1 // Copyright 2020 Google LLC 2 // 3 // This source code is licensed under the BSD-style license found in the 4 // LICENSE file in the root directory of this source tree. 5 6 #pragma once 7 8 #include <gtest/gtest.h> 9 10 #include <algorithm> 11 #include <cassert> 12 #include <cstddef> 13 #include <cstdlib> 14 #include <functional> 15 #include <random> 16 #include <vector> 17 18 #include <xnnpack.h> 19 20 21 class NegateOperatorTester { 22 public: channels(size_t channels)23 inline NegateOperatorTester& channels(size_t channels) { 24 assert(channels != 0); 25 this->channels_ = channels; 26 return *this; 27 } 28 channels()29 inline size_t channels() const { 30 return this->channels_; 31 } 32 input_stride(size_t input_stride)33 inline NegateOperatorTester& input_stride(size_t input_stride) { 34 assert(input_stride != 0); 35 this->input_stride_ = input_stride; 36 return *this; 37 } 38 input_stride()39 inline size_t input_stride() const { 40 if (this->input_stride_ == 0) { 41 return this->channels_; 42 } else { 43 assert(this->input_stride_ >= this->channels_); 44 return this->input_stride_; 45 } 46 } 47 output_stride(size_t output_stride)48 inline NegateOperatorTester& output_stride(size_t output_stride) { 49 assert(output_stride != 0); 50 this->output_stride_ = output_stride; 51 return *this; 52 } 53 output_stride()54 inline size_t output_stride() const { 55 if (this->output_stride_ == 0) { 56 return this->channels_; 57 } else { 58 assert(this->output_stride_ >= this->channels_); 59 return this->output_stride_; 60 } 61 } 62 batch_size(size_t batch_size)63 inline NegateOperatorTester& batch_size(size_t batch_size) { 64 assert(batch_size != 0); 65 this->batch_size_ = batch_size; 66 return *this; 67 } 68 batch_size()69 inline size_t batch_size() const { 70 return this->batch_size_; 71 } 72 iterations(size_t iterations)73 inline NegateOperatorTester& iterations(size_t iterations) { 74 this->iterations_ = iterations; 75 return *this; 76 } 77 iterations()78 inline size_t iterations() const { 79 return this->iterations_; 80 } 81 TestF32()82 void TestF32() const { 83 std::random_device random_device; 84 auto rng = std::mt19937(random_device()); 85 auto f32rng = std::bind(std::uniform_real_distribution<float>(-1.0f, 1.0f), rng); 86 87 std::vector<float> input(XNN_EXTRA_BYTES / sizeof(float) + 88 (batch_size() - 1) * input_stride() + channels()); 89 std::vector<float> output((batch_size() - 1) * output_stride() + channels()); 90 std::vector<float> output_ref(batch_size() * channels()); 91 for (size_t iteration = 0; iteration < iterations(); iteration++) { 92 std::generate(input.begin(), input.end(), std::ref(f32rng)); 93 std::fill(output.begin(), output.end(), std::nanf("")); 94 95 // Compute reference results. 96 for (size_t i = 0; i < batch_size(); i++) { 97 for (size_t c = 0; c < channels(); c++) { 98 output_ref[i * channels() + c] = -input[i * input_stride() + c]; 99 } 100 } 101 102 // Create, setup, run, and destroy Negate operator. 103 ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); 104 xnn_operator_t negate_op = nullptr; 105 106 ASSERT_EQ(xnn_status_success, 107 xnn_create_negate_nc_f32( 108 channels(), input_stride(), output_stride(), 109 0, &negate_op)); 110 ASSERT_NE(nullptr, negate_op); 111 112 // Smart pointer to automatically delete negate_op. 113 std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_negate_op(negate_op, xnn_delete_operator); 114 115 ASSERT_EQ(xnn_status_success, 116 xnn_setup_negate_nc_f32( 117 negate_op, 118 batch_size(), 119 input.data(), output.data(), 120 nullptr /* thread pool */)); 121 122 ASSERT_EQ(xnn_status_success, 123 xnn_run_operator(negate_op, nullptr /* thread pool */)); 124 125 // Verify results. 126 for (size_t i = 0; i < batch_size(); i++) { 127 for (size_t c = 0; c < channels(); c++) { 128 ASSERT_EQ(output_ref[i * channels() + c], output[i * output_stride() + c]) 129 << "at batch " << i << " / " << batch_size() << ", channel " << c << " / " << channels(); 130 } 131 } 132 } 133 } 134 135 private: 136 size_t batch_size_{1}; 137 size_t channels_{1}; 138 size_t input_stride_{0}; 139 size_t output_stride_{0}; 140 size_t iterations_{15}; 141 }; 142