From 6427c834dfd97b1f05c6659cdc7ccf010bf82fe1 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 24 四月 2023 19:50:07 +0800
Subject: [PATCH] update

---
 funasr/models/e2e_sv.py |   23 ++++++-----------------
 1 files changed, 6 insertions(+), 17 deletions(-)

diff --git a/funasr/models/e2e_sv.py b/funasr/models/e2e_sv.py
index eff63d9..582c25d 100644
--- a/funasr/models/e2e_sv.py
+++ b/funasr/models/e2e_sv.py
@@ -10,22 +10,11 @@
 import torch
 from typeguard import check_argument_types
 
-from funasr.layers.abs_normalize import AbsNormalize
-from funasr.losses.label_smoothing_loss import (
-    LabelSmoothingLoss,  # noqa: H301
-)
-from funasr.models.ctc import CTC
 from funasr.models.decoder.abs_decoder import AbsDecoder
-from funasr.models.encoder.abs_encoder import AbsEncoder
-from funasr.models.frontend.abs_frontend import AbsFrontend
 from funasr.models.postencoder.abs_postencoder import AbsPostEncoder
 from funasr.models.preencoder.abs_preencoder import AbsPreEncoder
-from funasr.models.specaug.abs_specaug import AbsSpecAug
-from funasr.modules.add_sos_eos import add_sos_eos
-from funasr.modules.e2e_asr_common import ErrorCalculator
-from funasr.modules.nets_utils import th_accuracy
+from funasr.models.base_model import FunASRModel
 from funasr.torch_utils.device_funcs import force_gatherable
-from funasr.train.abs_espnet_model import AbsESPnetModel
 
 if LooseVersion(torch.__version__) >= LooseVersion("1.6.0"):
     from torch.cuda.amp import autocast
@@ -36,18 +25,18 @@
         yield
 
 
-class ESPnetSVModel(AbsESPnetModel):
+class ESPnetSVModel(FunASRModel):
     """CTC-attention hybrid Encoder-Decoder model"""
 
     def __init__(
             self,
             vocab_size: int,
             token_list: Union[Tuple[str, ...], List[str]],
-            frontend: Optional[AbsFrontend],
-            specaug: Optional[AbsSpecAug],
-            normalize: Optional[AbsNormalize],
+            frontend: Optional[torch.nn.Module],
+            specaug: Optional[torch.nn.Module],
+            normalize: Optional[torch.nn.Module],
             preencoder: Optional[AbsPreEncoder],
-            encoder: AbsEncoder,
+            encoder: torch.nn.Module,
             postencoder: Optional[AbsPostEncoder],
             pooling_layer: torch.nn.Module,
             decoder: AbsDecoder,

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