From ece77f3a463b31afd1d1f83dd42b33fbb40e75ea Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 11 Apr 2023 14:05:52 +0900
Subject: [PATCH] from local

---
 .../.train_adapter.py.swp                     | Bin 77824 -> 77824 bytes
 .../train_adapter.py                          |   4 +++-
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp
index f3fa459eed944ce601ab0f6020164dda1823d765..f92236046dbaf70c8a246c6888bdfb0ba4223e4b 100644
GIT binary patch
delta 500
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zK2@>yL<3sts^-7x`x_$m3q|%2#SXlv$4>!ujA8@>aNyA*@_-ah5QZPksKaZ%NCds`
zz>1Vv<jgDqiI9wA2yT3sMBZ@=1-l4f3Ld!dWfVC?0*h!x6F&1;0C9|=2E}+Xh-9#h
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z1y<Zw=ZIWk6BB4h8>(=_Tdom<8hV?ysmUXYDYTv_34I?M)tB?6R_k;+mlcD?rk-9l
G4E_T2K3T8;

delta 492
zcmXBRO(??w7{~G7Y&Oii9CjgMMO@4Q;pD(Ua*({l!I%R{$$^_K;f8RS!bLfv^_Q`P
zv4aRHm#x%F6bH)<2l*~feV(44=c(uL_!Aa?!r~mN?rv=_X{f3ektdD5*9;E_og4Wk
zuMy1e-18OEzcl?1y{RQ4lq(%#08OyrEJvEg6h`1i(jk2yj$7<v1}$jBceWJ7AUaWi
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z7rv}g6k)4RTBitL6mC?a0zc`}4OX#;d3aEVBK%sUCtPD6JJ`Y|`caOgSvr7$33Q+o
zpJ~!FLS>`{^r8o~c;y{0h$8ix3)9L&@!IK1hH(;cWUY<uWg4-Ym^l!#nH<K|eZA)o
D(!*C;

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
index ffab01c73..902e67036 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
@@ -1363,6 +1363,8 @@ def run(rank, world_size, args, wb=None):
 
         scheduler = Eden(optimizer, params.lr_batches, params.lr_epochs)
 
+    '''
+
     if checkpoints and ("optimizer" in checkpoints or "optimizer_enc" in checkpoints):
         if params.multi_optim:
             logging.info("Loading optimizer state dict")
@@ -1385,7 +1387,7 @@ def run(rank, world_size, args, wb=None):
         else:
             logging.info("Loading scheduler state dict")
             scheduler.load_state_dict(checkpoints["scheduler"])
-
+    '''
     if params.print_diagnostics:
         opts = diagnostics.TensorDiagnosticOptions(
             2**22