From daddc24b5212afb85bb8c498a9221e724bac106d Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Mon, 26 Dec 2022 13:59:38 +0900
Subject: [PATCH] from local

---
 .../.train.py.swp                             | Bin 94208 -> 94208 bytes
 .../train.py                                  |  32 ------------------
 2 files changed, 32 deletions(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp
index f58aac96c7fdf7d59c10172ce81e1c3b2804bca0..b78622296206be10d440579e43f64b9676907c9e 100644
GIT binary patch
delta 870
zcmbW$%}W$<7zgm@X=mJ>c4uD(ccV9U^^jrYuCsy(ncbG8XzUQU>nf-OMweVcD%6es
zfWjf4h{$v0C9J0C5Y!<A?d4cdEFH>T(7hDY#lB;(Izg9y@PT<Ae*AvV^UO@SqLwRa
zVlZ>^$gxyMONOwbM9s~&h8kbrP3$mOvs;ZMw_oZpoF0SccTe5(6U_zw>}z-TW4(+J
zy@2abh8%=JhYw+*NAM8N!#UUwKXsy2Sb{~k3B%A2MMwj|^AOQfxClo>G(~YdybTh)
zff*Qw9Bcy(-fcyJFbNY-fDi=Xi$?SrUcr610T&<-9k2)du#5(mz-{yn+=kOI5-1Su
z#ltU5VHw<M*f0$zU^@iiaUD?!OlX1?mFNk~!Zb|61ayJ|KNO<xPO+7*`6Qj?kS{eh
zXj{kQa=DG`WG%~vTrpV{%VhsQ@;jxP<$#{rw8lJJRZnDWDGhlO8#l;RlM}L<<;GfW
z{q%-fn3Sr?T@pb}v4P<;o9_J2!W-<BZtbsb>qk4i2M>&oj(BV4k~gjuxXYb}E=_Hm
zl=m2)U2Rd^)J6-5_3GyrKQ8#3X9xI@@4;bKqWT=Z&2QlT2b#nz-WUFaa28HMF6?w$
pyr$dfg@9BFTra&v9Gc0qGLy%v>gwZ&obBU-Vih>*eC_9W>^D=!!e9UZ

delta 488
zcmXBR&nv@m9LMqZ$9MB{-;Je(rMU?;<7Od+8l|>YF7u<vRZf!0{D^;GG$kqJ;NYN@
zFD{A{#mtq`N+~~*rulU+PkGg&-iO!e^`1$YXHsUzkf*n+r>e>A5mGEtUb{8?ncQ(y
z*p(h_u)9=nK43Qjb``ITbZR2orvF~>uTS=DA_lfF1`q1tgcUDVkwYvZ3@_5U$Oe`W
zf)f?^vWT1@js<j}9ks}@NJJDzvPk3-tC)okHdt|2C~|;(gfR&>z6(TNk-!DkF@ix1
zzypQTe34_!p$87!<cVA(mKPG4;P9agg}BXS5kxSJKIpLE$t?1SE9_zoQwYI}YUJaA
zMH5DUgIdvIwnk-+pWmNp#!<6s)#5AZthU>xOvU;p`(*I<BRy8)S9R89rW{8LGP=?2
YS6My!^X7=wyt|@RAEU<efGREd1sn-i(*OVf

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
index 70c174af3..17b214cbe 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
@@ -1530,38 +1530,6 @@ def run_adapter(rank, world_size, args, wb=None):
         )
     scheduler_adapter = Eden(optimizer_adapter, 0, 0) #params.lr_batche, params.lr_epochs)
     
-    if checkpoints and ("optimizer" in checkpoints or "optimizer_enc" in checkpoints):
-        if params.multi_optim:
-            logging.info("Loading optimizer state dict")
-            optimizer_enc.load_state_dict(checkpoints["optimizer_enc"])
-            optimizer_dec.load_state_dict(checkpoints["optimizer_dec"])
-
-        else:
-            logging.info("Loading optimizer state dict")
-            optimizer.load_state_dict(checkpoints["optimizer"])
-
-    if checkpoints:
-        if (
-            params.multi_optim 
-            and "scheduler_enc" in checkpoints
-            and checkpoints["scheduler_enc"] is not None
-        ):
-            logging.info("Loading enc/dec scheduler state dict")
-            scheduler_enc.load_state_dict(checkpoints["scheduler_enc"])
-            scheduler_dec.load_state_dict(checkpoints["scheduler_dec"])        
-        else:
-            logging.info("Loading scheduler state dict")
-            scheduler.load_state_dict(checkpoints["scheduler"])
-
-    if params.print_diagnostics:
-        opts = diagnostics.TensorDiagnosticOptions(
-            2**22
-        )  # allow 4 megabytes per sub-module
-        diagnostic = diagnostics.attach_diagnostics(model, opts)
-
-    if params.inf_check:
-        register_inf_check_hooks(model)
-
     librispeech = LibriSpeechAsrDataModule(args)
 
     train_cuts = librispeech.train_clean_100_cuts()