online-transducer-model-config.cc
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// sherpa-onnx/csrc/online-transducer-model-config.cc
//
// Copyright (c) 2023 Xiaomi Corporation
#include "sherpa-onnx/csrc/online-transducer-model-config.h"
#include <sstream>
#include "sherpa-onnx/csrc/file-utils.h"
#include "sherpa-onnx/csrc/macros.h"
namespace sherpa_onnx {
void OnlineTransducerModelConfig::Register(ParseOptions *po) {
po->Register("encoder", &encoder_filename, "Path to encoder.onnx");
po->Register("decoder", &decoder_filename, "Path to decoder.onnx");
po->Register("joiner", &joiner_filename, "Path to joiner.onnx");
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.");
}
bool OnlineTransducerModelConfig::Validate() const {
if (!FileExists(tokens)) {
SHERPA_ONNX_LOGE("%s does not exist", tokens.c_str());
return false;
}
if (!FileExists(encoder_filename)) {
SHERPA_ONNX_LOGE("%s does not exist", encoder_filename.c_str());
return false;
}
if (!FileExists(decoder_filename)) {
SHERPA_ONNX_LOGE("%s does not exist", decoder_filename.c_str());
return false;
}
if (!FileExists(joiner_filename)) {
SHERPA_ONNX_LOGE("%s does not exist", joiner_filename.c_str());
return false;
}
if (num_threads < 1) {
SHERPA_ONNX_LOGE("num_threads should be > 0. Given %d", num_threads);
return false;
}
return true;
}
std::string OnlineTransducerModelConfig::ToString() const {
std::ostringstream os;
os << "OnlineTransducerModelConfig(";
os << "encoder_filename=\"" << encoder_filename << "\", ";
os << "decoder_filename=\"" << decoder_filename << "\", ";
os << "joiner_filename=\"" << joiner_filename << "\", ";
os << "tokens=\"" << tokens << "\", ";
os << "num_threads=" << num_threads << ", ";
os << "debug=" << (debug ? "True" : "False") << ")";
return os.str();
}
} // namespace sherpa_onnx