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 <cmath> 12 #include <cassert> 13 #include <cstddef> 14 #include <cstdlib> 15 #include <functional> 16 #include <random> 17 #include <vector> 18 19 #include <xnnpack.h> 20 21 22 class DepthToSpaceOperatorTester { 23 public: input_size(size_t input_height,size_t input_width)24 inline DepthToSpaceOperatorTester& input_size(size_t input_height, size_t input_width) { 25 assert(input_height >= 1); 26 assert(input_width >= 1); 27 this->input_height_ = input_height; 28 this->input_width_ = input_width; 29 return *this; 30 } 31 input_height(size_t input_height)32 inline DepthToSpaceOperatorTester& input_height(size_t input_height) { 33 assert(input_height >= 1); 34 this->input_height_ = input_height; 35 return *this; 36 } 37 input_height()38 inline size_t input_height() const { 39 return this->input_height_; 40 } 41 input_width(size_t input_width)42 inline DepthToSpaceOperatorTester& input_width(size_t input_width) { 43 assert(input_width >= 1); 44 this->input_width_ = input_width; 45 return *this; 46 } 47 input_width()48 inline size_t input_width() const { 49 return this->input_width_; 50 } 51 output_height()52 inline size_t output_height() const { 53 return input_height() * block_size(); 54 } 55 output_width()56 inline size_t output_width() const { 57 return input_width() * block_size(); 58 } 59 block_size(size_t block_size)60 inline DepthToSpaceOperatorTester& block_size(size_t block_size) { 61 assert(block_size >= 2); 62 this->block_size_ = block_size; 63 return *this; 64 } 65 block_size()66 inline size_t block_size() const { 67 return this->block_size_; 68 } 69 input_channels()70 inline size_t input_channels() const { 71 return output_channels() * block_size() * block_size(); 72 } 73 output_channels(size_t output_channels)74 inline DepthToSpaceOperatorTester& output_channels(size_t output_channels) { 75 assert(output_channels != 0); 76 this->output_channels_ = output_channels; 77 return *this; 78 } 79 output_channels()80 inline size_t output_channels() const { 81 return this->output_channels_; 82 } 83 batch_size(size_t batch_size)84 inline DepthToSpaceOperatorTester& batch_size(size_t batch_size) { 85 assert(batch_size != 0); 86 this->batch_size_ = batch_size; 87 return *this; 88 } 89 batch_size()90 inline size_t batch_size() const { 91 return this->batch_size_; 92 } 93 input_channels_stride(size_t input_channels_stride)94 inline DepthToSpaceOperatorTester& input_channels_stride(size_t input_channels_stride) { 95 assert(input_channels_stride >= 1); 96 this->input_channels_stride_ = input_channels_stride; 97 return *this; 98 } 99 input_channels_stride()100 inline size_t input_channels_stride() const { 101 if (this->input_channels_stride_ == 0) { 102 return input_channels(); 103 } else { 104 assert(this->input_channels_stride_ >= input_channels()); 105 return this->input_channels_stride_; 106 } 107 } 108 output_channels_stride(size_t output_channels_stride)109 inline DepthToSpaceOperatorTester& output_channels_stride(size_t output_channels_stride) { 110 assert(output_channels_stride >= 1); 111 this->output_channels_stride_ = output_channels_stride; 112 return *this; 113 } 114 output_channels_stride()115 inline size_t output_channels_stride() const { 116 if (this->output_channels_stride_ == 0) { 117 return output_channels(); 118 } else { 119 assert(this->output_channels_stride_ >= output_channels()); 120 return this->output_channels_stride_; 121 } 122 } 123 iterations(size_t iterations)124 inline DepthToSpaceOperatorTester& iterations(size_t iterations) { 125 this->iterations_ = iterations; 126 return *this; 127 } 128 iterations()129 inline size_t iterations() const { 130 return this->iterations_; 131 } 132 TestNHWCxX32()133 void TestNHWCxX32() const { 134 std::random_device random_device; 135 auto rng = std::mt19937(random_device()); 136 auto i32rng = std::bind(std::uniform_int_distribution<int32_t>(), rng); 137 138 std::vector<int32_t> input( 139 (batch_size() * input_height() * input_width() - 1) * input_channels_stride() + input_channels()); 140 std::vector<int32_t> output( 141 (batch_size() * output_height() * output_width() - 1) * output_channels_stride() + output_channels()); 142 for (size_t iteration = 0; iteration < iterations(); iteration++) { 143 std::generate(input.begin(), input.end(), std::ref(i32rng)); 144 std::fill(output.begin(), output.end(), INT32_C(0xDEADBEAF)); 145 146 // Create, setup, run, and destroy Depth To Space operator. 147 ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); 148 xnn_operator_t depth_to_space_op = nullptr; 149 150 ASSERT_EQ(xnn_status_success, 151 xnn_create_depth_to_space_nhwc_x32( 152 output_channels(), input_channels_stride(), output_channels_stride(), 153 block_size(), 0, &depth_to_space_op)); 154 ASSERT_NE(nullptr, depth_to_space_op); 155 156 // Smart pointer to automatically delete depth_to_space_op. 157 std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_depth_to_space_op(depth_to_space_op, xnn_delete_operator); 158 159 ASSERT_EQ(xnn_status_success, 160 xnn_setup_depth_to_space_nhwc_x32( 161 depth_to_space_op, 162 batch_size(), input_height(), input_width(), 163 input.data(), output.data(), nullptr /* thread pool */)); 164 165 ASSERT_EQ(xnn_status_success, 166 xnn_run_operator(depth_to_space_op, nullptr /* thread pool */)); 167 168 // Verify results. 169 for (size_t i = 0; i < batch_size(); i++) { 170 for (size_t iy = 0; iy < input_height(); iy++) { 171 for (size_t by = 0; by < block_size(); by++) { 172 for (size_t ix = 0; ix < input_width(); ix++) { 173 for (size_t bx = 0; bx < block_size(); bx++) { 174 for (size_t oc = 0; oc < output_channels(); oc++) { 175 const size_t input_index = 176 ((i * input_height() + iy) * input_width() + ix) * input_channels_stride() + 177 (by * block_size() + bx) * output_channels() + oc; 178 const size_t output_index = 179 ((i * output_height() + iy * block_size() + by) * output_width() + ix * block_size() + bx) * 180 output_channels_stride() + oc; 181 ASSERT_EQ(output[output_index], input[input_index]) 182 << "batch: " << i << " / " << batch_size() 183 << ", input x: " << ix << " / " << input_width() 184 << ", input y: " << iy << " / " << input_height() 185 << ", block x: " << bx << " / " << block_size() 186 << ", block y: " << by << " / " << block_size() 187 << ", output channel: " << oc << " / " << output_channels() 188 << ", input stride: " << input_channels_stride() 189 << ", output stride: " << output_channels_stride(); 190 } 191 } 192 } 193 } 194 } 195 } 196 } 197 } 198 TestNCHW2NHWCxX32()199 void TestNCHW2NHWCxX32() const { 200 std::random_device random_device; 201 auto rng = std::mt19937(random_device()); 202 auto i32rng = std::bind(std::uniform_int_distribution<int32_t>(), rng); 203 204 std::vector<int32_t> input(XNN_EXTRA_BYTES / sizeof(uint32_t) + 205 ((batch_size() - 1) * input_channels_stride() + input_channels()) * input_height() * input_width()); 206 std::vector<int32_t> output( 207 (batch_size() * output_height() * output_width() - 1) * output_channels_stride() + output_channels()); 208 for (size_t iteration = 0; iteration < iterations(); iteration++) { 209 std::generate(input.begin(), input.end(), std::ref(i32rng)); 210 std::fill(output.begin(), output.end(), INT32_C(0xDEADBEAF)); 211 212 // Create, setup, run, and destroy Depth To Space operator. 213 ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); 214 xnn_operator_t depth_to_space_op = nullptr; 215 216 ASSERT_EQ(xnn_status_success, 217 xnn_create_depth_to_space_nchw2nhwc_x32( 218 output_channels(), input_channels_stride(), output_channels_stride(), 219 block_size(), 0, &depth_to_space_op)); 220 ASSERT_NE(nullptr, depth_to_space_op); 221 222 // Smart pointer to automatically delete depth_to_space_op. 223 std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_depth_to_space_op(depth_to_space_op, xnn_delete_operator); 224 225 ASSERT_EQ(xnn_status_success, 226 xnn_setup_depth_to_space_nchw2nhwc_x32( 227 depth_to_space_op, 228 batch_size(), input_height(), input_width(), 229 input.data(), output.data(), nullptr /* thread pool */)); 230 231 ASSERT_EQ(xnn_status_success, 232 xnn_run_operator(depth_to_space_op, nullptr /* thread pool */)); 233 234 // Verify results. 235 for (size_t i = 0; i < batch_size(); i++) { 236 for (size_t iy = 0; iy < input_height(); iy++) { 237 for (size_t by = 0; by < block_size(); by++) { 238 for (size_t ix = 0; ix < input_width(); ix++) { 239 for (size_t bx = 0; bx < block_size(); bx++) { 240 for (size_t oc = 0; oc < output_channels(); oc++) { 241 const size_t input_index = 242 i * input_channels_stride() * input_height() * input_width() + 243 (((by * block_size() + bx) * output_channels() + oc) * input_height() + iy) * input_width() + ix; 244 const size_t output_index = 245 ((i * output_height() + iy * block_size() + by) * output_width() + ix * block_size() + bx) * 246 output_channels_stride() + oc; 247 ASSERT_EQ(output[output_index], input[input_index]) 248 << "batch: " << i << " / " << batch_size() 249 << ", input x: " << ix << " / " << input_width() 250 << ", input y: " << iy << " / " << input_height() 251 << ", block x: " << bx << " / " << block_size() 252 << ", block y: " << by << " / " << block_size() 253 << ", output channel: " << oc << " / " << output_channels() 254 << ", input stride: " << input_channels_stride() 255 << ", output stride: " << output_channels_stride(); 256 } 257 } 258 } 259 } 260 } 261 } 262 } 263 } 264 265 private: 266 size_t input_height_{1}; 267 size_t input_width_{1}; 268 size_t output_channels_{1}; 269 size_t block_size_{2}; 270 size_t batch_size_{1}; 271 size_t input_channels_stride_{0}; 272 size_t output_channels_stride_{0}; 273 size_t iterations_{1}; 274 }; 275