From 4ace5a95b052d338947fc88809a440ccd55cf6b4 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 16 十一月 2023 16:39:52 +0800
Subject: [PATCH] funasr pages

---
 funasr/models/data2vec.py |   22 +++++++++++-----------
 1 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/funasr/models/data2vec.py b/funasr/models/data2vec.py
index 380c137..425794d 100644
--- a/funasr/models/data2vec.py
+++ b/funasr/models/data2vec.py
@@ -10,11 +10,14 @@
 from typing import Tuple
 
 import torch
-from typeguard import check_argument_types
 
-from funasr.models.preencoder.abs_preencoder import AbsPreEncoder
-from funasr.torch_utils.device_funcs import force_gatherable
+from funasr.layers.abs_normalize import AbsNormalize
 from funasr.models.base_model import FunASRModel
+from funasr.models.encoder.abs_encoder import AbsEncoder
+from funasr.models.frontend.abs_frontend import AbsFrontend
+from funasr.models.preencoder.abs_preencoder import AbsPreEncoder
+from funasr.models.specaug.abs_specaug import AbsSpecAug
+from funasr.torch_utils.device_funcs import force_gatherable
 
 if LooseVersion(torch.__version__) >= LooseVersion("1.6.0"):
     from torch.cuda.amp import autocast
@@ -30,13 +33,12 @@
 
     def __init__(
             self,
-            frontend: Optional[torch.nn.Module],
-            specaug: Optional[torch.nn.Module],
-            normalize: Optional[torch.nn.Module],
-            preencoder: Optional[AbsPreEncoder],
-            encoder: torch.nn.Module,
+            frontend: Optional[AbsFrontend],
+            specaug: Optional[AbsSpecAug],
+            normalize: Optional[AbsNormalize],
+            encoder: AbsEncoder,
+            preencoder: Optional[AbsPreEncoder] = None,
     ):
-        assert check_argument_types()
 
         super().__init__()
 
@@ -53,7 +55,6 @@
             speech_lengths: torch.Tensor,
     ) -> Tuple[torch.Tensor, Dict[str, torch.Tensor], torch.Tensor]:
         """Frontend + Encoder + Calc loss
-
         Args:
             speech: (Batch, Length, ...)
             speech_lengths: (Batch, )
@@ -102,7 +103,6 @@
             speech_lengths: torch.Tensor,
     ):
         """Frontend + Encoder.
-
         Args:
             speech: (Batch, Length, ...)
             speech_lengths: (Batch, )

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