68 lines
1.8 KiB
C++
68 lines
1.8 KiB
C++
// sherpa-onnx/csrc/vad-model-config.cc
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#include "sherpa-onnx/csrc/vad-model-config.h"
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#include <sstream>
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#include <string>
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#include "sherpa-onnx/csrc/macros.h"
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#include "sherpa-onnx/csrc/text-utils.h"
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namespace sherpa_onnx {
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void VadModelConfig::Register(ParseOptions *po) {
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silero_vad.Register(po);
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po->Register("vad-sample-rate", &sample_rate,
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"Sample rate expected by the VAD model");
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po->Register("vad-num-threads", &num_threads,
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"Number of threads to run the VAD model");
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po->Register("vad-provider", &provider,
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"Specify a provider to run the VAD model. Supported values: "
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"cpu, cuda, coreml");
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po->Register("vad-debug", &debug,
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"true to display debug information when loading vad models");
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}
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bool VadModelConfig::Validate() const {
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if (provider != "rknn") {
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if (!silero_vad.model.empty() && EndsWith(silero_vad.model, ".rknn")) {
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SHERPA_ONNX_LOGE(
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"--provider is %s, which is not rknn, but you pass an rknn model "
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"'%s'",
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provider.c_str(), silero_vad.model.c_str());
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return false;
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}
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}
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if (provider == "rknn") {
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if (!silero_vad.model.empty() && EndsWith(silero_vad.model, ".onnx")) {
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SHERPA_ONNX_LOGE("--provider is rknn, but you pass an onnx model '%s'",
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silero_vad.model.c_str());
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return false;
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}
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}
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return silero_vad.Validate();
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}
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std::string VadModelConfig::ToString() const {
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std::ostringstream os;
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os << "VadModelConfig(";
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os << "silero_vad=" << silero_vad.ToString() << ", ";
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os << "sample_rate=" << sample_rate << ", ";
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os << "num_threads=" << num_threads << ", ";
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os << "provider=\"" << provider << "\", ";
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os << "debug=" << (debug ? "True" : "False") << ")";
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return os.str();
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}
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} // namespace sherpa_onnx
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