From 796be81be8866d3a90cece1ed22d7db9e0eb7206 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 11 Apr 2023 16:31:49 +0900
Subject: [PATCH] from local

---
 .../.model.py.swp                             | Bin 28672 -> 28672 bytes
 .../.prompt_tuning.py.swp                     | Bin 102400 -> 102400 bytes
 .../prompt_tuning.py                          |   3 ++-
 3 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.model.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.model.py.swp
index 27bdce919863856212081ba341faa13d46dae5eb..e41d0df7e495505d266fa33360996aef108bcd5f 100644
GIT binary patch
delta 33
ncmZp8z}WDBQ7p+I%+puFQqO<^2m}}yHt?9H@UPh@_9`C$p3DhO

delta 33
ncmZp8z}WDBQ7p+I%+puFQqO<^2m}}y=5w2-h^*Qu_9`C$o-GMK

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp
index 4457d5d831c810ab558a3119abd374924b59fbf9..5bc9a1a966d6a12c3e56e63157bf233780f7ceb3 100644
GIT binary patch
delta 165
zcmZozz}B#UZ9{+%qil1a(Dpzf#?8LGdE5*P|A3f5fPq1Fx?lpMdQdMP149WA7Xz^^
z5c2}@RbB>$^FVwKh<5_<A|P%6VpAYC0AdXw76js7JV13o+z7<6Kx_%b|F}0ZvXpR7
lZ-`^$*shSn*u=!=m!Fr)pa2ER+c_i|4H>r|&u6q$003^{AL0N2

delta 139
zcmZozz}B#UZ9{+%qfB$4(Dpzf#?8LGJ=_co5<CnH3<3-cGSdYU7}fpy_!t;^fjAt9
z)q(guF9X9%AbtVFmw|W>5YGZ)e<1b(VkaQh24WE)ehD;cHV~HsaWD`|@N8yenZ!N4
TA&!w_Gmq0I=IxjA8TAwZY@Zs$

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
index 6553f37a1..34f70304c 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
@@ -1572,7 +1572,8 @@ def run_adapter(rank, world_size, args, wb=None):
     model_avg: Optional[nn.Module] = None
     if rank == 0:
         # model_avg is only used with rank 0
-        model_avg = copy.deepcopy(model).to(torch.float64)
+        #model_avg = copy.deepcopy(model).to(torch.float64)
+        model_avg = None
 
     assert params.start_epoch > 0, params.start_epoch
     checkpoints = load_checkpoint_if_available(