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dohe0342 2023-02-14 18:42:02 +09:00
parent 3b48f52b71
commit b034ee2f7e
4 changed files with 1 additions and 2 deletions
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egs/tedlium2/ASR/conformer_ctc3/.train.py.swp
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egs/tedlium2/ASR/conformer_ctc3/.transformer.py.swp
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egs/tedlium2/ASR/conformer_ctc3/train.py
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@ -582,7 +582,7 @@ def compute_loss(
use_double_scores=params.use_double_scores, use_double_scores=params.use_double_scores,
) )
elif parmas.interctc and params.condition: elif params.interctc and params.condition:
dense_fsa_vec = k2.DenseFsaVec( dense_fsa_vec = k2.DenseFsaVec(
nnet_output[0], nnet_output[0],
supervision_segments, supervision_segments,

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egs/tedlium2/ASR/conformer_ctc3/transformer.py
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@ -189,7 +189,6 @@ class Transformer(nn.Module):
if type(encoder_memory) == tuple: if type(encoder_memory) == tuple:
(encoder_memory, layer_outputs) = encoder_memory (encoder_memory, layer_outputs) = encoder_memory
layer_outputs = [self.ctc_output(x) for x in layer_outputs] layer_outputs = [self.ctc_output(x) for x in layer_outputs]
return (x, layer_outputs), encoder_memory, memory_key_padding_mask return (x, layer_outputs), encoder_memory, memory_key_padding_mask
else: else:
x = self.ctc_output(encoder_memory) x = self.ctc_output(encoder_memory)