PaddleSpeech/deepspeech/decoders/swig/path_trie.cpp

// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
//
// 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 "path_trie.h"

#include <algorithm>
#include <limits>
#include <memory>
#include <utility>
#include <vector>

#include "decoder_utils.h"

PathTrie::PathTrie() {
    log_prob_b_prev = -NUM_FLT_INF;
    log_prob_nb_prev = -NUM_FLT_INF;
    log_prob_b_cur = -NUM_FLT_INF;
    log_prob_nb_cur = -NUM_FLT_INF;
    score = -NUM_FLT_INF;

    ROOT_ = -1;
    character = ROOT_;
    exists_ = true;
    parent = nullptr;

    dictionary_ = nullptr;
    dictionary_state_ = 0;
    has_dictionary_ = false;

    matcher_ = nullptr;
}

PathTrie::~PathTrie() {
    for (auto child : children_) {
        delete child.second;
    }
}

PathTrie* PathTrie::get_path_trie(int new_char, bool reset) {
    auto child = children_.begin();
    for (child = children_.begin(); child != children_.end(); ++child) {
        if (child->first == new_char) {
            break;
        }
    }
    if (child != children_.end()) {
        if (!child->second->exists_) {
            child->second->exists_ = true;
            child->second->log_prob_b_prev = -NUM_FLT_INF;
            child->second->log_prob_nb_prev = -NUM_FLT_INF;
            child->second->log_prob_b_cur = -NUM_FLT_INF;
            child->second->log_prob_nb_cur = -NUM_FLT_INF;
        }
        return (child->second);
    } else {
        if (has_dictionary_) {
            matcher_->SetState(dictionary_state_);
            bool found = matcher_->Find(new_char + 1);
            if (!found) {
                // Adding this character causes word outside dictionary
                auto FSTZERO = fst::TropicalWeight::Zero();
                auto final_weight = dictionary_->Final(dictionary_state_);
                bool is_final = (final_weight != FSTZERO);
                if (is_final && reset) {
                    dictionary_state_ = dictionary_->Start();
                }
                return nullptr;
            } else {
                PathTrie* new_path = new PathTrie;
                new_path->character = new_char;
                new_path->parent = this;
                new_path->dictionary_ = dictionary_;
                new_path->dictionary_state_ = matcher_->Value().nextstate;
                new_path->has_dictionary_ = true;
                new_path->matcher_ = matcher_;
                children_.push_back(std::make_pair(new_char, new_path));
                return new_path;
            }
        } else {
            PathTrie* new_path = new PathTrie;
            new_path->character = new_char;
            new_path->parent = this;
            children_.push_back(std::make_pair(new_char, new_path));
            return new_path;
        }
    }
}

PathTrie* PathTrie::get_path_vec(std::vector<int>& output) {
    return get_path_vec(output, ROOT_);
}

PathTrie* PathTrie::get_path_vec(std::vector<int>& output,
                                 int stop,
                                 size_t max_steps) {
    if (character == stop || character == ROOT_ || output.size() == max_steps) {
        std::reverse(output.begin(), output.end());
        return this;
    } else {
        output.push_back(character);
        return parent->get_path_vec(output, stop, max_steps);
    }
}

void PathTrie::iterate_to_vec(std::vector<PathTrie*>& output) {
    if (exists_) {
        log_prob_b_prev = log_prob_b_cur;
        log_prob_nb_prev = log_prob_nb_cur;

        log_prob_b_cur = -NUM_FLT_INF;
        log_prob_nb_cur = -NUM_FLT_INF;

        score = log_sum_exp(log_prob_b_prev, log_prob_nb_prev);
        output.push_back(this);
    }
    for (auto child : children_) {
        child.second->iterate_to_vec(output);
    }
}

void PathTrie::remove() {
    exists_ = false;

    if (children_.size() == 0) {
        auto child = parent->children_.begin();
        for (child = parent->children_.begin();
             child != parent->children_.end();
             ++child) {
            if (child->first == character) {
                parent->children_.erase(child);
                break;
            }
        }

        if (parent->children_.size() == 0 && !parent->exists_) {
            parent->remove();
        }

        delete this;
    }
}

void PathTrie::set_dictionary(fst::StdVectorFst* dictionary) {
    dictionary_ = dictionary;
    dictionary_state_ = dictionary->Start();
    has_dictionary_ = true;
}

using FSTMATCH = fst::SortedMatcher<fst::StdVectorFst>;
void PathTrie::set_matcher(std::shared_ptr<FSTMATCH> matcher) {
    matcher_ = matcher;
}