| | |
| | | #include "precomp.h" |
| | | |
| | | namespace funasr { |
| | | OfflineStream::OfflineStream(std::map<std::string, std::string>& model_path, int thread_num) |
| | | OfflineStream::OfflineStream(std::map<std::string, std::string>& model_path, int thread_num, bool use_gpu, int batch_size) |
| | | { |
| | | // VAD model |
| | | if(model_path.find(VAD_DIR) != model_path.end()){ |
| | |
| | | string hw_compile_model_path; |
| | | string seg_dict_path; |
| | | |
| | | if(use_gpu){ |
| | | #ifdef USE_GPU |
| | | asr_handle = make_unique<ParaformerTorch>(); |
| | | asr_handle->SetBatchSize(batch_size); |
| | | #else |
| | | LOG(ERROR) <<"GPU is not supported! CPU will be used! If you want to use GPU, please add -DGPU=ON when cmake"; |
| | | asr_handle = make_unique<Paraformer>(); |
| | | use_gpu = false; |
| | | #endif |
| | | }else{ |
| | | asr_handle = make_unique<Paraformer>(); |
| | | } |
| | | |
| | | bool enable_hotword = false; |
| | | hw_compile_model_path = PathAppend(model_path.at(MODEL_DIR), MODEL_EB_NAME); |
| | | seg_dict_path = PathAppend(model_path.at(MODEL_DIR), MODEL_SEG_DICT); |
| | |
| | | am_model_path = PathAppend(model_path.at(MODEL_DIR), MODEL_NAME); |
| | | if(model_path.find(QUANTIZE) != model_path.end() && model_path.at(QUANTIZE) == "true"){ |
| | | am_model_path = PathAppend(model_path.at(MODEL_DIR), QUANT_MODEL_NAME); |
| | | } |
| | | if(use_gpu){ |
| | | am_model_path = PathAppend(model_path.at(MODEL_DIR), TORCH_MODEL_NAME); |
| | | if(model_path.find(QUANTIZE) != model_path.end() && model_path.at(QUANTIZE) == "true"){ |
| | | am_model_path = PathAppend(model_path.at(MODEL_DIR), TORCH_QUANT_MODEL_NAME); |
| | | } |
| | | if(model_path.find(BLADEDISC) != model_path.end() && model_path.at(BLADEDISC) == "true"){ |
| | | am_model_path = PathAppend(model_path.at(MODEL_DIR), BLADE_MODEL_NAME); |
| | | } |
| | | } |
| | | } |
| | | am_cmvn_path = PathAppend(model_path.at(MODEL_DIR), AM_CMVN_NAME); |
| | |
| | | #endif |
| | | } |
| | | |
| | | OfflineStream *CreateOfflineStream(std::map<std::string, std::string>& model_path, int thread_num) |
| | | OfflineStream *CreateOfflineStream(std::map<std::string, std::string>& model_path, int thread_num, bool use_gpu, int batch_size) |
| | | { |
| | | OfflineStream *mm; |
| | | mm = new OfflineStream(model_path, thread_num); |
| | | mm = new OfflineStream(model_path, thread_num, use_gpu, batch_size); |
| | | return mm; |
| | | } |
| | | |