From 61f00e84c2cc5f3e9eab8dba5c96ea8aa61e0721 Mon Sep 17 00:00:00 2001
From: hnluo <haoneng.lhn@alibaba-inc.com>
Date: 星期一, 06 十一月 2023 17:13:22 +0800
Subject: [PATCH] Merge pull request #1062 from alibaba-damo-academy/dev_lhn

---
 funasr/tasks/punctuation.py |   23 ++++++-----------------
 1 files changed, 6 insertions(+), 17 deletions(-)

diff --git a/funasr/tasks/punctuation.py b/funasr/tasks/punctuation.py
index ea1e102..de5c897 100644
--- a/funasr/tasks/punctuation.py
+++ b/funasr/tasks/punctuation.py
@@ -9,15 +9,12 @@
 
 import numpy as np
 import torch
-from typeguard import check_argument_types
-from typeguard import check_return_type
 
 from funasr.datasets.collate_fn import CommonCollateFn
 from funasr.datasets.preprocessor import PuncTrainTokenizerCommonPreprocessor
-from funasr.punctuation.abs_model import AbsPunctuation
-from funasr.punctuation.espnet_model import ESPnetPunctuationModel
-from funasr.punctuation.target_delay_transformer import TargetDelayTransformer
-from funasr.punctuation.vad_realtime_transformer import VadRealtimeTransformer
+from funasr.train.abs_model import PunctuationModel
+from funasr.models.target_delay_transformer import TargetDelayTransformer
+from funasr.models.vad_realtime_transformer import VadRealtimeTransformer
 from funasr.tasks.abs_task import AbsTask
 from funasr.text.phoneme_tokenizer import g2p_choices
 from funasr.torch_utils.initialize import initialize
@@ -31,7 +28,6 @@
 punc_choices = ClassChoices(
     "punctuation",
     classes=dict(target_delay=TargetDelayTransformer, vad_realtime=VadRealtimeTransformer),
-    type_check=AbsPunctuation,
     default="target_delay",
 )
 
@@ -49,7 +45,6 @@
     @classmethod
     def add_task_arguments(cls, parser: argparse.ArgumentParser):
         # NOTE(kamo): Use '_' instead of '-' to avoid confusion
-        assert check_argument_types()
         group = parser.add_argument_group(description="Task related")
 
         # NOTE(kamo): add_arguments(..., required=True) can't be used
@@ -79,7 +74,7 @@
         group.add_argument(
             "--model_conf",
             action=NestedDictAction,
-            default=get_default_kwargs(ESPnetPunctuationModel),
+            default=get_default_kwargs(PunctuationModel),
             help="The keyword arguments for model class.",
         )
 
@@ -128,7 +123,6 @@
             # e.g. --encoder and --encoder_conf
             class_choices.add_arguments(group)
 
-        assert check_return_type(parser)
         return parser
 
     @classmethod
@@ -138,14 +132,12 @@
         [Collection[Tuple[str, Dict[str, np.ndarray]]]],
         Tuple[List[str], Dict[str, torch.Tensor]],
     ]:
-        assert check_argument_types()
         return CommonCollateFn(int_pad_value=0)
 
     @classmethod
     def build_preprocess_fn(
             cls, args: argparse.Namespace, train: bool
     ) -> Optional[Callable[[str, Dict[str, np.array]], Dict[str, np.ndarray]]]:
-        assert check_argument_types()
         token_types = [args.token_type, args.token_type]
         token_lists = [args.token_list, args.punc_list]
         bpemodels = [args.bpemodel, args.bpemodel]
@@ -163,7 +155,6 @@
             )
         else:
             retval = None
-        assert check_return_type(retval)
         return retval
 
     @classmethod
@@ -183,8 +174,7 @@
         return retval
 
     @classmethod
-    def build_model(cls, args: argparse.Namespace) -> ESPnetPunctuationModel:
-        assert check_argument_types()
+    def build_model(cls, args: argparse.Namespace) -> PunctuationModel:
         if isinstance(args.token_list, str):
             with open(args.token_list, encoding="utf-8") as f:
                 token_list = [line.rstrip() for line in f]
@@ -218,12 +208,11 @@
         # Assume the last-id is sos_and_eos
         if "punc_weight" in args.model_conf:
             args.model_conf.pop("punc_weight")
-        model = ESPnetPunctuationModel(punc_model=punc, vocab_size=vocab_size, punc_weight=punc_weight_list, **args.model_conf)
+        model = PunctuationModel(punc_model=punc, vocab_size=vocab_size, punc_weight=punc_weight_list, **args.model_conf)
 
         # FIXME(kamo): Should be done in model?
         # 3. Initialize
         if args.init is not None:
             initialize(model, args.init)
 
-        assert check_return_type(model)
         return model

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