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@@ -443,8 +443,8 @@ class LCBNet(nn.Module):
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encoder_out = encoder_out[0]
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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)
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- ocr_lengths = ocr.new_full([1], dtype=torch.long, fill_value=ocr.size(1))
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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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ocr, ocr_lens, _ = self.text_encoder(ocr, ocr_lengths)
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fusion_out, _, _, _ = self.fusion_encoder(encoder_out,None, ocr, None)
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encoder_out = encoder_out + fusion_out
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语帆