From 95645d4921f1fdb29a564fab7e4c3dce0dada7f9 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 21 Mar 2023 16:06:23 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 36864 -> 36864 bytes
 .../.decode.py.swp                            | Bin 53248 -> 53248 bytes
 .../data2vec_audio.py                         |   4 ++--
 3 files changed, 2 insertions(+), 2 deletions(-)

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 2b2e90e752878ba468ec183f86a21bf3f5d10da7..7bd95b200cb3b9dd30d2a72747e57fe39097915d 100644
GIT binary patch
delta 37
tcmZozz|^pSX~Pu<M#0Tj9r!pVOL;0zj@99q%<IWJ`LT!6W^2!*ZUFzs4NL$4

delta 37
tcmZozz|^pSX~Pu<Mxo7D9r!pVOL{6zj@99q%;U*B`LT!MW^2!*ZUFzz4NCw3

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.decode.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.decode.py.swp
index b7a4055469784a88ccfbb527f2e158b292420a74..864d9e4b2efd69a1adbd5774e0e0853d55da40f6 100644
GIT binary patch
delta 33
ncmZozz}&EaSuDvQ%+puFQqO<^2m}}yK7~o9TuRs|_Ub$Um&OVi

delta 33
ncmZozz}&EaSuDvQ%+puFQqO<^2m}}yc9}`0thL%G_Ub$UlG+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 5a15a91e6..c2960c8c3 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
@@ -280,8 +280,8 @@ class Data2VecAudioModel(BaseFairseqModel):
             torch.FloatTensor(cfg.encoder_embed_dim).uniform_()
         )
 
-        self.encoder = TransformerEncoder(cfg)
-        #self.encoder = TransformerEncoderAdapter(cfg)
+        #self.encoder = TransformerEncoder(cfg)
+        self.encoder = TransformerEncoderAdapter(cfg)
         self.layer_norm = LayerNorm(self.extractor_embed)
 
         self.final_proj = nn.Linear(self.embed, self.embed)