From d381e8df5ca3de17b9c9040c05e80908696f9549 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 11 Apr 2023 15:57:01 +0900
Subject: [PATCH] from local

---
 .../.prompt_tuning.py.swp                     | Bin 86016 -> 86016 bytes
 .../prompt_tuning.py                          |   2 ++
 2 files changed, 2 insertions(+)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.prompt_tuning.py.swp
index 38691021af888314571fa83ffafea55a970f8049..523ca22d9eb961dd9591d2fb7145181c39f45a54 100644
GIT binary patch
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diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
index ed8f12988..8a2c0bad2 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/prompt_tuning.py
@@ -1603,12 +1603,14 @@ def run_adapter(rank, world_size, args, wb=None):
     '''
 
     prompt = torch.nn.Parameter(torch.randn(50, 512)).to(device)
+    print(prompt)
     optimizer_adapter = ScaledAdam(
             [prompt],
             lr=params.adapter_lr,
             clipping_scale=5.0,
             parameters_names=['prompt'],
     )
+    
     scheduler_adapter = Eden(optimizer_adapter, 10000, 7) #params.lr_batche, params.lr_epochs)
 
     optimizer, scheduler = optimizer_adapter, scheduler_adapter