From af9c0098e03ef0b04958d1e215ff4dc7087618c8 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Wed, 12 Apr 2023 14:47:33 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 40960 -> 40960 bytes
 .../data2vec_audio.py                         |   5 +----
 2 files changed, 1 insertion(+), 4 deletions(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp
index 411a98e60c6440e0e4f87b3110649e02a05ce166..4446db558abe93032690c4c4e2b80ebbdaca754d 100644
GIT binary patch
delta 158
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delta 260
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PYjSEqiPh#3_nrs<4ktq0

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py
index e16669348..ec019ad18 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py
@@ -495,10 +495,7 @@ class Data2VecAudioModel(BaseFairseqModel):
             features = torch.cat([prompt, features], dim=1)
             prompt_padding_mask = torch.zeros(prompt.size()[0], prompt.size()[1]).type(torch.BoolTensor).to(features.device)
             try: padding_mask = torch.cat([prompt_padding_mask, padding_mask], dim=1)
-            except:
-                print(padding_mask)
-                print(prompt_padding_mask.size())
-                print(padding_mask.size())
+            except: padding_mask = None
 
         features = self.layer_norm(features)