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@ -508,7 +508,7 @@ class Data2VecAudioModel(BaseFairseqModel):
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length += features.size()[1]
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conv_feat_all = torch.cat([conv_feat_all, features[i]])
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randint = np.random.randint(10000)
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randint = np.random.randint(10000000)
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np.save(f'{spk_dir}/{randint}.npy', conv_feat_all.cpu().numpy())
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prompt = prompt.expand((features.size()[0], prompt.size()[0], prompt.size()[1]))
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