online-lm-config.cc
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// sherpa-onnx/csrc/online-lm-config.cc
//
// Copyright (c) 2023 Xiaomi Corporation
#include "sherpa-onnx/csrc/online-lm-config.h"
#include <string>
#include "sherpa-onnx/csrc/file-utils.h"
#include "sherpa-onnx/csrc/macros.h"
namespace sherpa_onnx {
void OnlineLMConfig::Register(ParseOptions *po) {
po->Register("lm", &model, "Path to LM model.");
po->Register("lm-scale", &scale, "LM scale.");
po->Register("lm-num-threads", &lm_num_threads,
"Number of threads to run the neural network of LM model");
po->Register("lm-provider", &lm_provider,
"Specify a provider to LM model use: cpu, cuda, coreml");
po->Register("lm-shallow-fusion", &shallow_fusion,
"Boolean whether to use shallow fusion or rescore.");
po->Register("lodr-fst", &lodr_fst, "Path to LODR FST model.");
po->Register("lodr-scale", &lodr_scale, "LODR scale.");
po->Register("lodr-backoff-id", &lodr_backoff_id,
"ID of the backoff in the LODR FST. -1 means autodetect");
}
bool OnlineLMConfig::Validate() const {
if (!FileExists(model)) {
SHERPA_ONNX_LOGE("'%s' does not exist", model.c_str());
return false;
}
if (!lodr_fst.empty() && !FileExists(lodr_fst)) {
SHERPA_ONNX_LOGE("'%s' does not exist", lodr_fst.c_str());
return false;
}
return true;
}
std::string OnlineLMConfig::ToString() const {
std::ostringstream os;
os << "OnlineLMConfig(";
os << "model=\"" << model << "\", ";
os << "scale=" << scale << ", ";
os << "lodr_scale=" << lodr_scale << ", ";
os << "lodr_fst=\"" << lodr_fst << "\", ";
os << "lodr_backoff_id=" << lodr_backoff_id << ", ";
os << "shallow_fusion=" << (shallow_fusion ? "True" : "False") << ")";
return os.str();
}
} // namespace sherpa_onnx