From a2d4bd1cd9d864690b238b8c31855c5ab9dacdbc Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Mon, 9 Jan 2023 11:27:04 +0900
Subject: [PATCH] from local

---
 .../.conformer_randomcombine.py.swp           | Bin 102400 -> 102400 bytes
 .../conformer_randomcombine.py                |   3 +--
 2 files changed, 1 insertion(+), 2 deletions(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/.conformer_randomcombine.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/.conformer_randomcombine.py.swp
index f3bef4fdfeabbe635e4b6ffe90e3349a2e506c92..408338b4cab100dbfcead9962274140fca02d464 100644
GIT binary patch
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delta 455
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diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/conformer_randomcombine.py b/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/conformer_randomcombine.py
index 069c8c9a4..7fcd0d85c 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/conformer_randomcombine.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_gtrans/conformer_randomcombine.py
@@ -211,7 +211,6 @@ class Conformer(EncoderInterface):
             )  # (T, N, C)
 
         x = x.permute(1, 0, 2)  # (T, N, C) ->(N, T, C)
-        ''' 
         layer_output = [x.permute(1, 0, 2) for x in layer_output]
         
         x = self.layer_norm(1/12*(self.sigmoid(self.alpha[0])*layer_output[0] + \
@@ -236,7 +235,7 @@ class Conformer(EncoderInterface):
             x += self.sigmoid(alpha*layer_outputs[(enum+1)*self.group_layer_num-1])
 
         x = self.layer_norm(x/self.group_num)
-
+        '''
         return x, lengths
 
     @torch.jit.export