From 8c7c3a0171ff2f82fa0821f9c9af5a42e737cff9 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Tue, 11 Apr 2023 16:25:31 +0900
Subject: [PATCH] from local

---
 .../.model.py.swp                             | Bin 28672 -> 28672 bytes
 .../.prompt_tuning.py.swp                     | Bin 94208 -> 94208 bytes
 .../model.py                                  |   5 +++--
 3 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.model.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.model.py.swp
index d43c3d510782698aec6b927cad8b1483bdb0e3ce..a74a78c0d8a35b4f5231d21c456ca11c4f852789 100644
GIT binary patch
delta 159
zcmZp8z}WDBQ7p+I%+puFQqO<^2m}}yvbarC7OmVU_KTk}db6OwXMWz-ObiUgED%|s
zkb*s<;d)jEhB-hS4#Z(V><Yx@Kr9Eu3_$z@sQefZF9+fdATHkAsQ8I#@+6fvldDv1
er4^tcGfknOC_lHL#EJnXG}$m*eDgU~BQF2~UnA!L

delta 135
zcmZp8z}WDBQ7p+I%+puFQqO<^2m}}y%(zWc-mKUt_KTk}YO|ogXMSEjW(I~yED%|s
zkb*s<;dWLAhB6>71>zJS4g+FaAeIMWW*~kFRDKMImjf|KYxm|x#ZOF=+x?X$m#Ms*
RoUCd&*(pPO^Ep)`F96e#9~J-r

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 2b3fb91a844d8c8a717aba83895212f5965cf7ca..85f1188a3968c8c5261b13fcd8816e105ff2eb93 100644
GIT binary patch
delta 35
pcmZp8z}oPDRW!*U%+puFQqO<^2m}}y61YuMavMdriZZ^=2LP>E2~hw5

delta 35
pcmZp8z}oPDRW!*U%+puFQqO<^2m}}y?72--92!NpiZZ^=2LP&N2?GEC

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/model.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/model.py
index 35799ba0a..a5e63c088 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/model.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/model.py
@@ -76,8 +76,9 @@ class Transducer(nn.Module):
             nn.Linear(encoder_dim, vocab_size),
             nn.LogSoftmax(dim=-1),
         )
-
-        self.prompt = torch.randn((50, 512), requires_grad=True)
+        
+        if prompt:
+            self.prompt = torch.randn((50, 512), requires_grad=True)
 
     def forward(
         self,