Update SDK_tutorial_zh.md

zhifu gao

2023-07-03 edec2fe85eda80ff1e24aef30b36c7bbbb55ec2a

 funasr/bin/build_trainer.py

@@ -23,6 +23,8 @@
        from funasr.tasks.asr import ASRTask as ASRTask
    elif mode == "paraformer":
        from funasr.tasks.asr import ASRTaskParaformer as ASRTask
    elif mode == "paraformer_streaming":
        from funasr.tasks.asr import ASRTaskParaformer as ASRTask
    elif mode == "paraformer_vad_punc":
        from funasr.tasks.asr import ASRTaskParaformer as ASRTask
    elif mode == "uniasr":
@@ -83,8 +85,7 @@
        finetune_configs = yaml.safe_load(f)
        # set data_types
        if dataset_type == "large":
            if 'data_types' not in finetune_configs['dataset_conf']:
                finetune_configs["dataset_conf"]["data_types"] = "sound,text"
            finetune_configs["dataset_conf"]["data_types"] = "sound,text"
    finetune_configs = update_dct(configs, finetune_configs)
    for key, value in finetune_configs.items():
        if hasattr(args, key):
@@ -132,8 +133,7 @@
        if args.dataset_type == "small":
            args.batch_bins = batch_bins
        elif args.dataset_type == "large":
            # args.dataset_conf["batch_conf"]["batch_size"] = batch_bins
            pass
            args.dataset_conf["batch_conf"]["batch_size"] = batch_bins
        else:
            raise ValueError(f"Not supported dataset_type={args.dataset_type}")
    if args.normalize in ["null", "none", "None"]: