From b6d15805fdfc7f9f232dc5c18ba93a229aa2766f Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 2 May 2023 13:50:14 +0900
Subject: [PATCH] from local

---
 .../.bitfit.py.swp                            | Bin 81920 -> 81920 bytes
 .../bitfit.py                                 |   7 +++----
 2 files changed, 3 insertions(+), 4 deletions(-)

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 ab8435a5b8c1e17690174f4356ce950cb9a87b1d..6d02f31b4c7e4bce2598d7398479a29ad67d3e23 100644
GIT binary patch
delta 574
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delta 546
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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 9e673d7f0..35be7f5b7 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/bitfit.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/bitfit.py
@@ -1602,16 +1602,15 @@ def run_adapter(rank, world_size, args, wb=None):
         else:
             p.requires_grad = False
         '''
-    
-    for n, p in model.named_parameters():
-        p.requires_grad = False
-    
     optimizer_adapter = ScaledAdam(
             adapter_param,
             lr=params.adapter_lr,
             clipping_scale=5.0,
             parameters_names=[adapter_names],
         )
+    
+    #for n, p in model.named_parameters():
+    #    p.requires_grad = False
 
     #prompt = torch.randn((100, 512), requires_grad=True)
     #optimizer_adapter = ScaledAdam(