From eff27197c01fc7a6a83b7009cc9ddf7744a3b859 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 27 Apr 2023 16:31:05 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 36864 -> 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 89d383935ce307b3d3e8d89e2397cda11d8d2607..639b70d5048154ae2ab33ac4e1d73081d1160b73 100644
GIT binary patch
delta 271
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Q7VgPs8+kUbaLi)?0L0TY!vFvP

delta 105
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DbC(-X

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 ab3563f61..c322a3990 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
@@ -504,7 +504,7 @@ class Data2VecAudioModel(BaseFairseqModel):
                         conv_feat_all = torch.cat([conv_feat_all, features[i]])
                 
                 randint = np.random.randint(10000)
-                np.save(f'/home/work/workspace/icefall/egs/librispeech/ASR/conv_feat/{randint}.npy', conv_feat_all.cpu().numpy())
+                np.save(f'/home/work/workspace/icefall/egs/librispeech/ASR/conv_feat/{sid}/{randint}.npy', conv_feat_all.cpu().numpy())
             
             prompt = prompt.expand((features.size()[0], prompt.size()[0], prompt.size()[1]))
             features = torch.cat([prompt, features], dim=1)