From 2cd8fe46f59d518afe3e7b668eb14e1a9a7bd78a Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 10 Jan 2023 01:10:37 +0900
Subject: [PATCH] from local

---
 .../ASR/incremental_transf/.train.py.swp      | Bin 61440 -> 61440 bytes
 .../ASR/incremental_transf/train.py           |   6 +++---
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/egs/librispeech/ASR/incremental_transf/.train.py.swp b/egs/librispeech/ASR/incremental_transf/.train.py.swp
index 984f98977cf697503d7dd497c3b44f8c8b0cad8b..81afe3cf639d9e1dbdec99cd958be6a9f309df10 100644
GIT binary patch
delta 120
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z192k|djjzv76yhRK->w$mOyL)#O6S(wK;R)L8i$%OZpg%Ht$*z$;fCldDoJj&GVPZ
NF)|u%-nZPz0{{^SAa?)&

delta 119
zcmZp8z})bFSuDvQ%+puFQqO<^2m}}yVr=##e{<X@_HI7w9wr6`oz0vJ%o#PGure@A
z0pcbg_5$L+EDQ`sfw&upt%2AIh%JFwXLIJlgG@{sxs$b)^ljd`B$9FR&LusY=P#3E
MWHj2mZ@H5P078Z#e*gdg

diff --git a/egs/librispeech/ASR/incremental_transf/train.py b/egs/librispeech/ASR/incremental_transf/train.py
index 7e9acd242..eb086e5a8 100755
--- a/egs/librispeech/ASR/incremental_transf/train.py
+++ b/egs/librispeech/ASR/incremental_transf/train.py
@@ -976,7 +976,7 @@ def run(rank, world_size, args):
 
     for n, p in model.named_parameters():
         if 'layer' not in n:
-            try: p.data = pre_trained_model2[n]
+            try: p.data = pre_trained_model1[n]
             except: print(f'pre-trained model has no parameter named {n}.')
         else:
             layer_name_splited = n.split('.')
@@ -984,13 +984,13 @@ def run(rank, world_size, args):
                 layer_name_splited[0] = 'pt_encoder'
                 layer_name_splited[3] = str(int(layer_name_splited[3])//2)
                 old_name = '.'.join(layer_name_splited)
-                try: p.data = pre_trained_model[old_name]
+                try: p.data = pre_trained_model2[old_name]
                 except: print(f'pre-trained model has no parameter named {n}.')
             else:
                 layer_name_splited[0] = 'inter_encoder'
                 layer_name_splited[3] = str(int(layer_name_splited[3])//2+1)
                 old_name = '.'.join(layer_name_splited)
-                try: p.data = pre_trained_model[old_name]
+                try: p.data = pre_trained_model2[old_name]
                 except: print(f'pre-trained model has no parameter named {n}.')