From 2302449e95752f204a34d299b41095e03e8df914 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Mon, 26 Dec 2022 15:39:46 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 45056 -> 45056 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 8f9332057dcfcf858a65ed6cddb07aa7f52cc587..10aea743cdc85617b721ee3a1e4644772bc38f83 100644
GIT binary patch
delta 401
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delta 402
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Dic(6=

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 46a9981af..e93436e1b 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
@@ -40,7 +40,7 @@ class TransformerEncoderAdapter(TransformerEncoder):
         super().__init__(args)
         self.adapters = ResidualAdapterModule()
         for p in self.adapters.parameters():
-            p.data = nn.parameter.Parameter(torch.zeros(p.size()).to('cuda'))
+            p.data = nn.Parameter(torch.zeros(p.size()).to('cuda'))
             print(p)
 
     def forward(self, x, padding_mask=None, layer=None, tgt_layer=None):