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@liguagua752109150 https://github.com/WongKinYiu/yolov7/issues/33#issuecomment-1178669212
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Kin-Yiu, Wong 2022-07-10 10:00:19 +08:00 committed by GitHub
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1 changed files with 14 additions and 6 deletions
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20
utils/loss.py
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@ -775,12 +775,20 @@ class ComputeLossOTA:
matching_anchs[i].append(all_anch[layer_idx]) matching_anchs[i].append(all_anch[layer_idx])
for i in range(nl): for i in range(nl):
matching_bs[i] = torch.cat(matching_bs[i], dim=0) if matching_gis[i] != []:
matching_as[i] = torch.cat(matching_as[i], dim=0) matching_bs[i] = torch.cat(matching_bs[i], dim=0)
matching_gjs[i] = torch.cat(matching_gjs[i], dim=0) matching_as[i] = torch.cat(matching_as[i], dim=0)
matching_gis[i] = torch.cat(matching_gis[i], dim=0) matching_gjs[i] = torch.cat(matching_gjs[i], dim=0)
matching_targets[i] = torch.cat(matching_targets[i], dim=0) matching_gis[i] = torch.cat(matching_gis[i], dim=0)
matching_anchs[i] = torch.cat(matching_anchs[i], dim=0) matching_targets[i] = torch.cat(matching_targets[i], dim=0)
matching_anchs[i] = torch.cat(matching_anchs[i], dim=0)
else:
matching_bs[i] = torch.tensor([], device='cuda:0', dtype=torch.int64)
matching_as[i] = torch.tensor([], device='cuda:0', dtype=torch.int64)
matching_gjs[i] = torch.tensor([], device='cuda:0', dtype=torch.int64)
matching_gis[i] = torch.tensor([], device='cuda:0', dtype=torch.int64)
matching_targets[i] = torch.tensor([], device='cuda:0', dtype=torch.int64)
matching_anchs[i] = torch.tensor([], device='cuda:0', dtype=torch.int64)
return matching_bs, matching_as, matching_gjs, matching_gis, matching_targets, matching_anchs return matching_bs, matching_as, matching_gjs, matching_gis, matching_targets, matching_anchs