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44 lines
1.9 KiB
44 lines
1.9 KiB
package("simsimd") |
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set_kind("library", {headeronly = true}) |
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set_homepage("https://ashvardanian.com/posts/simsimd-faster-scipy/") |
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set_description("Vector Similarity Functions 3x-200x Faster than SciPy and NumPy") |
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set_license("Apache-2.0") |
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add_urls("https://github.com/ashvardanian/SimSIMD/archive/refs/tags/$(version).tar.gz", |
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"https://github.com/ashvardanian/SimSIMD.git") |
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add_versions("v5.4.4", "bf48d4772e82efdecd3acdc88431ea03b6110754ac263be338fd3ceb172998d2") |
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add_versions("v4.3.2", "0732603a0680a4b9c70abe0b59de011447ad7db0e0631c2f7c307c0135aa4d43") |
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add_versions("v4.3.1", "d3c54c5b27f8bbb161c8523c47ddc98bfeb75cac17066c959f42ebe78c518b0f") |
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add_versions("v3.9.0", "8e79b628ba89beebc7c4c853323db0e10ebb6f85bcda2641e1ebaf77cfbda7f9") |
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if on_check then |
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on_check("android", function (package) |
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assert(package:check_cxxsnippets({test = [[ |
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#include <arm_neon.h> |
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#pragma clang attribute push( \ |
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__attribute__((target("arch=armv8.2-a+dotprod"))), apply_to = function) |
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int32x4_t test_simd() { |
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int32x4_t ab_vec = vdupq_n_s32(0); |
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int8x16_t a_vec = vdupq_n_s8(1); |
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int8x16_t b_vec = vdupq_n_s8(2); |
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return vdotq_s32(ab_vec, a_vec, b_vec); |
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} |
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#pragma clang attribute pop |
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]]}), "package(simsimd) requires a higher version of NDK.") |
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end) |
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end |
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on_install(function (package) |
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os.cp("include", package:installdir()) |
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if not package:has_ctypes("_Float16") then |
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package:add("defines", "SIMSIMD_NATIVE_F16=0") |
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end |
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if not package:has_ctypes("bfloat16_t") then |
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package:add("defines", "SIMSIMD_NATIVE_BF16=0") |
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end |
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end) |
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on_test(function (package) |
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assert(package:has_cincludes("simsimd/simsimd.h")) |
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end)
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