diff --git a/.gitignore b/.gitignore index 179a9f9f459c..1e92133337f0 100644 --- a/.gitignore +++ b/.gitignore @@ -10,6 +10,7 @@ crates/re_types_builder/source_hash.txt *.o **/arrow/ **/build/ +**/build-msvc/ **/CMakeFiles/ **/CMakeCache.txt **/Makefile diff --git a/Cargo.lock b/Cargo.lock index c5fd7637076d..4a8e9a3f8b7f 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -2794,6 +2794,18 @@ dependencies = [ "log", ] +[[package]] +name = "log_benchmark" +version = "0.11.0-alpha.1+dev" +dependencies = [ + "anyhow", + "bytemuck", + "clap", + "glam", + "re_tracing", + "rerun", +] + [[package]] name = "lz4_flex" version = "0.10.0" diff --git a/Cargo.toml b/Cargo.toml index cb2b9a77d996..8c21b8bb9af8 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -6,8 +6,9 @@ members = [ "docs/code-examples", "rerun_py", "run_wasm", - "tests/rust/test_*", + "tests/rust/log_benchmark", "tests/rust/roundtrips/*", + "tests/rust/test_*", ] [workspace.package] @@ -80,6 +81,7 @@ async-executor = "1.0" backtrace = "0.3" bincode = "1.3" bitflags = "1.3" +blackbox = "0.2.0" bytemuck = { version = "1.11", features = ["extern_crate_alloc"] } camino = "1.1" cargo-run-wasm = "0.3.2" diff --git a/pixi.lock b/pixi.lock index 449cde449be2..7262bc7d40f4 100644 --- a/pixi.lock +++ b/pixi.lock @@ -18,17 +18,16 @@ metadata: inputs_metadata: null custom_metadata: null package: -- name: _libgcc_mutex +- platform: linux-64 + name: _libgcc_mutex version: '0.1' + category: main manager: conda - platform: linux-64 - dependencies: {} + dependencies: [] url: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2 hash: md5: d7c89558ba9fa0495403155b64376d81 sha256: fe51de6107f9edc7aa4f786a70f4a883943bc9d39b3bb7307c04c41410990726 - optional: false - category: main build: conda_forge arch: x86_64 subdir: linux-64 @@ -36,19 +35,18 @@ package: license: None size: 2562 timestamp: 1578324546067 -- name: _openmp_mutex +- platform: linux-64 + name: _openmp_mutex version: '4.5' + category: main manager: conda - platform: linux-64 dependencies: - _libgcc_mutex: ==0.1 conda_forge - libgomp: '>=7.5.0' + - _libgcc_mutex ==0.1 conda_forge + - libgomp >=7.5.0 url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2 hash: md5: 73aaf86a425cc6e73fcf236a5a46396d sha256: fbe2c5e56a653bebb982eda4876a9178aedfc2b545f25d0ce9c4c0b508253d22 - optional: false - category: main build: 2_gnu arch: x86_64 subdir: linux-64 @@ -59,95 +57,17 @@ package: license_family: BSD size: 23621 timestamp: 1650670423406 -- name: arrow-cpp - version: 10.0.1 - manager: conda - platform: linux-64 - dependencies: - libarrow: ==10.0.1 hc3189b8_44_cpu - url: https://conda.anaconda.org/conda-forge/linux-64/arrow-cpp-10.0.1-ha770c72_44_cpu.conda - hash: - md5: 9085ef32fdacb90187d09a7def867fb5 - sha256: fe1c16111692b769bfdaa80125cbb4d994e866fd9e83d85bf84a9dbd8d6ea906 - optional: false - category: main - build: ha770c72_44_cpu - arch: x86_64 - subdir: linux-64 - build_number: 44 - license: 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'>=10.0.20348.0' - vc: '>=14.2,<15' - vc14_runtime: '>=14.29.30139' + dependencies: + - aws-c-auth >=0.7.4,<0.7.5.0a0 + - aws-c-cal >=0.6.2,<0.6.3.0a0 + - aws-c-common >=0.9.3,<0.9.4.0a0 + - aws-c-event-stream >=0.3.2,<0.3.3.0a0 + - aws-c-http >=0.7.13,<0.7.14.0a0 + - aws-c-io >=0.13.32,<0.13.33.0a0 + - aws-c-mqtt >=0.9.6,<0.9.7.0a0 + - aws-c-s3 >=0.3.17,<0.3.18.0a0 + - aws-c-sdkutils >=0.1.12,<0.1.13.0a0 + - ucrt >=10.0.20348.0 + - vc >=14.2,<15 + - vc14_runtime >=14.29.30139 url: https://conda.anaconda.org/conda-forge/win-64/aws-crt-cpp-0.23.1-h70f7a23_5.conda hash: md5: c0c9016cd7385ad14dcd575ef349c620 sha256: 7b39b5bbd278838543655068f8779e538b6cd2b7931689762127082b544eea4e - optional: false - category: main build: h70f7a23_5 arch: x86_64 subdir: win-64 @@ -1334,26 +1203,25 @@ package: license_family: Apache size: 236477 timestamp: 1695993950546 -- name: aws-sdk-cpp +- platform: linux-64 + name: aws-sdk-cpp version: 1.11.156 + category: main manager: conda - platform: linux-64 - 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aws-sdk-cpp +- platform: osx-64 + name: aws-sdk-cpp version: 1.11.156 + category: main manager: conda - platform: osx-64 - dependencies: - __osx: '>=10.9' - aws-c-common: '>=0.9.3,<0.9.4.0a0' - aws-c-event-stream: '>=0.3.2,<0.3.3.0a0' - aws-checksums: '>=0.1.17,<0.1.18.0a0' - aws-crt-cpp: '>=0.24.2,<0.24.3.0a0' - libcurl: '>=8.3.0,<9.0a0' - libcxx: '>=16.0.6' - libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.1.3,<4.0a0' + dependencies: + - __osx >=10.9 + - aws-c-common >=0.9.3,<0.9.4.0a0 + - aws-c-event-stream >=0.3.2,<0.3.3.0a0 + - aws-checksums >=0.1.17,<0.1.18.0a0 + - aws-crt-cpp >=0.24.2,<0.24.3.0a0 + - libcurl >=8.3.0,<9.0a0 + - libcxx >=16.0.6 + - libzlib >=1.2.13,<1.3.0a0 + - openssl >=3.1.3,<4.0a0 url: https://conda.anaconda.org/conda-forge/osx-64/aws-sdk-cpp-1.11.156-hf61f2bb_4.conda hash: md5: b2c502e01831e4c570b46d39a95cc110 sha256: c08c45bcdf52981467bcf56024ee746fa86f225cbfe83b5f6b3984b1355a860d - optional: false - category: main build: hf61f2bb_4 arch: x86_64 subdir: osx-64 @@ -1390,25 +1257,24 @@ package: license_family: Apache size: 3147313 timestamp: 1696711645679 -- name: aws-sdk-cpp +- platform: osx-arm64 + name: aws-sdk-cpp version: 1.11.156 + category: main manager: conda - platform: osx-arm64 dependencies: - aws-c-common: '>=0.9.3,<0.9.4.0a0' - aws-c-event-stream: '>=0.3.2,<0.3.3.0a0' - aws-checksums: '>=0.1.17,<0.1.18.0a0' - aws-crt-cpp: '>=0.23.1,<0.23.2.0a0' - libcurl: '>=8.3.0,<9.0a0' - libcxx: '>=15.0.7' - libzlib: '>=1.2.13,<1.3.0a0' - openssl: '>=3.1.3,<4.0a0' + - aws-c-common >=0.9.3,<0.9.4.0a0 + - aws-c-event-stream >=0.3.2,<0.3.3.0a0 + - aws-checksums >=0.1.17,<0.1.18.0a0 + - aws-crt-cpp >=0.23.1,<0.23.2.0a0 + - libcurl >=8.3.0,<9.0a0 + - libcxx >=15.0.7 + - libzlib >=1.2.13,<1.3.0a0 + - openssl >=3.1.3,<4.0a0 url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-sdk-cpp-1.11.156-he831950_3.conda hash: md5: 4276b9c8572bb539b41225a4b5d065ea sha256: 09d3a7557d8460c9d6abbbd915290f839af09024110dc873757785707fbcca5e - optional: false - 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dependencies: - ld_impl_linux-64: ==2.40 h41732ed_0 - sysroot_linux-64: '*' + - ld_impl_linux-64 ==2.40 h41732ed_0 + - sysroot_linux-64 * url: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.40-hf600244_0.conda hash: md5: 33084421a8c0af6aef1b439707f7662a sha256: a7e0ea2b71a5b03d82e5a58fb6b612ab1c44d72ce161f9aa441f7ba467cd4c8d - optional: false - category: main build: hf600244_0 arch: x86_64 subdir: linux-64 @@ -1485,19 +1348,18 @@ package: license_family: GPL size: 5414922 timestamp: 1674833958334 -- name: binutils_linux-64 +- platform: linux-64 + name: binutils_linux-64 version: '2.40' + category: main manager: conda - platform: linux-64 dependencies: - binutils_impl_linux-64: 2.40.* - sysroot_linux-64: '*' + - binutils_impl_linux-64 2.40.* + - sysroot_linux-64 * url: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.40-hbdbef99_2.conda hash: md5: adfebae9fdc63a598495dfe3b006973a sha256: 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@@ -1532,24 +1393,23 @@ package: license_family: MIT size: 354716 timestamp: 1682492111062 -- name: black +- platform: osx-64 + name: black version: 23.3.0 + category: main manager: conda - platform: osx-64 dependencies: - click: '>=8.0.0' - mypy_extensions: '>=0.4.3' - packaging: '>=22.0' - pathspec: '>=0.9' - platformdirs: '>=2' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* *_cp311 + - click >=8.0.0 + - mypy_extensions >=0.4.3 + - packaging >=22.0 + - pathspec >=0.9 + - platformdirs >=2 + - python >=3.11,<3.12.0a0 + - python_abi 3.11.* *_cp311 url: https://conda.anaconda.org/conda-forge/osx-64/black-23.3.0-py311h6eed73b_1.conda hash: md5: 2783c68e84c0573fece0880488c7c001 sha256: 78b007b394be2e0ddd42224970be1b212639a8941fee0e7d724986155e517e24 - optional: false - category: main build: py311h6eed73b_1 arch: x86_64 subdir: osx-64 @@ -1558,24 +1418,23 @@ package: license_family: MIT size: 355441 timestamp: 1682492328351 -- name: black +- platform: osx-arm64 + name: black version: 23.3.0 + category: main manager: conda - platform: osx-arm64 dependencies: - click: '>=8.0.0' - mypy_extensions: '>=0.4.3' - packaging: '>=22.0' - pathspec: '>=0.9' - platformdirs: '>=2' - python: '>=3.11,<3.12.0a0 *_cpython' - python_abi: 3.11.* *_cp311 + - click >=8.0.0 + - mypy_extensions >=0.4.3 + - packaging >=22.0 + - pathspec >=0.9 + - platformdirs >=2 + - python >=3.11,<3.12.0a0 *_cpython + - python_abi 3.11.* *_cp311 url: https://conda.anaconda.org/conda-forge/osx-arm64/black-23.3.0-py311h267d04e_1.conda hash: md5: 6df8788f081abb97d20ffa83de27d029 sha256: 6968e8bcc232a32cd34934d14ada2a9a2549db7f8276ba9709eb16595e5545fd - optional: false - category: main build: py311h267d04e_1 arch: aarch64 subdir: osx-arm64 @@ -1584,24 +1443,23 @@ package: license_family: MIT size: 355456 timestamp: 1682492376012 -- name: black +- platform: win-64 + name: black version: 23.3.0 + category: main manager: conda - platform: win-64 dependencies: - click: '>=8.0.0' - mypy_extensions: '>=0.4.3' - packaging: '>=22.0' - pathspec: '>=0.9' - platformdirs: '>=2' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* *_cp311 + - click >=8.0.0 + - mypy_extensions >=0.4.3 + - packaging >=22.0 + - pathspec >=0.9 + - platformdirs >=2 + - python >=3.11,<3.12.0a0 + - python_abi 3.11.* *_cp311 url: https://conda.anaconda.org/conda-forge/win-64/black-23.3.0-py311h1ea47a8_1.conda hash: md5: cff72d53d4ea05005adc2f478447a0a1 sha256: 12f319748c11697ee3ea154413c7c4895db2dfcc18b44b0bdb2019da1144abdb - optional: false - category: main build: py311h1ea47a8_1 arch: x86_64 subdir: win-64 @@ -1610,23 +1468,22 @@ package: license_family: MIT size: 369420 timestamp: 1682492626505 -- name: blackdoc +- platform: linux-64 + name: blackdoc version: 0.3.8 + category: main manager: conda - platform: linux-64 dependencies: - black: '*' - importlib-metadata: '*' - more-itertools: '*' - python: '>=3.7' - rich: '*' - tomli: '*' + - black * + - importlib-metadata * + - more-itertools * + - python >=3.7 + - rich * + - 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sysroot_linux-64: '*' + - binutils_linux-64 ==2.40 hbdbef99_2 + - gcc_impl_linux-64 12.3.0.* + - sysroot_linux-64 * url: https://conda.anaconda.org/conda-forge/linux-64/gcc_linux-64-12.3.0-h76fc315_2.conda hash: md5: 11517e7b5c910c5b5d6985c0c7eb7f50 sha256: 86f6db7399ec0362e4c4025939debbfebc8ad9ccef75e3c0e4069f85b149f24d - optional: false - category: main build: h76fc315_2 arch: x86_64 subdir: linux-64 @@ -3364,19 +3146,18 @@ package: license_family: BSD size: 30351 timestamp: 1694604476800 -- name: gflags +- platform: linux-64 + name: gflags version: 2.2.2 + category: main manager: conda - platform: linux-64 dependencies: - libgcc-ng: '>=7.5.0' - libstdcxx-ng: '>=7.5.0' + - libgcc-ng >=7.5.0 + - libstdcxx-ng >=7.5.0 url: https://conda.anaconda.org/conda-forge/linux-64/gflags-2.2.2-he1b5a44_1004.tar.bz2 hash: md5: cddaf2c63ea4a5901cf09524c490ecdc sha256: a853c0cacf53cfc59e1bca8d6e5cdfe9f38fce836f08c2a69e35429c2a492e77 - optional: false - category: main build: he1b5a44_1004 arch: x86_64 subdir: linux-64 @@ -3385,18 +3166,17 @@ package: license_family: BSD size: 116549 timestamp: 1594303828933 -- name: gflags +- platform: osx-64 + name: gflags version: 2.2.2 + category: main manager: conda - platform: osx-64 dependencies: - libcxx: '>=10.0.1' + - libcxx >=10.0.1 url: https://conda.anaconda.org/conda-forge/osx-64/gflags-2.2.2-hb1e8313_1004.tar.bz2 hash: md5: 3f59cc77a929537e42120faf104e0d16 sha256: 39540f879057ae529cad131644af111a8c3c48b384ec6212de6a5381e0863948 - optional: false - category: main build: hb1e8313_1004 arch: x86_64 subdir: osx-64 @@ -3405,18 +3185,17 @@ package: license_family: BSD size: 94612 timestamp: 1599590973213 -- name: gflags +- platform: osx-arm64 + name: gflags version: 2.2.2 + category: main manager: conda - platform: osx-arm64 dependencies: - libcxx: '>=11.0.0.rc1' + - libcxx >=11.0.0.rc1 url: https://conda.anaconda.org/conda-forge/osx-arm64/gflags-2.2.2-hc88da5d_1004.tar.bz2 hash: md5: aab9ddfad863e9ef81229a1f8852211b sha256: 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gitdb +- platform: win-64 + name: gitdb version: 4.0.11 + category: main manager: conda - platform: win-64 dependencies: - python: '>=3.7' - smmap: '>=3.0.1,<6' + - python >=3.7 + - smmap >=3.0.1,<6 url: https://conda.anaconda.org/conda-forge/noarch/gitdb-4.0.11-pyhd8ed1ab_0.conda hash: md5: 623b19f616f2ca0c261441067e18ae40 sha256: 52ab2798be31b8f509eeec458712f447ced4f96ecb672c6c9a42778f47e07b1b - optional: false - category: main build: pyhd8ed1ab_0 arch: x86_64 subdir: win-64 @@ -3513,18 +3288,17 @@ package: noarch: python size: 52872 timestamp: 1697791718749 -- name: gitignore-parser +- platform: linux-64 + name: gitignore-parser version: 0.1.9 + category: main manager: conda - platform: linux-64 dependencies: - python: '>=3.7' + - python >=3.7 url: https://conda.anaconda.org/conda-forge/noarch/gitignore-parser-0.1.9-pyhd8ed1ab_0.conda hash: md5: d7a00f5bb919ecb71b3da47f33b23825 sha256: c35e803e65892d2757a9d713fd03bac57b7f5a38cbbb19ccc067831f3df409b4 - optional: false - category: 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'>=4.0.1,<5' - python: '>=3.7' - typing_extensions: '>=3.7.4.3' + - gitdb >=4.0.1,<5 + - python >=3.7 + - typing_extensions >=3.7.4.3 url: https://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.40-pyhd8ed1ab_0.conda hash: md5: 6bf74c3b7c13079a91d4bd3da51cefcf sha256: 6b85809ffbfe5c1887b674bf0492cc4dd1ac8a25f4d9fa20ef404be92186259b - optional: false - category: main build: pyhd8ed1ab_0 arch: x86_64 subdir: linux-64 @@ -3620,20 +3390,19 @@ package: noarch: python size: 147305 timestamp: 1697650463508 -- name: gitpython +- platform: osx-64 + name: gitpython version: 3.1.40 + category: main manager: conda - platform: osx-64 dependencies: - gitdb: '>=4.0.1,<5' - python: '>=3.7' - typing_extensions: '>=3.7.4.3' + - gitdb >=4.0.1,<5 + - python >=3.7 + - typing_extensions >=3.7.4.3 url: https://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.40-pyhd8ed1ab_0.conda hash: md5: 6bf74c3b7c13079a91d4bd3da51cefcf sha256: 6b85809ffbfe5c1887b674bf0492cc4dd1ac8a25f4d9fa20ef404be92186259b - optional: false - category: main build: pyhd8ed1ab_0 arch: x86_64 subdir: osx-64 @@ -3643,20 +3412,19 @@ package: noarch: python size: 147305 timestamp: 1697650463508 -- name: gitpython +- platform: osx-arm64 + name: gitpython version: 3.1.40 + category: main manager: conda - platform: osx-arm64 dependencies: - gitdb: '>=4.0.1,<5' - python: '>=3.7' - typing_extensions: '>=3.7.4.3' + - gitdb >=4.0.1,<5 + - python >=3.7 + - typing_extensions >=3.7.4.3 url: https://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.40-pyhd8ed1ab_0.conda hash: md5: 6bf74c3b7c13079a91d4bd3da51cefcf sha256: 6b85809ffbfe5c1887b674bf0492cc4dd1ac8a25f4d9fa20ef404be92186259b - optional: false - category: main build: pyhd8ed1ab_0 arch: aarch64 subdir: osx-arm64 @@ -3666,20 +3434,19 @@ package: noarch: python size: 147305 timestamp: 1697650463508 -- name: gitpython +- platform: win-64 + name: gitpython version: 3.1.40 + category: main manager: conda - platform: win-64 dependencies: - gitdb: '>=4.0.1,<5' - python: '>=3.7' - typing_extensions: '>=3.7.4.3' + - gitdb >=4.0.1,<5 + - python >=3.7 + - typing_extensions >=3.7.4.3 url: https://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.40-pyhd8ed1ab_0.conda hash: md5: 6bf74c3b7c13079a91d4bd3da51cefcf sha256: 6b85809ffbfe5c1887b674bf0492cc4dd1ac8a25f4d9fa20ef404be92186259b - optional: false - category: main build: pyhd8ed1ab_0 arch: x86_64 subdir: win-64 @@ -3689,20 +3456,19 @@ package: noarch: python size: 147305 timestamp: 1697650463508 -- name: glog +- platform: linux-64 + name: glog version: 0.6.0 + category: main manager: conda - platform: linux-64 dependencies: - gflags: '>=2.2.2,<2.3.0a0' - libgcc-ng: '>=10.3.0' - libstdcxx-ng: '>=10.3.0' + - gflags >=2.2.2,<2.3.0a0 + - libgcc-ng >=10.3.0 + - libstdcxx-ng >=10.3.0 url: https://conda.anaconda.org/conda-forge/linux-64/glog-0.6.0-h6f12383_0.tar.bz2 hash: md5: b31f3565cb84435407594e548a2fb7b2 sha256: 888cbcfb67f6e3d88a4c4ab9d26c9a406f620c4101a35dc6d2dbadb95f2221d4 - optional: false - category: main build: h6f12383_0 arch: x86_64 subdir: linux-64 @@ -3711,19 +3477,18 @@ package: license_family: BSD size: 114321 timestamp: 1649143789233 -- name: glog +- platform: osx-64 + name: glog version: 0.6.0 + category: main manager: conda - platform: osx-64 dependencies: - gflags: '>=2.2.2,<2.3.0a0' - libcxx: '>=12.0.1' + - gflags >=2.2.2,<2.3.0a0 + - libcxx >=12.0.1 url: https://conda.anaconda.org/conda-forge/osx-64/glog-0.6.0-h8ac2a54_0.tar.bz2 hash: md5: 69eb97ca709a136c53fdca1f2fd33ddf sha256: fdb38560094fb4a952346dc72a79b3cb09e23e4d0cae9ba4f524e6e88203d3c8 - optional: false - category: main build: h8ac2a54_0 arch: x86_64 subdir: osx-64 @@ -3732,19 +3497,18 @@ package: license_family: BSD size: 100624 timestamp: 1649143914155 -- name: glog +- platform: osx-arm64 + name: glog version: 0.6.0 + category: main manager: conda - platform: osx-arm64 dependencies: - gflags: '>=2.2.2,<2.3.0a0' - libcxx: '>=12.0.1' + - gflags >=2.2.2,<2.3.0a0 + - libcxx >=12.0.1 url: 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platform: linux-64 + name: gxx_impl_linux-64 version: 12.3.0 + category: main manager: conda - platform: linux-64 dependencies: - gcc_impl_linux-64: ==12.3.0 he2b93b0_2 - libstdcxx-devel_linux-64: ==12.3.0 h8bca6fd_2 - sysroot_linux-64: '*' + - gcc_impl_linux-64 ==12.3.0 he2b93b0_2 + - libstdcxx-devel_linux-64 ==12.3.0 h8bca6fd_2 + - sysroot_linux-64 * url: https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-12.3.0-he2b93b0_2.conda hash: md5: f89b9916afc36fc5562fbfc11330a8a2 sha256: 1ca91c1a3892b61da7efe150f9a1830e18aac82f563b27bf707520cb3297cc7a - optional: false - category: main build: he2b93b0_2 arch: x86_64 subdir: linux-64 @@ -3796,21 +3558,20 @@ package: license_family: GPL size: 12667490 timestamp: 1695218983245 -- name: gxx_linux-64 +- platform: linux-64 + name: gxx_linux-64 version: 12.3.0 + category: main manager: conda - platform: linux-64 dependencies: - binutils_linux-64: ==2.40 hbdbef99_2 - gcc_linux-64: ==12.3.0 h76fc315_2 - gxx_impl_linux-64: 12.3.0.* - sysroot_linux-64: '*' + - binutils_linux-64 ==2.40 hbdbef99_2 + - gcc_linux-64 ==12.3.0 h76fc315_2 + - gxx_impl_linux-64 12.3.0.* + - sysroot_linux-64 * url: https://conda.anaconda.org/conda-forge/linux-64/gxx_linux-64-12.3.0-h8a814eb_2.conda hash: md5: f517b1525e9783849bd56a5dc45a9960 sha256: 9878771cf1316230150a795d213a2f1dd7dead07dc0bccafae20533d631d5e69 - optional: false - category: main build: h8a814eb_2 arch: x86_64 subdir: linux-64 @@ -3819,19 +3580,18 @@ package: license_family: BSD size: 28640 timestamp: 1694604524890 -- name: icu +- platform: linux-64 + name: icu version: '73.2' + category: main manager: conda - platform: linux-64 dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' + - libgcc-ng >=12 + - libstdcxx-ng >=12 url: https://conda.anaconda.org/conda-forge/linux-64/icu-73.2-h59595ed_0.conda hash: md5: cc47e1facc155f91abd89b11e48e72ff sha256: e12fd90ef6601da2875ebc432452590bc82a893041473bc1c13ef29001a73ea8 - optional: false - category: main build: h59595ed_0 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platform: win-64 dependencies: - vc: '>=14.1,<15.0a0' - vs2015_runtime: '>=14.16.27012' + - vc >=14.1,<15.0a0 + - vs2015_runtime >=14.16.27012 url: https://conda.anaconda.org/conda-forge/win-64/yaml-0.2.5-h8ffe710_2.tar.bz2 hash: md5: adbfb9f45d1004a26763652246a33764 sha256: 4e2246383003acbad9682c7c63178e2e715ad0eb84f03a8df1fbfba455dfedc5 - optional: false - category: main build: h8ffe710_2 arch: x86_64 subdir: win-64 @@ -11935,18 +11350,17 @@ package: license_family: MIT size: 63274 timestamp: 1641347623319 -- name: zipp +- platform: linux-64 + name: zipp version: 3.17.0 + category: main manager: conda - platform: linux-64 dependencies: - python: '>=3.8' + - python >=3.8 url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda hash: md5: 2e4d6bc0b14e10f895fc6791a7d9b26a sha256: bced1423fdbf77bca0a735187d05d9b9812d2163f60ab426fc10f11f92ecbe26 - optional: false - category: main build: pyhd8ed1ab_0 arch: x86_64 subdir: linux-64 @@ -11956,18 +11370,17 @@ package: noarch: python size: 18954 timestamp: 1695255262261 -- name: zipp +- platform: osx-64 + name: zipp version: 3.17.0 + category: main manager: conda - platform: osx-64 dependencies: - python: '>=3.8' + - python >=3.8 url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda hash: md5: 2e4d6bc0b14e10f895fc6791a7d9b26a sha256: bced1423fdbf77bca0a735187d05d9b9812d2163f60ab426fc10f11f92ecbe26 - optional: false - category: main build: pyhd8ed1ab_0 arch: x86_64 subdir: osx-64 @@ -11977,18 +11390,17 @@ package: noarch: python size: 18954 timestamp: 1695255262261 -- name: zipp +- platform: osx-arm64 + name: zipp version: 3.17.0 + category: main manager: conda - platform: osx-arm64 dependencies: - python: '>=3.8' + - python >=3.8 url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda hash: md5: 2e4d6bc0b14e10f895fc6791a7d9b26a sha256: bced1423fdbf77bca0a735187d05d9b9812d2163f60ab426fc10f11f92ecbe26 - optional: false - category: main build: pyhd8ed1ab_0 arch: aarch64 subdir: osx-arm64 @@ -11998,18 +11410,17 @@ package: noarch: python size: 18954 timestamp: 1695255262261 -- name: zipp +- platform: win-64 + name: zipp version: 3.17.0 + category: main manager: conda - platform: win-64 dependencies: - python: '>=3.8' + - python >=3.8 url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda hash: md5: 2e4d6bc0b14e10f895fc6791a7d9b26a sha256: bced1423fdbf77bca0a735187d05d9b9812d2163f60ab426fc10f11f92ecbe26 - optional: false - category: main build: pyhd8ed1ab_0 arch: x86_64 subdir: win-64 @@ -12019,20 +11430,19 @@ package: noarch: python size: 18954 timestamp: 1695255262261 -- name: zstd +- platform: linux-64 + name: zstd version: 1.5.5 + category: main manager: conda - platform: linux-64 dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' - libzlib: '>=1.2.13,<1.3.0a0' + - libgcc-ng >=12 + - libstdcxx-ng >=12 + - libzlib >=1.2.13,<1.3.0a0 url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.5-hfc55251_0.conda hash: md5: 04b88013080254850d6c01ed54810589 sha256: 607cbeb1a533be98ba96cf5cdf0ddbb101c78019f1fda063261871dad6248609 - optional: false - category: main build: hfc55251_0 arch: x86_64 subdir: linux-64 @@ -12041,18 +11451,17 @@ package: license_family: BSD size: 545199 timestamp: 1693151163452 -- name: zstd +- platform: osx-64 + name: zstd version: 1.5.5 + category: main manager: conda - platform: osx-64 dependencies: - libzlib: '>=1.2.13,<1.3.0a0' + - libzlib >=1.2.13,<1.3.0a0 url: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.5-h829000d_0.conda hash: md5: 80abc41d0c48b82fe0f04e7f42f5cb7e sha256: d54e31d3d8de5e254c0804abd984807b8ae5cd3708d758a8bf1adff1f5df166c - optional: false - category: main build: h829000d_0 arch: x86_64 subdir: osx-64 @@ -12061,18 +11470,17 @@ package: license_family: BSD size: 499383 timestamp: 1693151312586 -- name: zstd +- platform: osx-arm64 + name: zstd version: 1.5.5 + category: main manager: conda - platform: osx-arm64 dependencies: - libzlib: '>=1.2.13,<1.3.0a0' + - libzlib >=1.2.13,<1.3.0a0 url: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.5-h4f39d0f_0.conda hash: md5: 5b212cfb7f9d71d603ad891879dc7933 sha256: 7e1fe6057628bbb56849a6741455bbb88705bae6d6646257e57904ac5ee5a481 - optional: false - category: main build: h4f39d0f_0 arch: aarch64 subdir: osx-arm64 @@ -12081,21 +11489,20 @@ package: license_family: BSD size: 400508 timestamp: 1693151393180 -- name: zstd +- platform: win-64 + name: zstd version: 1.5.5 + category: main manager: conda - platform: win-64 dependencies: - libzlib: '>=1.2.13,<1.3.0a0' - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vc14_runtime: '>=14.29.30139' + - libzlib >=1.2.13,<1.3.0a0 + - ucrt >=10.0.20348.0 + - vc >=14.2,<15 + - vc14_runtime >=14.29.30139 url: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.5-h12be248_0.conda hash: md5: 792bb5da68bf0a6cac6a6072ecb8dbeb sha256: d540dd56c5ec772b60e4ce7d45f67f01c6614942225885911964ea1e70bb99e3 - optional: false - category: main build: h12be248_0 arch: x86_64 subdir: win-64 diff --git a/pixi.toml b/pixi.toml index 6fb8e56e9f99..3473d7955453 100644 --- a/pixi.toml +++ b/pixi.toml @@ -21,32 +21,6 @@ readme = "README.md" repository = "https://github.com/rerun-io/rerun" version = "0.1.0" # TODO(emilk): sync version with `Cargo.toml` with help from `crates.py` -# We could use Ninja on Windows as well, but this makes the compiler setup needlessly complicated. -# Also, it's more likely that users are also going to use Visual Studio/MSBuild directly. -[target.win-64.tasks] -cpp-prepare = "cmake -G 'Visual Studio 17 2022' -B build -S . -DCMAKE_BUILD_TYPE=Debug" -cpp-test = { cmd = "export RERUN_STRICT=1 && ./build/rerun_cpp/tests/Debug/rerun_sdk_tests.exe", depends_on = [ - "cpp-build-tests", -] } - -[target.linux-64.tasks] -cpp-prepare = "cmake -G 'Ninja' -B build -S . -DCMAKE_BUILD_TYPE=Debug" -cpp-test = { cmd = "export RERUN_STRICT=1 && ./build/rerun_cpp/tests/rerun_sdk_tests", depends_on = [ - "cpp-build-tests", -] } - -[target.osx-64.tasks] -cpp-prepare = "cmake -G 'Ninja' -B build -S . -DCMAKE_BUILD_TYPE=Debug" -cpp-test = { cmd = "export RERUN_STRICT=1 && ./build/rerun_cpp/tests/rerun_sdk_tests", depends_on = [ - "cpp-build-tests", -] } - -[target.osx-arm64.tasks] -cpp-prepare = "cmake -G 'Ninja' -B build -S . -DCMAKE_BUILD_TYPE=Debug" -cpp-test = { cmd = "export RERUN_STRICT=1 && ./build/rerun_cpp/tests/rerun_sdk_tests", depends_on = [ - "cpp-build-tests", -] } - [tasks] # Note: extra CLI argument after `pixi run TASK` are passed to the task cmd. @@ -74,14 +48,12 @@ py-test = { cmd = "python -m pytest -vv rerun_py/tests/unit", depends_on = [ ] } # All the cpp-* tasks can be configured with environment variables, e.g.: RERUN_WERROR=ON CXX=clang++ -cpp-clean = "rm -rf build CMakeCache.txt CMakeFiles" -cpp-build-all = { depends_on = [ +cpp-prepare-release = "cmake -G 'Ninja' -B build -S . -DCMAKE_BUILD_TYPE=Release" +cpp-prepare = "cmake -G 'Ninja' -B build -S . -DCMAKE_BUILD_TYPE=Debug" +cpp-build-all = { cmd = "cmake --build build --config Debug --target all", depends_on = [ "cpp-prepare", - "cpp-build-doc-examples", - "cpp-build-examples", - "cpp-build-roundtrips", - "cpp-build-tests", ] } +cpp-clean = "rm -rf build CMakeCache.txt CMakeFiles" cpp-build-tests = { cmd = "cmake --build build --config Debug --target rerun_sdk_tests", depends_on = [ "cpp-prepare", ] } @@ -94,11 +66,20 @@ cpp-build-examples = { cmd = "cmake --build build --config Debug --target exampl cpp-build-doc-examples = { cmd = "cmake --build build --config Debug --target doc_examples", depends_on = [ "cpp-prepare", ] } +cpp-build-log-benchmark = { cmd = "cmake --build build --config Release --target log_benchmark", depends_on = [ + "cpp-prepare-release", +] } cpp-test = { cmd = "export RERUN_STRICT=1 && ./build/rerun_cpp/tests/rerun_sdk_tests", depends_on = [ "cpp-build-tests", ] } +cpp-log-benchmark = { cmd = "export RERUN_STRICT=1 && ./build/tests/cpp/log_benchmark/log_benchmark", depends_on = [ + "cpp-build-log-benchmark", +] } cpp-build-and-test-all = { depends_on = ["cpp-build-all", "cpp-test"] } +[target.win-64.tasks] +cpp-prepare-msvc = "cmake -G 'Visual Studio 17 2022' -B build-msvc -S ." + [dependencies] attrs = ">=23.1.0" blackdoc = "0.3.8" @@ -121,6 +102,7 @@ taplo = ">=0.8.1" typing_extensions = ">4.5" typos = ">=1.16.20" wheel = ">=0.38,<0.39" +ninja = "1.11.1" [target.linux-64.dependencies] patchelf = ">=0.17" diff --git a/tests/cpp/CMakeLists.txt b/tests/cpp/CMakeLists.txt index cb94e680a274..0e6473b2fe3b 100644 --- a/tests/cpp/CMakeLists.txt +++ b/tests/cpp/CMakeLists.txt @@ -1,3 +1,4 @@ cmake_minimum_required(VERSION 3.16...3.27) add_subdirectory(roundtrips) +add_subdirectory(log_benchmark) diff --git a/tests/cpp/log_benchmark/CMakeLists.txt b/tests/cpp/log_benchmark/CMakeLists.txt new file mode 100644 index 000000000000..db222de2965c --- /dev/null +++ b/tests/cpp/log_benchmark/CMakeLists.txt @@ -0,0 +1,7 @@ +cmake_minimum_required(VERSION 3.16...3.27) + +file(GLOB LOG_BENCHMARK_SOURCES LIST_DIRECTORIES true ${CMAKE_CURRENT_SOURCE_DIR}/*) + +add_executable(log_benchmark ${LOG_BENCHMARK_SOURCES}) +rerun_strict_warning_settings(log_benchmark) +target_link_libraries(log_benchmark PRIVATE rerun_sdk) diff --git a/tests/cpp/log_benchmark/benchmarks.hpp b/tests/cpp/log_benchmark/benchmarks.hpp new file mode 100644 index 000000000000..1e968e4afa8c --- /dev/null +++ b/tests/cpp/log_benchmark/benchmarks.hpp @@ -0,0 +1,20 @@ +#pragma once + +#include + +/// Log a single large batch of points with positions, colors, radii and a splatted string. +void run_points3d_large_batch(); + +/// Log many individual points (position, color, radius), each with a different timestamp. +void run_points3d_many_individual(); + +/// Log a few large images. +void run_image(); + +// --- + +/// Very simple linear congruency "random" number generator to spread out values a bit. +inline int64_t lcg(int64_t& lcg_state) { + lcg_state = 1140671485 * lcg_state + 128201163 % 16777216; + return lcg_state; +} diff --git a/tests/cpp/log_benchmark/image.cpp b/tests/cpp/log_benchmark/image.cpp new file mode 100644 index 000000000000..1682d6762404 --- /dev/null +++ b/tests/cpp/log_benchmark/image.cpp @@ -0,0 +1,52 @@ +#include + +#include "benchmarks.hpp" +#include "profile_scope.hpp" + +#include + +// About 1gb of image data. +constexpr size_t IMAGE_DIMENSION = 16384; +constexpr size_t IMAGE_CHANNELS = 4; + +// How many times we log the image. +// Each time with a single pixel changed. +constexpr size_t NUM_LOG_CALLS = 4; + +static std::vector prepare() { + PROFILE_FUNCTION(); + + std::vector image( + IMAGE_DIMENSION * IMAGE_DIMENSION * IMAGE_CHANNELS, + static_cast(0) + ); + + return image; +} + +static void execute(std::vector raw_image_data) { + PROFILE_FUNCTION(); + + rerun::RecordingStream rec("rerun_example_benchmark_image"); + + for (size_t i = 0; i < NUM_LOG_CALLS; ++i) { + raw_image_data[i] += 1; + rec.log( + "test_image", + rerun::Image( + { + IMAGE_DIMENSION, + IMAGE_DIMENSION, + IMAGE_CHANNELS, + }, + raw_image_data + ) + ); + } +} + +void run_image() { + PROFILE_FUNCTION(); + auto input = prepare(); + execute(std::move(input)); +} diff --git a/tests/cpp/log_benchmark/main.cpp b/tests/cpp/log_benchmark/main.cpp new file mode 100644 index 000000000000..2852f03abbd1 --- /dev/null +++ b/tests/cpp/log_benchmark/main.cpp @@ -0,0 +1,68 @@ +// Simple benchmark suite for logging data. +// The goal is to get an estimate for the entire process of logging data, +// including serialization and processing by the recording stream. +// +// Timings are printed out while running, it's recommended to measure process run time to ensure +// we account for all startup overheads and have all background threads finish. +// +// If not specified otherwise, memory recordings are used. +// +// The data we generate for benchmarking should be: +// * minimal overhead to generate +// * not homogeneous (arrow, ourselves, or even the compiler might exploit this) +// * not trivially optimized out +// * not random between runs +// +// Run all benchmarks using: +// ``` +// pixi run cpp-log-benchmark +// ``` +// Or, run a single benchmark using: +// ``` +// pixi run cpp-log-benchmark points3d_large_batch +// ``` +// +// For better whole-executable timing capture you can also first build the executable and then run: +// ``` +// pixi run cpp-build-log-benchmark +// ./build/tests/cpp/log_benchmark/log_benchmark +// ``` +// + +#include +#include +#include + +#include "benchmarks.hpp" + +static const char* ArgPoints3DLargeBatch = "points3d_large_batch"; +static const char* ArgPoints3DManyIndividual = "points3d_many_individual"; +static const char* ArgImage = "image"; + +int main(int argc, char** argv) { +#ifndef NDEBUG + printf("WARNING: Debug build, timings will be inaccurate!\n"); +#endif + + std::vector benchmarks(argv + 1, argv + argc); + if (argc == 1) { + benchmarks.push_back(ArgPoints3DLargeBatch); + benchmarks.push_back(ArgPoints3DManyIndividual); + benchmarks.push_back(ArgImage); + } + + for (const auto& benchmark : benchmarks) { + if (strcmp(benchmark, ArgPoints3DLargeBatch) == 0) { + run_points3d_large_batch(); + } else if (strcmp(benchmark, ArgPoints3DManyIndividual) == 0) { + run_points3d_many_individual(); + } else if (strcmp(benchmark, ArgImage) == 0) { + run_image(); + } else { + printf("Unknown benchmark: %s\n", benchmark); + return 1; + } + } + + return 0; +} diff --git a/tests/cpp/log_benchmark/points3d_large_batch.cpp b/tests/cpp/log_benchmark/points3d_large_batch.cpp new file mode 100644 index 000000000000..777267716552 --- /dev/null +++ b/tests/cpp/log_benchmark/points3d_large_batch.cpp @@ -0,0 +1,29 @@ +#include + +#include "benchmarks.hpp" +#include "points3d_shared.hpp" +#include "profile_scope.hpp" + +#include + +constexpr int64_t NUM_POINTS = 50000000; + +static void execute(Point3DInput input) { + PROFILE_FUNCTION(); + + rerun::RecordingStream rec("rerun_example_benchmark_points3d_large_batch"); + + rec.log( + "large_batch", + rerun::Points3D(input.positions) + .with_colors(input.colors) + .with_radii(input.radii) + .with_labels({input.label}) + ); +} + +void run_points3d_large_batch() { + PROFILE_FUNCTION(); + auto input = prepare_points3d(42, NUM_POINTS); + execute(std::move(input)); +} diff --git a/tests/cpp/log_benchmark/points3d_many_individual.cpp b/tests/cpp/log_benchmark/points3d_many_individual.cpp new file mode 100644 index 000000000000..8070789c71e8 --- /dev/null +++ b/tests/cpp/log_benchmark/points3d_many_individual.cpp @@ -0,0 +1,31 @@ +#include + +#include "benchmarks.hpp" +#include "points3d_shared.hpp" +#include "profile_scope.hpp" + +#include + +constexpr int64_t NUM_POINTS = 1000000; + +static void execute(Point3DInput input) { + PROFILE_FUNCTION(); + + rerun::RecordingStream rec("rerun_example_benchmark_points3d_many_individual"); + + for (size_t i = 0; i < NUM_POINTS; ++i) { + rec.set_time_sequence("my_timeline", static_cast(i)); + rec.log( + "large_batch", + rerun::Points3D(input.positions[i]) + .with_colors({input.colors[i]}) + .with_radii({input.radii[i]}) + ); + } +} + +void run_points3d_many_individual() { + PROFILE_FUNCTION(); + auto input = prepare_points3d(1337, NUM_POINTS); + execute(std::move(input)); +} diff --git a/tests/cpp/log_benchmark/points3d_shared.hpp b/tests/cpp/log_benchmark/points3d_shared.hpp new file mode 100644 index 000000000000..1c75e62ef0b7 --- /dev/null +++ b/tests/cpp/log_benchmark/points3d_shared.hpp @@ -0,0 +1,81 @@ +#pragma once + +#include +#include +#include +#include "benchmarks.hpp" +#include "profile_scope.hpp" + +#include + +struct MyPoint3D { + float x, y, z; +}; + +struct Point3DInput { + std::vector positions; + std::vector colors; + std::vector radii; + std::string label; + + Point3DInput() = default; + Point3DInput(Point3DInput&&) = default; +}; + +inline Point3DInput prepare_points3d(int64_t lcg_state, size_t num_points) { + PROFILE_FUNCTION(); + + Point3DInput input; + input.positions.resize(num_points); + for (auto& pos : input.positions) { + pos.x = static_cast(lcg(lcg_state)); + pos.y = static_cast(lcg(lcg_state)); + pos.z = static_cast(lcg(lcg_state)); + } + input.colors.resize(num_points); + for (auto& color : input.colors) { + color = static_cast(lcg(lcg_state)); + } + input.radii.resize(num_points); + for (auto& radius : input.radii) { + radius = static_cast(lcg(lcg_state)); + } + input.label = "some label"; + + return input; +} + +// TODO(andreas): We want this adapter in rerun, ideally in a generated manner. +// Can we do something like a `binary compatible` attribute on fbs that will generate this as well as ctors? +template <> +struct rerun::ComponentBatchAdapter> { + ComponentBatch operator()(const std::vector& container) { + return ComponentBatch::borrow(container.data(), container.size()); + } + + ComponentBatch operator()(std::vector&&) { + throw std::runtime_error("Not implemented for temporaries"); + } +}; + +template <> +struct rerun::ComponentBatchAdapter> { + ComponentBatch operator()(const std::vector& container) { + return ComponentBatch::borrow(container.data(), container.size()); + } + + ComponentBatch operator()(std::vector&&) { + throw std::runtime_error("Not implemented for temporaries"); + } +}; + +template <> +struct rerun::ComponentBatchAdapter { + ComponentBatch operator()(const MyPoint3D& single) { + return ComponentBatch::borrow(&single, 1); + } + + ComponentBatch operator()(MyPoint3D&&) { + throw std::runtime_error("Not implemented for temporaries"); + } +}; diff --git a/tests/cpp/log_benchmark/profile_scope.cpp b/tests/cpp/log_benchmark/profile_scope.cpp new file mode 100644 index 000000000000..631a95c3ce11 --- /dev/null +++ b/tests/cpp/log_benchmark/profile_scope.cpp @@ -0,0 +1,3 @@ +#include "profile_scope.hpp" + +int ProfileScope::_indentation = 0; diff --git a/tests/cpp/log_benchmark/profile_scope.hpp b/tests/cpp/log_benchmark/profile_scope.hpp new file mode 100644 index 000000000000..1d64fd32e51b --- /dev/null +++ b/tests/cpp/log_benchmark/profile_scope.hpp @@ -0,0 +1,47 @@ +#pragma once + +#include +#include + +/// Simplistic RAII scope for additional profiling. +/// +/// All inlined on purpose. +/// Not threadsafe due to indentation! +class ProfileScope { + public: + // std::source_location would be nice here, but it's not widely enough supported + // ProfileScope(const std::source_location& location = std::source_location::current()) + + ProfileScope(const char* location) + : _start(std::chrono::high_resolution_clock::now()), _location(location) { + print_indent(); + printf("%s start …\n", _location); + ++_indentation; + } + + ~ProfileScope() { + const auto end = std::chrono::high_resolution_clock::now(); + const auto duration = + std::chrono::duration_cast>(end - _start); + --_indentation; + print_indent(); + printf("%s end: %.2fms\n", _location, duration.count()); + } + + private: + static void print_indent() { + for (int i = 0; i < _indentation; ++i) { + printf("--"); + } + if (_indentation > 0) { + printf(" "); + } + } + + std::chrono::high_resolution_clock::time_point _start; + const char* _location; + static int _indentation; +}; + +// Quick and dirty macro to profile a function. +#define PROFILE_FUNCTION() ProfileScope _function_profile_scope(__FUNCTION__) diff --git a/tests/rust/log_benchmark/Cargo.toml b/tests/rust/log_benchmark/Cargo.toml new file mode 100644 index 000000000000..20db3a7854fe --- /dev/null +++ b/tests/rust/log_benchmark/Cargo.toml @@ -0,0 +1,16 @@ +[package] +name = "log_benchmark" +version.workspace = true +edition.workspace = true +rust-version.workspace = true +license.workspace = true +publish = false + +[dependencies] +rerun = { path = "../../../crates/rerun" } +re_tracing = { path = "../../../crates/re_tracing", features = ["server"] } + +anyhow.workspace = true +bytemuck = { workspace = true, features = ["extern_crate_alloc"] } +clap = { workspace = true, features = ["derive"] } +glam.workspace = true diff --git a/tests/rust/log_benchmark/src/image.rs b/tests/rust/log_benchmark/src/image.rs new file mode 100644 index 000000000000..7a1654a63371 --- /dev/null +++ b/tests/rust/log_benchmark/src/image.rs @@ -0,0 +1,71 @@ +use rerun::{ + datatypes::TensorBuffer, + datatypes::{TensorData, TensorDimension}, + external::re_types_core::ArrowBuffer, +}; + +// About 1gb of image data. +const IMAGE_DIMENSION: u64 = 16_384; +const IMAGE_CHANNELS: u64 = 4; + +// How many times we log the image. +// Each time with a single pixel changed. +const NUM_LOG_CALLS: usize = 4; + +fn prepare() -> Vec { + re_tracing::profile_function!(); + + let mut image = Vec::new(); + image.resize( + (IMAGE_DIMENSION * IMAGE_DIMENSION * IMAGE_CHANNELS) as usize, + 0, + ); + + // Skip filling with non-zero values, this adds a bit too much extra overhead. + // image.resize_with( + // (IMAGE_DIMENSION * IMAGE_DIMENSION * IMAGE_CHANNELS) as usize, + // || { + // i += 1; + // i as u8 + // }, + // ); + + image +} + +fn execute(mut raw_image_data: Vec) -> anyhow::Result<()> { + re_tracing::profile_function!(); + + let (rec, _storage) = + rerun::RecordingStreamBuilder::new("rerun_example_benchmark_").memory()?; + + for i in 0..NUM_LOG_CALLS { + raw_image_data[i] += 1; + + rec.log( + "test_image", + // TODO(andreas): We should have a more ergonomic way to create images from raw bytes! + &rerun::Image::new(TensorData::new( + vec![ + TensorDimension::width(IMAGE_DIMENSION), + TensorDimension::height(IMAGE_DIMENSION), + TensorDimension::depth(IMAGE_CHANNELS), + ], + // TODO(andreas): We have to copy the image every time since the tensor buffer wants to + // take ownership of it. + // Note that even though our example here is *very* contrived, it's likely that a user + // will want to keep their image, so this copy is definitely part of our API overhead! + TensorBuffer::U8(ArrowBuffer::from(raw_image_data.clone())), + )), + )?; + } + + Ok(()) +} + +/// Log a single large image. +pub fn run() -> anyhow::Result<()> { + re_tracing::profile_function!(); + let input = std::hint::black_box(prepare()); + execute(input) +} diff --git a/tests/rust/log_benchmark/src/main.rs b/tests/rust/log_benchmark/src/main.rs new file mode 100644 index 000000000000..4322aa0fd40d --- /dev/null +++ b/tests/rust/log_benchmark/src/main.rs @@ -0,0 +1,103 @@ +//! Simple benchmark suite for logging data. +//! The goal is to get an estimate for the entire process of logging data, +//! including serialization and processing by the recording stream. +//! +//! Timings are printed out while running, it's recommended to measure process run time to ensure +//! we account for all startup overheads and have all background threads finish. +//! +//! If not specified otherwise, memory recordings are used. +//! +//! The data we generate for benchmarking should be: +//! * minimal overhead to generate +//! * not homogeneous (arrow, ourselves, or even the compiler might exploit this) +//! * not trivially optimized out +//! * not random between runs +//! +//! Run all benchmarks: +//! ``` +//! cargo run -p log_benchmark --release +//! ``` +//! +//! Run specific benchmark: +//! ``` +//! cargo run -p log_benchmark --release -- --benchmarks points3d_large_batch +//! ``` +//! +//! For better whole-executable timing capture you can also first build the executable and then run: +//! ``` +//! cargo build -p log_benchmark --release +//! ./target/release/log_benchmark +//! ``` +//! + +use clap::{Parser as _, ValueEnum as _}; + +mod image; +mod points3d_large_batch; +mod points3d_many_individual; +mod points3d_shared; + +// --- + +/// Very simple linear congruency "random" number generator to spread out values a bit. +pub fn lcg(lcg_state: &mut i64) -> i64 { + *lcg_state = (1140671485_i64 + .wrapping_mul(*lcg_state) + .wrapping_add(128201163)) + % 16777216; + *lcg_state +} +// --- + +#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash, clap::ValueEnum)] +enum Benchmark { + #[value(name("points3d_large_batch"))] + Points3DLargeBatch, + + #[value(name("points3d_many_individual"))] + Points3DManyIndividual, + + #[value(name("image"))] + Image, +} + +#[derive(Debug, clap::Parser)] +#[clap(author, version, about)] +struct Args { + /// Which test should we run? All of them by default. + #[clap(long, value_enum)] + benchmarks: Option>, + + /// If enabled, brings up the puffin profiler on startup. + #[clap(long, default_value = "false")] + profile: bool, +} + +fn main() -> anyhow::Result<()> { + #[cfg(debug_assertions)] + println!("WARNING: Debug build, timings will be inaccurate!"); + + let args = Args::parse(); + + let mut profiler = re_tracing::Profiler::default(); + if args.profile { + profiler.start(); + } + + let benchmarks: Vec = args.benchmarks.as_ref().map_or_else( + || Benchmark::value_variants().to_vec(), + |benchmarks| benchmarks.clone(), + ); + + for benchmark in benchmarks { + println!("Running benchmark: {benchmark:?}"); + + match benchmark { + Benchmark::Points3DLargeBatch => points3d_large_batch::run()?, + Benchmark::Points3DManyIndividual => points3d_many_individual::run()?, + Benchmark::Image => image::run()?, + } + } + + Ok(()) +} diff --git a/tests/rust/log_benchmark/src/points3d_large_batch.rs b/tests/rust/log_benchmark/src/points3d_large_batch.rs new file mode 100644 index 000000000000..ccdc84f1cfbf --- /dev/null +++ b/tests/rust/log_benchmark/src/points3d_large_batch.rs @@ -0,0 +1,33 @@ +use crate::points3d_shared::{prepare_points3d, Point3DInput}; + +const NUM_POINTS: usize = 50_000_000; + +fn execute(input: Point3DInput) -> anyhow::Result<()> { + re_tracing::profile_function!(); + + let Point3DInput { + positions, + colors, + radii, + label, + } = input; + + let (rec, _storage) = + rerun::RecordingStreamBuilder::new("rerun_example_benchmark_points3d_large_batch") + .memory()?; + rec.log( + "large_batch", + &rerun::Points3D::new(positions) + .with_colors(colors) + .with_radii(radii) + .with_labels([label]), + )?; + Ok(()) +} + +/// Log a single large batch of points with positions, colors, radii and a splatted string. +pub fn run() -> anyhow::Result<()> { + re_tracing::profile_function!(); + let input = std::hint::black_box(prepare_points3d(42, NUM_POINTS)); + execute(input) +} diff --git a/tests/rust/log_benchmark/src/points3d_many_individual.rs b/tests/rust/log_benchmark/src/points3d_many_individual.rs new file mode 100644 index 000000000000..597c3adeb17e --- /dev/null +++ b/tests/rust/log_benchmark/src/points3d_many_individual.rs @@ -0,0 +1,36 @@ +use crate::points3d_shared::{prepare_points3d, Point3DInput}; + +const NUM_POINTS: usize = 1_000_000; + +fn execute(input: Point3DInput) -> anyhow::Result<()> { + re_tracing::profile_function!(); + + let Point3DInput { + positions, + colors, + radii, + label: _, + } = input; + + let (rec, _storage) = + rerun::RecordingStreamBuilder::new("rerun_example_benchmark_points3d_many_individual") + .memory()?; + + for i in 0..NUM_POINTS { + rec.set_time_sequence("my_timeline", i as i64); + rec.log( + "single_point", + &rerun::Points3D::new([positions[i]]) + .with_colors([colors[i]]) + .with_radii([radii[i]]), + )?; + } + Ok(()) +} + +/// Log many individual points (position, color, radius), each with a different timestamp. +pub fn run() -> anyhow::Result<()> { + re_tracing::profile_function!(); + let input = std::hint::black_box(prepare_points3d(1337, NUM_POINTS)); + execute(input) +} diff --git a/tests/rust/log_benchmark/src/points3d_shared.rs b/tests/rust/log_benchmark/src/points3d_shared.rs new file mode 100644 index 000000000000..720db0ee08d3 --- /dev/null +++ b/tests/rust/log_benchmark/src/points3d_shared.rs @@ -0,0 +1,33 @@ +use crate::lcg; + +/// Batch that should be logged. +/// Intentionally not using `rerun::Points3D` here already. +pub struct Point3DInput { + pub positions: Vec, + pub colors: Vec, + pub radii: Vec, + pub label: String, +} + +pub fn prepare_points3d(mut lcg_state: i64, num_points: usize) -> Point3DInput { + re_tracing::profile_function!(); + + Point3DInput { + positions: (0..num_points) + .map(|_| { + glam::vec3( + lcg(&mut lcg_state) as f32, + lcg(&mut lcg_state) as f32, + lcg(&mut lcg_state) as f32, + ) + }) + .collect(), + colors: (0..num_points) + .map(|_| lcg(&mut lcg_state) as u32) + .collect(), + radii: (0..num_points) + .map(|_| lcg(&mut lcg_state) as f32) + .collect(), + label: "some label".to_owned(), + } +}