lid_inference.py
Less than 1 minute
lid_inference.py
speaker embedding extraction
usage: lid_inference.py [-h] [--config CONFIG]
[--log_level {CRITICAL,ERROR,WARNING,INFO,DEBUG,NOTSET}]
--output_dir OUTPUT_DIR [--ngpu NGPU] [--seed SEED]
[--dtype {float16,float32,float64}]
[--num_workers NUM_WORKERS]
--data_path_and_name_and_type
DATA_PATH_AND_NAME_AND_TYPE [--shape_file SHAPE_FILE]
[--train_dtype {float16,float32,float64}]
[--lid_train_config LID_TRAIN_CONFIG]
[--lid_model_file LID_MODEL_FILE]
[--extract_embd EXTRACT_EMBD]
[--save_embd_per_utt SAVE_EMBD_PER_UTT]
[--save_embd_avg_lang SAVE_EMBD_AVG_LANG]
[--save_tsne_plot SAVE_TSNE_PLOT]
[--dist_backend DIST_BACKEND]
[--dist_init_method DIST_INIT_METHOD]
[--dist_world_size DIST_WORLD_SIZE]
[--dist_rank DIST_RANK] [--local_rank LOCAL_RANK]
[--dist_master_addr DIST_MASTER_ADDR]
[--dist_master_port DIST_MASTER_PORT]
[--dist_launcher {slurm,mpi,None}]
[--init_param INIT_PARAM]
[--multiprocessing_distributed MULTIPROCESSING_DISTRIBUTED]
[--unused_parameters UNUSED_PARAMETERS]
[--sharded_ddp SHARDED_DDP]
[--use_matplotlib USE_MATPLOTLIB]
[--use_tensorboard USE_TENSORBOARD]
[--create_graph_in_tensorboard CREATE_GRAPH_IN_TENSORBOARD]
[--use_wandb USE_WANDB]
[--wandb_project WANDB_PROJECT] [--wandb_id WANDB_ID]
[--wandb_entity WANDB_ENTITY]
[--wandb_name WANDB_NAME]
[--wandb_model_log_interval WANDB_MODEL_LOG_INTERVAL]
[--detect_anomaly DETECT_ANOMALY]
[--use_lora USE_LORA]
[--save_lora_only SAVE_LORA_ONLY]
[--lora_conf LORA_CONF]
[--cudnn_enabled CUDNN_ENABLED]
[--cudnn_benchmark CUDNN_BENCHMARK]
[--cudnn_deterministic CUDNN_DETERMINISTIC]
[--valid_batch_size VALID_BATCH_SIZE]
[--fix_duration FIX_DURATION]
[--target_duration TARGET_DURATION]
[--fold_length FOLD_LENGTH]
[--use_preprocessor USE_PREPROCESSOR]
[--save_every SAVE_EVERY] [--resume RESUME]
[--max_utt_per_lang_for_tsne MAX_UTT_PER_LANG_FOR_TSNE]