From 895bd08ddc83dd8a25baec33a6faa11ac3e50677 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 11 Apr 2023 15:19:43 +0900
Subject: [PATCH] from local

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

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 9d4f01465d38cb18a385ddd3fe2afc15cab6cb32..0150d818ce0e84475233f0a84fbe08e0974059c7 100644
GIT binary patch
delta 224
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tq@D8fb3#({it~$r!uc9$sfi_}MXAM;FI0(6=JMm7{L_Pb^EnTrZ~$FCKl%Uw

delta 150
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i&vx<=HvvusC{W&fz^#IDGM69s<ewhgo6mU|g#!SW6DA7)

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 20adb7724..708eecfc4 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
@@ -492,6 +492,8 @@ class Data2VecAudioModel(BaseFairseqModel):
         if prompt is not None:
             #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
 
         features = self.layer_norm(features)