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Begin to support CTC models (#119)

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Please see https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/nemo/index.html for a list of pre-trained CTC models from NeMo.
This commit is contained in:
Fangjun Kuang
2023-04-07 23:11:34 +08:00
committed by GitHub
parent 9ac747248b
commit 80060c276d
40 changed files with 1244 additions and 60 deletions
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21
sherpa-onnx/python/csrc/offline-model-config.cc
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@@ -7,26 +7,31 @@
#include <string>
#include <vector>
#include "sherpa-onnx/python/csrc/offline-transducer-model-config.h"
#include "sherpa-onnx/python/csrc/offline-paraformer-model-config.h"
#include "sherpa-onnx/csrc/offline-model-config.h"
#include "sherpa-onnx/python/csrc/offline-nemo-enc-dec-ctc-model-config.h"
#include "sherpa-onnx/python/csrc/offline-paraformer-model-config.h"
#include "sherpa-onnx/python/csrc/offline-transducer-model-config.h"
namespace sherpa_onnx {
void PybindOfflineModelConfig(py::module *m) {
PybindOfflineTransducerModelConfig(m);
PybindOfflineParaformerModelConfig(m);
PybindOfflineNemoEncDecCtcModelConfig(m);
using PyClass = OfflineModelConfig;
py::class_<PyClass>(*m, "OfflineModelConfig")
.def(py::init<OfflineTransducerModelConfig &,
OfflineParaformerModelConfig &,
const std::string &, int32_t, bool>(),
py::arg("transducer"), py::arg("paraformer"), py::arg("tokens"),
py::arg("num_threads"), py::arg("debug") = false)
.def(py::init<const OfflineTransducerModelConfig &,
const OfflineParaformerModelConfig &,
const OfflineNemoEncDecCtcModelConfig &,
const std::string &, int32_t, bool>(),
py::arg("transducer") = OfflineTransducerModelConfig(),
py::arg("paraformer") = OfflineParaformerModelConfig(),
py::arg("nemo_ctc") = OfflineNemoEncDecCtcModelConfig(),
py::arg("tokens"), py::arg("num_threads"), py::arg("debug") = false)
.def_readwrite("transducer", &PyClass::transducer)
.def_readwrite("paraformer", &PyClass::paraformer)
.def_readwrite("nemo_ctc", &PyClass::nemo_ctc)
.def_readwrite("tokens", &PyClass::tokens)
.def_readwrite("num_threads", &PyClass::num_threads)
.def_readwrite("debug", &PyClass::debug)