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yaozengwei 2022-07-07 19:58:39 +08:00
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egs/librispeech/ASR/pruned_transducer_stateless5/conformer.py
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@ -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