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dohe0342 2023-04-26 12:27:10 +09:00
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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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@ -501,6 +501,9 @@ class Data2VecAudioModel(BaseFairseqModel):
length += features.size()[1] length += features.size()[1]
conv_feat_all = torch.cat([conv_feat_all, features[i]]) conv_feat_all = torch.cat([conv_feat_all, features[i]])
randint = np.random.randint(10000)
np.save(conv_feat_all.cpu().numpy(), '/home/work/workspace/icefall/egs/librispeech/ASR/conv_feat/
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)