diff options
Diffstat (limited to 'tests/codegen-llvm/simd/simd-wide-sum.rs')
| -rw-r--r-- | tests/codegen-llvm/simd/simd-wide-sum.rs | 59 |
1 files changed, 59 insertions, 0 deletions
diff --git a/tests/codegen-llvm/simd/simd-wide-sum.rs b/tests/codegen-llvm/simd/simd-wide-sum.rs new file mode 100644 index 00000000000..95117b2c748 --- /dev/null +++ b/tests/codegen-llvm/simd/simd-wide-sum.rs @@ -0,0 +1,59 @@ +//@ revisions: llvm mir-opt3 +//@ compile-flags: -C opt-level=3 -Z merge-functions=disabled +//@ edition: 2021 +//@ only-x86_64 +//@ [mir-opt3]compile-flags: -Zmir-opt-level=3 +//@ [mir-opt3]build-pass + +// mir-opt3 is a regression test for https://github.com/rust-lang/rust/issues/98016 + +#![crate_type = "lib"] +#![feature(portable_simd)] + +use std::simd::prelude::*; +const N: usize = 16; + +#[no_mangle] +// CHECK-LABEL: @wider_reduce_simd +pub fn wider_reduce_simd(x: Simd<u8, N>) -> u16 { + // 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<u16, N> = x.cast(); + x.reduce_sum() +} + +#[no_mangle] +// CHECK-LABEL: @wider_reduce_loop +pub fn wider_reduce_loop(x: Simd<u8, N>) -> u16 { + // 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]); + } + sum +} + +#[no_mangle] +// CHECK-LABEL: @wider_reduce_iter +pub fn wider_reduce_iter(x: Simd<u8, N>) -> u16 { + // 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() +} + +// This iterator one is the most interesting, as it's the one +// which used to not auto-vectorize due to a suboptimality in the +// `<array::IntoIter as Iterator>::fold` implementation. + +#[no_mangle] +// CHECK-LABEL: @wider_reduce_into_iter +pub fn wider_reduce_into_iter(x: Simd<u8, N>) -> u16 { + // CHECK: zext <16 x i8> + // CHECK-SAME: to <16 x i16> + // CHECK: call i16 @llvm.vector.reduce.add.v16i16(<16 x i16> + x.to_array().into_iter().map(u16::from).sum() +} |
