telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 4 | // |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 5 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 6 | #include <Profiling.hpp> |
| 7 | |
David Beck | ac42efd | 2018-09-26 17:41:13 +0100 | [diff] [blame] | 8 | #include <armnn/Descriptors.hpp> |
| 9 | #include <armnn/IRuntime.hpp> |
| 10 | #include <armnn/INetwork.hpp> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 11 | |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 12 | #include <boost/test/unit_test.hpp> |
| 13 | #include <boost/algorithm/string.hpp> |
| 14 | #include <boost/lexical_cast.hpp> |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 15 | |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 16 | #include <sstream> |
| 17 | #include <stack> |
| 18 | #include <string> |
| 19 | #include <vector> |
| 20 | |
| 21 | inline bool AreMatchingPair(const char opening, const char closing) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 22 | { |
| 23 | return (opening == '{' && closing == '}') || (opening == '[' && closing == ']'); |
| 24 | } |
| 25 | |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 26 | inline bool AreParenthesesMatching(const std::string& exp) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 27 | { |
| 28 | std::stack<char> expStack; |
| 29 | for (size_t i = 0; i < exp.length(); ++i) |
| 30 | { |
| 31 | if (exp[i] == '{' || exp[i] == '[') |
| 32 | { |
| 33 | expStack.push(exp[i]); |
| 34 | } |
| 35 | else if (exp[i] == '}' || exp[i] == ']') |
| 36 | { |
| 37 | if (expStack.empty() || !AreMatchingPair(expStack.top(), exp[i])) |
| 38 | { |
| 39 | return false; |
| 40 | } |
| 41 | else |
| 42 | { |
| 43 | expStack.pop(); |
| 44 | } |
| 45 | } |
| 46 | } |
| 47 | return expStack.empty(); |
| 48 | } |
| 49 | |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 50 | inline std::vector<double> ExtractMeasurements(const std::string& exp) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 51 | { |
| 52 | std::vector<double> numbers; |
| 53 | bool inArray = false; |
| 54 | std::string numberString; |
| 55 | for (size_t i = 0; i < exp.size(); ++i) |
| 56 | { |
| 57 | if (exp[i] == '[') |
| 58 | { |
| 59 | inArray = true; |
| 60 | } |
| 61 | else if (exp[i] == ']' && inArray) |
| 62 | { |
| 63 | try |
| 64 | { |
| 65 | boost::trim_if(numberString, boost::is_any_of("\t,\n")); |
| 66 | numbers.push_back(std::stod(numberString)); |
| 67 | } |
| 68 | catch (std::invalid_argument const& e) |
| 69 | { |
| 70 | BOOST_FAIL("Could not convert measurements to double: " + numberString); |
| 71 | } |
| 72 | |
| 73 | numberString.clear(); |
| 74 | inArray = false; |
| 75 | } |
| 76 | else if (exp[i] == ',' && inArray) |
| 77 | { |
| 78 | try |
| 79 | { |
| 80 | boost::trim_if(numberString, boost::is_any_of("\t,\n")); |
| 81 | numbers.push_back(std::stod(numberString)); |
| 82 | } |
| 83 | catch (std::invalid_argument const& e) |
| 84 | { |
| 85 | BOOST_FAIL("Could not convert measurements to double: " + numberString); |
| 86 | } |
| 87 | numberString.clear(); |
| 88 | } |
| 89 | else if (exp[i] != '[' && inArray && exp[i] != ',' && exp[i] != ' ') |
| 90 | { |
| 91 | numberString += exp[i]; |
| 92 | } |
| 93 | } |
| 94 | return numbers; |
| 95 | } |
| 96 | |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 97 | inline std::vector<std::string> ExtractSections(const std::string& exp) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 98 | { |
| 99 | std::vector<std::string> sections; |
| 100 | |
| 101 | std::stack<size_t> s; |
| 102 | for (size_t i = 0; i < exp.size(); i++) |
| 103 | { |
| 104 | if (exp.at(i) == '{') |
| 105 | { |
| 106 | s.push(i); |
| 107 | } |
| 108 | else if (exp.at(i) == '}') |
| 109 | { |
| 110 | size_t from = s.top(); |
| 111 | s.pop(); |
| 112 | sections.push_back(exp.substr(from, i - from + 1)); |
| 113 | } |
| 114 | } |
| 115 | |
| 116 | return sections; |
| 117 | } |
| 118 | |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 119 | inline std::string SoftmaxProfilerTestSetupHelper(const std::vector<armnn::BackendId>& backends) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 120 | { |
| 121 | using namespace armnn; |
| 122 | |
| 123 | BOOST_CHECK(!backends.empty()); |
| 124 | |
| 125 | ProfilerManager& profilerManager = armnn::ProfilerManager::GetInstance(); |
| 126 | |
| 127 | // Create runtime in which test will run |
| 128 | IRuntime::CreationOptions options; |
| 129 | options.m_EnableGpuProfiling = backends.front() == armnn::Compute::GpuAcc; |
| 130 | IRuntimePtr runtime(IRuntime::Create(options)); |
| 131 | |
| 132 | // build up the structure of the network |
| 133 | INetworkPtr net(INetwork::Create()); |
| 134 | |
| 135 | IConnectableLayer* input = net->AddInputLayer(0, "input"); |
| 136 | IConnectableLayer* softmax = net->AddSoftmaxLayer(SoftmaxDescriptor(), "softmax"); |
| 137 | IConnectableLayer* output = net->AddOutputLayer(0, "output"); |
| 138 | |
| 139 | input->GetOutputSlot(0).Connect(softmax->GetInputSlot(0)); |
| 140 | softmax->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 141 | |
| 142 | // set the tensors in the network |
| 143 | TensorInfo inputTensorInfo(TensorShape({1, 5}), DataType::QuantisedAsymm8); |
| 144 | inputTensorInfo.SetQuantizationOffset(100); |
| 145 | inputTensorInfo.SetQuantizationScale(10000.0f); |
| 146 | input->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 147 | |
| 148 | TensorInfo outputTensorInfo(TensorShape({1, 5}), DataType::QuantisedAsymm8); |
| 149 | outputTensorInfo.SetQuantizationOffset(0); |
| 150 | outputTensorInfo.SetQuantizationScale(1.0f / 256.0f); |
| 151 | softmax->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 152 | |
| 153 | // optimize the network |
| 154 | IOptimizedNetworkPtr optNet = Optimize(*net, backends, runtime->GetDeviceSpec()); |
| 155 | if(!optNet) |
| 156 | { |
| 157 | BOOST_FAIL("Error occurred during Optimization, Optimize() returned nullptr."); |
| 158 | } |
| 159 | // load it into the runtime |
| 160 | NetworkId netId; |
| 161 | auto error = runtime->LoadNetwork(netId, std::move(optNet)); |
| 162 | BOOST_TEST(error == Status::Success); |
| 163 | |
| 164 | // create structures for input & output |
| 165 | std::vector<uint8_t> inputData |
| 166 | { |
| 167 | 1, 10, 3, 200, 5 |
| 168 | // one of inputs is sufficiently larger than the others to saturate softmax |
| 169 | }; |
| 170 | std::vector<uint8_t> outputData(5); |
| 171 | |
| 172 | armnn::InputTensors inputTensors |
| 173 | { |
| 174 | {0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData.data())} |
| 175 | }; |
| 176 | armnn::OutputTensors outputTensors |
| 177 | { |
| 178 | {0, armnn::Tensor(runtime->GetOutputTensorInfo(netId, 0), outputData.data())} |
| 179 | }; |
| 180 | |
| 181 | runtime->GetProfiler(netId)->EnableProfiling(true); |
| 182 | |
| 183 | // do the inferences |
| 184 | runtime->EnqueueWorkload(netId, inputTensors, outputTensors); |
| 185 | runtime->EnqueueWorkload(netId, inputTensors, outputTensors); |
| 186 | runtime->EnqueueWorkload(netId, inputTensors, outputTensors); |
| 187 | |
| 188 | // retrieve the Profiler.Print() output |
| 189 | std::stringstream ss; |
| 190 | profilerManager.GetProfiler()->Print(ss); |
| 191 | |
| 192 | return ss.str(); |
| 193 | } |
| 194 | |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 195 | inline void SoftmaxProfilerTestValidationHelper(std::string& result, const std::string& testData) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 196 | { |
| 197 | // ensure all measurements are greater than zero |
| 198 | std::vector<double> measurementsVector = ExtractMeasurements(result); |
| 199 | BOOST_CHECK(!measurementsVector.empty()); |
| 200 | |
| 201 | // check sections contain raw and unit tags |
| 202 | // first ensure Parenthesis are balanced |
| 203 | if (AreParenthesesMatching(result)) |
| 204 | { |
| 205 | // remove parent sections that will not have raw or unit tag |
| 206 | std::vector<std::string> sectionVector = ExtractSections(result); |
| 207 | for (size_t i = 0; i < sectionVector.size(); ++i) |
| 208 | { |
| 209 | if (boost::contains(sectionVector[i], "\"ArmNN\":") |
| 210 | || boost::contains(sectionVector[i], "\"inference_measurements\":")) |
| 211 | { |
| 212 | sectionVector.erase(sectionVector.begin() + static_cast<int>(i)); |
| 213 | } |
| 214 | } |
| 215 | BOOST_CHECK(!sectionVector.empty()); |
| 216 | |
| 217 | BOOST_CHECK(std::all_of(sectionVector.begin(), sectionVector.end(), |
| 218 | [](std::string i) { return boost::contains(i, "\"raw\":"); })); |
| 219 | |
| 220 | BOOST_CHECK(std::all_of(sectionVector.begin(), sectionVector.end(), |
| 221 | [](std::string i) { return boost::contains(i, "\"unit\":"); })); |
| 222 | } |
| 223 | |
| 224 | // remove the time measurements as they vary from test to test |
| 225 | result.erase(std::remove_if (result.begin(),result.end(), |
| 226 | [](char c) { return c == '.'; }), result.end()); |
| 227 | result.erase(std::remove_if (result.begin(), result.end(), &isdigit), result.end()); |
| 228 | result.erase(std::remove_if (result.begin(),result.end(), |
| 229 | [](char c) { return c == '\t'; }), result.end()); |
| 230 | |
| 231 | BOOST_CHECK(boost::contains(result, "ArmNN")); |
| 232 | BOOST_CHECK(boost::contains(result, "inference_measurements")); |
| 233 | BOOST_CHECK(boost::contains(result, "layer_measurements")); |
| 234 | BOOST_CHECK_EQUAL(result, testData); |
| 235 | |
| 236 | // ensure no spare parenthesis present in print output |
| 237 | BOOST_CHECK(AreParenthesesMatching(result)); |
| 238 | } |
| 239 | |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 240 | inline void SetupSoftmaxProfilerWithSpecifiedBackendsAndValidateJsonPrinterResult( |
David Beck | f0b4845 | 2018-10-19 15:20:56 +0100 | [diff] [blame] | 241 | const std::vector<armnn::BackendId>& backends) |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 242 | { |
| 243 | // setup the test fixture and obtain JSON Printer result |
| 244 | std::string result = SoftmaxProfilerTestSetupHelper(backends); |
| 245 | |
| 246 | std::string backend = "Ref"; |
| 247 | std::string changeLine31 = "\n},\n\"CopyMemGeneric_Execute\": {"; |
Nina Drozd | 2d9dd36 | 2018-09-27 11:53:34 +0100 | [diff] [blame] | 248 | std::string changeLine39 = "us\""; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 249 | std::string changeLine40; |
| 250 | std::string changeLine45; |
| 251 | |
David Beck | f0b4845 | 2018-10-19 15:20:56 +0100 | [diff] [blame] | 252 | if (backends[0] == armnn::Compute::GpuAcc) { |
| 253 | backend = "Cl"; |
| 254 | changeLine31 = ",\n\"OpenClKernelTimer/: softmax_layer_max_shift_exp_sum_quantized_serial GWS[,,]\": {"; |
| 255 | changeLine39 = R"(us" |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 256 | }, |
| 257 | "OpenClKernelTimer/: softmax_layer_norm_quantized GWS[,,]": { |
| 258 | "raw": [ |
| 259 | , |
| 260 | , |
| 261 | |
| 262 | ], |
| 263 | "unit": "us")"; |
| 264 | |
David Beck | f0b4845 | 2018-10-19 15:20:56 +0100 | [diff] [blame] | 265 | changeLine40 = R"( |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 266 | }, |
| 267 | "CopyMemGeneric_Execute": { |
| 268 | "raw": [ |
| 269 | , |
| 270 | , |
| 271 | |
| 272 | ], |
Nina Drozd | 2d9dd36 | 2018-09-27 11:53:34 +0100 | [diff] [blame] | 273 | "unit": "us")"; |
David Beck | f0b4845 | 2018-10-19 15:20:56 +0100 | [diff] [blame] | 274 | changeLine45 = "}\n"; |
| 275 | } |
| 276 | else if (backends[0] == armnn::Compute::CpuAcc) |
| 277 | { |
| 278 | backend = "Neon"; |
| 279 | changeLine31 = ",\n\"NeonKernelTimer/: NEFillBorderKernel\": {"; |
| 280 | changeLine39 = R"(us" |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 281 | }, |
| 282 | "NeonKernelTimer/: NELogitsDMaxKernel": { |
| 283 | "raw": [ |
| 284 | , |
| 285 | , |
| 286 | |
| 287 | ], |
Nina Drozd | 69851b5 | 2018-09-21 18:42:09 +0100 | [diff] [blame] | 288 | "unit": "us" |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 289 | }, |
| 290 | "NeonKernelTimer/: NELogitsDSoftmaxKernel": { |
| 291 | "raw": [ |
| 292 | , |
| 293 | , |
| 294 | |
| 295 | ], |
Nina Drozd | 69851b5 | 2018-09-21 18:42:09 +0100 | [diff] [blame] | 296 | "unit": "us")"; |
David Beck | f0b4845 | 2018-10-19 15:20:56 +0100 | [diff] [blame] | 297 | changeLine40 = R"( |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 298 | }, |
| 299 | "CopyMemGeneric_Execute": { |
| 300 | "raw": [ |
| 301 | , |
| 302 | , |
| 303 | |
| 304 | ], |
Nina Drozd | 2d9dd36 | 2018-09-27 11:53:34 +0100 | [diff] [blame] | 305 | "unit": "us")"; |
David Beck | f0b4845 | 2018-10-19 15:20:56 +0100 | [diff] [blame] | 306 | changeLine45 = "}\n"; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 307 | } |
David Beck | f0b4845 | 2018-10-19 15:20:56 +0100 | [diff] [blame] | 308 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 309 | std::string testData = R"({ |
| 310 | "ArmNN": { |
| 311 | "inference_measurements": { |
| 312 | "raw": [ |
| 313 | , |
| 314 | , |
| 315 | |
| 316 | ], |
Nina Drozd | 2d9dd36 | 2018-09-27 11:53:34 +0100 | [diff] [blame] | 317 | "unit": "us", |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 318 | "layer_measurements": { |
| 319 | "raw": [ |
| 320 | , |
| 321 | , |
| 322 | |
| 323 | ], |
Nina Drozd | 2d9dd36 | 2018-09-27 11:53:34 +0100 | [diff] [blame] | 324 | "unit": "us", |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 325 | "CopyMemGeneric_Execute": { |
| 326 | "raw": [ |
| 327 | , |
| 328 | , |
| 329 | |
| 330 | ], |
Nina Drozd | 2d9dd36 | 2018-09-27 11:53:34 +0100 | [diff] [blame] | 331 | "unit": "us" |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 332 | }, |
| 333 | ")" + backend + R"(SoftmaxUintWorkload_Execute": { |
| 334 | "raw": [ |
| 335 | , |
| 336 | , |
| 337 | |
| 338 | ], |
Nina Drozd | 2d9dd36 | 2018-09-27 11:53:34 +0100 | [diff] [blame] | 339 | "unit": "us")" + changeLine31 + R"( |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 340 | "raw": [ |
| 341 | , |
| 342 | , |
| 343 | |
| 344 | ], |
| 345 | "unit": ")" + changeLine39 + R"( |
| 346 | })" + changeLine40 + R"( |
| 347 | } |
| 348 | } |
| 349 | } |
| 350 | } |
| 351 | )" + changeLine45 + R"()"; |
| 352 | |
| 353 | // validate the JSON Printer result |
| 354 | SoftmaxProfilerTestValidationHelper(result, testData); |
| 355 | } |