| // 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 "third_party/highway/hwy/nanobenchmark.h" |
| |
| #include <stddef.h> |
| #include <stdio.h> |
| |
| #include "third_party/highway/hwy/tests/hwy_gtest.h" |
| #include "third_party/highway/hwy/tests/test_util-inl.h" |
| |
| namespace hwy { |
| namespace { |
| |
| // Governs duration of test; avoid timeout in debug builds. |
| #if HWY_IS_DEBUG_BUILD |
| constexpr size_t kMaxEvals = 3; |
| #else |
| constexpr size_t kMaxEvals = 4; |
| #endif |
| |
| FuncOutput Div(const void*, FuncInput in) { |
| // Here we're measuring the throughput because benchmark invocations are |
| // independent. Any dividend will do; the divisor is nonzero. |
| return 0xFFFFF / in; |
| } |
| |
| template <size_t N> |
| void MeasureDiv(const FuncInput (&inputs)[N]) { |
| printf("Measuring integer division (output on final two lines)\n"); |
| Result results[N]; |
| Params params; |
| params.max_evals = kMaxEvals; |
| const size_t num_results = Measure(&Div, nullptr, inputs, N, results, params); |
| for (size_t i = 0; i < num_results; ++i) { |
| printf("%5d: %6.2f ticks; MAD=%4.2f%%\n", |
| static_cast<int>(results[i].input), results[i].ticks, |
| results[i].variability * 100.0); |
| } |
| } |
| |
| RandomState rng; |
| |
| // A function whose runtime depends on rng. |
| FuncOutput Random(const void* /*arg*/, FuncInput in) { |
| const size_t r = rng() & 0xF; |
| FuncOutput ret = static_cast<FuncOutput>(in); |
| for (size_t i = 0; i < r; ++i) { |
| ret /= ((rng() & 1) + 2); |
| } |
| return ret; |
| } |
| |
| // Ensure the measured variability is high. |
| template <size_t N> |
| void MeasureRandom(const FuncInput (&inputs)[N]) { |
| Result results[N]; |
| Params p; |
| p.max_evals = kMaxEvals; |
| p.verbose = false; |
| const size_t num_results = Measure(&Random, nullptr, inputs, N, results, p); |
| for (size_t i = 0; i < num_results; ++i) { |
| HWY_ASSERT(results[i].variability > 1E-3); |
| } |
| } |
| |
| TEST(NanobenchmarkTest, RunTest) { |
| const int unpredictable = Unpredictable1(); // == 1, unknown to compiler. |
| static const FuncInput inputs[] = {static_cast<FuncInput>(unpredictable) + 2, |
| static_cast<FuncInput>(unpredictable + 9)}; |
| |
| MeasureDiv(inputs); |
| MeasureRandom(inputs); |
| } |
| |
| } // namespace |
| } // namespace hwy |
| |
| HWY_TEST_MAIN(); |