Did L_var term in discriminative loss forget to divide the batch_size?

[kyuusaku]

jsis3d/losses/discriminative.py

Line 61 in d4c27e6

 loss += torch.sum(var[i,:,:n]) / torch.sum(masks[i,:,:n]) 

      for i in range(batch_size):
            n = size[i]
            loss += torch.sum(var[i,:,:n]) / torch.sum(masks[i,:,:n])
      loss /= batch_size

[Pham Quang Hieu]

Hi @kyuusaku,

Good catch, let me correct the code. I'm not sure it will have any impact on the performance though.