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 | #pragma once |
| 10 | |
| 11 | #include <gtest/gtest.h> |
| 12 | |
| 13 | #include <cstddef> |
| 14 | #include <cstdlib> |
| 15 | |
| 16 | #include <algorithm> |
| 17 | #include <cfloat> |
| 18 | #include <cmath> |
| 19 | #include <functional> |
Marat Dukhan | 5ce30d9 | 2020-04-14 03:31:26 -0700 | [diff] [blame] | 20 | #include <limits> |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 21 | #include <random> |
| 22 | #include <vector> |
| 23 | |
| 24 | #include <xnnpack/params.h> |
| 25 | |
| 26 | |
| 27 | class ZipMicrokernelTester { |
| 28 | public: |
| 29 | inline ZipMicrokernelTester& n(size_t n) { |
| 30 | assert(n != 0); |
| 31 | this->n_ = n; |
| 32 | return *this; |
| 33 | } |
| 34 | |
| 35 | inline size_t n() const { |
| 36 | return this->n_; |
| 37 | } |
| 38 | |
| 39 | inline ZipMicrokernelTester& g(size_t g) { |
| 40 | assert(g != 0); |
| 41 | this->g_ = g; |
| 42 | return *this; |
| 43 | } |
| 44 | |
| 45 | inline size_t g() const { |
| 46 | return this->g_; |
| 47 | } |
| 48 | |
| 49 | inline ZipMicrokernelTester& iterations(size_t iterations) { |
| 50 | this->iterations_ = iterations; |
| 51 | return *this; |
| 52 | } |
| 53 | |
| 54 | inline size_t iterations() const { |
| 55 | return this->iterations_; |
| 56 | } |
| 57 | |
| 58 | void Test(xnn_x8_zipc_ukernel_function zip) const { |
| 59 | std::random_device random_device; |
| 60 | auto rng = std::mt19937(random_device()); |
Marat Dukhan | 5ce30d9 | 2020-04-14 03:31:26 -0700 | [diff] [blame] | 61 | auto u8rng = std::bind(std::uniform_int_distribution<uint32_t>(0, std::numeric_limits<uint8_t>::max()), rng); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 62 | |
| 63 | std::vector<uint8_t> x(n() * g()); |
| 64 | std::vector<uint8_t> y(g() * n()); |
| 65 | |
| 66 | for (size_t iteration = 0; iteration < iterations(); iteration++) { |
| 67 | std::generate(x.begin(), x.end(), std::ref(u8rng)); |
| 68 | std::fill(y.begin(), y.end(), 0xA5); |
| 69 | |
| 70 | // Call optimized micro-kernel. |
| 71 | zip(n() * sizeof(uint8_t), x.data(), y.data()); |
| 72 | |
| 73 | // Verify results. |
| 74 | for (size_t i = 0; i < n(); i++) { |
| 75 | for (size_t j = 0; j < g(); j++) { |
| 76 | ASSERT_EQ(uint32_t(y[i * g() + j]), uint32_t(x[j * n() + i])) |
| 77 | << "at element " << i << ", group " << j; |
| 78 | } |
| 79 | } |
| 80 | } |
| 81 | } |
| 82 | |
| 83 | void Test(xnn_x8_zipv_ukernel_function zip) const { |
| 84 | std::random_device random_device; |
| 85 | auto rng = std::mt19937(random_device()); |
Marat Dukhan | 5ce30d9 | 2020-04-14 03:31:26 -0700 | [diff] [blame] | 86 | auto u8rng = std::bind(std::uniform_int_distribution<uint32_t>(0, std::numeric_limits<uint8_t>::max()), rng); |
XNNPACK Team | b455b12 | 2019-09-27 18:10:33 -0700 | [diff] [blame] | 87 | |
| 88 | std::vector<uint8_t> x(n() * g()); |
| 89 | std::vector<uint8_t> y(g() * n()); |
| 90 | |
| 91 | for (size_t iteration = 0; iteration < iterations(); iteration++) { |
| 92 | std::generate(x.begin(), x.end(), std::ref(u8rng)); |
| 93 | std::fill(y.begin(), y.end(), 0xA5); |
| 94 | |
| 95 | // Call optimized micro-kernel. |
| 96 | zip(n() * sizeof(uint8_t), g(), x.data(), y.data()); |
| 97 | |
| 98 | // Verify results. |
| 99 | for (size_t i = 0; i < n(); i++) { |
| 100 | for (size_t j = 0; j < g(); j++) { |
| 101 | ASSERT_EQ(uint32_t(y[i * g() + j]), uint32_t(x[j * n() + i])) |
| 102 | << "at element " << i << ", group " << j; |
| 103 | } |
| 104 | } |
| 105 | } |
| 106 | } |
| 107 | |
| 108 | void Test(xnn_x32_zipc_ukernel_function zip) const { |
| 109 | std::random_device random_device; |
| 110 | auto rng = std::mt19937(random_device()); |
| 111 | auto u32rng = std::bind(std::uniform_int_distribution<uint32_t>(), rng); |
| 112 | |
| 113 | std::vector<uint32_t> x(n() * g()); |
| 114 | std::vector<uint32_t> y(g() * n()); |
| 115 | |
| 116 | for (size_t iteration = 0; iteration < iterations(); iteration++) { |
| 117 | std::generate(x.begin(), x.end(), std::ref(u32rng)); |
| 118 | std::fill(y.begin(), y.end(), 0xA55A5AA5); |
| 119 | |
| 120 | // Call optimized micro-kernel. |
| 121 | zip(n() * sizeof(uint32_t), x.data(), y.data()); |
| 122 | |
| 123 | // Verify results. |
| 124 | for (size_t i = 0; i < n(); i++) { |
| 125 | for (size_t j = 0; j < g(); j++) { |
| 126 | ASSERT_EQ(y[i * g() + j], x[j * n() + i]) |
| 127 | << "at element " << i << ", group " << j; |
| 128 | } |
| 129 | } |
| 130 | } |
| 131 | } |
| 132 | |
| 133 | void Test(xnn_x32_zipv_ukernel_function zip) const { |
| 134 | std::random_device random_device; |
| 135 | auto rng = std::mt19937(random_device()); |
| 136 | auto u32rng = std::bind(std::uniform_int_distribution<uint32_t>(), rng); |
| 137 | |
| 138 | std::vector<uint32_t> x(n() * g()); |
| 139 | std::vector<uint32_t> y(g() * n()); |
| 140 | |
| 141 | for (size_t iteration = 0; iteration < iterations(); iteration++) { |
| 142 | std::generate(x.begin(), x.end(), std::ref(u32rng)); |
| 143 | std::fill(y.begin(), y.end(), 0xA55A5AA5); |
| 144 | |
| 145 | // Call optimized micro-kernel. |
| 146 | zip(n() * sizeof(uint32_t), g(), x.data(), y.data()); |
| 147 | |
| 148 | // Verify results. |
| 149 | for (size_t i = 0; i < n(); i++) { |
| 150 | for (size_t j = 0; j < g(); j++) { |
| 151 | ASSERT_EQ(y[i * g() + j], x[j * n() + i]) |
| 152 | << "at element " << i << ", group " << j; |
| 153 | } |
| 154 | } |
| 155 | } |
| 156 | } |
| 157 | |
| 158 | private: |
| 159 | size_t n_{1}; |
| 160 | size_t g_{1}; |
| 161 | size_t iterations_{3}; |
| 162 | }; |