online-model-config.cc
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// sherpa-onnx/csrc/online-model-config.cc
//
// Copyright (c) 2023 Xiaomi Corporation
#include "sherpa-onnx/csrc/online-model-config.h"
#include <string>
#include "sherpa-onnx/csrc/file-utils.h"
#include "sherpa-onnx/csrc/macros.h"
namespace sherpa_onnx {
void OnlineModelConfig::Register(ParseOptions *po) {
transducer.Register(po);
po->Register("tokens", &tokens, "Path to tokens.txt");
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");
po->Register("model-type", &model_type,
"Specify it to reduce model initialization time. "
"Valid values are: conformer, lstm, zipformer, zipformer2."
"All other values lead to loading the model twice.");
}
bool OnlineModelConfig::Validate() const {
if (num_threads < 1) {
SHERPA_ONNX_LOGE("num_threads should be > 0. Given %d", num_threads);
return false;
}
if (!FileExists(tokens)) {
SHERPA_ONNX_LOGE("tokens: %s does not exist", tokens.c_str());
return false;
}
return transducer.Validate();
}
std::string OnlineModelConfig::ToString() const {
std::ostringstream os;
os << "OnlineModelConfig(";
os << "transducer=" << transducer.ToString() << ", ";
os << "tokens=\"" << tokens << "\", ";
os << "num_threads=" << num_threads << ", ";
os << "debug=" << (debug ? "True" : "False") << ", ";
os << "provider=\"" << provider << "\", ";
os << "model_type=\"" << model_type << "\")";
return os.str();
}
} // namespace sherpa_onnx