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diff --git a/externals/nnapi_test_generator/include/TestHarness.h b/externals/nnapi_test_generator/include/TestHarness.h
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-/*
- * Copyright (C) 2017 The Android Open Source Project
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-/* Header-only library for various helpers of test harness
- * See frameworks/ml/nn/runtime/test/TestGenerated.cpp for how this is used.
- */
-#ifndef ANDROID_ML_NN_TOOLS_TEST_GENERATOR_TEST_HARNESS_H
-#define ANDROID_ML_NN_TOOLS_TEST_GENERATOR_TEST_HARNESS_H
-
-#include <gtest/gtest.h>
-
-#include <cmath>
-#include <functional>
-#include <map>
-#include <tuple>
-#include <vector>
-
-namespace generated_tests {
-
-constexpr const size_t gMaximumNumberOfErrorMessages = 10;
-
-typedef std::map<int, std::vector<float>> Float32Operands;
-typedef std::map<int, std::vector<int32_t>> Int32Operands;
-typedef std::map<int, std::vector<uint8_t>> Quant8Operands;
-typedef std::tuple<Float32Operands, // ANEURALNETWORKS_TENSOR_FLOAT32
- Int32Operands, // ANEURALNETWORKS_TENSOR_INT32
- Quant8Operands // ANEURALNETWORKS_TENSOR_QUANT8_ASYMM
- >
- MixedTyped;
-typedef std::pair<MixedTyped, MixedTyped> MixedTypedExampleType;
-
-template <typename T>
-struct MixedTypedIndex {};
-
-template <>
-struct MixedTypedIndex<float> {
- static constexpr size_t index = 0;
-};
-template <>
-struct MixedTypedIndex<int32_t> {
- static constexpr size_t index = 1;
-};
-template <>
-struct MixedTypedIndex<uint8_t> {
- static constexpr size_t index = 2;
-};
-
-// Go through all index-value pairs of a given input type
-template <typename T>
-inline void for_each(const MixedTyped& idx_and_data,
- std::function<void(int, const std::vector<T>&)> execute) {
- for (auto& i : std::get<MixedTypedIndex<T>::index>(idx_and_data)) {
- execute(i.first, i.second);
- }
-}
-
-// non-const variant of for_each
-template <typename T>
-inline void for_each(MixedTyped& idx_and_data,
- std::function<void(int, std::vector<T>&)> execute) {
- for (auto& i : std::get<MixedTypedIndex<T>::index>(idx_and_data)) {
- execute(i.first, i.second);
- }
-}
-
-// internal helper for for_all
-template <typename T>
-inline void for_all_internal(
- MixedTyped& idx_and_data,
- std::function<void(int, void*, size_t)> execute_this) {
- for_each<T>(idx_and_data, [&execute_this](int idx, std::vector<T>& m) {
- execute_this(idx, static_cast<void*>(m.data()), m.size() * sizeof(T));
- });
-}
-
-// Go through all index-value pairs of all input types
-// expects a functor that takes (int index, void *raw data, size_t sz)
-inline void for_all(MixedTyped& idx_and_data,
- std::function<void(int, void*, size_t)> execute_this) {
- for_all_internal<float>(idx_and_data, execute_this);
- for_all_internal<int32_t>(idx_and_data, execute_this);
- for_all_internal<uint8_t>(idx_and_data, execute_this);
-}
-
-// Const variant of internal helper for for_all
-template <typename T>
-inline void for_all_internal(
- const MixedTyped& idx_and_data,
- std::function<void(int, const void*, size_t)> execute_this) {
- for_each<T>(idx_and_data, [&execute_this](int idx, const std::vector<T>& m) {
- execute_this(idx, static_cast<const void*>(m.data()), m.size() * sizeof(T));
- });
-}
-
-// Go through all index-value pairs (const variant)
-// expects a functor that takes (int index, const void *raw data, size_t sz)
-inline void for_all(
- const MixedTyped& idx_and_data,
- std::function<void(int, const void*, size_t)> execute_this) {
- for_all_internal<float>(idx_and_data, execute_this);
- for_all_internal<int32_t>(idx_and_data, execute_this);
- for_all_internal<uint8_t>(idx_and_data, execute_this);
-}
-
-// Helper template - resize test output per golden
-template <typename ty, size_t tuple_index>
-void resize_accordingly_(const MixedTyped& golden, MixedTyped& test) {
- std::function<void(int, const std::vector<ty>&)> execute =
- [&test](int index, const std::vector<ty>& m) {
- auto& t = std::get<tuple_index>(test);
- t[index].resize(m.size());
- };
- for_each<ty>(golden, execute);
-}
-
-inline void resize_accordingly(const MixedTyped& golden, MixedTyped& test) {
- resize_accordingly_<float, 0>(golden, test);
- resize_accordingly_<int32_t, 1>(golden, test);
- resize_accordingly_<uint8_t, 2>(golden, test);
-}
-
-template <typename ty, size_t tuple_index>
-void filter_internal(const MixedTyped& golden, MixedTyped* filtered,
- std::function<bool(int)> is_ignored) {
- for_each<ty>(golden,
- [filtered, &is_ignored](int index, const std::vector<ty>& m) {
- auto& g = std::get<tuple_index>(*filtered);
- if (!is_ignored(index)) g[index] = m;
- });
-}
-
-inline MixedTyped filter(const MixedTyped& golden,
- std::function<bool(int)> is_ignored) {
- MixedTyped filtered;
- filter_internal<float, 0>(golden, &filtered, is_ignored);
- filter_internal<int32_t, 1>(golden, &filtered, is_ignored);
- filter_internal<uint8_t, 2>(golden, &filtered, is_ignored);
- return filtered;
-}
-
-// Compare results
-#define VECTOR_TYPE(x) \
- typename std::tuple_element<x, MixedTyped>::type::mapped_type
-#define VALUE_TYPE(x) VECTOR_TYPE(x)::value_type
-template <size_t tuple_index>
-void compare_(
- const MixedTyped& golden, const MixedTyped& test,
- std::function<void(VALUE_TYPE(tuple_index), VALUE_TYPE(tuple_index))>
- cmp) {
- for_each<VALUE_TYPE(tuple_index)>(
- golden,
- [&test, &cmp](int index, const VECTOR_TYPE(tuple_index) & m) {
- const auto& test_operands = std::get<tuple_index>(test);
- const auto& test_ty = test_operands.find(index);
- ASSERT_NE(test_ty, test_operands.end());
- for (unsigned int i = 0; i < m.size(); i++) {
- SCOPED_TRACE(testing::Message()
- << "When comparing element " << i);
- cmp(m[i], test_ty->second[i]);
- }
- });
-}
-#undef VALUE_TYPE
-#undef VECTOR_TYPE
-inline void compare(const MixedTyped& golden, const MixedTyped& test, float fpRange = 1e-5f) {
- size_t totalNumberOfErrors = 0;
- compare_<0>(golden, test, [&totalNumberOfErrors, fpRange](float g, float t) {
- if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) {
- EXPECT_NEAR(g, t, fpRange);
- }
- if (std::abs(g - t) > fpRange) {
- totalNumberOfErrors++;
- }
- });
- compare_<1>(golden, test, [&totalNumberOfErrors](int32_t g, int32_t t) {
- if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) {
- EXPECT_EQ(g, t);
- }
- if (g != t) {
- totalNumberOfErrors++;
- }
- });
- compare_<2>(golden, test, [&totalNumberOfErrors](uint8_t g, uint8_t t) {
- if (totalNumberOfErrors < gMaximumNumberOfErrorMessages) {
- EXPECT_NEAR(g, t, 1);
- }
- if (std::abs(g - t) > 1) {
- totalNumberOfErrors++;
- }
- });
- EXPECT_EQ(size_t{0}, totalNumberOfErrors);
-}
-
-}; // namespace generated_tests
-
-#endif // ANDROID_ML_NN_TOOLS_TEST_GENERATOR_TEST_HARNESS_H