Add C++ runtime and Python APIs for Moonshine models (#1473)
This commit is contained in:
@@ -11,6 +11,7 @@ set(srcs
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offline-ctc-fst-decoder-config.cc
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offline-lm-config.cc
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offline-model-config.cc
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offline-moonshine-model-config.cc
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offline-nemo-enc-dec-ctc-model-config.cc
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offline-paraformer-model-config.cc
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offline-punctuation.cc
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@@ -8,6 +8,7 @@
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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-moonshine-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-sense-voice-model-config.h"
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@@ -28,6 +29,7 @@ void PybindOfflineModelConfig(py::module *m) {
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PybindOfflineZipformerCtcModelConfig(m);
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PybindOfflineWenetCtcModelConfig(m);
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PybindOfflineSenseVoiceModelConfig(m);
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PybindOfflineMoonshineModelConfig(m);
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using PyClass = OfflineModelConfig;
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py::class_<PyClass>(*m, "OfflineModelConfig")
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@@ -39,7 +41,8 @@ void PybindOfflineModelConfig(py::module *m) {
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const OfflineWhisperModelConfig &, const OfflineTdnnModelConfig &,
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const OfflineZipformerCtcModelConfig &,
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const OfflineWenetCtcModelConfig &,
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const OfflineSenseVoiceModelConfig &, const std::string &,
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const OfflineSenseVoiceModelConfig &,
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const OfflineMoonshineModelConfig &, const std::string &,
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const std::string &, int32_t, bool, const std::string &,
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const std::string &, const std::string &, const std::string &>(),
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py::arg("transducer") = OfflineTransducerModelConfig(),
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@@ -50,6 +53,7 @@ void PybindOfflineModelConfig(py::module *m) {
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py::arg("zipformer_ctc") = OfflineZipformerCtcModelConfig(),
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py::arg("wenet_ctc") = OfflineWenetCtcModelConfig(),
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py::arg("sense_voice") = OfflineSenseVoiceModelConfig(),
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py::arg("moonshine") = OfflineMoonshineModelConfig(),
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py::arg("telespeech_ctc") = "", py::arg("tokens"),
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py::arg("num_threads"), py::arg("debug") = false,
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py::arg("provider") = "cpu", py::arg("model_type") = "",
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@@ -62,6 +66,7 @@ void PybindOfflineModelConfig(py::module *m) {
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.def_readwrite("zipformer_ctc", &PyClass::zipformer_ctc)
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.def_readwrite("wenet_ctc", &PyClass::wenet_ctc)
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.def_readwrite("sense_voice", &PyClass::sense_voice)
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.def_readwrite("moonshine", &PyClass::moonshine)
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.def_readwrite("telespeech_ctc", &PyClass::telespeech_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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28
sherpa-onnx/python/csrc/offline-moonshine-model-config.cc
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28
sherpa-onnx/python/csrc/offline-moonshine-model-config.cc
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@@ -0,0 +1,28 @@
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// sherpa-onnx/python/csrc/offline-moonshine-model-config.cc
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//
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// Copyright (c) 2024 Xiaomi Corporation
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#include "sherpa-onnx/csrc/offline-moonshine-model-config.h"
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#include <string>
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#include <vector>
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#include "sherpa-onnx/python/csrc/offline-moonshine-model-config.h"
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namespace sherpa_onnx {
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void PybindOfflineMoonshineModelConfig(py::module *m) {
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using PyClass = OfflineMoonshineModelConfig;
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py::class_<PyClass>(*m, "OfflineMoonshineModelConfig")
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.def(py::init<const std::string &, const std::string &,
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const std::string &, const std::string &>(),
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py::arg("preprocessor"), py::arg("encoder"),
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py::arg("uncached_decoder"), py::arg("cached_decoder"))
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.def_readwrite("preprocessor", &PyClass::preprocessor)
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.def_readwrite("encoder", &PyClass::encoder)
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.def_readwrite("uncached_decoder", &PyClass::uncached_decoder)
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.def_readwrite("cached_decoder", &PyClass::cached_decoder)
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.def("__str__", &PyClass::ToString);
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}
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} // namespace sherpa_onnx
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16
sherpa-onnx/python/csrc/offline-moonshine-model-config.h
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16
sherpa-onnx/python/csrc/offline-moonshine-model-config.h
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@@ -0,0 +1,16 @@
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// sherpa-onnx/python/csrc/offline-moonshine-model-config.h
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//
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// Copyright (c) 2024 Xiaomi Corporation
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#ifndef SHERPA_ONNX_PYTHON_CSRC_OFFLINE_MOONSHINE_MODEL_CONFIG_H_
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#define SHERPA_ONNX_PYTHON_CSRC_OFFLINE_MOONSHINE_MODEL_CONFIG_H_
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#include "sherpa-onnx/python/csrc/sherpa-onnx.h"
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namespace sherpa_onnx {
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void PybindOfflineMoonshineModelConfig(py::module *m);
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}
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#endif // SHERPA_ONNX_PYTHON_CSRC_OFFLINE_MOONSHINE_MODEL_CONFIG_H_
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