f0960342ad
This PR integrates LODR (Level-Ordered Deterministic Rescoring) support from Icefall into both online and offline recognizers, enabling LODR for LM shallow fusion and LM rescore. - Extended OnlineLMConfig and OfflineLMConfig to include lodr_fst, lodr_scale, and lodr_backoff_id. - Implemented LodrFst and LodrStateCost classes and wired them into RNN LM scoring in both online and offline code paths. - Updated Python bindings, CLI entry points, examples, and CI test scripts to accept and exercise the new LODR options.
33 lines
1.2 KiB
C++
33 lines
1.2 KiB
C++
// sherpa-onnx/python/csrc/offline-lm-config.cc
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#include "sherpa-onnx/python/csrc/offline-lm-config.h"
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#include <string>
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#include "sherpa-onnx//csrc/offline-lm-config.h"
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namespace sherpa_onnx {
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void PybindOfflineLMConfig(py::module *m) {
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using PyClass = OfflineLMConfig;
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py::class_<PyClass>(*m, "OfflineLMConfig")
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.def(py::init<const std::string &, float, int32_t, const std::string &,
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const std::string &, float, int32_t>(),
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py::arg("model"), py::arg("scale") = 0.5f,
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py::arg("lm_num_threads") = 1, py::arg("lm_provider") = "cpu",
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py::arg("lodr_fst") = "", py::arg("lodr_scale") = 0.0f,
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py::arg("lodr_backoff_id") = -1)
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.def_readwrite("model", &PyClass::model)
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.def_readwrite("scale", &PyClass::scale)
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.def_readwrite("lm_provider", &PyClass::lm_provider)
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.def_readwrite("lm_num_threads", &PyClass::lm_num_threads)
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.def_readwrite("lodr_fst", &PyClass::lodr_fst)
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.def_readwrite("lodr_scale", &PyClass::lodr_scale)
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.def_readwrite("lodr_backoff_id", &PyClass::lodr_backoff_id)
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.def("__str__", &PyClass::ToString);
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}
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} // namespace sherpa_onnx
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