offline-speaker-segmentation-model-config.cc
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// sherpa-onnx/csrc/offline-speaker-segmentation-model-config.cc
//
// Copyright (c) 2024 Xiaomi Corporation
#include "sherpa-onnx/csrc/offline-speaker-segmentation-model-config.h"
#include <sstream>
#include <string>
#include "sherpa-onnx/csrc/macros.h"
namespace sherpa_onnx {
void OfflineSpeakerSegmentationModelConfig::Register(ParseOptions *po) {
pyannote.Register(po);
po->Register("num-threads", &num_threads,
"Number of threads to run the neural network");
po->Register("debug", &debug,
"true to print model information while loading it.");
po->Register("provider", &provider,
"Specify a provider to use: cpu, cuda, coreml");
}
bool OfflineSpeakerSegmentationModelConfig::Validate() const {
if (num_threads < 1) {
SHERPA_ONNX_LOGE("num_threads should be > 0. Given %d", num_threads);
return false;
}
if (!pyannote.model.empty()) {
return pyannote.Validate();
}
if (pyannote.model.empty()) {
SHERPA_ONNX_LOGE(
"You have to provide at least one speaker segmentation model");
return false;
}
return true;
}
std::string OfflineSpeakerSegmentationModelConfig::ToString() const {
std::ostringstream os;
os << "OfflineSpeakerSegmentationModelConfig(";
os << "pyannote=" << pyannote.ToString() << ", ";
os << "num_threads=" << num_threads << ", ";
os << "debug=" << (debug ? "True" : "False") << ", ";
os << "provider=\"" << provider << "\")";
return os.str();
}
} // namespace sherpa_onnx