XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 1 | // Copyright (c) Facebook, Inc. and its affiliates. |
| 2 | // All rights reserved. |
| 3 | // |
| 4 | // Copyright 2019 Google LLC |
| 5 | // |
| 6 | // This source code is licensed under the BSD-style license found in the |
| 7 | // LICENSE file in the root directory of this source tree. |
| 8 | |
| 9 | #include <algorithm> |
| 10 | #include <cfloat> |
| 11 | #include <cmath> |
| 12 | #include <functional> |
| 13 | #include <random> |
| 14 | #include <vector> |
| 15 | |
| 16 | #include <xnnpack.h> |
| 17 | |
| 18 | #include <benchmark/benchmark.h> |
Frank Barchard | bb4c18b | 2019-09-30 11:05:52 -0700 | [diff] [blame] | 19 | #include "bench/utils.h" |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 20 | |
| 21 | |
| 22 | static void global_average_pooling_q8(benchmark::State& state) { |
| 23 | const size_t batch_size = state.range(0); |
| 24 | const size_t input_height = state.range(1); |
| 25 | const size_t input_width = state.range(2); |
| 26 | const size_t channels = state.range(3); |
| 27 | |
| 28 | std::random_device random_device; |
| 29 | auto rng = std::mt19937(random_device()); |
| 30 | auto u8rng = std::bind(std::uniform_int_distribution<uint8_t>(), rng); |
| 31 | |
| 32 | std::vector<uint8_t> input(batch_size * input_height * input_width * channels); |
| 33 | std::generate(input.begin(), input.end(), std::ref(u8rng)); |
| 34 | std::vector<uint8_t> output(batch_size * channels); |
| 35 | |
Marat Dukhan | 04f03be | 2019-11-19 12:36:47 -0800 | [diff] [blame] | 36 | xnn_status status = xnn_initialize(nullptr /* allocator */); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 37 | if (status != xnn_status_success) { |
| 38 | state.SkipWithError("failed to initialize XNNPACK"); |
| 39 | } |
| 40 | |
| 41 | xnn_operator_t global_pooling_op = nullptr; |
| 42 | status = xnn_create_global_average_pooling_nwc_q8( |
| 43 | channels, channels /* input stride */, channels /* output stride */, |
| 44 | 127 /* input zero point */, 0.75f /* input scale */, |
| 45 | 127 /* output zero point */, 1.25f /* output scale */, |
| 46 | 0, 255, |
| 47 | 0 /* flags */, &global_pooling_op); |
| 48 | if (status != xnn_status_success) { |
| 49 | state.SkipWithError("failed to create Global Average Pooling operator"); |
| 50 | } |
| 51 | |
| 52 | status = xnn_setup_global_average_pooling_nwc_q8( |
| 53 | global_pooling_op, |
| 54 | batch_size, input_height * input_width, |
| 55 | input.data(), output.data(), |
| 56 | nullptr /* thread pool */); |
| 57 | if (status != xnn_status_success) { |
| 58 | state.SkipWithError("failed to setup Global Average Pooling operator"); |
| 59 | } |
| 60 | |
| 61 | for (auto _ : state) { |
| 62 | xnn_run_operator(global_pooling_op, nullptr /* thread pool */); |
| 63 | } |
| 64 | |
| 65 | status = xnn_delete_operator(global_pooling_op); |
| 66 | if (status != xnn_status_success) { |
| 67 | state.SkipWithError("failed to delete Global Average Pooling operator"); |
| 68 | } |
| 69 | global_pooling_op = nullptr; |
| 70 | |
Frank Barchard | bb4c18b | 2019-09-30 11:05:52 -0700 | [diff] [blame] | 71 | state.counters["Freq"] = benchmark::utils::GetCurrentCpuFrequency(); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 72 | state.counters["bytes"] = benchmark::Counter( |
| 73 | uint64_t(state.iterations()) * |
| 74 | batch_size * (input_height * input_width + 1) * channels * sizeof(uint8_t), |
| 75 | benchmark::Counter::kIsRate); |
| 76 | } |
| 77 | |
| 78 | static void ImageNetArguments(benchmark::internal::Benchmark* b) { |
| 79 | b->ArgNames({"N", "H", "W", "C"}); |
| 80 | |
| 81 | /* N IH IW C */ |
| 82 | b->Args({1, 7, 7, 1000}); |
| 83 | b->Args({1, 13, 13, 1000}); |
| 84 | } |
| 85 | |
| 86 | BENCHMARK(global_average_pooling_q8)->Apply(ImageNetArguments)->UseRealTime(); |
| 87 | |
| 88 | #ifndef XNNPACK_BENCHMARK_NO_MAIN |
| 89 | BENCHMARK_MAIN(); |
| 90 | #endif |