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@ -493,7 +493,7 @@ class Data2VecAudioModel(BaseFairseqModel):
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print(features.size())
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print(padding_mask.size())
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print(padding_mask[0])
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conv_feat_all = torch.tensor([])
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conv_feat_all = torch.tensor([]).to(features.device())
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for i in range(padding_mask.size()[0]):
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nonzero = padding_mask[i].nonzero()
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try:
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