From db90fb1abdab2202462f41efd4c481ee029e0e19 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Fri, 28 Apr 2023 10:12:40 +0900
Subject: [PATCH] from local

---
 .../.data2vec_audio.py.swp                    | Bin 36864 -> 36864 bytes
 .../.model.py.swp                             | Bin 24576 -> 24576 bytes
 .../model.py                                  |   8 ++++----
 3 files changed, 4 insertions(+), 4 deletions(-)

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 050f0ee96d8b27b70bae57ecd5a6cf0363e79e17..c770643c135ddf2b72aa3969ee4bf8f05e1b1de5 100644
GIT binary patch
delta 34
ocmZozz|^pSNj%9Q%+puFQqO<^2m}}yzDawh)LO6KDE_h^0G`<j2mk;8

delta 34
ocmZozz|^pSNj%9Q%+puFQqO<^2m}}ycI$Yhg!HW2DE_h^0G+c61ONa4

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 f3ad9c8bfab2589d68d5a84919064153fb6b719f..6a02f9de1e50233abac9ffbfc6b3e89265ea4bd5 100644
GIT binary patch
delta 229
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k<W1hAc$-CCU7ca_ePy4?*Oh)wuJ&(X1`2Hc@6RXz0Lud}(EtDd

delta 261
zcmZoTz}Rqraf5&WW7K3p0eME@&4vP(`FW$67#Qv|GcYg+Ffc@I7F395<T}T~z~BVL
z|Cl#dDXw6ed`^jTa)FBS<S8m0lf6|WREiSwQt~u3j0_BP6if|`G<6h;QVUBni&Bf@
z(~A;QY(t7lQ#T8#ev(T2&%?lw&I>VI7)XJ@XMP5T6F|Hih_iv%35bP(cqbnNLk|##
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X$%#3soA)S+Fio!TZ`u6cpHTn+1NJ@L

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 8c219bb70..048af6161 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/model.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/model.py
@@ -84,11 +84,10 @@ 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()
+            #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)
-            
+            #print(self.prompt)
+            '''
             new_emb = torch.empty(512, 50)
             for i in range(512):
                 mean, std = statistic[i].strip().split(' ')
@@ -98,6 +97,7 @@ class Transducer(nn.Module):
             new_emb = new_emb.transpose(1,0)
             self.prompt = torch.nn.Parameter(new_emb) 
             print(self.prompt)
+            '''
 
     def forward(
         self,