLATTEN __attribute__((flatten)) #define HWY_NORETURN __attribute__((noreturn)) #define HWY_LIKELY(expr) __builtin_expect(!!(expr), 1) #define HWY_UNLIKELY(expr) __builtin_expect(!!(expr), 0) #if HWY_COMPILER_GCC || HWY_HAS_BUILTIN(__builtin_unreachable) #define HWY_UNREACHABLE __builtin_unreachable() #else #define HWY_UNREACHABLE #endif #define HWY_PRAGMA(tokens) _Pragma(#tokens) #define HWY_DIAGNOSTICS(tokens) HWY_PRAGMA(GCC diagnostic tokens) #define HWY_DIAGNOSTICS_OFF(msc, gcc) HWY_DIAGNOSTICS(gcc) // Encountered "attribute list cannot appear here" when using the C++17 // [[maybe_unused]], so only use the old style attribute for now. #define HWY_MAYBE_UNUSED __attribute__((unused)) #define HWY_MUST_USE_RESULT __attribute__((warn_unused_result)) #endif // !HWY_COMPILER_MSVC //------------------------------------------------------------------------------ // Builtin/attributes (no more #include after this point due to namespace!) namespace hwy { // Enables error-checking of format strings. #if HWY_HAS_ATTRIBUTE(__format__) #define HWY_FORMAT(idx_fmt, idx_arg) \ __attribute__((__format__(__printf__, idx_fmt, idx_arg))) #else #define HWY_FORMAT(idx_fmt, idx_arg) #endif // Returns a void* pointer which the compiler then assumes is N-byte aligned. // Example: float* HWY_RESTRICT aligned = (float*)HWY_ASSUME_ALIGNED(in, 32); // // The assignment semantics are required by GCC/Clang. ICC provides an in-place // __assume_aligned, whereas MSVC's __assume appears unsuitable. #if HWY_HAS_BUILTIN(__builtin_assume_aligned) #define HWY_ASSUME_ALIGNED(ptr, align) __builtin_assume_aligned((ptr), (align)) #else #define HWY_ASSUME_ALIGNED(ptr, align) (ptr) /* not supported */ #endif // Returns a pointer whose type is `type` (T*), while allowing the compiler to // assume that the untyped pointer `ptr` is aligned to a multiple of sizeof(T). #define HWY_RCAST_ALIGNED(type, ptr) \ reinterpret_cast( \ HWY_ASSUME_ALIGNED((ptr), alignof(hwy::RemovePtr))) // Clang and GCC require attributes on each function into which SIMD intrinsics // are inlined. Support both per-function annotation (HWY_ATTR) for lambdas and // automatic annotation via pragmas. #if HWY_COMPILER_ICC // As of ICC 2021.{1-9} the pragma is neither implemented nor required. #define HWY_PUSH_ATTRIBUTES(targets_str) #define HWY_POP_ATTRIBUTES #elif HWY_COMPILER_CLANG #define HWY_PUSH_ATTRIBUTES(targets_str) \ HWY_PRAGMA(clang attribute push(__attribute__((target(targets_str))), \ apply_to = function)) #define HWY_POP_ATTRIBUTES HWY_PRAGMA(clang attribute pop) #elif HWY_COMPILER_GCC_ACTUAL #define HWY_PUSH_ATTRIBUTES(targets_str) \ HWY_PRAGMA(GCC push_options) HWY_PRAGMA(GCC target targets_str) #define HWY_POP_ATTRIBUTES HWY_PRAGMA(GCC pop_options) #else #define HWY_PUSH_ATTRIBUTES(targets_str) #define HWY_POP_ATTRIBUTES #endif //------------------------------------------------------------------------------ // Macros #define HWY_API static HWY_INLINE HWY_FLATTEN HWY_MAYBE_UNUSED #define HWY_CONCAT_IMPL(a, b) a##b #define HWY_CONCAT(a, b) HWY_CONCAT_IMPL(a, b) #define HWY_MIN(a, b) ((a) < (b) ? (a) : (b)) #define HWY_MAX(a, b) ((a) > (b) ? (a) : (b)) #if HWY_COMPILER_GCC_ACTUAL // nielskm: GCC does not support '#pragma GCC unroll' without the factor. #define HWY_UNROLL(factor) HWY_PRAGMA(GCC unroll factor) #define HWY_DEFAULT_UNROLL HWY_UNROLL(4) #elif HWY_COMPILER_CLANG || HWY_COMPILER_ICC || HWY_COMPILER_ICX #define HWY_UNROLL(factor) HWY_PRAGMA(unroll factor) #define HWY_DEFAULT_UNROLL HWY_UNROLL() #else #define HWY_UNROLL(factor) #define HWY_DEFAULT_UNROLL #endif // Tell a compiler that the expression always evaluates to true. // The expression should be free from any side effects. // Some older compilers may have trouble with complex expressions, therefore // it is advisable to split multiple conditions into separate assume statements, // and manually check the generated code. // OK but could fail: // HWY_ASSUME(x == 2 && y == 3); // Better: // HWY_ASSUME(x == 2); // HWY_ASSUME(y == 3); #if (HWY_CXX_LANG >= 202302L) && HWY_HAS_CPP_ATTRIBUTE(assume) #define HWY_ASSUME(expr) [[assume(expr)]] #elif HWY_COMPILER_MSVC || HWY_COMPILER_ICC #define HWY_ASSUME(expr) __assume(expr) // __builtin_assume() was added in clang 3.6. #elif HWY_COMPILER_CLANG && HWY_HAS_BUILTIN(__builtin_assume) #define HWY_ASSUME(expr) __builtin_assume(expr) // __builtin_unreachable() was added in GCC 4.5, but __has_builtin() was added // later, so check for the compiler version directly. #elif HWY_COMPILER_GCC_ACTUAL >= 405 #define HWY_ASSUME(expr) \ ((expr) ? static_cast(0) : __builtin_unreachable()) #else #define HWY_ASSUME(expr) static_cast(0) #endif // Compile-time fence to prevent undesirable code reordering. On Clang, the // typical `asm volatile("" : : : "memory")` seems to be ignored. Note that // `std::atomic_thread_fence` affects other threads, hence might generate a // barrier instruction, but this does not. #if !defined(HWY_NO_LIBCXX) #define HWY_FENCE std::atomic_signal_fence(std::memory_order_seq_cst) #elif HWY_COMPILER_GCC #define HWY_FENCE asm volatile("" : : : "memory") #else #define HWY_FENCE #endif // 4 instances of a given literal value, useful as input to LoadDup128. #define HWY_REP4(literal) literal, literal, literal, literal //------------------------------------------------------------------------------ // Abort / Warn #if defined(HWY_HEADER_ONLY) HWY_DLLEXPORT inline void HWY_FORMAT(3, 4) Warn(const char* file, int line, const char* format, ...) { char buf[800]; va_list args; va_start(args, format); vsnprintf(buf, sizeof(buf), format, args); va_end(args); fprintf(stderr, "Warn at %s:%d: %s\n", file, line, buf); } HWY_DLLEXPORT HWY_NORETURN inline void HWY_FORMAT(3, 4) Abort(const char* file, int line, const char* format, ...) { char buf[800]; va_list args; va_start(args, format); vsnprintf(buf, sizeof(buf), format, args); va_end(args); fprintf(stderr, "Abort at %s:%d: %s\n", file, line, buf); fflush(stderr); // Now terminate the program: #if HWY_ARCH_RISCV exit(1); // trap/abort just freeze Spike. #else abort(); // Compile error without this due to HWY_NORETURN. #endif } #else // !HWY_HEADER_ONLY // Interfaces for custom Warn/Abort handlers. typedef void (*WarnFunc)(const char* file, int line, const char* message); typedef void (*AbortFunc)(const char* file, int line, const char* message); // Returns current Warn() handler, or nullptr if no handler was yet registered, // indicating Highway should print to stderr. // DEPRECATED because this is thread-hostile and prone to misuse (modifying the // underlying pointer through the reference). HWY_DLLEXPORT WarnFunc& GetWarnFunc(); // Returns current Abort() handler, or nullptr if no handler was yet registered, // indicating Highway should print to stderr and abort. // DEPRECATED because this is thread-hostile and prone to misuse (modifying the // underlying pointer through the reference). HWY_DLLEXPORT AbortFunc& GetAbortFunc(); // Sets a new Warn() handler and returns the previous handler, which is nullptr // if no previous handler was registered, and should otherwise be called from // the new handler. Thread-safe. HWY_DLLEXPORT WarnFunc SetWarnFunc(WarnFunc func); // Sets a new Abort() handler and returns the previous handler, which is nullptr // if no previous handler was registered, and should otherwise be called from // the new handler. If all handlers return, then Highway will terminate the app. // Thread-safe. HWY_DLLEXPORT AbortFunc SetAbortFunc(AbortFunc func); HWY_DLLEXPORT void HWY_FORMAT(3, 4) Warn(const char* file, int line, const char* format, ...); HWY_DLLEXPORT HWY_NORETURN void HWY_FORMAT(3, 4) Abort(const char* file, int line, const char* format, ...); #endif // HWY_HEADER_ONLY #define HWY_WARN(format, ...) \ ::hwy::Warn(__FILE__, __LINE__, format, ##__VA_ARGS__) #define HWY_ABORT(format, ...) \ ::hwy::Abort(__FILE__, __LINE__, format, ##__VA_ARGS__) // Always enabled. #define HWY_ASSERT_M(condition, msg) \ do { \ if (!(condition)) { \ HWY_ABORT("Assert %s: %s", #condition, msg); \ } \ } while (0) #define HWY_ASSERT(condition) HWY_ASSERT_M(condition, "") #if HWY_HAS_FEATURE(memory_sanitizer) || defined(MEMORY_SANITIZER) || \ defined(__SANITIZE_MEMORY__) #define HWY_IS_MSAN 1 #else #define HWY_IS_MSAN 0 #endif #if HWY_HAS_FEATURE(address_sanitizer) || defined(ADDRESS_SANITIZER) || \ defined(__SANITIZE_ADDRESS__) #define HWY_IS_ASAN 1 #else #define HWY_IS_ASAN 0 #endif #if HWY_HAS_FEATURE(hwaddress_sanitizer) || defined(HWADDRESS_SANITIZER) || \ defined(__SANITIZE_HWADDRESS__) #define HWY_IS_HWASAN 1 #else #define HWY_IS_HWASAN 0 #endif #if HWY_HAS_FEATURE(thread_sanitizer) || defined(THREAD_SANITIZER) || \ defined(__SANITIZE_THREAD__) #define HWY_IS_TSAN 1 #else #define HWY_IS_TSAN 0 #endif #if HWY_HAS_FEATURE(undefined_behavior_sanitizer) || \ defined(UNDEFINED_BEHAVIOR_SANITIZER) #define HWY_IS_UBSAN 1 #else #define HWY_IS_UBSAN 0 #endif // MSAN may cause lengthy build times or false positives e.g. in AVX3 DemoteTo. // You can disable MSAN by adding this attribute to the function that fails. #if HWY_IS_MSAN #define HWY_ATTR_NO_MSAN __attribute__((no_sanitize_memory)) #else #define HWY_ATTR_NO_MSAN #endif #if HWY_IS_ASAN || HWY_IS_HWASAN || HWY_IS_MSAN || HWY_IS_TSAN || HWY_IS_UBSAN #define HWY_IS_SANITIZER 1 #else #define HWY_IS_SANITIZER 0 #endif // For enabling HWY_DASSERT and shortening tests in slower debug builds #if !defined(HWY_IS_DEBUG_BUILD) // Clang does not define NDEBUG, but it and GCC define __OPTIMIZE__, and recent // MSVC defines NDEBUG (if not, could instead check _DEBUG). #if (!defined(__OPTIMIZE__) && !defined(NDEBUG)) || HWY_IS_SANITIZER || \ defined(__clang_analyzer__) #define HWY_IS_DEBUG_BUILD 1 #else #define HWY_IS_DEBUG_BUILD 0 #endif #endif // HWY_IS_DEBUG_BUILD #if HWY_IS_DEBUG_BUILD #define HWY_DASSERT_M(condition, msg) HWY_ASSERT_M(condition, msg) #define HWY_DASSERT(condition) HWY_ASSERT_M(condition, "") #else #define HWY_DASSERT_M(condition, msg) \ do { \ } while (0) #define HWY_DASSERT(condition) \ do { \ } while (0) #endif //------------------------------------------------------------------------------ // CopyBytes / ZeroBytes #if HWY_COMPILER_MSVC #pragma intrinsic(memcpy) #pragma intrinsic(memset) #endif template HWY_API void CopyBytes(const From* HWY_RESTRICT from, To* HWY_RESTRICT to) { #if HWY_COMPILER_MSVC memcpy(to, from, kBytes); #else __builtin_memcpy(to, from, kBytes); #endif } HWY_API void CopyBytes(const void* HWY_RESTRICT from, void* HWY_RESTRICT to, size_t num_of_bytes_to_copy) { #if HWY_COMPILER_MSVC memcpy(to, from, num_of_bytes_to_copy); #else __builtin_memcpy(to, from, num_of_bytes_to_copy); #endif } // Same as CopyBytes, but for same-sized objects; avoids a size argument. template HWY_API void CopySameSize(const From* HWY_RESTRICT from, To* HWY_RESTRICT to) { static_assert(sizeof(From) == sizeof(To), ""); CopyBytes(from, to); } template HWY_API void ZeroBytes(To* to) { #if HWY_COMPILER_MSVC memset(to, 0, kBytes); #else __builtin_memset(to, 0, kBytes); #endif } HWY_API void ZeroBytes(void* to, size_t num_bytes) { #if HWY_COMPILER_MSVC memset(to, 0, num_bytes); #else __builtin_memset(to, 0, num_bytes); #endif } //------------------------------------------------------------------------------ // kMaxVectorSize (undocumented, pending removal) #if HWY_ARCH_X86 static constexpr HWY_MAYBE_UNUSED size_t kMaxVectorSize = 64; // AVX-512 #elif HWY_ARCH_RISCV && defined(__riscv_v_intrinsic) && \ __riscv_v_intrinsic >= 11000 // Not actually an upper bound on the size. static constexpr HWY_MAYBE_UNUSED size_t kMaxVectorSize = 4096; #else static constexpr HWY_MAYBE_UNUSED size_t kMaxVectorSize = 16; #endif //------------------------------------------------------------------------------ // Alignment // Potentially useful for LoadDup128 and capped vectors. In other cases, arrays // should be allocated dynamically via aligned_allocator.h because Lanes() may // exceed the stack size. #if HWY_ARCH_X86 #define HWY_ALIGN_MAX alignas(64) #elif HWY_ARCH_RISCV && defined(__riscv_v_intrinsic) && \ __riscv_v_intrinsic >= 11000 #define HWY_ALIGN_MAX alignas(8) // only elements need be aligned #else #define HWY_ALIGN_MAX alignas(16) #endif //------------------------------------------------------------------------------ // Lane types // hwy::float16_t and hwy::bfloat16_t are forward declared here to allow // BitCastScalar to be implemented before the implementations of the // hwy::float16_t and hwy::bfloat16_t types struct float16_t; struct bfloat16_t; using float32_t = float; using float64_t = double; #pragma pack(push, 1) // Aligned 128-bit type. Cannot use __int128 because clang doesn't yet align it: // https://reviews.llvm.org/D86310 struct alignas(16) uint128_t { uint64_t lo; // little-endian layout uint64_t hi; }; // 64 bit key plus 64 bit value. Faster than using uint128_t when only the key // field is to be compared (Lt128Upper instead of Lt128). struct alignas(16) K64V64 { uint64_t value; // little-endian layout uint64_t key; }; // 32 bit key plus 32 bit value. Allows vqsort recursions to terminate earlier // than when considering both to be a 64-bit key. struct alignas(8) K32V32 { uint32_t value; // little-endian layout uint32_t key; }; #pragma pack(pop) static inline HWY_MAYBE_UNUSED bool operator<(const uint128_t& a, const uint128_t& b) { return (a.hi == b.hi) ? a.lo < b.lo : a.hi < b.hi; } // Required for std::greater. static inline HWY_MAYBE_UNUSED bool operator>(const uint128_t& a, const uint128_t& b) { return b < a; } static inline HWY_MAYBE_UNUSED bool operator==(const uint128_t& a, const uint128_t& b) { return a.lo == b.lo && a.hi == b.hi; } #if !defined(HWY_NO_LIBCXX) static inline HWY_MAYBE_UNUSED std::ostream& operator<<(std::ostream& os, const uint128_t& n) { return os << "[hi=" << n.hi << ",lo=" << n.lo << "]"; } #endif static inline HWY_MAYBE_UNUSED bool operator<(const K64V64& a, const K64V64& b) { return a.key < b.key; } // Required for std::greater. static inline HWY_MAYBE_UNUSED bool operator>(const K64V64& a, const K64V64& b) { return b < a; } static inline HWY_MAYBE_UNUSED bool operator==(const K64V64& a, const K64V64& b) { return a.key == b.key; } #if !defined(HWY_NO_LIBCXX) static inline HWY_MAYBE_UNUSED std::ostream& operator<<(std::ostream& os, const K64V64& n) { return os << "[k=" << n.key << ",v=" << n.value << "]"; } #endif static inline HWY_MAYBE_UNUSED bool operator<(const K32V32& a, const K32V32& b) { return a.key < b.key; } // Required for std::greater. static inline HWY_MAYBE_UNUSED bool operator>(const K32V32& a, const K32V32& b) { return b < a; } static inline HWY_MAYBE_UNUSED bool operator==(const K32V32& a, const K32V32& b) { return a.key == b.key; } #if !defined(HWY_NO_LIBCXX) static inline HWY_MAYBE_UNUSED std::ostream& operator<<(std::ostream& os, const K32V32& n) { return os << "[k=" << n.key << ",v=" << n.value << "]"; } #endif //------------------------------------------------------------------------------ // Controlling overload resolution (SFINAE) template struct EnableIfT {}; template <> struct EnableIfT { using type = void; }; template using EnableIf = typename EnableIfT::type; template struct IsSameT { enum { value = 0 }; }; template struct IsSameT { enum { value = 1 }; }; template HWY_API constexpr bool IsSame() { return IsSameT::value; } // Returns whether T matches either of U1 or U2 template HWY_API constexpr bool IsSameEither() { return IsSameT::value || IsSameT::value; } template struct IfT { using type = Then; }; template struct IfT { using type = Else; }; template using If = typename IfT::type; template struct IsConstT { enum { value = 0 }; }; template struct IsConstT { enum { value = 1 }; }; template HWY_API constexpr bool IsConst() { return IsConstT::value; } template struct RemoveConstT { using type = T; }; template struct RemoveConstT { using type = T; }; template using RemoveConst = typename RemoveConstT::type; template struct RemoveVolatileT { using type = T; }; template struct RemoveVolatileT { using type = T; }; template using RemoveVolatile = typename RemoveVolatileT::type; template struct RemoveRefT { using type = T; }; template struct RemoveRefT { using type = T; }; template struct RemoveRefT { using type = T; }; template using RemoveRef = typename RemoveRefT::type; template using RemoveCvRef = RemoveConst>>; template struct RemovePtrT { using type = T; }; template struct RemovePtrT { using type = T; }; template struct RemovePtrT { using type = T; }; template struct RemovePtrT { using type = T; }; template struct RemovePtrT { using type = T; }; template using RemovePtr = typename RemovePtrT::type; // Insert into template/function arguments to enable this overload only for // vectors of exactly, at most (LE), or more than (GT) this many bytes. // // As an example, checking for a total size of 16 bytes will match both // Simd and Simd. #define HWY_IF_V_SIZE(T, kN, bytes) \ hwy::EnableIf* = nullptr #define HWY_IF_V_SIZE_LE(T, kN, bytes) \ hwy::EnableIf* = nullptr #define HWY_IF_V_SIZE_GT(T, kN, bytes) \ hwy::EnableIf<(kN * sizeof(T) > bytes)>* = nullptr #define HWY_IF_LANES(kN, lanes) hwy::EnableIf<(kN == lanes)>* = nullptr #define HWY_IF_LANES_LE(kN, lanes) hwy::EnableIf<(kN <= lanes)>* = nullptr #define HWY_IF_LANES_GT(kN, lanes) hwy::EnableIf<(kN > lanes)>* = nullptr #define HWY_IF_UNSIGNED(T) hwy::EnableIf()>* = nullptr #define HWY_IF_NOT_UNSIGNED(T) hwy::EnableIf()>* = nullptr #define HWY_IF_SIGNED(T) \ hwy::EnableIf() && !hwy::IsFloat() && \ !hwy::IsSpecialFloat()>* = nullptr #define HWY_IF_FLOAT(T) hwy::EnableIf()>* = nullptr #define HWY_IF_NOT_FLOAT(T) hwy::EnableIf()>* = nullptr #define HWY_IF_FLOAT3264(T) hwy::EnableIf()>* = nullptr #define HWY_IF_NOT_FLOAT3264(T) hwy::EnableIf()>* = nullptr #define HWY_IF_SPECIAL_FLOAT(T) \ hwy::EnableIf()>* = nullptr #define HWY_IF_NOT_SPECIAL_FLOAT(T) \ hwy::EnableIf()>* = nullptr #define HWY_IF_FLOAT_OR_SPECIAL(T) \ hwy::EnableIf() || hwy::IsSpecialFloat()>* = nullptr #define HWY_IF_NOT_FLOAT_NOR_SPECIAL(T) \ hwy::EnableIf() && !hwy::IsSpecialFloat()>* = nullptr #define HWY_IF_INTEGER(T) hwy::EnableIf()>* = nullptr #define HWY_IF_T_SIZE(T, bytes) hwy::EnableIf* = nullptr #define HWY_IF_NOT_T_SIZE(T, bytes) \ hwy::EnableIf* = nullptr // bit_array = 0x102 means 1 or 8 bytes. There is no NONE_OF because it sounds // too similar. If you want the opposite of this (2 or 4 bytes), ask for those // bits explicitly (0x14) instead of attempting to 'negate' 0x102. #define HWY_IF_T_SIZE_ONE_OF(T, bit_array) \ hwy::EnableIf<((size_t{1} << sizeof(T)) & (bit_array)) != 0>* = nullptr #define HWY_IF_T_SIZE_LE(T, bytes) \ hwy::EnableIf<(sizeof(T) <= (bytes))>* = nullptr #define HWY_IF_T_SIZE_GT(T, bytes) \ hwy::EnableIf<(sizeof(T) > (bytes))>* = nullptr #define HWY_IF_SAME(T, expected) \ hwy::EnableIf, expected>()>* = nullptr #define HWY_IF_NOT_SAME(T, expected) \ hwy::EnableIf, expected>()>* = nullptr // One of two expected types #define HWY_IF_SAME2(T, expected1, expected2) \ hwy::EnableIf< \ hwy::IsSameEither, expected1, expected2>()>* = \ nullptr #define HWY_IF_U8(T) HWY_IF_SAME(T, uint8_t) #define HWY_IF_U16(T) HWY_IF_SAME(T, uint16_t) #define HWY_IF_U32(T) HWY_IF_SAME(T, uint32_t) #define HWY_IF_U64(T) HWY_IF_SAME(T, uint64_t) #define HWY_IF_I8(T) HWY_IF_SAME(T, int8_t) #define HWY_IF_I16(T) HWY_IF_SAME(T, int16_t) #define HWY_IF_I32(T) HWY_IF_SAME(T, int32_t) #define HWY_IF_I64(T) HWY_IF_SAME(T, int64_t) #define HWY_IF_BF16(T) HWY_IF_SAME(T, hwy::bfloat16_t) #define HWY_IF_NOT_BF16(T) HWY_IF_NOT_SAME(T, hwy::bfloat16_t) #define HWY_IF_F16(T) HWY_IF_SAME(T, hwy::float16_t) #define HWY_IF_NOT_F16(T) HWY_IF_NOT_SAME(T, hwy::float16_t) #define HWY_IF_F32(T) HWY_IF_SAME(T, float) #define HWY_IF_F64(T) HWY_IF_SAME(T, double) // Use instead of HWY_IF_T_SIZE to avoid ambiguity with float16_t/float/double // overloads. #define HWY_IF_UI8(T) HWY_IF_SAME2(T, uint8_t, int8_t) #define HWY_IF_UI16(T) HWY_IF_SAME2(T, uint16_t, int16_t) #define HWY_IF_UI32(T) HWY_IF_SAME2(T, uint32_t, int32_t) #define HWY_IF_UI64(T) HWY_IF_SAME2(T, uint64_t, int64_t) #define HWY_IF_LANES_PER_BLOCK(T, N, LANES) \ hwy::EnableIf* = nullptr // Empty struct used as a size tag type. template struct SizeTag {}; template class DeclValT { private: template static URef TryAddRValRef(int); template static U TryAddRValRef(Arg); public: using type = decltype(TryAddRValRef(0)); enum { kDisableDeclValEvaluation = 1 }; }; // hwy::DeclVal() can only be used in unevaluated contexts such as within an // expression of a decltype specifier. // hwy::DeclVal() does not require that T have a public default constructor template HWY_API typename DeclValT::type DeclVal() noexcept { static_assert(!DeclValT::kDisableDeclValEvaluation, "DeclVal() cannot be used in an evaluated context"); } template struct IsArrayT { enum { value = 0 }; }; template struct IsArrayT { enum { value = 1 }; }; template struct IsArrayT { enum { value = 1 }; }; template static constexpr bool IsArray() { return IsArrayT::value; } #if HWY_COMPILER_MSVC HWY_DIAGNOSTICS(push) HWY_DIAGNOSTICS_OFF(disable : 4180, ignored "-Wignored-qualifiers") #endif template class IsConvertibleT { private: template static hwy::SizeTag<1> TestFuncWithToArg(T); template static decltype(IsConvertibleT::template TestFuncWithToArg( DeclVal())) TryConvTest(int); template static hwy::SizeTag<0> TryConvTest(Arg); public: enum { value = (IsSame>, void>() && IsSame>, void>()) || (!IsArray() && (IsSame())>() || !IsSame, RemoveConst>()) && IsSame(0)), hwy::SizeTag<1>>()) }; }; #if HWY_COMPILER_MSVC HWY_DIAGNOSTICS(pop) #endif template HWY_API constexpr bool IsConvertible() { return IsConvertibleT::value; } template class IsStaticCastableT { private: template (DeclVal()))> static hwy::SizeTag<1> TryStaticCastTest(int); template static hwy::SizeTag<0> TryStaticCastTest(Arg); public: enum { value = IsSame(0)), hwy::SizeTag<1>>() }; }; template static constexpr bool IsStaticCastable() { return IsStaticCastableT::value; } #define HWY_IF_CASTABLE(From, To) \ hwy::EnableIf()>* = nullptr #define HWY_IF_OP_CASTABLE(op, T, Native) \ HWY_IF_CASTABLE(decltype(DeclVal() op DeclVal()), Native) template class IsAssignableT { private: template () = DeclVal())> static hwy::SizeTag<1> TryAssignTest(int); template static hwy::SizeTag<0> TryAssignTest(Arg); public: enum { value = IsSame(0)), hwy::SizeTag<1>>() }; }; template static constexpr bool IsAssignable() { return IsAssignableT::value; } #define HWY_IF_ASSIGNABLE(T, From) \ hwy::EnableIf()>* = nullptr // ---------------------------------------------------------------------------- // IsSpecialFloat // These types are often special-cased and not supported in all ops. template HWY_API constexpr bool IsSpecialFloat() { return IsSameEither, hwy::float16_t, hwy::bfloat16_t>(); } // ----------------------------------------------------------------------------- // IsIntegerLaneType and IsInteger template HWY_API constexpr bool IsIntegerLaneType() { return false; } template <> HWY_INLINE constexpr bool IsIntegerLaneType() { return true; } template <> HWY_INLINE constexpr bool IsIntegerLaneType() { return true; } template <> HWY_INLINE constexpr bool IsIntegerLaneType() { return true; } template <> HWY_INLINE constexpr bool IsIntegerLaneType() { return true; } template <> HWY_INLINE constexpr bool IsIntegerLaneType() { return true; } template <> HWY_INLINE constexpr bool IsIntegerLaneType() { return true; } template <> HWY_INLINE constexpr bool IsIntegerLaneType() { return true; } template <> HWY_INLINE constexpr bool IsIntegerLaneType() { return true; } namespace detail { template static HWY_INLINE constexpr bool IsNonCvInteger() { // NOTE: Do not add a IsNonCvInteger() specialization below as it is // possible for IsSame() to be true when compiled with MSVC // with the /Zc:wchar_t- option. return IsIntegerLaneType() || IsSame() || IsSameEither() || IsSameEither(); } template <> HWY_INLINE constexpr bool IsNonCvInteger() { return true; } template <> HWY_INLINE constexpr bool IsNonCvInteger() { return true; } template <> HWY_INLINE constexpr bool IsNonCvInteger() { return true; } template <> HWY_INLINE constexpr bool IsNonCvInteger() { return true; } template <> HWY_INLINE constexpr bool IsNonCvInteger() { // NOLINT return true; } template <> HWY_INLINE constexpr bool IsNonCvInteger() { // NOLINT return true; } template <> HWY_INLINE constexpr bool IsNonCvInteger() { return true; } template <> HWY_INLINE constexpr bool IsNonCvInteger() { return true; } template <> HWY_INLINE constexpr bool IsNonCvInteger() { // NOLINT return true; } template <> HWY_INLINE constexpr bool IsNonCvInteger() { // NOLINT return true; } template <> HWY_INLINE constexpr bool IsNonCvInteger() { // NOLINT return true; } template <> HWY_INLINE constexpr bool IsNonCvInteger() { // NOLINT return true; } #if defined(__cpp_char8_t) && __cpp_char8_t >= 201811L template <> HWY_INLINE constexpr bool IsNonCvInteger() { return true; } #endif template <> HWY_INLINE constexpr bool IsNonCvInteger() { return true; } template <> HWY_INLINE constexpr bool IsNonCvInteger() { return true; } } // namespace detail template HWY_API constexpr bool IsInteger() { return detail::IsNonCvInteger>(); } // ----------------------------------------------------------------------------- // BitCastScalar #if HWY_HAS_BUILTIN(__builtin_bit_cast) || HWY_COMPILER_MSVC >= 1926 #define HWY_BITCASTSCALAR_CONSTEXPR constexpr #else #define HWY_BITCASTSCALAR_CONSTEXPR #endif #if __cpp_constexpr >= 201304L #define HWY_BITCASTSCALAR_CXX14_CONSTEXPR HWY_BITCASTSCALAR_CONSTEXPR #else #define HWY_BITCASTSCALAR_CXX14_CONSTEXPR #endif #if HWY_HAS_BUILTIN(__builtin_bit_cast) || HWY_COMPILER_MSVC >= 1926 namespace detail { template struct BitCastScalarSrcCastHelper { static HWY_INLINE constexpr const From& CastSrcValRef(const From& val) { return val; } }; #if HWY_COMPILER_CLANG >= 900 && HWY_COMPILER_CLANG < 1000 // Workaround for Clang 9 constexpr __builtin_bit_cast bug template >() && hwy::IsInteger>()>* = nullptr> static HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR To BuiltinBitCastScalar(const From& val) { static_assert(sizeof(To) == sizeof(From), "sizeof(To) == sizeof(From) must be true"); return static_cast(val); } template >() && hwy::IsInteger>())>* = nullptr> static HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR To BuiltinBitCastScalar(const From& val) { return __builtin_bit_cast(To, val); } #endif // HWY_COMPILER_CLANG >= 900 && HWY_COMPILER_CLANG < 1000 } // namespace detail template HWY_API HWY_BITCASTSCALAR_CONSTEXPR To BitCastScalar(const From& val) { // If From is hwy::float16_t or hwy::bfloat16_t, first cast val to either // const typename From::Native& or const uint16_t& using // detail::BitCastScalarSrcCastHelper>::CastSrcValRef to // allow BitCastScalar from hwy::float16_t or hwy::bfloat16_t to be constexpr // if To is not a pointer type, union type, or a struct/class containing a // pointer, union, or reference subobject #if HWY_COMPILER_CLANG >= 900 && HWY_COMPILER_CLANG < 1000 return detail::BuiltinBitCastScalar( detail::BitCastScalarSrcCastHelper>::CastSrcValRef( val)); #else return __builtin_bit_cast( To, detail::BitCastScalarSrcCastHelper>::CastSrcValRef( val)); #endif } template HWY_API HWY_BITCASTSCALAR_CONSTEXPR To BitCastScalar(const From& val) { // If To is hwy::float16_t or hwy::bfloat16_t, first do a BitCastScalar of val // to uint16_t, and then bit cast the uint16_t value to To using To::FromBits // as hwy::float16_t::FromBits and hwy::bfloat16_t::FromBits are guaranteed to // be constexpr if the __builtin_bit_cast intrinsic is available. return To::FromBits(BitCastScalar(val)); } #else template HWY_API HWY_BITCASTSCALAR_CONSTEXPR To BitCastScalar(const From& val) { To result; CopySameSize(&val, &result); return result; } #endif //------------------------------------------------------------------------------ // F16 lane type #pragma pack(push, 1) #ifndef HWY_NEON_HAVE_F16C // allow override // Compiler supports __fp16 and load/store/conversion NEON intrinsics, which are // included in Armv8 and VFPv4 (except with MSVC). On Armv7 Clang requires // __ARM_FP & 2 whereas Armv7 GCC requires -mfp16-format=ieee. #if (HWY_ARCH_ARM_A64 && !HWY_COMPILER_MSVC) || \ (HWY_COMPILER_CLANG && defined(__ARM_FP) && (__ARM_FP & 2)) || \ (HWY_COMPILER_GCC_ACTUAL && defined(__ARM_FP16_FORMAT_IEEE)) #define HWY_NEON_HAVE_F16C 1 #else #define HWY_NEON_HAVE_F16C 0 #endif #endif // HWY_NEON_HAVE_F16C // RVV with f16 extension supports _Float16 and f16 vector ops. If set, implies // HWY_HAVE_FLOAT16. #if HWY_ARCH_RISCV && defined(__riscv_zvfh) && HWY_COMPILER_CLANG >= 1600 #define HWY_RVV_HAVE_F16_VEC 1 #else #define HWY_RVV_HAVE_F16_VEC 0 #endif // x86 compiler supports _Float16, not necessarily with operators. // Avoid clang-cl because it lacks __extendhfsf2. #if HWY_ARCH_X86 && defined(__SSE2__) && defined(__FLT16_MAX__) && \ ((HWY_COMPILER_CLANG >= 1500 && !HWY_COMPILER_CLANGCL) || \ HWY_COMPILER_GCC_ACTUAL >= 1200) #define HWY_SSE2_HAVE_F16_TYPE 1 #else #define HWY_SSE2_HAVE_F16_TYPE 0 #endif #ifndef HWY_HAVE_SCALAR_F16_TYPE // allow override // Compiler supports _Float16, not necessarily with operators. #if HWY_NEON_HAVE_F16C || HWY_RVV_HAVE_F16_VEC || HWY_SSE2_HAVE_F16_TYPE || \ __SPIRV_DEVICE__ #define HWY_HAVE_SCALAR_F16_TYPE 1 #else #define HWY_HAVE_SCALAR_F16_TYPE 0 #endif #endif // HWY_HAVE_SCALAR_F16_TYPE #ifndef HWY_HAVE_SCALAR_F16_OPERATORS // Recent enough compiler also has operators. #if HWY_HAVE_SCALAR_F16_TYPE && \ (HWY_COMPILER_CLANG >= 1800 || HWY_COMPILER_GCC_ACTUAL >= 1200 || \ (HWY_COMPILER_CLANG >= 1500 && !HWY_COMPILER_CLANGCL && \ !defined(_WIN32)) || \ (HWY_ARCH_ARM && \ (HWY_COMPILER_CLANG >= 900 || HWY_COMPILER_GCC_ACTUAL >= 800))) #define HWY_HAVE_SCALAR_F16_OPERATORS 1 #else #define HWY_HAVE_SCALAR_F16_OPERATORS 0 #endif #endif // HWY_HAVE_SCALAR_F16_OPERATORS namespace detail { template , bool = IsSpecialFloat()> struct SpecialFloatUnwrapArithOpOperandT {}; template struct SpecialFloatUnwrapArithOpOperandT { using type = T; }; template using SpecialFloatUnwrapArithOpOperand = typename SpecialFloatUnwrapArithOpOperandT::type; template > struct NativeSpecialFloatToWrapperT { using type = T; }; template using NativeSpecialFloatToWrapper = typename NativeSpecialFloatToWrapperT::type; } // namespace detail // Match [u]int##_t naming scheme so rvv-inl.h macros can obtain the type name // by concatenating base type and bits. We use a wrapper class instead of a // typedef to the native type to ensure that the same symbols, e.g. for VQSort, // are generated regardless of F16 support; see #1684. struct alignas(2) float16_t { #if HWY_HAVE_SCALAR_F16_TYPE #if HWY_RVV_HAVE_F16_VEC || HWY_SSE2_HAVE_F16_TYPE || __SPIRV_DEVICE__ using Native = _Float16; #elif HWY_NEON_HAVE_F16C using Native = __fp16; #else #error "Logic error: condition should be 'all but NEON_HAVE_F16C'" #endif #elif HWY_IDE using Native = uint16_t; #endif // HWY_HAVE_SCALAR_F16_TYPE union { #if HWY_HAVE_SCALAR_F16_TYPE || HWY_IDE // Accessed via NativeLaneType, and used directly if // HWY_HAVE_SCALAR_F16_OPERATORS. Native native; #endif // Only accessed via NativeLaneType or U16LaneType. uint16_t bits; }; // Default init and copying. float16_t() noexcept = default; constexpr float16_t(const float16_t&) noexcept = default; constexpr float16_t(float16_t&&) noexcept = default; float16_t& operator=(const float16_t&) noexcept = default; float16_t& operator=(float16_t&&) noexcept = default; #if HWY_HAVE_SCALAR_F16_TYPE // NEON vget/set_lane intrinsics and SVE `svaddv` could use explicit // float16_t(intrinsic()), but user code expects implicit conversions. constexpr float16_t(Native arg) noexcept : native(arg) {} constexpr operator Native() const noexcept { return native; } #endif #if HWY_HAVE_SCALAR_F16_TYPE static HWY_BITCASTSCALAR_CONSTEXPR float16_t FromBits(uint16_t bits) { return float16_t(BitCastScalar(bits)); } #else private: struct F16FromU16BitsTag {}; constexpr float16_t(F16FromU16BitsTag /*tag*/, uint16_t u16_bits) : bits(u16_bits) {} public: static constexpr float16_t FromBits(uint16_t bits) { return float16_t(F16FromU16BitsTag(), bits); } #endif // When backed by a native type, ensure the wrapper behaves like the native // type by forwarding all operators. Unfortunately it seems difficult to reuse // this code in a base class, so we repeat it in float16_t. #if HWY_HAVE_SCALAR_F16_OPERATORS || HWY_IDE template , float16_t>() && IsConvertible()>* = nullptr> constexpr float16_t(T&& arg) noexcept : native(static_cast(static_cast(arg))) {} template , float16_t>() && !IsConvertible() && IsStaticCastable()>* = nullptr> explicit constexpr float16_t(T&& arg) noexcept : native(static_cast(static_cast(arg))) {} // pre-decrement operator (--x) HWY_CXX14_CONSTEXPR float16_t& operator--() noexcept { native = static_cast(native - Native{1}); return *this; } // post-decrement operator (x--) HWY_CXX14_CONSTEXPR float16_t operator--(int) noexcept { float16_t result = *this; native = static_cast(native - Native{1}); return result; } // pre-increment operator (++x) HWY_CXX14_CONSTEXPR float16_t& operator++() noexcept { native = static_cast(native + Native{1}); return *this; } // post-increment operator (x++) HWY_CXX14_CONSTEXPR float16_t operator++(int) noexcept { float16_t result = *this; native = static_cast(native + Native{1}); return result; } constexpr float16_t operator-() const noexcept { return float16_t(static_cast(-native)); } constexpr float16_t operator+() const noexcept { return *this; } // Reduce clutter by generating `operator+` and `operator+=` etc. Note that // we cannot token-paste `operator` and `+`, so pass it in as `op_func`. #define HWY_FLOAT16_BINARY_OP(op, op_func, assign_func) \ constexpr float16_t op_func(const float16_t& rhs) const noexcept { \ return float16_t(static_cast(native op rhs.native)); \ } \ template , \ typename RawResultT = \ decltype(DeclVal() op DeclVal()), \ typename ResultT = \ detail::NativeSpecialFloatToWrapper, \ HWY_IF_CASTABLE(RawResultT, ResultT)> \ constexpr ResultT op_func(const T& rhs) const noexcept(noexcept( \ static_cast(DeclVal() op DeclVal()))) { \ return static_cast(native op static_cast(rhs)); \ } \ HWY_CXX14_CONSTEXPR hwy::float16_t& assign_func( \ const hwy::float16_t& rhs) noexcept { \ native = static_cast(native op rhs.native); \ return *this; \ } \ template () op DeclVal()))> \ HWY_CXX14_CONSTEXPR hwy::float16_t& assign_func(const T& rhs) noexcept( \ noexcept( \ static_cast(DeclVal() op DeclVal()))) { \ native = static_cast(native op rhs); \ return *this; \ } HWY_FLOAT16_BINARY_OP(+, operator+, operator+=) HWY_FLOAT16_BINARY_OP(-, operator-, operator-=) HWY_FLOAT16_BINARY_OP(*, operator*, operator*=) HWY_FLOAT16_BINARY_OP(/, operator/, operator/=) #undef HWY_FLOAT16_BINARY_OP #endif // HWY_HAVE_SCALAR_F16_OPERATORS }; static_assert(sizeof(hwy::float16_t) == 2, "Wrong size of float16_t"); #if HWY_HAVE_SCALAR_F16_TYPE namespace detail { #if HWY_HAVE_SCALAR_F16_OPERATORS template struct SpecialFloatUnwrapArithOpOperandT { using type = hwy::float16_t::Native; }; #endif template struct NativeSpecialFloatToWrapperT { using type = hwy::float16_t; }; } // namespace detail #endif // HWY_HAVE_SCALAR_F16_TYPE #if HWY_HAS_BUILTIN(__builtin_bit_cast) || HWY_COMPILER_MSVC >= 1926 namespace detail { template <> struct BitCastScalarSrcCastHelper { #if HWY_HAVE_SCALAR_F16_TYPE static HWY_INLINE constexpr const hwy::float16_t::Native& CastSrcValRef( const hwy::float16_t& val) { return val.native; } #else static HWY_INLINE constexpr const uint16_t& CastSrcValRef( const hwy::float16_t& val) { return val.bits; } #endif }; } // namespace detail #endif // HWY_HAS_BUILTIN(__builtin_bit_cast) || HWY_COMPILER_MSVC >= 1926 #if HWY_HAVE_SCALAR_F16_OPERATORS #define HWY_F16_CONSTEXPR constexpr #else #define HWY_F16_CONSTEXPR HWY_BITCASTSCALAR_CXX14_CONSTEXPR #endif // HWY_HAVE_SCALAR_F16_OPERATORS HWY_API HWY_F16_CONSTEXPR float F32FromF16(float16_t f16) { #if HWY_HAVE_SCALAR_F16_OPERATORS && !HWY_IDE return static_cast(f16); #endif #if !HWY_HAVE_SCALAR_F16_OPERATORS || HWY_IDE const uint16_t bits16 = BitCastScalar(f16); const uint32_t sign = static_cast(bits16 >> 15); const uint32_t biased_exp = (bits16 >> 10) & 0x1F; const uint32_t mantissa = bits16 & 0x3FF; // Subnormal or zero if (biased_exp == 0) { const float subnormal = (1.0f / 16384) * (static_cast(mantissa) * (1.0f / 1024)); return sign ? -subnormal : subnormal; } // Normalized, infinity or NaN: convert the representation directly // (faster than ldexp/tables). const uint32_t biased_exp32 = biased_exp == 31 ? 0xFF : biased_exp + (127 - 15); const uint32_t mantissa32 = mantissa << (23 - 10); const uint32_t bits32 = (sign << 31) | (biased_exp32 << 23) | mantissa32; return BitCastScalar(bits32); #endif // !HWY_HAVE_SCALAR_F16_OPERATORS } #if HWY_IS_DEBUG_BUILD && \ (HWY_HAS_BUILTIN(__builtin_bit_cast) || HWY_COMPILER_MSVC >= 1926) #if defined(__cpp_if_consteval) && __cpp_if_consteval >= 202106L // If C++23 if !consteval support is available, only execute // HWY_DASSERT(condition) if F16FromF32 is not called from a constant-evaluated // context to avoid compilation errors. #define HWY_F16_FROM_F32_DASSERT(condition) \ do { \ if !consteval { \ HWY_DASSERT(condition); \ } \ } while (0) #elif HWY_HAS_BUILTIN(__builtin_is_constant_evaluated) || \ HWY_COMPILER_MSVC >= 1926 // If the __builtin_is_constant_evaluated() intrinsic is available, // only do HWY_DASSERT(condition) if __builtin_is_constant_evaluated() returns // false to avoid compilation errors if F16FromF32 is called from a // constant-evaluated context. #define HWY_F16_FROM_F32_DASSERT(condition) \ do { \ if (!__builtin_is_constant_evaluated()) { \ HWY_DASSERT(condition); \ } \ } while (0) #else // If C++23 if !consteval support is not available, // the __builtin_is_constant_evaluated() intrinsic is not available, // HWY_IS_DEBUG_BUILD is 1, and the __builtin_bit_cast intrinsic is available, // do not do a HWY_DASSERT to avoid compilation errors if F16FromF32 is // called from a constant-evaluated context. #define HWY_F16_FROM_F32_DASSERT(condition) \ do { \ } while (0) #endif // defined(__cpp_if_consteval) && __cpp_if_consteval >= 202106L #else // If HWY_IS_DEBUG_BUILD is 0 or the __builtin_bit_cast intrinsic is not // available, define HWY_F16_FROM_F32_DASSERT(condition) as // HWY_DASSERT(condition) #define HWY_F16_FROM_F32_DASSERT(condition) HWY_DASSERT(condition) #endif // HWY_IS_DEBUG_BUILD && (HWY_HAS_BUILTIN(__builtin_bit_cast) || // HWY_COMPILER_MSVC >= 1926) HWY_API HWY_F16_CONSTEXPR float16_t F16FromF32(float f32) { #if HWY_HAVE_SCALAR_F16_OPERATORS && !HWY_IDE return float16_t(static_cast(f32)); #endif #if !HWY_HAVE_SCALAR_F16_OPERATORS || HWY_IDE const uint32_t bits32 = BitCastScalar(f32); const uint32_t sign = bits32 >> 31; const uint32_t biased_exp32 = (bits32 >> 23) & 0xFF; constexpr uint32_t kMantissaMask = 0x7FFFFF; const uint32_t mantissa32 = bits32 & kMantissaMask; // Before shifting (truncation), round to nearest even to reduce bias. If // the lowest remaining mantissa bit is odd, increase the offset. Example // with the lowest remaining bit (left) and next lower two bits; the // latter, plus two more, will be truncated. // 0[00] + 1 = 0[01] // 0[01] + 1 = 0[10] // 0[10] + 1 = 0[11] (round down toward even) // 0[11] + 1 = 1[00] (round up) // 1[00] + 10 = 1[10] // 1[01] + 10 = 1[11] // 1[10] + 10 = C0[00] (round up toward even with C=1 carry out) // 1[11] + 10 = C0[01] (round up toward even with C=1 carry out) // If |f32| >= 2^-24, f16_ulp_bit_idx is the index of the F32 mantissa bit // that will be shifted down into the ULP bit of the rounded down F16 result // The biased F32 exponent of 2^-14 (the smallest positive normal F16 value) // is 113, and bit 13 of the F32 mantissa will be shifted down to into the ULP // bit of the rounded down F16 result if |f32| >= 2^14 // If |f32| < 2^-24, f16_ulp_bit_idx is equal to 24 as there are 24 mantissa // bits (including the implied 1 bit) in the mantissa of a normal F32 value // and as we want to round up the mantissa if |f32| > 2^-25 && |f32| < 2^-24 const int32_t f16_ulp_bit_idx = HWY_MIN(HWY_MAX(126 - static_cast(biased_exp32), 13), 24); const uint32_t odd_bit = ((mantissa32 | 0x800000u) >> f16_ulp_bit_idx) & 1; const uint32_t rounded = mantissa32 + odd_bit + (uint32_t{1} << (f16_ulp_bit_idx - 1)) - 1u; const bool carry = rounded >= (1u << 23); const int32_t exp = static_cast(biased_exp32) - 127 + carry; // Tiny or zero => zero. if (exp < -24) { // restore original sign return float16_t::FromBits(static_cast(sign << 15)); } // If biased_exp16 would be >= 31, first check whether the input was NaN so we // can set the mantissa to nonzero. const bool is_nan = (biased_exp32 == 255) && mantissa32 != 0; const bool overflowed = exp >= 16; const uint32_t biased_exp16 = static_cast(HWY_MIN(HWY_MAX(0, exp + 15), 31)); // exp = [-24, -15] => subnormal, shift the mantissa. const uint32_t sub_exp = static_cast(HWY_MAX(-14 - exp, 0)); HWY_F16_FROM_F32_DASSERT(sub_exp < 11); const uint32_t shifted_mantissa = (rounded & kMantissaMask) >> (23 - 10 + sub_exp); const uint32_t leading = sub_exp == 0u ? 0u : (1024u >> sub_exp); const uint32_t mantissa16 = is_nan ? 0x3FF : overflowed ? 0u : (leading + shifted_mantissa); #if HWY_IS_DEBUG_BUILD if (exp < -14) { HWY_F16_FROM_F32_DASSERT(biased_exp16 == 0); HWY_F16_FROM_F32_DASSERT(sub_exp >= 1); } else if (exp <= 15) { HWY_F16_FROM_F32_DASSERT(1 <= biased_exp16 && biased_exp16 < 31); HWY_F16_FROM_F32_DASSERT(sub_exp == 0); } #endif HWY_F16_FROM_F32_DASSERT(mantissa16 < 1024); const uint32_t bits16 = (sign << 15) | (biased_exp16 << 10) | mantissa16; HWY_F16_FROM_F32_DASSERT(bits16 < 0x10000); const uint16_t narrowed = static_cast(bits16); // big-endian safe return float16_t::FromBits(narrowed); #endif // !HWY_HAVE_SCALAR_F16_OPERATORS } HWY_API HWY_F16_CONSTEXPR float16_t F16FromF64(double f64) { #if HWY_HAVE_SCALAR_F16_OPERATORS return float16_t(static_cast(f64)); #else // The mantissa bits of f64 are first rounded using round-to-odd rounding // to the nearest f64 value that has the lower 29 bits zeroed out to // ensure that the result is correctly rounded to a F16. // The F64 round-to-odd operation below will round a normal F64 value // (using round-to-odd rounding) to a F64 value that has 24 bits of precision. // It is okay if the magnitude of a denormal F64 value is rounded up in the // F64 round-to-odd step below as the magnitude of a denormal F64 value is // much smaller than 2^(-24) (the smallest positive denormal F16 value). // It is also okay if bit 29 of a NaN F64 value is changed by the F64 // round-to-odd step below as the lower 13 bits of a F32 NaN value are usually // discarded or ignored by the conversion of a F32 NaN value to a F16. // If f64 is a NaN value, the result of the F64 round-to-odd step will be a // NaN value as the result of the F64 round-to-odd step will have at least one // mantissa bit if f64 is a NaN value. // The F64 round-to-odd step will ensure that the F64 to F32 conversion is // exact if the magnitude of the rounded F64 value (using round-to-odd // rounding) is between 2^(-126) (the smallest normal F32 value) and // HighestValue() (the largest finite F32 value) // It is okay if the F64 to F32 conversion is inexact for F64 values that have // a magnitude that is less than 2^(-126) as the magnitude of a denormal F32 // value is much smaller than 2^(-24) (the smallest positive denormal F16 // value). return F16FromF32( static_cast(BitCastScalar(static_cast( (BitCastScalar(f64) & 0xFFFFFFFFE0000000ULL) | ((BitCastScalar(f64) + 0x000000001FFFFFFFULL) & 0x0000000020000000ULL))))); #endif } // More convenient to define outside float16_t because these may use // F32FromF16, which is defined after the struct. HWY_F16_CONSTEXPR inline bool operator==(float16_t lhs, float16_t rhs) noexcept { #if HWY_HAVE_SCALAR_F16_OPERATORS return lhs.native == rhs.native; #else return F32FromF16(lhs) == F32FromF16(rhs); #endif } HWY_F16_CONSTEXPR inline bool operator!=(float16_t lhs, float16_t rhs) noexcept { #if HWY_HAVE_SCALAR_F16_OPERATORS return lhs.native != rhs.native; #else return F32FromF16(lhs) != F32FromF16(rhs); #endif } HWY_F16_CONSTEXPR inline bool operator<(float16_t lhs, float16_t rhs) noexcept { #if HWY_HAVE_SCALAR_F16_OPERATORS return lhs.native < rhs.native; #else return F32FromF16(lhs) < F32FromF16(rhs); #endif } HWY_F16_CONSTEXPR inline bool operator<=(float16_t lhs, float16_t rhs) noexcept { #if HWY_HAVE_SCALAR_F16_OPERATORS return lhs.native <= rhs.native; #else return F32FromF16(lhs) <= F32FromF16(rhs); #endif } HWY_F16_CONSTEXPR inline bool operator>(float16_t lhs, float16_t rhs) noexcept { #if HWY_HAVE_SCALAR_F16_OPERATORS return lhs.native > rhs.native; #else return F32FromF16(lhs) > F32FromF16(rhs); #endif } HWY_F16_CONSTEXPR inline bool operator>=(float16_t lhs, float16_t rhs) noexcept { #if HWY_HAVE_SCALAR_F16_OPERATORS return lhs.native >= rhs.native; #else return F32FromF16(lhs) >= F32FromF16(rhs); #endif } #if HWY_HAVE_CXX20_THREE_WAY_COMPARE HWY_F16_CONSTEXPR inline std::partial_ordering operator<=>( float16_t lhs, float16_t rhs) noexcept { #if HWY_HAVE_SCALAR_F16_OPERATORS return lhs.native <=> rhs.native; #else return F32FromF16(lhs) <=> F32FromF16(rhs); #endif } #endif // HWY_HAVE_CXX20_THREE_WAY_COMPARE //------------------------------------------------------------------------------ // BF16 lane type // Compiler supports ACLE __bf16, not necessarily with operators. // Disable the __bf16 type on AArch64 with GCC 13 or earlier as there is a bug // in GCC 13 and earlier that sometimes causes BF16 constant values to be // incorrectly loaded on AArch64, and this GCC bug on AArch64 is // described at https://gcc.gnu.org/bugzilla/show_bug.cgi?id=111867. #if HWY_ARCH_ARM_A64 && \ (HWY_COMPILER_CLANG >= 1700 || HWY_COMPILER_GCC_ACTUAL >= 1400) #define HWY_ARM_HAVE_SCALAR_BF16_TYPE 1 #else #define HWY_ARM_HAVE_SCALAR_BF16_TYPE 0 #endif // x86 compiler supports __bf16, not necessarily with operators. // Disable in debug builds due to clang miscompiles as of 2025-07-22: casting // bf16 <-> f32 in convert_test results in 0x2525 for 1.0 instead of 0x3f80. // Reported at https://github.com/llvm/llvm-project/issues/151692. #ifndef HWY_SSE2_HAVE_SCALAR_BF16_TYPE #if HWY_ARCH_X86 && defined(__SSE2__) && \ ((HWY_COMPILER_CLANG >= 1700 && !HWY_COMPILER_CLANGCL && \ !HWY_IS_DEBUG_BUILD) || \ HWY_COMPILER_GCC_ACTUAL >= 1300) #define HWY_SSE2_HAVE_SCALAR_BF16_TYPE 1 #else #define HWY_SSE2_HAVE_SCALAR_BF16_TYPE 0 #endif #endif // HWY_SSE2_HAVE_SCALAR_BF16_TYPE // Compiler supports __bf16, not necessarily with operators. #if HWY_ARM_HAVE_SCALAR_BF16_TYPE || HWY_SSE2_HAVE_SCALAR_BF16_TYPE #define HWY_HAVE_SCALAR_BF16_TYPE 1 #else #define HWY_HAVE_SCALAR_BF16_TYPE 0 #endif #ifndef HWY_HAVE_SCALAR_BF16_OPERATORS // Recent enough compiler also has operators. aarch64 clang 18 hits internal // compiler errors on bf16 ToString, hence only enable on GCC for now. #if HWY_HAVE_SCALAR_BF16_TYPE && (HWY_COMPILER_GCC_ACTUAL >= 1300) #define HWY_HAVE_SCALAR_BF16_OPERATORS 1 #else #define HWY_HAVE_SCALAR_BF16_OPERATORS 0 #endif #endif // HWY_HAVE_SCALAR_BF16_OPERATORS #if HWY_HAVE_SCALAR_BF16_OPERATORS #define HWY_BF16_CONSTEXPR constexpr #else #define HWY_BF16_CONSTEXPR HWY_BITCASTSCALAR_CONSTEXPR #endif struct alignas(2) bfloat16_t { #if HWY_HAVE_SCALAR_BF16_TYPE using Native = __bf16; #elif HWY_IDE using Native = uint16_t; #endif union { #if HWY_HAVE_SCALAR_BF16_TYPE || HWY_IDE // Accessed via NativeLaneType, and used directly if // HWY_HAVE_SCALAR_BF16_OPERATORS. Native native; #endif // Only accessed via NativeLaneType or U16LaneType. uint16_t bits; }; // Default init and copying bfloat16_t() noexcept = default; constexpr bfloat16_t(bfloat16_t&&) noexcept = default; constexpr bfloat16_t(const bfloat16_t&) noexcept = default; bfloat16_t& operator=(bfloat16_t&& arg) noexcept = default; bfloat16_t& operator=(const bfloat16_t& arg) noexcept = default; // Only enable implicit conversions if we have a native type. #if HWY_HAVE_SCALAR_BF16_TYPE || HWY_IDE constexpr bfloat16_t(Native arg) noexcept : native(arg) {} constexpr operator Native() const noexcept { return native; } #endif #if HWY_HAVE_SCALAR_BF16_TYPE static HWY_BITCASTSCALAR_CONSTEXPR bfloat16_t FromBits(uint16_t bits) { return bfloat16_t(BitCastScalar(bits)); } #else private: struct BF16FromU16BitsTag {}; constexpr bfloat16_t(BF16FromU16BitsTag /*tag*/, uint16_t u16_bits) : bits(u16_bits) {} public: static constexpr bfloat16_t FromBits(uint16_t bits) { return bfloat16_t(BF16FromU16BitsTag(), bits); } #endif // When backed by a native type, ensure the wrapper behaves like the native // type by forwarding all operators. Unfortunately it seems difficult to reuse // this code in a base class, so we repeat it in float16_t. #if HWY_HAVE_SCALAR_BF16_OPERATORS || HWY_IDE template , Native>() && !IsSame, bfloat16_t>() && IsConvertible()>* = nullptr> constexpr bfloat16_t(T&& arg) noexcept( noexcept(static_cast(DeclVal()))) : native(static_cast(static_cast(arg))) {} template , Native>() && !IsSame, bfloat16_t>() && !IsConvertible() && IsStaticCastable()>* = nullptr> explicit constexpr bfloat16_t(T&& arg) noexcept( noexcept(static_cast(DeclVal()))) : native(static_cast(static_cast(arg))) {} HWY_CXX14_CONSTEXPR bfloat16_t& operator=(Native arg) noexcept { native = arg; return *this; } // pre-decrement operator (--x) HWY_CXX14_CONSTEXPR bfloat16_t& operator--() noexcept { native = static_cast(native - Native{1}); return *this; } // post-decrement operator (x--) HWY_CXX14_CONSTEXPR bfloat16_t operator--(int) noexcept { bfloat16_t result = *this; native = static_cast(native - Native{1}); return result; } // pre-increment operator (++x) HWY_CXX14_CONSTEXPR bfloat16_t& operator++() noexcept { native = static_cast(native + Native{1}); return *this; } // post-increment operator (x++) HWY_CXX14_CONSTEXPR bfloat16_t operator++(int) noexcept { bfloat16_t result = *this; native = static_cast(native + Native{1}); return result; } constexpr bfloat16_t operator-() const noexcept { return bfloat16_t(static_cast(-native)); } constexpr bfloat16_t operator+() const noexcept { return *this; } // Reduce clutter by generating `operator+` and `operator+=` etc. Note that // we cannot token-paste `operator` and `+`, so pass it in as `op_func`. #define HWY_BFLOAT16_BINARY_OP(op, op_func, assign_func) \ constexpr bfloat16_t op_func(const bfloat16_t& rhs) const noexcept { \ return bfloat16_t(static_cast(native op rhs.native)); \ } \ template , \ typename RawResultT = \ decltype(DeclVal() op DeclVal()), \ typename ResultT = \ detail::NativeSpecialFloatToWrapper, \ HWY_IF_CASTABLE(RawResultT, ResultT)> \ constexpr ResultT op_func(const T& rhs) const noexcept(noexcept( \ static_cast(DeclVal() op DeclVal()))) { \ return static_cast(native op static_cast(rhs)); \ } \ HWY_CXX14_CONSTEXPR hwy::bfloat16_t& assign_func( \ const hwy::bfloat16_t& rhs) noexcept { \ native = static_cast(native op rhs.native); \ return *this; \ } \ template () op DeclVal()))> \ HWY_CXX14_CONSTEXPR hwy::bfloat16_t& assign_func(const T& rhs) noexcept( \ noexcept( \ static_cast(DeclVal() op DeclVal()))) { \ native = static_cast(native op rhs); \ return *this; \ } HWY_BFLOAT16_BINARY_OP(+, operator+, operator+=) HWY_BFLOAT16_BINARY_OP(-, operator-, operator-=) HWY_BFLOAT16_BINARY_OP(*, operator*, operator*=) HWY_BFLOAT16_BINARY_OP(/, operator/, operator/=) #undef HWY_BFLOAT16_BINARY_OP #endif // HWY_HAVE_SCALAR_BF16_OPERATORS }; static_assert(sizeof(hwy::bfloat16_t) == 2, "Wrong size of bfloat16_t"); #pragma pack(pop) #if HWY_HAVE_SCALAR_BF16_TYPE namespace detail { #if HWY_HAVE_SCALAR_BF16_OPERATORS template struct SpecialFloatUnwrapArithOpOperandT { using type = hwy::bfloat16_t::Native; }; #endif template struct NativeSpecialFloatToWrapperT { using type = hwy::bfloat16_t; }; } // namespace detail #endif // HWY_HAVE_SCALAR_BF16_TYPE #if HWY_HAS_BUILTIN(__builtin_bit_cast) || HWY_COMPILER_MSVC >= 1926 namespace detail { template <> struct BitCastScalarSrcCastHelper { #if HWY_HAVE_SCALAR_BF16_TYPE static HWY_INLINE constexpr const hwy::bfloat16_t::Native& CastSrcValRef( const hwy::bfloat16_t& val) { return val.native; } #else static HWY_INLINE constexpr const uint16_t& CastSrcValRef( const hwy::bfloat16_t& val) { return val.bits; } #endif }; } // namespace detail #endif // HWY_HAS_BUILTIN(__builtin_bit_cast) || HWY_COMPILER_MSVC >= 1926 HWY_API HWY_BF16_CONSTEXPR float F32FromBF16(bfloat16_t bf) { #if HWY_HAVE_SCALAR_BF16_OPERATORS return static_cast(bf); #else return BitCastScalar(static_cast( static_cast(BitCastScalar(bf)) << 16)); #endif } namespace detail { // Returns the increment to add to the bits of a finite F32 value to round a // finite F32 to the nearest BF16 value static HWY_INLINE HWY_MAYBE_UNUSED constexpr uint32_t F32BitsToBF16RoundIncr( const uint32_t f32_bits) { return static_cast(((f32_bits & 0x7FFFFFFFu) < 0x7F800000u) ? (0x7FFFu + ((f32_bits >> 16) & 1u)) : 0u); } // If f32_bits is the bit representation of a NaN F32 value, make sure that // bit 6 of the BF16 result is set to convert SNaN F32 values to QNaN BF16 // values and to prevent NaN F32 values from being converted to an infinite // BF16 value static HWY_INLINE constexpr uint32_t BF16BitsIfSNAN(uint32_t f32_bits) { return ((f32_bits & 0x7FFFFFFFu) > 0x7F800000u) ? (uint32_t{1} << 6) : 0; } // Converts f32_bits (which is the bits of a F32 value) to BF16 bits, // rounded to the nearest F16 value static HWY_INLINE HWY_MAYBE_UNUSED constexpr uint16_t F32BitsToBF16Bits( const uint32_t f32_bits) { return static_cast( BF16BitsIfSNAN(f32_bits) | ((f32_bits + F32BitsToBF16RoundIncr(f32_bits)) >> 16)); } } // namespace detail HWY_API HWY_BF16_CONSTEXPR bfloat16_t BF16FromF32(float f) { // The rounding mode is not specified in the C++ standard, so ignore // `HWY_HAVE_SCALAR_BF16_OPERATORS` and only use our round to nearest. return bfloat16_t::FromBits( detail::F32BitsToBF16Bits(BitCastScalar(f))); } HWY_API HWY_BF16_CONSTEXPR bfloat16_t BF16FromF64(double f64) { // The mantissa bits of f64 are first rounded using round-to-odd rounding // to the nearest f64 value that has the lower 38 bits zeroed out to // ensure that the result is correctly rounded to a BF16. // The F64 round-to-odd operation below will round a normal F64 value // (using round-to-odd rounding) to a F64 value that has 15 bits of precision. // It is okay if the magnitude of a denormal F64 value is rounded up in the // F64 round-to-odd step below as the magnitude of a denormal F64 value is // much smaller than 2^(-133) (the smallest positive denormal BF16 value). // It is also okay if bit 38 of a NaN F64 value is changed by the F64 // round-to-odd step below as the lower 16 bits of a F32 NaN value are usually // discarded or ignored by the conversion of a F32 NaN value to a BF16. // If f64 is a NaN value, the result of the F64 round-to-odd step will be a // NaN value as the result of the F64 round-to-odd step will have at least one // mantissa bit if f64 is a NaN value. // The F64 round-to-odd step below will ensure that the F64 to F32 conversion // is exact if the magnitude of the rounded F64 value (using round-to-odd // rounding) is between 2^(-135) (one-fourth of the smallest positive denormal // BF16 value) and HighestValue() (the largest finite F32 value). // If |f64| is less than 2^(-135), the magnitude of the result of the F64 to // F32 conversion is guaranteed to be less than or equal to 2^(-135), which // ensures that the F32 to BF16 conversion is correctly rounded, even if the // conversion of a rounded F64 value whose magnitude is less than 2^(-135) // to a F32 is inexact. return BF16FromF32( static_cast(BitCastScalar(static_cast( (BitCastScalar(f64) & 0xFFFFFFC000000000ULL) | ((BitCastScalar(f64) + 0x0000003FFFFFFFFFULL) & 0x0000004000000000ULL))))); } // More convenient to define outside bfloat16_t because these may use // F32FromBF16, which is defined after the struct. HWY_BF16_CONSTEXPR inline bool operator==(bfloat16_t lhs, bfloat16_t rhs) noexcept { #if HWY_HAVE_SCALAR_BF16_OPERATORS return lhs.native == rhs.native; #else return F32FromBF16(lhs) == F32FromBF16(rhs); #endif } HWY_BF16_CONSTEXPR inline bool operator!=(bfloat16_t lhs, bfloat16_t rhs) noexcept { #if HWY_HAVE_SCALAR_BF16_OPERATORS return lhs.native != rhs.native; #else return F32FromBF16(lhs) != F32FromBF16(rhs); #endif } HWY_BF16_CONSTEXPR inline bool operator<(bfloat16_t lhs, bfloat16_t rhs) noexcept { #if HWY_HAVE_SCALAR_BF16_OPERATORS return lhs.native < rhs.native; #else return F32FromBF16(lhs) < F32FromBF16(rhs); #endif } HWY_BF16_CONSTEXPR inline bool operator<=(bfloat16_t lhs, bfloat16_t rhs) noexcept { #if HWY_HAVE_SCALAR_BF16_OPERATORS return lhs.native <= rhs.native; #else return F32FromBF16(lhs) <= F32FromBF16(rhs); #endif } HWY_BF16_CONSTEXPR inline bool operator>(bfloat16_t lhs, bfloat16_t rhs) noexcept { #if HWY_HAVE_SCALAR_BF16_OPERATORS return lhs.native > rhs.native; #else return F32FromBF16(lhs) > F32FromBF16(rhs); #endif } HWY_BF16_CONSTEXPR inline bool operator>=(bfloat16_t lhs, bfloat16_t rhs) noexcept { #if HWY_HAVE_SCALAR_BF16_OPERATORS return lhs.native >= rhs.native; #else return F32FromBF16(lhs) >= F32FromBF16(rhs); #endif } #if HWY_HAVE_CXX20_THREE_WAY_COMPARE HWY_BF16_CONSTEXPR inline std::partial_ordering operator<=>( bfloat16_t lhs, bfloat16_t rhs) noexcept { #if HWY_HAVE_SCALAR_BF16_OPERATORS return lhs.native <=> rhs.native; #else return F32FromBF16(lhs) <=> F32FromBF16(rhs); #endif } #endif // HWY_HAVE_CXX20_THREE_WAY_COMPARE //------------------------------------------------------------------------------ // Type relations namespace detail { template struct Relations; template <> struct Relations { using Unsigned = uint8_t; using Signed = int8_t; using Wide = uint16_t; enum { is_signed = 0, is_float = 0, is_bf16 = 0 }; }; template <> struct Relations { using Unsigned = uint8_t; using Signed = int8_t; using Wide = int16_t; enum { is_signed = 1, is_float = 0, is_bf16 = 0 }; }; template <> struct Relations { using Unsigned = uint16_t; using Signed = int16_t; using Float = float16_t; using Wide = uint32_t; using Narrow = uint8_t; enum { is_signed = 0, is_float = 0, is_bf16 = 0 }; }; template <> struct Relations { using Unsigned = uint16_t; using Signed = int16_t; using Float = float16_t; using Wide = int32_t; using Narrow = int8_t; enum { is_signed = 1, is_float = 0, is_bf16 = 0 }; }; template <> struct Relations { using Unsigned = uint32_t; using Signed = int32_t; using Float = float; using Wide = uint64_t; using Narrow = uint16_t; enum { is_signed = 0, is_float = 0, is_bf16 = 0 }; }; template <> struct Relations { using Unsigned = uint32_t; using Signed = int32_t; using Float = float; using Wide = int64_t; using Narrow = int16_t; enum { is_signed = 1, is_float = 0, is_bf16 = 0 }; }; template <> struct Relations { using Unsigned = uint64_t; using Signed = int64_t; using Float = double; using Wide = uint128_t; using Narrow = uint32_t; enum { is_signed = 0, is_float = 0, is_bf16 = 0 }; }; template <> struct Relations { using Unsigned = uint64_t; using Signed = int64_t; using Float = double; using Narrow = int32_t; enum { is_signed = 1, is_float = 0, is_bf16 = 0 }; }; template <> struct Relations { using Unsigned = uint128_t; using Narrow = uint64_t; enum { is_signed = 0, is_float = 0, is_bf16 = 0 }; }; template <> struct Relations { using Unsigned = uint16_t; using Signed = int16_t; using Float = float16_t; using Wide = float; enum { is_signed = 1, is_float = 1, is_bf16 = 0 }; }; template <> struct Relations { using Unsigned = uint16_t; using Signed = int16_t; using Wide = float; enum { is_signed = 1, is_float = 1, is_bf16 = 1 }; }; template <> struct Relations { using Unsigned = uint32_t; using Signed = int32_t; using Float = float; using Wide = double; using Narrow = float16_t; enum { is_signed = 1, is_float = 1, is_bf16 = 0 }; }; template <> struct Relations { using Unsigned = uint64_t; using Signed = int64_t; using Float = double; using Narrow = float; enum { is_signed = 1, is_float = 1, is_bf16 = 0 }; }; template struct TypeFromSize; template <> struct TypeFromSize<1> { using Unsigned = uint8_t; using Signed = int8_t; }; template <> struct TypeFromSize<2> { using Unsigned = uint16_t; using Signed = int16_t; using Float = float16_t; }; template <> struct TypeFromSize<4> { using Unsigned = uint32_t; using Signed = int32_t; using Float = float; }; template <> struct TypeFromSize<8> { using Unsigned = uint64_t; using Signed = int64_t; using Float = double; }; template <> struct TypeFromSize<16> { using Unsigned = uint128_t; }; } // namespace detail // Aliases for types of a different category, but the same size. template using MakeUnsigned = typename detail::Relations::Unsigned; template using MakeSigned = typename detail::Relations::Signed; template using MakeFloat = typename detail::Relations::Float; // Aliases for types of the same category, but different size. template using MakeWide = typename detail::Relations::Wide; template using MakeNarrow = typename detail::Relations::Narrow; // Obtain type from its size [bytes]. template using UnsignedFromSize = typename detail::TypeFromSize::Unsigned; template using SignedFromSize = typename detail::TypeFromSize::Signed; template using FloatFromSize = typename detail::TypeFromSize::Float; // Avoid confusion with SizeTag where the parameter is a lane size. using UnsignedTag = SizeTag<0>; using SignedTag = SizeTag<0x100>; // integer using FloatTag = SizeTag<0x200>; using SpecialTag = SizeTag<0x300>; template > constexpr auto TypeTag() -> hwy::SizeTag<((R::is_signed + R::is_float + R::is_bf16) << 8)> { return hwy::SizeTag<((R::is_signed + R::is_float + R::is_bf16) << 8)>(); } // For when we only want to distinguish FloatTag from everything else. using NonFloatTag = SizeTag<0x400>; template > constexpr auto IsFloatTag() -> hwy::SizeTag<(R::is_float ? 0x200 : 0x400)> { return hwy::SizeTag<(R::is_float ? 0x200 : 0x400)>(); } //------------------------------------------------------------------------------ // Type traits template HWY_API constexpr bool IsFloat3264() { return IsSameEither, float, double>(); } template HWY_API constexpr bool IsFloat() { // Cannot use T(1.25) != T(1) for float16_t, which can only be converted to or // from a float, not compared. Include float16_t in case HWY_HAVE_FLOAT16=1. return IsSame, float16_t>() || IsFloat3264(); } template HWY_API constexpr bool IsSigned() { return static_cast(0) > static_cast(-1); } template <> constexpr bool IsSigned() { return true; } template <> constexpr bool IsSigned() { return true; } template <> constexpr bool IsSigned() { return false; } template <> constexpr bool IsSigned() { return false; } template <> constexpr bool IsSigned() { return false; } template HWY_API constexpr bool IsUnsigned() { return IsInteger() && !IsSigned(); } template () && !IsIntegerLaneType()> struct MakeLaneTypeIfIntegerT { using type = T; }; template struct MakeLaneTypeIfIntegerT { using type = hwy::If(), SignedFromSize, UnsignedFromSize>; }; template using MakeLaneTypeIfInteger = typename MakeLaneTypeIfIntegerT::type; // Largest/smallest representable integer values. template HWY_API constexpr T LimitsMax() { static_assert(IsInteger(), "Only for integer types"); using TU = UnsignedFromSize; return static_cast(IsSigned() ? (static_cast(~TU(0)) >> 1) : static_cast(~TU(0))); } template HWY_API constexpr T LimitsMin() { static_assert(IsInteger(), "Only for integer types"); return IsSigned() ? static_cast(-1) - LimitsMax() : static_cast(0); } // Largest/smallest representable value (integer or float). This naming avoids // confusion with numeric_limits::min() (the smallest positive value). // Cannot be constexpr because we use CopySameSize for [b]float16_t. template HWY_API HWY_BITCASTSCALAR_CONSTEXPR T LowestValue() { return LimitsMin(); } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR bfloat16_t LowestValue() { return bfloat16_t::FromBits(uint16_t{0xFF7Fu}); // -1.1111111 x 2^127 } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR float16_t LowestValue() { return float16_t::FromBits(uint16_t{0xFBFFu}); // -1.1111111111 x 2^15 } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR float LowestValue() { return -3.402823466e+38F; } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR double LowestValue() { return -1.7976931348623158e+308; } template HWY_API HWY_BITCASTSCALAR_CONSTEXPR T HighestValue() { return LimitsMax(); } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR bfloat16_t HighestValue() { return bfloat16_t::FromBits(uint16_t{0x7F7Fu}); // 1.1111111 x 2^127 } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR float16_t HighestValue() { return float16_t::FromBits(uint16_t{0x7BFFu}); // 1.1111111111 x 2^15 } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR float HighestValue() { return 3.402823466e+38F; } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR double HighestValue() { return 1.7976931348623158e+308; } // Difference between 1.0 and the next representable value. Equal to // 1 / (1ULL << MantissaBits()), but hard-coding ensures precision. template HWY_API HWY_BITCASTSCALAR_CONSTEXPR T Epsilon() { return 1; } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR bfloat16_t Epsilon() { return bfloat16_t::FromBits(uint16_t{0x3C00u}); // 0.0078125 } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR float16_t Epsilon() { return float16_t::FromBits(uint16_t{0x1400u}); // 0.0009765625 } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR float Epsilon() { return 1.192092896e-7f; } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR double Epsilon() { return 2.2204460492503131e-16; } // Returns width in bits of the mantissa field in IEEE binary16/32/64. template constexpr int MantissaBits() { static_assert(sizeof(T) == 0, "Only instantiate the specializations"); return 0; } template <> constexpr int MantissaBits() { return 7; } template <> constexpr int MantissaBits() { return 10; } template <> constexpr int MantissaBits() { return 23; } template <> constexpr int MantissaBits() { return 52; } // Returns the (left-shifted by one bit) IEEE binary16/32/64 representation with // the largest possible (biased) exponent field. Used by IsInf. template constexpr MakeSigned MaxExponentTimes2() { return -(MakeSigned{1} << (MantissaBits() + 1)); } // Returns bitmask of the sign bit in IEEE binary16/32/64. template constexpr MakeUnsigned SignMask() { return MakeUnsigned{1} << (sizeof(T) * 8 - 1); } // Returns bitmask of the exponent field in IEEE binary16/32/64. template constexpr MakeUnsigned ExponentMask() { return (~(MakeUnsigned{1} << MantissaBits()) + 1) & static_cast>(~SignMask()); } // Returns bitmask of the mantissa field in IEEE binary16/32/64. template constexpr MakeUnsigned MantissaMask() { return (MakeUnsigned{1} << MantissaBits()) - 1; } // Returns 1 << mantissa_bits as a floating-point number. All integers whose // absolute value are less than this can be represented exactly. template HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR T MantissaEnd() { static_assert(sizeof(T) == 0, "Only instantiate the specializations"); return 0; } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR bfloat16_t MantissaEnd() { return bfloat16_t::FromBits(uint16_t{0x4300u}); // 1.0 x 2^7 } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR float16_t MantissaEnd() { return float16_t::FromBits(uint16_t{0x6400u}); // 1.0 x 2^10 } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR float MantissaEnd() { return 8388608.0f; // 1 << 23 } template <> HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR double MantissaEnd() { // floating point literal with p52 requires C++17. return 4503599627370496.0; // 1 << 52 } // Returns width in bits of the exponent field in IEEE binary16/32/64. template constexpr int ExponentBits() { // Exponent := remaining bits after deducting sign and mantissa. return 8 * sizeof(T) - 1 - MantissaBits(); } // Returns largest value of the biased exponent field in IEEE binary16/32/64, // right-shifted so that the LSB is bit zero. Example: 0xFF for float. // This is expressed as a signed integer for more efficient comparison. template constexpr MakeSigned MaxExponentField() { return (MakeSigned{1} << ExponentBits()) - 1; } namespace detail { template static HWY_INLINE HWY_MAYBE_UNUSED HWY_BITCASTSCALAR_CONSTEXPR T NegativeInfOrLowestValue(hwy::FloatTag /* tag */) { return BitCastScalar( static_cast>(SignMask() | ExponentMask())); } template static HWY_INLINE HWY_MAYBE_UNUSED HWY_BITCASTSCALAR_CONSTEXPR T NegativeInfOrLowestValue(hwy::NonFloatTag /* tag */) { return LowestValue(); } template static HWY_INLINE HWY_MAYBE_UNUSED HWY_BITCASTSCALAR_CONSTEXPR T PositiveInfOrHighestValue(hwy::FloatTag /* tag */) { return BitCastScalar(ExponentMask()); } template static HWY_INLINE HWY_MAYBE_UNUSED HWY_BITCASTSCALAR_CONSTEXPR T PositiveInfOrHighestValue(hwy::NonFloatTag /* tag */) { return HighestValue(); } } // namespace detail template HWY_API HWY_BITCASTSCALAR_CONSTEXPR T NegativeInfOrLowestValue() { return detail::NegativeInfOrLowestValue(IsFloatTag()); } template HWY_API HWY_BITCASTSCALAR_CONSTEXPR T PositiveInfOrHighestValue() { return detail::PositiveInfOrHighestValue(IsFloatTag()); } //------------------------------------------------------------------------------ // Additional F16/BF16 operators #if HWY_HAVE_SCALAR_F16_OPERATORS || HWY_HAVE_SCALAR_BF16_OPERATORS #define HWY_RHS_SPECIAL_FLOAT_ARITH_OP(op, op_func, T2) \ template < \ typename T1, \ hwy::EnableIf>() || \ hwy::IsFloat3264>()>* = nullptr, \ typename RawResultT = decltype(DeclVal() op DeclVal()), \ typename ResultT = detail::NativeSpecialFloatToWrapper, \ HWY_IF_CASTABLE(RawResultT, ResultT)> \ static HWY_INLINE constexpr ResultT op_func(T1 a, T2 b) noexcept { \ return static_cast(a op b.native); \ } #define HWY_RHS_SPECIAL_FLOAT_ASSIGN_OP(op, assign_op, T2) \ template >() || \ hwy::IsFloat3264>()>* = nullptr, \ typename ResultT = \ decltype(DeclVal() assign_op DeclVal())> \ static HWY_INLINE constexpr ResultT operator assign_op(T1& a, \ T2 b) noexcept { \ return (a assign_op b.native); \ } #define HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(op, op_func, T1) \ HWY_RHS_SPECIAL_FLOAT_ARITH_OP(op, op_func, T1) \ template < \ typename T2, \ hwy::EnableIf>() || \ hwy::IsFloat3264>()>* = nullptr, \ typename RawResultT = decltype(DeclVal() op DeclVal()), \ typename ResultT = detail::NativeSpecialFloatToWrapper, \ HWY_IF_CASTABLE(RawResultT, ResultT)> \ static HWY_INLINE constexpr ResultT op_func(T1 a, T2 b) noexcept { \ return static_cast(a.native op b); \ } #if HWY_HAVE_SCALAR_F16_OPERATORS HWY_RHS_SPECIAL_FLOAT_ARITH_OP(+, operator+, float16_t) HWY_RHS_SPECIAL_FLOAT_ARITH_OP(-, operator-, float16_t) HWY_RHS_SPECIAL_FLOAT_ARITH_OP(*, operator*, float16_t) HWY_RHS_SPECIAL_FLOAT_ARITH_OP(/, operator/, float16_t) HWY_RHS_SPECIAL_FLOAT_ASSIGN_OP(+, +=, float16_t) HWY_RHS_SPECIAL_FLOAT_ASSIGN_OP(-, -=, float16_t) HWY_RHS_SPECIAL_FLOAT_ASSIGN_OP(*, *=, float16_t) HWY_RHS_SPECIAL_FLOAT_ASSIGN_OP(/, /=, float16_t) HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(==, operator==, float16_t) HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(!=, operator!=, float16_t) HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(<, operator<, float16_t) HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(<=, operator<=, float16_t) HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(>, operator>, float16_t) HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(>=, operator>=, float16_t) #if HWY_HAVE_CXX20_THREE_WAY_COMPARE HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(<=>, operator<=>, float16_t) #endif #endif // HWY_HAVE_SCALAR_F16_OPERATORS #if HWY_HAVE_SCALAR_BF16_OPERATORS HWY_RHS_SPECIAL_FLOAT_ARITH_OP(+, operator+, bfloat16_t) HWY_RHS_SPECIAL_FLOAT_ARITH_OP(-, operator-, bfloat16_t) HWY_RHS_SPECIAL_FLOAT_ARITH_OP(*, operator*, bfloat16_t) HWY_RHS_SPECIAL_FLOAT_ARITH_OP(/, operator/, bfloat16_t) HWY_RHS_SPECIAL_FLOAT_ASSIGN_OP(+, +=, bfloat16_t) HWY_RHS_SPECIAL_FLOAT_ASSIGN_OP(-, -=, bfloat16_t) HWY_RHS_SPECIAL_FLOAT_ASSIGN_OP(*, *=, bfloat16_t) HWY_RHS_SPECIAL_FLOAT_ASSIGN_OP(/, /=, bfloat16_t) HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(==, operator==, bfloat16_t) HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(!=, operator!=, bfloat16_t) HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(<, operator<, bfloat16_t) HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(<=, operator<=, bfloat16_t) HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(>, operator>, bfloat16_t) HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(>=, operator>=, bfloat16_t) #if HWY_HAVE_CXX20_THREE_WAY_COMPARE HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP(<=>, operator<=>, bfloat16_t) #endif #endif // HWY_HAVE_SCALAR_BF16_OPERATORS #undef HWY_RHS_SPECIAL_FLOAT_ARITH_OP #undef HWY_RHS_SPECIAL_FLOAT_ASSIGN_OP #undef HWY_SPECIAL_FLOAT_CMP_AGAINST_NON_SPECIAL_OP #endif // HWY_HAVE_SCALAR_F16_OPERATORS || HWY_HAVE_SCALAR_BF16_OPERATORS //------------------------------------------------------------------------------ // Type conversions (after IsSpecialFloat) HWY_API float F32FromF16Mem(const void* ptr) { float16_t f16; CopyBytes<2>(HWY_ASSUME_ALIGNED(ptr, 2), &f16); return F32FromF16(f16); } HWY_API float F32FromBF16Mem(const void* ptr) { bfloat16_t bf; CopyBytes<2>(HWY_ASSUME_ALIGNED(ptr, 2), &bf); return F32FromBF16(bf); } #if HWY_HAVE_SCALAR_F16_OPERATORS #define HWY_BF16_TO_F16_CONSTEXPR HWY_BF16_CONSTEXPR #else #define HWY_BF16_TO_F16_CONSTEXPR HWY_F16_CONSTEXPR #endif namespace detail { template static HWY_INLINE HWY_MAYBE_UNUSED constexpr TTo ConvertScalarToResult( hwy::SizeTag<0> /*conv_to_tag*/, TFrom in) { return static_cast(static_cast(in)); } template static HWY_INLINE HWY_MAYBE_UNUSED HWY_F16_CONSTEXPR TTo ConvertScalarToResult(hwy::FloatTag /*conv_to_tag*/, float in) { return F16FromF32(in); } template static HWY_INLINE HWY_MAYBE_UNUSED HWY_F16_CONSTEXPR TTo ConvertScalarToResult(hwy::FloatTag /*conv_to_tag*/, double in) { return F16FromF64(in); } template static HWY_INLINE HWY_MAYBE_UNUSED HWY_BF16_CONSTEXPR TTo ConvertScalarToResult(hwy::SpecialTag /*conv_to_tag*/, float in) { return BF16FromF32(in); } template static HWY_INLINE HWY_MAYBE_UNUSED HWY_BF16_CONSTEXPR TTo ConvertScalarToResult(hwy::SpecialTag /*conv_to_tag*/, double in) { return BF16FromF64(in); } template static HWY_INLINE HWY_MAYBE_UNUSED HWY_BF16_CONSTEXPR float ConvertScalarSpecialFloatToF32(hwy::SpecialTag /*conv_from_tag*/, TFrom in) { return F32FromBF16(in); } template static HWY_INLINE HWY_MAYBE_UNUSED HWY_F16_CONSTEXPR float ConvertScalarSpecialFloatToF32(hwy::SpecialTag /*conv_from_tag*/, TFrom in) { return F32FromF16(in); } template static HWY_INLINE HWY_MAYBE_UNUSED constexpr auto ConvertScalarSpecialFloatToF32(hwy::FloatTag /*conv_from_tag*/, TFrom in) -> hwy::If, double>(), double, float> { return static_cast< hwy::If, double>(), double, float>>( in); } template static HWY_INLINE HWY_MAYBE_UNUSED constexpr TFrom ConvertScalarSpecialFloatToF32(hwy::SizeTag<0> /*conv_from_tag*/, TFrom in) { return static_cast(in); } } // namespace detail template HWY_API constexpr TTo ConvertScalarTo(TFrom in) { return detail::ConvertScalarToResult( hwy::SizeTag< (!hwy::IsSame, hwy::RemoveCvRef>() && hwy::IsSpecialFloat()) ? (hwy::IsSame, hwy::bfloat16_t>() ? 0x300 : 0x200) : 0>(), detail::ConvertScalarSpecialFloatToF32( hwy::SizeTag< (!hwy::IsSame, hwy::RemoveCvRef>() && (hwy::IsSpecialFloat() || hwy::IsSpecialFloat())) ? (hwy::IsSpecialFloat() ? 0x300 : 0x200) : 0>(), static_cast(in))); } //------------------------------------------------------------------------------ // Helper functions template constexpr inline T1 DivCeil(T1 a, T2 b) { #if HWY_CXX_LANG >= 201703L HWY_DASSERT(b != 0); #endif return (a + b - 1) / b; } // Works for any non-zero `align`; if a power of two, compiler emits ADD+AND. constexpr inline size_t RoundUpTo(size_t what, size_t align) { return DivCeil(what, align) * align; } // Works for any `align`; if a power of two, compiler emits AND. constexpr inline size_t RoundDownTo(size_t what, size_t align) { return what - (what % align); } namespace detail { // T is unsigned or T is signed and (val >> shift_amt) is an arithmetic right // shift template static HWY_INLINE constexpr T ScalarShr(hwy::UnsignedTag /*type_tag*/, T val, int shift_amt) { return static_cast(val >> shift_amt); } // T is signed and (val >> shift_amt) is a non-arithmetic right shift template static HWY_INLINE constexpr T ScalarShr(hwy::SignedTag /*type_tag*/, T val, int shift_amt) { using TU = MakeUnsigned>; return static_cast( (val < 0) ? static_cast( ~(static_cast(~static_cast(val)) >> shift_amt)) : static_cast(static_cast(val) >> shift_amt)); } } // namespace detail // If T is an signed integer type, ScalarShr is guaranteed to perform an // arithmetic right shift // Otherwise, if T is an unsigned integer type, ScalarShr is guaranteed to // perform a logical right shift template )> HWY_API constexpr RemoveCvRef ScalarShr(T val, int shift_amt) { using NonCvRefT = RemoveCvRef; return detail::ScalarShr( hwy::SizeTag<((IsSigned() && (LimitsMin() >> (sizeof(T) * 8 - 1)) != static_cast(-1)) ? 0x100 : 0)>(), static_cast(val), shift_amt); } // Undefined results for x == 0. HWY_API size_t Num0BitsBelowLS1Bit_Nonzero32(const uint32_t x) { HWY_DASSERT(x != 0); #if HWY_COMPILER_MSVC unsigned long index; // NOLINT _BitScanForward(&index, x); return index; #else // HWY_COMPILER_MSVC return static_cast(__builtin_ctz(x)); #endif // HWY_COMPILER_MSVC } HWY_API size_t Num0BitsBelowLS1Bit_Nonzero64(const uint64_t x) { HWY_DASSERT(x != 0); #if HWY_COMPILER_MSVC #if HWY_ARCH_X86_64 unsigned long index; // NOLINT _BitScanForward64(&index, x); return index; #else // HWY_ARCH_X86_64 // _BitScanForward64 not available uint32_t lsb = static_cast(x & 0xFFFFFFFF); unsigned long index; // NOLINT if (lsb == 0) { uint32_t msb = static_cast(x >> 32u); _BitScanForward(&index, msb); return 32 + index; } else { _BitScanForward(&index, lsb); return index; } #endif // HWY_ARCH_X86_64 #else // HWY_COMPILER_MSVC return static_cast(__builtin_ctzll(x)); #endif // HWY_COMPILER_MSVC } // Undefined results for x == 0. HWY_API size_t Num0BitsAboveMS1Bit_Nonzero32(const uint32_t x) { HWY_DASSERT(x != 0); #if HWY_COMPILER_MSVC unsigned long index; // NOLINT _BitScanReverse(&index, x); return 31 - index; #else // HWY_COMPILER_MSVC return static_cast(__builtin_clz(x)); #endif // HWY_COMPILER_MSVC } HWY_API size_t Num0BitsAboveMS1Bit_Nonzero64(const uint64_t x) { HWY_DASSERT(x != 0); #if HWY_COMPILER_MSVC #if HWY_ARCH_X86_64 unsigned long index; // NOLINT _BitScanReverse64(&index, x); return 63 - index; #else // HWY_ARCH_X86_64 // _BitScanReverse64 not available const uint32_t msb = static_cast(x >> 32u); unsigned long index; // NOLINT if (msb == 0) { const uint32_t lsb = static_cast(x & 0xFFFFFFFF); _BitScanReverse(&index, lsb); return 63 - index; } else { _BitScanReverse(&index, msb); return 31 - index; } #endif // HWY_ARCH_X86_64 #else // HWY_COMPILER_MSVC return static_cast(__builtin_clzll(x)); #endif // HWY_COMPILER_MSVC } template ), HWY_IF_T_SIZE_ONE_OF(RemoveCvRef, (1 << 1) | (1 << 2) | (1 << 4))> HWY_API size_t PopCount(T x) { uint32_t u32_x = static_cast( static_cast)>>(x)); #if HWY_COMPILER_GCC || HWY_COMPILER_CLANG return static_cast(__builtin_popcountl(u32_x)); #elif HWY_COMPILER_MSVC && HWY_ARCH_X86_32 && defined(__AVX__) return static_cast(_mm_popcnt_u32(u32_x)); #else u32_x -= ((u32_x >> 1) & 0x55555555u); u32_x = (((u32_x >> 2) & 0x33333333u) + (u32_x & 0x33333333u)); u32_x = (((u32_x >> 4) + u32_x) & 0x0F0F0F0Fu); u32_x += (u32_x >> 8); u32_x += (u32_x >> 16); return static_cast(u32_x & 0x3Fu); #endif } template ), HWY_IF_T_SIZE(RemoveCvRef, 8)> HWY_API size_t PopCount(T x) { uint64_t u64_x = static_cast( static_cast)>>(x)); #if HWY_COMPILER_GCC || HWY_COMPILER_CLANG return static_cast(__builtin_popcountll(u64_x)); #elif HWY_COMPILER_MSVC && HWY_ARCH_X86_64 && defined(__AVX__) return _mm_popcnt_u64(u64_x); #elif HWY_COMPILER_MSVC && HWY_ARCH_X86_32 && defined(__AVX__) return _mm_popcnt_u32(static_cast(u64_x & 0xFFFFFFFFu)) + _mm_popcnt_u32(static_cast(u64_x >> 32)); #else u64_x -= ((u64_x >> 1) & 0x5555555555555555ULL); u64_x = (((u64_x >> 2) & 0x3333333333333333ULL) + (u64_x & 0x3333333333333333ULL)); u64_x = (((u64_x >> 4) + u64_x) & 0x0F0F0F0F0F0F0F0FULL); u64_x += (u64_x >> 8); u64_x += (u64_x >> 16); u64_x += (u64_x >> 32); return static_cast(u64_x & 0x7Fu); #endif } // Skip HWY_API due to GCC "function not considered for inlining". Previously // such errors were caused by underlying type mismatches, but it's not clear // what is still mismatched despite all the casts. template /*HWY_API*/ constexpr size_t FloorLog2(TI x) { return x == TI{1} ? 0 : static_cast(FloorLog2(static_cast(x >> 1)) + 1); } template /*HWY_API*/ constexpr size_t CeilLog2(TI x) { return x == TI{1} ? 0 : static_cast(FloorLog2(static_cast(x - 1)) + 1); } template HWY_INLINE constexpr T AddWithWraparound(T t, T2 increment) { return t + static_cast(increment); } template HWY_INLINE constexpr T AddWithWraparound(T t, T2 increment) { return ConvertScalarTo(ConvertScalarTo(t) + ConvertScalarTo(increment)); } template HWY_INLINE constexpr T AddWithWraparound(T t, T2 n) { using TU = MakeUnsigned; // Sub-int types would promote to int, not unsigned, which would trigger // warnings, so first promote to the largest unsigned type. Due to // https://gcc.gnu.org/bugzilla/show_bug.cgi?id=87519, which affected GCC 8 // until fixed in 9.3, we use built-in types rather than uint64_t. return static_cast(static_cast( static_cast(static_cast(t) + static_cast(n)) & uint64_t{hwy::LimitsMax()})); } #if HWY_COMPILER_MSVC && HWY_ARCH_X86_64 #pragma intrinsic(_mul128) #pragma intrinsic(_umul128) #endif // 64 x 64 = 128 bit multiplication HWY_API uint64_t Mul128(uint64_t a, uint64_t b, uint64_t* HWY_RESTRICT upper) { #if defined(__SIZEOF_INT128__) __uint128_t product = (__uint128_t)a * (__uint128_t)b; *upper = (uint64_t)(product >> 64); return (uint64_t)(product & 0xFFFFFFFFFFFFFFFFULL); #elif HWY_COMPILER_MSVC && HWY_ARCH_X86_64 return _umul128(a, b, upper); #else constexpr uint64_t kLo32 = 0xFFFFFFFFU; const uint64_t lo_lo = (a & kLo32) * (b & kLo32); const uint64_t hi_lo = (a >> 32) * (b & kLo32); const uint64_t lo_hi = (a & kLo32) * (b >> 32); const uint64_t hi_hi = (a >> 32) * (b >> 32); const uint64_t t = (lo_lo >> 32) + (hi_lo & kLo32) + lo_hi; *upper = (hi_lo >> 32) + (t >> 32) + hi_hi; return (t << 32) | (lo_lo & kLo32); #endif } HWY_API int64_t Mul128(int64_t a, int64_t b, int64_t* HWY_RESTRICT upper) { #if defined(__SIZEOF_INT128__) __int128_t product = (__int128_t)a * (__int128_t)b; *upper = (int64_t)(product >> 64); return (int64_t)(product & 0xFFFFFFFFFFFFFFFFULL); #elif HWY_COMPILER_MSVC && HWY_ARCH_X86_64 return _mul128(a, b, upper); #else uint64_t unsigned_upper; const int64_t lower = static_cast(Mul128( static_cast(a), static_cast(b), &unsigned_upper)); *upper = static_cast( unsigned_upper - (static_cast(ScalarShr(a, 63)) & static_cast(b)) - (static_cast(ScalarShr(b, 63)) & static_cast(a))); return lower; #endif } // Precomputation for fast n / divisor and n % divisor, where n is a variable // and divisor is unchanging but unknown at compile-time. class Divisor { public: explicit Divisor(uint32_t divisor) : divisor_(divisor) { if (divisor <= 1) return; const uint32_t len = static_cast(31 - Num0BitsAboveMS1Bit_Nonzero32(divisor - 1)); const uint64_t u_hi = (2ULL << len) - divisor; const uint32_t q = Truncate((u_hi << 32) / divisor); mul_ = q + 1; shift1_ = 1; shift2_ = len; } uint32_t GetDivisor() const { return divisor_; } // Returns n / divisor_. uint32_t Divide(uint32_t n) const { const uint64_t mul = mul_; const uint32_t t = Truncate((mul * n) >> 32); return (t + ((n - t) >> shift1_)) >> shift2_; } // Returns n % divisor_. uint32_t Remainder(uint32_t n) const { return n - (Divide(n) * divisor_); } private: static uint32_t Truncate(uint64_t x) { return static_cast(x & 0xFFFFFFFFu); } uint32_t divisor_; uint32_t mul_ = 1; uint32_t shift1_ = 0; uint32_t shift2_ = 0; }; #ifndef HWY_HAVE_DIV128 // allow override // Exclude clang-cl because it calls __divti3 from clang_rt.builtins-x86_64, // which is not linked in. #if (HWY_COMPILER_MSVC >= 1920 && HWY_ARCH_X86_64) || \ (defined(__SIZEOF_INT128__) && !HWY_COMPILER_CLANGCL) #define HWY_HAVE_DIV128 1 #else #define HWY_HAVE_DIV128 0 #endif #endif // HWY_HAVE_DIV128 // Divisor64 can precompute the multiplicative inverse. #if HWY_HAVE_DIV128 #if HWY_COMPILER_MSVC >= 1920 && HWY_ARCH_X86_64 #pragma intrinsic(_udiv128) #pragma intrinsic(__umulh) #endif // As above, but for 64-bit divisors: more expensive to compute and initialize. class Divisor64 { public: explicit Divisor64(uint64_t divisor) : divisor_(divisor) { if (divisor <= 1) return; const uint64_t len = static_cast(63 - Num0BitsAboveMS1Bit_Nonzero64(divisor - 1)); const uint64_t u_hi = (2ULL << len) - divisor; const uint64_t q = Div128(u_hi, divisor); mul_ = q + 1; shift1_ = 1; shift2_ = len; } uint64_t GetDivisor() const { return divisor_; } // Returns n / divisor_. uint64_t Divide(uint64_t n) const { const uint64_t t = MulHigh(mul_, n); return (t + ((n - t) >> shift1_)) >> shift2_; } // Returns n % divisor_. uint64_t Remainder(uint64_t n) const { return n - (Divide(n) * divisor_); } private: uint64_t divisor_; static uint64_t Div128(uint64_t hi, uint64_t div) { #if HWY_COMPILER_MSVC >= 1920 && HWY_ARCH_X86_64 unsigned __int64 remainder; // unused return _udiv128(hi, uint64_t{0}, div, &remainder); #else using u128 = unsigned __int128; const u128 hi128 = static_cast(hi) << 64; return static_cast(hi128 / static_cast(div)); #endif } static uint64_t MulHigh(uint64_t a, uint64_t b) { #if HWY_COMPILER_MSVC >= 1920 && HWY_ARCH_X86_64 return __umulh(a, b); #else using u128 = unsigned __int128; const u128 a128 = static_cast(a); const u128 b128 = static_cast(b); return static_cast((a128 * b128) >> 64); #endif } uint64_t mul_ = 1; uint64_t shift1_ = 0; uint64_t shift2_ = 0; }; #else // No Div128 available, use built-in 64-bit division on each call. class Divisor64 { public: explicit Divisor64(uint64_t divisor) : divisor_(divisor) {} uint64_t GetDivisor() const { return divisor_; } uint64_t Divide(uint64_t n) const { return n / divisor_; } uint64_t Remainder(uint64_t n) const { return n % divisor_; } private: uint64_t divisor_; }; #endif // HWY_HAVE_DIV128 namespace detail { template static HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR T ScalarAbs(hwy::FloatTag /*tag*/, T val) { using TU = MakeUnsigned; return BitCastScalar( static_cast(BitCastScalar(val) & (~SignMask()))); } template static HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR T ScalarAbs(hwy::SpecialTag /*tag*/, T val) { return ScalarAbs(hwy::FloatTag(), val); } template static HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR T ScalarAbs(hwy::SignedTag /*tag*/, T val) { using TU = MakeUnsigned; return (val < T{0}) ? static_cast(TU{0} - static_cast(val)) : val; } template static HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR T ScalarAbs(hwy::UnsignedTag /*tag*/, T val) { return val; } } // namespace detail template HWY_API HWY_BITCASTSCALAR_CONSTEXPR RemoveCvRef ScalarAbs(T val) { using TVal = MakeLaneTypeIfInteger< detail::NativeSpecialFloatToWrapper>>; return detail::ScalarAbs(hwy::TypeTag(), static_cast(val)); } template HWY_API HWY_BITCASTSCALAR_CONSTEXPR bool ScalarIsNaN(T val) { using TF = detail::NativeSpecialFloatToWrapper>; using TU = MakeUnsigned; return (BitCastScalar(ScalarAbs(val)) > ExponentMask()); } template HWY_API HWY_BITCASTSCALAR_CONSTEXPR bool ScalarIsInf(T val) { using TF = detail::NativeSpecialFloatToWrapper>; using TU = MakeUnsigned; return static_cast(BitCastScalar(static_cast(val)) << 1) == static_cast(MaxExponentTimes2()); } namespace detail { template static HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR bool ScalarIsFinite( hwy::FloatTag /*tag*/, T val) { using TU = MakeUnsigned; return (BitCastScalar(hwy::ScalarAbs(val)) < ExponentMask()); } template static HWY_INLINE HWY_BITCASTSCALAR_CONSTEXPR bool ScalarIsFinite( hwy::NonFloatTag /*tag*/, T /*val*/) { // Integer values are always finite return true; } } // namespace detail template HWY_API HWY_BITCASTSCALAR_CONSTEXPR bool ScalarIsFinite(T val) { using TVal = MakeLaneTypeIfInteger< detail::NativeSpecialFloatToWrapper>>; return detail::ScalarIsFinite(hwy::IsFloatTag(), static_cast(val)); } template HWY_API HWY_BITCASTSCALAR_CONSTEXPR RemoveCvRef ScalarCopySign(T magn, T sign) { using TF = RemoveCvRef>>; using TU = MakeUnsigned; return BitCastScalar(static_cast( (BitCastScalar(static_cast(magn)) & (~SignMask())) | (BitCastScalar(static_cast(sign)) & SignMask()))); } template HWY_API HWY_BITCASTSCALAR_CONSTEXPR bool ScalarSignBit(T val) { using TVal = MakeLaneTypeIfInteger< detail::NativeSpecialFloatToWrapper>>; using TU = MakeUnsigned; return ((BitCastScalar(static_cast(val)) & SignMask()) != 0); } // Prevents the compiler from eliding the computations that led to "output". #if HWY_ARCH_PPC && (HWY_COMPILER_GCC || HWY_COMPILER_CLANG) && \ !defined(_SOFT_FLOAT) // Workaround to avoid test failures on PPC if compiled with Clang template HWY_API void PreventElision(T&& output) { asm volatile("" : "+f"(output)::"memory"); } template HWY_API void PreventElision(T&& output) { asm volatile("" : "+d"(output)::"memory"); } template HWY_API void PreventElision(T&& output) { asm volatile("" : "+r"(output)::"memory"); } #else template HWY_API void PreventElision(T&& output) { #if HWY_COMPILER_MSVC // MSVC does not support inline assembly anymore (and never supported GCC's // RTL constraints). Self-assignment with #pragma optimize("off") might be // expected to prevent elision, but it does not with MSVC 2015. Type-punning // with volatile pointers generates inefficient code on MSVC 2017. static std::atomic> sink; sink.store(output, std::memory_order_relaxed); #else // Works by indicating to the compiler that "output" is being read and // modified. The +r constraint avoids unnecessary writes to memory, but only // works for built-in types (typically FuncOutput). asm volatile("" : "+r"(output) : : "memory"); #endif } #endif } // namespace hwy #endif // HIGHWAY_HWY_BASE_H_ highway-1.3.0/hwy/base_test.cc000066400000000000000000001166261504730760100162610ustar00rootroot00000000000000// Copyright 2019 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include "hwy/base.h" #include #include "hwy/nanobenchmark.h" #undef HWY_TARGET_INCLUDE #define HWY_TARGET_INCLUDE "base_test.cc" #include "hwy/foreach_target.h" // IWYU pragma: keep #include "hwy/highway.h" #include "hwy/tests/test_util-inl.h" HWY_BEFORE_NAMESPACE(); namespace hwy { namespace HWY_NAMESPACE { namespace { HWY_NOINLINE void TestUnreachable() { if (!hwy::Unpredictable1()) { HWY_UNREACHABLE; } } HWY_NOINLINE void TestAllLimits() { HWY_ASSERT_EQ(uint8_t{0}, LimitsMin()); HWY_ASSERT_EQ(uint16_t{0}, LimitsMin()); HWY_ASSERT_EQ(uint32_t{0}, LimitsMin()); HWY_ASSERT_EQ(uint64_t{0}, LimitsMin()); HWY_ASSERT_EQ(int8_t{-128}, LimitsMin()); HWY_ASSERT_EQ(int16_t{-32768}, LimitsMin()); HWY_ASSERT_EQ(static_cast(0x80000000u), LimitsMin()); HWY_ASSERT_EQ(static_cast(0x8000000000000000ull), LimitsMin()); HWY_ASSERT_EQ(uint8_t{0xFF}, LimitsMax()); HWY_ASSERT_EQ(uint16_t{0xFFFF}, LimitsMax()); HWY_ASSERT_EQ(uint32_t{0xFFFFFFFFu}, LimitsMax()); HWY_ASSERT_EQ(uint64_t{0xFFFFFFFFFFFFFFFFull}, LimitsMax()); HWY_ASSERT_EQ(int8_t{0x7F}, LimitsMax()); HWY_ASSERT_EQ(int16_t{0x7FFF}, LimitsMax()); HWY_ASSERT_EQ(int32_t{0x7FFFFFFFu}, LimitsMax()); HWY_ASSERT_EQ(int64_t{0x7FFFFFFFFFFFFFFFull}, LimitsMax()); HWY_ASSERT(LimitsMin() == LimitsMin()); HWY_ASSERT(LimitsMin() <= LimitsMin()); // NOLINT HWY_ASSERT(LimitsMin() <= LimitsMin()); HWY_ASSERT(LimitsMin() <= LimitsMin()); // NOLINT HWY_ASSERT(LimitsMin() <= LimitsMin()); // NOLINT HWY_ASSERT(LimitsMax() == LimitsMax()); HWY_ASSERT(LimitsMax() >= LimitsMax()); // NOLINT HWY_ASSERT(LimitsMax() >= LimitsMax()); HWY_ASSERT(LimitsMax() >= LimitsMax()); // NOLINT HWY_ASSERT(LimitsMax() >= LimitsMax()); // NOLINT HWY_ASSERT_EQ(static_cast(0), LimitsMin()); HWY_ASSERT_EQ(static_cast(0), LimitsMin()); HWY_ASSERT_EQ(0u, LimitsMin()); HWY_ASSERT_EQ(0ul, LimitsMin()); // NOLINT HWY_ASSERT_EQ(0ull, LimitsMin()); // NOLINT HWY_ASSERT(LimitsMax() == LimitsMax()); HWY_ASSERT(LimitsMax() >= LimitsMax()); // NOLINT HWY_ASSERT(LimitsMax() >= LimitsMax()); HWY_ASSERT(LimitsMax() >= LimitsMax()); // NOLINT // NOLINTNEXTLINE HWY_ASSERT(LimitsMax() >= LimitsMax()); HWY_ASSERT(LimitsMin() == 0 || LimitsMin() == LimitsMin()); HWY_ASSERT(LimitsMax() == LimitsMax() || LimitsMax() == LimitsMax()); HWY_ASSERT_EQ(size_t{0}, LimitsMin()); HWY_ASSERT(LimitsMin() < ptrdiff_t{0}); HWY_ASSERT(LimitsMin() < intptr_t{0}); HWY_ASSERT_EQ(uintptr_t{0}, LimitsMin()); HWY_ASSERT(LimitsMin() <= wchar_t{0}); HWY_ASSERT(LimitsMax() > size_t{0}); HWY_ASSERT(LimitsMax() > ptrdiff_t{0}); HWY_ASSERT(LimitsMax() > intptr_t{0}); HWY_ASSERT(LimitsMax() > uintptr_t{0}); HWY_ASSERT(LimitsMax() > wchar_t{0}); } struct TestLowestHighest { template HWY_NOINLINE void operator()(T /*unused*/) const { // numeric_limits::lowest is only guaranteed to be what we expect (-max) // for built-in floating-point types. if (!IsSpecialFloat()) { HWY_ASSERT_EQ(std::numeric_limits::lowest(), LowestValue()); HWY_ASSERT_EQ(std::numeric_limits::max(), HighestValue()); if (IsFloat()) { HWY_ASSERT(ScalarSignBit(NegativeInfOrLowestValue())); HWY_ASSERT(!ScalarIsFinite(NegativeInfOrLowestValue())); HWY_ASSERT(!ScalarSignBit(PositiveInfOrHighestValue())); HWY_ASSERT(!ScalarIsFinite(PositiveInfOrHighestValue())); HWY_ASSERT(NegativeInfOrLowestValue() < std::numeric_limits::lowest()); HWY_ASSERT(PositiveInfOrHighestValue() > std::numeric_limits::max()); } else { HWY_ASSERT_EQ(std::numeric_limits::lowest(), NegativeInfOrLowestValue()); HWY_ASSERT_EQ(std::numeric_limits::max(), PositiveInfOrHighestValue()); } } } }; HWY_NOINLINE void TestAllLowestHighest() { ForAllTypes(TestLowestHighest()); } struct TestIsUnsigned { template HWY_NOINLINE void operator()(T /*unused*/) const { static_assert(!IsFloat(), "Expected !IsFloat"); static_assert(!IsSigned(), "Expected !IsSigned"); static_assert(IsUnsigned(), "Expected IsUnsigned"); static_assert(IsInteger(), "Expected IsInteger"); } }; struct TestIsSigned { template HWY_NOINLINE void operator()(T /*unused*/) const { static_assert(!IsFloat(), "Expected !IsFloat"); static_assert(IsSigned(), "Expected IsSigned"); static_assert(!IsUnsigned(), "Expected !IsUnsigned"); static_assert(IsInteger(), "Expected IsInteger"); } }; struct TestIsFloat { template HWY_NOINLINE void operator()(T /*unused*/) const { static_assert(IsFloat(), "Expected IsFloat"); static_assert(IsSigned(), "Floats are also considered signed"); static_assert(!IsUnsigned(), "Expected !IsUnsigned"); static_assert(!IsInteger(), "Expected !IsInteger"); } }; HWY_NOINLINE void TestAllType() { const TestIsUnsigned is_unsigned_test; const TestIsSigned is_signed_test; ForUnsignedTypes(is_unsigned_test); ForSignedTypes(is_signed_test); ForFloatTypes(TestIsFloat()); is_unsigned_test(static_cast(0)); is_unsigned_test(static_cast(0)); is_unsigned_test(0u); is_unsigned_test(0ul); is_unsigned_test(0ull); is_unsigned_test(size_t{0}); is_unsigned_test(uintptr_t{0}); is_signed_test(static_cast(0)); is_signed_test(static_cast(0)); is_signed_test(0); is_signed_test(0L); is_signed_test(0LL); is_signed_test(ptrdiff_t{0}); is_signed_test(intptr_t{0}); static_assert(!IsFloat(), "Expected !IsFloat()"); static_assert(!IsFloat(), "Expected !IsFloat()"); static_assert(IsInteger(), "Expected IsInteger()"); static_assert(IsInteger(), "Expected IsInteger()"); static_assert(sizeof(MakeUnsigned) == 16, ""); static_assert(sizeof(MakeWide) == 16, "Expected uint128_t"); static_assert(sizeof(MakeNarrow) == 8, "Expected uint64_t"); } struct TestIsSame { template HWY_NOINLINE void operator()(T /*unused*/) const { static_assert(IsSame(), "T == T"); static_assert(!IsSame, MakeUnsigned>(), "S != U"); static_assert(!IsSame, MakeSigned>(), "U != S"); } }; HWY_NOINLINE void TestAllIsSame() { ForAllTypes(TestIsSame()); } HWY_NOINLINE void TestAllBitScan() { HWY_ASSERT_EQ(size_t{0}, Num0BitsAboveMS1Bit_Nonzero32(0x80000000u)); HWY_ASSERT_EQ(size_t{0}, Num0BitsAboveMS1Bit_Nonzero32(0xFFFFFFFFu)); HWY_ASSERT_EQ(size_t{1}, Num0BitsAboveMS1Bit_Nonzero32(0x40000000u)); HWY_ASSERT_EQ(size_t{1}, Num0BitsAboveMS1Bit_Nonzero32(0x40108210u)); HWY_ASSERT_EQ(size_t{30}, Num0BitsAboveMS1Bit_Nonzero32(2u)); HWY_ASSERT_EQ(size_t{30}, Num0BitsAboveMS1Bit_Nonzero32(3u)); HWY_ASSERT_EQ(size_t{31}, Num0BitsAboveMS1Bit_Nonzero32(1u)); HWY_ASSERT_EQ(size_t{0}, Num0BitsAboveMS1Bit_Nonzero64(0x8000000000000000ull)); HWY_ASSERT_EQ(size_t{0}, Num0BitsAboveMS1Bit_Nonzero64(0xFFFFFFFFFFFFFFFFull)); HWY_ASSERT_EQ(size_t{1}, Num0BitsAboveMS1Bit_Nonzero64(0x4000000000000000ull)); HWY_ASSERT_EQ(size_t{1}, Num0BitsAboveMS1Bit_Nonzero64(0x4010821004200011ull)); HWY_ASSERT_EQ(size_t{62}, Num0BitsAboveMS1Bit_Nonzero64(2ull)); HWY_ASSERT_EQ(size_t{62}, Num0BitsAboveMS1Bit_Nonzero64(3ull)); HWY_ASSERT_EQ(size_t{63}, Num0BitsAboveMS1Bit_Nonzero64(1ull)); HWY_ASSERT_EQ(size_t{0}, Num0BitsBelowLS1Bit_Nonzero32(1u)); HWY_ASSERT_EQ(size_t{1}, Num0BitsBelowLS1Bit_Nonzero32(2u)); HWY_ASSERT_EQ(size_t{30}, Num0BitsBelowLS1Bit_Nonzero32(0xC0000000u)); HWY_ASSERT_EQ(size_t{31}, Num0BitsBelowLS1Bit_Nonzero32(0x80000000u)); HWY_ASSERT_EQ(size_t{0}, Num0BitsBelowLS1Bit_Nonzero64(1ull)); HWY_ASSERT_EQ(size_t{1}, Num0BitsBelowLS1Bit_Nonzero64(2ull)); HWY_ASSERT_EQ(size_t{62}, Num0BitsBelowLS1Bit_Nonzero64(0xC000000000000000ull)); HWY_ASSERT_EQ(size_t{63}, Num0BitsBelowLS1Bit_Nonzero64(0x8000000000000000ull)); } HWY_NOINLINE void TestAllPopCount() { HWY_ASSERT_EQ(size_t{0}, PopCount(0u)); HWY_ASSERT_EQ(size_t{1}, PopCount(1u)); HWY_ASSERT_EQ(size_t{1}, PopCount(2u)); HWY_ASSERT_EQ(size_t{2}, PopCount(3u)); HWY_ASSERT_EQ(size_t{1}, PopCount(0x80000000u)); HWY_ASSERT_EQ(size_t{31}, PopCount(0x7FFFFFFFu)); HWY_ASSERT_EQ(size_t{32}, PopCount(0xFFFFFFFFu)); HWY_ASSERT_EQ(size_t{1}, PopCount(0x80000000ull)); HWY_ASSERT_EQ(size_t{31}, PopCount(0x7FFFFFFFull)); HWY_ASSERT_EQ(size_t{32}, PopCount(0xFFFFFFFFull)); HWY_ASSERT_EQ(size_t{33}, PopCount(0x10FFFFFFFFull)); HWY_ASSERT_EQ(size_t{63}, PopCount(0xFFFEFFFFFFFFFFFFull)); HWY_ASSERT_EQ(size_t{64}, PopCount(0xFFFFFFFFFFFFFFFFull)); } // Exhaustive test for small/large dividends and divisors HWY_NOINLINE void TestAllDivisor() { // Small d, small n for (uint32_t d = 1; d < 256; ++d) { const Divisor divisor(d); for (uint32_t n = 0; n < 256; ++n) { HWY_ASSERT(divisor.Divide(n) == n / d); HWY_ASSERT(divisor.Remainder(n) == n % d); } } // Large d, small n for (uint32_t d = 0xFFFFFF00u; d != 0; ++d) { const Divisor divisor(d); for (uint32_t n = 0; n < 256; ++n) { HWY_ASSERT(divisor.Divide(n) == n / d); HWY_ASSERT(divisor.Remainder(n) == n % d); } } // Small d, large n for (uint32_t d = 1; d < 256; ++d) { const Divisor divisor(d); for (uint32_t n = 0xFFFFFF00u; n != 0; ++n) { HWY_ASSERT(divisor.Divide(n) == n / d); HWY_ASSERT(divisor.Remainder(n) == n % d); } } // Large d, large n for (uint32_t d = 0xFFFFFF00u; d != 0; ++d) { const Divisor divisor(d); for (uint32_t n = 0xFFFFFF00u; n != 0; ++n) { HWY_ASSERT(divisor.Divide(n) == n / d); HWY_ASSERT(divisor.Remainder(n) == n % d); } } } HWY_NOINLINE void TestAllDivisor64() { // Small d, small n for (uint64_t d = 1; d < 256; ++d) { const Divisor64 divisor(d); for (uint64_t n = 0; n < 256; ++n) { HWY_ASSERT(divisor.Divide(n) == n / d); HWY_ASSERT(divisor.Remainder(n) == n % d); } } // Large d, small n for (uint64_t d = 0xFFFFFFFFFFFFFF00ULL; d != 0; ++d) { const Divisor64 divisor(d); for (uint64_t n = 0; n < 256; ++n) { HWY_ASSERT(divisor.Divide(n) == n / d); HWY_ASSERT(divisor.Remainder(n) == n % d); } } // Small d, large n for (uint64_t d = 1; d < 256; ++d) { const Divisor64 divisor(d); for (uint64_t n = 0xFFFFFFFFFFFFFF00ULL; n != 0; ++n) { HWY_ASSERT(divisor.Divide(n) == n / d); HWY_ASSERT(divisor.Remainder(n) == n % d); } } // Large d, large n for (uint64_t d = 0xFFFFFFFFFFFFFF00ULL; d != 0; ++d) { const Divisor64 divisor(d); for (uint64_t n = 0xFFFFFFFFFFFFFF00ULL; n != 0; ++n) { HWY_ASSERT(divisor.Divide(n) == n / d); HWY_ASSERT(divisor.Remainder(n) == n % d); } } } struct TestScalarShr { template HWY_NOINLINE void operator()(T /*unused*/) const { using TU = MakeUnsigned; constexpr T kMsb = static_cast(1ULL << (sizeof(T) * 8 - 1)); constexpr int kSizeInBits = static_cast(sizeof(T) * 8); constexpr T kVal1 = static_cast(0x776B0405296C183BULL & LimitsMax()); constexpr T kVal2 = static_cast(kVal1 | kMsb); for (int i = 0; i < kSizeInBits; i++) { T expected1; T expected2; const TU expected1_bits = static_cast(static_cast(kVal1) >> i); const TU expected2_bits = static_cast( (static_cast(kVal2) >> i) | ((IsSigned() && i > 0) ? (~((static_cast(1) << (kSizeInBits - i)) - 1)) : 0)); CopySameSize(&expected1_bits, &expected1); CopySameSize(&expected2_bits, &expected2); HWY_ASSERT_EQ(expected1, ScalarShr(kVal1, i)); HWY_ASSERT_EQ(expected2, ScalarShr(kVal2, i)); } } }; HWY_NOINLINE void TestAllScalarShr() { ForIntegerTypes(TestScalarShr()); } template static HWY_INLINE void AssertMul128Result(T expected_hi, T expected_lo, T a, T b, const char* file, const int line) { RemoveCvRef actual_hi; const RemoveCvRef actual_lo = Mul128(a, b, &actual_hi); hwy::AssertEqual(expected_lo, actual_lo, hwy::TargetName(HWY_TARGET), file, line); hwy::AssertEqual(expected_hi, actual_hi, hwy::TargetName(HWY_TARGET), file, line); } HWY_NOINLINE void TestAllMul128() { AssertMul128Result(static_cast(0), static_cast(0), static_cast(0), static_cast(0), __FILE__, __LINE__); AssertMul128Result(static_cast(0), static_cast(0), static_cast(0), static_cast(1), __FILE__, __LINE__); AssertMul128Result(static_cast(0), static_cast(0), static_cast(0), static_cast(-1), __FILE__, __LINE__); AssertMul128Result(static_cast(0), static_cast(0), static_cast(1), static_cast(0), __FILE__, __LINE__); AssertMul128Result(static_cast(0), static_cast(0), static_cast(-1), static_cast(0), __FILE__, __LINE__); AssertMul128Result(static_cast(0), static_cast(1), static_cast(1), static_cast(1), __FILE__, __LINE__); AssertMul128Result(static_cast(-1), static_cast(-1), static_cast(-1), static_cast(1), __FILE__, __LINE__); AssertMul128Result(static_cast(-1), static_cast(-1), static_cast(1), static_cast(-1), __FILE__, __LINE__); AssertMul128Result(static_cast(0), static_cast(1), static_cast(-1), static_cast(-1), __FILE__, __LINE__); AssertMul128Result(static_cast(0), static_cast(0), static_cast(0), static_cast(0), __FILE__, __LINE__); AssertMul128Result(static_cast(0), static_cast(0), static_cast(0), static_cast(1), __FILE__, __LINE__); AssertMul128Result(static_cast(0), static_cast(0), static_cast(1), static_cast(0), __FILE__, __LINE__); AssertMul128Result(static_cast(0), static_cast(1), static_cast(1), static_cast(1), __FILE__, __LINE__); AssertMul128Result(static_cast(0x24E331A77C96011DULL), static_cast(0x3C5385F8E294E438ULL), static_cast(0x4F87AE233A08DD18ULL), static_cast(0x76BCCD32975A49CDULL), __FILE__, __LINE__); AssertMul128Result(static_cast(0xFD1F5A95DF919291ULL), static_cast(0x3C5385F8E294E438ULL), static_cast(0x4F87AE233A08DD18ULL), static_cast(0xF6BCCD32975A49CDULL), __FILE__, __LINE__); AssertMul128Result(static_cast(0xE984CB0E30E8DC36ULL), static_cast(0xBC5385F8E294E438ULL), static_cast(0xCF87AE233A08DD18ULL), static_cast(0x76BCCD32975A49CDULL), __FILE__, __LINE__); AssertMul128Result(static_cast(0x01C0F3FC93E46DAAULL), static_cast(0xBC5385F8E294E438ULL), static_cast(0xCF87AE233A08DD18ULL), static_cast(0xF6BCCD32975A49CDULL), __FILE__, __LINE__); AssertMul128Result(static_cast(0x24E331A77C96011DULL), static_cast(0x3C5385F8E294E438ULL), static_cast(0x4F87AE233A08DD18ULL), static_cast(0x76BCCD32975A49CDULL), __FILE__, __LINE__); AssertMul128Result(static_cast(0x4CA708B9199A6FA9ULL), static_cast(0x3C5385F8E294E438ULL), static_cast(0x4F87AE233A08DD18ULL), static_cast(0xF6BCCD32975A49CDULL), __FILE__, __LINE__); AssertMul128Result(static_cast(0x60419840C8432603ULL), static_cast(0xBC5385F8E294E438ULL), static_cast(0xCF87AE233A08DD18ULL), static_cast(0x76BCCD32975A49CDULL), __FILE__, __LINE__); AssertMul128Result(static_cast(0xC8056F526547948FULL), static_cast(0xBC5385F8E294E438ULL), static_cast(0xCF87AE233A08DD18ULL), static_cast(0xF6BCCD32975A49CDULL), __FILE__, __LINE__); } template static HWY_INLINE T TestEndianGetIntegerVal(T val) { static_assert(!IsFloat() && !IsSpecialFloat(), "T must not be a floating-point type"); using TU = MakeUnsigned; static_assert(sizeof(T) == sizeof(TU), "sizeof(T) == sizeof(TU) must be true"); uint8_t result_bytes[sizeof(T)]; const TU val_u = static_cast(val); for (size_t i = 0; i < sizeof(T); i++) { #if HWY_IS_BIG_ENDIAN const size_t shift_amt = (sizeof(T) - 1 - i) * 8; #else const size_t shift_amt = i * 8; #endif result_bytes[i] = static_cast((val_u >> shift_amt) & 0xFF); } T result; CopyBytes(result_bytes, &result); return result; } template static HWY_INLINE T TestEndianCreateValueFromBytes(Bytes&&... bytes) { static_assert(sizeof(T) > 0, "sizeof(T) > 0 must be true"); static_assert(sizeof...(Bytes) == sizeof(T), "sizeof...(Bytes) == sizeof(T) must be true"); const uint8_t src_bytes[sizeof(T)]{static_cast(bytes)...}; T result; CopyBytes(src_bytes, &result); return result; } #define HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(val) \ HWY_ASSERT_EQ(val, TestEndianGetIntegerVal(val)) HWY_NOINLINE void TestAllEndian() { HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(int8_t{0x01}); HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(uint8_t{0x01}); HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(int16_t{0x0102}); HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(uint16_t{0x0102}); HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(int32_t{0x01020304}); HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(uint32_t{0x01020304}); HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(int64_t{0x0102030405060708}); HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(uint64_t{0x0102030405060708}); HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(int16_t{0x0201}); HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(uint16_t{0x0201}); HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(int32_t{0x04030201}); HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(uint32_t{0x04030201}); HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(int64_t{0x0807060504030201}); HWY_TEST_ENDIAN_CHECK_INTEGER_VAL(uint64_t{0x0807060504030201}); HWY_ASSERT_EQ(HWY_IS_BIG_ENDIAN ? int16_t{0x0102} : int16_t{0x0201}, TestEndianCreateValueFromBytes(0x01, 0x02)); HWY_ASSERT_EQ(HWY_IS_BIG_ENDIAN ? uint16_t{0x0102} : uint16_t{0x0201}, TestEndianCreateValueFromBytes(0x01, 0x02)); HWY_ASSERT_EQ( HWY_IS_BIG_ENDIAN ? int32_t{0x01020304} : int32_t{0x04030201}, TestEndianCreateValueFromBytes(0x01, 0x02, 0x03, 0x04)); HWY_ASSERT_EQ( HWY_IS_BIG_ENDIAN ? uint32_t{0x01020304} : uint32_t{0x04030201}, TestEndianCreateValueFromBytes(0x01, 0x02, 0x03, 0x04)); HWY_ASSERT_EQ(HWY_IS_BIG_ENDIAN ? int64_t{0x0102030405060708} : int64_t{0x0807060504030201}, TestEndianCreateValueFromBytes( 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08)); HWY_ASSERT_EQ(HWY_IS_BIG_ENDIAN ? uint64_t{0x0102030405060708} : uint64_t{0x0807060504030201}, TestEndianCreateValueFromBytes( 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08)); HWY_ASSERT_EQ(HWY_IS_BIG_ENDIAN ? int16_t{-0x5EFE} : int16_t{0x02A1}, TestEndianCreateValueFromBytes(0xA1, 0x02)); HWY_ASSERT_EQ( HWY_IS_BIG_ENDIAN ? int32_t{-0x5E4D3CFC} : int32_t{0x04C3B2A1}, TestEndianCreateValueFromBytes(0xA1, 0xB2, 0xC3, 0x04)); HWY_ASSERT_EQ(HWY_IS_BIG_ENDIAN ? int64_t{-0x6E5D4C3B2A1908F8} : int64_t{0x08F7E6D5C4B3A291}, TestEndianCreateValueFromBytes( 0x91, 0xA2, 0xB3, 0xC4, 0xD5, 0xE6, 0xF7, 0x08)); HWY_ASSERT_EQ(HWY_IS_LITTLE_ENDIAN ? int16_t{-0x5DFF} : int16_t{0x01A2}, TestEndianCreateValueFromBytes(0x01, 0xA2)); HWY_ASSERT_EQ( HWY_IS_LITTLE_ENDIAN ? int32_t{-0x3B4C5DFF} : int32_t{0x01A2B3C4}, TestEndianCreateValueFromBytes(0x01, 0xA2, 0xB3, 0xC4)); HWY_ASSERT_EQ(HWY_IS_LITTLE_ENDIAN ? int64_t{-0x0718293A4B5C6DFF} : int64_t{0x0192A3B4C5D6E7F8}, TestEndianCreateValueFromBytes( 0x01, 0x92, 0xA3, 0xB4, 0xC5, 0xD6, 0xE7, 0xF8)); #if HWY_IS_BIG_ENDIAN HWY_ASSERT_EQ(1.0f, TestEndianCreateValueFromBytes(0x3F, 0x80, 0x00, 0x00)); HWY_ASSERT_EQ(15922433.0f, TestEndianCreateValueFromBytes(0x4B, 0x72, 0xF5, 0x01)); HWY_ASSERT_EQ(-12357485.0f, TestEndianCreateValueFromBytes(0xCB, 0x3C, 0x8F, 0x6D)); #else HWY_ASSERT_EQ(1.0f, TestEndianCreateValueFromBytes(0x00, 0x00, 0x80, 0x3F)); HWY_ASSERT_EQ(15922433.0f, TestEndianCreateValueFromBytes(0x01, 0xF5, 0x72, 0x4B)); HWY_ASSERT_EQ(-12357485.0f, TestEndianCreateValueFromBytes(0x6D, 0x8F, 0x3C, 0xCB)); #endif #if HWY_HAVE_FLOAT64 #if HWY_IS_BIG_ENDIAN HWY_ASSERT_EQ(1.0, TestEndianCreateValueFromBytes( 0x3F, 0xF0, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00)); HWY_ASSERT_EQ(8707235690688195.0, TestEndianCreateValueFromBytes(0x43, 0x3E, 0xEF, 0x2F, 0x4A, 0x51, 0xAE, 0xC3)); HWY_ASSERT_EQ(-6815854340348452.0, TestEndianCreateValueFromBytes(0xC3, 0x38, 0x36, 0xFB, 0xC0, 0xCC, 0x1A, 0x24)); #else HWY_ASSERT_EQ(1.0, TestEndianCreateValueFromBytes( 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xF0, 0x3F)); HWY_ASSERT_EQ(8707235690688195.0, TestEndianCreateValueFromBytes(0xC3, 0xAE, 0x51, 0x4A, 0x2F, 0xEF, 0x3E, 0x43)); HWY_ASSERT_EQ(-6815854340348452.0, TestEndianCreateValueFromBytes(0x24, 0x1A, 0xCC, 0xC0, 0xFB, 0x36, 0x38, 0xC3)); #endif // HWY_IS_BIG_ENDIAN #endif // HWY_HAVE_FLOAT64 #if HWY_IS_BIG_ENDIAN HWY_ASSERT_EQ(ConvertScalarTo(1.0f), BitCastScalar( TestEndianCreateValueFromBytes(0x3F, 0x80))); HWY_ASSERT_EQ(ConvertScalarTo(0.333984375f), BitCastScalar( TestEndianCreateValueFromBytes(0x3E, 0xAB))); HWY_ASSERT_EQ(ConvertScalarTo(167121905303526337111381770240.0f), BitCastScalar( TestEndianCreateValueFromBytes(0x70, 0x07))); #else HWY_ASSERT_EQ(ConvertScalarTo(1.0f), BitCastScalar( TestEndianCreateValueFromBytes(0x80, 0x3F))); HWY_ASSERT_EQ(ConvertScalarTo(0.333984375f), BitCastScalar( TestEndianCreateValueFromBytes(0xAB, 0x3E))); HWY_ASSERT_EQ(ConvertScalarTo(167121905303526337111381770240.0f), BitCastScalar( TestEndianCreateValueFromBytes(0x07, 0x70))); #endif } struct TestSpecialFloat { template static constexpr bool EnableSpecialFloatArithOpTest() { return (hwy::IsSame() && HWY_HAVE_SCALAR_F16_OPERATORS) || (hwy::IsSame() && HWY_HAVE_SCALAR_BF16_OPERATORS); } template static constexpr HWY_INLINE T EnsureNotNativeSpecialFloat(T&& val) { #if HWY_HAVE_SCALAR_F16_TYPE static_assert(!hwy::IsSame, float16_t::Native>(), "The operator must not return a float16_t::Native"); #endif #if HWY_HAVE_SCALAR_BF16_TYPE static_assert(!hwy::IsSame, bfloat16_t::Native>(), "The operator must not return a bfloat16_t::Native"); #endif return static_cast(val); } template static HWY_INLINE void AssertSpecialFloatOpResultInRange(float min_expected, float max_expected, T actual, const char* filename, const int line) { if (!(actual >= min_expected && actual <= max_expected)) { hwy::Abort( filename, line, "mismatch: value was expected to be between %g and %g, got %g\n", static_cast(min_expected), static_cast(max_expected), ConvertScalarTo(actual)); } } template ()>* = nullptr> static HWY_NOINLINE void TestSpecialFloatArithOperators(T /*unused*/) { #if HWY_HAVE_SCALAR_F16_OPERATORS || HWY_HAVE_SCALAR_BF16_OPERATORS AssertSpecialFloatOpResultInRange( -0.008422852f, -0.008361816f, EnsureNotNativeSpecialFloat(static_cast(-0.008911133f) + static_cast(5.264282E-4f)), __FILE__, __LINE__); AssertSpecialFloatOpResultInRange( 0.44335937f, 0.4453125f, EnsureNotNativeSpecialFloat(static_cast(-0.0014266968f) + 0.4453125f), __FILE__, __LINE__); AssertSpecialFloatOpResultInRange( 39.25f, 39.5f, EnsureNotNativeSpecialFloat(34.25f + static_cast(5.0625f)), __FILE__, __LINE__); AssertSpecialFloatOpResultInRange( 7456.0f, 7488.0f, EnsureNotNativeSpecialFloat(static_cast(0.29101562f) - static_cast(-7456.0f)), __FILE__, __LINE__); AssertSpecialFloatOpResultInRange( -2.21875f, -2.203125f, EnsureNotNativeSpecialFloat(static_cast(1.66893E-4f) - 2.21875f), __FILE__, __LINE__); AssertSpecialFloatOpResultInRange( 0.32421875f, 0.32617188f, EnsureNotNativeSpecialFloat(0.35351562f - static_cast(0.028198242f)), __FILE__, __LINE__); AssertSpecialFloatOpResultInRange( -0.01135254f, -0.011291503f, EnsureNotNativeSpecialFloat(static_cast(2.109375f) * static_cast(-0.0053710938f)), __FILE__, __LINE__); AssertSpecialFloatOpResultInRange( 2.359375f, 2.375f, EnsureNotNativeSpecialFloat(static_cast(0.0019454956f) * 1216.0f), __FILE__, __LINE__); AssertSpecialFloatOpResultInRange( -1.1014938E-4f, 3.453125f, EnsureNotNativeSpecialFloat(-0.00038146973f * static_cast(-0.00037956237f)), __FILE__, __LINE__); AssertSpecialFloatOpResultInRange( -27.875f, -27.75f, EnsureNotNativeSpecialFloat(static_cast(-56.5f) / static_cast(2.03125f)), __FILE__, __LINE__); AssertSpecialFloatOpResultInRange( 0.033203125f, 0.033447266f, EnsureNotNativeSpecialFloat(static_cast(470.0f) / 14080.0f), __FILE__, __LINE__); AssertSpecialFloatOpResultInRange( 0.51953125f, 0.5234375f, EnsureNotNativeSpecialFloat(0.26367188f / static_cast(0.50390625f)), __FILE__, __LINE__); T incr_assign_result_1 = static_cast(1.373291E-4f); EnsureNotNativeSpecialFloat(incr_assign_result_1 += static_cast(-20.375f)); AssertSpecialFloatOpResultInRange(-20.375f, -20.25f, incr_assign_result_1, __FILE__, __LINE__); T incr_assign_result_2 = static_cast(2.1457672E-4f); EnsureNotNativeSpecialFloat(incr_assign_result_2 += static_cast(7)); AssertSpecialFloatOpResultInRange(7.0f, 7.03125f, incr_assign_result_2, __FILE__, __LINE__); float incr_assign_result3 = -6.747985f; incr_assign_result3 += static_cast(4.15625f); AssertSpecialFloatOpResultInRange(-2.59375f, -2.578125f, incr_assign_result3, __FILE__, __LINE__); float incr_assign_result4 = 6.71875; incr_assign_result4 += static_cast(2.359375); AssertSpecialFloatOpResultInRange(9.0625, 9.125, incr_assign_result4, __FILE__, __LINE__); T decr_assign_result_1 = static_cast(4.4059753E-4f); EnsureNotNativeSpecialFloat(decr_assign_result_1 -= static_cast(6880.0f)); AssertSpecialFloatOpResultInRange(-6880, -6848, decr_assign_result_1, __FILE__, __LINE__); T decr_assign_result_2 = static_cast(85.5f); EnsureNotNativeSpecialFloat(decr_assign_result_2 -= static_cast(5)); AssertSpecialFloatOpResultInRange(80.5f, 80.5f, decr_assign_result_2, __FILE__, __LINE__); float decr_assign_result3 = 9.875f; decr_assign_result3 -= static_cast(1.5234375f); AssertSpecialFloatOpResultInRange(8.3125f, 8.375f, decr_assign_result3, __FILE__, __LINE__); double decr_assign_result4 = 0.337890625; decr_assign_result4 -= static_cast(2.328125); AssertSpecialFloatOpResultInRange(-1.9921875, -1.984375, decr_assign_result4, __FILE__, __LINE__); T mul_assign_result_1 = static_cast(15680.0f); EnsureNotNativeSpecialFloat(mul_assign_result_1 *= static_cast(0.001373291f)); AssertSpecialFloatOpResultInRange(21.5f, 21.625f, mul_assign_result_1, __FILE__, __LINE__); T mul_assign_result_2 = static_cast(2.609375f); EnsureNotNativeSpecialFloat(mul_assign_result_2 *= static_cast(7)); AssertSpecialFloatOpResultInRange(18.25, 18.375, mul_assign_result_2, __FILE__, __LINE__); float mul_assign_result3 = 4.125f; mul_assign_result3 *= static_cast(3.375f); AssertSpecialFloatOpResultInRange(13.875f, 13.9375f, mul_assign_result3, __FILE__, __LINE__); double mul_assign_result4 = 7.9375; mul_assign_result4 *= static_cast(0.79296875); AssertSpecialFloatOpResultInRange(6.28125, 6.3125, mul_assign_result4, __FILE__, __LINE__); T div_assign_result_1 = static_cast(11584.0f); EnsureNotNativeSpecialFloat(div_assign_result_1 /= static_cast(9.5625f)); AssertSpecialFloatOpResultInRange(1208.0f, 1216.0f, div_assign_result_1, __FILE__, __LINE__); T div_assign_result_2 = static_cast(0.12109375f); EnsureNotNativeSpecialFloat(div_assign_result_2 /= static_cast(3)); AssertSpecialFloatOpResultInRange(0.040283203f, 0.040527344f, div_assign_result_2, __FILE__, __LINE__); float div_assign_result_3 = 0.21679688f; div_assign_result_3 /= static_cast(3.421875f); AssertSpecialFloatOpResultInRange(0.06298828125f, 0.0634765625f, div_assign_result_3, __FILE__, __LINE__); double div_assign_result_4 = 5.34375; div_assign_result_4 /= static_cast(0.337890625); AssertSpecialFloatOpResultInRange(15.8125, 15.875, div_assign_result_4, __FILE__, __LINE__); HWY_ASSERT_EQ(static_cast(-1.0f), EnsureNotNativeSpecialFloat(-static_cast(1.0f))); HWY_ASSERT_EQ(static_cast(1.0f), EnsureNotNativeSpecialFloat(+static_cast(1.0f))); T pre_incr_result_1 = static_cast(1.0f); T pre_incr_result_2 = EnsureNotNativeSpecialFloat(++pre_incr_result_1); HWY_ASSERT_EQ(static_cast(2.0f), pre_incr_result_1); HWY_ASSERT_EQ(static_cast(2.0f), pre_incr_result_2); T post_incr_result_1 = static_cast(5.0f); T post_incr_result_2 = EnsureNotNativeSpecialFloat(post_incr_result_1++); HWY_ASSERT_EQ(static_cast(6.0f), post_incr_result_1); HWY_ASSERT_EQ(static_cast(5.0f), post_incr_result_2); T pre_decr_result_1 = static_cast(-2.0f); T pre_decr_result_2 = EnsureNotNativeSpecialFloat(--pre_decr_result_1); HWY_ASSERT_EQ(static_cast(-3.0f), pre_decr_result_1); HWY_ASSERT_EQ(static_cast(-3.0f), pre_decr_result_2); T post_decr_result_1 = static_cast(-7.0f); T post_decr_result_2 = EnsureNotNativeSpecialFloat(post_decr_result_1--); HWY_ASSERT_EQ(static_cast(-8.0f), post_decr_result_1); HWY_ASSERT_EQ(static_cast(-7.0f), post_decr_result_2); HWY_ASSERT(static_cast(1.0f) == 1.0f); HWY_ASSERT(static_cast(-2.40625f) != 0.0033416748f); HWY_ASSERT(static_cast(-3248.0f) < 0.0018997193f); HWY_ASSERT(static_cast(-27904.0f) <= -3.859375f); HWY_ASSERT(static_cast(1.078125f) > 0.010009765f); HWY_ASSERT(static_cast(45312.0f) >= 0.00024318695f); HWY_ASSERT(2.0f == static_cast(2.0f)); HWY_ASSERT(-5.78125f != static_cast(-15168.0f)); HWY_ASSERT(-0.056884766f < static_cast(0.000088214875f)); HWY_ASSERT(0.00008392333f <= static_cast(1384.0f)); HWY_ASSERT(21888.0f > static_cast(-2.578125f)); HWY_ASSERT(0.087402344 >= static_cast(-0.65625f)); #endif // HWY_HAVE_SCALAR_F16_OPERATORS || HWY_HAVE_SCALAR_BF16_OPERATORS } template ()>* = nullptr> static HWY_INLINE void TestSpecialFloatArithOperators(T /*unused*/) {} template HWY_NOINLINE void operator()(T /*unused*/) const { static_assert(IsSpecialFloat(), "IsSpecialFloat() must be true"); HWY_ASSERT_EQ(static_cast(0x436B0000u), BitCastScalar(ConvertScalarTo( BitCastScalar(static_cast( IsSame() ? 0x5B58u : 0x436Bu))))); HWY_ASSERT_EQ(static_cast(0xBB790000u), BitCastScalar(ConvertScalarTo( BitCastScalar(static_cast( IsSame() ? 0x9BC8u : 0xBB79u))))); HWY_ASSERT_EQ(static_cast( IsSame() ? 0xC0B86000u : 0xC5C30000u), BitCastScalar(ConvertScalarTo( BitCastScalar(static_cast(0xC5C3u))))); HWY_ASSERT_EQ(static_cast( IsSame() ? 0x41D20000u : 0x4E900000u), BitCastScalar(ConvertScalarTo( BitCastScalar(static_cast(0x4E90u))))); HWY_ASSERT_EQ(1696.0, ConvertScalarTo(ConvertScalarTo(1696.0f))); HWY_ASSERT_EQ( -0.00177001953125f, ConvertScalarTo(ConvertScalarTo(-0.00177001953125f))); HWY_ASSERT_EQ(0.49609375f, ConvertScalarTo(ConvertScalarTo(0.49609375))); HWY_ASSERT_EQ( 0.000553131103515625, ConvertScalarTo(ConvertScalarTo(0.000553131103515625))); HWY_ASSERT_EQ(ConvertScalarTo(3.0f), ConvertScalarTo(3)); HWY_ASSERT_EQ(ConvertScalarTo(-5.5f), ConvertScalarTo(-5.5)); HWY_ASSERT_EQ(ConvertScalarTo(0.82421875f), ConvertScalarTo(BF16FromF32(0.82421875f))); HWY_ASSERT_EQ(ConvertScalarTo(-6.375f), ConvertScalarTo(F16FromF32(-6.375f))); HWY_ASSERT(ConvertScalarTo(-3.671875f) < ConvertScalarTo(0.0218505859375f)); HWY_ASSERT(ConvertScalarTo(-0.033447265625f) <= ConvertScalarTo(8.249282836914062E-5f)); HWY_ASSERT(ConvertScalarTo(23296.0f) > ConvertScalarTo(192.0f)); HWY_ASSERT(ConvertScalarTo(41984.0f) >= ConvertScalarTo(370.0f)); TestSpecialFloatArithOperators(T()); } }; HWY_NOINLINE void TestAllSpecialFloat() { TestSpecialFloat test; test(float16_t()); test(bfloat16_t()); } } // namespace // NOLINTNEXTLINE(google-readability-namespace-comments) } // namespace HWY_NAMESPACE } // namespace hwy HWY_AFTER_NAMESPACE(); #if HWY_ONCE namespace hwy { namespace { HWY_BEFORE_TEST(BaseTest); HWY_EXPORT_AND_TEST_P(BaseTest, TestUnreachable); HWY_EXPORT_AND_TEST_P(BaseTest, TestAllLimits); HWY_EXPORT_AND_TEST_P(BaseTest, TestAllLowestHighest); HWY_EXPORT_AND_TEST_P(BaseTest, TestAllType); HWY_EXPORT_AND_TEST_P(BaseTest, TestAllIsSame); HWY_EXPORT_AND_TEST_P(BaseTest, TestAllBitScan); HWY_EXPORT_AND_TEST_P(BaseTest, TestAllPopCount); HWY_EXPORT_AND_TEST_P(BaseTest, TestAllDivisor); HWY_EXPORT_AND_TEST_P(BaseTest, TestAllDivisor64); HWY_EXPORT_AND_TEST_P(BaseTest, TestAllScalarShr); HWY_EXPORT_AND_TEST_P(BaseTest, TestAllMul128); HWY_EXPORT_AND_TEST_P(BaseTest, TestAllEndian); HWY_EXPORT_AND_TEST_P(BaseTest, TestAllSpecialFloat); HWY_AFTER_TEST(); } // namespace } // namespace hwy HWY_TEST_MAIN(); #endif // HWY_ONCE highway-1.3.0/hwy/bit_set.h000066400000000000000000000106011504730760100155650ustar00rootroot00000000000000// Copyright 2024 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #ifndef HIGHWAY_HWY_BIT_SET_H_ #define HIGHWAY_HWY_BIT_SET_H_ // BitSet with fast Foreach for up to 64 and 4096 members. #include #include "hwy/base.h" namespace hwy { // 64-bit specialization of std::bitset, which lacks Foreach. class BitSet64 { public: // No harm if `i` is already set. void Set(size_t i) { HWY_DASSERT(i < 64); bits_ |= (1ULL << i); HWY_DASSERT(Get(i)); } // Equivalent to Set(i) for i in [0, 64) where (bits >> i) & 1. This does // not clear any existing bits. void SetNonzeroBitsFrom64(uint64_t bits) { bits_ |= bits; } void Clear(size_t i) { HWY_DASSERT(i < 64); bits_ &= ~(1ULL << i); } bool Get(size_t i) const { HWY_DASSERT(i < 64); return (bits_ & (1ULL << i)) != 0; } // Returns true if any Get(i) would return true for i in [0, 64). bool Any() const { return bits_ != 0; } // Returns lowest i such that Get(i). Caller must ensure Any() beforehand! size_t First() const { HWY_DASSERT(Any()); return Num0BitsBelowLS1Bit_Nonzero64(bits_); } // Returns uint64_t(Get(i)) << i for i in [0, 64). uint64_t Get64() const { return bits_; } // Calls `func(i)` for each `i` in the set. It is safe for `func` to modify // the set, but the current Foreach call is unaffected. template void Foreach(const Func& func) const { uint64_t remaining_bits = bits_; while (remaining_bits != 0) { const size_t i = Num0BitsBelowLS1Bit_Nonzero64(remaining_bits); remaining_bits &= remaining_bits - 1; // clear LSB func(i); } } size_t Count() const { return PopCount(bits_); } private: uint64_t bits_ = 0; }; // Two-level bitset for up to kMaxSize <= 4096 values. template class BitSet4096 { public: // No harm if `i` is already set. void Set(size_t i) { HWY_DASSERT(i < kMaxSize); const size_t idx = i / 64; const size_t mod = i % 64; bits_[idx].Set(mod); nonzero_.Set(idx); HWY_DASSERT(Get(i)); } // Equivalent to Set(i) for i in [0, 64) where (bits >> i) & 1. This does // not clear any existing bits. void SetNonzeroBitsFrom64(uint64_t bits) { bits_[0].SetNonzeroBitsFrom64(bits); if (bits) nonzero_.Set(0); } void Clear(size_t i) { HWY_DASSERT(i < kMaxSize); const size_t idx = i / 64; const size_t mod = i % 64; bits_[idx].Clear(mod); if (!bits_[idx].Any()) { nonzero_.Clear(idx); } HWY_DASSERT(!Get(i)); } bool Get(size_t i) const { HWY_DASSERT(i < kMaxSize); const size_t idx = i / 64; const size_t mod = i % 64; return bits_[idx].Get(mod); } // Returns true if any Get(i) would return true for i in [0, 64). bool Any() const { return nonzero_.Any(); } // Returns lowest i such that Get(i). Caller must ensure Any() beforehand! size_t First() const { HWY_DASSERT(Any()); const size_t idx = nonzero_.First(); return idx * 64 + bits_[idx].First(); } // Returns uint64_t(Get(i)) << i for i in [0, 64). uint64_t Get64() const { return bits_[0].Get64(); } // Calls `func(i)` for each `i` in the set. It is safe for `func` to modify // the set, but the current Foreach call is only affected if changing one of // the not yet visited BitSet64 for which Any() is true. template void Foreach(const Func& func) const { nonzero_.Foreach([&func, this](size_t idx) { bits_[idx].Foreach([idx, &func](size_t mod) { func(idx * 64 + mod); }); }); } size_t Count() const { size_t total = 0; nonzero_.Foreach( [&total, this](size_t idx) { total += bits_[idx].Count(); }); return total; } private: static_assert(kMaxSize <= 64 * 64, "One BitSet64 insufficient"); BitSet64 nonzero_; BitSet64 bits_[kMaxSize / 64]; }; } // namespace hwy #endif // HIGHWAY_HWY_BIT_SET_H_ highway-1.3.0/hwy/bit_set_test.cc000066400000000000000000000141301504730760100167630ustar00rootroot00000000000000// Copyright 2024 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include "hwy/bit_set.h" #include #include #include #include // std::find #include #include // std::make_pair #include #include "hwy/base.h" #include "hwy/tests/hwy_gtest.h" #include "hwy/tests/test_util-inl.h" #include "hwy/tests/test_util.h" namespace hwy { namespace { // Template arg for kMin avoids compiler behavior mismatch for lambda capture. template void TestSet() { Set set; // Defaults to empty. HWY_ASSERT(!set.Any()); HWY_ASSERT(set.Count() == 0); set.Foreach( [](size_t i) { HWY_ABORT("Set should be empty but got %zu\n", i); }); HWY_ASSERT(!set.Get(0)); HWY_ASSERT(!set.Get(kMax)); // After setting, we can retrieve it. set.Set(kMax); HWY_ASSERT(set.Get(kMax)); HWY_ASSERT(set.Any()); HWY_ASSERT(set.First() == kMax); HWY_ASSERT(set.Count() == 1); set.Foreach([](size_t i) { HWY_ASSERT(i == kMax); }); // SetNonzeroBitsFrom64 does not clear old bits. set.SetNonzeroBitsFrom64(1ull << kMin); HWY_ASSERT(set.Any()); HWY_ASSERT(set.First() == kMin); HWY_ASSERT(set.Get(kMin)); HWY_ASSERT(set.Get(kMax)); HWY_ASSERT(set.Count() == 2); set.Foreach([](size_t i) { HWY_ASSERT(i == kMin || i == kMax); }); // After clearing, it is empty again. set.Clear(kMin); set.Clear(kMax); HWY_ASSERT(!set.Any()); HWY_ASSERT(set.Count() == 0); set.Foreach( [](size_t i) { HWY_ABORT("Set should be empty but got %zu\n", i); }); HWY_ASSERT(!set.Get(0)); HWY_ASSERT(!set.Get(kMax)); } TEST(BitSetTest, TestSet64) { TestSet(); } TEST(BitSetTest, TestSet4096) { TestSet, 4095>(); } // Supports membership and random choice, for testing BitSet4096. class SlowSet { public: // Inserting multiple times is a no-op. void Set(size_t i) { const auto ib = idx_for_i_.insert(std::make_pair(i, vec_.size())); if (ib.second) { // inserted vec_.push_back(i); HWY_ASSERT(idx_for_i_.size() == vec_.size()); } else { // Already have `i` and it can be found at the stored index. HWY_ASSERT(ib.first->first == i); const size_t idx = ib.first->second; HWY_ASSERT(vec_[idx] == i); } HWY_ASSERT(Get(i)); } bool Get(size_t i) const { const auto it = idx_for_i_.find(i); if (it == idx_for_i_.end()) { HWY_ASSERT(std::find(vec_.begin(), vec_.end(), i) == vec_.end()); return false; } HWY_ASSERT(vec_[it->second] == i); return true; } void Clear(size_t i) { if (!Get(i)) return; const size_t idx = idx_for_i_[i]; idx_for_i_.erase(i); // Move last into gap, unless it was equal to `i`. const size_t last = vec_.back(); vec_.pop_back(); if (last == i) { HWY_ASSERT(idx == vec_.size()); // was the last item } else { HWY_ASSERT(vec_[idx] == i); vec_[idx] = last; idx_for_i_[last] = idx; HWY_ASSERT(Get(last)); // can still find `last` } HWY_ASSERT(!Get(i)); } size_t Count() const { HWY_ASSERT(idx_for_i_.size() == vec_.size()); return vec_.size(); } // Must not call if Count() == 0. size_t RandomChoice(RandomState& rng) const { HWY_ASSERT(Count() != 0); const size_t idx = static_cast(hwy::Random32(&rng)) % vec_.size(); return vec_[idx]; } template void CheckSame(const Set& set) { HWY_ASSERT(set.Any() == (set.Count() != 0)); HWY_ASSERT(Count() == set.Count()); // Everything set has, we also have. set.Foreach([this](size_t i) { HWY_ASSERT(Get(i)); }); // Everything we have, set also has. std::for_each(vec_.begin(), vec_.end(), [&set](size_t i) { HWY_ASSERT(set.Get(i)); }); // First matches first in the map if (set.Any()) { HWY_ASSERT(set.First() == idx_for_i_.begin()->first); } } private: std::vector vec_; std::map idx_for_i_; }; void TestSetRandom(uint64_t grow_prob) { const uint32_t mod = 4096; RandomState rng; // Multiple independent random tests: for (size_t rep = 0; rep < AdjustedReps(100); ++rep) { BitSet4096<> set; SlowSet slow_set; // Mutate sets via random walk and ensure they are the same afterwards. for (size_t iter = 0; iter < 200; ++iter) { const uint64_t bits = (Random64(&rng) >> 10) & 0x3FF; if (bits > 980 && slow_set.Count() != 0) { // Small chance of reinsertion: already present, unchanged after. const size_t i = slow_set.RandomChoice(rng); const size_t count = set.Count(); HWY_ASSERT(set.Get(i)); slow_set.Set(i); set.Set(i); HWY_ASSERT(set.Get(i)); HWY_ASSERT(count == set.Count()); } else if (bits < grow_prob) { // Set random value; no harm if already set. const size_t i = static_cast(Random32(&rng) % mod); slow_set.Set(i); set.Set(i); HWY_ASSERT(set.Get(i)); } else if (slow_set.Count() != 0) { // Remove existing item. const size_t i = slow_set.RandomChoice(rng); const size_t count = set.Count(); HWY_ASSERT(set.Get(i)); slow_set.Clear(i); set.Clear(i); HWY_ASSERT(!set.Get(i)); HWY_ASSERT(count == set.Count() + 1); } } slow_set.CheckSame(set); } } // Lower probability of growth so that the set is often nearly empty. TEST(BitSetTest, TestSetRandomShrink) { TestSetRandom(400); } TEST(BitSetTest, TestSetRandomGrow) { TestSetRandom(600); } } // namespace } // namespace hwy HWY_TEST_MAIN(); highway-1.3.0/hwy/cache_control.h000066400000000000000000000117161504730760100167470ustar00rootroot00000000000000// Copyright 2020 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #ifndef HIGHWAY_HWY_CACHE_CONTROL_H_ #define HIGHWAY_HWY_CACHE_CONTROL_H_ #include "hwy/aligned_allocator.h" // HWY_ALIGNMENT #include "hwy/base.h" // Requires SSE2; fails to compile on 32-bit Clang 7 (see // https://github.com/gperftools/gperftools/issues/946). #if !defined(__SSE2__) || (HWY_COMPILER_CLANG && HWY_ARCH_X86_32) #undef HWY_DISABLE_CACHE_CONTROL #define HWY_DISABLE_CACHE_CONTROL #endif #ifndef HWY_DISABLE_CACHE_CONTROL // intrin.h is sufficient on MSVC and already included by base.h. #if HWY_ARCH_X86 && !HWY_COMPILER_MSVC #include // SSE2 #include // _mm_prefetch #elif HWY_ARCH_ARM_A64 #include #endif #endif // HWY_DISABLE_CACHE_CONTROL namespace hwy { // Even if N*sizeof(T) is smaller, Stream may write a multiple of this size. #define HWY_STREAM_MULTIPLE 16 // The following functions may also require an attribute. #if HWY_ARCH_X86 && !defined(HWY_DISABLE_CACHE_CONTROL) && !HWY_COMPILER_MSVC #define HWY_ATTR_CACHE __attribute__((target("sse2"))) #else #define HWY_ATTR_CACHE #endif // Windows.h #defines this, which causes infinite recursion. Temporarily // undefine to avoid conflict with our function. // TODO(janwas): remove when this function is removed. #pragma push_macro("LoadFence") #undef LoadFence // Delays subsequent loads until prior loads are visible. Beware of potentially // differing behavior across architectures and vendors: on Intel but not // AMD CPUs, also serves as a full fence (waits for all prior instructions to // complete). HWY_INLINE HWY_ATTR_CACHE void LoadFence() { #if HWY_ARCH_X86 && !defined(HWY_DISABLE_CACHE_CONTROL) _mm_lfence(); #endif } // TODO(janwas): remove when this function is removed. (See above.) #pragma pop_macro("LoadFence") // Overwrites "to" while attempting to bypass the cache (read-for-ownership). // Both pointers must be aligned. static HWY_INLINE void StreamCacheLine(const uint64_t* HWY_RESTRICT from, uint64_t* HWY_RESTRICT to) { HWY_DASSERT(IsAligned(from)); HWY_DASSERT(IsAligned(to)); #if HWY_COMPILER_CLANG && !defined(HWY_DISABLE_CACHE_CONTROL) for (size_t i = 0; i < HWY_ALIGNMENT / sizeof(uint64_t); ++i) { __builtin_nontemporal_store(from[i], to + i); } #else hwy::CopyBytes(from, to, HWY_ALIGNMENT); #endif } // Ensures values written by previous `Stream` calls are visible on the current // core. This is NOT sufficient for synchronizing across cores; when `Stream` // outputs are to be consumed by other core(s), the producer must publish // availability (e.g. via mutex or atomic_flag) after `FlushStream`. HWY_INLINE HWY_ATTR_CACHE void FlushStream() { #if HWY_ARCH_X86 && !defined(HWY_DISABLE_CACHE_CONTROL) _mm_sfence(); #endif } // Optionally begins loading the cache line containing "p" to reduce latency of // subsequent actual loads. template HWY_INLINE HWY_ATTR_CACHE void Prefetch(const T* p) { (void)p; #ifndef HWY_DISABLE_CACHE_CONTROL #if HWY_ARCH_X86 _mm_prefetch(reinterpret_cast(p), _MM_HINT_T0); #elif HWY_COMPILER_GCC // includes clang // Hint=0 (NTA) behavior differs, but skipping outer caches is probably not // desirable, so use the default 3 (keep in caches). __builtin_prefetch(p, /*write=*/0, /*hint=*/3); #endif #endif // HWY_DISABLE_CACHE_CONTROL } // Invalidates and flushes the cache line containing "p", if possible. HWY_INLINE HWY_ATTR_CACHE void FlushCacheline(const void* p) { #if HWY_ARCH_X86 && !defined(HWY_DISABLE_CACHE_CONTROL) _mm_clflush(p); #else (void)p; #endif } // Hints that we are inside a spin loop and potentially reduces power // consumption and coherency traffic. For example, x86 avoids multiple // outstanding load requests, which reduces the memory order violation penalty // when exiting the loop. HWY_INLINE HWY_ATTR_CACHE void Pause() { #ifndef HWY_DISABLE_CACHE_CONTROL #if HWY_ARCH_X86 _mm_pause(); #elif HWY_ARCH_ARM_A64 && HWY_COMPILER_CLANG // This is documented in ACLE and the YIELD instruction is also available in // Armv7, but the intrinsic is broken for Armv7 clang, hence A64 only. __yield(); #elif HWY_ARCH_ARM && HWY_COMPILER_GCC // includes clang __asm__ volatile("yield" ::: "memory"); #elif HWY_ARCH_PPC && HWY_COMPILER_GCC // includes clang __asm__ volatile("or 27,27,27" ::: "memory"); #endif #endif // HWY_DISABLE_CACHE_CONTROL } } // namespace hwy #endif // HIGHWAY_HWY_CACHE_CONTROL_H_ highway-1.3.0/hwy/contrib/000077500000000000000000000000001504730760100154255ustar00rootroot00000000000000highway-1.3.0/hwy/contrib/algo/000077500000000000000000000000001504730760100163475ustar00rootroot00000000000000highway-1.3.0/hwy/contrib/algo/copy-inl.h000066400000000000000000000120561504730760100202560ustar00rootroot00000000000000// Copyright 2022 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. // Per-target include guard #if defined(HIGHWAY_HWY_CONTRIB_ALGO_COPY_INL_H_) == \ defined(HWY_TARGET_TOGGLE) // NOLINT #ifdef HIGHWAY_HWY_CONTRIB_ALGO_COPY_INL_H_ #undef HIGHWAY_HWY_CONTRIB_ALGO_COPY_INL_H_ #else #define HIGHWAY_HWY_CONTRIB_ALGO_COPY_INL_H_ #endif #include #include #include "hwy/highway.h" HWY_BEFORE_NAMESPACE(); namespace hwy { namespace HWY_NAMESPACE { // These functions avoid having to write a loop plus remainder handling in the // (unfortunately still common) case where arrays are not aligned/padded. If the // inputs are known to be aligned/padded, it is more efficient to write a single // loop using Load(). We do not provide a CopyAlignedPadded because it // would be more verbose than such a loop. // Fills `to`[0, `count`) with `value`. template > void Fill(D d, T value, size_t count, T* HWY_RESTRICT to) { const size_t N = Lanes(d); const Vec v = Set(d, value); size_t idx = 0; if (count >= N) { for (; idx <= count - N; idx += N) { StoreU(v, d, to + idx); } } // `count` was a multiple of the vector length `N`: already done. if (HWY_UNLIKELY(idx == count)) return; const size_t remaining = count - idx; HWY_DASSERT(0 != remaining && remaining < N); SafeFillN(remaining, value, d, to + idx); } // Copies `from`[0, `count`) to `to`, which must not overlap `from`. template > void Copy(D d, const T* HWY_RESTRICT from, size_t count, T* HWY_RESTRICT to) { const size_t N = Lanes(d); size_t idx = 0; if (count >= N) { for (; idx <= count - N; idx += N) { const Vec v = LoadU(d, from + idx); StoreU(v, d, to + idx); } } // `count` was a multiple of the vector length `N`: already done. if (HWY_UNLIKELY(idx == count)) return; const size_t remaining = count - idx; HWY_DASSERT(0 != remaining && remaining < N); SafeCopyN(remaining, d, from + idx, to + idx); } // For idx in [0, count) in ascending order, appends `from[idx]` to `to` if the // corresponding mask element of `func(d, v)` is true. Returns the STL-style end // of the newly written elements in `to`. // // `func` is either a functor with a templated operator()(d, v) returning a // mask, or a generic lambda if using C++14. Due to apparent limitations of // Clang on Windows, it is currently necessary to add HWY_ATTR before the // opening { of the lambda to avoid errors about "function .. requires target". // // NOTE: this is only supported for 16-, 32- or 64-bit types. // NOTE: Func may be called a second time for elements it has already seen, but // these elements will not be written to `to` again. template > T* CopyIf(D d, const T* HWY_RESTRICT from, size_t count, T* HWY_RESTRICT to, const Func& func) { const size_t N = Lanes(d); size_t idx = 0; if (count >= N) { for (; idx <= count - N; idx += N) { const Vec v = LoadU(d, from + idx); to += CompressBlendedStore(v, func(d, v), d, to); } } // `count` was a multiple of the vector length `N`: already done. if (HWY_UNLIKELY(idx == count)) return to; #if HWY_MEM_OPS_MIGHT_FAULT // Proceed one by one. const CappedTag d1; for (; idx < count; ++idx) { using V1 = Vec; // Workaround for -Waggressive-loop-optimizations on GCC 8 // (iteration 2305843009213693951 invokes undefined behavior for T=i64) const uintptr_t addr = reinterpret_cast(from); const T* HWY_RESTRICT from_idx = reinterpret_cast(addr + (idx * sizeof(T))); const V1 v = LoadU(d1, from_idx); // Avoid storing to `to` unless we know it should be kept - otherwise, we // might overrun the end if it was allocated for the exact count. if (CountTrue(d1, func(d1, v)) == 0) continue; StoreU(v, d1, to); to += 1; } #else // Start index of the last unaligned whole vector, ending at the array end. const size_t last = count - N; // Number of elements before `from` or already written. const size_t invalid = idx - last; HWY_DASSERT(0 != invalid && invalid < N); const Mask mask = Not(FirstN(d, invalid)); const Vec v = MaskedLoad(mask, d, from + last); to += CompressBlendedStore(v, And(mask, func(d, v)), d, to); #endif return to; } // NOLINTNEXTLINE(google-readability-namespace-comments) } // namespace HWY_NAMESPACE } // namespace hwy HWY_AFTER_NAMESPACE(); #endif // HIGHWAY_HWY_CONTRIB_ALGO_COPY_INL_H_ highway-1.3.0/hwy/contrib/algo/copy_test.cc000066400000000000000000000145021504730760100206710ustar00rootroot00000000000000// Copyright 2022 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include #include "hwy/aligned_allocator.h" // clang-format off #undef HWY_TARGET_INCLUDE #define HWY_TARGET_INCLUDE "hwy/contrib/algo/copy_test.cc" #include "hwy/foreach_target.h" // IWYU pragma: keep #include "hwy/highway.h" #include "hwy/contrib/algo/copy-inl.h" #include "hwy/tests/test_util-inl.h" // clang-format on // If your project requires C++14 or later, you can ignore this and pass lambdas // directly to Transform, without requiring an lvalue as we do here for C++11. #if __cplusplus < 201402L #define HWY_GENERIC_LAMBDA 0 #else #define HWY_GENERIC_LAMBDA 1 #endif HWY_BEFORE_NAMESPACE(); namespace hwy { namespace HWY_NAMESPACE { namespace { // Returns random integer in [0, 128), which fits in any lane type. template T Random7Bit(RandomState& rng) { return ConvertScalarTo(Random32(&rng) & 127); } // In C++14, we can instead define these as generic lambdas next to where they // are invoked. #if !HWY_GENERIC_LAMBDA struct IsOdd { template Mask operator()(D d, V v) const { return TestBit(v, Set(d, TFromD{1})); } }; #endif // !HWY_GENERIC_LAMBDA // Invokes Test (e.g. TestCopyIf) with all arg combinations. T comes from // ForFloatTypes. template struct ForeachCountAndMisalign { template HWY_NOINLINE void operator()(T /*unused*/, D d) const { RandomState rng; const size_t N = Lanes(d); const size_t misalignments[3] = {0, N / 4, 3 * N / 5}; for (size_t count = 0; count < 2 * N; ++count) { for (size_t ma : misalignments) { for (size_t mb : misalignments) { Test()(d, count, ma, mb, rng); } } } } }; struct TestFill { template void operator()(D d, size_t count, size_t misalign_a, size_t misalign_b, RandomState& rng) { using T = TFromD; // HWY_MAX prevents error when misalign == count == 0. AlignedFreeUniquePtr pa = AllocateAligned(HWY_MAX(1, misalign_a + count)); AlignedFreeUniquePtr pb = AllocateAligned(misalign_b + count + 1); HWY_ASSERT(pa && pb); T* expected = pa.get() + misalign_a; const T value = Random7Bit(rng); for (size_t i = 0; i < count; ++i) { expected[i] = value; } T* actual = pb.get() + misalign_b; actual[count] = ConvertScalarTo(0); // sentinel Fill(d, value, count, actual); HWY_ASSERT_EQ(ConvertScalarTo(0), actual[count]); // no write past end const auto info = hwy::detail::MakeTypeInfo(); const char* target_name = hwy::TargetName(HWY_TARGET); hwy::detail::AssertArrayEqual(info, expected, actual, count, target_name, __FILE__, __LINE__); } }; void TestAllFill() { ForAllTypes(ForPartialVectors>()); } struct TestCopy { template void operator()(D d, size_t count, size_t misalign_a, size_t misalign_b, RandomState& rng) { using T = TFromD; // Prevents error if size to allocate is zero. AlignedFreeUniquePtr pa = AllocateAligned(HWY_MAX(1, misalign_a + count)); AlignedFreeUniquePtr pb = AllocateAligned(HWY_MAX(1, misalign_b + count)); HWY_ASSERT(pa && pb); T* a = pa.get() + misalign_a; for (size_t i = 0; i < count; ++i) { a[i] = Random7Bit(rng); } T* b = pb.get() + misalign_b; Copy(d, a, count, b); const auto info = hwy::detail::MakeTypeInfo(); const char* target_name = hwy::TargetName(HWY_TARGET); hwy::detail::AssertArrayEqual(info, a, b, count, target_name, __FILE__, __LINE__); } }; void TestAllCopy() { ForAllTypes(ForPartialVectors>()); } struct TestCopyIf { template void operator()(D d, size_t count, size_t misalign_a, size_t misalign_b, RandomState& rng) { using T = TFromD; const size_t padding = Lanes(ScalableTag()); // Prevents error if size to allocate is zero. AlignedFreeUniquePtr pa = AllocateAligned(HWY_MAX(1, misalign_a + count)); AlignedFreeUniquePtr pb = AllocateAligned(HWY_MAX(1, misalign_b + count + padding)); AlignedFreeUniquePtr expected = AllocateAligned(HWY_MAX(1, count)); HWY_ASSERT(pa && pb && expected); T* a = pa.get() + misalign_a; for (size_t i = 0; i < count; ++i) { a[i] = Random7Bit(rng); } T* b = pb.get() + misalign_b; size_t num_odd = 0; for (size_t i = 0; i < count; ++i) { if (a[i] & 1) { expected[num_odd++] = a[i]; } } #if HWY_GENERIC_LAMBDA const auto is_odd = [](const auto d2, const auto v) HWY_ATTR { return TestBit(v, Set(d2, TFromD{1})); }; #else const IsOdd is_odd; #endif T* end = CopyIf(d, a, count, b, is_odd); const size_t num_written = static_cast(end - b); HWY_ASSERT_EQ(num_odd, num_written); const auto info = hwy::detail::MakeTypeInfo(); const char* target_name = hwy::TargetName(HWY_TARGET); hwy::detail::AssertArrayEqual(info, expected.get(), b, num_odd, target_name, __FILE__, __LINE__); } }; void TestAllCopyIf() { ForUI163264(ForPartialVectors>()); } } // namespace // NOLINTNEXTLINE(google-readability-namespace-comments) } // namespace HWY_NAMESPACE } // namespace hwy HWY_AFTER_NAMESPACE(); #if HWY_ONCE namespace hwy { namespace { HWY_BEFORE_TEST(CopyTest); HWY_EXPORT_AND_TEST_P(CopyTest, TestAllFill); HWY_EXPORT_AND_TEST_P(CopyTest, TestAllCopy); HWY_EXPORT_AND_TEST_P(CopyTest, TestAllCopyIf); HWY_AFTER_TEST(); } // namespace } // namespace hwy HWY_TEST_MAIN(); #endif // HWY_ONCE highway-1.3.0/hwy/contrib/algo/find-inl.h000066400000000000000000000071051504730760100202230ustar00rootroot00000000000000// Copyright 2022 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. // Per-target include guard #if defined(HIGHWAY_HWY_CONTRIB_ALGO_FIND_INL_H_) == \ defined(HWY_TARGET_TOGGLE) // NOLINT #ifdef HIGHWAY_HWY_CONTRIB_ALGO_FIND_INL_H_ #undef HIGHWAY_HWY_CONTRIB_ALGO_FIND_INL_H_ #else #define HIGHWAY_HWY_CONTRIB_ALGO_FIND_INL_H_ #endif #include "hwy/highway.h" HWY_BEFORE_NAMESPACE(); namespace hwy { namespace HWY_NAMESPACE { // Returns index of the first element equal to `value` in `in[0, count)`, or // `count` if not found. template > size_t Find(D d, T value, const T* HWY_RESTRICT in, size_t count) { const size_t N = Lanes(d); const Vec broadcasted = Set(d, value); size_t i = 0; if (count >= N) { for (; i <= count - N; i += N) { const intptr_t pos = FindFirstTrue(d, Eq(broadcasted, LoadU(d, in + i))); if (pos >= 0) return i + static_cast(pos); } } if (i != count) { #if HWY_MEM_OPS_MIGHT_FAULT // Scan single elements. const CappedTag d1; using V1 = Vec; const V1 broadcasted1 = Set(d1, GetLane(broadcasted)); for (; i < count; ++i) { if (AllTrue(d1, Eq(broadcasted1, LoadU(d1, in + i)))) { return i; } } #else const size_t remaining = count - i; HWY_DASSERT(0 != remaining && remaining < N); const Mask mask = FirstN(d, remaining); const Vec v = MaskedLoad(mask, d, in + i); // Apply mask so that we don't 'find' the zero-padding from MaskedLoad. const intptr_t pos = FindFirstTrue(d, And(Eq(broadcasted, v), mask)); if (pos >= 0) return i + static_cast(pos); #endif // HWY_MEM_OPS_MIGHT_FAULT } return count; // not found } // Returns index of the first element in `in[0, count)` for which `func(d, vec)` // returns true, otherwise `count`. template > size_t FindIf(D d, const T* HWY_RESTRICT in, size_t count, const Func& func) { const size_t N = Lanes(d); size_t i = 0; if (count >= N) { for (; i <= count - N; i += N) { const intptr_t pos = FindFirstTrue(d, func(d, LoadU(d, in + i))); if (pos >= 0) return i + static_cast(pos); } } if (i != count) { #if HWY_MEM_OPS_MIGHT_FAULT // Scan single elements. const CappedTag d1; for (; i < count; ++i) { if (AllTrue(d1, func(d1, LoadU(d1, in + i)))) { return i; } } #else const size_t remaining = count - i; HWY_DASSERT(0 != remaining && remaining < N); const Mask mask = FirstN(d, remaining); const Vec v = MaskedLoad(mask, d, in + i); // Apply mask so that we don't 'find' the zero-padding from MaskedLoad. const intptr_t pos = FindFirstTrue(d, And(func(d, v), mask)); if (pos >= 0) return i + static_cast(pos); #endif // HWY_MEM_OPS_MIGHT_FAULT } return count; // not found } // NOLINTNEXTLINE(google-readability-namespace-comments) } // namespace HWY_NAMESPACE } // namespace hwy HWY_AFTER_NAMESPACE(); #endif // HIGHWAY_HWY_CONTRIB_ALGO_FIND_INL_H_ highway-1.3.0/hwy/contrib/algo/find_test.cc000066400000000000000000000167311504730760100206450ustar00rootroot00000000000000// Copyright 2022 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include #include // std::find_if #include #include "hwy/aligned_allocator.h" #include "hwy/base.h" #include "hwy/print.h" // clang-format off #undef HWY_TARGET_INCLUDE #define HWY_TARGET_INCLUDE "hwy/contrib/algo/find_test.cc" #include "hwy/foreach_target.h" // IWYU pragma: keep #include "hwy/highway.h" #include "hwy/contrib/algo/find-inl.h" #include "hwy/tests/test_util-inl.h" // clang-format on // If your project requires C++14 or later, you can ignore this and pass lambdas // directly to FindIf, without requiring an lvalue as we do here for C++11. #if __cplusplus < 201402L #define HWY_GENERIC_LAMBDA 0 #else #define HWY_GENERIC_LAMBDA 1 #endif HWY_BEFORE_NAMESPACE(); namespace hwy { namespace HWY_NAMESPACE { namespace { // Returns random number in [-8, 8] - we use knowledge of the range to Find() // values we know are not present. template T Random(RandomState& rng) { const int32_t bits = static_cast(Random32(&rng)) & 1023; double val = (bits - 512) / 64.0; // Clamp negative to zero for unsigned types. if (!hwy::IsSigned() && val < 0.0) { val = -val; } return ConvertScalarTo(val); } // In C++14, we can instead define these as generic lambdas next to where they // are invoked. #if !HWY_GENERIC_LAMBDA class GreaterThan { public: GreaterThan(int val) : val_(val) {} template Mask operator()(D d, V v) const { return Gt(v, Set(d, ConvertScalarTo>(val_))); } private: int val_; }; #endif // !HWY_GENERIC_LAMBDA // Invokes Test (e.g. TestFind) with all arg combinations. template struct ForeachCountAndMisalign { template HWY_NOINLINE void operator()(T /*unused*/, D d) const { RandomState rng; const size_t N = Lanes(d); const size_t misalignments[3] = {0, N / 4, 3 * N / 5}; // Find() checks 8 vectors at a time, so we want to cover a fairly large // range without oversampling (checking every possible count). std::vector counts(AdjustedReps(512)); for (size_t& count : counts) { count = static_cast(rng()) % (16 * N + 1); } counts[0] = 0; // ensure we test count=0. for (size_t count : counts) { for (size_t m : misalignments) { Test()(d, count, m, rng); } } } }; struct TestFind { template void operator()(D d, size_t count, size_t misalign, RandomState& rng) { using T = TFromD; // Must allocate at least one even if count is zero. AlignedFreeUniquePtr storage = AllocateAligned(HWY_MAX(1, misalign + count)); HWY_ASSERT(storage); T* in = storage.get() + misalign; for (size_t i = 0; i < count; ++i) { in[i] = Random(rng); } // For each position, search for that element (which we know is there) for (size_t pos = 0; pos < count; ++pos) { const size_t actual = Find(d, in[pos], in, count); // We may have found an earlier occurrence of the same value; ensure the // value is the same, and that it is the first. if (!IsEqual(in[pos], in[actual])) { fprintf(stderr, "%s count %d, found %.15f at %d but wanted %.15f\n", hwy::TypeName(T(), Lanes(d)).c_str(), static_cast(count), ConvertScalarTo(in[actual]), static_cast(actual), ConvertScalarTo(in[pos])); HWY_ASSERT(false); } for (size_t i = 0; i < actual; ++i) { if (IsEqual(in[i], in[pos])) { fprintf(stderr, "%s count %d, found %f at %d but Find returned %d\n", hwy::TypeName(T(), Lanes(d)).c_str(), static_cast(count), ConvertScalarTo(in[i]), static_cast(i), static_cast(actual)); HWY_ASSERT(false); } } } // Also search for values we know not to be present (out of range) HWY_ASSERT_EQ(count, Find(d, ConvertScalarTo(9), in, count)); HWY_ASSERT_EQ(count, Find(d, ConvertScalarTo(-9), in, count)); } }; void TestAllFind() { ForAllTypes(ForPartialVectors>()); } struct TestFindIf { template void operator()(D d, size_t count, size_t misalign, RandomState& rng) { using T = TFromD; using TI = MakeSigned; // Must allocate at least one even if count is zero. AlignedFreeUniquePtr storage = AllocateAligned(HWY_MAX(1, misalign + count)); HWY_ASSERT(storage); T* in = storage.get() + misalign; for (size_t i = 0; i < count; ++i) { in[i] = Random(rng); HWY_ASSERT(ConvertScalarTo(in[i]) <= 8); HWY_ASSERT(!hwy::IsSigned() || ConvertScalarTo(in[i]) >= -8); } bool found_any = false; bool not_found_any = false; // unsigned T would be promoted to signed and compare greater than any // negative val, whereas Set() would just cast to an unsigned value and the // comparison remains unsigned, so avoid negative numbers there. const int min_val = IsSigned() ? -9 : 0; // Includes out-of-range value 9 to test the not-found path. for (int val = min_val; val <= 9; ++val) { #if HWY_GENERIC_LAMBDA const auto greater = [val](const auto d, const auto v) HWY_ATTR { return Gt(v, Set(d, ConvertScalarTo(val))); }; #else const GreaterThan greater(val); #endif const size_t actual = FindIf(d, in, count, greater); found_any |= actual < count; not_found_any |= actual == count; const auto pos = std::find_if( in, in + count, [val](T x) { return x > ConvertScalarTo(val); }); // Convert returned iterator to index. const size_t expected = static_cast(pos - in); if (expected != actual) { fprintf(stderr, "%s count %d val %d, expected %d actual %d\n", hwy::TypeName(T(), Lanes(d)).c_str(), static_cast(count), val, static_cast(expected), static_cast(actual)); hwy::detail::PrintArray(hwy::detail::MakeTypeInfo(), "in", in, count, 0, count); HWY_ASSERT(false); } } // We will always not-find something due to val=9. HWY_ASSERT(not_found_any); // We'll find something unless the input is empty or {0} - because 0 > i // is false for all i=[0,9]. if (count != 0 && in[0] != ConvertScalarTo(0)) { HWY_ASSERT(found_any); } } }; void TestAllFindIf() { ForAllTypes(ForPartialVectors>()); } } // namespace // NOLINTNEXTLINE(google-readability-namespace-comments) } // namespace HWY_NAMESPACE } // namespace hwy HWY_AFTER_NAMESPACE(); #if HWY_ONCE namespace hwy { namespace { HWY_BEFORE_TEST(FindTest); HWY_EXPORT_AND_TEST_P(FindTest, TestAllFind); HWY_EXPORT_AND_TEST_P(FindTest, TestAllFindIf); HWY_AFTER_TEST(); } // namespace } // namespace hwy HWY_TEST_MAIN(); #endif // HWY_ONCE highway-1.3.0/hwy/contrib/algo/transform-inl.h000066400000000000000000000177121504730760100213230ustar00rootroot00000000000000// Copyright 2022 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. // Per-target include guard #if defined(HIGHWAY_HWY_CONTRIB_ALGO_TRANSFORM_INL_H_) == \ defined(HWY_TARGET_TOGGLE) #ifdef HIGHWAY_HWY_CONTRIB_ALGO_TRANSFORM_INL_H_ #undef HIGHWAY_HWY_CONTRIB_ALGO_TRANSFORM_INL_H_ #else #define HIGHWAY_HWY_CONTRIB_ALGO_TRANSFORM_INL_H_ #endif #include #include "hwy/highway.h" HWY_BEFORE_NAMESPACE(); namespace hwy { namespace HWY_NAMESPACE { // These functions avoid having to write a loop plus remainder handling in the // (unfortunately still common) case where arrays are not aligned/padded. If the // inputs are known to be aligned/padded, it is more efficient to write a single // loop using Load(). We do not provide a TransformAlignedPadded because it // would be more verbose than such a loop. // // Func is either a functor with a templated operator()(d, v[, v1[, v2]]), or a // generic lambda if using C++14. The d argument is the same as was passed to // the Generate etc. functions. Due to apparent limitations of Clang, it is // currently necessary to add HWY_ATTR before the opening { of the lambda to // avoid errors about "always_inline function .. requires target". // // We do not check HWY_MEM_OPS_MIGHT_FAULT because LoadN/StoreN do not fault. // Fills `out[0, count)` with the vectors returned by `func(d, index_vec)`, // where `index_vec` is `Vec>`. On the first call to `func`, // the value of its lane i is i, and increases by `Lanes(d)` after every call. // Note that some of these indices may be `>= count`, but the elements that // `func` returns in those lanes will not be written to `out`. template > void Generate(D d, T* HWY_RESTRICT out, size_t count, const Func& func) { const RebindToUnsigned du; using TU = TFromD; const size_t N = Lanes(d); size_t idx = 0; Vec vidx = Iota(du, 0); if (count >= N) { for (; idx <= count - N; idx += N) { StoreU(func(d, vidx), d, out + idx); vidx = Add(vidx, Set(du, static_cast(N))); } } // `count` was a multiple of the vector length `N`: already done. if (HWY_UNLIKELY(idx == count)) return; const size_t remaining = count - idx; HWY_DASSERT(0 != remaining && remaining < N); StoreN(func(d, vidx), d, out + idx, remaining); } // Calls `func(d, v)` for each input vector; out of bound lanes with index i >= // `count` are instead taken from `no[i % Lanes(d)]`. template > void Foreach(D d, const T* HWY_RESTRICT in, const size_t count, const Vec no, const Func& func) { const size_t N = Lanes(d); size_t idx = 0; if (count >= N) { for (; idx <= count - N; idx += N) { const Vec v = LoadU(d, in + idx); func(d, v); } } // `count` was a multiple of the vector length `N`: already done. if (HWY_UNLIKELY(idx == count)) return; const size_t remaining = count - idx; HWY_DASSERT(0 != remaining && remaining < N); const Vec v = LoadNOr(no, d, in + idx, remaining); func(d, v); } // Replaces `inout[idx]` with `func(d, inout[idx])`. Example usage: multiplying // array elements by a constant. template > void Transform(D d, T* HWY_RESTRICT inout, size_t count, const Func& func) { const size_t N = Lanes(d); size_t idx = 0; if (count >= N) { for (; idx <= count - N; idx += N) { const Vec v = LoadU(d, inout + idx); StoreU(func(d, v), d, inout + idx); } } // `count` was a multiple of the vector length `N`: already done. if (HWY_UNLIKELY(idx == count)) return; const size_t remaining = count - idx; HWY_DASSERT(0 != remaining && remaining < N); const Vec v = LoadN(d, inout + idx, remaining); StoreN(func(d, v), d, inout + idx, remaining); } // Replaces `inout[idx]` with `func(d, inout[idx], in1[idx])`. Example usage: // multiplying array elements by those of another array. template > void Transform1(D d, T* HWY_RESTRICT inout, size_t count, const T* HWY_RESTRICT in1, const Func& func) { const size_t N = Lanes(d); size_t idx = 0; if (count >= N) { for (; idx <= count - N; idx += N) { const Vec v = LoadU(d, inout + idx); const Vec v1 = LoadU(d, in1 + idx); StoreU(func(d, v, v1), d, inout + idx); } } // `count` was a multiple of the vector length `N`: already done. if (HWY_UNLIKELY(idx == count)) return; const size_t remaining = count - idx; HWY_DASSERT(0 != remaining && remaining < N); const Vec v = LoadN(d, inout + idx, remaining); const Vec v1 = LoadN(d, in1 + idx, remaining); StoreN(func(d, v, v1), d, inout + idx, remaining); } // Replaces `inout[idx]` with `func(d, inout[idx], in1[idx], in2[idx])`. Example // usage: FMA of elements from three arrays, stored into the first array. template > void Transform2(D d, T* HWY_RESTRICT inout, size_t count, const T* HWY_RESTRICT in1, const T* HWY_RESTRICT in2, const Func& func) { const size_t N = Lanes(d); size_t idx = 0; if (count >= N) { for (; idx <= count - N; idx += N) { const Vec v = LoadU(d, inout + idx); const Vec v1 = LoadU(d, in1 + idx); const Vec v2 = LoadU(d, in2 + idx); StoreU(func(d, v, v1, v2), d, inout + idx); } } // `count` was a multiple of the vector length `N`: already done. if (HWY_UNLIKELY(idx == count)) return; const size_t remaining = count - idx; HWY_DASSERT(0 != remaining && remaining < N); const Vec v = LoadN(d, inout + idx, remaining); const Vec v1 = LoadN(d, in1 + idx, remaining); const Vec v2 = LoadN(d, in2 + idx, remaining); StoreN(func(d, v, v1, v2), d, inout + idx, remaining); } template > void Replace(D d, T* HWY_RESTRICT inout, size_t count, T new_t, T old_t) { const size_t N = Lanes(d); const Vec old_v = Set(d, old_t); const Vec new_v = Set(d, new_t); size_t idx = 0; if (count >= N) { for (; idx <= count - N; idx += N) { Vec v = LoadU(d, inout + idx); StoreU(IfThenElse(Eq(v, old_v), new_v, v), d, inout + idx); } } // `count` was a multiple of the vector length `N`: already done. if (HWY_UNLIKELY(idx == count)) return; const size_t remaining = count - idx; HWY_DASSERT(0 != remaining && remaining < N); const Vec v = LoadN(d, inout + idx, remaining); StoreN(IfThenElse(Eq(v, old_v), new_v, v), d, inout + idx, remaining); } template > void ReplaceIf(D d, T* HWY_RESTRICT inout, size_t count, T new_t, const Func& func) { const size_t N = Lanes(d); const Vec new_v = Set(d, new_t); size_t idx = 0; if (count >= N) { for (; idx <= count - N; idx += N) { Vec v = LoadU(d, inout + idx); StoreU(IfThenElse(func(d, v), new_v, v), d, inout + idx); } } // `count` was a multiple of the vector length `N`: already done. if (HWY_UNLIKELY(idx == count)) return; const size_t remaining = count - idx; HWY_DASSERT(0 != remaining && remaining < N); const Vec v = LoadN(d, inout + idx, remaining); StoreN(IfThenElse(func(d, v), new_v, v), d, inout + idx, remaining); } // NOLINTNEXTLINE(google-readability-namespace-comments) } // namespace HWY_NAMESPACE } // namespace hwy HWY_AFTER_NAMESPACE(); #endif // HIGHWAY_HWY_CONTRIB_ALGO_TRANSFORM_INL_H_ highway-1.3.0/hwy/contrib/algo/transform_test.cc000066400000000000000000000346651504730760100217460ustar00rootroot00000000000000// Copyright 2022 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include // memcpy #include #include "hwy/aligned_allocator.h" #include "hwy/base.h" // clang-format off #undef HWY_TARGET_INCLUDE #define HWY_TARGET_INCLUDE "hwy/contrib/algo/transform_test.cc" //NOLINT #include "hwy/foreach_target.h" // IWYU pragma: keep #include "hwy/highway.h" #include "hwy/contrib/algo/transform-inl.h" #include "hwy/tests/test_util-inl.h" // clang-format on // If your project requires C++14 or later, you can ignore this and pass lambdas // directly to Transform, without requiring an lvalue as we do here for C++11. #if __cplusplus < 201402L #define HWY_GENERIC_LAMBDA 0 #else #define HWY_GENERIC_LAMBDA 1 #endif HWY_BEFORE_NAMESPACE(); namespace hwy { namespace HWY_NAMESPACE { namespace { constexpr double kAlpha = 1.5; // arbitrary scalar // Returns random floating-point number in [-8, 8) to ensure computations do // not exceed float32 precision. template T Random(RandomState& rng) { const int32_t bits = static_cast(Random32(&rng)) & 1023; const double val = (bits - 512) / 64.0; // Clamp negative to zero for unsigned types. return ConvertScalarTo( HWY_MAX(ConvertScalarTo(hwy::LowestValue()), val)); } // SCAL, AXPY names are from BLAS. template HWY_NOINLINE void SimpleSCAL(const T* x, T* out, size_t count) { for (size_t i = 0; i < count; ++i) { out[i] = ConvertScalarTo(ConvertScalarTo(kAlpha) * x[i]); } } template HWY_NOINLINE void SimpleAXPY(const T* x, const T* y, T* out, size_t count) { for (size_t i = 0; i < count; ++i) { out[i] = ConvertScalarTo( ConvertScalarTo(ConvertScalarTo(kAlpha) * x[i]) + y[i]); } } template HWY_NOINLINE void SimpleFMA4(const T* x, const T* y, const T* z, T* out, size_t count) { for (size_t i = 0; i < count; ++i) { out[i] = ConvertScalarTo(x[i] * y[i] + z[i]); } } // In C++14, we can instead define these as generic lambdas next to where they // are invoked. #if !HWY_GENERIC_LAMBDA // Generator that returns even numbers by doubling the output indices. struct Gen2 { template Vec operator()(D d, VU vidx) const { return BitCast(d, Add(vidx, vidx)); } }; struct SCAL { template Vec operator()(D d, V v) const { using T = TFromD; return Mul(Set(d, ConvertScalarTo(kAlpha)), v); } }; struct AXPY { template Vec operator()(D d, V v, V v1) const { using T = TFromD; return MulAdd(Set(d, ConvertScalarTo(kAlpha)), v, v1); } }; struct FMA4 { template Vec operator()(D /*d*/, V v, V v1, V v2) const { return MulAdd(v, v1, v2); } }; #endif // !HWY_GENERIC_LAMBDA // Invokes Test (e.g. TestTransform1) with all arg combinations. T comes from // ForFloatTypes. template struct ForeachCountAndMisalign { template HWY_NOINLINE void operator()(T /*unused*/, D d) const { RandomState rng; const size_t N = Lanes(d); const size_t misalignments[3] = {0, N / 4, 3 * N / 5}; for (size_t count = 0; count < 2 * N; ++count) { for (size_t ma : misalignments) { for (size_t mb : misalignments) { Test()(d, count, ma, mb, rng); } } } } }; // Fills an array with random values, placing a given sentinel value both before // (when misalignment space is available) and after. Requires an allocation of // at least count + misalign + 1 elements. template T* FillRandom(AlignedFreeUniquePtr& pa, size_t count, size_t misalign, T sentinel, RandomState& rng) { for (size_t i = 0; i < misalign; ++i) { pa[i] = sentinel; } T* a = pa.get() + misalign; for (size_t i = 0; i < count; ++i) { a[i] = Random(rng); } a[count] = sentinel; return a; } // Output-only, no loads struct TestGenerate { template void operator()(D d, size_t count, size_t misalign_a, size_t /*misalign_b*/, RandomState& /*rng*/) { using T = TFromD; AlignedFreeUniquePtr pa = AllocateAligned(misalign_a + count + 1); AlignedFreeUniquePtr expected = AllocateAligned(HWY_MAX(1, count)); HWY_ASSERT(pa && expected); T* actual = pa.get() + misalign_a; for (size_t i = 0; i < count; ++i) { expected[i] = ConvertScalarTo(2 * i); } // TODO(janwas): can we update the apply_to in HWY_PUSH_ATTRIBUTES so that // the attribute also applies to lambdas? If so, remove HWY_ATTR. #if HWY_GENERIC_LAMBDA const auto gen2 = [](const auto d, const auto vidx) HWY_ATTR { return BitCast(d, Add(vidx, vidx)); }; #else const Gen2 gen2; #endif actual[count] = ConvertScalarTo(0); // sentinel Generate(d, actual, count, gen2); HWY_ASSERT_EQ(ConvertScalarTo(0), actual[count]); // no write past end const auto info = hwy::detail::MakeTypeInfo(); const char* target_name = hwy::TargetName(HWY_TARGET); hwy::detail::AssertArrayEqual(info, expected.get(), actual, count, target_name, __FILE__, __LINE__); } }; // Input-only, no stores struct TestForeach { template void operator()(D d, size_t count, size_t misalign_a, size_t misalign_b, RandomState& /*rng*/) { if (misalign_b != 0) return; using T = TFromD; AlignedFreeUniquePtr pa = AllocateAligned(misalign_a + count + 1); HWY_ASSERT(pa); T* actual = pa.get() + misalign_a; T max = hwy::LowestValue(); for (size_t i = 0; i < count; ++i) { actual[i] = hwy::ConvertScalarTo(i <= count / 2 ? 2 * i : i); max = HWY_MAX(max, actual[i]); } // Place sentinel values in the misalignment area and at the input's end. for (size_t i = 0; i < misalign_a; ++i) { pa[i] = ConvertScalarTo(2 * count); } actual[count] = ConvertScalarTo(2 * count); const Vec vmin = Set(d, hwy::LowestValue()); // TODO(janwas): can we update the apply_to in HWY_PUSH_ATTRIBUTES so that // the attribute also applies to lambdas? If so, remove HWY_ATTR. Vec vmax = vmin; const auto func = [&vmax](const D, const Vec v) HWY_ATTR { vmax = Max(vmax, v); }; Foreach(d, actual, count, vmin, func); const char* target_name = hwy::TargetName(HWY_TARGET); AssertEqual(max, ReduceMax(d, vmax), target_name, __FILE__, __LINE__); } }; // Zero extra input arrays struct TestTransform { template void operator()(D d, size_t count, size_t misalign_a, size_t misalign_b, RandomState& rng) { if (misalign_b != 0) return; using T = TFromD; // Prevents error if size to allocate is zero. AlignedFreeUniquePtr pa = AllocateAligned(HWY_MAX(1, misalign_a + count + 1)); AlignedFreeUniquePtr expected = AllocateAligned(HWY_MAX(1, count)); HWY_ASSERT(pa && expected); const T sentinel = ConvertScalarTo(-42); T* a = FillRandom(pa, count, misalign_a, sentinel, rng); SimpleSCAL(a, expected.get(), count); // TODO(janwas): can we update the apply_to in HWY_PUSH_ATTRIBUTES so that // the attribute also applies to lambdas? If so, remove HWY_ATTR. #if HWY_GENERIC_LAMBDA const auto scal = [](const auto d, const auto v) HWY_ATTR { return Mul(Set(d, ConvertScalarTo(kAlpha)), v); }; #else const SCAL scal; #endif Transform(d, a, count, scal); const auto info = hwy::detail::MakeTypeInfo(); const char* target_name = hwy::TargetName(HWY_TARGET); hwy::detail::AssertArrayEqual(info, expected.get(), a, count, target_name, __FILE__, __LINE__); // Ensure no out-of-bound writes. for (size_t i = 0; i < misalign_a; ++i) { HWY_ASSERT_EQ(sentinel, pa[i]); } HWY_ASSERT_EQ(sentinel, a[count]); } }; // One extra input array struct TestTransform1 { template void operator()(D d, size_t count, size_t misalign_a, size_t misalign_b, RandomState& rng) { using T = TFromD; // Prevents error if size to allocate is zero. AlignedFreeUniquePtr pa = AllocateAligned(HWY_MAX(1, misalign_a + count + 1)); AlignedFreeUniquePtr pb = AllocateAligned(HWY_MAX(1, misalign_b + count)); AlignedFreeUniquePtr expected = AllocateAligned(HWY_MAX(1, count)); HWY_ASSERT(pa && pb && expected); const T sentinel = ConvertScalarTo(-42); T* a = FillRandom(pa, count, misalign_a, sentinel, rng); T* b = pb.get() + misalign_b; for (size_t i = 0; i < count; ++i) { b[i] = Random(rng); } SimpleAXPY(a, b, expected.get(), count); #if HWY_GENERIC_LAMBDA const auto axpy = [](const auto d, const auto v, const auto v1) HWY_ATTR { return MulAdd(Set(d, ConvertScalarTo(kAlpha)), v, v1); }; #else const AXPY axpy; #endif Transform1(d, a, count, b, axpy); AssertArraySimilar(expected.get(), a, count, hwy::TargetName(HWY_TARGET), __FILE__, __LINE__); // Ensure no out-of-bound writes. for (size_t i = 0; i < misalign_a; ++i) { HWY_ASSERT_EQ(sentinel, pa[i]); } HWY_ASSERT_EQ(sentinel, a[count]); } }; // Two extra input arrays struct TestTransform2 { template void operator()(D d, size_t count, size_t misalign_a, size_t misalign_b, RandomState& rng) { using T = TFromD; // Prevents error if size to allocate is zero. AlignedFreeUniquePtr pa = AllocateAligned(HWY_MAX(1, misalign_a + count + 1)); AlignedFreeUniquePtr pb = AllocateAligned(HWY_MAX(1, misalign_b + count)); AlignedFreeUniquePtr pc = AllocateAligned(HWY_MAX(1, misalign_a + count)); AlignedFreeUniquePtr expected = AllocateAligned(HWY_MAX(1, count)); HWY_ASSERT(pa && pb && pc && expected); const T sentinel = ConvertScalarTo(-42); T* a = FillRandom(pa, count, misalign_a, sentinel, rng); T* b = pb.get() + misalign_b; T* c = pc.get() + misalign_a; for (size_t i = 0; i < count; ++i) { b[i] = Random(rng); c[i] = Random(rng); } SimpleFMA4(a, b, c, expected.get(), count); #if HWY_GENERIC_LAMBDA const auto fma4 = [](auto /*d*/, auto v, auto v1, auto v2) HWY_ATTR { return MulAdd(v, v1, v2); }; #else const FMA4 fma4; #endif Transform2(d, a, count, b, c, fma4); AssertArraySimilar(expected.get(), a, count, hwy::TargetName(HWY_TARGET), __FILE__, __LINE__); // Ensure no out-of-bound writes. for (size_t i = 0; i < misalign_a; ++i) { HWY_ASSERT_EQ(sentinel, pa[i]); } HWY_ASSERT_EQ(sentinel, a[count]); } }; template class IfEq { public: IfEq(T val) : val_(val) {} template Mask operator()(D d, V v) const { return Eq(v, Set(d, val_)); } private: T val_; }; struct TestReplace { template void operator()(D d, size_t count, size_t misalign_a, size_t misalign_b, RandomState& rng) { if (misalign_b != 0) return; if (count == 0) return; using T = TFromD; AlignedFreeUniquePtr pa = AllocateAligned(misalign_a + count + 1); AlignedFreeUniquePtr pb = AllocateAligned(count); AlignedFreeUniquePtr expected = AllocateAligned(count); HWY_ASSERT(pa && pb && expected); const T sentinel = ConvertScalarTo(-42); T* a = FillRandom(pa, count, misalign_a, sentinel, rng); std::vector positions(AdjustedReps(count)); for (size_t& pos : positions) { pos = static_cast(rng()) % count; } for (size_t pos = 0; pos < count; ++pos) { const T old_t = a[pos]; const T new_t = Random(rng); for (size_t i = 0; i < count; ++i) { expected[i] = IsEqual(a[i], old_t) ? new_t : a[i]; } // Copy so ReplaceIf gets the same input (and thus also outputs expected) memcpy(pb.get(), a, count * sizeof(T)); Replace(d, a, count, new_t, old_t); HWY_ASSERT_ARRAY_EQ(expected.get(), a, count); // Ensure no out-of-bound writes. for (size_t i = 0; i < misalign_a; ++i) { HWY_ASSERT_EQ(sentinel, pa[i]); } HWY_ASSERT_EQ(sentinel, a[count]); ReplaceIf(d, pb.get(), count, new_t, IfEq(old_t)); HWY_ASSERT_ARRAY_EQ(expected.get(), pb.get(), count); // Ensure no out-of-bound writes. for (size_t i = 0; i < misalign_a; ++i) { HWY_ASSERT_EQ(sentinel, pa[i]); } HWY_ASSERT_EQ(sentinel, a[count]); } } }; void TestAllGenerate() { // The test BitCast-s the indices, which does not work for floats. ForIntegerTypes(ForPartialVectors>()); } void TestAllForeach() { ForAllTypes(ForPartialVectors>()); } void TestAllTransform() { ForFloatTypes(ForPartialVectors>()); } void TestAllTransform1() { ForFloatTypes(ForPartialVectors>()); } void TestAllTransform2() { ForFloatTypes(ForPartialVectors>()); } void TestAllReplace() { ForFloatTypes(ForPartialVectors>()); } } // namespace // NOLINTNEXTLINE(google-readability-namespace-comments) } // namespace HWY_NAMESPACE } // namespace hwy HWY_AFTER_NAMESPACE(); #if HWY_ONCE namespace hwy { namespace { HWY_BEFORE_TEST(TransformTest); HWY_EXPORT_AND_TEST_P(TransformTest, TestAllGenerate); HWY_EXPORT_AND_TEST_P(TransformTest, TestAllForeach); HWY_EXPORT_AND_TEST_P(TransformTest, TestAllTransform); HWY_EXPORT_AND_TEST_P(TransformTest, TestAllTransform1); HWY_EXPORT_AND_TEST_P(TransformTest, TestAllTransform2); HWY_EXPORT_AND_TEST_P(TransformTest, TestAllReplace); HWY_AFTER_TEST(); } // namespace } // namespace hwy HWY_TEST_MAIN(); #endif // HWY_ONCE highway-1.3.0/hwy/contrib/bit_pack/000077500000000000000000000000001504730760100172015ustar00rootroot00000000000000highway-1.3.0/hwy/contrib/bit_pack/bit_pack-inl.h000066400000000000000000003404661504730760100217230ustar00rootroot00000000000000// Copyright 2022 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include #include #include "hwy/base.h" // Per-target include guard // clang-format off #if defined(HIGHWAY_HWY_CONTRIB_BIT_PACK_INL_H_) == defined(HWY_TARGET_TOGGLE) // NOLINT // clang-format on #ifdef HIGHWAY_HWY_CONTRIB_BIT_PACK_INL_H_ #undef HIGHWAY_HWY_CONTRIB_BIT_PACK_INL_H_ #else #define HIGHWAY_HWY_CONTRIB_BIT_PACK_INL_H_ #endif #include "hwy/highway.h" HWY_BEFORE_NAMESPACE(); namespace hwy { namespace HWY_NAMESPACE { // The entry points are class templates specialized below for each number of // bits. Each provides Pack and Unpack member functions which load (Pack) or // store (Unpack) B raw vectors, and store (Pack) or load (Unpack) a number of // packed vectors equal to kBits. B denotes the bits per lane: 8 for Pack8, 16 // for Pack16, 32 for Pack32 which is also the upper bound for kBits. template // <= 8 struct Pack8 {}; template // <= 16 struct Pack16 {}; template <> struct Pack8<1> { template HWY_INLINE void Pack(D8 d8, const uint8_t* HWY_RESTRICT raw, uint8_t* HWY_RESTRICT packed_out) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); // 16-bit shifts avoid masking (bits will not cross 8-bit lanes). const VU16 raw0 = BitCast(d16, LoadU(d8, raw + 0 * N8)); const VU16 raw1 = BitCast(d16, LoadU(d8, raw + 1 * N8)); const VU16 raw2 = BitCast(d16, LoadU(d8, raw + 2 * N8)); const VU16 raw3 = BitCast(d16, LoadU(d8, raw + 3 * N8)); const VU16 raw4 = BitCast(d16, LoadU(d8, raw + 4 * N8)); const VU16 raw5 = BitCast(d16, LoadU(d8, raw + 5 * N8)); const VU16 raw6 = BitCast(d16, LoadU(d8, raw + 6 * N8)); const VU16 raw7 = BitCast(d16, LoadU(d8, raw + 7 * N8)); const VU16 packed = Xor3(Or(ShiftLeft<7>(raw7), ShiftLeft<6>(raw6)), Xor3(ShiftLeft<5>(raw5), ShiftLeft<4>(raw4), ShiftLeft<3>(raw3)), Xor3(ShiftLeft<2>(raw2), ShiftLeft<1>(raw1), raw0)); StoreU(BitCast(d8, packed), d8, packed_out); } template HWY_INLINE void Unpack(D8 d8, const uint8_t* HWY_RESTRICT packed_in, uint8_t* HWY_RESTRICT raw) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); const VU16 mask = Set(d16, 0x0101u); // LSB in each byte const VU16 packed = BitCast(d16, LoadU(d8, packed_in)); const VU16 raw0 = And(packed, mask); StoreU(BitCast(d8, raw0), d8, raw + 0 * N8); const VU16 raw1 = And(ShiftRight<1>(packed), mask); StoreU(BitCast(d8, raw1), d8, raw + 1 * N8); const VU16 raw2 = And(ShiftRight<2>(packed), mask); StoreU(BitCast(d8, raw2), d8, raw + 2 * N8); const VU16 raw3 = And(ShiftRight<3>(packed), mask); StoreU(BitCast(d8, raw3), d8, raw + 3 * N8); const VU16 raw4 = And(ShiftRight<4>(packed), mask); StoreU(BitCast(d8, raw4), d8, raw + 4 * N8); const VU16 raw5 = And(ShiftRight<5>(packed), mask); StoreU(BitCast(d8, raw5), d8, raw + 5 * N8); const VU16 raw6 = And(ShiftRight<6>(packed), mask); StoreU(BitCast(d8, raw6), d8, raw + 6 * N8); const VU16 raw7 = And(ShiftRight<7>(packed), mask); StoreU(BitCast(d8, raw7), d8, raw + 7 * N8); } }; // Pack8<1> template <> struct Pack8<2> { template HWY_INLINE void Pack(D8 d8, const uint8_t* HWY_RESTRICT raw, uint8_t* HWY_RESTRICT packed_out) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); // 16-bit shifts avoid masking (bits will not cross 8-bit lanes). const VU16 raw0 = BitCast(d16, LoadU(d8, raw + 0 * N8)); const VU16 raw1 = BitCast(d16, LoadU(d8, raw + 1 * N8)); const VU16 raw2 = BitCast(d16, LoadU(d8, raw + 2 * N8)); const VU16 raw3 = BitCast(d16, LoadU(d8, raw + 3 * N8)); const VU16 raw4 = BitCast(d16, LoadU(d8, raw + 4 * N8)); const VU16 raw5 = BitCast(d16, LoadU(d8, raw + 5 * N8)); const VU16 raw6 = BitCast(d16, LoadU(d8, raw + 6 * N8)); const VU16 raw7 = BitCast(d16, LoadU(d8, raw + 7 * N8)); const VU16 packed0 = Xor3(ShiftLeft<6>(raw6), ShiftLeft<4>(raw4), Or(ShiftLeft<2>(raw2), raw0)); const VU16 packed1 = Xor3(ShiftLeft<6>(raw7), ShiftLeft<4>(raw5), Or(ShiftLeft<2>(raw3), raw1)); StoreU(BitCast(d8, packed0), d8, packed_out + 0 * N8); StoreU(BitCast(d8, packed1), d8, packed_out + 1 * N8); } template HWY_INLINE void Unpack(D8 d8, const uint8_t* HWY_RESTRICT packed_in, uint8_t* HWY_RESTRICT raw) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); const VU16 mask = Set(d16, 0x0303u); // Lowest 2 bits per byte const VU16 packed0 = BitCast(d16, LoadU(d8, packed_in + 0 * N8)); const VU16 packed1 = BitCast(d16, LoadU(d8, packed_in + 1 * N8)); const VU16 raw0 = And(packed0, mask); StoreU(BitCast(d8, raw0), d8, raw + 0 * N8); const VU16 raw1 = And(packed1, mask); StoreU(BitCast(d8, raw1), d8, raw + 1 * N8); const VU16 raw2 = And(ShiftRight<2>(packed0), mask); StoreU(BitCast(d8, raw2), d8, raw + 2 * N8); const VU16 raw3 = And(ShiftRight<2>(packed1), mask); StoreU(BitCast(d8, raw3), d8, raw + 3 * N8); const VU16 raw4 = And(ShiftRight<4>(packed0), mask); StoreU(BitCast(d8, raw4), d8, raw + 4 * N8); const VU16 raw5 = And(ShiftRight<4>(packed1), mask); StoreU(BitCast(d8, raw5), d8, raw + 5 * N8); const VU16 raw6 = And(ShiftRight<6>(packed0), mask); StoreU(BitCast(d8, raw6), d8, raw + 6 * N8); const VU16 raw7 = And(ShiftRight<6>(packed1), mask); StoreU(BitCast(d8, raw7), d8, raw + 7 * N8); } }; // Pack8<2> template <> struct Pack8<3> { template HWY_INLINE void Pack(D8 d8, const uint8_t* HWY_RESTRICT raw, uint8_t* HWY_RESTRICT packed_out) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); const VU16 raw0 = BitCast(d16, LoadU(d8, raw + 0 * N8)); const VU16 raw1 = BitCast(d16, LoadU(d8, raw + 1 * N8)); const VU16 raw2 = BitCast(d16, LoadU(d8, raw + 2 * N8)); const VU16 raw3 = BitCast(d16, LoadU(d8, raw + 3 * N8)); const VU16 raw4 = BitCast(d16, LoadU(d8, raw + 4 * N8)); const VU16 raw5 = BitCast(d16, LoadU(d8, raw + 5 * N8)); const VU16 raw6 = BitCast(d16, LoadU(d8, raw + 6 * N8)); const VU16 raw7 = BitCast(d16, LoadU(d8, raw + 7 * N8)); // The upper two bits of these three will be filled with packed3 (6 bits). VU16 packed0 = Or(ShiftLeft<3>(raw4), raw0); VU16 packed1 = Or(ShiftLeft<3>(raw5), raw1); VU16 packed2 = Or(ShiftLeft<3>(raw6), raw2); const VU16 packed3 = Or(ShiftLeft<3>(raw7), raw3); const VU16 hi2 = Set(d16, 0xC0C0u); packed0 = OrAnd(packed0, ShiftLeft<2>(packed3), hi2); packed1 = OrAnd(packed1, ShiftLeft<4>(packed3), hi2); packed2 = OrAnd(packed2, ShiftLeft<6>(packed3), hi2); StoreU(BitCast(d8, packed0), d8, packed_out + 0 * N8); StoreU(BitCast(d8, packed1), d8, packed_out + 1 * N8); StoreU(BitCast(d8, packed2), d8, packed_out + 2 * N8); } template HWY_INLINE void Unpack(D8 d8, const uint8_t* HWY_RESTRICT packed_in, uint8_t* HWY_RESTRICT raw) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); const VU16 mask = Set(d16, 0x0707u); // Lowest 3 bits per byte const VU16 packed0 = BitCast(d16, LoadU(d8, packed_in + 0 * N8)); const VU16 packed1 = BitCast(d16, LoadU(d8, packed_in + 1 * N8)); const VU16 packed2 = BitCast(d16, LoadU(d8, packed_in + 2 * N8)); const VU16 raw0 = And(packed0, mask); StoreU(BitCast(d8, raw0), d8, raw + 0 * N8); const VU16 raw1 = And(packed1, mask); StoreU(BitCast(d8, raw1), d8, raw + 1 * N8); const VU16 raw2 = And(packed2, mask); StoreU(BitCast(d8, raw2), d8, raw + 2 * N8); const VU16 raw4 = And(ShiftRight<3>(packed0), mask); StoreU(BitCast(d8, raw4), d8, raw + 4 * N8); const VU16 raw5 = And(ShiftRight<3>(packed1), mask); StoreU(BitCast(d8, raw5), d8, raw + 5 * N8); const VU16 raw6 = And(ShiftRight<3>(packed2), mask); StoreU(BitCast(d8, raw6), d8, raw + 6 * N8); // raw73 is the concatenation of the upper two bits in packed0..2. const VU16 hi2 = Set(d16, 0xC0C0u); const VU16 raw73 = Xor3(ShiftRight<6>(And(packed2, hi2)), // ShiftRight<4>(And(packed1, hi2)), ShiftRight<2>(And(packed0, hi2))); const VU16 raw3 = And(mask, raw73); StoreU(BitCast(d8, raw3), d8, raw + 3 * N8); const VU16 raw7 = And(mask, ShiftRight<3>(raw73)); StoreU(BitCast(d8, raw7), d8, raw + 7 * N8); } }; // Pack8<3> template <> struct Pack8<4> { template HWY_INLINE void Pack(D8 d8, const uint8_t* HWY_RESTRICT raw, uint8_t* HWY_RESTRICT packed_out) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); // 16-bit shifts avoid masking (bits will not cross 8-bit lanes). const VU16 raw0 = BitCast(d16, LoadU(d8, raw + 0 * N8)); const VU16 raw1 = BitCast(d16, LoadU(d8, raw + 1 * N8)); const VU16 raw2 = BitCast(d16, LoadU(d8, raw + 2 * N8)); const VU16 raw3 = BitCast(d16, LoadU(d8, raw + 3 * N8)); const VU16 raw4 = BitCast(d16, LoadU(d8, raw + 4 * N8)); const VU16 raw5 = BitCast(d16, LoadU(d8, raw + 5 * N8)); const VU16 raw6 = BitCast(d16, LoadU(d8, raw + 6 * N8)); const VU16 raw7 = BitCast(d16, LoadU(d8, raw + 7 * N8)); const VU16 packed0 = Or(ShiftLeft<4>(raw2), raw0); const VU16 packed1 = Or(ShiftLeft<4>(raw3), raw1); const VU16 packed2 = Or(ShiftLeft<4>(raw6), raw4); const VU16 packed3 = Or(ShiftLeft<4>(raw7), raw5); StoreU(BitCast(d8, packed0), d8, packed_out + 0 * N8); StoreU(BitCast(d8, packed1), d8, packed_out + 1 * N8); StoreU(BitCast(d8, packed2), d8, packed_out + 2 * N8); StoreU(BitCast(d8, packed3), d8, packed_out + 3 * N8); } template HWY_INLINE void Unpack(D8 d8, const uint8_t* HWY_RESTRICT packed_in, uint8_t* HWY_RESTRICT raw) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); const VU16 mask = Set(d16, 0x0F0Fu); // Lowest 4 bits per byte const VU16 packed0 = BitCast(d16, LoadU(d8, packed_in + 0 * N8)); const VU16 packed1 = BitCast(d16, LoadU(d8, packed_in + 1 * N8)); const VU16 packed2 = BitCast(d16, LoadU(d8, packed_in + 2 * N8)); const VU16 packed3 = BitCast(d16, LoadU(d8, packed_in + 3 * N8)); const VU16 raw0 = And(packed0, mask); StoreU(BitCast(d8, raw0), d8, raw + 0 * N8); const VU16 raw1 = And(packed1, mask); StoreU(BitCast(d8, raw1), d8, raw + 1 * N8); const VU16 raw2 = And(ShiftRight<4>(packed0), mask); StoreU(BitCast(d8, raw2), d8, raw + 2 * N8); const VU16 raw3 = And(ShiftRight<4>(packed1), mask); StoreU(BitCast(d8, raw3), d8, raw + 3 * N8); const VU16 raw4 = And(packed2, mask); StoreU(BitCast(d8, raw4), d8, raw + 4 * N8); const VU16 raw5 = And(packed3, mask); StoreU(BitCast(d8, raw5), d8, raw + 5 * N8); const VU16 raw6 = And(ShiftRight<4>(packed2), mask); StoreU(BitCast(d8, raw6), d8, raw + 6 * N8); const VU16 raw7 = And(ShiftRight<4>(packed3), mask); StoreU(BitCast(d8, raw7), d8, raw + 7 * N8); } }; // Pack8<4> template <> struct Pack8<5> { template HWY_INLINE void Pack(D8 d8, const uint8_t* HWY_RESTRICT raw, uint8_t* HWY_RESTRICT packed_out) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); const VU16 raw0 = BitCast(d16, LoadU(d8, raw + 0 * N8)); const VU16 raw1 = BitCast(d16, LoadU(d8, raw + 1 * N8)); const VU16 raw2 = BitCast(d16, LoadU(d8, raw + 2 * N8)); const VU16 raw3 = BitCast(d16, LoadU(d8, raw + 3 * N8)); const VU16 raw4 = BitCast(d16, LoadU(d8, raw + 4 * N8)); const VU16 raw5 = BitCast(d16, LoadU(d8, raw + 5 * N8)); const VU16 raw6 = BitCast(d16, LoadU(d8, raw + 6 * N8)); const VU16 raw7 = BitCast(d16, LoadU(d8, raw + 7 * N8)); // Fill upper three bits with upper bits from raw4..7. const VU16 hi3 = Set(d16, 0xE0E0u); const VU16 packed0 = OrAnd(raw0, ShiftLeft<3>(raw4), hi3); const VU16 packed1 = OrAnd(raw1, ShiftLeft<3>(raw5), hi3); const VU16 packed2 = OrAnd(raw2, ShiftLeft<3>(raw6), hi3); const VU16 packed3 = OrAnd(raw3, ShiftLeft<3>(raw7), hi3); StoreU(BitCast(d8, packed0), d8, packed_out + 0 * N8); StoreU(BitCast(d8, packed1), d8, packed_out + 1 * N8); StoreU(BitCast(d8, packed2), d8, packed_out + 2 * N8); StoreU(BitCast(d8, packed3), d8, packed_out + 3 * N8); // Combine lower two bits of raw4..7 into packed4. const VU16 lo2 = Set(d16, 0x0303u); const VU16 packed4 = Or(And(raw4, lo2), Xor3(ShiftLeft<2>(And(raw5, lo2)), ShiftLeft<4>(And(raw6, lo2)), ShiftLeft<6>(And(raw7, lo2)))); StoreU(BitCast(d8, packed4), d8, packed_out + 4 * N8); } template HWY_INLINE void Unpack(D8 d8, const uint8_t* HWY_RESTRICT packed_in, uint8_t* HWY_RESTRICT raw) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); const VU16 packed0 = BitCast(d16, LoadU(d8, packed_in + 0 * N8)); const VU16 packed1 = BitCast(d16, LoadU(d8, packed_in + 1 * N8)); const VU16 packed2 = BitCast(d16, LoadU(d8, packed_in + 2 * N8)); const VU16 packed3 = BitCast(d16, LoadU(d8, packed_in + 3 * N8)); const VU16 packed4 = BitCast(d16, LoadU(d8, packed_in + 4 * N8)); const VU16 mask = Set(d16, 0x1F1Fu); // Lowest 5 bits per byte const VU16 raw0 = And(packed0, mask); StoreU(BitCast(d8, raw0), d8, raw + 0 * N8); const VU16 raw1 = And(packed1, mask); StoreU(BitCast(d8, raw1), d8, raw + 1 * N8); const VU16 raw2 = And(packed2, mask); StoreU(BitCast(d8, raw2), d8, raw + 2 * N8); const VU16 raw3 = And(packed3, mask); StoreU(BitCast(d8, raw3), d8, raw + 3 * N8); // The upper bits are the top 3 bits shifted right by three. const VU16 top4 = ShiftRight<3>(AndNot(mask, packed0)); const VU16 top5 = ShiftRight<3>(AndNot(mask, packed1)); const VU16 top6 = ShiftRight<3>(AndNot(mask, packed2)); const VU16 top7 = ShiftRight<3>(AndNot(mask, packed3)); // Insert the lower 2 bits, which were concatenated into a byte. const VU16 lo2 = Set(d16, 0x0303u); const VU16 raw4 = OrAnd(top4, lo2, packed4); const VU16 raw5 = OrAnd(top5, lo2, ShiftRight<2>(packed4)); const VU16 raw6 = OrAnd(top6, lo2, ShiftRight<4>(packed4)); const VU16 raw7 = OrAnd(top7, lo2, ShiftRight<6>(packed4)); StoreU(BitCast(d8, raw4), d8, raw + 4 * N8); StoreU(BitCast(d8, raw5), d8, raw + 5 * N8); StoreU(BitCast(d8, raw6), d8, raw + 6 * N8); StoreU(BitCast(d8, raw7), d8, raw + 7 * N8); } }; // Pack8<5> template <> struct Pack8<6> { template HWY_INLINE void Pack(D8 d8, const uint8_t* HWY_RESTRICT raw, uint8_t* HWY_RESTRICT packed_out) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); const VU16 raw0 = BitCast(d16, LoadU(d8, raw + 0 * N8)); const VU16 raw1 = BitCast(d16, LoadU(d8, raw + 1 * N8)); const VU16 raw2 = BitCast(d16, LoadU(d8, raw + 2 * N8)); const VU16 raw3 = BitCast(d16, LoadU(d8, raw + 3 * N8)); const VU16 raw4 = BitCast(d16, LoadU(d8, raw + 4 * N8)); const VU16 raw5 = BitCast(d16, LoadU(d8, raw + 5 * N8)); const VU16 raw6 = BitCast(d16, LoadU(d8, raw + 6 * N8)); const VU16 raw7 = BitCast(d16, LoadU(d8, raw + 7 * N8)); const VU16 hi2 = Set(d16, 0xC0C0u); // Each triplet of these stores raw3/raw7 (6 bits) in the upper 2 bits. const VU16 packed0 = OrAnd(raw0, ShiftLeft<2>(raw3), hi2); const VU16 packed1 = OrAnd(raw1, ShiftLeft<4>(raw3), hi2); const VU16 packed2 = OrAnd(raw2, ShiftLeft<6>(raw3), hi2); const VU16 packed3 = OrAnd(raw4, ShiftLeft<2>(raw7), hi2); const VU16 packed4 = OrAnd(raw5, ShiftLeft<4>(raw7), hi2); const VU16 packed5 = OrAnd(raw6, ShiftLeft<6>(raw7), hi2); StoreU(BitCast(d8, packed0), d8, packed_out + 0 * N8); StoreU(BitCast(d8, packed1), d8, packed_out + 1 * N8); StoreU(BitCast(d8, packed2), d8, packed_out + 2 * N8); StoreU(BitCast(d8, packed3), d8, packed_out + 3 * N8); StoreU(BitCast(d8, packed4), d8, packed_out + 4 * N8); StoreU(BitCast(d8, packed5), d8, packed_out + 5 * N8); } template HWY_INLINE void Unpack(D8 d8, const uint8_t* HWY_RESTRICT packed_in, uint8_t* HWY_RESTRICT raw) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); const VU16 mask = Set(d16, 0x3F3Fu); // Lowest 6 bits per byte const VU16 packed0 = BitCast(d16, LoadU(d8, packed_in + 0 * N8)); const VU16 packed1 = BitCast(d16, LoadU(d8, packed_in + 1 * N8)); const VU16 packed2 = BitCast(d16, LoadU(d8, packed_in + 2 * N8)); const VU16 packed3 = BitCast(d16, LoadU(d8, packed_in + 3 * N8)); const VU16 packed4 = BitCast(d16, LoadU(d8, packed_in + 4 * N8)); const VU16 packed5 = BitCast(d16, LoadU(d8, packed_in + 5 * N8)); const VU16 raw0 = And(packed0, mask); StoreU(BitCast(d8, raw0), d8, raw + 0 * N8); const VU16 raw1 = And(packed1, mask); StoreU(BitCast(d8, raw1), d8, raw + 1 * N8); const VU16 raw2 = And(packed2, mask); StoreU(BitCast(d8, raw2), d8, raw + 2 * N8); const VU16 raw4 = And(packed3, mask); StoreU(BitCast(d8, raw4), d8, raw + 4 * N8); const VU16 raw5 = And(packed4, mask); StoreU(BitCast(d8, raw5), d8, raw + 5 * N8); const VU16 raw6 = And(packed5, mask); StoreU(BitCast(d8, raw6), d8, raw + 6 * N8); // raw3/7 are the concatenation of the upper two bits in packed0..2. const VU16 raw3 = Xor3(ShiftRight<6>(AndNot(mask, packed2)), ShiftRight<4>(AndNot(mask, packed1)), ShiftRight<2>(AndNot(mask, packed0))); const VU16 raw7 = Xor3(ShiftRight<6>(AndNot(mask, packed5)), ShiftRight<4>(AndNot(mask, packed4)), ShiftRight<2>(AndNot(mask, packed3))); StoreU(BitCast(d8, raw3), d8, raw + 3 * N8); StoreU(BitCast(d8, raw7), d8, raw + 7 * N8); } }; // Pack8<6> template <> struct Pack8<7> { template HWY_INLINE void Pack(D8 d8, const uint8_t* HWY_RESTRICT raw, uint8_t* HWY_RESTRICT packed_out) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); const VU16 raw0 = BitCast(d16, LoadU(d8, raw + 0 * N8)); const VU16 raw1 = BitCast(d16, LoadU(d8, raw + 1 * N8)); const VU16 raw2 = BitCast(d16, LoadU(d8, raw + 2 * N8)); const VU16 raw3 = BitCast(d16, LoadU(d8, raw + 3 * N8)); const VU16 raw4 = BitCast(d16, LoadU(d8, raw + 4 * N8)); const VU16 raw5 = BitCast(d16, LoadU(d8, raw + 5 * N8)); const VU16 raw6 = BitCast(d16, LoadU(d8, raw + 6 * N8)); // Inserted into top bit of packed0..6. const VU16 raw7 = BitCast(d16, LoadU(d8, raw + 7 * N8)); const VU16 hi1 = Set(d16, 0x8080u); const VU16 packed0 = OrAnd(raw0, Add(raw7, raw7), hi1); const VU16 packed1 = OrAnd(raw1, ShiftLeft<2>(raw7), hi1); const VU16 packed2 = OrAnd(raw2, ShiftLeft<3>(raw7), hi1); const VU16 packed3 = OrAnd(raw3, ShiftLeft<4>(raw7), hi1); const VU16 packed4 = OrAnd(raw4, ShiftLeft<5>(raw7), hi1); const VU16 packed5 = OrAnd(raw5, ShiftLeft<6>(raw7), hi1); const VU16 packed6 = OrAnd(raw6, ShiftLeft<7>(raw7), hi1); StoreU(BitCast(d8, packed0), d8, packed_out + 0 * N8); StoreU(BitCast(d8, packed1), d8, packed_out + 1 * N8); StoreU(BitCast(d8, packed2), d8, packed_out + 2 * N8); StoreU(BitCast(d8, packed3), d8, packed_out + 3 * N8); StoreU(BitCast(d8, packed4), d8, packed_out + 4 * N8); StoreU(BitCast(d8, packed5), d8, packed_out + 5 * N8); StoreU(BitCast(d8, packed6), d8, packed_out + 6 * N8); } template HWY_INLINE void Unpack(D8 d8, const uint8_t* HWY_RESTRICT packed_in, uint8_t* HWY_RESTRICT raw) const { const RepartitionToWide d16; using VU16 = Vec; const size_t N8 = Lanes(d8); const VU16 packed0 = BitCast(d16, LoadU(d8, packed_in + 0 * N8)); const VU16 packed1 = BitCast(d16, LoadU(d8, packed_in + 1 * N8)); const VU16 packed2 = BitCast(d16, LoadU(d8, packed_in + 2 * N8)); const VU16 packed3 = BitCast(d16, LoadU(d8, packed_in + 3 * N8)); const VU16 packed4 = BitCast(d16, LoadU(d8, packed_in + 4 * N8)); const VU16 packed5 = BitCast(d16, LoadU(d8, packed_in + 5 * N8)); const VU16 packed6 = BitCast(d16, LoadU(d8, packed_in + 6 * N8)); const VU16 mask = Set(d16, 0x7F7Fu); // Lowest 7 bits per byte const VU16 raw0 = And(packed0, mask); StoreU(BitCast(d8, raw0), d8, raw + 0 * N8); const VU16 raw1 = And(packed1, mask); StoreU(BitCast(d8, raw1), d8, raw + 1 * N8); const VU16 raw2 = And(packed2, mask); StoreU(BitCast(d8, raw2), d8, raw + 2 * N8); const VU16 raw3 = And(packed3, mask); StoreU(BitCast(d8, raw3), d8, raw + 3 * N8); const VU16 raw4 = And(packed4, mask); StoreU(BitCast(d8, raw4), d8, raw + 4 * N8); const VU16 raw5 = And(packed5, mask); StoreU(BitCast(d8, raw5), d8, raw + 5 * N8); const VU16 raw6 = And(packed6, mask); StoreU(BitCast(d8, raw6), d8, raw + 6 * N8); const VU16 p0 = Xor3(ShiftRight<7>(AndNot(mask, packed6)), ShiftRight<6>(AndNot(mask, packed5)), ShiftRight<5>(AndNot(mask, packed4))); const VU16 p1 = Xor3(ShiftRight<4>(AndNot(mask, packed3)), ShiftRight<3>(AndNot(mask, packed2)), ShiftRight<2>(AndNot(mask, packed1))); const VU16 raw7 = Xor3(ShiftRight<1>(AndNot(mask, packed0)), p0, p1); StoreU(BitCast(d8, raw7), d8, raw + 7 * N8); } }; // Pack8<7> template <> struct Pack8<8> { template HWY_INLINE void Pack(D8 d8, const uint8_t* HWY_RESTRICT raw, uint8_t* HWY_RESTRICT packed_out) const { using VU8 = Vec; const size_t N8 = Lanes(d8); const VU8 raw0 = LoadU(d8, raw + 0 * N8); const VU8 raw1 = LoadU(d8, raw + 1 * N8); const VU8 raw2 = LoadU(d8, raw + 2 * N8); const VU8 raw3 = LoadU(d8, raw + 3 * N8); const VU8 raw4 = LoadU(d8, raw + 4 * N8); const VU8 raw5 = LoadU(d8, raw + 5 * N8); const VU8 raw6 = LoadU(d8, raw + 6 * N8); const VU8 raw7 = LoadU(d8, raw + 7 * N8); StoreU(raw0, d8, packed_out + 0 * N8); StoreU(raw1, d8, packed_out + 1 * N8); StoreU(raw2, d8, packed_out + 2 * N8); StoreU(raw3, d8, packed_out + 3 * N8); StoreU(raw4, d8, packed_out + 4 * N8); StoreU(raw5, d8, packed_out + 5 * N8); StoreU(raw6, d8, packed_out + 6 * N8); StoreU(raw7, d8, packed_out + 7 * N8); } template HWY_INLINE void Unpack(D8 d8, const uint8_t* HWY_RESTRICT packed_in, uint8_t* HWY_RESTRICT raw) const { using VU8 = Vec; const size_t N8 = Lanes(d8); const VU8 raw0 = LoadU(d8, packed_in + 0 * N8); const VU8 raw1 = LoadU(d8, packed_in + 1 * N8); const VU8 raw2 = LoadU(d8, packed_in + 2 * N8); const VU8 raw3 = LoadU(d8, packed_in + 3 * N8); const VU8 raw4 = LoadU(d8, packed_in + 4 * N8); const VU8 raw5 = LoadU(d8, packed_in + 5 * N8); const VU8 raw6 = LoadU(d8, packed_in + 6 * N8); const VU8 raw7 = LoadU(d8, packed_in + 7 * N8); StoreU(raw0, d8, raw + 0 * N8); StoreU(raw1, d8, raw + 1 * N8); StoreU(raw2, d8, raw + 2 * N8); StoreU(raw3, d8, raw + 3 * N8); StoreU(raw4, d8, raw + 4 * N8); StoreU(raw5, d8, raw + 5 * N8); StoreU(raw6, d8, raw + 6 * N8); StoreU(raw7, d8, raw + 7 * N8); } }; // Pack8<8> template <> struct Pack16<1> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); const VU16 p0 = Xor3(ShiftLeft<2>(raw2), Add(raw1, raw1), raw0); const VU16 p1 = Xor3(ShiftLeft<5>(raw5), ShiftLeft<4>(raw4), ShiftLeft<3>(raw3)); const VU16 p2 = Xor3(ShiftLeft<8>(raw8), ShiftLeft<7>(raw7), ShiftLeft<6>(raw6)); const VU16 p3 = Xor3(ShiftLeft<0xB>(rawB), ShiftLeft<0xA>(rawA), ShiftLeft<9>(raw9)); const VU16 p4 = Xor3(ShiftLeft<0xE>(rawE), ShiftLeft<0xD>(rawD), ShiftLeft<0xC>(rawC)); const VU16 packed = Or(Xor3(ShiftLeft<0xF>(rawF), p0, p1), Xor3(p2, p3, p4)); StoreU(packed, d, packed_out); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 mask = Set(d, 1u); // Lowest bit const VU16 packed = LoadU(d, packed_in); const VU16 raw0 = And(packed, mask); StoreU(raw0, d, raw + 0 * N); const VU16 raw1 = And(ShiftRight<1>(packed), mask); StoreU(raw1, d, raw + 1 * N); const VU16 raw2 = And(ShiftRight<2>(packed), mask); StoreU(raw2, d, raw + 2 * N); const VU16 raw3 = And(ShiftRight<3>(packed), mask); StoreU(raw3, d, raw + 3 * N); const VU16 raw4 = And(ShiftRight<4>(packed), mask); StoreU(raw4, d, raw + 4 * N); const VU16 raw5 = And(ShiftRight<5>(packed), mask); StoreU(raw5, d, raw + 5 * N); const VU16 raw6 = And(ShiftRight<6>(packed), mask); StoreU(raw6, d, raw + 6 * N); const VU16 raw7 = And(ShiftRight<7>(packed), mask); StoreU(raw7, d, raw + 7 * N); const VU16 raw8 = And(ShiftRight<8>(packed), mask); StoreU(raw8, d, raw + 8 * N); const VU16 raw9 = And(ShiftRight<9>(packed), mask); StoreU(raw9, d, raw + 9 * N); const VU16 rawA = And(ShiftRight<0xA>(packed), mask); StoreU(rawA, d, raw + 0xA * N); const VU16 rawB = And(ShiftRight<0xB>(packed), mask); StoreU(rawB, d, raw + 0xB * N); const VU16 rawC = And(ShiftRight<0xC>(packed), mask); StoreU(rawC, d, raw + 0xC * N); const VU16 rawD = And(ShiftRight<0xD>(packed), mask); StoreU(rawD, d, raw + 0xD * N); const VU16 rawE = And(ShiftRight<0xE>(packed), mask); StoreU(rawE, d, raw + 0xE * N); const VU16 rawF = ShiftRight<0xF>(packed); StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<1> template <> struct Pack16<2> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); VU16 packed0 = Xor3(ShiftLeft<4>(raw4), ShiftLeft<2>(raw2), raw0); VU16 packed1 = Xor3(ShiftLeft<4>(raw5), ShiftLeft<2>(raw3), raw1); packed0 = Xor3(packed0, ShiftLeft<8>(raw8), ShiftLeft<6>(raw6)); packed1 = Xor3(packed1, ShiftLeft<8>(raw9), ShiftLeft<6>(raw7)); packed0 = Xor3(packed0, ShiftLeft<12>(rawC), ShiftLeft<10>(rawA)); packed1 = Xor3(packed1, ShiftLeft<12>(rawD), ShiftLeft<10>(rawB)); packed0 = Or(packed0, ShiftLeft<14>(rawE)); packed1 = Or(packed1, ShiftLeft<14>(rawF)); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 mask = Set(d, 0x3u); // Lowest 2 bits const VU16 packed0 = LoadU(d, packed_in + 0 * N); const VU16 packed1 = LoadU(d, packed_in + 1 * N); const VU16 raw0 = And(packed0, mask); StoreU(raw0, d, raw + 0 * N); const VU16 raw1 = And(packed1, mask); StoreU(raw1, d, raw + 1 * N); const VU16 raw2 = And(ShiftRight<2>(packed0), mask); StoreU(raw2, d, raw + 2 * N); const VU16 raw3 = And(ShiftRight<2>(packed1), mask); StoreU(raw3, d, raw + 3 * N); const VU16 raw4 = And(ShiftRight<4>(packed0), mask); StoreU(raw4, d, raw + 4 * N); const VU16 raw5 = And(ShiftRight<4>(packed1), mask); StoreU(raw5, d, raw + 5 * N); const VU16 raw6 = And(ShiftRight<6>(packed0), mask); StoreU(raw6, d, raw + 6 * N); const VU16 raw7 = And(ShiftRight<6>(packed1), mask); StoreU(raw7, d, raw + 7 * N); const VU16 raw8 = And(ShiftRight<8>(packed0), mask); StoreU(raw8, d, raw + 8 * N); const VU16 raw9 = And(ShiftRight<8>(packed1), mask); StoreU(raw9, d, raw + 9 * N); const VU16 rawA = And(ShiftRight<0xA>(packed0), mask); StoreU(rawA, d, raw + 0xA * N); const VU16 rawB = And(ShiftRight<0xA>(packed1), mask); StoreU(rawB, d, raw + 0xB * N); const VU16 rawC = And(ShiftRight<0xC>(packed0), mask); StoreU(rawC, d, raw + 0xC * N); const VU16 rawD = And(ShiftRight<0xC>(packed1), mask); StoreU(rawD, d, raw + 0xD * N); const VU16 rawE = ShiftRight<0xE>(packed0); StoreU(rawE, d, raw + 0xE * N); const VU16 rawF = ShiftRight<0xE>(packed1); StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<2> template <> struct Pack16<3> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); // We can fit 15 raw vectors in three packed vectors (five each). VU16 packed0 = Xor3(ShiftLeft<6>(raw6), ShiftLeft<3>(raw3), raw0); VU16 packed1 = Xor3(ShiftLeft<6>(raw7), ShiftLeft<3>(raw4), raw1); VU16 packed2 = Xor3(ShiftLeft<6>(raw8), ShiftLeft<3>(raw5), raw2); // rawF will be scattered into the upper bit of these three. packed0 = Xor3(packed0, ShiftLeft<12>(rawC), ShiftLeft<9>(raw9)); packed1 = Xor3(packed1, ShiftLeft<12>(rawD), ShiftLeft<9>(rawA)); packed2 = Xor3(packed2, ShiftLeft<12>(rawE), ShiftLeft<9>(rawB)); const VU16 hi1 = Set(d, 0x8000u); packed0 = Or(packed0, ShiftLeft<15>(rawF)); // MSB only, no mask packed1 = OrAnd(packed1, ShiftLeft<14>(rawF), hi1); packed2 = OrAnd(packed2, ShiftLeft<13>(rawF), hi1); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); StoreU(packed2, d, packed_out + 2 * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 mask = Set(d, 0x7u); // Lowest 3 bits const VU16 packed0 = LoadU(d, packed_in + 0 * N); const VU16 packed1 = LoadU(d, packed_in + 1 * N); const VU16 packed2 = LoadU(d, packed_in + 2 * N); const VU16 raw0 = And(mask, packed0); StoreU(raw0, d, raw + 0 * N); const VU16 raw1 = And(mask, packed1); StoreU(raw1, d, raw + 1 * N); const VU16 raw2 = And(mask, packed2); StoreU(raw2, d, raw + 2 * N); const VU16 raw3 = And(mask, ShiftRight<3>(packed0)); StoreU(raw3, d, raw + 3 * N); const VU16 raw4 = And(mask, ShiftRight<3>(packed1)); StoreU(raw4, d, raw + 4 * N); const VU16 raw5 = And(mask, ShiftRight<3>(packed2)); StoreU(raw5, d, raw + 5 * N); const VU16 raw6 = And(mask, ShiftRight<6>(packed0)); StoreU(raw6, d, raw + 6 * N); const VU16 raw7 = And(mask, ShiftRight<6>(packed1)); StoreU(raw7, d, raw + 7 * N); const VU16 raw8 = And(mask, ShiftRight<6>(packed2)); StoreU(raw8, d, raw + 8 * N); const VU16 raw9 = And(mask, ShiftRight<9>(packed0)); StoreU(raw9, d, raw + 9 * N); const VU16 rawA = And(mask, ShiftRight<9>(packed1)); StoreU(rawA, d, raw + 0xA * N); const VU16 rawB = And(mask, ShiftRight<9>(packed2)); StoreU(rawB, d, raw + 0xB * N); const VU16 rawC = And(mask, ShiftRight<12>(packed0)); StoreU(rawC, d, raw + 0xC * N); const VU16 rawD = And(mask, ShiftRight<12>(packed1)); StoreU(rawD, d, raw + 0xD * N); const VU16 rawE = And(mask, ShiftRight<12>(packed2)); StoreU(rawE, d, raw + 0xE * N); // rawF is the concatenation of the upper bit of packed0..2. const VU16 down0 = ShiftRight<15>(packed0); const VU16 down1 = ShiftRight<15>(packed1); const VU16 down2 = ShiftRight<15>(packed2); const VU16 rawF = Xor3(ShiftLeft<2>(down2), Add(down1, down1), down0); StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<3> template <> struct Pack16<4> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); VU16 packed0 = Xor3(ShiftLeft<8>(raw4), ShiftLeft<4>(raw2), raw0); VU16 packed1 = Xor3(ShiftLeft<8>(raw5), ShiftLeft<4>(raw3), raw1); packed0 = Or(packed0, ShiftLeft<12>(raw6)); packed1 = Or(packed1, ShiftLeft<12>(raw7)); VU16 packed2 = Xor3(ShiftLeft<8>(rawC), ShiftLeft<4>(rawA), raw8); VU16 packed3 = Xor3(ShiftLeft<8>(rawD), ShiftLeft<4>(rawB), raw9); packed2 = Or(packed2, ShiftLeft<12>(rawE)); packed3 = Or(packed3, ShiftLeft<12>(rawF)); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); StoreU(packed2, d, packed_out + 2 * N); StoreU(packed3, d, packed_out + 3 * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 mask = Set(d, 0xFu); // Lowest 4 bits const VU16 packed0 = LoadU(d, packed_in + 0 * N); const VU16 packed1 = LoadU(d, packed_in + 1 * N); const VU16 packed2 = LoadU(d, packed_in + 2 * N); const VU16 packed3 = LoadU(d, packed_in + 3 * N); const VU16 raw0 = And(packed0, mask); StoreU(raw0, d, raw + 0 * N); const VU16 raw1 = And(packed1, mask); StoreU(raw1, d, raw + 1 * N); const VU16 raw2 = And(ShiftRight<4>(packed0), mask); StoreU(raw2, d, raw + 2 * N); const VU16 raw3 = And(ShiftRight<4>(packed1), mask); StoreU(raw3, d, raw + 3 * N); const VU16 raw4 = And(ShiftRight<8>(packed0), mask); StoreU(raw4, d, raw + 4 * N); const VU16 raw5 = And(ShiftRight<8>(packed1), mask); StoreU(raw5, d, raw + 5 * N); const VU16 raw6 = ShiftRight<12>(packed0); // no mask required StoreU(raw6, d, raw + 6 * N); const VU16 raw7 = ShiftRight<12>(packed1); // no mask required StoreU(raw7, d, raw + 7 * N); const VU16 raw8 = And(packed2, mask); StoreU(raw8, d, raw + 8 * N); const VU16 raw9 = And(packed3, mask); StoreU(raw9, d, raw + 9 * N); const VU16 rawA = And(ShiftRight<4>(packed2), mask); StoreU(rawA, d, raw + 0xA * N); const VU16 rawB = And(ShiftRight<4>(packed3), mask); StoreU(rawB, d, raw + 0xB * N); const VU16 rawC = And(ShiftRight<8>(packed2), mask); StoreU(rawC, d, raw + 0xC * N); const VU16 rawD = And(ShiftRight<8>(packed3), mask); StoreU(rawD, d, raw + 0xD * N); const VU16 rawE = ShiftRight<12>(packed2); // no mask required StoreU(rawE, d, raw + 0xE * N); const VU16 rawF = ShiftRight<12>(packed3); // no mask required StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<4> template <> struct Pack16<5> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); // We can fit 15 raw vectors in five packed vectors (three each). VU16 packed0 = Xor3(ShiftLeft<10>(rawA), ShiftLeft<5>(raw5), raw0); VU16 packed1 = Xor3(ShiftLeft<10>(rawB), ShiftLeft<5>(raw6), raw1); VU16 packed2 = Xor3(ShiftLeft<10>(rawC), ShiftLeft<5>(raw7), raw2); VU16 packed3 = Xor3(ShiftLeft<10>(rawD), ShiftLeft<5>(raw8), raw3); VU16 packed4 = Xor3(ShiftLeft<10>(rawE), ShiftLeft<5>(raw9), raw4); // rawF will be scattered into the upper bits of these five. const VU16 hi1 = Set(d, 0x8000u); packed0 = Or(packed0, ShiftLeft<15>(rawF)); // MSB only, no mask packed1 = OrAnd(packed1, ShiftLeft<14>(rawF), hi1); packed2 = OrAnd(packed2, ShiftLeft<13>(rawF), hi1); packed3 = OrAnd(packed3, ShiftLeft<12>(rawF), hi1); packed4 = OrAnd(packed4, ShiftLeft<11>(rawF), hi1); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); StoreU(packed2, d, packed_out + 2 * N); StoreU(packed3, d, packed_out + 3 * N); StoreU(packed4, d, packed_out + 4 * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 packed0 = LoadU(d, packed_in + 0 * N); const VU16 packed1 = LoadU(d, packed_in + 1 * N); const VU16 packed2 = LoadU(d, packed_in + 2 * N); const VU16 packed3 = LoadU(d, packed_in + 3 * N); const VU16 packed4 = LoadU(d, packed_in + 4 * N); const VU16 mask = Set(d, 0x1Fu); // Lowest 5 bits const VU16 raw0 = And(packed0, mask); StoreU(raw0, d, raw + 0 * N); const VU16 raw1 = And(packed1, mask); StoreU(raw1, d, raw + 1 * N); const VU16 raw2 = And(packed2, mask); StoreU(raw2, d, raw + 2 * N); const VU16 raw3 = And(packed3, mask); StoreU(raw3, d, raw + 3 * N); const VU16 raw4 = And(packed4, mask); StoreU(raw4, d, raw + 4 * N); const VU16 raw5 = And(ShiftRight<5>(packed0), mask); StoreU(raw5, d, raw + 5 * N); const VU16 raw6 = And(ShiftRight<5>(packed1), mask); StoreU(raw6, d, raw + 6 * N); const VU16 raw7 = And(ShiftRight<5>(packed2), mask); StoreU(raw7, d, raw + 7 * N); const VU16 raw8 = And(ShiftRight<5>(packed3), mask); StoreU(raw8, d, raw + 8 * N); const VU16 raw9 = And(ShiftRight<5>(packed4), mask); StoreU(raw9, d, raw + 9 * N); const VU16 rawA = And(ShiftRight<10>(packed0), mask); StoreU(rawA, d, raw + 0xA * N); const VU16 rawB = And(ShiftRight<10>(packed1), mask); StoreU(rawB, d, raw + 0xB * N); const VU16 rawC = And(ShiftRight<10>(packed2), mask); StoreU(rawC, d, raw + 0xC * N); const VU16 rawD = And(ShiftRight<10>(packed3), mask); StoreU(rawD, d, raw + 0xD * N); const VU16 rawE = And(ShiftRight<10>(packed4), mask); StoreU(rawE, d, raw + 0xE * N); // rawF is the concatenation of the lower bit of packed0..4. const VU16 down0 = ShiftRight<15>(packed0); const VU16 down1 = ShiftRight<15>(packed1); const VU16 hi1 = Set(d, 0x8000u); const VU16 p0 = Xor3(ShiftRight<13>(And(packed2, hi1)), Add(down1, down1), down0); const VU16 rawF = Xor3(ShiftRight<11>(And(packed4, hi1)), ShiftRight<12>(And(packed3, hi1)), p0); StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<5> template <> struct Pack16<6> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); const VU16 packed3 = Or(ShiftLeft<6>(raw7), raw3); const VU16 packed7 = Or(ShiftLeft<6>(rawF), rawB); // Three vectors, two 6-bit raw each; packed3 (12 bits) is spread over the // four remainder bits at the top of each vector. const VU16 packed0 = Xor3(ShiftLeft<12>(packed3), ShiftLeft<6>(raw4), raw0); VU16 packed1 = Or(ShiftLeft<6>(raw5), raw1); VU16 packed2 = Or(ShiftLeft<6>(raw6), raw2); const VU16 packed4 = Xor3(ShiftLeft<12>(packed7), ShiftLeft<6>(rawC), raw8); VU16 packed5 = Or(ShiftLeft<6>(rawD), raw9); VU16 packed6 = Or(ShiftLeft<6>(rawE), rawA); const VU16 hi4 = Set(d, 0xF000u); packed1 = OrAnd(packed1, ShiftLeft<8>(packed3), hi4); packed2 = OrAnd(packed2, ShiftLeft<4>(packed3), hi4); packed5 = OrAnd(packed5, ShiftLeft<8>(packed7), hi4); packed6 = OrAnd(packed6, ShiftLeft<4>(packed7), hi4); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); StoreU(packed2, d, packed_out + 2 * N); StoreU(packed4, d, packed_out + 3 * N); StoreU(packed5, d, packed_out + 4 * N); StoreU(packed6, d, packed_out + 5 * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 mask = Set(d, 0x3Fu); // Lowest 6 bits const VU16 packed0 = LoadU(d, packed_in + 0 * N); const VU16 packed1 = LoadU(d, packed_in + 1 * N); const VU16 packed2 = LoadU(d, packed_in + 2 * N); const VU16 packed4 = LoadU(d, packed_in + 3 * N); const VU16 packed5 = LoadU(d, packed_in + 4 * N); const VU16 packed6 = LoadU(d, packed_in + 5 * N); const VU16 raw0 = And(packed0, mask); StoreU(raw0, d, raw + 0 * N); const VU16 raw1 = And(packed1, mask); StoreU(raw1, d, raw + 1 * N); const VU16 raw2 = And(packed2, mask); StoreU(raw2, d, raw + 2 * N); const VU16 raw4 = And(ShiftRight<6>(packed0), mask); StoreU(raw4, d, raw + 4 * N); const VU16 raw5 = And(ShiftRight<6>(packed1), mask); StoreU(raw5, d, raw + 5 * N); const VU16 raw6 = And(ShiftRight<6>(packed2), mask); StoreU(raw6, d, raw + 6 * N); const VU16 raw8 = And(packed4, mask); StoreU(raw8, d, raw + 8 * N); const VU16 raw9 = And(packed5, mask); StoreU(raw9, d, raw + 9 * N); const VU16 rawA = And(packed6, mask); StoreU(rawA, d, raw + 0xA * N); const VU16 rawC = And(ShiftRight<6>(packed4), mask); StoreU(rawC, d, raw + 0xC * N); const VU16 rawD = And(ShiftRight<6>(packed5), mask); StoreU(rawD, d, raw + 0xD * N); const VU16 rawE = And(ShiftRight<6>(packed6), mask); StoreU(rawE, d, raw + 0xE * N); // packed3 is the concatenation of the four upper bits in packed0..2. const VU16 down0 = ShiftRight<12>(packed0); const VU16 down4 = ShiftRight<12>(packed4); const VU16 hi4 = Set(d, 0xF000u); const VU16 packed3 = Xor3(ShiftRight<4>(And(packed2, hi4)), ShiftRight<8>(And(packed1, hi4)), down0); const VU16 packed7 = Xor3(ShiftRight<4>(And(packed6, hi4)), ShiftRight<8>(And(packed5, hi4)), down4); const VU16 raw3 = And(packed3, mask); StoreU(raw3, d, raw + 3 * N); const VU16 rawB = And(packed7, mask); StoreU(rawB, d, raw + 0xB * N); const VU16 raw7 = ShiftRight<6>(packed3); // upper bits already zero StoreU(raw7, d, raw + 7 * N); const VU16 rawF = ShiftRight<6>(packed7); // upper bits already zero StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<6> template <> struct Pack16<7> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); const VU16 packed7 = Or(ShiftLeft<7>(rawF), raw7); // Seven vectors, two 7-bit raw each; packed7 (14 bits) is spread over the // two remainder bits at the top of each vector. const VU16 packed0 = Xor3(ShiftLeft<14>(packed7), ShiftLeft<7>(raw8), raw0); VU16 packed1 = Or(ShiftLeft<7>(raw9), raw1); VU16 packed2 = Or(ShiftLeft<7>(rawA), raw2); VU16 packed3 = Or(ShiftLeft<7>(rawB), raw3); VU16 packed4 = Or(ShiftLeft<7>(rawC), raw4); VU16 packed5 = Or(ShiftLeft<7>(rawD), raw5); VU16 packed6 = Or(ShiftLeft<7>(rawE), raw6); const VU16 hi2 = Set(d, 0xC000u); packed1 = OrAnd(packed1, ShiftLeft<12>(packed7), hi2); packed2 = OrAnd(packed2, ShiftLeft<10>(packed7), hi2); packed3 = OrAnd(packed3, ShiftLeft<8>(packed7), hi2); packed4 = OrAnd(packed4, ShiftLeft<6>(packed7), hi2); packed5 = OrAnd(packed5, ShiftLeft<4>(packed7), hi2); packed6 = OrAnd(packed6, ShiftLeft<2>(packed7), hi2); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); StoreU(packed2, d, packed_out + 2 * N); StoreU(packed3, d, packed_out + 3 * N); StoreU(packed4, d, packed_out + 4 * N); StoreU(packed5, d, packed_out + 5 * N); StoreU(packed6, d, packed_out + 6 * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 packed0 = BitCast(d, LoadU(d, packed_in + 0 * N)); const VU16 packed1 = BitCast(d, LoadU(d, packed_in + 1 * N)); const VU16 packed2 = BitCast(d, LoadU(d, packed_in + 2 * N)); const VU16 packed3 = BitCast(d, LoadU(d, packed_in + 3 * N)); const VU16 packed4 = BitCast(d, LoadU(d, packed_in + 4 * N)); const VU16 packed5 = BitCast(d, LoadU(d, packed_in + 5 * N)); const VU16 packed6 = BitCast(d, LoadU(d, packed_in + 6 * N)); const VU16 mask = Set(d, 0x7Fu); // Lowest 7 bits const VU16 raw0 = And(packed0, mask); StoreU(raw0, d, raw + 0 * N); const VU16 raw1 = And(packed1, mask); StoreU(raw1, d, raw + 1 * N); const VU16 raw2 = And(packed2, mask); StoreU(raw2, d, raw + 2 * N); const VU16 raw3 = And(packed3, mask); StoreU(raw3, d, raw + 3 * N); const VU16 raw4 = And(packed4, mask); StoreU(raw4, d, raw + 4 * N); const VU16 raw5 = And(packed5, mask); StoreU(raw5, d, raw + 5 * N); const VU16 raw6 = And(packed6, mask); StoreU(raw6, d, raw + 6 * N); const VU16 raw8 = And(ShiftRight<7>(packed0), mask); StoreU(raw8, d, raw + 8 * N); const VU16 raw9 = And(ShiftRight<7>(packed1), mask); StoreU(raw9, d, raw + 9 * N); const VU16 rawA = And(ShiftRight<7>(packed2), mask); StoreU(rawA, d, raw + 0xA * N); const VU16 rawB = And(ShiftRight<7>(packed3), mask); StoreU(rawB, d, raw + 0xB * N); const VU16 rawC = And(ShiftRight<7>(packed4), mask); StoreU(rawC, d, raw + 0xC * N); const VU16 rawD = And(ShiftRight<7>(packed5), mask); StoreU(rawD, d, raw + 0xD * N); const VU16 rawE = And(ShiftRight<7>(packed6), mask); StoreU(rawE, d, raw + 0xE * N); // packed7 is the concatenation of the two upper bits in packed0..6. const VU16 down0 = ShiftRight<14>(packed0); const VU16 hi2 = Set(d, 0xC000u); const VU16 p0 = Xor3(ShiftRight<12>(And(packed1, hi2)), ShiftRight<10>(And(packed2, hi2)), down0); const VU16 p1 = Xor3(ShiftRight<8>(And(packed3, hi2)), // ShiftRight<6>(And(packed4, hi2)), ShiftRight<4>(And(packed5, hi2))); const VU16 packed7 = Xor3(ShiftRight<2>(And(packed6, hi2)), p1, p0); const VU16 raw7 = And(packed7, mask); StoreU(raw7, d, raw + 7 * N); const VU16 rawF = ShiftRight<7>(packed7); // upper bits already zero StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<7> template <> struct Pack16<8> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); // This is equivalent to ConcatEven with 8-bit lanes, but much more // efficient on RVV and slightly less efficient on SVE2. const VU16 packed0 = Or(ShiftLeft<8>(raw2), raw0); const VU16 packed1 = Or(ShiftLeft<8>(raw3), raw1); const VU16 packed2 = Or(ShiftLeft<8>(raw6), raw4); const VU16 packed3 = Or(ShiftLeft<8>(raw7), raw5); const VU16 packed4 = Or(ShiftLeft<8>(rawA), raw8); const VU16 packed5 = Or(ShiftLeft<8>(rawB), raw9); const VU16 packed6 = Or(ShiftLeft<8>(rawE), rawC); const VU16 packed7 = Or(ShiftLeft<8>(rawF), rawD); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); StoreU(packed2, d, packed_out + 2 * N); StoreU(packed3, d, packed_out + 3 * N); StoreU(packed4, d, packed_out + 4 * N); StoreU(packed5, d, packed_out + 5 * N); StoreU(packed6, d, packed_out + 6 * N); StoreU(packed7, d, packed_out + 7 * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 packed0 = BitCast(d, LoadU(d, packed_in + 0 * N)); const VU16 packed1 = BitCast(d, LoadU(d, packed_in + 1 * N)); const VU16 packed2 = BitCast(d, LoadU(d, packed_in + 2 * N)); const VU16 packed3 = BitCast(d, LoadU(d, packed_in + 3 * N)); const VU16 packed4 = BitCast(d, LoadU(d, packed_in + 4 * N)); const VU16 packed5 = BitCast(d, LoadU(d, packed_in + 5 * N)); const VU16 packed6 = BitCast(d, LoadU(d, packed_in + 6 * N)); const VU16 packed7 = BitCast(d, LoadU(d, packed_in + 7 * N)); const VU16 mask = Set(d, 0xFFu); // Lowest 8 bits const VU16 raw0 = And(packed0, mask); StoreU(raw0, d, raw + 0 * N); const VU16 raw1 = And(packed1, mask); StoreU(raw1, d, raw + 1 * N); const VU16 raw2 = ShiftRight<8>(packed0); // upper bits already zero StoreU(raw2, d, raw + 2 * N); const VU16 raw3 = ShiftRight<8>(packed1); // upper bits already zero StoreU(raw3, d, raw + 3 * N); const VU16 raw4 = And(packed2, mask); StoreU(raw4, d, raw + 4 * N); const VU16 raw5 = And(packed3, mask); StoreU(raw5, d, raw + 5 * N); const VU16 raw6 = ShiftRight<8>(packed2); // upper bits already zero StoreU(raw6, d, raw + 6 * N); const VU16 raw7 = ShiftRight<8>(packed3); // upper bits already zero StoreU(raw7, d, raw + 7 * N); const VU16 raw8 = And(packed4, mask); StoreU(raw8, d, raw + 8 * N); const VU16 raw9 = And(packed5, mask); StoreU(raw9, d, raw + 9 * N); const VU16 rawA = ShiftRight<8>(packed4); // upper bits already zero StoreU(rawA, d, raw + 0xA * N); const VU16 rawB = ShiftRight<8>(packed5); // upper bits already zero StoreU(rawB, d, raw + 0xB * N); const VU16 rawC = And(packed6, mask); StoreU(rawC, d, raw + 0xC * N); const VU16 rawD = And(packed7, mask); StoreU(rawD, d, raw + 0xD * N); const VU16 rawE = ShiftRight<8>(packed6); // upper bits already zero StoreU(rawE, d, raw + 0xE * N); const VU16 rawF = ShiftRight<8>(packed7); // upper bits already zero StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<8> template <> struct Pack16<9> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); // 8 vectors, each with 9+7 bits; top 2 bits are concatenated into packed8. const VU16 packed0 = Or(ShiftLeft<9>(raw8), raw0); const VU16 packed1 = Or(ShiftLeft<9>(raw9), raw1); const VU16 packed2 = Or(ShiftLeft<9>(rawA), raw2); const VU16 packed3 = Or(ShiftLeft<9>(rawB), raw3); const VU16 packed4 = Or(ShiftLeft<9>(rawC), raw4); const VU16 packed5 = Or(ShiftLeft<9>(rawD), raw5); const VU16 packed6 = Or(ShiftLeft<9>(rawE), raw6); const VU16 packed7 = Or(ShiftLeft<9>(rawF), raw7); // We could shift down, OR and shift up, but two shifts are typically more // expensive than AND, shift into position, and OR (which can be further // reduced via Xor3). const VU16 mid2 = Set(d, 0x180u); // top 2 in lower 9 const VU16 part8 = ShiftRight<7>(And(raw8, mid2)); const VU16 part9 = ShiftRight<5>(And(raw9, mid2)); const VU16 partA = ShiftRight<3>(And(rawA, mid2)); const VU16 partB = ShiftRight<1>(And(rawB, mid2)); const VU16 partC = ShiftLeft<1>(And(rawC, mid2)); const VU16 partD = ShiftLeft<3>(And(rawD, mid2)); const VU16 partE = ShiftLeft<5>(And(rawE, mid2)); const VU16 partF = ShiftLeft<7>(And(rawF, mid2)); const VU16 packed8 = Xor3(Xor3(part8, part9, partA), Xor3(partB, partC, partD), Or(partE, partF)); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); StoreU(packed2, d, packed_out + 2 * N); StoreU(packed3, d, packed_out + 3 * N); StoreU(packed4, d, packed_out + 4 * N); StoreU(packed5, d, packed_out + 5 * N); StoreU(packed6, d, packed_out + 6 * N); StoreU(packed7, d, packed_out + 7 * N); StoreU(packed8, d, packed_out + 8 * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 packed0 = BitCast(d, LoadU(d, packed_in + 0 * N)); const VU16 packed1 = BitCast(d, LoadU(d, packed_in + 1 * N)); const VU16 packed2 = BitCast(d, LoadU(d, packed_in + 2 * N)); const VU16 packed3 = BitCast(d, LoadU(d, packed_in + 3 * N)); const VU16 packed4 = BitCast(d, LoadU(d, packed_in + 4 * N)); const VU16 packed5 = BitCast(d, LoadU(d, packed_in + 5 * N)); const VU16 packed6 = BitCast(d, LoadU(d, packed_in + 6 * N)); const VU16 packed7 = BitCast(d, LoadU(d, packed_in + 7 * N)); const VU16 packed8 = BitCast(d, LoadU(d, packed_in + 8 * N)); const VU16 mask = Set(d, 0x1FFu); // Lowest 9 bits const VU16 raw0 = And(packed0, mask); StoreU(raw0, d, raw + 0 * N); const VU16 raw1 = And(packed1, mask); StoreU(raw1, d, raw + 1 * N); const VU16 raw2 = And(packed2, mask); StoreU(raw2, d, raw + 2 * N); const VU16 raw3 = And(packed3, mask); StoreU(raw3, d, raw + 3 * N); const VU16 raw4 = And(packed4, mask); StoreU(raw4, d, raw + 4 * N); const VU16 raw5 = And(packed5, mask); StoreU(raw5, d, raw + 5 * N); const VU16 raw6 = And(packed6, mask); StoreU(raw6, d, raw + 6 * N); const VU16 raw7 = And(packed7, mask); StoreU(raw7, d, raw + 7 * N); const VU16 mid2 = Set(d, 0x180u); // top 2 in lower 9 const VU16 raw8 = OrAnd(ShiftRight<9>(packed0), ShiftLeft<7>(packed8), mid2); const VU16 raw9 = OrAnd(ShiftRight<9>(packed1), ShiftLeft<5>(packed8), mid2); const VU16 rawA = OrAnd(ShiftRight<9>(packed2), ShiftLeft<3>(packed8), mid2); const VU16 rawB = OrAnd(ShiftRight<9>(packed3), ShiftLeft<1>(packed8), mid2); const VU16 rawC = OrAnd(ShiftRight<9>(packed4), ShiftRight<1>(packed8), mid2); const VU16 rawD = OrAnd(ShiftRight<9>(packed5), ShiftRight<3>(packed8), mid2); const VU16 rawE = OrAnd(ShiftRight<9>(packed6), ShiftRight<5>(packed8), mid2); const VU16 rawF = OrAnd(ShiftRight<9>(packed7), ShiftRight<7>(packed8), mid2); StoreU(raw8, d, raw + 8 * N); StoreU(raw9, d, raw + 9 * N); StoreU(rawA, d, raw + 0xA * N); StoreU(rawB, d, raw + 0xB * N); StoreU(rawC, d, raw + 0xC * N); StoreU(rawD, d, raw + 0xD * N); StoreU(rawE, d, raw + 0xE * N); StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<9> template <> struct Pack16<10> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); // 8 vectors, each with 10+6 bits; top 4 bits are concatenated into // packed8 and packed9. const VU16 packed0 = Or(ShiftLeft<10>(raw8), raw0); const VU16 packed1 = Or(ShiftLeft<10>(raw9), raw1); const VU16 packed2 = Or(ShiftLeft<10>(rawA), raw2); const VU16 packed3 = Or(ShiftLeft<10>(rawB), raw3); const VU16 packed4 = Or(ShiftLeft<10>(rawC), raw4); const VU16 packed5 = Or(ShiftLeft<10>(rawD), raw5); const VU16 packed6 = Or(ShiftLeft<10>(rawE), raw6); const VU16 packed7 = Or(ShiftLeft<10>(rawF), raw7); // We could shift down, OR and shift up, but two shifts are typically more // expensive than AND, shift into position, and OR (which can be further // reduced via Xor3). const VU16 mid4 = Set(d, 0x3C0u); // top 4 in lower 10 const VU16 part8 = ShiftRight<6>(And(raw8, mid4)); const VU16 part9 = ShiftRight<2>(And(raw9, mid4)); const VU16 partA = ShiftLeft<2>(And(rawA, mid4)); const VU16 partB = ShiftLeft<6>(And(rawB, mid4)); const VU16 partC = ShiftRight<6>(And(rawC, mid4)); const VU16 partD = ShiftRight<2>(And(rawD, mid4)); const VU16 partE = ShiftLeft<2>(And(rawE, mid4)); const VU16 partF = ShiftLeft<6>(And(rawF, mid4)); const VU16 packed8 = Or(Xor3(part8, part9, partA), partB); const VU16 packed9 = Or(Xor3(partC, partD, partE), partF); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); StoreU(packed2, d, packed_out + 2 * N); StoreU(packed3, d, packed_out + 3 * N); StoreU(packed4, d, packed_out + 4 * N); StoreU(packed5, d, packed_out + 5 * N); StoreU(packed6, d, packed_out + 6 * N); StoreU(packed7, d, packed_out + 7 * N); StoreU(packed8, d, packed_out + 8 * N); StoreU(packed9, d, packed_out + 9 * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 packed0 = BitCast(d, LoadU(d, packed_in + 0 * N)); const VU16 packed1 = BitCast(d, LoadU(d, packed_in + 1 * N)); const VU16 packed2 = BitCast(d, LoadU(d, packed_in + 2 * N)); const VU16 packed3 = BitCast(d, LoadU(d, packed_in + 3 * N)); const VU16 packed4 = BitCast(d, LoadU(d, packed_in + 4 * N)); const VU16 packed5 = BitCast(d, LoadU(d, packed_in + 5 * N)); const VU16 packed6 = BitCast(d, LoadU(d, packed_in + 6 * N)); const VU16 packed7 = BitCast(d, LoadU(d, packed_in + 7 * N)); const VU16 packed8 = BitCast(d, LoadU(d, packed_in + 8 * N)); const VU16 packed9 = BitCast(d, LoadU(d, packed_in + 9 * N)); const VU16 mask = Set(d, 0x3FFu); // Lowest 10 bits const VU16 raw0 = And(packed0, mask); StoreU(raw0, d, raw + 0 * N); const VU16 raw1 = And(packed1, mask); StoreU(raw1, d, raw + 1 * N); const VU16 raw2 = And(packed2, mask); StoreU(raw2, d, raw + 2 * N); const VU16 raw3 = And(packed3, mask); StoreU(raw3, d, raw + 3 * N); const VU16 raw4 = And(packed4, mask); StoreU(raw4, d, raw + 4 * N); const VU16 raw5 = And(packed5, mask); StoreU(raw5, d, raw + 5 * N); const VU16 raw6 = And(packed6, mask); StoreU(raw6, d, raw + 6 * N); const VU16 raw7 = And(packed7, mask); StoreU(raw7, d, raw + 7 * N); const VU16 mid4 = Set(d, 0x3C0u); // top 4 in lower 10 const VU16 raw8 = OrAnd(ShiftRight<10>(packed0), ShiftLeft<6>(packed8), mid4); const VU16 raw9 = OrAnd(ShiftRight<10>(packed1), ShiftLeft<2>(packed8), mid4); const VU16 rawA = OrAnd(ShiftRight<10>(packed2), ShiftRight<2>(packed8), mid4); const VU16 rawB = OrAnd(ShiftRight<10>(packed3), ShiftRight<6>(packed8), mid4); const VU16 rawC = OrAnd(ShiftRight<10>(packed4), ShiftLeft<6>(packed9), mid4); const VU16 rawD = OrAnd(ShiftRight<10>(packed5), ShiftLeft<2>(packed9), mid4); const VU16 rawE = OrAnd(ShiftRight<10>(packed6), ShiftRight<2>(packed9), mid4); const VU16 rawF = OrAnd(ShiftRight<10>(packed7), ShiftRight<6>(packed9), mid4); StoreU(raw8, d, raw + 8 * N); StoreU(raw9, d, raw + 9 * N); StoreU(rawA, d, raw + 0xA * N); StoreU(rawB, d, raw + 0xB * N); StoreU(rawC, d, raw + 0xC * N); StoreU(rawD, d, raw + 0xD * N); StoreU(rawE, d, raw + 0xE * N); StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<10> template <> struct Pack16<11> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); // It is not obvious what the optimal partitioning looks like. To reduce the // number of constants, we want to minimize the number of distinct bit // lengths. 11+5 also requires 6-bit remnants with 4-bit leftovers. // 8+3 seems better: it is easier to scatter 3 bits into the MSBs. const VU16 lo8 = Set(d, 0xFFu); // Lower 8 bits of all raw const VU16 packed0 = OrAnd(ShiftLeft<8>(raw1), raw0, lo8); const VU16 packed1 = OrAnd(ShiftLeft<8>(raw3), raw2, lo8); const VU16 packed2 = OrAnd(ShiftLeft<8>(raw5), raw4, lo8); const VU16 packed3 = OrAnd(ShiftLeft<8>(raw7), raw6, lo8); const VU16 packed4 = OrAnd(ShiftLeft<8>(raw9), raw8, lo8); const VU16 packed5 = OrAnd(ShiftLeft<8>(rawB), rawA, lo8); const VU16 packed6 = OrAnd(ShiftLeft<8>(rawD), rawC, lo8); const VU16 packed7 = OrAnd(ShiftLeft<8>(rawF), rawE, lo8); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); StoreU(packed2, d, packed_out + 2 * N); StoreU(packed3, d, packed_out + 3 * N); StoreU(packed4, d, packed_out + 4 * N); StoreU(packed5, d, packed_out + 5 * N); StoreU(packed6, d, packed_out + 6 * N); StoreU(packed7, d, packed_out + 7 * N); // Three vectors, five 3bit remnants each, plus one 3bit in their MSB. const VU16 top0 = ShiftRight<8>(raw0); const VU16 top1 = ShiftRight<8>(raw1); const VU16 top2 = ShiftRight<8>(raw2); // Insert top raw bits into 3-bit groups within packed8..A. Moving the // mask along avoids masking each of raw0..E and enables OrAnd. VU16 next = Set(d, 0x38u); // 0x7 << 3 VU16 packed8 = OrAnd(top0, ShiftRight<5>(raw3), next); VU16 packed9 = OrAnd(top1, ShiftRight<5>(raw4), next); VU16 packedA = OrAnd(top2, ShiftRight<5>(raw5), next); next = ShiftLeft<3>(next); packed8 = OrAnd(packed8, ShiftRight<2>(raw6), next); packed9 = OrAnd(packed9, ShiftRight<2>(raw7), next); packedA = OrAnd(packedA, ShiftRight<2>(raw8), next); next = ShiftLeft<3>(next); packed8 = OrAnd(packed8, Add(raw9, raw9), next); packed9 = OrAnd(packed9, Add(rawA, rawA), next); packedA = OrAnd(packedA, Add(rawB, rawB), next); next = ShiftLeft<3>(next); packed8 = OrAnd(packed8, ShiftLeft<4>(rawC), next); packed9 = OrAnd(packed9, ShiftLeft<4>(rawD), next); packedA = OrAnd(packedA, ShiftLeft<4>(rawE), next); // Scatter upper 3 bits of rawF into the upper bits. next = ShiftLeft<3>(next); // = 0x8000u packed8 = OrAnd(packed8, ShiftLeft<7>(rawF), next); packed9 = OrAnd(packed9, ShiftLeft<6>(rawF), next); packedA = OrAnd(packedA, ShiftLeft<5>(rawF), next); StoreU(packed8, d, packed_out + 8 * N); StoreU(packed9, d, packed_out + 9 * N); StoreU(packedA, d, packed_out + 0xA * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 packed0 = BitCast(d, LoadU(d, packed_in + 0 * N)); const VU16 packed1 = BitCast(d, LoadU(d, packed_in + 1 * N)); const VU16 packed2 = BitCast(d, LoadU(d, packed_in + 2 * N)); const VU16 packed3 = BitCast(d, LoadU(d, packed_in + 3 * N)); const VU16 packed4 = BitCast(d, LoadU(d, packed_in + 4 * N)); const VU16 packed5 = BitCast(d, LoadU(d, packed_in + 5 * N)); const VU16 packed6 = BitCast(d, LoadU(d, packed_in + 6 * N)); const VU16 packed7 = BitCast(d, LoadU(d, packed_in + 7 * N)); const VU16 packed8 = BitCast(d, LoadU(d, packed_in + 8 * N)); const VU16 packed9 = BitCast(d, LoadU(d, packed_in + 9 * N)); const VU16 packedA = BitCast(d, LoadU(d, packed_in + 0xA * N)); const VU16 mask = Set(d, 0xFFu); // Lowest 8 bits const VU16 down0 = And(packed0, mask); const VU16 down1 = ShiftRight<8>(packed0); const VU16 down2 = And(packed1, mask); const VU16 down3 = ShiftRight<8>(packed1); const VU16 down4 = And(packed2, mask); const VU16 down5 = ShiftRight<8>(packed2); const VU16 down6 = And(packed3, mask); const VU16 down7 = ShiftRight<8>(packed3); const VU16 down8 = And(packed4, mask); const VU16 down9 = ShiftRight<8>(packed4); const VU16 downA = And(packed5, mask); const VU16 downB = ShiftRight<8>(packed5); const VU16 downC = And(packed6, mask); const VU16 downD = ShiftRight<8>(packed6); const VU16 downE = And(packed7, mask); const VU16 downF = ShiftRight<8>(packed7); // Three bits from packed8..A, eight bits from down0..F. const VU16 hi3 = Set(d, 0x700u); const VU16 raw0 = OrAnd(down0, ShiftLeft<8>(packed8), hi3); const VU16 raw1 = OrAnd(down1, ShiftLeft<8>(packed9), hi3); const VU16 raw2 = OrAnd(down2, ShiftLeft<8>(packedA), hi3); const VU16 raw3 = OrAnd(down3, ShiftLeft<5>(packed8), hi3); const VU16 raw4 = OrAnd(down4, ShiftLeft<5>(packed9), hi3); const VU16 raw5 = OrAnd(down5, ShiftLeft<5>(packedA), hi3); const VU16 raw6 = OrAnd(down6, ShiftLeft<2>(packed8), hi3); const VU16 raw7 = OrAnd(down7, ShiftLeft<2>(packed9), hi3); const VU16 raw8 = OrAnd(down8, ShiftLeft<2>(packedA), hi3); const VU16 raw9 = OrAnd(down9, ShiftRight<1>(packed8), hi3); const VU16 rawA = OrAnd(downA, ShiftRight<1>(packed9), hi3); const VU16 rawB = OrAnd(downB, ShiftRight<1>(packedA), hi3); const VU16 rawC = OrAnd(downC, ShiftRight<4>(packed8), hi3); const VU16 rawD = OrAnd(downD, ShiftRight<4>(packed9), hi3); const VU16 rawE = OrAnd(downE, ShiftRight<4>(packedA), hi3); // Shift MSB into the top 3-of-11 and mask. const VU16 rawF = Or(downF, Xor3(And(ShiftRight<7>(packed8), hi3), And(ShiftRight<6>(packed9), hi3), And(ShiftRight<5>(packedA), hi3))); StoreU(raw0, d, raw + 0 * N); StoreU(raw1, d, raw + 1 * N); StoreU(raw2, d, raw + 2 * N); StoreU(raw3, d, raw + 3 * N); StoreU(raw4, d, raw + 4 * N); StoreU(raw5, d, raw + 5 * N); StoreU(raw6, d, raw + 6 * N); StoreU(raw7, d, raw + 7 * N); StoreU(raw8, d, raw + 8 * N); StoreU(raw9, d, raw + 9 * N); StoreU(rawA, d, raw + 0xA * N); StoreU(rawB, d, raw + 0xB * N); StoreU(rawC, d, raw + 0xC * N); StoreU(rawD, d, raw + 0xD * N); StoreU(rawE, d, raw + 0xE * N); StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<11> template <> struct Pack16<12> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); // 8 vectors, each with 12+4 bits; top 8 bits are concatenated into // packed8 to packedB. const VU16 packed0 = Or(ShiftLeft<12>(raw8), raw0); const VU16 packed1 = Or(ShiftLeft<12>(raw9), raw1); const VU16 packed2 = Or(ShiftLeft<12>(rawA), raw2); const VU16 packed3 = Or(ShiftLeft<12>(rawB), raw3); const VU16 packed4 = Or(ShiftLeft<12>(rawC), raw4); const VU16 packed5 = Or(ShiftLeft<12>(rawD), raw5); const VU16 packed6 = Or(ShiftLeft<12>(rawE), raw6); const VU16 packed7 = Or(ShiftLeft<12>(rawF), raw7); // Masking after shifting left enables OrAnd. const VU16 hi8 = Set(d, 0xFF00u); const VU16 packed8 = OrAnd(ShiftRight<4>(raw8), ShiftLeft<4>(raw9), hi8); const VU16 packed9 = OrAnd(ShiftRight<4>(rawA), ShiftLeft<4>(rawB), hi8); const VU16 packedA = OrAnd(ShiftRight<4>(rawC), ShiftLeft<4>(rawD), hi8); const VU16 packedB = OrAnd(ShiftRight<4>(rawE), ShiftLeft<4>(rawF), hi8); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); StoreU(packed2, d, packed_out + 2 * N); StoreU(packed3, d, packed_out + 3 * N); StoreU(packed4, d, packed_out + 4 * N); StoreU(packed5, d, packed_out + 5 * N); StoreU(packed6, d, packed_out + 6 * N); StoreU(packed7, d, packed_out + 7 * N); StoreU(packed8, d, packed_out + 8 * N); StoreU(packed9, d, packed_out + 9 * N); StoreU(packedA, d, packed_out + 0xA * N); StoreU(packedB, d, packed_out + 0xB * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 packed0 = BitCast(d, LoadU(d, packed_in + 0 * N)); const VU16 packed1 = BitCast(d, LoadU(d, packed_in + 1 * N)); const VU16 packed2 = BitCast(d, LoadU(d, packed_in + 2 * N)); const VU16 packed3 = BitCast(d, LoadU(d, packed_in + 3 * N)); const VU16 packed4 = BitCast(d, LoadU(d, packed_in + 4 * N)); const VU16 packed5 = BitCast(d, LoadU(d, packed_in + 5 * N)); const VU16 packed6 = BitCast(d, LoadU(d, packed_in + 6 * N)); const VU16 packed7 = BitCast(d, LoadU(d, packed_in + 7 * N)); const VU16 packed8 = BitCast(d, LoadU(d, packed_in + 8 * N)); const VU16 packed9 = BitCast(d, LoadU(d, packed_in + 9 * N)); const VU16 packedA = BitCast(d, LoadU(d, packed_in + 0xA * N)); const VU16 packedB = BitCast(d, LoadU(d, packed_in + 0xB * N)); const VU16 mask = Set(d, 0xFFFu); // Lowest 12 bits const VU16 raw0 = And(packed0, mask); StoreU(raw0, d, raw + 0 * N); const VU16 raw1 = And(packed1, mask); StoreU(raw1, d, raw + 1 * N); const VU16 raw2 = And(packed2, mask); StoreU(raw2, d, raw + 2 * N); const VU16 raw3 = And(packed3, mask); StoreU(raw3, d, raw + 3 * N); const VU16 raw4 = And(packed4, mask); StoreU(raw4, d, raw + 4 * N); const VU16 raw5 = And(packed5, mask); StoreU(raw5, d, raw + 5 * N); const VU16 raw6 = And(packed6, mask); StoreU(raw6, d, raw + 6 * N); const VU16 raw7 = And(packed7, mask); StoreU(raw7, d, raw + 7 * N); const VU16 mid8 = Set(d, 0xFF0u); // upper 8 in lower 12 const VU16 raw8 = OrAnd(ShiftRight<12>(packed0), ShiftLeft<4>(packed8), mid8); const VU16 raw9 = OrAnd(ShiftRight<12>(packed1), ShiftRight<4>(packed8), mid8); const VU16 rawA = OrAnd(ShiftRight<12>(packed2), ShiftLeft<4>(packed9), mid8); const VU16 rawB = OrAnd(ShiftRight<12>(packed3), ShiftRight<4>(packed9), mid8); const VU16 rawC = OrAnd(ShiftRight<12>(packed4), ShiftLeft<4>(packedA), mid8); const VU16 rawD = OrAnd(ShiftRight<12>(packed5), ShiftRight<4>(packedA), mid8); const VU16 rawE = OrAnd(ShiftRight<12>(packed6), ShiftLeft<4>(packedB), mid8); const VU16 rawF = OrAnd(ShiftRight<12>(packed7), ShiftRight<4>(packedB), mid8); StoreU(raw8, d, raw + 8 * N); StoreU(raw9, d, raw + 9 * N); StoreU(rawA, d, raw + 0xA * N); StoreU(rawB, d, raw + 0xB * N); StoreU(rawC, d, raw + 0xC * N); StoreU(rawD, d, raw + 0xD * N); StoreU(rawE, d, raw + 0xE * N); StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<12> template <> struct Pack16<13> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); // As with 11 bits, it is not obvious what the optimal partitioning looks // like. We similarly go with an 8+5 split. const VU16 lo8 = Set(d, 0xFFu); // Lower 8 bits of all raw const VU16 packed0 = OrAnd(ShiftLeft<8>(raw1), raw0, lo8); const VU16 packed1 = OrAnd(ShiftLeft<8>(raw3), raw2, lo8); const VU16 packed2 = OrAnd(ShiftLeft<8>(raw5), raw4, lo8); const VU16 packed3 = OrAnd(ShiftLeft<8>(raw7), raw6, lo8); const VU16 packed4 = OrAnd(ShiftLeft<8>(raw9), raw8, lo8); const VU16 packed5 = OrAnd(ShiftLeft<8>(rawB), rawA, lo8); const VU16 packed6 = OrAnd(ShiftLeft<8>(rawD), rawC, lo8); const VU16 packed7 = OrAnd(ShiftLeft<8>(rawF), rawE, lo8); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); StoreU(packed2, d, packed_out + 2 * N); StoreU(packed3, d, packed_out + 3 * N); StoreU(packed4, d, packed_out + 4 * N); StoreU(packed5, d, packed_out + 5 * N); StoreU(packed6, d, packed_out + 6 * N); StoreU(packed7, d, packed_out + 7 * N); // Five vectors, three 5bit remnants each, plus one 5bit in their MSB. const VU16 top0 = ShiftRight<8>(raw0); const VU16 top1 = ShiftRight<8>(raw1); const VU16 top2 = ShiftRight<8>(raw2); const VU16 top3 = ShiftRight<8>(raw3); const VU16 top4 = ShiftRight<8>(raw4); // Insert top raw bits into 5-bit groups within packed8..C. Moving the // mask along avoids masking each of raw0..E and enables OrAnd. VU16 next = Set(d, 0x3E0u); // 0x1F << 5 VU16 packed8 = OrAnd(top0, ShiftRight<3>(raw5), next); VU16 packed9 = OrAnd(top1, ShiftRight<3>(raw6), next); VU16 packedA = OrAnd(top2, ShiftRight<3>(raw7), next); VU16 packedB = OrAnd(top3, ShiftRight<3>(raw8), next); VU16 packedC = OrAnd(top4, ShiftRight<3>(raw9), next); next = ShiftLeft<5>(next); packed8 = OrAnd(packed8, ShiftLeft<2>(rawA), next); packed9 = OrAnd(packed9, ShiftLeft<2>(rawB), next); packedA = OrAnd(packedA, ShiftLeft<2>(rawC), next); packedB = OrAnd(packedB, ShiftLeft<2>(rawD), next); packedC = OrAnd(packedC, ShiftLeft<2>(rawE), next); // Scatter upper 5 bits of rawF into the upper bits. next = ShiftLeft<3>(next); // = 0x8000u packed8 = OrAnd(packed8, ShiftLeft<7>(rawF), next); packed9 = OrAnd(packed9, ShiftLeft<6>(rawF), next); packedA = OrAnd(packedA, ShiftLeft<5>(rawF), next); packedB = OrAnd(packedB, ShiftLeft<4>(rawF), next); packedC = OrAnd(packedC, ShiftLeft<3>(rawF), next); StoreU(packed8, d, packed_out + 8 * N); StoreU(packed9, d, packed_out + 9 * N); StoreU(packedA, d, packed_out + 0xA * N); StoreU(packedB, d, packed_out + 0xB * N); StoreU(packedC, d, packed_out + 0xC * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 packed0 = BitCast(d, LoadU(d, packed_in + 0 * N)); const VU16 packed1 = BitCast(d, LoadU(d, packed_in + 1 * N)); const VU16 packed2 = BitCast(d, LoadU(d, packed_in + 2 * N)); const VU16 packed3 = BitCast(d, LoadU(d, packed_in + 3 * N)); const VU16 packed4 = BitCast(d, LoadU(d, packed_in + 4 * N)); const VU16 packed5 = BitCast(d, LoadU(d, packed_in + 5 * N)); const VU16 packed6 = BitCast(d, LoadU(d, packed_in + 6 * N)); const VU16 packed7 = BitCast(d, LoadU(d, packed_in + 7 * N)); const VU16 packed8 = BitCast(d, LoadU(d, packed_in + 8 * N)); const VU16 packed9 = BitCast(d, LoadU(d, packed_in + 9 * N)); const VU16 packedA = BitCast(d, LoadU(d, packed_in + 0xA * N)); const VU16 packedB = BitCast(d, LoadU(d, packed_in + 0xB * N)); const VU16 packedC = BitCast(d, LoadU(d, packed_in + 0xC * N)); const VU16 mask = Set(d, 0xFFu); // Lowest 8 bits const VU16 down0 = And(packed0, mask); const VU16 down1 = ShiftRight<8>(packed0); const VU16 down2 = And(packed1, mask); const VU16 down3 = ShiftRight<8>(packed1); const VU16 down4 = And(packed2, mask); const VU16 down5 = ShiftRight<8>(packed2); const VU16 down6 = And(packed3, mask); const VU16 down7 = ShiftRight<8>(packed3); const VU16 down8 = And(packed4, mask); const VU16 down9 = ShiftRight<8>(packed4); const VU16 downA = And(packed5, mask); const VU16 downB = ShiftRight<8>(packed5); const VU16 downC = And(packed6, mask); const VU16 downD = ShiftRight<8>(packed6); const VU16 downE = And(packed7, mask); const VU16 downF = ShiftRight<8>(packed7); // Upper five bits from packed8..C, eight bits from down0..F. const VU16 hi5 = Set(d, 0x1F00u); const VU16 raw0 = OrAnd(down0, ShiftLeft<8>(packed8), hi5); const VU16 raw1 = OrAnd(down1, ShiftLeft<8>(packed9), hi5); const VU16 raw2 = OrAnd(down2, ShiftLeft<8>(packedA), hi5); const VU16 raw3 = OrAnd(down3, ShiftLeft<8>(packedB), hi5); const VU16 raw4 = OrAnd(down4, ShiftLeft<8>(packedC), hi5); const VU16 raw5 = OrAnd(down5, ShiftLeft<3>(packed8), hi5); const VU16 raw6 = OrAnd(down6, ShiftLeft<3>(packed9), hi5); const VU16 raw7 = OrAnd(down7, ShiftLeft<3>(packedA), hi5); const VU16 raw8 = OrAnd(down8, ShiftLeft<3>(packed9), hi5); const VU16 raw9 = OrAnd(down9, ShiftLeft<3>(packedA), hi5); const VU16 rawA = OrAnd(downA, ShiftRight<2>(packed8), hi5); const VU16 rawB = OrAnd(downB, ShiftRight<2>(packed9), hi5); const VU16 rawC = OrAnd(downC, ShiftRight<2>(packedA), hi5); const VU16 rawD = OrAnd(downD, ShiftRight<2>(packed9), hi5); const VU16 rawE = OrAnd(downE, ShiftRight<2>(packedA), hi5); // Shift MSB into the top 5-of-11 and mask. const VU16 p0 = Xor3(And(ShiftRight<7>(packed8), hi5), // And(ShiftRight<6>(packed9), hi5), And(ShiftRight<5>(packedA), hi5)); const VU16 p1 = Xor3(And(ShiftRight<4>(packedB), hi5), And(ShiftRight<3>(packedC), hi5), downF); const VU16 rawF = Or(p0, p1); StoreU(raw0, d, raw + 0 * N); StoreU(raw1, d, raw + 1 * N); StoreU(raw2, d, raw + 2 * N); StoreU(raw3, d, raw + 3 * N); StoreU(raw4, d, raw + 4 * N); StoreU(raw5, d, raw + 5 * N); StoreU(raw6, d, raw + 6 * N); StoreU(raw7, d, raw + 7 * N); StoreU(raw8, d, raw + 8 * N); StoreU(raw9, d, raw + 9 * N); StoreU(rawA, d, raw + 0xA * N); StoreU(rawB, d, raw + 0xB * N); StoreU(rawC, d, raw + 0xC * N); StoreU(rawD, d, raw + 0xD * N); StoreU(rawE, d, raw + 0xE * N); StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<13> template <> struct Pack16<14> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); // 14 vectors, each with 14+2 bits; two raw vectors are scattered // across the upper 2 bits. const VU16 hi2 = Set(d, 0xC000u); const VU16 packed0 = Or(raw0, ShiftLeft<14>(rawE)); const VU16 packed1 = OrAnd(raw1, ShiftLeft<12>(rawE), hi2); const VU16 packed2 = OrAnd(raw2, ShiftLeft<10>(rawE), hi2); const VU16 packed3 = OrAnd(raw3, ShiftLeft<8>(rawE), hi2); const VU16 packed4 = OrAnd(raw4, ShiftLeft<6>(rawE), hi2); const VU16 packed5 = OrAnd(raw5, ShiftLeft<4>(rawE), hi2); const VU16 packed6 = OrAnd(raw6, ShiftLeft<2>(rawE), hi2); const VU16 packed7 = Or(raw7, ShiftLeft<14>(rawF)); const VU16 packed8 = OrAnd(raw8, ShiftLeft<12>(rawF), hi2); const VU16 packed9 = OrAnd(raw9, ShiftLeft<10>(rawF), hi2); const VU16 packedA = OrAnd(rawA, ShiftLeft<8>(rawF), hi2); const VU16 packedB = OrAnd(rawB, ShiftLeft<6>(rawF), hi2); const VU16 packedC = OrAnd(rawC, ShiftLeft<4>(rawF), hi2); const VU16 packedD = OrAnd(rawD, ShiftLeft<2>(rawF), hi2); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); StoreU(packed2, d, packed_out + 2 * N); StoreU(packed3, d, packed_out + 3 * N); StoreU(packed4, d, packed_out + 4 * N); StoreU(packed5, d, packed_out + 5 * N); StoreU(packed6, d, packed_out + 6 * N); StoreU(packed7, d, packed_out + 7 * N); StoreU(packed8, d, packed_out + 8 * N); StoreU(packed9, d, packed_out + 9 * N); StoreU(packedA, d, packed_out + 0xA * N); StoreU(packedB, d, packed_out + 0xB * N); StoreU(packedC, d, packed_out + 0xC * N); StoreU(packedD, d, packed_out + 0xD * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 packed0 = BitCast(d, LoadU(d, packed_in + 0 * N)); const VU16 packed1 = BitCast(d, LoadU(d, packed_in + 1 * N)); const VU16 packed2 = BitCast(d, LoadU(d, packed_in + 2 * N)); const VU16 packed3 = BitCast(d, LoadU(d, packed_in + 3 * N)); const VU16 packed4 = BitCast(d, LoadU(d, packed_in + 4 * N)); const VU16 packed5 = BitCast(d, LoadU(d, packed_in + 5 * N)); const VU16 packed6 = BitCast(d, LoadU(d, packed_in + 6 * N)); const VU16 packed7 = BitCast(d, LoadU(d, packed_in + 7 * N)); const VU16 packed8 = BitCast(d, LoadU(d, packed_in + 8 * N)); const VU16 packed9 = BitCast(d, LoadU(d, packed_in + 9 * N)); const VU16 packedA = BitCast(d, LoadU(d, packed_in + 0xA * N)); const VU16 packedB = BitCast(d, LoadU(d, packed_in + 0xB * N)); const VU16 packedC = BitCast(d, LoadU(d, packed_in + 0xC * N)); const VU16 packedD = BitCast(d, LoadU(d, packed_in + 0xD * N)); const VU16 mask = Set(d, 0x3FFFu); // Lowest 14 bits const VU16 raw0 = And(packed0, mask); StoreU(raw0, d, raw + 0 * N); const VU16 raw1 = And(packed1, mask); StoreU(raw1, d, raw + 1 * N); const VU16 raw2 = And(packed2, mask); StoreU(raw2, d, raw + 2 * N); const VU16 raw3 = And(packed3, mask); StoreU(raw3, d, raw + 3 * N); const VU16 raw4 = And(packed4, mask); StoreU(raw4, d, raw + 4 * N); const VU16 raw5 = And(packed5, mask); StoreU(raw5, d, raw + 5 * N); const VU16 raw6 = And(packed6, mask); StoreU(raw6, d, raw + 6 * N); const VU16 raw7 = And(packed7, mask); StoreU(raw7, d, raw + 7 * N); const VU16 raw8 = And(packed8, mask); StoreU(raw8, d, raw + 8 * N); const VU16 raw9 = And(packed9, mask); StoreU(raw9, d, raw + 9 * N); const VU16 rawA = And(packedA, mask); StoreU(rawA, d, raw + 0xA * N); const VU16 rawB = And(packedB, mask); StoreU(rawB, d, raw + 0xB * N); const VU16 rawC = And(packedC, mask); StoreU(rawC, d, raw + 0xC * N); const VU16 rawD = And(packedD, mask); StoreU(rawD, d, raw + 0xD * N); // rawE is the concatenation of the top two bits in packed0..6. const VU16 E0 = Xor3(ShiftRight<14>(packed0), // ShiftRight<12>(AndNot(mask, packed1)), ShiftRight<10>(AndNot(mask, packed2))); const VU16 E1 = Xor3(ShiftRight<8>(AndNot(mask, packed3)), ShiftRight<6>(AndNot(mask, packed4)), ShiftRight<4>(AndNot(mask, packed5))); const VU16 rawE = Xor3(ShiftRight<2>(AndNot(mask, packed6)), E0, E1); const VU16 F0 = Xor3(ShiftRight<14>(AndNot(mask, packed7)), ShiftRight<12>(AndNot(mask, packed8)), ShiftRight<10>(AndNot(mask, packed9))); const VU16 F1 = Xor3(ShiftRight<8>(AndNot(mask, packedA)), ShiftRight<6>(AndNot(mask, packedB)), ShiftRight<4>(AndNot(mask, packedC))); const VU16 rawF = Xor3(ShiftRight<2>(AndNot(mask, packedD)), F0, F1); StoreU(rawE, d, raw + 0xE * N); StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<14> template <> struct Pack16<15> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); // 15 vectors, each with 15+1 bits; one packed vector is scattered // across the upper bit. const VU16 hi1 = Set(d, 0x8000u); const VU16 packed0 = Or(raw0, ShiftLeft<15>(rawF)); const VU16 packed1 = OrAnd(raw1, ShiftLeft<14>(rawF), hi1); const VU16 packed2 = OrAnd(raw2, ShiftLeft<13>(rawF), hi1); const VU16 packed3 = OrAnd(raw3, ShiftLeft<12>(rawF), hi1); const VU16 packed4 = OrAnd(raw4, ShiftLeft<11>(rawF), hi1); const VU16 packed5 = OrAnd(raw5, ShiftLeft<10>(rawF), hi1); const VU16 packed6 = OrAnd(raw6, ShiftLeft<9>(rawF), hi1); const VU16 packed7 = OrAnd(raw7, ShiftLeft<8>(rawF), hi1); const VU16 packed8 = OrAnd(raw8, ShiftLeft<7>(rawF), hi1); const VU16 packed9 = OrAnd(raw9, ShiftLeft<6>(rawF), hi1); const VU16 packedA = OrAnd(rawA, ShiftLeft<5>(rawF), hi1); const VU16 packedB = OrAnd(rawB, ShiftLeft<4>(rawF), hi1); const VU16 packedC = OrAnd(rawC, ShiftLeft<3>(rawF), hi1); const VU16 packedD = OrAnd(rawD, ShiftLeft<2>(rawF), hi1); const VU16 packedE = OrAnd(rawE, ShiftLeft<1>(rawF), hi1); StoreU(packed0, d, packed_out + 0 * N); StoreU(packed1, d, packed_out + 1 * N); StoreU(packed2, d, packed_out + 2 * N); StoreU(packed3, d, packed_out + 3 * N); StoreU(packed4, d, packed_out + 4 * N); StoreU(packed5, d, packed_out + 5 * N); StoreU(packed6, d, packed_out + 6 * N); StoreU(packed7, d, packed_out + 7 * N); StoreU(packed8, d, packed_out + 8 * N); StoreU(packed9, d, packed_out + 9 * N); StoreU(packedA, d, packed_out + 0xA * N); StoreU(packedB, d, packed_out + 0xB * N); StoreU(packedC, d, packed_out + 0xC * N); StoreU(packedD, d, packed_out + 0xD * N); StoreU(packedE, d, packed_out + 0xE * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 packed0 = BitCast(d, LoadU(d, packed_in + 0 * N)); const VU16 packed1 = BitCast(d, LoadU(d, packed_in + 1 * N)); const VU16 packed2 = BitCast(d, LoadU(d, packed_in + 2 * N)); const VU16 packed3 = BitCast(d, LoadU(d, packed_in + 3 * N)); const VU16 packed4 = BitCast(d, LoadU(d, packed_in + 4 * N)); const VU16 packed5 = BitCast(d, LoadU(d, packed_in + 5 * N)); const VU16 packed6 = BitCast(d, LoadU(d, packed_in + 6 * N)); const VU16 packed7 = BitCast(d, LoadU(d, packed_in + 7 * N)); const VU16 packed8 = BitCast(d, LoadU(d, packed_in + 8 * N)); const VU16 packed9 = BitCast(d, LoadU(d, packed_in + 9 * N)); const VU16 packedA = BitCast(d, LoadU(d, packed_in + 0xA * N)); const VU16 packedB = BitCast(d, LoadU(d, packed_in + 0xB * N)); const VU16 packedC = BitCast(d, LoadU(d, packed_in + 0xC * N)); const VU16 packedD = BitCast(d, LoadU(d, packed_in + 0xD * N)); const VU16 packedE = BitCast(d, LoadU(d, packed_in + 0xE * N)); const VU16 mask = Set(d, 0x7FFFu); // Lowest 15 bits const VU16 raw0 = And(packed0, mask); StoreU(raw0, d, raw + 0 * N); const VU16 raw1 = And(packed1, mask); StoreU(raw1, d, raw + 1 * N); const VU16 raw2 = And(packed2, mask); StoreU(raw2, d, raw + 2 * N); const VU16 raw3 = And(packed3, mask); StoreU(raw3, d, raw + 3 * N); const VU16 raw4 = And(packed4, mask); StoreU(raw4, d, raw + 4 * N); const VU16 raw5 = And(packed5, mask); StoreU(raw5, d, raw + 5 * N); const VU16 raw6 = And(packed6, mask); StoreU(raw6, d, raw + 6 * N); const VU16 raw7 = And(packed7, mask); StoreU(raw7, d, raw + 7 * N); const VU16 raw8 = And(packed8, mask); StoreU(raw8, d, raw + 8 * N); const VU16 raw9 = And(packed9, mask); StoreU(raw9, d, raw + 9 * N); const VU16 rawA = And(packedA, mask); StoreU(rawA, d, raw + 0xA * N); const VU16 rawB = And(packedB, mask); StoreU(rawB, d, raw + 0xB * N); const VU16 rawC = And(packedC, mask); StoreU(rawC, d, raw + 0xC * N); const VU16 rawD = And(packedD, mask); StoreU(rawD, d, raw + 0xD * N); const VU16 rawE = And(packedE, mask); StoreU(rawE, d, raw + 0xE * N); // rawF is the concatenation of the top bit in packed0..E. const VU16 F0 = Xor3(ShiftRight<15>(packed0), // ShiftRight<14>(AndNot(mask, packed1)), ShiftRight<13>(AndNot(mask, packed2))); const VU16 F1 = Xor3(ShiftRight<12>(AndNot(mask, packed3)), ShiftRight<11>(AndNot(mask, packed4)), ShiftRight<10>(AndNot(mask, packed5))); const VU16 F2 = Xor3(ShiftRight<9>(AndNot(mask, packed6)), ShiftRight<8>(AndNot(mask, packed7)), ShiftRight<7>(AndNot(mask, packed8))); const VU16 F3 = Xor3(ShiftRight<6>(AndNot(mask, packed9)), ShiftRight<5>(AndNot(mask, packedA)), ShiftRight<4>(AndNot(mask, packedB))); const VU16 F4 = Xor3(ShiftRight<3>(AndNot(mask, packedC)), ShiftRight<2>(AndNot(mask, packedD)), ShiftRight<1>(AndNot(mask, packedE))); const VU16 rawF = Xor3(F0, F1, Xor3(F2, F3, F4)); StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<15> template <> struct Pack16<16> { template HWY_INLINE void Pack(D d, const uint16_t* HWY_RESTRICT raw, uint16_t* HWY_RESTRICT packed_out) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = LoadU(d, raw + 0 * N); const VU16 raw1 = LoadU(d, raw + 1 * N); const VU16 raw2 = LoadU(d, raw + 2 * N); const VU16 raw3 = LoadU(d, raw + 3 * N); const VU16 raw4 = LoadU(d, raw + 4 * N); const VU16 raw5 = LoadU(d, raw + 5 * N); const VU16 raw6 = LoadU(d, raw + 6 * N); const VU16 raw7 = LoadU(d, raw + 7 * N); const VU16 raw8 = LoadU(d, raw + 8 * N); const VU16 raw9 = LoadU(d, raw + 9 * N); const VU16 rawA = LoadU(d, raw + 0xA * N); const VU16 rawB = LoadU(d, raw + 0xB * N); const VU16 rawC = LoadU(d, raw + 0xC * N); const VU16 rawD = LoadU(d, raw + 0xD * N); const VU16 rawE = LoadU(d, raw + 0xE * N); const VU16 rawF = LoadU(d, raw + 0xF * N); StoreU(raw0, d, packed_out + 0 * N); StoreU(raw1, d, packed_out + 1 * N); StoreU(raw2, d, packed_out + 2 * N); StoreU(raw3, d, packed_out + 3 * N); StoreU(raw4, d, packed_out + 4 * N); StoreU(raw5, d, packed_out + 5 * N); StoreU(raw6, d, packed_out + 6 * N); StoreU(raw7, d, packed_out + 7 * N); StoreU(raw8, d, packed_out + 8 * N); StoreU(raw9, d, packed_out + 9 * N); StoreU(rawA, d, packed_out + 0xA * N); StoreU(rawB, d, packed_out + 0xB * N); StoreU(rawC, d, packed_out + 0xC * N); StoreU(rawD, d, packed_out + 0xD * N); StoreU(rawE, d, packed_out + 0xE * N); StoreU(rawF, d, packed_out + 0xF * N); } template HWY_INLINE void Unpack(D d, const uint16_t* HWY_RESTRICT packed_in, uint16_t* HWY_RESTRICT raw) const { using VU16 = Vec; const size_t N = Lanes(d); const VU16 raw0 = BitCast(d, LoadU(d, packed_in + 0 * N)); const VU16 raw1 = BitCast(d, LoadU(d, packed_in + 1 * N)); const VU16 raw2 = BitCast(d, LoadU(d, packed_in + 2 * N)); const VU16 raw3 = BitCast(d, LoadU(d, packed_in + 3 * N)); const VU16 raw4 = BitCast(d, LoadU(d, packed_in + 4 * N)); const VU16 raw5 = BitCast(d, LoadU(d, packed_in + 5 * N)); const VU16 raw6 = BitCast(d, LoadU(d, packed_in + 6 * N)); const VU16 raw7 = BitCast(d, LoadU(d, packed_in + 7 * N)); const VU16 raw8 = BitCast(d, LoadU(d, packed_in + 8 * N)); const VU16 raw9 = BitCast(d, LoadU(d, packed_in + 9 * N)); const VU16 rawA = BitCast(d, LoadU(d, packed_in + 0xA * N)); const VU16 rawB = BitCast(d, LoadU(d, packed_in + 0xB * N)); const VU16 rawC = BitCast(d, LoadU(d, packed_in + 0xC * N)); const VU16 rawD = BitCast(d, LoadU(d, packed_in + 0xD * N)); const VU16 rawE = BitCast(d, LoadU(d, packed_in + 0xE * N)); const VU16 rawF = BitCast(d, LoadU(d, packed_in + 0xF * N)); StoreU(raw0, d, raw + 0 * N); StoreU(raw1, d, raw + 1 * N); StoreU(raw2, d, raw + 2 * N); StoreU(raw3, d, raw + 3 * N); StoreU(raw4, d, raw + 4 * N); StoreU(raw5, d, raw + 5 * N); StoreU(raw6, d, raw + 6 * N); StoreU(raw7, d, raw + 7 * N); StoreU(raw8, d, raw + 8 * N); StoreU(raw9, d, raw + 9 * N); StoreU(rawA, d, raw + 0xA * N); StoreU(rawB, d, raw + 0xB * N); StoreU(rawC, d, raw + 0xC * N); StoreU(rawD, d, raw + 0xD * N); StoreU(rawE, d, raw + 0xE * N); StoreU(rawF, d, raw + 0xF * N); } }; // Pack16<16> // The supported packing types for 32/64 bits. enum BlockPackingType { // Simple fixed bit-packing. kBitPacked, // Bit packing after subtracting a `frame of reference` value from input. kFoRBitPacked, }; namespace detail { // Generates the implementation for bit-packing/un-packing `T` type numbers // where each number takes `kBits` bits. // `S` is the remainder bits left from the previous bit-packed block. // `kLoadPos` is the offset from which the next vector block should be loaded. // `kStorePos` is the offset into which the next vector block should be stored. // `BlockPackingType` is the type of packing/unpacking for this block. template struct BitPackUnroller { static constexpr size_t B = sizeof(T) * 8; template static inline void Pack(D d, const T* HWY_RESTRICT raw, T* HWY_RESTRICT packed_out, const V& mask, const V& frame_of_reference, V& in, V& out) { // Avoid compilation errors and unnecessary template instantiation if // compiling in C++11 or C++14 mode using NextUnroller = BitPackUnroller< T, kBits, ((S <= B) ? (S + ((S < B) ? kBits : 0)) : (S % B)), kLoadPos + static_cast(S < B), kStorePos + static_cast(S > B), block_packing_type>; (void)raw; (void)mask; (void)in; const size_t N = Lanes(d); HWY_IF_CONSTEXPR(S >= B) { StoreU(out, d, packed_out + kStorePos * N); HWY_IF_CONSTEXPR(S == B) { return; } HWY_IF_CONSTEXPR(S != B) { constexpr size_t shr_amount = (kBits - S % B) % B; out = ShiftRight(in); // NextUnroller is a typedef for // Unroller if S > B is true return NextUnroller::Pack(d, raw, packed_out, mask, frame_of_reference, in, out); } } HWY_IF_CONSTEXPR(S < B) { HWY_IF_CONSTEXPR(block_packing_type == BlockPackingType::kBitPacked) { in = LoadU(d, raw + kLoadPos * N); } HWY_IF_CONSTEXPR(block_packing_type == BlockPackingType::kFoRBitPacked) { in = Sub(LoadU(d, raw + kLoadPos * N), frame_of_reference); } // Optimize for the case when `S` is zero. // We can skip `Or` + ShiftLeft` to align `in`. HWY_IF_CONSTEXPR(S == 0) { out = in; } HWY_IF_CONSTEXPR(S != 0) { out = Or(out, ShiftLeft(in)); } // NextUnroller is a typedef for // Unroller if S < B is true return NextUnroller::Pack(d, raw, packed_out, mask, frame_of_reference, in, out); } } template static inline void Unpack(D d, const T* HWY_RESTRICT packed_in, T* HWY_RESTRICT raw, const V& mask, const V& frame_of_reference, V& in, V& out) { // Avoid compilation errors and unnecessary template instantiation if // compiling in C++11 or C++14 mode using NextUnroller = BitPackUnroller< T, kBits, ((S <= B) ? (S + ((S < B) ? kBits : 0)) : (S % B)), kLoadPos + static_cast(S > B), kStorePos + static_cast(S < B), block_packing_type>; (void)packed_in; (void)mask; (void)in; const size_t N = Lanes(d); HWY_IF_CONSTEXPR(S >= B) { HWY_IF_CONSTEXPR(S == B) { V bitpacked_output = out; HWY_IF_CONSTEXPR(block_packing_type == BlockPackingType::kFoRBitPacked) { bitpacked_output = Add(bitpacked_output, frame_of_reference); } StoreU(bitpacked_output, d, raw + kStorePos * N); return; } HWY_IF_CONSTEXPR(S != B) { in = LoadU(d, packed_in + kLoadPos * N); constexpr size_t shl_amount = (kBits - S % B) % B; out = And(Or(out, ShiftLeft(in)), mask); // NextUnroller is a typedef for // Unroller if S > B is true return NextUnroller::Unpack(d, packed_in, raw, mask, frame_of_reference, in, out); } } HWY_IF_CONSTEXPR(S < B) { V bitpacked_output = out; HWY_IF_CONSTEXPR(block_packing_type == BlockPackingType::kFoRBitPacked) { bitpacked_output = Add(bitpacked_output, frame_of_reference); } StoreU(bitpacked_output, d, raw + kStorePos * N); HWY_IF_CONSTEXPR(S + kBits < B) { // Optimize for the case when `S` is zero. // We can skip the `ShiftRight` to align `in`. HWY_IF_CONSTEXPR(S == 0) { out = And(in, mask); } HWY_IF_CONSTEXPR(S != 0) { out = And(ShiftRight(in), mask); } } HWY_IF_CONSTEXPR(S + kBits >= B) { out = ShiftRight(in); } // NextUnroller is a typedef for // Unroller if S < B is true return NextUnroller::Unpack(d, packed_in, raw, mask, frame_of_reference, in, out); } } }; // Computes the highest power of two that divides `kBits`. template constexpr size_t NumLoops() { return (kBits & ~(kBits - 1)); } template constexpr size_t PackedIncr() { return kBits / NumLoops(); } template constexpr size_t UnpackedIncr() { return (sizeof(T) * 8) / NumLoops(); } template constexpr uint32_t MaskBits32() { return static_cast((1ull << kBits) - 1); } template constexpr uint64_t MaskBits64() { return (uint64_t{1} << kBits) - 1; } template <> constexpr uint64_t MaskBits64<64>() { return ~uint64_t{0}; } } // namespace detail template // <= 32 struct Pack32 { template HWY_INLINE void Pack(D d, const uint32_t* HWY_RESTRICT raw, uint32_t* HWY_RESTRICT packed_out, const uint32_t frame_of_reference_value = 0) const { using V = VFromD; const V mask = Set(d, detail::MaskBits32()); const V frame_of_reference = Set(d, frame_of_reference_value); for (size_t i = 0; i < detail::NumLoops(); ++i) { V in = Zero(d); V out = Zero(d); detail::BitPackUnroller::Pack(d, raw, packed_out, mask, frame_of_reference, in, out); raw += detail::UnpackedIncr() * Lanes(d); packed_out += detail::PackedIncr() * Lanes(d); } } template HWY_INLINE void Unpack(D d, const uint32_t* HWY_RESTRICT packed_in, uint32_t* HWY_RESTRICT raw, const uint32_t frame_of_reference_value = 0) const { using V = VFromD; const V mask = Set(d, detail::MaskBits32()); const V frame_of_reference = Set(d, frame_of_reference_value); for (size_t i = 0; i < detail::NumLoops(); ++i) { V in = LoadU(d, packed_in + 0 * Lanes(d)); V out = And(in, mask); detail::BitPackUnroller::Unpack(d, packed_in, raw, mask, frame_of_reference, in, out); raw += detail::UnpackedIncr() * Lanes(d); packed_in += detail::PackedIncr() * Lanes(d); } } }; template // <= 64 struct Pack64 { template HWY_INLINE void Pack(D d, const uint64_t* HWY_RESTRICT raw, uint64_t* HWY_RESTRICT packed_out, const uint64_t frame_of_reference_value = 0) const { using V = VFromD; const V mask = Set(d, detail::MaskBits64()); const V frame_of_reference = Set(d, frame_of_reference_value); for (size_t i = 0; i < detail::NumLoops(); ++i) { V in = Zero(d); V out = Zero(d); detail::BitPackUnroller::Pack(d, raw, packed_out, mask, frame_of_reference, in, out); raw += detail::UnpackedIncr() * Lanes(d); packed_out += detail::PackedIncr() * Lanes(d); } } template HWY_INLINE void Unpack(D d, const uint64_t* HWY_RESTRICT packed_in, uint64_t* HWY_RESTRICT raw, const uint64_t frame_of_reference_value = 0) const { using V = VFromD; const V mask = Set(d, detail::MaskBits64()); const V frame_of_reference = Set(d, frame_of_reference_value); for (size_t i = 0; i < detail::NumLoops(); ++i) { V in = LoadU(d, packed_in + 0 * Lanes(d)); V out = And(in, mask); detail::BitPackUnroller::Unpack(d, packed_in, raw, mask, frame_of_reference, in, out); raw += detail::UnpackedIncr() * Lanes(d); packed_in += detail::PackedIncr() * Lanes(d); } } }; // NOLINTNEXTLINE(google-readability-namespace-comments) } // namespace HWY_NAMESPACE } // namespace hwy HWY_AFTER_NAMESPACE(); #endif // HIGHWAY_HWY_CONTRIB_BIT_PACK_INL_H_ highway-1.3.0/hwy/contrib/bit_pack/bit_pack_test.cc000066400000000000000000000215661504730760100223350ustar00rootroot00000000000000// Copyright 2022 Google LLC // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include #include #include "hwy/aligned_allocator.h" #include "hwy/base.h" #include "hwy/nanobenchmark.h" // clang-format off #undef HWY_TARGET_INCLUDE #define HWY_TARGET_INCLUDE "hwy/contrib/bit_pack/bit_pack_test.cc" // NOLINT #include "hwy/foreach_target.h" // IWYU pragma: keep #include "hwy/highway.h" #include "hwy/timer.h" #include "hwy/contrib/bit_pack/bit_pack-inl.h" #include "hwy/tests/test_util-inl.h" // clang-format on #ifndef HWY_BIT_PACK_BENCHMARK #define HWY_BIT_PACK_BENCHMARK 0 #endif HWY_BEFORE_NAMESPACE(); namespace hwy { // Used to prevent running benchmark (slow) for partial vectors and targets // except the best available. Global, not per-target, hence must be outside // HWY_NAMESPACE. Declare first because HWY_ONCE is only true after some code // has been re-included. extern size_t last_bits; extern uint64_t best_target; #if HWY_ONCE size_t last_bits = 0; uint64_t best_target = ~0ull; #endif namespace HWY_NAMESPACE { namespace { template T Random(RandomState& rng) { return ConvertScalarTo(Random32(&rng) & kBits); } template class Checker { public: explicit Checker(size_t num) { raw_.reserve(num); } void NotifyRaw(T raw) { raw_.push_back(raw); } void NotifyRawOutput(size_t bits, T raw) { if (raw_[num_verified_] != raw) { HWY_ABORT("%zu bits: pos %zu of %zu, expected %.0f actual %.0f\n", bits, num_verified_, raw_.size(), ConvertScalarTo(raw_[num_verified_]), ConvertScalarTo(raw)); } ++num_verified_; } private: std::vector raw_; size_t num_verified_ = 0; }; template

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