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dohe0342 2023-04-12 14:45:58 +09:00
parent b7e95dc5e1
commit fd9690653e
2 changed files with 4 additions and 2 deletions
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egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp
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egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py
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@ -494,7 +494,9 @@ class Data2VecAudioModel(BaseFairseqModel):
prompt = prompt.expand((features.size()[0], prompt.size()[0], prompt.size()[1])) prompt = prompt.expand((features.size()[0], prompt.size()[0], prompt.size()[1]))
features = torch.cat([prompt, features], dim=1) features = torch.cat([prompt, features], dim=1)
prompt_padding_mask = torch.zeros(prompt.size()[0], prompt.size()[1]).type(torch.BoolTensor).to(features.device) prompt_padding_mask = torch.zeros(prompt.size()[0], prompt.size()[1]).type(torch.BoolTensor).to(features.device)
padding_mask = torch.cat([prompt_padding_mask, padding_mask], dim=1) try: padding_mask = torch.cat([prompt_padding_mask, padding_mask], dim=1)
except:
print(prompt_padding_mask.size())
print(padding_mask.size()) print(padding_mask.size())
features = self.layer_norm(features) features = self.layer_norm(features)