summaryrefslogtreecommitdiffstats
path: root/third_party/highway/hwy/tests/mul_test.cc
diff options
context:
space:
mode:
authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-07 17:32:43 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-07 17:32:43 +0000
commit6bf0a5cb5034a7e684dcc3500e841785237ce2dd (patch)
treea68f146d7fa01f0134297619fbe7e33db084e0aa /third_party/highway/hwy/tests/mul_test.cc
parentInitial commit. (diff)
downloadthunderbird-upstream.tar.xz
thunderbird-upstream.zip
Adding upstream version 1:115.7.0.upstream/1%115.7.0upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'third_party/highway/hwy/tests/mul_test.cc')
-rw-r--r--third_party/highway/hwy/tests/mul_test.cc526
1 files changed, 526 insertions, 0 deletions
diff --git a/third_party/highway/hwy/tests/mul_test.cc b/third_party/highway/hwy/tests/mul_test.cc
new file mode 100644
index 0000000000..5622983cee
--- /dev/null
+++ b/third_party/highway/hwy/tests/mul_test.cc
@@ -0,0 +1,526 @@
+// Copyright 2019 Google LLC
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include <stddef.h>
+#include <stdint.h>
+
+#undef HWY_TARGET_INCLUDE
+#define HWY_TARGET_INCLUDE "tests/mul_test.cc"
+#include "hwy/foreach_target.h" // IWYU pragma: keep
+#include "hwy/highway.h"
+#include "hwy/tests/test_util-inl.h"
+
+HWY_BEFORE_NAMESPACE();
+namespace hwy {
+namespace HWY_NAMESPACE {
+
+template <size_t kBits>
+constexpr uint64_t FirstBits() {
+ return (1ull << kBits) - 1;
+}
+template <>
+constexpr uint64_t FirstBits<64>() {
+ return ~uint64_t{0};
+}
+
+struct TestUnsignedMul {
+ template <typename T, class D>
+ HWY_NOINLINE void operator()(T /*unused*/, D d) {
+ const auto v0 = Zero(d);
+ const auto v1 = Set(d, T(1));
+ const auto vi = Iota(d, 1);
+ const auto vj = Iota(d, 3);
+ const size_t N = Lanes(d);
+ auto expected = AllocateAligned<T>(N);
+
+ HWY_ASSERT_VEC_EQ(d, v0, Mul(v0, v0));
+ HWY_ASSERT_VEC_EQ(d, v1, Mul(v1, v1));
+ HWY_ASSERT_VEC_EQ(d, vi, Mul(v1, vi));
+ HWY_ASSERT_VEC_EQ(d, vi, Mul(vi, v1));
+
+ for (size_t i = 0; i < N; ++i) {
+ expected[i] = static_cast<T>((1 + i) * (1 + i));
+ }
+ HWY_ASSERT_VEC_EQ(d, expected.get(), Mul(vi, vi));
+
+ for (size_t i = 0; i < N; ++i) {
+ expected[i] = static_cast<T>((1 + i) * (3 + i));
+ }
+ HWY_ASSERT_VEC_EQ(d, expected.get(), Mul(vi, vj));
+
+ const T max = LimitsMax<T>();
+ const auto vmax = Set(d, max);
+ HWY_ASSERT_VEC_EQ(d, vmax, Mul(vmax, v1));
+ HWY_ASSERT_VEC_EQ(d, vmax, Mul(v1, vmax));
+
+ constexpr uint64_t kMask = FirstBits<sizeof(T) * 8>();
+ const T max2 = (static_cast<uint64_t>(max) * max) & kMask;
+ HWY_ASSERT_VEC_EQ(d, Set(d, max2), Mul(vmax, vmax));
+ }
+};
+
+struct TestSignedMul {
+ template <typename T, class D>
+ HWY_NOINLINE void operator()(T /*unused*/, D d) {
+ const size_t N = Lanes(d);
+ auto expected = AllocateAligned<T>(N);
+
+ const auto v0 = Zero(d);
+ const auto v1 = Set(d, T(1));
+ const auto vi = Iota(d, 1);
+ const auto vn = Iota(d, -T(N)); // no i8 supported, so no wraparound
+ HWY_ASSERT_VEC_EQ(d, v0, Mul(v0, v0));
+ HWY_ASSERT_VEC_EQ(d, v1, Mul(v1, v1));
+ HWY_ASSERT_VEC_EQ(d, vi, Mul(v1, vi));
+ HWY_ASSERT_VEC_EQ(d, vi, Mul(vi, v1));
+
+ for (size_t i = 0; i < N; ++i) {
+ expected[i] = static_cast<T>((1 + i) * (1 + i));
+ }
+ HWY_ASSERT_VEC_EQ(d, expected.get(), Mul(vi, vi));
+
+ for (size_t i = 0; i < N; ++i) {
+ expected[i] = static_cast<T>((-T(N) + T(i)) * T(1u + i));
+ }
+ HWY_ASSERT_VEC_EQ(d, expected.get(), Mul(vn, vi));
+ HWY_ASSERT_VEC_EQ(d, expected.get(), Mul(vi, vn));
+ }
+};
+
+struct TestMulOverflow {
+ template <typename T, class D>
+ HWY_NOINLINE void operator()(T /*unused*/, D d) {
+ const auto vMax = Set(d, LimitsMax<T>());
+ HWY_ASSERT_VEC_EQ(d, Mul(vMax, vMax), Mul(vMax, vMax));
+ }
+};
+
+struct TestDivOverflow {
+ template <typename T, class D>
+ HWY_NOINLINE void operator()(T /*unused*/, D d) {
+ const auto vZero = Set(d, T(0));
+ const auto v1 = Set(d, T(1));
+ HWY_ASSERT_VEC_EQ(d, Div(v1, vZero), Div(v1, vZero));
+ }
+};
+
+HWY_NOINLINE void TestAllMul() {
+ const ForPartialVectors<TestUnsignedMul> test_unsigned;
+ // No u8.
+ test_unsigned(uint16_t());
+ test_unsigned(uint32_t());
+ test_unsigned(uint64_t());
+
+ const ForPartialVectors<TestSignedMul> test_signed;
+ // No i8.
+ test_signed(int16_t());
+ test_signed(int32_t());
+ test_signed(int64_t());
+
+ const ForPartialVectors<TestMulOverflow> test_mul_overflow;
+ test_mul_overflow(int16_t());
+ test_mul_overflow(int32_t());
+#if HWY_HAVE_INTEGER64
+ test_mul_overflow(int64_t());
+#endif
+
+ const ForPartialVectors<TestDivOverflow> test_div_overflow;
+ test_div_overflow(float());
+#if HWY_HAVE_FLOAT64
+ test_div_overflow(double());
+#endif
+}
+
+struct TestMulHigh {
+ template <typename T, class D>
+ HWY_NOINLINE void operator()(T /*unused*/, D d) {
+ using Wide = MakeWide<T>;
+ const size_t N = Lanes(d);
+ auto in_lanes = AllocateAligned<T>(N);
+ auto expected_lanes = AllocateAligned<T>(N);
+
+ const auto vi = Iota(d, 1);
+ // no i8 supported, so no wraparound
+ const auto vni = Iota(d, T(static_cast<T>(~N + 1)));
+
+ const auto v0 = Zero(d);
+ HWY_ASSERT_VEC_EQ(d, v0, MulHigh(v0, v0));
+ HWY_ASSERT_VEC_EQ(d, v0, MulHigh(v0, vi));
+ HWY_ASSERT_VEC_EQ(d, v0, MulHigh(vi, v0));
+
+ // Large positive squared
+ for (size_t i = 0; i < N; ++i) {
+ in_lanes[i] = T(LimitsMax<T>() >> i);
+ expected_lanes[i] = T((Wide(in_lanes[i]) * in_lanes[i]) >> 16);
+ }
+ auto v = Load(d, in_lanes.get());
+ HWY_ASSERT_VEC_EQ(d, expected_lanes.get(), MulHigh(v, v));
+
+ // Large positive * small positive
+ for (size_t i = 0; i < N; ++i) {
+ expected_lanes[i] = T((Wide(in_lanes[i]) * T(1u + i)) >> 16);
+ }
+ HWY_ASSERT_VEC_EQ(d, expected_lanes.get(), MulHigh(v, vi));
+ HWY_ASSERT_VEC_EQ(d, expected_lanes.get(), MulHigh(vi, v));
+
+ // Large positive * small negative
+ for (size_t i = 0; i < N; ++i) {
+ expected_lanes[i] = T((Wide(in_lanes[i]) * T(i - N)) >> 16);
+ }
+ HWY_ASSERT_VEC_EQ(d, expected_lanes.get(), MulHigh(v, vni));
+ HWY_ASSERT_VEC_EQ(d, expected_lanes.get(), MulHigh(vni, v));
+ }
+};
+
+HWY_NOINLINE void TestAllMulHigh() {
+ ForPartialVectors<TestMulHigh> test;
+ test(int16_t());
+ test(uint16_t());
+}
+
+struct TestMulFixedPoint15 {
+ template <typename T, class D>
+ HWY_NOINLINE void operator()(T /*unused*/, D d) {
+ const auto v0 = Zero(d);
+ HWY_ASSERT_VEC_EQ(d, v0, MulFixedPoint15(v0, v0));
+ HWY_ASSERT_VEC_EQ(d, v0, MulFixedPoint15(v0, v0));
+
+ const size_t N = Lanes(d);
+ auto in1 = AllocateAligned<T>(N);
+ auto in2 = AllocateAligned<T>(N);
+ auto expected = AllocateAligned<T>(N);
+
+ // Random inputs in each lane
+ RandomState rng;
+ for (size_t rep = 0; rep < AdjustedReps(10000); ++rep) {
+ for (size_t i = 0; i < N; ++i) {
+ in1[i] = static_cast<T>(Random64(&rng) & 0xFFFF);
+ in2[i] = static_cast<T>(Random64(&rng) & 0xFFFF);
+ }
+
+ for (size_t i = 0; i < N; ++i) {
+ // There are three ways to compute the results. x86 and ARM are defined
+ // using 32-bit multiplication results:
+ const int arm = (2 * in1[i] * in2[i] + 0x8000) >> 16;
+ const int x86 = (((in1[i] * in2[i]) >> 14) + 1) >> 1;
+ // On other platforms, split the result into upper and lower 16 bits.
+ const auto v1 = Set(d, in1[i]);
+ const auto v2 = Set(d, in2[i]);
+ const int hi = GetLane(MulHigh(v1, v2));
+ const int lo = GetLane(Mul(v1, v2)) & 0xFFFF;
+ const int split = 2 * hi + ((lo + 0x4000) >> 15);
+ expected[i] = static_cast<T>(arm);
+ if (in1[i] != -32768 || in2[i] != -32768) {
+ HWY_ASSERT_EQ(arm, x86);
+ HWY_ASSERT_EQ(arm, split);
+ }
+ }
+
+ const auto a = Load(d, in1.get());
+ const auto b = Load(d, in2.get());
+ HWY_ASSERT_VEC_EQ(d, expected.get(), MulFixedPoint15(a, b));
+ }
+ }
+};
+
+HWY_NOINLINE void TestAllMulFixedPoint15() {
+ ForPartialVectors<TestMulFixedPoint15>()(int16_t());
+}
+
+struct TestMulEven {
+ template <typename T, class D>
+ HWY_NOINLINE void operator()(T /*unused*/, D d) {
+ using Wide = MakeWide<T>;
+ const Repartition<Wide, D> d2;
+ const auto v0 = Zero(d);
+ HWY_ASSERT_VEC_EQ(d2, Zero(d2), MulEven(v0, v0));
+
+ const size_t N = Lanes(d);
+ auto in_lanes = AllocateAligned<T>(N);
+ auto expected = AllocateAligned<Wide>(Lanes(d2));
+ for (size_t i = 0; i < N; i += 2) {
+ in_lanes[i + 0] = LimitsMax<T>() >> i;
+ if (N != 1) {
+ in_lanes[i + 1] = 1; // unused
+ }
+ expected[i / 2] = Wide(in_lanes[i + 0]) * in_lanes[i + 0];
+ }
+
+ const auto v = Load(d, in_lanes.get());
+ HWY_ASSERT_VEC_EQ(d2, expected.get(), MulEven(v, v));
+ }
+};
+
+struct TestMulEvenOdd64 {
+ template <typename T, class D>
+ HWY_NOINLINE void operator()(T /*unused*/, D d) {
+#if HWY_TARGET != HWY_SCALAR
+ const auto v0 = Zero(d);
+ HWY_ASSERT_VEC_EQ(d, Zero(d), MulEven(v0, v0));
+ HWY_ASSERT_VEC_EQ(d, Zero(d), MulOdd(v0, v0));
+
+ const size_t N = Lanes(d);
+ if (N == 1) return;
+
+ auto in1 = AllocateAligned<T>(N);
+ auto in2 = AllocateAligned<T>(N);
+ auto expected_even = AllocateAligned<T>(N);
+ auto expected_odd = AllocateAligned<T>(N);
+
+ // Random inputs in each lane
+ RandomState rng;
+ for (size_t rep = 0; rep < AdjustedReps(1000); ++rep) {
+ for (size_t i = 0; i < N; ++i) {
+ in1[i] = Random64(&rng);
+ in2[i] = Random64(&rng);
+ }
+
+ for (size_t i = 0; i < N; i += 2) {
+ expected_even[i] = Mul128(in1[i], in2[i], &expected_even[i + 1]);
+ expected_odd[i] = Mul128(in1[i + 1], in2[i + 1], &expected_odd[i + 1]);
+ }
+
+ const auto a = Load(d, in1.get());
+ const auto b = Load(d, in2.get());
+ HWY_ASSERT_VEC_EQ(d, expected_even.get(), MulEven(a, b));
+ HWY_ASSERT_VEC_EQ(d, expected_odd.get(), MulOdd(a, b));
+ }
+#else
+ (void)d;
+#endif // HWY_TARGET != HWY_SCALAR
+ }
+};
+
+HWY_NOINLINE void TestAllMulEven() {
+ ForGEVectors<64, TestMulEven> test;
+ test(int32_t());
+ test(uint32_t());
+
+ ForGEVectors<128, TestMulEvenOdd64>()(uint64_t());
+}
+
+#ifndef HWY_NATIVE_FMA
+#error "Bug in set_macros-inl.h, did not set HWY_NATIVE_FMA"
+#endif
+
+struct TestMulAdd {
+ template <typename T, class D>
+ HWY_NOINLINE void operator()(T /*unused*/, D d) {
+ const auto k0 = Zero(d);
+ const auto kNeg0 = Set(d, T(-0.0));
+ const auto v1 = Iota(d, 1);
+ const auto v2 = Iota(d, 2);
+ const size_t N = Lanes(d);
+ auto expected = AllocateAligned<T>(N);
+ HWY_ASSERT_VEC_EQ(d, k0, MulAdd(k0, k0, k0));
+ HWY_ASSERT_VEC_EQ(d, v2, MulAdd(k0, v1, v2));
+ HWY_ASSERT_VEC_EQ(d, v2, MulAdd(v1, k0, v2));
+ HWY_ASSERT_VEC_EQ(d, k0, NegMulAdd(k0, k0, k0));
+ HWY_ASSERT_VEC_EQ(d, v2, NegMulAdd(k0, v1, v2));
+ HWY_ASSERT_VEC_EQ(d, v2, NegMulAdd(v1, k0, v2));
+
+ for (size_t i = 0; i < N; ++i) {
+ expected[i] = static_cast<T>((i + 1) * (i + 2));
+ }
+ HWY_ASSERT_VEC_EQ(d, expected.get(), MulAdd(v2, v1, k0));
+ HWY_ASSERT_VEC_EQ(d, expected.get(), MulAdd(v1, v2, k0));
+ HWY_ASSERT_VEC_EQ(d, expected.get(), NegMulAdd(Neg(v2), v1, k0));
+ HWY_ASSERT_VEC_EQ(d, expected.get(), NegMulAdd(v1, Neg(v2), k0));
+
+ for (size_t i = 0; i < N; ++i) {
+ expected[i] = static_cast<T>((i + 2) * (i + 2) + (i + 1));
+ }
+ HWY_ASSERT_VEC_EQ(d, expected.get(), MulAdd(v2, v2, v1));
+ HWY_ASSERT_VEC_EQ(d, expected.get(), NegMulAdd(Neg(v2), v2, v1));
+
+ for (size_t i = 0; i < N; ++i) {
+ expected[i] =
+ T(-T(i + 2u) * static_cast<T>(i + 2) + static_cast<T>(1 + i));
+ }
+ HWY_ASSERT_VEC_EQ(d, expected.get(), NegMulAdd(v2, v2, v1));
+
+ HWY_ASSERT_VEC_EQ(d, k0, MulSub(k0, k0, k0));
+ HWY_ASSERT_VEC_EQ(d, kNeg0, NegMulSub(k0, k0, k0));
+
+ for (size_t i = 0; i < N; ++i) {
+ expected[i] = -T(i + 2);
+ }
+ HWY_ASSERT_VEC_EQ(d, expected.get(), MulSub(k0, v1, v2));
+ HWY_ASSERT_VEC_EQ(d, expected.get(), MulSub(v1, k0, v2));
+ HWY_ASSERT_VEC_EQ(d, expected.get(), NegMulSub(Neg(k0), v1, v2));
+ HWY_ASSERT_VEC_EQ(d, expected.get(), NegMulSub(v1, Neg(k0), v2));
+
+ for (size_t i = 0; i < N; ++i) {
+ expected[i] = static_cast<T>((i + 1) * (i + 2));
+ }
+ HWY_ASSERT_VEC_EQ(d, expected.get(), MulSub(v1, v2, k0));
+ HWY_ASSERT_VEC_EQ(d, expected.get(), MulSub(v2, v1, k0));
+ HWY_ASSERT_VEC_EQ(d, expected.get(), NegMulSub(Neg(v1), v2, k0));
+ HWY_ASSERT_VEC_EQ(d, expected.get(), NegMulSub(v2, Neg(v1), k0));
+
+ for (size_t i = 0; i < N; ++i) {
+ expected[i] = static_cast<T>((i + 2) * (i + 2) - (1 + i));
+ }
+ HWY_ASSERT_VEC_EQ(d, expected.get(), MulSub(v2, v2, v1));
+ HWY_ASSERT_VEC_EQ(d, expected.get(), NegMulSub(Neg(v2), v2, v1));
+ }
+};
+
+HWY_NOINLINE void TestAllMulAdd() {
+ ForFloatTypes(ForPartialVectors<TestMulAdd>());
+}
+
+struct TestReorderWidenMulAccumulate {
+ template <typename TN, class DN>
+ HWY_NOINLINE void operator()(TN /*unused*/, DN dn) {
+ using TW = MakeWide<TN>;
+ const RepartitionToWide<DN> dw;
+ const Half<DN> dnh;
+ using VW = Vec<decltype(dw)>;
+ using VN = Vec<decltype(dn)>;
+ const size_t NN = Lanes(dn);
+
+ const VW f0 = Zero(dw);
+ const VW f1 = Set(dw, TW{1});
+ const VN bf0 = Zero(dn);
+ // Cannot Set() bfloat16_t directly.
+ const VN bf1 = ReorderDemote2To(dn, f1, f1);
+
+ // Any input zero => both outputs zero
+ VW sum1 = f0;
+ HWY_ASSERT_VEC_EQ(dw, f0,
+ ReorderWidenMulAccumulate(dw, bf0, bf0, f0, sum1));
+ HWY_ASSERT_VEC_EQ(dw, f0, sum1);
+ HWY_ASSERT_VEC_EQ(dw, f0,
+ ReorderWidenMulAccumulate(dw, bf0, bf1, f0, sum1));
+ HWY_ASSERT_VEC_EQ(dw, f0, sum1);
+ HWY_ASSERT_VEC_EQ(dw, f0,
+ ReorderWidenMulAccumulate(dw, bf1, bf0, f0, sum1));
+ HWY_ASSERT_VEC_EQ(dw, f0, sum1);
+
+ // delta[p] := 1, all others zero. For each p: Dot(delta, all-ones) == 1.
+ auto delta_w = AllocateAligned<TW>(NN);
+ for (size_t p = 0; p < NN; ++p) {
+ // Workaround for incorrect Clang wasm codegen: re-initialize the entire
+ // array rather than zero-initialize once and then toggle lane p.
+ for (size_t i = 0; i < NN; ++i) {
+ delta_w[i] = static_cast<TW>(i == p);
+ }
+ const VW delta0 = Load(dw, delta_w.get());
+ const VW delta1 = Load(dw, delta_w.get() + NN / 2);
+ const VN delta = ReorderDemote2To(dn, delta0, delta1);
+
+ {
+ sum1 = f0;
+ const VW sum0 = ReorderWidenMulAccumulate(dw, delta, bf1, f0, sum1);
+ HWY_ASSERT_EQ(TW{1}, GetLane(SumOfLanes(dw, Add(sum0, sum1))));
+ }
+ // Swapped arg order
+ {
+ sum1 = f0;
+ const VW sum0 = ReorderWidenMulAccumulate(dw, bf1, delta, f0, sum1);
+ HWY_ASSERT_EQ(TW{1}, GetLane(SumOfLanes(dw, Add(sum0, sum1))));
+ }
+ // Start with nonzero sum0 or sum1
+ {
+ VW sum0 = PromoteTo(dw, LowerHalf(dnh, delta));
+ sum1 = PromoteTo(dw, UpperHalf(dnh, delta));
+ sum0 = ReorderWidenMulAccumulate(dw, delta, bf1, sum0, sum1);
+ HWY_ASSERT_EQ(TW{2}, GetLane(SumOfLanes(dw, Add(sum0, sum1))));
+ }
+ // Start with nonzero sum0 or sum1, and swap arg order
+ {
+ VW sum0 = PromoteTo(dw, LowerHalf(dnh, delta));
+ sum1 = PromoteTo(dw, UpperHalf(dnh, delta));
+ sum0 = ReorderWidenMulAccumulate(dw, bf1, delta, sum0, sum1);
+ HWY_ASSERT_EQ(TW{2}, GetLane(SumOfLanes(dw, Add(sum0, sum1))));
+ }
+ }
+ }
+};
+
+HWY_NOINLINE void TestAllReorderWidenMulAccumulate() {
+ ForShrinkableVectors<TestReorderWidenMulAccumulate>()(bfloat16_t());
+ ForShrinkableVectors<TestReorderWidenMulAccumulate>()(int16_t());
+}
+
+struct TestRearrangeToOddPlusEven {
+ template <typename TN, class DN>
+ HWY_NOINLINE void operator()(TN /*unused*/, DN dn) {
+ using TW = MakeWide<TN>;
+ const RebindToUnsigned<DN> du;
+ const RepartitionToWide<DN> dw;
+ const Half<DN> dnh;
+ const RebindToUnsigned<decltype(dnh)> duh;
+ using VW = Vec<decltype(dw)>;
+ using VN = Vec<decltype(dn)>;
+ const size_t NW = Lanes(dw);
+
+ const VW up0 = Iota(dw, TW{1});
+ const VW up1 = Iota(dw, static_cast<TW>(1 + NW));
+ // We will compute i * (N-i) to avoid per-lane overflow.
+ const VW down0 = Reverse(dw, up1);
+ const VW down1 = Reverse(dw, up0);
+
+ // Combine is not available for bf16, so cast to u16.
+ const auto a0 = BitCast(duh, DemoteTo(dnh, up0));
+ const auto a1 = BitCast(duh, DemoteTo(dnh, up1));
+ const VN a = BitCast(dn, Combine(du, a1, a0));
+ const auto b0 = BitCast(duh, DemoteTo(dnh, down0));
+ const auto b1 = BitCast(duh, DemoteTo(dnh, down1));
+ const VN b = BitCast(dn, Combine(du, b1, b0));
+
+ const auto expected = AllocateAligned<TW>(NW);
+ for (size_t iw = 0; iw < NW; ++iw) {
+ const size_t in = iw * 2; // even, odd is +1
+ const size_t a0 = 1 + in;
+ const size_t b0 = 1 + 2 * NW - a0;
+ const size_t a1 = a0 + 1;
+ const size_t b1 = b0 - 1;
+ expected[iw] = static_cast<TW>(a0 * b0 + a1 * b1);
+ }
+
+ VW sum1 = Zero(dw);
+ const VW sum0 = ReorderWidenMulAccumulate(dw, a, b, Zero(dw), sum1);
+ const VW sum_odd_even = RearrangeToOddPlusEven(sum0, sum1);
+ HWY_ASSERT_VEC_EQ(dw, expected.get(), sum_odd_even);
+ }
+};
+
+HWY_NOINLINE void TestAllRearrangeToOddPlusEven() {
+ ForShrinkableVectors<TestRearrangeToOddPlusEven>()(bfloat16_t());
+ ForShrinkableVectors<TestRearrangeToOddPlusEven>()(int16_t());
+}
+
+// NOLINTNEXTLINE(google-readability-namespace-comments)
+} // namespace HWY_NAMESPACE
+} // namespace hwy
+HWY_AFTER_NAMESPACE();
+
+#if HWY_ONCE
+
+namespace hwy {
+HWY_BEFORE_TEST(HwyMulTest);
+HWY_EXPORT_AND_TEST_P(HwyMulTest, TestAllMul);
+HWY_EXPORT_AND_TEST_P(HwyMulTest, TestAllMulHigh);
+HWY_EXPORT_AND_TEST_P(HwyMulTest, TestAllMulFixedPoint15);
+HWY_EXPORT_AND_TEST_P(HwyMulTest, TestAllMulEven);
+HWY_EXPORT_AND_TEST_P(HwyMulTest, TestAllMulAdd);
+HWY_EXPORT_AND_TEST_P(HwyMulTest, TestAllReorderWidenMulAccumulate);
+HWY_EXPORT_AND_TEST_P(HwyMulTest, TestAllRearrangeToOddPlusEven);
+
+} // namespace hwy
+
+#endif