From 04c11b8fdbbc4e240a9056295d990e28c57df8dd Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Wed, 26 Apr 2023 12:24:15 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 40960 -> 40960 bytes
 .../data2vec_audio.py                         |   4 +---
 2 files changed, 1 insertion(+), 3 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 42cec984ae3abc821f3789d09db19939f3487285..77bce7b5ecd90a8e6ee8f2527bdf9a748dce3640 100644
GIT binary patch
delta 395
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delta 402
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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 3ac294b3d..d99a29aa0 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
@@ -500,9 +500,7 @@ class Data2VecAudioModel(BaseFairseqModel):
                 except:
                     length += features.size()[1]
                     conv_feat_all = torch.cat([conv_feat_all, features[i]])
-            print(length)
-            print(conv_feat_all.size()) 
-            exit()
+            
             prompt = prompt.expand((features.size()[0], prompt.size()[0], prompt.size()[1]))
             features = torch.cat([prompt, features], dim=1)
             prompt_padding_mask = torch.zeros(prompt.size()[0], prompt.size()[1]).type(torch.BoolTensor).to(features.device)