From 9609b959dcd5bf0d2ce1a5280ad687d944f4dbe4 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 27 Apr 2023 20:33:57 +0900
Subject: [PATCH] from local

---
 .../.full_ft.py.swp                           | Bin 77824 -> 77824 bytes
 .../.model.py.swp                             | Bin 24576 -> 24576 bytes
 .../model.py                                  |   6 ++----
 3 files changed, 2 insertions(+), 4 deletions(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.full_ft.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.full_ft.py.swp
index 61b5cdbbe20290730b9798a143766994591fd9a0..ccbc4c158b7caeebc23318d3b8ef3f3e1ca3e29d 100644
GIT binary patch
delta 36
qcmZp8z|!!5MJ&l6%+puFQqO<^2m}}yI9<I`=3i_S+bYKRN*@5b5(*3e

delta 36
qcmZp8z|!!5MJ&l6%+puFQqO<^2m}}y{yKZ5T)faIwpEPrl|BH;7z-}|

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 c8f926bcd60d56db1a923f5742e7864fe56527e8..de3b710379d7624fbf0b5a6edd1bafa91c60aaaa 100644
GIT binary patch
delta 159
zcmZoTz}Rqraf5&WW7K3p0eME@&4vP(`FW$67#Qv|GcYg+Ffc@I7F3956g<bmz~BVL
z|A4|Esq>o~6(g9~6ch@IGV>;%Ro0%&q2e;xSEUC?i)?<UA|}oIpND}Vofl$?@MJ*;
teMM6~1_l)%76anHK$-hMd>DwA0&yD<r*BSlVB_7qM^S`nbG3h~007XZB?SNg

delta 172
zcmZoTz}Rqraf5&WWAtP}0eMD|&4vP(`FUNL7#PknGcYg+Ffc@K7F3956g<nqz~BJH
ze}KYofcWg@M#TuG$*+~=nbp<RC;wFrWK^E)r_uu?6a7Rszf%#D=6%h>z!1(0F-Byv
zpo6}m8Xp6LDiDhRF&hxS1<IZW;>|!j6^P3=Cpxh4PClb}ngwVo!{qzQK9jF2{oGvb
H-zoqAqZ}#U

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 c3001fb47..8c219bb70 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/model.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/model.py
@@ -84,10 +84,9 @@ class Transducer(nn.Module):
         print(self.sid)
         print('-'*20)
         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()
+            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()
             self.prompt = torch.nn.Parameter(torch.rand((50, 512)))
-            '''
             print(self.prompt)
             
             new_emb = torch.empty(512, 50)
@@ -99,7 +98,6 @@ class Transducer(nn.Module):
             new_emb = new_emb.transpose(1,0)
             self.prompt = torch.nn.Parameter(new_emb) 
             print(self.prompt)
-            '''
 
     def forward(
         self,