RNNLM model support lm_num_thread and lm_provider setting (#173)

* 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>
This commit is contained in:
keanu
2023-06-12 15:51:27 +08:00
committed by GitHub
parent 13b33fcc08
commit 1a1b9fd236
18 changed files with 67 additions and 31 deletions

View File

@@ -13,10 +13,13 @@ namespace sherpa_onnx {
void PybindOfflineLMConfig(py::module *m) {
using PyClass = OfflineLMConfig;
py::class_<PyClass>(*m, "OfflineLMConfig")
.def(py::init<const std::string &, float>(), py::arg("model"),
py::arg("scale"))
.def(py::init<const std::string &, float, int32_t, const std::string &>(),
py::arg("model"), py::arg("scale") = 0.5f,
py::arg("lm_num_threads") = 1, py::arg("lm-provider") = "cpu")
.def_readwrite("model", &PyClass::model)
.def_readwrite("scale", &PyClass::scale)
.def_readwrite("lm_provider", &PyClass::lm_provider)
.def_readwrite("lm_num_threads", &PyClass::lm_num_threads)
.def("__str__", &PyClass::ToString);
}

View File

@@ -13,10 +13,13 @@ namespace sherpa_onnx {
void PybindOnlineLMConfig(py::module *m) {
using PyClass = OnlineLMConfig;
py::class_<PyClass>(*m, "OnlineLMConfig")
.def(py::init<const std::string &, float>(), py::arg("model") = "",
py::arg("scale") = 0.5f)
.def(py::init<const std::string &, float, int32_t, const std::string &>(),
py::arg("model") = "", py::arg("scale") = 0.5f,
py::arg("lm_num_threads") = 1, py::arg("lm_provider") = "cpu")
.def_readwrite("model", &PyClass::model)
.def_readwrite("scale", &PyClass::scale)
.def_readwrite("lm_provider", &PyClass::lm_provider)
.def_readwrite("lm_num_threads", &PyClass::lm_num_threads)
.def("__str__", &PyClass::ToString);
}