From 4df0c04771291bc36ac5c78ca28463f3317e9b56 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Mon, 9 Jan 2023 20:01:33 +0900
Subject: [PATCH] from local

---
 .../incremental_transf/.identity_train.py.swp | Bin 57344 -> 57344 bytes
 .../ASR/incremental_transf/identity_train.py  |   2 +-
 2 files changed, 1 insertion(+), 1 deletion(-)

diff --git a/egs/librispeech/ASR/incremental_transf/.identity_train.py.swp b/egs/librispeech/ASR/incremental_transf/.identity_train.py.swp
index 094dbb9dee11c2092d18f3db0cdc94ec8cfc7570..8cf25957fa61a2e0e852256309e8c4848dd35a80 100644
GIT binary patch
delta 291
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L)YgJ|DdhhGl*=`o

delta 281
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DyCX8h

diff --git a/egs/librispeech/ASR/incremental_transf/identity_train.py b/egs/librispeech/ASR/incremental_transf/identity_train.py
index 9bbc5a0f6..f7138a066 100755
--- a/egs/librispeech/ASR/incremental_transf/identity_train.py
+++ b/egs/librispeech/ASR/incremental_transf/identity_train.py
@@ -969,7 +969,7 @@ def run(rank, world_size, args):
     pre_trained_model = torch.load('/workspace/icefall/egs/librispeech/ASR/incremental_transf/conformer_12layers.pt')
     pre_trained_model = pre_trained_model['model']
     model.load_state_dict(pre_trained_model, strict=True)
-    
+    print(model) 
     '''
     for n, p in model.named_parameters():
         if 'layer' not in n: