From 580b11b57ac4b62f7e2acda73813a4e10e8e4cd3 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 10 十月 2023 17:17:29 +0800
Subject: [PATCH] v0.8.0

---
 funasr/tasks/sv.py |   23 +++++++++--------------
 1 files changed, 9 insertions(+), 14 deletions(-)

diff --git a/funasr/tasks/sv.py b/funasr/tasks/sv.py
index bef5dc5..e698522 100644
--- a/funasr/tasks/sv.py
+++ b/funasr/tasks/sv.py
@@ -1,3 +1,7 @@
+"""
+Author: Speech Lab, Alibaba Group, China
+"""
+
 import argparse
 import logging
 import os
@@ -13,15 +17,13 @@
 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
 from funasr.layers.abs_normalize import AbsNormalize
 from funasr.layers.global_mvn import GlobalMVN
 from funasr.layers.utterance_mvn import UtteranceMVN
-from funasr.models.e2e_asr import ESPnetASRModel
+from funasr.models.e2e_asr import ASRModel
 from funasr.models.decoder.abs_decoder import AbsDecoder
 from funasr.models.encoder.abs_encoder import AbsEncoder
 from funasr.models.encoder.rnn_encoder import RNNEncoder
@@ -45,7 +47,7 @@
 from funasr.models.specaug.specaug import SpecAug
 from funasr.tasks.abs_task import AbsTask
 from funasr.torch_utils.initialize import initialize
-from funasr.train.abs_espnet_model import AbsESPnetModel
+from funasr.models.base_model import FunASRModel
 from funasr.train.class_choices import ClassChoices
 from funasr.train.trainer import Trainer
 from funasr.utils.types import float_or_none
@@ -90,7 +92,7 @@
     classes=dict(
         espnet=ESPnetSVModel,
     ),
-    type_check=AbsESPnetModel,
+    type_check=FunASRModel,
     default="espnet",
 )
 preencoder_choices = ClassChoices(
@@ -269,7 +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)
 
@@ -277,7 +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,
@@ -305,7 +305,6 @@
             )
         else:
             retval = None
-        assert check_return_type(retval)
         return retval
 
     @classmethod
@@ -326,12 +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]
@@ -445,7 +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 ~~~~~~~~~
@@ -468,7 +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 "
@@ -484,9 +479,9 @@
             args["cmvn_file"] = cmvn_file
         args = argparse.Namespace(**args)
         model = cls.build_model(args)
-        if not isinstance(model, AbsESPnetModel):
+        if not isinstance(model, FunASRModel):
             raise RuntimeError(
-                f"model must inherit {AbsESPnetModel.__name__}, but got {type(model)}"
+                f"model must inherit {FunASRModel.__name__}, but got {type(model)}"
             )
         model.to(device)
         model_dict = dict()

--
Gitblit v1.9.1