From 0207b964263f279ec9b44bc7f77dc1c96d84f024 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 3 Jan 2023 13:41:44 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 45056 -> 45056 bytes
 .../data2vec_audio.py                         |   6 ++++--
 2 files changed, 4 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 28225c5c7ecf78374778e71dac8f8be906e6ad4a..d5954b67944386ffd8e15691116aec841ab9132b 100644
GIT binary patch
delta 543
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ConYbs

delta 482
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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 e85f80260..5cd4af817 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
@@ -145,9 +145,11 @@ class ResidualAdapterModule(nn.Module):
         
         super().__init__()
         
-        self.adapters = ConvolutionModule(768, 31)
         def build_adapter(embedding_dim, proj_dim, type_='conv'):
-            return nn.Sequential(
+            if type_ == 'conv':
+                return ConvolutionModule(768, 31)
+            else:
+                return nn.Sequential(
                     #nn.LayerNorm(embedding_dim),
                     nn.Linear(embedding_dim, proj_dim),
                     nn.ReLU(),