This repository has been archived on 2025-08-26. You can view files and clone it, but cannot push or open issues or pull requests.
Files
enginex-mr_series-sherpa-onnx/sherpa-onnx/python/csrc/offline-moonshine-model-config.cc

29 lines
1.0 KiB
C++

// sherpa-onnx/python/csrc/offline-moonshine-model-config.cc
//
// Copyright (c) 2024 Xiaomi Corporation
#include "sherpa-onnx/csrc/offline-moonshine-model-config.h"
#include <string>
#include <vector>
#include "sherpa-onnx/python/csrc/offline-moonshine-model-config.h"
namespace sherpa_onnx {
void PybindOfflineMoonshineModelConfig(py::module *m) {
using PyClass = OfflineMoonshineModelConfig;
py::class_<PyClass>(*m, "OfflineMoonshineModelConfig")
.def(py::init<const std::string &, const std::string &,
const std::string &, const std::string &>(),
py::arg("preprocessor"), py::arg("encoder"),
py::arg("uncached_decoder"), py::arg("cached_decoder"))
.def_readwrite("preprocessor", &PyClass::preprocessor)
.def_readwrite("encoder", &PyClass::encoder)
.def_readwrite("uncached_decoder", &PyClass::uncached_decoder)
.def_readwrite("cached_decoder", &PyClass::cached_decoder)
.def("__str__", &PyClass::ToString);
}
} // namespace sherpa_onnx