From 82841312039b7d485f1ee934727e978bda02041d Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Wed, 26 Apr 2023 12:20:02 +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 d9f9c7c88afa5597340dfacf01673851551867b8..266c272df6790aa1479ca8f9bbf334918cc9730a 100644
GIT binary patch
delta 128
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delta 145
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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 0e50ab839..44da25cf3 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
@@ -491,6 +491,7 @@ class Data2VecAudioModel(BaseFairseqModel):
         ## for prompt tuning
         if prompt is not None:
             conv_feat_all = torch.tensor([]).to(features.device)
+            print(conv_feat_all.size())
             for i in range(padding_mask.size()[0]):
                 nonzero = padding_mask[i].nonzero()
                 try: