Add config for TensorRT and CUDA execution provider (#992)
Signed-off-by: manickavela1998@gmail.com <manickavela1998@gmail.com> Signed-off-by: manickavela1998@gmail.com <manickavela.arumugam@uniphore.com>
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@@ -9,11 +9,13 @@
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#include "sherpa-onnx/csrc/online-model-config.h"
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#include "sherpa-onnx/csrc/online-transducer-model-config.h"
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#include "sherpa-onnx/csrc/provider-config.h"
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#include "sherpa-onnx/python/csrc/online-nemo-ctc-model-config.h"
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#include "sherpa-onnx/python/csrc/online-paraformer-model-config.h"
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#include "sherpa-onnx/python/csrc/online-transducer-model-config.h"
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#include "sherpa-onnx/python/csrc/online-wenet-ctc-model-config.h"
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#include "sherpa-onnx/python/csrc/online-zipformer2-ctc-model-config.h"
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#include "sherpa-onnx/python/csrc/provider-config.h"
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namespace sherpa_onnx {
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@@ -23,6 +25,7 @@ void PybindOnlineModelConfig(py::module *m) {
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PybindOnlineWenetCtcModelConfig(m);
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PybindOnlineZipformer2CtcModelConfig(m);
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PybindOnlineNeMoCtcModelConfig(m);
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PybindProviderConfig(m);
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using PyClass = OnlineModelConfig;
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py::class_<PyClass>(*m, "OnlineModelConfig")
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@@ -30,33 +33,34 @@ void PybindOnlineModelConfig(py::module *m) {
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const OnlineParaformerModelConfig &,
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const OnlineWenetCtcModelConfig &,
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const OnlineZipformer2CtcModelConfig &,
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const OnlineNeMoCtcModelConfig &, const std::string &,
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int32_t, int32_t, bool, const std::string &,
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const std::string &, const std::string &,
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const OnlineNeMoCtcModelConfig &,
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const ProviderConfig &,
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const std::string &, int32_t, int32_t,
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bool, const std::string &, const std::string &,
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const std::string &>(),
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py::arg("transducer") = OnlineTransducerModelConfig(),
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py::arg("paraformer") = OnlineParaformerModelConfig(),
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py::arg("wenet_ctc") = OnlineWenetCtcModelConfig(),
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py::arg("zipformer2_ctc") = OnlineZipformer2CtcModelConfig(),
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py::arg("nemo_ctc") = OnlineNeMoCtcModelConfig(), py::arg("tokens"),
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py::arg("num_threads"), py::arg("warm_up") = 0,
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py::arg("debug") = false, py::arg("provider") = "cpu",
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py::arg("model_type") = "", py::arg("modeling_unit") = "",
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py::arg("bpe_vocab") = "")
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py::arg("nemo_ctc") = OnlineNeMoCtcModelConfig(),
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py::arg("provider_config") = ProviderConfig(),
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py::arg("tokens"), py::arg("num_threads"), py::arg("warm_up") = 0,
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py::arg("debug") = false, py::arg("model_type") = "",
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py::arg("modeling_unit") = "", py::arg("bpe_vocab") = "")
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.def_readwrite("transducer", &PyClass::transducer)
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.def_readwrite("paraformer", &PyClass::paraformer)
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.def_readwrite("wenet_ctc", &PyClass::wenet_ctc)
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.def_readwrite("zipformer2_ctc", &PyClass::zipformer2_ctc)
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.def_readwrite("nemo_ctc", &PyClass::nemo_ctc)
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.def_readwrite("provider_config", &PyClass::provider_config)
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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("warm_up", &PyClass::warm_up)
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.def_readwrite("debug", &PyClass::debug)
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.def_readwrite("provider", &PyClass::provider)
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.def_readwrite("model_type", &PyClass::model_type)
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.def_readwrite("modeling_unit", &PyClass::modeling_unit)
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.def_readwrite("bpe_vocab", &PyClass::bpe_vocab)
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.def("validate", &PyClass::Validate)
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.def("__str__", &PyClass::ToString);
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}
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} // namespace sherpa_onnx
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