From 29a3f882f00107472c27c29f4196d37f846b252f Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Mon, 26 Dec 2022 15:38:01 +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 0b648eee8f92593f86373059f0193ed2f5065eff..9706d9a0c64e0bcc0607cc36615ea019811ebafc 100644
GIT binary patch
delta 431
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delta 404
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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 5b8d4dedf..3dcac229c 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 = torch.nn.parameters(0.)
+            p.data = torch.nn.parameters(torch.zeros(p.size()).to('cuda'))
 
     def forward(self, x, padding_mask=None, layer=None, tgt_layer=None):
         x, layer_results = self.extract_features_with_adapter(