From fee8a2544beadf6e6dcd93d05f633c1eec59c868 Mon Sep 17 00:00:00 2001 From: dohe0342 Date: Tue, 2 May 2023 13:49:56 +0900 Subject: [PATCH] from local --- .../.bitfit.py.swp | Bin 73728 -> 81920 bytes .../bitfit.py | 7 +++++++ 2 files changed, 7 insertions(+) diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.bitfit.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.bitfit.py.swp index dbee27a9d0f5a572a821f353f31a34e318f0190c..541ad6e4d8ebfd1070dfaa3b4cd576dd9d0d73df 100644 GIT binary patch delta 1230 zcmXxiTSyd99DwmNxvT4Cb$1Ob@v@?(c&DWFO)bQf@|xXQ6w#!lunS}tMIZ7d(~ey! z$;?2>Y@5U|A|oFxG!VrsjifB8gfPh@EBhvG;CFWZGqba>->K-Fo<^4qZC;Pf;U#-txBW6myb>pDseQpb^($Lm(!dg?NWf)Zh%#k%|a}ab z=iex&Y=V;@WXeFfMhVgoj^AXS!8bgB#8G5p z4UBMvf*T}nL>_h{9AQ{+BkdnL&*D8Up$16^!XU{jQHEoP!!L4o;~{EMghGTu+X{N< zFii5RxPZOL!Dgf&0a5UACauEB6s=#Q7ux>lz7tUMdQLqzMHB5qsE!K`-Kvz85<1Ih^0`$2kwbQz*C!6=&Dn zz{Jp~9*YhL;TI{E((^m#%U$($#cwtFUn@$^C~JXMm;Fv;jc;1OI@eKEAJ!6^x>Hw! z+y)&ax^tG6*jL)@qXxgjyc|~oX6>}%HmBmsuys56SXI6Dp#L3NLrZt(d)h?~eIh&f zjt!KsfH9oGNt{4U6?u!NSi*G-B8onIV*E!Gv5YZf(2KJO!GnrNJi<64Xt0Q{_<~oM!89%*1|2Tcog$yHh9a_<#6_G!qlw?fd#tBOFYy9- xTtgBuM4;g>3){vP4BWvGx?wN#*!XibWce~))mTY-U7{0a`GOL*(l<6L{{T>TWM=>X diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/bitfit.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/bitfit.py index b9ec2eb62..8809e7f02 100755 --- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/bitfit.py +++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/bitfit.py @@ -1587,6 +1587,12 @@ def run_adapter(rank, world_size, args, wb=None): adapter_names = [] adapter_param = [] for n, p in model.named_parameters(): + if 'bias' in n: + adapter_names.append(n) + adapter_param.append(p) + else: + p.requires_grad = False + ''' if 'adapters' in n:# or 'joiner' in n or 'simple' in n or 'ctc' in n: adapter_names.append(n) adapter_param.append(p) @@ -1594,6 +1600,7 @@ def run_adapter(rank, world_size, args, wb=None): p.requires_grad = True else: p.requires_grad = False + ''' for n, p in model.named_parameters(): p.requires_grad = False