+ # m = (torch.rand(y.size()).sort(dim=-1).indices < y.size(1) // 2).long()
+
+ i = (
+ torch.arange(self.height)
+ .reshape(1, -1, 1)
+ .expand(nb, self.height, self.width)
+ )
+ j = (
+ torch.arange(self.width)
+ .reshape(1, 1, -1)
+ .expand(nb, self.height, self.width)
+ )
+
+ ri = torch.randint(self.height, (nb,)).reshape(nb, 1, 1)
+ rj = torch.randint(self.width, (nb,)).reshape(nb, 1, 1)
+
+ m = 1 - torch.logical_or(i == ri, j == rj).long().flatten(1)