1a1b9fd236
* rnnlm model inference supports num_threads setting * rnnlm params decouple num_thread and provider with Transducer. * fix python csrc bug which offline-lm-config.cc and online-lm-config.cc arguments problem * lm_num_threads and lm_provider set default values --------- Co-authored-by: cuidongcai1035 <cuidongcai1035@wezhuiyi.com>
27 lines
870 B
C++
27 lines
870 B
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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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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.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("__str__", &PyClass::ToString);
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}
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} // namespace sherpa_onnx
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