From 8baea390fac94a881296a1142da80edc47a8db13 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Wed, 24 May 2023 13:50:47 +0900
Subject: [PATCH] from local

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

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 dd530b7028c289e21e7e642da08f72b3f48e055f..c2aad1af17de0b8d3c4cb215e805a596a88ca5db 100644
GIT binary patch
delta 170
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delta 204
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VQ)1-ffSRQ_x$vJDAF}D13;?8vHYWf8

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 0f25a6edc..01dd11ec6 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
@@ -139,7 +139,6 @@ class LoRAHook():
                            lora_alpha=1.0,
                     )
     def hook_fn(self, module, input, output):
-        print(module, input, output)
         lora_out = self.lora(input)
         output = input + lora_out
 
@@ -1596,7 +1595,6 @@ def run_adapter(rank, world_size, args, wb=None):
         if isinstance(modules, fairseq.modules.multihead_attention.MultiheadAttention):
             for module in modules.modules():
                 if isinstance(module, torch.nn.Linear):
-                    print(module)
                     lora_modules.append(LoRAHook(module))
     
     adapter_names = []