modify diar pipeline

志浩

2023-03-16 49ded3a686daa816a58376fa67b8df782ffba312

 funasr/tasks/diar.py

@@ -499,7 +499,7 @@
            config_file: Union[Path, str] = None,
            model_file: Union[Path, str] = None,
            cmvn_file: Union[Path, str] = None,
            device: str = "cpu",
            device: Union[str, torch.device] = "cpu",
    ):
        """Build model from the files.

@@ -554,6 +554,7 @@
                model.load_state_dict(model_dict)
            else:
                model_dict = torch.load(model_file, map_location=device)
        model_dict = cls.fileter_model_dict(model_dict, model.state_dict())
        model.load_state_dict(model_dict)
        if model_name_pth is not None and not os.path.exists(model_name_pth):
            torch.save(model_dict, model_name_pth)
@@ -562,6 +563,20 @@
        return model, args

    @classmethod
    def fileter_model_dict(cls, src_dict: dict, dest_dict: dict):
        from collections import OrderedDict
        new_dict = OrderedDict()
        for key, value in src_dict.items():
            if key in dest_dict:
                new_dict[key] = value
            else:
                logging.info("{} is no longer needed in this model.".format(key))
        for key, value in dest_dict.items():
            if key not in new_dict:
                logging.warning("{} is missed in checkpoint.".format(key))
        return new_dict

    @classmethod
    def convert_tf2torch(
            cls,
            model,