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Make the warmup mask per frame.

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This commit is contained in:
Daniel Povey 2022-10-08 15:37:02 +08:00
parent 6dc449da84
commit af545e061b
1 changed files with 3 additions and 3 deletions
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6
egs/librispeech/ASR/pruned_transducer_stateless7/conformer.py
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@ -370,8 +370,9 @@ class ConformerEncoderLayer(nn.Module):
warmup_value = self.get_warmup_value(warmup_count)
if warmup_value < 1.0 and self.training:
delta = src - src_orig
keep_prob = 0.5 * (1. + warmup_value)
delta = delta * (torch.rand_like(delta) < keep_prob)
keep_prob = 0.5 + 0.5 * warmup_value
# the :1 means the mask is chosen per frame.
delta = delta * (torch.rand_like(delta[...,:1]) < keep_prob)
src = src_orig + delta
@ -482,7 +483,6 @@ class ConformerEncoder(nn.Module):
output = 0.5 * (next_output + output)
output = output * feature_mask
output_mean = output.abs().mean().item()
return output