Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 1 | /* |
Georgios Pinitas | 4d0351c | 2019-04-03 15:11:16 +0100 | [diff] [blame] | 2 | * Copyright (c) 2018-2019 ARM Limited. |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "arm_compute/runtime/CL/CLTensorAllocator.h" |
| 25 | |
Georgios Pinitas | b8d5b95 | 2019-05-16 14:13:03 +0100 | [diff] [blame] | 26 | #include "arm_compute/core/utils/misc/MMappedFile.h" |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 27 | #include "arm_compute/runtime/CL/CLMemoryGroup.h" |
| 28 | #include "arm_compute/runtime/CL/CLScheduler.h" |
Georgios Pinitas | 4d0351c | 2019-04-03 15:11:16 +0100 | [diff] [blame] | 29 | #include "arm_compute/runtime/CL/functions/CLActivationLayer.h" |
| 30 | #include "tests/CL/CLAccessor.h" |
| 31 | #include "tests/Globals.h" |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 32 | #include "tests/framework/Asserts.h" |
| 33 | #include "tests/framework/Macros.h" |
Georgios Pinitas | 4d0351c | 2019-04-03 15:11:16 +0100 | [diff] [blame] | 34 | #include "tests/validation/Validation.h" |
| 35 | #include "tests/validation/reference/ActivationLayer.h" |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 36 | |
| 37 | #include <memory> |
Georgios Pinitas | 4d0351c | 2019-04-03 15:11:16 +0100 | [diff] [blame] | 38 | #include <random> |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 39 | |
| 40 | namespace arm_compute |
| 41 | { |
| 42 | namespace test |
| 43 | { |
| 44 | namespace validation |
| 45 | { |
Georgios Pinitas | 4d0351c | 2019-04-03 15:11:16 +0100 | [diff] [blame] | 46 | namespace |
| 47 | { |
| 48 | cl_mem import_malloc_memory_helper(void *ptr, size_t size) |
| 49 | { |
| 50 | const cl_import_properties_arm import_properties[] = |
| 51 | { |
| 52 | CL_IMPORT_TYPE_ARM, |
| 53 | CL_IMPORT_TYPE_HOST_ARM, |
| 54 | 0 |
| 55 | }; |
| 56 | |
| 57 | cl_int err = CL_SUCCESS; |
| 58 | cl_mem buf = clImportMemoryARM(CLKernelLibrary::get().context().get(), CL_MEM_READ_WRITE, import_properties, ptr, size, &err); |
Georgios Pinitas | 17dae87 | 2019-04-12 17:08:40 +0100 | [diff] [blame] | 59 | ARM_COMPUTE_ASSERT(err == CL_SUCCESS); |
Georgios Pinitas | 4d0351c | 2019-04-03 15:11:16 +0100 | [diff] [blame] | 60 | |
| 61 | return buf; |
| 62 | } |
| 63 | } // namespace |
| 64 | |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 65 | TEST_SUITE(CL) |
| 66 | TEST_SUITE(UNIT) |
| 67 | TEST_SUITE(TensorAllocator) |
| 68 | |
Georgios Pinitas | 4c5469b | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 69 | /** Validates import memory interface when importing cl buffer objects */ |
Georgios Pinitas | 4d0351c | 2019-04-03 15:11:16 +0100 | [diff] [blame] | 70 | TEST_CASE(ImportMemoryBuffer, framework::DatasetMode::ALL) |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 71 | { |
| 72 | // Init tensor info |
Georgios Pinitas | 4d0351c | 2019-04-03 15:11:16 +0100 | [diff] [blame] | 73 | const TensorInfo info(TensorShape(24U, 16U, 3U), 1, DataType::F32); |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 74 | |
Georgios Pinitas | df31036 | 2018-11-14 13:16:56 +0000 | [diff] [blame] | 75 | // Allocate memory buffer |
| 76 | const size_t total_size = info.total_size(); |
| 77 | auto buf = cl::Buffer(CLScheduler::get().context(), CL_MEM_READ_WRITE, total_size); |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 78 | |
Georgios Pinitas | df31036 | 2018-11-14 13:16:56 +0000 | [diff] [blame] | 79 | // Negative case : Import nullptr |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 80 | CLTensor t1; |
| 81 | t1.allocator()->init(info); |
Georgios Pinitas | df31036 | 2018-11-14 13:16:56 +0000 | [diff] [blame] | 82 | ARM_COMPUTE_EXPECT(!bool(t1.allocator()->import_memory(cl::Buffer())), framework::LogLevel::ERRORS); |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 83 | ARM_COMPUTE_EXPECT(t1.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 84 | |
| 85 | // Negative case : Import memory to a tensor that is memory managed |
| 86 | CLTensor t2; |
| 87 | CLMemoryGroup mg; |
| 88 | t2.allocator()->set_associated_memory_group(&mg); |
Georgios Pinitas | df31036 | 2018-11-14 13:16:56 +0000 | [diff] [blame] | 89 | ARM_COMPUTE_EXPECT(!bool(t2.allocator()->import_memory(buf)), framework::LogLevel::ERRORS); |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 90 | ARM_COMPUTE_EXPECT(t2.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 91 | |
Georgios Pinitas | 4d0351c | 2019-04-03 15:11:16 +0100 | [diff] [blame] | 92 | // Negative case : Invalid buffer size |
| 93 | CLTensor t3; |
| 94 | const TensorInfo info_neg(TensorShape(32U, 16U, 3U), 1, DataType::F32); |
| 95 | t3.allocator()->init(info_neg); |
| 96 | ARM_COMPUTE_EXPECT(!bool(t3.allocator()->import_memory(buf)), framework::LogLevel::ERRORS); |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 97 | ARM_COMPUTE_EXPECT(t3.info()->is_resizable(), framework::LogLevel::ERRORS); |
Georgios Pinitas | 4d0351c | 2019-04-03 15:11:16 +0100 | [diff] [blame] | 98 | |
| 99 | // Positive case : Set raw pointer |
| 100 | CLTensor t4; |
| 101 | t4.allocator()->init(info); |
| 102 | ARM_COMPUTE_EXPECT(bool(t4.allocator()->import_memory(buf)), framework::LogLevel::ERRORS); |
| 103 | ARM_COMPUTE_EXPECT(!t4.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 104 | ARM_COMPUTE_EXPECT(t4.cl_buffer().get() == buf.get(), framework::LogLevel::ERRORS); |
| 105 | t4.allocator()->free(); |
| 106 | ARM_COMPUTE_EXPECT(t4.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 107 | ARM_COMPUTE_EXPECT(t4.cl_buffer().get() != buf.get(), framework::LogLevel::ERRORS); |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 108 | } |
| 109 | |
Georgios Pinitas | 4c5469b | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 110 | /** Validates import memory interface when importing malloced memory */ |
Georgios Pinitas | 4d0351c | 2019-04-03 15:11:16 +0100 | [diff] [blame] | 111 | TEST_CASE(ImportMemoryMalloc, framework::DatasetMode::ALL) |
| 112 | { |
| 113 | // Check if import extension is supported |
Georgios Pinitas | 17dae87 | 2019-04-12 17:08:40 +0100 | [diff] [blame] | 114 | if(!device_supports_extension(CLKernelLibrary::get().get_device(), "cl_arm_import_memory_host")) |
Georgios Pinitas | 4d0351c | 2019-04-03 15:11:16 +0100 | [diff] [blame] | 115 | { |
| 116 | return; |
| 117 | } |
| 118 | else |
| 119 | { |
| 120 | const ActivationLayerInfo act_info(ActivationLayerInfo::ActivationFunction::RELU); |
| 121 | const TensorShape shape = TensorShape(24U, 16U, 3U); |
| 122 | const DataType data_type = DataType::F32; |
| 123 | |
| 124 | // Create tensor |
| 125 | const TensorInfo info(shape, 1, data_type); |
| 126 | CLTensor tensor; |
| 127 | tensor.allocator()->init(info); |
| 128 | |
| 129 | // Create and configure activation function |
| 130 | CLActivationLayer act_func; |
| 131 | act_func.configure(&tensor, nullptr, act_info); |
| 132 | |
| 133 | // Allocate and import tensor |
| 134 | const size_t total_size_in_elems = tensor.info()->tensor_shape().total_size(); |
| 135 | const size_t total_size_in_bytes = tensor.info()->total_size(); |
| 136 | const size_t alignment = CLKernelLibrary::get().get_device().getInfo<CL_DEVICE_GLOBAL_MEM_CACHELINE_SIZE>(); |
| 137 | size_t space = total_size_in_bytes + alignment; |
| 138 | auto raw_data = support::cpp14::make_unique<uint8_t[]>(space); |
| 139 | |
| 140 | void *aligned_ptr = raw_data.get(); |
| 141 | support::cpp11::align(alignment, total_size_in_bytes, aligned_ptr, space); |
| 142 | |
| 143 | cl::Buffer wrapped_buffer(import_malloc_memory_helper(aligned_ptr, total_size_in_bytes)); |
| 144 | ARM_COMPUTE_EXPECT(bool(tensor.allocator()->import_memory(wrapped_buffer)), framework::LogLevel::ERRORS); |
| 145 | ARM_COMPUTE_EXPECT(!tensor.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 146 | |
| 147 | // Fill tensor |
| 148 | std::uniform_real_distribution<float> distribution(-5.f, 5.f); |
| 149 | std::mt19937 gen(library->seed()); |
| 150 | auto *typed_ptr = reinterpret_cast<float *>(aligned_ptr); |
| 151 | for(unsigned int i = 0; i < total_size_in_elems; ++i) |
| 152 | { |
| 153 | typed_ptr[i] = distribution(gen); |
| 154 | } |
| 155 | |
| 156 | // Execute function and sync |
| 157 | act_func.run(); |
| 158 | CLScheduler::get().sync(); |
| 159 | |
| 160 | // Validate result by checking that the input has no negative values |
| 161 | for(unsigned int i = 0; i < total_size_in_elems; ++i) |
| 162 | { |
| 163 | ARM_COMPUTE_EXPECT(typed_ptr[i] >= 0, framework::LogLevel::ERRORS); |
| 164 | } |
| 165 | |
| 166 | // Release resources |
| 167 | tensor.allocator()->free(); |
| 168 | ARM_COMPUTE_EXPECT(tensor.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 169 | } |
| 170 | } |
| 171 | |
Georgios Pinitas | b8d5b95 | 2019-05-16 14:13:03 +0100 | [diff] [blame] | 172 | #if !defined(BARE_METAL) |
Georgios Pinitas | 4c5469b | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 173 | /** Validates import memory interface when importing memory mapped objects */ |
Georgios Pinitas | b8d5b95 | 2019-05-16 14:13:03 +0100 | [diff] [blame] | 174 | TEST_CASE(ImportMemoryMappedFile, framework::DatasetMode::ALL) |
| 175 | { |
| 176 | // Check if import extension is supported |
| 177 | if(!device_supports_extension(CLKernelLibrary::get().get_device(), "cl_arm_import_memory_host")) |
| 178 | { |
| 179 | return; |
| 180 | } |
| 181 | else |
| 182 | { |
| 183 | const ActivationLayerInfo act_info(ActivationLayerInfo::ActivationFunction::RELU); |
| 184 | const TensorShape shape = TensorShape(24U, 16U, 3U); |
| 185 | const DataType data_type = DataType::F32; |
| 186 | |
| 187 | // Create tensor |
| 188 | const TensorInfo info(shape, 1, data_type); |
| 189 | CLTensor tensor; |
| 190 | tensor.allocator()->init(info); |
| 191 | |
| 192 | // Create and configure activation function |
| 193 | CLActivationLayer act_func; |
| 194 | act_func.configure(&tensor, nullptr, act_info); |
| 195 | |
| 196 | // Get number of elements |
| 197 | const size_t total_size_in_elems = tensor.info()->tensor_shape().total_size(); |
| 198 | const size_t total_size_in_bytes = tensor.info()->total_size(); |
| 199 | |
| 200 | // Create file |
| 201 | std::ofstream output_file("test_mmap_import.bin", std::ios::binary | std::ios::out); |
| 202 | output_file.seekp(total_size_in_bytes - 1); |
| 203 | output_file.write("", 1); |
| 204 | output_file.close(); |
| 205 | |
| 206 | // Map file |
| 207 | utils::mmap_io::MMappedFile mmapped_file("test_mmap_import.bin", 0 /** Whole file */, 0); |
| 208 | ARM_COMPUTE_EXPECT(mmapped_file.is_mapped(), framework::LogLevel::ERRORS); |
| 209 | unsigned char *data = mmapped_file.data(); |
| 210 | |
| 211 | cl::Buffer wrapped_buffer(import_malloc_memory_helper(data, total_size_in_bytes)); |
| 212 | ARM_COMPUTE_EXPECT(bool(tensor.allocator()->import_memory(wrapped_buffer)), framework::LogLevel::ERRORS); |
| 213 | ARM_COMPUTE_EXPECT(!tensor.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 214 | |
| 215 | // Fill tensor |
| 216 | std::uniform_real_distribution<float> distribution(-5.f, 5.f); |
| 217 | std::mt19937 gen(library->seed()); |
| 218 | auto *typed_ptr = reinterpret_cast<float *>(data); |
| 219 | for(unsigned int i = 0; i < total_size_in_elems; ++i) |
| 220 | { |
| 221 | typed_ptr[i] = distribution(gen); |
| 222 | } |
| 223 | |
| 224 | // Execute function and sync |
| 225 | act_func.run(); |
| 226 | CLScheduler::get().sync(); |
| 227 | |
| 228 | // Validate result by checking that the input has no negative values |
| 229 | for(unsigned int i = 0; i < total_size_in_elems; ++i) |
| 230 | { |
| 231 | ARM_COMPUTE_EXPECT(typed_ptr[i] >= 0, framework::LogLevel::ERRORS); |
| 232 | } |
| 233 | |
| 234 | // Release resources |
| 235 | tensor.allocator()->free(); |
| 236 | ARM_COMPUTE_EXPECT(tensor.info()->is_resizable(), framework::LogLevel::ERRORS); |
| 237 | } |
| 238 | } |
| 239 | #endif // !defined(BARE_METAL) |
| 240 | |
Georgios Pinitas | 4c5469b | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 241 | /** Validates symmetric per channel quantization */ |
| 242 | TEST_CASE(Symm8PerChannelQuantizationInfo, framework::DatasetMode::ALL) |
| 243 | { |
| 244 | // Create tensor |
| 245 | CLTensor tensor; |
| 246 | const std::vector<float> scale = { 0.25f, 1.4f, 3.2f, 2.3f, 4.7f }; |
| 247 | const TensorInfo info(TensorShape(32U, 16U), 1, DataType::QSYMM8_PER_CHANNEL, QuantizationInfo(scale)); |
| 248 | tensor.allocator()->init(info); |
| 249 | |
| 250 | // Check quantization information |
| 251 | ARM_COMPUTE_EXPECT(!tensor.info()->quantization_info().empty(), framework::LogLevel::ERRORS); |
Georgios Pinitas | 3d13af8 | 2019-06-04 13:04:16 +0100 | [diff] [blame] | 252 | ARM_COMPUTE_EXPECT(!tensor.info()->quantization_info().scale().empty(), framework::LogLevel::ERRORS); |
| 253 | ARM_COMPUTE_EXPECT(tensor.info()->quantization_info().scale().size() == scale.size(), framework::LogLevel::ERRORS); |
| 254 | ARM_COMPUTE_EXPECT(tensor.info()->quantization_info().offset().empty(), framework::LogLevel::ERRORS); |
Georgios Pinitas | 4c5469b | 2019-05-21 13:32:43 +0100 | [diff] [blame] | 255 | |
| 256 | CLQuantization quantization = tensor.quantization(); |
| 257 | ARM_COMPUTE_ASSERT(quantization.scale != nullptr); |
| 258 | ARM_COMPUTE_ASSERT(quantization.offset != nullptr); |
| 259 | |
| 260 | // Check OpenCL quantization arrays before allocating |
| 261 | ARM_COMPUTE_EXPECT(quantization.scale->max_num_values() == 0, framework::LogLevel::ERRORS); |
| 262 | ARM_COMPUTE_EXPECT(quantization.offset->max_num_values() == 0, framework::LogLevel::ERRORS); |
| 263 | |
| 264 | // Check OpenCL quantization arrays after allocating |
| 265 | tensor.allocator()->allocate(); |
| 266 | ARM_COMPUTE_EXPECT(quantization.scale->max_num_values() == scale.size(), framework::LogLevel::ERRORS); |
| 267 | ARM_COMPUTE_EXPECT(quantization.offset->max_num_values() == 0, framework::LogLevel::ERRORS); |
| 268 | |
| 269 | // Validate that the scale values are the same |
| 270 | auto cl_scale_buffer = quantization.scale->cl_buffer(); |
| 271 | void *mapped_ptr = CLScheduler::get().queue().enqueueMapBuffer(cl_scale_buffer, CL_TRUE, CL_MAP_READ, 0, scale.size()); |
| 272 | auto cl_scale_ptr = static_cast<float *>(mapped_ptr); |
| 273 | for(unsigned int i = 0; i < scale.size(); ++i) |
| 274 | { |
| 275 | ARM_COMPUTE_EXPECT(cl_scale_ptr[i] == scale[i], framework::LogLevel::ERRORS); |
| 276 | } |
| 277 | CLScheduler::get().queue().enqueueUnmapMemObject(cl_scale_buffer, mapped_ptr); |
| 278 | } |
| 279 | |
Georgios Pinitas | 4d0351c | 2019-04-03 15:11:16 +0100 | [diff] [blame] | 280 | TEST_SUITE_END() // TensorAllocator |
| 281 | TEST_SUITE_END() // UNIT |
| 282 | TEST_SUITE_END() // CL |
Georgios Pinitas | 99d4095 | 2018-04-23 16:26:46 +0100 | [diff] [blame] | 283 | } // namespace validation |
| 284 | } // namespace test |
| 285 | } // namespace arm_compute |