From fe3efe7f42c815f785b9575b45570d3f7aa5f86d Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Wed, 26 Apr 2023 12:27:10 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 40960 -> 40960 bytes
 .../data2vec_audio.py                         |   3 +++
 2 files changed, 3 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 77bce7b5ecd90a8e6ee8f2527bdf9a748dce3640..26bbad36f9a75bef173e9afe1a0da9543b918803 100644
GIT binary patch
delta 195
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PO>XiAW!B9$?nfd3B&axz

delta 143
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TTaaH=qA>Yki|A$>_ahMiP>m<j

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 d99a29aa0..969854434 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
@@ -501,6 +501,9 @@ class Data2VecAudioModel(BaseFairseqModel):
                     length += features.size()[1]
                     conv_feat_all = torch.cat([conv_feat_all, features[i]])
             
+            randint = np.random.randint(10000)
+            np.save(conv_feat_all.cpu().numpy(), '/home/work/workspace/icefall/egs/librispeech/ASR/conv_feat/
+            
             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)