From 8ff991d95a28ad422334ea25cd47db5e5300e57a Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 20 Dec 2022 16:03:24 +0900
Subject: [PATCH] from local

---
 .../.data2vec_encoder.py.swp                  | Bin 16384 -> 16384 bytes
 .../data2vec_encoder.py                       |   9 ---------
 2 files changed, 9 deletions(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_encoder.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_encoder.py.swp
index 30a6bc65850b48cce9c1cec8f386696244b31759..5db563cbf84b6f463bb0be6e5f6c8cf922c06884 100644
GIT binary patch
delta 303
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delta 412
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diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_encoder.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_encoder.py
index 8c79c0f75..37ad7edf1 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_encoder.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_encoder.py
@@ -73,15 +73,6 @@ class FairSeqData2VecEncoder(EncoderInterface):
         model.feature_grad_mult = 0.0 ## for conv network freeze
         model.mask_prob = 0.5 ## for conv network freeze
         
-        if not isinstance(model, Wav2Vec2Model):
-            try:
-                model = model.w2v_encoder.w2v_model
-            
-            except:
-                print(
-                    "using data2vec ..."
-                )
-
         self.encoders = model
         self.pretrained_params = copy.deepcopy(model.state_dict())