|
|
|
@ -1,4 +1,5 @@
|
|
|
|
|
|
|
|
|
|
// Copyright (c) 2021 Mobvoi Inc (Zhendong Peng)
|
|
|
|
|
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
|
|
|
//
|
|
|
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
|
|
@ -17,10 +18,10 @@
|
|
|
|
|
|
|
|
|
|
#include "base/common.h"
|
|
|
|
|
|
|
|
|
|
#include <cmath>
|
|
|
|
|
#include <algorithm>
|
|
|
|
|
#include <utility>
|
|
|
|
|
#include <cmath>
|
|
|
|
|
#include <queue>
|
|
|
|
|
#include <utility>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
namespace ppspeech {
|
|
|
|
@ -36,28 +37,36 @@ float LogSumExp(float x, float y) {
|
|
|
|
|
// greater compare for smallest priority_queue
|
|
|
|
|
template <typename T>
|
|
|
|
|
struct ValGreaterComp {
|
|
|
|
|
bool operator()(const std::pair<T, int32_t>& lhs, const std::pair<T, int32_>& rhs) const {
|
|
|
|
|
return lhs.first > rhs.first || (lhs.first == rhs.first && lhs.second < rhs.second);
|
|
|
|
|
bool operator()(const std::pair<T, int32_t>& lhs,
|
|
|
|
|
const std::pair<T, int32_>& rhs) const {
|
|
|
|
|
return lhs.first > rhs.first ||
|
|
|
|
|
(lhs.first == rhs.first && lhs.second < rhs.second);
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<typename T>
|
|
|
|
|
void TopK(const std::vector<T>& data, int32_t k, std::vector<T>* values, std::vector<int>* indices) {
|
|
|
|
|
template <typename T>
|
|
|
|
|
void TopK(const std::vector<T>& data,
|
|
|
|
|
int32_t k,
|
|
|
|
|
std::vector<T>* values,
|
|
|
|
|
std::vector<int>* indices) {
|
|
|
|
|
int n = data.size();
|
|
|
|
|
int min_k_n = std::min(k, n);
|
|
|
|
|
|
|
|
|
|
// smallest heap, (val, idx)
|
|
|
|
|
std::vector<std::pair<T, int32_t>> smallest_heap;
|
|
|
|
|
for (int i = 0; i < min_k_n; i++){
|
|
|
|
|
for (int i = 0; i < min_k_n; i++) {
|
|
|
|
|
smallest_heap.emplace_back(data[i], i);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// smallest priority_queue
|
|
|
|
|
std::priority_queue<std::pair<T, int32_t>, std::vector<std::pair<T, int32_t>>, ValGreaterComp<T>> pq(ValGreaterComp<T>(), std::move(smallest_heap));
|
|
|
|
|
std::priority_queue<std::pair<T, int32_t>,
|
|
|
|
|
std::vector<std::pair<T, int32_t>>,
|
|
|
|
|
ValGreaterComp<T>>
|
|
|
|
|
pq(ValGreaterComp<T>(), std::move(smallest_heap));
|
|
|
|
|
|
|
|
|
|
// top k
|
|
|
|
|
for (int i = k ; i < n; i++){
|
|
|
|
|
if (pq.top().first < data[i]){
|
|
|
|
|
for (int i = k; i < n; i++) {
|
|
|
|
|
if (pq.top().first < data[i]) {
|
|
|
|
|
pq.pop();
|
|
|
|
|
pq.emplace_back(data[i], i);
|
|
|
|
|
}
|
|
|
|
@ -68,7 +77,7 @@ void TopK(const std::vector<T>& data, int32_t k, std::vector<T>* values, std::ve
|
|
|
|
|
|
|
|
|
|
// from largest to samllest
|
|
|
|
|
int cur = values->size() - 1;
|
|
|
|
|
while(!pq.empty()){
|
|
|
|
|
while (!pq.empty()) {
|
|
|
|
|
const auto& item = pq.top();
|
|
|
|
|
pq.pop();
|
|
|
|
|
|
|
|
|
|