From 67ebc38e7d63fab979e3e79cd54d8a007a0b6b0b Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 11 Apr 2023 15:50:53 +0900
Subject: [PATCH] from local

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

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 dd04d7d1e5046984e11111e7a773fd2f39f4c86f..591c7ff5cc3f5fefd2ab594910f1a1eef2374771 100644
GIT binary patch
delta 135
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delta 123
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L7&o`OS4IE;TzMOg

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 aca3e34ac..32b06f290 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
@@ -497,6 +497,7 @@ class Data2VecAudioModel(BaseFairseqModel):
             features = torch.cat([prompt, features], dim=1)
             print(features.size())
             prompt_padding_mask = torch.zeros(prompt.size()).type(torch.BoolTensor).to(features.device)
+            print(prompt_padding_mask.size())
             padding_mask = torch.cat([prompt_padding_mask, padding_mask])
             print(padding_mask.size())