80060c276d
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.
42 lines
1.6 KiB
C++
42 lines
1.6 KiB
C++
// sherpa-onnx/python/csrc/offline-model-config.cc
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//
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// Copyright (c) 2023 by manyeyes
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#include "sherpa-onnx/python/csrc/offline-model-config.h"
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#include <string>
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#include <vector>
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#include "sherpa-onnx/csrc/offline-model-config.h"
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#include "sherpa-onnx/python/csrc/offline-nemo-enc-dec-ctc-model-config.h"
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#include "sherpa-onnx/python/csrc/offline-paraformer-model-config.h"
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#include "sherpa-onnx/python/csrc/offline-transducer-model-config.h"
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namespace sherpa_onnx {
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void PybindOfflineModelConfig(py::module *m) {
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PybindOfflineTransducerModelConfig(m);
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PybindOfflineParaformerModelConfig(m);
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PybindOfflineNemoEncDecCtcModelConfig(m);
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using PyClass = OfflineModelConfig;
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py::class_<PyClass>(*m, "OfflineModelConfig")
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.def(py::init<const OfflineTransducerModelConfig &,
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const OfflineParaformerModelConfig &,
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const OfflineNemoEncDecCtcModelConfig &,
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const std::string &, int32_t, bool>(),
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py::arg("transducer") = OfflineTransducerModelConfig(),
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py::arg("paraformer") = OfflineParaformerModelConfig(),
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py::arg("nemo_ctc") = OfflineNemoEncDecCtcModelConfig(),
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py::arg("tokens"), py::arg("num_threads"), py::arg("debug") = false)
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.def_readwrite("transducer", &PyClass::transducer)
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.def_readwrite("paraformer", &PyClass::paraformer)
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.def_readwrite("nemo_ctc", &PyClass::nemo_ctc)
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.def_readwrite("tokens", &PyClass::tokens)
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.def_readwrite("num_threads", &PyClass::num_threads)
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.def_readwrite("debug", &PyClass::debug)
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.def("__str__", &PyClass::ToString);
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}
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} // namespace sherpa_onnx
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