From 802e3ebbe87b4d0fe824236c2493364dcdfe0735 Mon Sep 17 00:00:00 2001 From: dohe0342 Date: Wed, 24 May 2023 13:35:09 +0900 Subject: [PATCH] from local --- .../.train_lora.py.swp | Bin 90112 -> 90112 bytes .../train_lora.py | 4 +++- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp index a4113567040fc88ba8d01230e9748a2631c52540..914514cac6bdf6ef1e8279e9af706c553bf711da 100644 GIT binary patch delta 1228 zcmXxiTS!xJ9KiAa(M{KMx{K3?GN(P58lrZytmds!Ld_m5qYLCRiZXR#LDEJcr4*rq zj#QQ!SX4x%P3WdpK14}Am|d_Cv^EWCA_kF2-(&cP&-Op#>~}c)zs?@Dvqx<{kW`eL zXIYn+Bv^VOe6C}*sfXstP${g#U$66%v@U}&N>aI!jS&X3aue&s|1Xhuw%FKJY?SUs z>g=IH+<-DeB^#0?lS8>|LJ2Yujp+~}#!-(t1_&{T4m6?y`(T9yYK*Cc=*1n#xQGil zgbj#CG|c#;5@Hz7(SlPbLUJh|f$;kCCg?^79-#>`oY;fS$VL`o5strpLVUzK)T0g# zR3a7{uw4D_nyzyxl3C|(u~=L$zAur-t&&lGW0lf$-U;3#Y;gwon9Z9PCEGT@^rFFa_+5hNlGb4pVm=xGp_(EvLtkqs?W z7^0(>cnUY};~MI59J`T&HAuiR#9)N3nqk9!EJY-~(AHJhH8hpUCJZJ_(Nh~*;e-RF z*oG7s;G?Jac!p-2MhP+z1r28C=qD!7hbuS_2kh91^;oR@Fh^6L(TPhqh%HD!Bn;5w zHx13;8=l}M+R%zxRG}EF5f3lN>cLkGpceB-&1o+z*(XT}4I^nvC>qz0+pd%srTYgM C>b$oA delta 741 zcmXxiPe>GT6u|NKTislDXZFv?x@{2dp_O7m#zSN%xGJGS8iaTV2^FJ_=#+}M!7dry zc5xYW4tk2kLqsG+LlI$^kf&TQ2r}54B5DMMr>O6$J^0M;@n+uq_|2Q_iaWdF4v(6H zy?wFEO{Ne*kpt`A*xGVn6GL8Yx`BVwhD*i6cBQifVQt5?&YxsJQi zcF0t9nWccpL)^v{#Bt~s*+(8Z^q~h481Ujy7kP#!7(@%UHIaGbk;7F4vFQ`}j3UyQ zMjI~qBqLFh)7bTjyuedDKnf!m!T>s9A`HPnt;iNiSjQ(kMi;zrbuO^73kKYaNzKA?yU zZs6hw7a#VjI0;ta;58PpfJYccFM8081kT_u)BJ`FSp5x wkNiTVn@x`5_et#s>vwDhj$g4{Zc&NK?zg7yjLZMz{Dq@bVkZmr%6-cJ0B2%)U;qFB diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_lora.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_lora.py index 2982a3294..d83874c08 100755 --- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_lora.py +++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_lora.py @@ -1600,6 +1600,8 @@ def run_adapter(rank, world_size, args, wb=None): adapter_names = [] adapter_param = [] for n, p in model.named_parameters(): + print(n) + ''' if 'adapters' in n:# or 'joiner' in n or 'simple' in n or 'ctc' in n: adapter_names.append(n) adapter_param.append(p) @@ -1607,7 +1609,7 @@ def run_adapter(rank, world_size, args, wb=None): p.requires_grad = True else: p.requires_grad = False - + ''' optimizer_adapter = ScaledAdam( adapter_param, lr=params.adapter_lr,