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@liguagua752109150 https://github.com/WongKinYiu/yolov7/issues/33#issuecomment-1178669212
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@ -775,12 +775,20 @@ class ComputeLossOTA:
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matching_anchs[i].append(all_anch[layer_idx])
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for i in range(nl):
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if matching_gis[i] != []:
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matching_bs[i] = torch.cat(matching_bs[i], dim=0)
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matching_as[i] = torch.cat(matching_as[i], dim=0)
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matching_gjs[i] = torch.cat(matching_gjs[i], dim=0)
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matching_gis[i] = torch.cat(matching_gis[i], dim=0)
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matching_targets[i] = torch.cat(matching_targets[i], dim=0)
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matching_anchs[i] = torch.cat(matching_anchs[i], dim=0)
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else:
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matching_bs[i] = torch.tensor([], device='cuda:0', dtype=torch.int64)
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matching_as[i] = torch.tensor([], device='cuda:0', dtype=torch.int64)
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matching_gjs[i] = torch.tensor([], device='cuda:0', dtype=torch.int64)
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matching_gis[i] = torch.tensor([], device='cuda:0', dtype=torch.int64)
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matching_targets[i] = torch.tensor([], device='cuda:0', dtype=torch.int64)
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matching_anchs[i] = torch.tensor([], device='cuda:0', dtype=torch.int64)
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return matching_bs, matching_as, matching_gjs, matching_gis, matching_targets, matching_anchs
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