luau/bench/tests/matrixmult.lua

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Sync to upstream/release/655 * General - Fix the benchmark require wrapper function to work in Lua - Fix memory leak in the new Luau C API test * New Solver - Luau: type functions should be able to signal whether or not irreducibility is due to an error - Do not generate extra expansion constraint for uninvoked user-defined type functions - Print in a user-defined type function should be reported as an error instead of logging to stdout - Many e-graphs bugfixes and performance improvements - Many general bugfixes and improvements to the new solver as a whole - Fixed issue with Luau used-defined type functions not having all environments initialized - Infer types of globals under new type solver * Fragment Autocomplete - Miscellaneous fixes to make interop with the old solver better * Runtime - Support disabling specific Luau built-in functions from being fast-called or constant-evaluated - Added constant folding for vector arithmetic - Added constant propagation and type inference for Vector3 globals ---------------------------------------------------------- 9 contributors: Co-authored-by: Aaron Weiss <aaronweiss@roblox.com> Co-authored-by: Andy Friesen <afriesen@roblox.com> Co-authored-by: Aviral Goel <agoel@roblox.com> Co-authored-by: Daniel Angel <danielangel@roblox.com> Co-authored-by: Jonathan Kelaty <jkelaty@roblox.com> Co-authored-by: Hunter Goldstein <hgoldstein@roblox.com> Co-authored-by: Varun Saini <vsaini@roblox.com> Co-authored-by: Vighnesh Vijay <vvijay@roblox.com> Co-authored-by: Vyacheslav Egorov <vegorov@roblox.com>
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local function prequire(name) local success, result = pcall(require, name); return success and result end
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local bench = script and require(script.Parent.bench_support) or prequire("bench_support") or require("../bench_support")
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local function mmul(matrix1, matrix2)
local shapeRows = #matrix1
local shapeColumns = #matrix2[1]
local result = table.create(shapeRows)
for i = 1, shapeRows do
result[i] = table.create(shapeColumns)
for j = 1, shapeColumns do
local sum = 0
for k = 1, shapeColumns do
sum = sum + matrix1[i][k] * matrix2[k][j]
end
result[i][j] = sum
end
end
return result
end
function test()
local n = 100
local mat = table.create(n)
for i = 1, n do
local t = table.create(n)
for k = 1, n do
t[k] = math.random()
end
mat[i] = t
end
local startTime = os.clock()
local result = mmul(mat, mat)
return os.clock() - startTime
end
bench.runCode(test, "matrixmult")