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