From 06613673c2aac42faca9bedd1a698f37716031b1 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 30 Mar 2023 13:42:02 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 36864 -> 36864 bytes
 .../.train_adapter.py.swp                     | Bin 94208 -> 94208 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 8e6babbb853389532983326de78a0cb764912b7a..4139bcfe4c5822193ce3f1956a8125dacc1e690b 100644
GIT binary patch
delta 62
zcmZozz|^pSNj%9Q%+puFQqO<^2m}}yCJCyhC=`@#6yNK>D7g8m10Tm^DNn`8u{s=+
Rc|Cb2KlV`CZ0&i}4FCai5!wI%

delta 62
zcmZozz|^pSNj%9Q%+puFQqO<^2m}}y_H9#6Nncv9QGBlhqtNE74tyMwB|ViU$LerQ
R=JDj6{MbWrv$f|@Hvlkv6CVHo

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp
index ea074391fd549d2b996ad9adf0a5767646fc8534..d4880bde8037012e101f5a0941003db03222a38c 100644
GIT binary patch
delta 37
rcmZp8z}oPDRXoWc%+puFQqO<^2m}}yrV6U2xEGW*if<KXe3=gb!($3R

delta 37
rcmZp8z}oPDRXoWc%+puFQqO<^2m}}yoWfL6ZagSy6yGY&_%a^=%is$z

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)