// sherpa-onnx/csrc/online-transducer-model-config.cc // // Copyright (c) 2023 Xiaomi Corporation #include "sherpa-onnx/csrc/online-transducer-model-config.h" #include #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