From a6a7a9e63decc84837371a3eb6985f809947e025 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Mon, 9 Jan 2023 22:38:29 +0900
Subject: [PATCH] from local

---
 .../incremental_transf/.identity_train.py.swp | Bin 77824 -> 77824 bytes
 .../ASR/incremental_transf/identity_train.py  |   4 +++-
 2 files changed, 3 insertions(+), 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 1b670576be0ce7bcdd07d0bcdce8efa675a2b166..e39de7911f9c09994373e6b2b66e27e30862a0bd 100644
GIT binary patch
delta 371
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delta 349
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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 3e9c56035..56f93c676 100755
--- a/egs/librispeech/ASR/incremental_transf/identity_train.py
+++ b/egs/librispeech/ASR/incremental_transf/identity_train.py
@@ -979,8 +979,10 @@ 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)
-
     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