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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
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