Aron Virginas-Tar | 69362cc | 2018-11-22 15:04:42 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "JsonPrinterTestImpl.hpp" |
| 7 | |
| 8 | #include <Profiling.hpp> |
| 9 | |
| 10 | #include <armnn/Descriptors.hpp> |
| 11 | #include <armnn/IRuntime.hpp> |
| 12 | #include <armnn/INetwork.hpp> |
| 13 | |
| 14 | #include <boost/algorithm/string.hpp> |
| 15 | #include <boost/lexical_cast.hpp> |
| 16 | #include <boost/test/unit_test.hpp> |
| 17 | |
| 18 | #include <sstream> |
| 19 | #include <stack> |
| 20 | #include <string> |
| 21 | |
| 22 | inline bool AreMatchingPair(const char opening, const char closing) |
| 23 | { |
| 24 | return (opening == '{' && closing == '}') || (opening == '[' && closing == ']'); |
| 25 | } |
| 26 | |
| 27 | bool AreParenthesesMatching(const std::string& exp) |
| 28 | { |
| 29 | std::stack<char> expStack; |
| 30 | for (size_t i = 0; i < exp.length(); ++i) |
| 31 | { |
| 32 | if (exp[i] == '{' || exp[i] == '[') |
| 33 | { |
| 34 | expStack.push(exp[i]); |
| 35 | } |
| 36 | else if (exp[i] == '}' || exp[i] == ']') |
| 37 | { |
| 38 | if (expStack.empty() || !AreMatchingPair(expStack.top(), exp[i])) |
| 39 | { |
| 40 | return false; |
| 41 | } |
| 42 | else |
| 43 | { |
| 44 | expStack.pop(); |
| 45 | } |
| 46 | } |
| 47 | } |
| 48 | return expStack.empty(); |
| 49 | } |
| 50 | |
| 51 | std::vector<double> ExtractMeasurements(const std::string& exp) |
| 52 | { |
| 53 | std::vector<double> numbers; |
| 54 | bool inArray = false; |
| 55 | std::string numberString; |
| 56 | for (size_t i = 0; i < exp.size(); ++i) |
| 57 | { |
| 58 | if (exp[i] == '[') |
| 59 | { |
| 60 | inArray = true; |
| 61 | } |
| 62 | else if (exp[i] == ']' && inArray) |
| 63 | { |
| 64 | try |
| 65 | { |
| 66 | boost::trim_if(numberString, boost::is_any_of("\t,\n")); |
| 67 | numbers.push_back(std::stod(numberString)); |
| 68 | } |
| 69 | catch (std::invalid_argument const& e) |
| 70 | { |
| 71 | BOOST_FAIL("Could not convert measurements to double: " + numberString); |
| 72 | } |
| 73 | |
| 74 | numberString.clear(); |
| 75 | inArray = false; |
| 76 | } |
| 77 | else if (exp[i] == ',' && inArray) |
| 78 | { |
| 79 | try |
| 80 | { |
| 81 | boost::trim_if(numberString, boost::is_any_of("\t,\n")); |
| 82 | numbers.push_back(std::stod(numberString)); |
| 83 | } |
| 84 | catch (std::invalid_argument const& e) |
| 85 | { |
| 86 | BOOST_FAIL("Could not convert measurements to double: " + numberString); |
| 87 | } |
| 88 | numberString.clear(); |
| 89 | } |
| 90 | else if (exp[i] != '[' && inArray && exp[i] != ',' && exp[i] != ' ') |
| 91 | { |
| 92 | numberString += exp[i]; |
| 93 | } |
| 94 | } |
| 95 | return numbers; |
| 96 | } |
| 97 | |
| 98 | std::vector<std::string> ExtractSections(const std::string& exp) |
| 99 | { |
| 100 | std::vector<std::string> sections; |
| 101 | |
| 102 | std::stack<size_t> s; |
| 103 | for (size_t i = 0; i < exp.size(); i++) |
| 104 | { |
| 105 | if (exp.at(i) == '{') |
| 106 | { |
| 107 | s.push(i); |
| 108 | } |
| 109 | else if (exp.at(i) == '}') |
| 110 | { |
| 111 | size_t from = s.top(); |
| 112 | s.pop(); |
| 113 | sections.push_back(exp.substr(from, i - from + 1)); |
| 114 | } |
| 115 | } |
| 116 | |
| 117 | return sections; |
| 118 | } |
| 119 | |
| 120 | std::string GetSoftmaxProfilerJson(const std::vector<armnn::BackendId>& backends) |
| 121 | { |
| 122 | using namespace armnn; |
| 123 | |
| 124 | BOOST_CHECK(!backends.empty()); |
| 125 | |
| 126 | ProfilerManager& profilerManager = armnn::ProfilerManager::GetInstance(); |
| 127 | |
| 128 | // Create runtime in which test will run |
| 129 | IRuntime::CreationOptions options; |
| 130 | options.m_EnableGpuProfiling = backends.front() == armnn::Compute::GpuAcc; |
| 131 | IRuntimePtr runtime(IRuntime::Create(options)); |
| 132 | |
| 133 | // build up the structure of the network |
| 134 | INetworkPtr net(INetwork::Create()); |
| 135 | |
| 136 | IConnectableLayer* input = net->AddInputLayer(0, "input"); |
Francis Murtagh | 3b93835 | 2019-07-26 15:44:17 +0100 | [diff] [blame] | 137 | SoftmaxDescriptor softmaxDescriptor; |
| 138 | // Set Axis to 1 if CL or Neon until further Axes are supported. |
| 139 | if ( backends.front() == armnn::Compute::CpuAcc || backends.front() == armnn::Compute::GpuAcc) |
| 140 | { |
| 141 | softmaxDescriptor.m_Axis = 1; |
| 142 | } |
| 143 | IConnectableLayer* softmax = net->AddSoftmaxLayer(softmaxDescriptor, "softmax"); |
Aron Virginas-Tar | 69362cc | 2018-11-22 15:04:42 +0000 | [diff] [blame] | 144 | IConnectableLayer* output = net->AddOutputLayer(0, "output"); |
| 145 | |
| 146 | input->GetOutputSlot(0).Connect(softmax->GetInputSlot(0)); |
| 147 | softmax->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 148 | |
| 149 | // set the tensors in the network |
| 150 | TensorInfo inputTensorInfo(TensorShape({1, 5}), DataType::QuantisedAsymm8); |
| 151 | inputTensorInfo.SetQuantizationOffset(100); |
| 152 | inputTensorInfo.SetQuantizationScale(10000.0f); |
| 153 | input->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 154 | |
| 155 | TensorInfo outputTensorInfo(TensorShape({1, 5}), DataType::QuantisedAsymm8); |
| 156 | outputTensorInfo.SetQuantizationOffset(0); |
| 157 | outputTensorInfo.SetQuantizationScale(1.0f / 256.0f); |
| 158 | softmax->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 159 | |
| 160 | // optimize the network |
| 161 | IOptimizedNetworkPtr optNet = Optimize(*net, backends, runtime->GetDeviceSpec()); |
| 162 | if(!optNet) |
| 163 | { |
| 164 | BOOST_FAIL("Error occurred during Optimization, Optimize() returned nullptr."); |
| 165 | } |
| 166 | // load it into the runtime |
| 167 | NetworkId netId; |
| 168 | auto error = runtime->LoadNetwork(netId, std::move(optNet)); |
| 169 | BOOST_TEST(error == Status::Success); |
| 170 | |
| 171 | // create structures for input & output |
| 172 | std::vector<uint8_t> inputData |
| 173 | { |
| 174 | 1, 10, 3, 200, 5 |
| 175 | // one of inputs is sufficiently larger than the others to saturate softmax |
| 176 | }; |
| 177 | std::vector<uint8_t> outputData(5); |
| 178 | |
| 179 | armnn::InputTensors inputTensors |
| 180 | { |
| 181 | {0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData.data())} |
| 182 | }; |
| 183 | armnn::OutputTensors outputTensors |
| 184 | { |
| 185 | {0, armnn::Tensor(runtime->GetOutputTensorInfo(netId, 0), outputData.data())} |
| 186 | }; |
| 187 | |
| 188 | runtime->GetProfiler(netId)->EnableProfiling(true); |
| 189 | |
| 190 | // do the inferences |
| 191 | runtime->EnqueueWorkload(netId, inputTensors, outputTensors); |
| 192 | runtime->EnqueueWorkload(netId, inputTensors, outputTensors); |
| 193 | runtime->EnqueueWorkload(netId, inputTensors, outputTensors); |
| 194 | |
| 195 | // retrieve the Profiler.Print() output |
| 196 | std::stringstream ss; |
| 197 | profilerManager.GetProfiler()->Print(ss); |
| 198 | |
| 199 | return ss.str(); |
| 200 | } |
| 201 | |
Derek Lamberti | 6b4dfc2 | 2019-08-07 17:01:57 +0100 | [diff] [blame] | 202 | inline void ValidateProfilerJson(std::string& result) |
Aron Virginas-Tar | 69362cc | 2018-11-22 15:04:42 +0000 | [diff] [blame] | 203 | { |
| 204 | // ensure all measurements are greater than zero |
| 205 | std::vector<double> measurementsVector = ExtractMeasurements(result); |
| 206 | BOOST_CHECK(!measurementsVector.empty()); |
| 207 | |
| 208 | // check sections contain raw and unit tags |
| 209 | // first ensure Parenthesis are balanced |
| 210 | if (AreParenthesesMatching(result)) |
| 211 | { |
| 212 | // remove parent sections that will not have raw or unit tag |
| 213 | std::vector<std::string> sectionVector = ExtractSections(result); |
| 214 | for (size_t i = 0; i < sectionVector.size(); ++i) |
| 215 | { |
| 216 | if (boost::contains(sectionVector[i], "\"ArmNN\":") |
| 217 | || boost::contains(sectionVector[i], "\"inference_measurements\":")) |
| 218 | { |
| 219 | sectionVector.erase(sectionVector.begin() + static_cast<int>(i)); |
| 220 | } |
| 221 | } |
| 222 | BOOST_CHECK(!sectionVector.empty()); |
| 223 | |
| 224 | BOOST_CHECK(std::all_of(sectionVector.begin(), sectionVector.end(), |
| 225 | [](std::string i) { return boost::contains(i, "\"raw\":"); })); |
| 226 | |
| 227 | BOOST_CHECK(std::all_of(sectionVector.begin(), sectionVector.end(), |
| 228 | [](std::string i) { return boost::contains(i, "\"unit\":"); })); |
| 229 | } |
| 230 | |
| 231 | // remove the time measurements as they vary from test to test |
| 232 | result.erase(std::remove_if (result.begin(),result.end(), |
| 233 | [](char c) { return c == '.'; }), result.end()); |
| 234 | result.erase(std::remove_if (result.begin(), result.end(), &isdigit), result.end()); |
| 235 | result.erase(std::remove_if (result.begin(),result.end(), |
| 236 | [](char c) { return c == '\t'; }), result.end()); |
| 237 | |
| 238 | BOOST_CHECK(boost::contains(result, "ArmNN")); |
| 239 | BOOST_CHECK(boost::contains(result, "inference_measurements")); |
Aron Virginas-Tar | 69362cc | 2018-11-22 15:04:42 +0000 | [diff] [blame] | 240 | |
| 241 | // ensure no spare parenthesis present in print output |
| 242 | BOOST_CHECK(AreParenthesesMatching(result)); |
| 243 | } |
| 244 | |
| 245 | void RunSoftmaxProfilerJsonPrinterTest(const std::vector<armnn::BackendId>& backends) |
| 246 | { |
| 247 | // setup the test fixture and obtain JSON Printer result |
| 248 | std::string result = GetSoftmaxProfilerJson(backends); |
| 249 | |
Derek Lamberti | 6b4dfc2 | 2019-08-07 17:01:57 +0100 | [diff] [blame] | 250 | // validate the JSON Printer result |
| 251 | ValidateProfilerJson(result); |
Aron Virginas-Tar | 69362cc | 2018-11-22 15:04:42 +0000 | [diff] [blame] | 252 | |
| 253 | const armnn::BackendId& firstBackend = backends.at(0); |
| 254 | if (firstBackend == armnn::Compute::GpuAcc) |
| 255 | { |
Derek Lamberti | 6b4dfc2 | 2019-08-07 17:01:57 +0100 | [diff] [blame] | 256 | BOOST_CHECK(boost::contains(result, |
| 257 | "OpenClKernelTimer/: softmax_layer_max_shift_exp_sum_quantized_serial GWS[,,]")); |
Aron Virginas-Tar | 69362cc | 2018-11-22 15:04:42 +0000 | [diff] [blame] | 258 | } |
| 259 | else if (firstBackend == armnn::Compute::CpuAcc) |
| 260 | { |
Derek Lamberti | 6b4dfc2 | 2019-08-07 17:01:57 +0100 | [diff] [blame] | 261 | BOOST_CHECK(boost::contains(result, |
| 262 | "NeonKernelTimer/: NEFillBorderKernel")); |
Aron Virginas-Tar | 69362cc | 2018-11-22 15:04:42 +0000 | [diff] [blame] | 263 | } |
Aron Virginas-Tar | 69362cc | 2018-11-22 15:04:42 +0000 | [diff] [blame] | 264 | } |