updates
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@ -172,8 +172,8 @@ class YOLOLayer(nn.Module):
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# lconf = k * BCEWithLogitsLoss(pred_conf[mask], mask[mask].float())
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# lconf = k * BCEWithLogitsLoss(pred_conf[mask], mask[mask].float())
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lconf = k * BCEWithLogitsLoss(pred_conf, mask.float())
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lconf = k * BCEWithLogitsLoss(pred_conf, mask.float())
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lcls = k * CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1))
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# lcls = (k / 10) * CrossEntropyLoss(pred_cls[mask], torch.argmax(tcls, 1))
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# lcls = k * BCEWithLogitsLoss(pred_cls[mask], tcls.float())
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lcls = k * BCEWithLogitsLoss(pred_cls[mask], tcls.float())
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else:
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else:
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lx, ly, lw, lh, lcls, lconf = FT([0]), FT([0]), FT([0]), FT([0]), FT([0]), FT([0])
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lx, ly, lw, lh, lcls, lconf = FT([0]), FT([0]), FT([0]), FT([0]), FT([0]), FT([0])
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