diff --git a/tests/codegen/simd/simd-wide-sum.rs b/tests/codegen/simd/simd-wide-sum.rs index 3116f9597bc..6e7d3d9316a 100644 --- a/tests/codegen/simd/simd-wide-sum.rs +++ b/tests/codegen/simd/simd-wide-sum.rs @@ -11,14 +11,14 @@ #![feature(portable_simd)] use std::simd::{Simd, SimdUint}; -const N: usize = 8; +const N: usize = 16; #[no_mangle] // CHECK-LABEL: @wider_reduce_simd pub fn wider_reduce_simd(x: Simd) -> u16 { - // CHECK: zext <8 x i8> - // CHECK-SAME: to <8 x i16> - // CHECK: call i16 @llvm.vector.reduce.add.v8i16(<8 x i16> + // CHECK: zext <16 x i8> + // CHECK-SAME: to <16 x i16> + // CHECK: call i16 @llvm.vector.reduce.add.v16i16(<16 x i16> let x: Simd = x.cast(); x.reduce_sum() } @@ -26,9 +26,9 @@ pub fn wider_reduce_simd(x: Simd) -> u16 { #[no_mangle] // CHECK-LABEL: @wider_reduce_loop pub fn wider_reduce_loop(x: Simd) -> u16 { - // CHECK: zext <8 x i8> - // CHECK-SAME: to <8 x i16> - // CHECK: call i16 @llvm.vector.reduce.add.v8i16(<8 x i16> + // CHECK: zext <16 x i8> + // CHECK-SAME: to <16 x i16> + // CHECK: call i16 @llvm.vector.reduce.add.v16i16(<16 x i16> let mut sum = 0_u16; for i in 0..N { sum += u16::from(x[i]); @@ -39,9 +39,9 @@ pub fn wider_reduce_loop(x: Simd) -> u16 { #[no_mangle] // CHECK-LABEL: @wider_reduce_iter pub fn wider_reduce_iter(x: Simd) -> u16 { - // CHECK: zext <8 x i8> - // CHECK-SAME: to <8 x i16> - // CHECK: call i16 @llvm.vector.reduce.add.v8i16(<8 x i16> + // CHECK: zext <16 x i8> + // CHECK-SAME: to <16 x i16> + // CHECK: call i16 @llvm.vector.reduce.add.v16i16(<16 x i16> x.as_array().iter().copied().map(u16::from).sum() } @@ -52,8 +52,8 @@ pub fn wider_reduce_iter(x: Simd) -> u16 { #[no_mangle] // CHECK-LABEL: @wider_reduce_into_iter pub fn wider_reduce_into_iter(x: Simd) -> u16 { - // CHECK: zext <8 x i8> - // CHECK-SAME: to <8 x i16> - // CHECK: call i16 @llvm.vector.reduce.add.v8i16(<8 x i16> + // FIXME: It would be nice if this was exactly the same as the above tests, + // but at the time of writing this comment, that didn't happen on LLVM main. + // CHECK: call i16 @llvm.vector.reduce.add x.to_array().into_iter().map(u16::from).sum() }