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@turbo
automatically with can_avx
; if failure…
…, switch to `@inbounds @fastmath` (#431) * Create `safe` kwarg for `@turbo` macro Currently, this macro does nothing. * Run `can_avx` on each operator when checking loopset * Refactor `can_avx` test * Add test for `safe=true` option in `@turbo` * Remove debugging statement * Clean up preamble generation * Set `safe=false` for `@turbo` by default * Switch to more generic `can_turbo` function for safe `@turbo` * Remove `@turbo safe=true` tests from `can_avx.jl` * Create file to test `@turbo safe=true` and `can_turbo` * Compute `nargs` of instruction properly * Add missing `safe` kwarg in `vmaterialize!` * Also unpack `warncheckarg` and `safe` from UNROLL * Ensure warncheckarg and safe passed everywhere for consistency * Consistency in `UNROLL` name * Add packages required for testing to `[extras]` and `[targets]` * Add `safe` and `warncheckarg` throughout library * Remove edits to Project * Add missing imports in save `@turbo` tests * Fix call to `can_avx` * Remove nested `testset` Seems to be breaking imports. * Test that `can_avx` validates `exp` by itself * Add SpecialFunctions.jl to test * Clean up test set * Ping test * Ensure that function names in safe test are unique * Add `RetVec2Int` for julia <1.6 as `Returns()` Co-authored-by: Chris Elrod <elrodc@gmail.com> * Use `RetVec2Int()` instead of `Returns(Vec{2,Int})` Co-authored-by: Chris Elrod <elrodc@gmail.com> * push functions into prepre Co-authored-by: Chris Elrod <elrodc@gmail.com>
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@JuliaRegistrator register
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Registration pull request created: JuliaRegistries/General/69084
After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.
This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via: