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test/fastmath.jl
388 строк
14 KB
Ian Butterworth
math: fix exp_impl_fast Float64 nothrow inference (#61615)
21 апр 2026, 03:24
Не верифицирован
21 апр 2026, 03:24
b22e053
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# This file is a part of Julia. License is MIT: https://julialang.org/license using InteractiveUtils: code_llvm # fast math @testset "check fast present in LLVM" begin for T in (Float16, Float32, Float64, ComplexF32, ComplexF64) f(x) = @fastmath x + x + x llvm = sprint(code_llvm, f, (T,)) @test occursin("fast", llvm) g(x) = @fastmath x * x * x llvm = sprint(code_llvm, g, (T,)) @test occursin("fast", llvm) end for T in (Float16, Float32, Float64) f(x, y, z) = @fastmath min(x, y, z) llvm = sprint(code_llvm, f, (T,T,T)) @test occursin("fast", llvm) g(x, y, z) = @fastmath max(x, y, z) llvm = sprint(code_llvm, g, (T,T,T)) @test occursin("fast", llvm) end end @testset "check expansions" begin @test macroexpand(Main, :(@fastmath 1+2)) == :(Base.FastMath.add_fast(1,2)) @test macroexpand(Main, :(@fastmath +)) == :(Base.FastMath.add_fast) @test macroexpand(Main, :(@fastmath min(1))) == :(Base.FastMath.min_fast(1)) @test macroexpand(Main, :(@fastmath min)) == :(Base.FastMath.min_fast) @test macroexpand(Main, :(@fastmath x.min)) == :(x.min) @test macroexpand(Main, :(@fastmath sincos(x))) == :(Base.FastMath.sincos_fast(x)) end const one32 = one(Float32) const eps32 = eps(Float32) const eps32_2 = eps32/2 # Note: Cannot use local functions since these are not yet optimized fm_ieee_32(x) = x + eps32_2 + eps32_2 fm_fast_32(x) = @fastmath x + eps32_2 + eps32_2 const one64 = one(Float64) const eps64 = eps(Float64) const eps64_2 = eps64/2 # Note: Cannot use local functions since these are not yet optimized fm_ieee_64(x) = x + eps64_2 + eps64_2 fm_fast_64(x) = @fastmath x + eps64_2 + eps64_2 fm_ieee_64_upd(x) = (r=x; r+=eps64_2; r+=eps64_2) fm_fast_64_upd(x) = @fastmath (r=x; r+=eps64_2; r+=eps64_2) @testset "basic arithmetic" begin @test fm_ieee_32(one32) == one32 @test (fm_fast_32(one32) == one32 || fm_fast_32(one32) == one32 + eps32 > one32) @test fm_ieee_64(one64) == one64 @test (fm_fast_64(one64) == one64 || fm_fast_64(one64) == one64 + eps64 > one64) # check updating operators @test fm_ieee_64_upd(one64) == one64 @test (fm_fast_64_upd(one64) == one64 || fm_fast_64_upd(one64) == one64 + eps64 > one64) let epsf = 1.0f0/2^15, one_epsf = 1+epsf @test @fastmath(one_epsf * one_epsf - 1) ≈ Float32(65537/1073741824) end let eps = 1.0/2^30, one_eps = 1+eps @test @fastmath(one_eps * one_eps - 1) ≈ 2147483649/1152921504606846976 end for T in (Float32, Float64, BigFloat) zero = convert(T, 0) one = convert(T, 1) + eps(T) two = convert(T, 2) + 1//10 three = convert(T, 3) + 1//100 @test @fastmath(+two) ≈ +two @test @fastmath(-two) ≈ -two @test @fastmath(zero+one+two) ≈ zero+one+two @test @fastmath(zero-one-two) ≈ zero-one-two @test @fastmath(one*two*three) ≈ one*two*three @test @fastmath(one/two/three) ≈ one/two/three @test @fastmath(rem(two,three)) ≈ rem(two,three) @test @fastmath(mod(two,three)) ≈ mod(two,three) @test @fastmath(cmp(two,two)) == cmp(two,two) @test @fastmath(cmp(two,three)) == cmp(two,three) @test @fastmath(cmp(three,two)) == cmp(three,two) for x in (zero, two, convert(T, Inf), convert(T, NaN)) @test @fastmath(isfinite(x)) @test !@fastmath(isinf(x)) @test !@fastmath(isnan(x)) @test !@fastmath(issubnormal(x)) end end for T in (ComplexF32, ComplexF64, Complex{BigFloat}) zero = convert(T,0) one = convert(T,1) + im*eps(real(convert(T,1))) two = convert(T,2) + im//10 three = convert(T,3) + im//100 @test @fastmath(+two) ≈ +two @test @fastmath(-two) ≈ -two @test @fastmath(zero+one+two) ≈ zero+one+two @test @fastmath(zero-one-two) ≈ zero-one-two @test @fastmath(one*two*three) ≈ one*two*three @test @fastmath(one/two/three) ≈ one/two/three @test @fastmath(three == two) == (three == two) @test @fastmath(three != two) == (three != two) @test isnan(@fastmath(one/zero)) # must not throw @test isnan(@fastmath(-one/zero)) # must not throw @test isnan(@fastmath(zero/zero)) # must not throw for x in (zero, two, convert(T, Inf), convert(T, NaN)) @test @fastmath(isfinite(x)) @test !@fastmath(isinf(x)) @test !@fastmath(isnan(x)) @test !@fastmath(issubnormal(x)) end end end # math functions @testset "real arithmetic" begin for T in (Float16, Float32, Float64, BigFloat) half = 1/convert(T,2) third = 1/convert(T,3) for f in (:+, :-, :abs, :abs2, :conj, :inv, :sign, :acos, :asin, :asinh, :atan, :atanh, :cbrt, :cos, :cosh, :exp10, :exp2, :exp, :log10, :log1p, :log2, :log, :sin, :sinh, :sqrt, :tan, :tanh, :min, :max) @eval begin @test @fastmath($f($half)) ≈ $f($half) @test @fastmath($f($third)) ≈ $f($third) end end if T != Float16 for f in (:expm1,) @eval begin @test @fastmath($f($half)) ≈ $f($half) @test @fastmath($f($third)) ≈ $f($third) end end end for f in (:acosh,) @eval begin @test @fastmath($f(1+$half)) ≈ $f(1+$half) @test @fastmath($f(1+$third)) ≈ $f(1+$third) end end for f in (:sincos,) @eval begin @test all(@fastmath($f($half)) .≈ $f($half)) @test all(@fastmath($f($third)) .≈ $f($third)) end end for f in (:+, :-, :*, :/, :%, :(==), :!=, :<, :<=, :>, :>=, :^, :atan, :hypot, :max, :min, :log) @eval begin @test @fastmath($f($half, $third)) ≈ $f($half, $third) @test @fastmath($f($third, $half)) ≈ $f($third, $half) end end # issue 31795 for f in (:min, :max) @eval begin @test @fastmath($f($half, $third, 1+$half)) ≈ $f($half, $third, 1+$half) end end for f in (:minmax,) @eval begin @test @fastmath($f($half, $third)[1]) ≈ $f($half, $third)[1] @test @fastmath($f($half, $third)[2]) ≈ $f($half, $third)[2] @test @fastmath($f($third, $half)[1]) ≈ $f($third, $half)[1] @test @fastmath($f($third, $half)[2]) ≈ $f($third, $half)[2] end end end end @testset "complex arithmetic" begin for T in (ComplexF32, ComplexF64, Complex{BigFloat}) half = (1+1im)/T(2) third = (1-1im)/T(3) # some of these functions promote their result to double # precision, but we want to check equality at precision T rtol = Base.rtoldefault(real(T)) for f in (:+, :-, :abs, :abs2, :conj, :inv, :sign, :acos, :acosh, :asin, :asinh, :atan, :atanh, :cis, :cos, :cosh, :exp10, :exp2, :exp, :expm1, :log10, :log1p, :log2, :log, :sin, :sinh, :sqrt, :tan, :tanh) @eval begin @test @fastmath($f($half)) ≈ $f($half) rtol=$rtol @test @fastmath($f($third)) ≈ $f($third) rtol=$rtol end end for f in (:+, :-, :*, :/, :(==), :!=, :^, :log) @eval begin @test @fastmath($f($half, $third)) ≈ $f($half, $third) rtol=$rtol @test @fastmath($f($third, $half)) ≈ $f($third, $half) rtol=$rtol end end end end @testset "mixed real/complex arithmetic" begin for T in (Float32, Float64, BigFloat) CT = Complex{T} half = 1/T(2) third = 1/T(3) chalf = (1+1im)/CT(2) cthird = (1-1im)/CT(3) for f in (:+, :-, :*, :/, :(==), :!=, :^, :log) @eval begin @test @fastmath($f($chalf, $third)) ≈ $f($chalf, $third) @test @fastmath($f($half, $cthird)) ≈ $f($half, $cthird) @test @fastmath($f($cthird, $half)) ≈ $f($cthird, $half) @test @fastmath($f($third, $chalf)) ≈ $f($third, $chalf) end end @test @fastmath(third^3) ≈ third^3 @test @fastmath(chalf/third) ≈ chalf/third @test @fastmath(chalf^3) ≈ chalf^3 @test @fastmath(cis(third)) ≈ cis(third) end end @testset "reductions" begin @test @fastmath(maximum([1,2,3])) == 3 @test @fastmath(minimum([1,2,3])) == 1 @test @fastmath(maximum(abs2, [1,2,3+0im])) == 9 @test @fastmath(minimum(sqrt, [1,2,3])) == 1 @test @fastmath(maximum(Float32[4 5 6; 7 8 9])) == 9.0f0 @test @fastmath(minimum(Float32[4 5 6; 7 8 9])) == 4.0f0 @test @fastmath(maximum(Float32[4 5 6; 7 8 9]; dims=1)) == Float32[7.0 8.0 9.0] @test @fastmath(minimum(Float32[4 5 6; 7 8 9]; dims=2)) == Float32[4.0; 7.0;;] @test @fastmath(maximum(abs, [4+im -5 6-im; -7 8 -9]; dims=1)) == [7.0 8.0 9.0] @test @fastmath(minimum(cbrt, [4 -5 6; -7 8 -9]; dims=2)) == cbrt.([-5; -9;;]) x = randn(3,4,5) x1 = sum(x; dims=1) x23 = sum(x; dims=(2,3)) @test @fastmath(maximum!(x1, x)) ≈ maximum(x; dims=1) @test x1 ≈ maximum(x; dims=1) @test @fastmath(minimum!(x23, x)) ≈ minimum(x; dims=(2,3)) @test x23 ≈ minimum(x; dims=(2,3)) @test @fastmath(maximum!(abs, x23, x .+ im)) ≈ maximum(abs, x .+ im; dims=(2,3)) @test @fastmath(minimum!(abs2, x1, x .+ im)) ≈ minimum(abs2, x .+ im; dims=1) end @testset "issue #10544" begin a = fill(1.,2,2) b = fill(1.,2,2) @test @fastmath(a[1] += 2.0) ≈ (b[1] += 2.0) @test @fastmath(a[2] -= 2.0) ≈ (b[2] -= 2.0) @test @fastmath(a[1,1] *= 2.0) ≈ (b[1,1] *= 2.0) @test @fastmath(a[2,2] /= 2.0) ≈ (b[2,2] /= 2.0) @test @fastmath(a[1,2] ^= 2.0) ≈ (b[1,2] ^= 2.0) # test fallthrough for unsupported ops local c = 0 @test @fastmath(c |= 1) == 1 end @testset "issue #23218" begin a = zeros(1) b = [1.0] idx = (1,) @fastmath a[idx...] += b[idx...] @test a == b end @testset "literal powers" begin @test @fastmath(2^-2) == @fastmath(2.0^-2) == 0.25 # Issue #53817 # Note that exponent -2^63 fails testing because of issue #53881 # Therefore we test with -(2^63-1). For Int == Int32 there is an analogue restriction. # See also PR #53860. if Int == Int64 @test @fastmath(2^-9223372036854775807) === 0.0 @test_throws DomainError @fastmath(2^-9223372036854775809) @test @fastmath(1^-9223372036854775807) isa Float64 @test @fastmath(1^-9223372036854775809) isa Int elseif Int == Int32 @test @fastmath(2^-2147483647) === 0.0 @test_throws DomainError @fastmath(2^-2147483649) @test @fastmath(1^-2147483647) isa Float64 @test @fastmath(1^-2147483649) isa Int end @test_throws MethodError @fastmath(^(2)) end # issue #53857 @testset "fast_pow" begin n = Int64(2)^52 @test @fastmath (1 + 1 / n) ^ n ≈ ℯ @test @fastmath (1 + 1 / n) ^ 4503599627370496 ≈ ℯ end # Test that x^2 is inlined to fmul for all float types (issue #60639) @testset "pow_fast inlining for literal powers" begin for T in (Float16, Float32, Float64) f(x) = @fastmath x^2 llvm = sprint(code_llvm, f, (T,)) # Should be inlined to fmul, not call power_by_squaring @test occursin("fmul", llvm) @test !occursin("power_by_squaring", llvm) end end # Test correctness of pow_fast for Float32/Float16 with various exponents (issue #60639) @testset "pow_fast correctness" begin for T in (Float16, Float32) x = T(2.5) # Exponents that fit in Int32 @test (@fastmath x^2) ≈ x^2 @test (@fastmath x^10) ≈ x^10 @test (@fastmath x^(-3)) ≈ x^(-3) # Exponents that don't fit in Int32 big_exp = Int64(2)^40 @test (@fastmath x^big_exp) ≈ x^big_exp end end @testset "sincos fall-backs" begin struct FloatWrapper inner::Float64 end Base.sin(outer::FloatWrapper) = sin(outer.inner) Base.cos(outer::FloatWrapper) = cos(outer.inner) for zilch in (FloatWrapper(0.0), 0, 0 + 0 * im) @test (@fastmath sincos(zilch)) == (0, 1) end end @testset "non-numeric fallbacks" begin @test (@fastmath :(:sin)) == :(:sin) @test (@fastmath "a" * "b") == "ab" @test (@fastmath "a" ^ 2) == "aa" end @testset "exp overflow and underflow" begin for T in (Float32,Float64) for func in (@fastmath exp2,exp,exp10) @test func(T(2000)) == T(Inf) @test func(T(-2000)) == T(0) end end end @testset "+= with indexing (#47241)" begin i = 0 x = zeros(2) @fastmath x[i += 1] += 1 @fastmath x[end] += 1 @test x == [1, 1] @test i == 1 end @testset "@fastmath-related crash (#49907)" begin x = @fastmath maximum(Float16[1,2,3]; init = Float16(0)) @test x == Float16(3) end @testset "Test promotion of >=3 arg fastmath" begin # Bug caught in https://github.com/JuliaLang/julia/pull/54513#discussion_r1620553369 x = @fastmath 1. + 1. + 1f0 @test x == 3.0 end # fastmath functions that are nothrow should be removable if unused @testset "fastmath functions are removable if unused" begin for T in (Float32, Float64) for f in (Base.FastMath.exp_fast, Base.FastMath.exp2_fast, Base.FastMath.exp10_fast, Base.FastMath.expm1_fast, Base.FastMath.abs_fast, Base.FastMath.atan_fast, Base.FastMath.sinh_fast, Base.FastMath.cosh_fast, Base.FastMath.tanh_fast, Base.FastMath.cbrt_fast, Base.FastMath.inv_fast, Base.FastMath.sqrt_fast) @test Core.Compiler.is_removable_if_unused(Base.infer_effects(f, (T,))) end end end