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atsr
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@ -444,7 +444,7 @@ class LCBNet(nn.Module):
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encoder_out, encoder_out_lens = self.encode(speech, speech_lengths)
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if isinstance(encoder_out, tuple):
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encoder_out = encoder_out[0]
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pdb.set_trace()
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ocr_list_new = [[x + 1 if x != 0 else x for x in sublist] for sublist in ocr_sample_list]
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ocr = torch.tensor(ocr_list_new).to(device=kwargs["device"])
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ocr_lengths = ocr.new_full([1], dtype=torch.long, fill_value=ocr.size(1)).to(device=kwargs["device"])
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