From 3122637266a7e7e134b15af37a3faee6fe0fd7a3 Mon Sep 17 00:00:00 2001
From: Daniel Povey <dpovey@gmail.com>
Date: Sat, 17 Sep 2022 13:18:58 +0800
Subject: [PATCH] Use ScaledLinear where I previously had StructuredLinear

---
 egs/librispeech/ASR/pruned_transducer_stateless7/conformer.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless7/conformer.py b/egs/librispeech/ASR/pruned_transducer_stateless7/conformer.py
index cf2f05999..63adfa792 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless7/conformer.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless7/conformer.py
@@ -1020,7 +1020,7 @@ class Conv2dSubsampling(nn.Module):
             DoubleSwish(),
         )
         out_height = (((in_channels - 1) // 2 - 1) // 2)
-        self.out = nn.Linear(out_height * layer3_channels, out_channels)
+        self.out = ScaledLinear(out_height * layer3_channels, out_channels)
         # set learn_eps=False because out_norm is preceded by `out`, and `out`
         # itself has learned scale, so the extra degree of freedom is not
         # needed.