8562711252
* Implement context graph * Modify the interface to support context biasing * Support context biasing in modified beam search; add python wrapper * Support context biasing in python api example * Minor fixes * Fix context graph * Minor fixes * Fix tests * Fix style * Fix style * Fix comments * Minor fixes * Add missing header * Replace std::shared_ptr with std::unique_ptr for effciency * Build graph in constructor * Fix comments * Minor fixes * Fix docs
80 lines
2.5 KiB
C++
80 lines
2.5 KiB
C++
// sherpa-onnx/csrc/offline-recognizer.cc
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#include "sherpa-onnx/csrc/offline-recognizer.h"
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#include <memory>
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#include "sherpa-onnx/csrc/file-utils.h"
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#include "sherpa-onnx/csrc/macros.h"
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#include "sherpa-onnx/csrc/offline-lm-config.h"
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#include "sherpa-onnx/csrc/offline-recognizer-impl.h"
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namespace sherpa_onnx {
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void OfflineRecognizerConfig::Register(ParseOptions *po) {
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feat_config.Register(po);
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model_config.Register(po);
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lm_config.Register(po);
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po->Register(
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"decoding-method", &decoding_method,
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"decoding method,"
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"Valid values: greedy_search, modified_beam_search. "
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"modified_beam_search is applicable only for transducer models.");
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po->Register("max-active-paths", &max_active_paths,
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"Used only when decoding_method is modified_beam_search");
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po->Register("context-score", &context_score,
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"The bonus score for each token in context word/phrase. "
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"Used only when decoding_method is modified_beam_search");
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}
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bool OfflineRecognizerConfig::Validate() const {
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if (decoding_method == "modified_beam_search" && !lm_config.model.empty()) {
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if (max_active_paths <= 0) {
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SHERPA_ONNX_LOGE("max_active_paths is less than 0! Given: %d",
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max_active_paths);
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return false;
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}
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if (!lm_config.Validate()) return false;
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}
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return model_config.Validate();
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}
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std::string OfflineRecognizerConfig::ToString() const {
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std::ostringstream os;
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os << "OfflineRecognizerConfig(";
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os << "feat_config=" << feat_config.ToString() << ", ";
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os << "model_config=" << model_config.ToString() << ", ";
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os << "lm_config=" << lm_config.ToString() << ", ";
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os << "decoding_method=\"" << decoding_method << "\", ";
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os << "max_active_paths=" << max_active_paths << ", ";
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os << "context_score=" << context_score << ")";
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return os.str();
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}
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OfflineRecognizer::OfflineRecognizer(const OfflineRecognizerConfig &config)
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: impl_(OfflineRecognizerImpl::Create(config)) {}
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OfflineRecognizer::~OfflineRecognizer() = default;
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std::unique_ptr<OfflineStream> OfflineRecognizer::CreateStream(
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const std::vector<std::vector<int32_t>> &context_list) const {
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return impl_->CreateStream(context_list);
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}
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std::unique_ptr<OfflineStream> OfflineRecognizer::CreateStream() const {
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return impl_->CreateStream();
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}
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void OfflineRecognizer::DecodeStreams(OfflineStream **ss, int32_t n) const {
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impl_->DecodeStreams(ss, n);
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}
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} // namespace sherpa_onnx
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