updates
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@ -243,7 +243,7 @@ def wh_iou(box1, box2):
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def compute_loss(p, targets): # predictions, targets
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FT = torch.cuda.Tensor if p[0].is_cuda else torch.Tensor
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FT = torch.cuda.FloatTensor if p[0].is_cuda else torch.Tensor
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lxy, lwh, lcls, lconf = FT([0]), FT([0]), FT([0]), FT([0])
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txy, twh, tcls, indices = targets
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MSE = nn.MSELoss()
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