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
56 lines
2.1 KiB
C++
56 lines
2.1 KiB
C++
// sherpa-onnx/python/csrc/offline-recognizer.cc
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//
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// Copyright (c) 2023 by manyeyes
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#include "sherpa-onnx/python/csrc/offline-recognizer.h"
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#include <string>
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#include <vector>
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#include "sherpa-onnx/csrc/offline-recognizer.h"
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namespace sherpa_onnx {
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static void PybindOfflineRecognizerConfig(py::module *m) {
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using PyClass = OfflineRecognizerConfig;
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py::class_<PyClass>(*m, "OfflineRecognizerConfig")
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.def(py::init<const OfflineFeatureExtractorConfig &,
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const OfflineModelConfig &, const OfflineLMConfig &,
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const std::string &, int32_t, float>(),
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py::arg("feat_config"), py::arg("model_config"),
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py::arg("lm_config") = OfflineLMConfig(),
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py::arg("decoding_method") = "greedy_search",
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py::arg("max_active_paths") = 4, py::arg("context_score") = 1.5)
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.def_readwrite("feat_config", &PyClass::feat_config)
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.def_readwrite("model_config", &PyClass::model_config)
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.def_readwrite("lm_config", &PyClass::lm_config)
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.def_readwrite("decoding_method", &PyClass::decoding_method)
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.def_readwrite("max_active_paths", &PyClass::max_active_paths)
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.def_readwrite("context_score", &PyClass::context_score)
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.def("__str__", &PyClass::ToString);
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}
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void PybindOfflineRecognizer(py::module *m) {
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PybindOfflineRecognizerConfig(m);
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using PyClass = OfflineRecognizer;
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py::class_<PyClass>(*m, "OfflineRecognizer")
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.def(py::init<const OfflineRecognizerConfig &>(), py::arg("config"))
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.def("create_stream",
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[](const PyClass &self) { return self.CreateStream(); })
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.def(
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"create_stream",
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[](PyClass &self,
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const std::vector<std::vector<int32_t>> &contexts_list) {
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return self.CreateStream(contexts_list);
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},
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py::arg("contexts_list"))
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.def("decode_stream", &PyClass::DecodeStream)
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.def("decode_streams",
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[](const PyClass &self, std::vector<OfflineStream *> ss) {
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self.DecodeStreams(ss.data(), ss.size());
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});
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}
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} // namespace sherpa_onnx
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