| | |
| | | TCLAP::ValueArg<std::int32_t> thread_num("", THREAD_NUM, "multi-thread num for rtf", false, 1, "int32_t"); |
| | | TCLAP::ValueArg<std::string> hotword("", HOTWORD, "the hotword file, one hotword perline, Format: Hotword Weight (could be: 阿里巴巴 20)", false, "", "string"); |
| | | TCLAP::SwitchArg use_gpu("", INFER_GPU, "Whether to use GPU for inference, default is false", false); |
| | | TCLAP::ValueArg<std::int32_t> batch_size("", "batch-size", "batch_size for ASR model when using GPU", false, 1, "int32_t"); |
| | | |
| | | cmd.add(model_dir); |
| | | cmd.add(quantize); |
| | |
| | | cmd.add(audio_fs); |
| | | cmd.add(thread_num); |
| | | cmd.add(use_gpu); |
| | | cmd.add(batch_size); |
| | | cmd.parse(argc, argv); |
| | | |
| | | std::map<std::string, std::string> model_path; |
| | |
| | | struct timeval start, end; |
| | | gettimeofday(&start, nullptr); |
| | | bool use_gpu_ = use_gpu.getValue(); |
| | | FUNASR_HANDLE asr_handle=FunOfflineInit(model_path, 1, use_gpu_); |
| | | int batch_size_ = batch_size.getValue(); |
| | | FUNASR_HANDLE asr_handle=FunOfflineInit(model_path, 1, use_gpu_, batch_size_); |
| | | |
| | | if (!asr_handle) |
| | | { |
| | |
| | | TCLAP::ValueArg<std::int32_t> audio_fs("", AUDIO_FS, "the sample rate of audio", false, 16000, "int32_t"); |
| | | TCLAP::ValueArg<std::string> hotword("", HOTWORD, "the hotword file, one hotword perline, Format: Hotword Weight (could be: 阿里巴巴 20)", false, "", "string"); |
| | | TCLAP::SwitchArg use_gpu("", INFER_GPU, "Whether to use GPU for inference, default is false", false); |
| | | TCLAP::ValueArg<std::int32_t> batch_size("", "batch-size", "batch_size for ASR model when using GPU", false, 5, "int32_t"); |
| | | |
| | | cmd.add(model_dir); |
| | | cmd.add(quantize); |
| | |
| | | cmd.add(audio_fs); |
| | | cmd.add(hotword); |
| | | cmd.add(use_gpu); |
| | | cmd.add(batch_size); |
| | | cmd.parse(argc, argv); |
| | | |
| | | std::map<std::string, std::string> model_path; |
| | |
| | | gettimeofday(&start, nullptr); |
| | | int thread_num = 1; |
| | | bool use_gpu_ = use_gpu.getValue(); |
| | | FUNASR_HANDLE asr_hanlde=FunOfflineInit(model_path, thread_num, use_gpu_); |
| | | int batch_size_ = batch_size.getValue(); |
| | | FUNASR_HANDLE asr_hanlde=FunOfflineInit(model_path, thread_num, use_gpu_, batch_size_); |
| | | |
| | | if (!asr_hanlde) |
| | | { |