From 3c90779ba8f2eddd6409fbc517277c115cc9ab56 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 27 Apr 2023 16:38:37 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 36864 -> 36864 bytes
 .../.model.py.swp                             | Bin 24576 -> 24576 bytes
 .../model.py                                  |   4 +++-
 3 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp
index 64370de7a0c44a2d28530ff8c9a93fef6b5a807d..29c048ad10d25abcfbae8ab7cc2cb1d160f140aa 100644
GIT binary patch
delta 32
mcmZozz|^pSNi@kI%+puFQqO<^2m}}y4As0+PHYr?-46hU^$4s0

delta 32
mcmZozz|^pSNi@kI%+puFQqO<^2m}}y^wqplW^WXI-46hU0tkHo

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 33ce31e907854314f2e36d409bd3dacfd299985e..b64254ab12cb97911da56431741515acfc49dcaa 100644
GIT binary patch
delta 232
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zhy__TmnqI>nmpHEn^|35eey?Ny~!{A#d#Hwfb!;vD#g-iuXz|4!g(Pki2x}O_{`71
zZ~};z193JGI{~pU5bxw;VCVtjP#`t~Vl^OE1!55(W&`54Ky%Im@n#^N3dChV3^Mx}
l&*nyf8lK54zUq^YD0)xct9T3StU3O^o8|rL7#9Ty004s$E?NKp

delta 263
zcmZoTz}Rqraf5)sWD6ix5D;J#-E1gunV(mbnSr5|g@J)VfPo=&v!FsaBOi$C0mQOE
z{D*mSnc{4w$$R`&WEGG=aY<rHW^qYovVyHbenD!U#^l8+#ym(06gE#(DV9!~!o$G8
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zxCV$5fY=F$m4TRrcXOk_ES|~FeAFk``EHpkt0F(yM@4b-btNlCpu=4z3#w=X1uPZ?
G2mk>0a5uUD

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 5e0199d16..2696ec952 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/model.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/model.py
@@ -82,8 +82,9 @@ class Transducer(nn.Module):
         self.sid = sid
         if prompt:
             #self.prompt = torch.randn((200, 512), requires_grad=True)
-            statistic = open(f'/home/work/workspace/icefall/egs/librispeech/ASR/conv_feat/{self.sid}/{sid}_statistic.txt', 'r').readlines()
+            #statistic = open(f'/home/work/workspace/icefall/egs/librispeech/ASR/conv_feat/{self.sid}/{sid}_statistic.txt', 'r').readlines()
             self.prompt = torch.nn.Parameter(torch.rand((50, 512)))
+            '''
             print(self.prompt)
             
             new_emb = torch.empty(512, 50)
@@ -95,6 +96,7 @@ class Transducer(nn.Module):
             new_emb = new_emb.transpose(1,0)
             self.prompt = torch.nn.Parameter(new_emb) 
             print(self.prompt)
+            '''
 
     def forward(
         self,