From ff361a7495635ace341ac0928b08d1c3b0c1e6bc Mon Sep 17 00:00:00 2001
From: Daniel Povey <dpovey@gmail.com>
Date: Sun, 27 Nov 2022 14:00:59 +0800
Subject: [PATCH] Change default prob on limit_param_value from 0.2 to 0.6.

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

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless7/scaling.py b/egs/librispeech/ASR/pruned_transducer_stateless7/scaling.py
index 23f0b281b..eb31755e1 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless7/scaling.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless7/scaling.py
@@ -893,7 +893,7 @@ class LimitParamValue(torch.autograd.Function):
 
 def limit_param_value(x: Tensor,
                       min: float, max: float,
-                      prob: float = 0.2):
+                      prob: float = 0.6):
     # You apply this to (typically) an nn.Parameter during training to ensure that its
     # (elements mostly) stays within a supplied range.  This is done by modifying the
     # gradients in backprop.