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perf(autoware_map_based_prediction autoware_universe_utils): improve …
…performance of map_based_prediction (#1464) * fix(autoware_map_based_prediction): fix argument order (autowarefoundation#8031) fix(autoware_map_based_prediction): fix argument order in call `getFrenetPoint()` Signed-off-by: yucedagonurcan <[email protected]> Co-authored-by: Shintaro Tomie <[email protected]> Co-authored-by: Kotaro Uetake <[email protected]> * perf(map_based_prediction): remove unncessary withinRoadLanelet() (autowarefoundation#8403) Signed-off-by: Mamoru Sobue <[email protected]> * perf(map_based_prediction): create a fence LineString layer and use rtree query (autowarefoundation#8406) use fence layer Signed-off-by: Mamoru Sobue <[email protected]> * perf(map_based_prediction): apply lerp instead of spline (autowarefoundation#8416) perf: apply lerp interpolation instead of spline Signed-off-by: Kotaro Uetake <[email protected]> * perf(autoware_map_based_prediction): improve orientation calculation and resample converted path (autowarefoundation#8427) * refactor: improve orientation calculation and resample converted path with linear interpolation Simplify the calculation of the orientation for each pose in the convertPathType function by directly calculating the sine and cosine of half the yaw angle. This improves efficiency and readability. Also, improve the resampling of the converted path by using linear interpolation for better performance. Signed-off-by: Taekjin LEE <[email protected]> * Update perception/autoware_map_based_prediction/src/map_based_prediction_node.cpp Co-authored-by: Kotaro Uetake <[email protected]> * Update perception/autoware_map_based_prediction/src/map_based_prediction_node.cpp Co-authored-by: Kotaro Uetake <[email protected]> --------- Signed-off-by: Taekjin LEE <[email protected]> Co-authored-by: Shumpei Wakabayashi <[email protected]> Co-authored-by: Kotaro Uetake <[email protected]> * perf(map_based_prediction): improve world to map transform calculation (autowarefoundation#8413) * perf(map_based_prediction): improve world to map transform calculation 1. remove unused transforms 2. make transform loading late as possible Signed-off-by: Taekjin LEE <[email protected]> * perf(map_based_prediction): get transform only when it is necessary Signed-off-by: Taekjin LEE <[email protected]> --------- Signed-off-by: Taekjin LEE <[email protected]> * feat(autoware_universe_utils): add LRU Cache (autowarefoundation#8456) Signed-off-by: Yukinari Hisaki <[email protected]> * perf(autoware_map_based_prediction): speed up map based prediction by using lru cache in convertPathType (autowarefoundation#8461) feat(autoware_map_based_prediction): speed up map based prediction by using lru cache in convertPathType Signed-off-by: Yukinari Hisaki <[email protected]> * fix(autoware_map_based_prediction): use surrounding_crosswalks instead of external_surrounding_crosswalks (autowarefoundation#8467) Signed-off-by: Yukinari Hisaki <[email protected]> --------- Signed-off-by: Mamoru Sobue <[email protected]> Signed-off-by: Kotaro Uetake <[email protected]> Signed-off-by: Taekjin LEE <[email protected]> Signed-off-by: Yukinari Hisaki <[email protected]> Co-authored-by: Onur Can Yücedağ <[email protected]> Co-authored-by: Shintaro Tomie <[email protected]> Co-authored-by: Kotaro Uetake <[email protected]> Co-authored-by: Mamoru Sobue <[email protected]> Co-authored-by: Shumpei Wakabayashi <[email protected]> Co-authored-by: Yukinari Hisaki <[email protected]>
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common/autoware_universe_utils/examples/example_lru_cache.cpp
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// Copyright 2024 TIER IV, Inc. | ||
// | ||
// 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. | ||
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#include "autoware/universe_utils/system/lru_cache.hpp" | ||
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#include <chrono> | ||
#include <cstdint> | ||
#include <iostream> | ||
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using autoware::universe_utils::LRUCache; | ||
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// Fibonacci calculation with LRU cache | ||
int64_t fibonacci_with_cache(int n, LRUCache<int, int64_t> * cache) | ||
{ | ||
if (n <= 1) return n; | ||
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if (cache->contains(n)) { | ||
return *cache->get(n); | ||
} | ||
int64_t result = fibonacci_with_cache(n - 1, cache) + fibonacci_with_cache(n - 2, cache); | ||
cache->put(n, result); | ||
return result; | ||
} | ||
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// Fibonacci calculation without cache | ||
int64_t fibonacci_no_cache(int n) | ||
{ | ||
if (n <= 1) return n; | ||
return fibonacci_no_cache(n - 1) + fibonacci_no_cache(n - 2); | ||
} | ||
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// Helper function to measure execution time | ||
template <typename Func, typename... Args> | ||
int64_t measure_time(Func func, Args &&... args) | ||
{ | ||
auto start = std::chrono::high_resolution_clock::now(); | ||
func(std::forward<Args>(args)...); | ||
auto end = std::chrono::high_resolution_clock::now(); | ||
return std::chrono::duration_cast<std::chrono::microseconds>(end - start).count(); | ||
} | ||
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int main() | ||
{ | ||
const int max_n = 40; // Increased for more noticeable time difference | ||
LRUCache<int, int64_t> cache(max_n); // Cache size set to MAX_N | ||
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std::cout << "Comparing Fibonacci calculation time with and without LRU cache:\n\n"; | ||
std::cout << "n\tWith Cache (μs)\tWithout Cache (μs)\n"; | ||
std::cout << std::string(43, '-') << "\n"; | ||
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for (int i = 30; i <= max_n; ++i) { // Starting from 30 for more significant differences | ||
int64_t time_with_cache = measure_time([i, &cache]() { fibonacci_with_cache(i, &cache); }); | ||
int64_t time_without_cache = measure_time([i]() { fibonacci_no_cache(i); }); | ||
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std::cout << i << "\t" << time_with_cache << "\t\t" << time_without_cache << "\n"; | ||
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// Clear the cache after each iteration to ensure fair comparison | ||
cache.clear(); | ||
} | ||
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return 0; | ||
} |
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common/autoware_universe_utils/include/autoware/universe_utils/system/lru_cache.hpp
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// Copyright 2024 TIER IV, Inc. | ||
// | ||
// 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. | ||
#ifndef AUTOWARE__UNIVERSE_UTILS__SYSTEM__LRU_CACHE_HPP_ | ||
#define AUTOWARE__UNIVERSE_UTILS__SYSTEM__LRU_CACHE_HPP_ | ||
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#include <cstddef> | ||
#include <list> | ||
#include <optional> | ||
#include <unordered_map> | ||
#include <utility> | ||
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namespace autoware::universe_utils | ||
{ | ||
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/** | ||
* @brief A template class for LRU (Least Recently Used) Cache. | ||
* | ||
* This class implements a simple LRU cache using a combination of a list and a hash map. | ||
* | ||
* @tparam Key The type of keys. | ||
* @tparam Value The type of values. | ||
* @tparam Map The type of underlying map, defaulted to std::unordered_map. | ||
*/ | ||
template <typename Key, typename Value, template <typename...> class Map = std::unordered_map> | ||
class LRUCache | ||
{ | ||
private: | ||
size_t capacity_; ///< The maximum capacity of the cache. | ||
std::list<std::pair<Key, Value>> cache_list_; ///< List to maintain the order of elements. | ||
Map<Key, typename std::list<std::pair<Key, Value>>::iterator> | ||
cache_map_; ///< Map for fast access to elements. | ||
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public: | ||
/** | ||
* @brief Construct a new LRUCache object. | ||
* | ||
* @param size The capacity of the cache. | ||
*/ | ||
explicit LRUCache(size_t size) : capacity_(size) {} | ||
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/** | ||
* @brief Get the capacity of the cache. | ||
* | ||
* @return The capacity of the cache. | ||
*/ | ||
[[nodiscard]] size_t capacity() const { return capacity_; } | ||
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/** | ||
* @brief Insert a key-value pair into the cache. | ||
* | ||
* If the key already exists, its value is updated and it is moved to the front. | ||
* If the cache exceeds its capacity, the least recently used element is removed. | ||
* | ||
* @param key The key to insert. | ||
* @param value The value to insert. | ||
*/ | ||
void put(const Key & key, const Value & value) | ||
{ | ||
auto it = cache_map_.find(key); | ||
if (it != cache_map_.end()) { | ||
cache_list_.erase(it->second); | ||
} | ||
cache_list_.push_front({key, value}); | ||
cache_map_[key] = cache_list_.begin(); | ||
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if (cache_map_.size() > capacity_) { | ||
auto last = cache_list_.back(); | ||
cache_map_.erase(last.first); | ||
cache_list_.pop_back(); | ||
} | ||
} | ||
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/** | ||
* @brief Retrieve a value from the cache. | ||
* | ||
* If the key does not exist in the cache, std::nullopt is returned. | ||
* If the key exists, the value is returned and the element is moved to the front. | ||
* | ||
* @param key The key to retrieve. | ||
* @return The value associated with the key, or std::nullopt if the key does not exist. | ||
*/ | ||
std::optional<Value> get(const Key & key) | ||
{ | ||
auto it = cache_map_.find(key); | ||
if (it == cache_map_.end()) { | ||
return std::nullopt; | ||
} | ||
cache_list_.splice(cache_list_.begin(), cache_list_, it->second); | ||
return it->second->second; | ||
} | ||
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/** | ||
* @brief Clear the cache. | ||
* | ||
* This removes all elements from the cache. | ||
*/ | ||
void clear() | ||
{ | ||
cache_list_.clear(); | ||
cache_map_.clear(); | ||
} | ||
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/** | ||
* @brief Get the current size of the cache. | ||
* | ||
* @return The number of elements in the cache. | ||
*/ | ||
[[nodiscard]] size_t size() const { return cache_map_.size(); } | ||
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/** | ||
* @brief Check if the cache is empty. | ||
* | ||
* @return True if the cache is empty, false otherwise. | ||
*/ | ||
[[nodiscard]] bool empty() const { return cache_map_.empty(); } | ||
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/** | ||
* @brief Check if a key exists in the cache. | ||
* | ||
* @param key The key to check. | ||
* @return True if the key exists, false otherwise. | ||
*/ | ||
[[nodiscard]] bool contains(const Key & key) const | ||
{ | ||
return cache_map_.find(key) != cache_map_.end(); | ||
} | ||
}; | ||
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} // namespace autoware::universe_utils | ||
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#endif // AUTOWARE__UNIVERSE_UTILS__SYSTEM__LRU_CACHE_HPP_ |
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78
common/autoware_universe_utils/test/src/system/test_lru_cache.cpp
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// Copyright 2024 TIER IV, Inc. | ||
// | ||
// 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. | ||
#include "autoware/universe_utils/system/lru_cache.hpp" | ||
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#include <gtest/gtest.h> | ||
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#include <chrono> | ||
#include <cstdint> | ||
#include <iostream> | ||
#include <utility> | ||
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using autoware::universe_utils::LRUCache; | ||
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// Fibonacci calculation with LRU cache | ||
int64_t fibonacci_with_cache(int n, LRUCache<int, int64_t> * cache) | ||
{ | ||
if (n <= 1) return n; | ||
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if (cache->contains(n)) { | ||
return *cache->get(n); | ||
} | ||
int64_t result = fibonacci_with_cache(n - 1, cache) + fibonacci_with_cache(n - 2, cache); | ||
cache->put(n, result); | ||
return result; | ||
} | ||
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// Fibonacci calculation without cache | ||
int64_t fibonacci_no_cache(int n) | ||
{ | ||
if (n <= 1) return n; | ||
return fibonacci_no_cache(n - 1) + fibonacci_no_cache(n - 2); | ||
} | ||
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// Helper function to measure execution time | ||
template <typename Func, typename... Args> | ||
std::pair<int64_t, decltype(std::declval<Func>()(std::declval<Args>()...))> measure_time( | ||
Func func, Args &&... args) | ||
{ | ||
auto start = std::chrono::high_resolution_clock::now(); | ||
auto result = func(std::forward<Args>(args)...); | ||
auto end = std::chrono::high_resolution_clock::now(); | ||
return {std::chrono::duration_cast<std::chrono::microseconds>(end - start).count(), result}; | ||
} | ||
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// Test case to verify Fibonacci calculation results with and without cache | ||
TEST(FibonacciLRUCacheTest, CompareResultsAndPerformance) | ||
{ | ||
const int max_n = 40; // Test range | ||
LRUCache<int, int64_t> cache(max_n); // Cache with capacity set to max_n | ||
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for (int i = 0; i <= max_n; ++i) { | ||
// Measure time for performance comparison | ||
auto [time_with_cache, result_with_cache] = | ||
measure_time([i, &cache]() { return fibonacci_with_cache(i, &cache); }); | ||
auto [time_without_cache, result_without_cache] = | ||
measure_time([i]() { return fibonacci_no_cache(i); }); | ||
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EXPECT_EQ(result_with_cache, result_without_cache) << "Mismatch at n = " << i; | ||
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// Print the calculation time | ||
std::cout << "n = " << i << ": With Cache = " << time_with_cache | ||
<< " μs, Without Cache = " << time_without_cache << " μs\n"; | ||
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// // Clear the cache after each iteration to ensure fair comparison | ||
cache.clear(); | ||
} | ||
} |
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