Support CoreML for macOS (#151)
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@@ -24,17 +24,19 @@ void PybindOfflineModelConfig(py::module *m) {
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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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const std::string &, int32_t, bool, const std::string &>(),
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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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py::arg("tokens"), py::arg("num_threads"), py::arg("debug") = false,
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py::arg("provider") = "cpu")
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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_readwrite("provider", &PyClass::provider)
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.def("__str__", &PyClass::ToString);
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}
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@@ -14,16 +14,19 @@ void PybindOnlineTransducerModelConfig(py::module *m) {
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using PyClass = OnlineTransducerModelConfig;
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py::class_<PyClass>(*m, "OnlineTransducerModelConfig")
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.def(py::init<const std::string &, const std::string &,
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const std::string &, const std::string &, int32_t, bool>(),
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const std::string &, const std::string &, int32_t, bool,
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const std::string &>(),
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py::arg("encoder_filename"), py::arg("decoder_filename"),
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py::arg("joiner_filename"), py::arg("tokens"),
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py::arg("num_threads"), py::arg("debug") = false)
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py::arg("num_threads"), py::arg("debug") = false,
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py::arg("provider") = "cpu")
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.def_readwrite("encoder_filename", &PyClass::encoder_filename)
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.def_readwrite("decoder_filename", &PyClass::decoder_filename)
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.def_readwrite("joiner_filename", &PyClass::joiner_filename)
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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_readwrite("provider", &PyClass::provider)
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.def("__str__", &PyClass::ToString);
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}
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@@ -40,6 +40,7 @@ class OfflineRecognizer(object):
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feature_dim: int = 80,
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decoding_method: str = "greedy_search",
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debug: bool = False,
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provider: str = "cpu",
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):
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"""
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Please refer to
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@@ -70,6 +71,8 @@ class OfflineRecognizer(object):
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Support only greedy_search for now.
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debug:
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True to show debug messages.
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provider:
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onnxruntime execution providers. Valid values are: cpu, cuda, coreml.
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"""
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self = cls.__new__(cls)
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model_config = OfflineModelConfig(
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@@ -81,6 +84,7 @@ class OfflineRecognizer(object):
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tokens=tokens,
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num_threads=num_threads,
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debug=debug,
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provider=provider,
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)
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feat_config = OfflineFeatureExtractorConfig(
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@@ -39,6 +39,7 @@ class OnlineRecognizer(object):
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rule3_min_utterance_length: float = 20.0,
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decoding_method: str = "greedy_search",
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max_active_paths: int = 4,
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provider: str = "cpu",
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):
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"""
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Please refer to
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@@ -86,6 +87,8 @@ class OnlineRecognizer(object):
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max_active_paths:
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Use only when decoding_method is modified_beam_search. It specifies
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the maximum number of active paths during beam search.
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provider:
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onnxruntime execution providers. Valid values are: cpu, cuda, coreml.
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"""
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_assert_file_exists(tokens)
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_assert_file_exists(encoder)
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@@ -100,6 +103,7 @@ class OnlineRecognizer(object):
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joiner_filename=joiner,
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tokens=tokens,
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num_threads=num_threads,
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provider=provider,
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)
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feat_config = FeatureExtractorConfig(
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