From 8ee28e937a4ba2517014c7d9c35fbc3f8986eb9f Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 11 Apr 2023 16:13:39 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 40960 -> 40960 bytes
 .../.prompt_tuning.py.swp                     | Bin 90112 -> 90112 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 2d84528ca79a9f4dd4fa8c8cd27fb7b63a4642d7..5052faffe1f9d8956e2ec906abb1cd7a5f4dfe24 100644
GIT binary patch
delta 37
tcmZoTz|?SnX~UHSMxo7D6ZkkLOJ*ufj@99q%#+DG`EiEgX6wwOW&jio4m$t<

delta 37
tcmZoTz|?SnX~UHSM#0Tj6ZkkLOJyofj@99q%$vzO`EiEQX6wwOW&jih4m<z=

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp
index f6a3372160329d1156d05da83e912c34bc12de03..9042b3f078d7088f1a1bca4450a9a8697ec5678d 100644
GIT binary patch
delta 35
pcmZoTz}j$tRW!*U%+puFQqO<^2m}}yA~;M_4m65x6=i%K4*;h?2}u9|

delta 35
pcmZoTz}j$tRW!*U%+puFQqO<^2m}}yzO$RABs7X{6=i%K4*;vF35Ngx

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 e6dfff769..383a98a00 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)