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## New Solver * 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 reports 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 used-defined type functions not being able to call each other * Infer types of globals under new type solver ## Fragment Autocomplete * Miscellaneous fixes to make interop with the old solver better ## Runtime * Support disabling specific built-in functions from being fast-called or constant-evaluated (Closes #1538) * New compiler option `disabledBuiltins` accepts a list of library function names like "tonumber" or "math.cos" * Added constant folding for vector arithmetic * Added constant propagation and type inference for vector globals (Fixes #1511) * New compiler option `librariesWithKnownMembers` accepts a list of libraries for members of which a request for constant value and/or type will be made * `libraryMemberTypeCb` callback is called to get the type of a global, return one of the `LuauBytecodeType` values. 'boolean', 'number', 'string' and 'vector' type are supported. * `libraryMemberConstantCb` callback is called to setup the constant value of a global. To set a value, C API `luau_set_compile_constant_*` or C++ API `setCompileConstant*` functions should be used. --- 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> --------- Co-authored-by: Aaron Weiss <aaronweiss@roblox.com> Co-authored-by: Alexander McCord <amccord@roblox.com> Co-authored-by: Andy Friesen <afriesen@roblox.com> Co-authored-by: Aviral Goel <agoel@roblox.com> Co-authored-by: David Cope <dcope@roblox.com> Co-authored-by: Lily Brown <lbrown@roblox.com> Co-authored-by: Vyacheslav Egorov <vegorov@roblox.com> Co-authored-by: Junseo Yoo <jyoo@roblox.com> Co-authored-by: Hunter Goldstein <hgoldstein@roblox.com> Co-authored-by: Varun Saini <61795485+vrn-sn@users.noreply.github.com> Co-authored-by: Alexander Youngblood <ayoungblood@roblox.com> Co-authored-by: Varun Saini <vsaini@roblox.com> Co-authored-by: Andrew Miranti <amiranti@roblox.com> Co-authored-by: Shiqi Ai <sai@roblox.com> Co-authored-by: Yohoo Lin <yohoo@roblox.com> Co-authored-by: Daniel Angel <danielangel@roblox.com> Co-authored-by: Jonathan Kelaty <jkelaty@roblox.com>
40 lines
1 KiB
Lua
40 lines
1 KiB
Lua
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)
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local shapeRows = #matrix1
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local shapeColumns = #matrix2[1]
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local result = table.create(shapeRows)
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for i = 1, shapeRows do
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result[i] = table.create(shapeColumns)
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for j = 1, shapeColumns do
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local sum = 0
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for k = 1, shapeColumns do
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sum = sum + matrix1[i][k] * matrix2[k][j]
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end
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result[i][j] = sum
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end
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end
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return result
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end
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function test()
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local n = 100
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local mat = table.create(n)
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for i = 1, n do
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local t = table.create(n)
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for k = 1, n do
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t[k] = math.random()
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end
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mat[i] = t
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end
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local startTime = os.clock()
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local result = mmul(mat, mat)
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return os.clock() - startTime
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end
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bench.runCode(test, "matrixmult")
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