From 2c0d1bb8ff46eaec28975a9d257d0a42d42814e4 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Mon, 9 Jan 2023 22:42:14 +0900
Subject: [PATCH] from local

---
 .../incremental_transf/.identity_train.py.swp | Bin 77824 -> 77824 bytes
 .../ASR/incremental_transf/identity_train.py  |   3 +--
 .../.checkpoint.py.swp                        | Bin 4096 -> 16384 bytes
 3 files changed, 1 insertion(+), 2 deletions(-)

diff --git a/egs/librispeech/ASR/incremental_transf/.identity_train.py.swp b/egs/librispeech/ASR/incremental_transf/.identity_train.py.swp
index 0d0ea3fc418119b655e80e18e768b4c8d7436023..2dde7af4a2659d91dd577f5b6929e666ea3596af 100644
GIT binary patch
delta 354
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delta 367
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diff --git a/egs/librispeech/ASR/incremental_transf/identity_train.py b/egs/librispeech/ASR/incremental_transf/identity_train.py
index 56f93c676..e5bc815c8 100755
--- a/egs/librispeech/ASR/incremental_transf/identity_train.py
+++ b/egs/librispeech/ASR/incremental_transf/identity_train.py
@@ -979,10 +979,9 @@ def run(rank, world_size, args):
     except: pre_trained_model = torch.load('/home/work/workspace/icefall/egs/librispeech/ASR/incremental_transf/conformer_12layers.pt')
     pre_trained_model = pre_trained_model['model']
     transducer_model.load_state_dict(pre_trained_model, strict=True)
+    transducer_model.to(device)
     model = get_interformer_model(transducer_model.encoder, params)
 
-    del pre_trained_model
-
     for n, p in model.named_parameters():
         if 'pt_encoder' in n:
             p.requires_grad = False
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.checkpoint.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.checkpoint.py.swp
index b7aa68526955169bdef9320ffd03ac339192c7b4..615e63fa85fdf892f87e7c0fcdcbb367c7465a86 100644
GIT binary patch
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