From 06c7020a0ec27f9dffc59f271471670f20612259 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 4 May 2023 13:49:57 +0900
Subject: [PATCH] from local

---
 egs/librispeech/ASR/.lastlayer_all.sh.swp     | Bin 12288 -> 12288 bytes
 .../.last_layer.py.swp                        | Bin 81920 -> 81920 bytes
 .../last_layer.py                             |   7 ++++++-
 3 files changed, 6 insertions(+), 1 deletion(-)

diff --git a/egs/librispeech/ASR/.lastlayer_all.sh.swp b/egs/librispeech/ASR/.lastlayer_all.sh.swp
index 86e5b9297113fb93d94897feeea280aa0715c1e4..575cc786ce7c8a9fb7b12f563b4ac42bc1d4a859 100644
GIT binary patch
delta 30
kcmZojXh;xEG6?hZRj|}EU;qLE28Njy!6`2{ioVtd0D0XAYybcN

delta 30
kcmZojXh;xEG6?hZRj|}EU;qLE28LdX;FNV6MPKU!0C-9WB>(^b

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.last_layer.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.last_layer.py.swp
index f8c8e6734c1f2e97f1d86fad051bc708f788f44c..34562006825760526427b785e4c7ac0c04eee0a5 100644
GIT binary patch
delta 325
zcmZo@U~On%-EcvWkz?~kL1R5uO9lo8%gvk)?-{);nHU&YfY<<t6`&w9O+h_1FF8LY
zwMY+27whFDR;Cuk=j9jWsw-sXDX3@VXXd3AslzoXZ+3DzBx@AM$G|WPh#3SJ7&w3w
z2*mI+FjxSw2oSRY@gt!8H6Y#xR=e5IAcb%8*@Zllb>cWCD>z9`ewr^mdCoVU$t&Z8
zCKtqVO`hg229)ESzFmY-9HxjEH|8ni7h&;9T4r8iPJBU8eiqm#sH*ZyOA1O$;=#U!
NNKcNBH(FG10RV+)U#tKC

delta 124
zcmZo@U~On%-EcvWk$Lk)L1R5uD+UGztIeDa?-_-ym>3uwfY<<td4L!QCd<c(PF|NM
z$*BMXo1L5v$;wUOXJFU?#0&xq49sAa3=Cg@{5xRr&4vc;{1YGWPd>YlXR=Nl2haqQ
HMFkfCd9@v7

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/last_layer.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/last_layer.py
index a5c5835b9..885a2be00 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/last_layer.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/last_layer.py
@@ -1587,7 +1587,12 @@ def run_adapter(rank, world_size, args, wb=None):
     adapter_names = []
     adapter_param = []
     for enum, (n, p) in enumerate(model.named_parameters()):
-        print(enum, n, p) 
+        #print(enum, n, p) 
+        if 'encoder.encoders.layer_norm' in n or 'encoder.encoders.final_proj' in n or 'encoder.output_layer' in n or 'joiner' in n or 'simple' in n or 'ctc' in n:
+            adapter_names.append(n)
+            adapter_param.append(p)
+        else:
+            p.requires_grad = False
         '''
         if 'bias' in n:
             adapter_names.append(n)