From bd1db7e169a7ef3da0d305593bb9ebe89e4c0fa3 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 11 Apr 2023 15:20:22 +0900
Subject: [PATCH] from local

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

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 0150d818ce0e84475233f0a84fbe08e0974059c7..30d8d9b7856d920971edb36e21cbce52ec126620 100644
GIT binary patch
delta 117
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LtGU_5V^25$xpE@e

delta 100
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v{EwZ1;V%&11mdYc><7f`Kzv}ctYZ=D<PCE<Ci~3O+}!Wh!noPRV^25$00kQI

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 708eecfc4..cbfc809e9 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
@@ -493,7 +493,7 @@ class Data2VecAudioModel(BaseFairseqModel):
             #features = torch.cat([features, prompt])
             features = torch.cat([prompt, features])
             prompt_padding_mask = torch.zeros(promt.size()).type(torch.BoolTensor).to(features.device)
-            padding_mask
+            padding_mask = torch.cat([prompt_padding_mask, padding_mask])
 
         features = self.layer_norm(features)