update

funasr/bin/asr_inference_launch.py

@@ -1327,7 +1327,6 @@ def inference_transducer(
         right_context: Number of frames in right context AFTER subsampling.
         display_partial_hypotheses: Whether to display partial hypotheses.
     """
-    # assert check_argument_types()
 
     if batch_size > 1:
         raise NotImplementedError("batch decoding is not implemented")

funasr/models/encoder/branchformer_encoder.py

@@ -16,7 +16,6 @@ from typing import List, Optional, Tuple, Union
 
 import numpy
 import torch
-from typeguard import check_argument_types
 
 from funasr.models.encoder.abs_encoder import AbsEncoder
 from funasr.modules.cgmlp import ConvolutionalGatingMLP
@@ -321,7 +320,6 @@ class BranchformerEncoder(AbsEncoder):
         padding_idx: int = -1,
         stochastic_depth_rate: Union[float, List[float]] = 0.0,
     ):
-        assert check_argument_types()
         super().__init__()
         self._output_size = output_size
 

funasr/models/encoder/e_branchformer_encoder.py

@@ -13,7 +13,6 @@ import logging
 from typing import List, Optional, Tuple
 
 import torch
-from typeguard import check_argument_types
 
 from funasr.models.ctc import CTC
 from funasr.models.encoder.abs_encoder import AbsEncoder
@@ -210,7 +209,6 @@ class EBranchformerEncoder(AbsEncoder):
         interctc_layer_idx=None,
         interctc_use_conditioning: bool = False,
     ):
-        assert check_argument_types()
         super().__init__()
         self._output_size = output_size
 

funasr/tasks/asr.py

@@ -1538,7 +1538,6 @@ class ASRBATTask(ASRTask):
         Return:
             model: ASR BAT model.
         """
-        assert check_argument_types()
 
         if isinstance(args.token_list, str):
             with open(args.token_list, encoding="utf-8") as f: