From 07f1dbcbccc002acf84a0e4ab644207128a87ec5 Mon Sep 17 00:00:00 2001 From: yaozengwei Date: Thu, 7 Jul 2022 19:58:39 +0800 Subject: [PATCH] delete doc --- egs/librispeech/ASR/pruned_transducer_stateless5/conformer.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/egs/librispeech/ASR/pruned_transducer_stateless5/conformer.py b/egs/librispeech/ASR/pruned_transducer_stateless5/conformer.py index a30e97cf9..00020e49d 100644 --- a/egs/librispeech/ASR/pruned_transducer_stateless5/conformer.py +++ b/egs/librispeech/ASR/pruned_transducer_stateless5/conformer.py @@ -1064,10 +1064,6 @@ class RandomCombine(nn.Module): is a random combination of all the inputs; but which in test time will be just the last input. - All but the last input will have a linear transform before we - randomly combine them; these linear transforms will be initialized - to the identity transform. - The idea is that the list of Tensors will be a list of outputs of multiple conformer layers. This has a similar effect as iterated loss. (See: DEJA-VU: DOUBLE FEATURE PRESENTATION AND ITERATED LOSS IN DEEP TRANSFORMER