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add stats for other 2 recipes

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This commit is contained in:
yaozengwei 2022-07-24 19:47:30 +08:00
parent 6455fa40b8
commit 9576b2cb2c
2 changed files with 16 additions and 0 deletions
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8
egs/librispeech/ASR/conv_emformer_transducer_stateless2/train.py
View File

@ -686,6 +686,14 @@ def compute_loss(
(feature_lens // params.subsampling_factor).sum().item()
)
info["utterances"] = feature.size(0)
# `utt_duration` and `utt_pad_proportion` would be normalized by `utterances` # noqa
info["utt_duration"] = feature_lens.sum().item()
# padding proportion of each utterance
info["utt_pad_proportion"] = (
((feature.size(1) - feature_lens) / feature.size(1)).sum().item()
)
# Note: We use reduction=sum while computing the loss.
info["loss"] = loss.detach().cpu().item()
info["simple_loss"] = simple_loss.detach().cpu().item()

8
egs/librispeech/ASR/pruned_stateless_emformer_rnnt2/train.py
View File

@ -603,6 +603,14 @@ def compute_loss(
(feature_lens // params.subsampling_factor).sum().item()
)
info["utterances"] = feature.size(0)
# `utt_duration` and `utt_pad_proportion` would be normalized by `utterances` # noqa
info["utt_duration"] = feature_lens.sum().item()
# padding proportion of each utterance
info["utt_pad_proportion"] = (
((feature.size(1) - feature_lens) / feature.size(1)).sum().item()
)
# Note: We use reduction=sum while computing the loss.
info["loss"] = loss.detach().cpu().item()
info["simple_loss"] = simple_loss.detach().cpu().item()