test

语帆

2024-02-23 d60306e7a435053a1ed626213f9fa6fe12af2b3e

test

 examples/industrial_data_pretraining/lcbnet/demo2.sh

@@ -7,8 +7,7 @@
++init_param=${file_dir}/model.pb \
++tokenizer_conf.token_list=${file_dir}/tokens.txt \
++frontend_conf.cmvn_file=${file_dir}/am.mvn \
++input=${file_dir}/wav.scp \
++input=${file_dir}/ocr_text \
++input=[${file_dir}/wav.scp,${file_dir}/ocr_text] \
+data_type='["sound", "text"]' \
++tokenizer_conf.bpemodel=${file_dir}/bpe.model \
++output_dir="./outputs/debug" \

 funasr/auto/auto_model.py

@@ -172,14 +172,11 @@

        # build model
        model_class = tables.model_classes.get(kwargs["model"])
        pdb.set_trace()
        model = model_class(**kwargs, **kwargs["model_conf"], vocab_size=vocab_size)
        pdb.set_trace()
        model.to(device)
        
        # init_param
        init_param = kwargs.get("init_param", None)
        pdb.set_trace()
        if init_param is not None:
            logging.info(f"Loading pretrained params from {init_param}")
            load_pretrained_model(

 funasr/train_utils/load_pretrained_model.py

@@ -96,19 +96,17 @@
    
    obj = model
    dst_state = obj.state_dict()
    # import pdb;
    # pdb.set_trace()
    print(f"ckpt: {path}")
    pdb.set_trace()

    if oss_bucket is None:
        src_state = torch.load(path, map_location=map_location)
    else:
        buffer = BytesIO(oss_bucket.get_object(path).read())
        src_state = torch.load(buffer, map_location=map_location)
    pdb.set_trace()

    if "state_dict" in src_state:
        src_state = src_state["state_dict"]
    pdb.set_trace()

    for k in dst_state.keys():
        if not k.startswith("module.") and "module." + k in src_state.keys():
            k_ddp = "module." + k
@@ -118,7 +116,6 @@
            dst_state[k] = src_state[k_ddp]
        else:
            print(f"Miss key in ckpt: model: {k}, ckpt: {k_ddp}")
    pdb.set_trace()
    flag = obj.load_state_dict(dst_state, strict=True)
    # print(flag)