From 98abc0e5ac1a1da0fe1802d9ffb623802fbf0b2f Mon Sep 17 00:00:00 2001
From: jmwang66 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期四, 29 六月 2023 16:30:39 +0800
Subject: [PATCH] update setup (#686)

---
 funasr/tasks/sv.py |    9 ---------
 1 files changed, 0 insertions(+), 9 deletions(-)

diff --git a/funasr/tasks/sv.py b/funasr/tasks/sv.py
index e4815da..e698522 100644
--- a/funasr/tasks/sv.py
+++ b/funasr/tasks/sv.py
@@ -17,8 +17,6 @@
 import numpy as np
 import torch
 import yaml
-from typeguard import check_argument_types
-from typeguard import check_return_type
 
 from funasr.datasets.collate_fn import CommonCollateFn
 from funasr.datasets.preprocessor import CommonPreprocessor
@@ -273,7 +271,6 @@
         [Collection[Tuple[str, Dict[str, np.ndarray]]]],
         Tuple[List[str], Dict[str, torch.Tensor]],
     ]:
-        assert check_argument_types()
         # NOTE(kamo): int value = 0 is reserved by CTC-blank symbol
         return CommonCollateFn(float_pad_value=0.0, int_pad_value=-1)
 
@@ -281,7 +278,6 @@
     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()
         if args.use_preprocessor:
             retval = CommonPreprocessor(
                 train=train,
@@ -309,7 +305,6 @@
             )
         else:
             retval = None
-        assert check_return_type(retval)
         return retval
 
     @classmethod
@@ -330,12 +325,10 @@
         retval = ()
         if inference:
             retval = ("ref_speech",)
-        assert check_return_type(retval)
         return retval
 
     @classmethod
     def build_model(cls, args: argparse.Namespace) -> ESPnetSVModel:
-        assert check_argument_types()
         if isinstance(args.token_list, str):
             with open(args.token_list, encoding="utf-8") as f:
                 token_list = [line.rstrip() for line in f]
@@ -449,7 +442,6 @@
         if args.init is not None:
             initialize(model, args.init)
 
-        assert check_return_type(model)
         return model
 
     # ~~~~~~~~~ The methods below are mainly used for inference ~~~~~~~~~
@@ -472,7 +464,6 @@
             device: Device type, "cpu", "cuda", or "cuda:N".
 
         """
-        assert check_argument_types()
         if config_file is None:
             assert model_file is not None, (
                 "The argument 'model_file' must be provided "

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