1 /* 2 * Copyright (C) 2017 The Android Open Source Project 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 17 /* Header-only library for various helpers of test harness 18 * See frameworks/ml/nn/runtime/test/TestGenerated.cpp for how this is used. 19 */ 20 #ifndef ANDROID_ML_NN_TOOLS_TEST_GENERATOR_TEST_HARNESS_H 21 #define ANDROID_ML_NN_TOOLS_TEST_GENERATOR_TEST_HARNESS_H 22 23 #include <gtest/gtest.h> 24 25 #include <cmath> 26 #include <functional> 27 #include <map> 28 #include <tuple> 29 #include <vector> 30 31 namespace test_helper { 32 33 constexpr const size_t gMaximumNumberOfErrorMessages = 10; 34 35 typedef std::map<int, std::vector<float>> Float32Operands; 36 typedef std::map<int, std::vector<int32_t>> Int32Operands; 37 typedef std::map<int, std::vector<uint8_t>> Quant8Operands; 38 typedef std::tuple<Float32Operands, // ANEURALNETWORKS_TENSOR_FLOAT32 39 Int32Operands, // ANEURALNETWORKS_TENSOR_INT32 40 Quant8Operands // ANEURALNETWORKS_TENSOR_QUANT8_ASYMM 41 > 42 MixedTyped; 43 typedef std::pair<MixedTyped, MixedTyped> MixedTypedExampleType; 44 45 template <typename T> 46 struct MixedTypedIndex {}; 47 48 template <> 49 struct MixedTypedIndex<float> { 50 static constexpr size_t index = 0; 51 }; 52 template <> 53 struct MixedTypedIndex<int32_t> { 54 static constexpr size_t index = 1; 55 }; 56 template <> 57 struct MixedTypedIndex<uint8_t> { 58 static constexpr size_t index = 2; 59 }; 60 61 // Go through all index-value pairs of a given input type 62 template <typename T> 63 inline void for_each(const MixedTyped& idx_and_data, 64 std::function<void(int, const std::vector<T>&)> execute) { 65 for (auto& i : std::get<MixedTypedIndex<T>::index>(idx_and_data)) { 66 execute(i.first, i.second); 67 } 68 } 69 70 // non-const variant of for_each 71 template <typename T> 72 inline void for_each(MixedTyped& idx_and_data, 73 std::function<void(int, std::vector<T>&)> execute) { 74 for (auto& i : std::get<MixedTypedIndex<T>::index>(idx_and_data)) { 75 execute(i.first, i.second); 76 } 77 } 78 79 // internal helper for for_all 80 template <typename T> 81 inline void for_all_internal( 82 MixedTyped& idx_and_data, 83 std::function<void(int, void*, size_t)> execute_this) { 84 for_each<T>(idx_and_data, [&execute_this](int idx, std::vector<T>& m) { 85 execute_this(idx, static_cast<void*>(m.data()), m.size() * sizeof(T)); 86 }); 87 } 88 89 // Go through all index-value pairs of all input types 90 // expects a functor that takes (int index, void *raw data, size_t sz) 91 inline void for_all(MixedTyped& idx_and_data, 92 std::function<void(int, void*, size_t)> execute_this) { 93 for_all_internal<float>(idx_and_data, execute_this); 94 for_all_internal<int32_t>(idx_and_data, execute_this); 95 for_all_internal<uint8_t>(idx_and_data, execute_this); 96 } 97 98 // Const variant of internal helper for for_all 99 template <typename T> 100 inline void for_all_internal( 101 const MixedTyped& idx_and_data, 102 std::function<void(int, const void*, size_t)> execute_this) { 103 for_each<T>(idx_and_data, [&execute_this](int idx, const std::vector<T>& m) { 104 execute_this(idx, static_cast<const void*>(m.data()), m.size() * sizeof(T)); 105 }); 106 } 107 108 // Go through all index-value pairs (const variant) 109 // expects a functor that takes (int index, const void *raw data, size_t sz) 110 inline void for_all( 111 const MixedTyped& idx_and_data, 112 std::function<void(int, const void*, size_t)> execute_this) { 113 for_all_internal<float>(idx_and_data, execute_this); 114 for_all_internal<int32_t>(idx_and_data, execute_this); 115 for_all_internal<uint8_t>(idx_and_data, execute_this); 116 } 117 118 // Helper template - resize test output per golden 119 template <typename ty, size_t tuple_index> 120 void resize_accordingly_(const MixedTyped& golden, MixedTyped& test) { 121 std::function<void(int, const std::vector<ty>&)> execute = 122 [&test](int index, const std::vector<ty>& m) { 123 auto& t = std::get<tuple_index>(test); 124 t[index].resize(m.size()); 125 }; 126 for_each<ty>(golden, execute); 127 } 128 129 inline void resize_accordingly(const MixedTyped& golden, MixedTyped& test) { 130 resize_accordingly_<float, 0>(golden, test); 131 resize_accordingly_<int32_t, 1>(golden, test); 132 resize_accordingly_<uint8_t, 2>(golden, test); 133 } 134 135 template <typename ty, size_t tuple_index> 136 void filter_internal(const MixedTyped& golden, MixedTyped* filtered, 137 std::function<bool(int)> is_ignored) { 138 for_each<ty>(golden, 139 [filtered, &is_ignored](int index, const std::vector<ty>& m) { 140 auto& g = std::get<tuple_index>(*filtered); 141 if (!is_ignored(index)) g[index] = m; 142 }); 143 } 144 145 inline MixedTyped filter(const MixedTyped& golden, 146 std::function<bool(int)> is_ignored) { 147 MixedTyped filtered; 148 filter_internal<float, 0>(golden, &filtered, is_ignored); 149 filter_internal<int32_t, 1>(golden, &filtered, is_ignored); 150 filter_internal<uint8_t, 2>(golden, &filtered, is_ignored); 151 return filtered; 152 } 153 154 // Compare results 155 #define VECTOR_TYPE(x) \ 156 typename std::tuple_element<x, MixedTyped>::type::mapped_type 157 #define VALUE_TYPE(x) VECTOR_TYPE(x)::value_type 158 template <size_t tuple_index> 159 void compare_( 160 const MixedTyped& golden, const MixedTyped& test, 161 std::function<void(VALUE_TYPE(tuple_index), VALUE_TYPE(tuple_index))> 162 cmp) { 163 for_each<VALUE_TYPE(tuple_index)>( 164 golden, 165 [&test, &cmp](int index, const VECTOR_TYPE(tuple_index) & m) { 166 const auto& test_operands = std::get<tuple_index>(test); 167 const auto& test_ty = test_operands.find(index); 168 ASSERT_NE(test_ty, test_operands.end()); 169 for (unsigned int i = 0; i < m.size(); i++) { 170 SCOPED_TRACE(testing::Message() 171 << "When comparing element " << i); 172 cmp(m[i], test_ty->second[i]); 173 } 174 }); 175 } 176 #undef VALUE_TYPE 177 #undef VECTOR_TYPE 178 inline void compare(const MixedTyped& golden, const MixedTyped& test, float fpRange = 1e-5f) { 179 size_t totalNumberOfErrors = 0; 180 compare_<0>(golden, test, [&totalNumberOfErrors, fpRange](float g, float t) { 181 if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { 182 EXPECT_NEAR(g, t, fpRange); 183 } 184 if (std::abs(g - t) > fpRange) { 185 totalNumberOfErrors++; 186 } 187 }); 188 compare_<1>(golden, test, [&totalNumberOfErrors](int32_t g, int32_t t) { 189 if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { 190 EXPECT_EQ(g, t); 191 } 192 if (g != t) { 193 totalNumberOfErrors++; 194 } 195 }); 196 compare_<2>(golden, test, [&totalNumberOfErrors](uint8_t g, uint8_t t) { 197 if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) { 198 EXPECT_NEAR(g, t, 1); 199 } 200 if (std::abs(g - t) > 1) { 201 totalNumberOfErrors++; 202 } 203 }); 204 EXPECT_EQ(size_t{0}, totalNumberOfErrors); 205 } 206 207 }; // namespace test_helper 208 209 #endif // ANDROID_ML_NN_TOOLS_TEST_GENERATOR_TEST_HARNESS_H 210
