Remove named arguments where possible (#7105)

* Remove named arguments where possible

Speed improvements.

* Update yolo.py

* Update yolo.py

* Update yolo.py

models/yolo.py

@@ -71,13 +71,13 @@ class Detect(nn.Module):
 
     def _make_grid(self, nx=20, ny=20, i=0):
         d = self.anchors[i].device
+        shape = 1, self.na, ny, nx, 2  # grid shape
         if check_version(torch.__version__, '1.10.0'):  # torch>=1.10.0 meshgrid workaround for torch>=0.7 compatibility
-            yv, xv = torch.meshgrid([torch.arange(ny, device=d), torch.arange(nx, device=d)], indexing='ij')
+            yv, xv = torch.meshgrid(torch.arange(ny, device=d), torch.arange(nx, device=d), indexing='ij')
         else:
-            yv, xv = torch.meshgrid([torch.arange(ny, device=d), torch.arange(nx, device=d)])
-        grid = torch.stack((xv, yv), 2).expand((1, self.na, ny, nx, 2)).float()
-        anchor_grid = (self.anchors[i].clone() * self.stride[i]) \
-            .view((1, self.na, 1, 1, 2)).expand((1, self.na, ny, nx, 2)).float()
+            yv, xv = torch.meshgrid(torch.arange(ny, device=d), torch.arange(nx, device=d))
+        grid = torch.stack((xv, yv), 2).expand(shape).float()
+        anchor_grid = (self.anchors[i] * self.stride[i]).view((1, self.na, 1, 1, 2)).expand(shape).float()
         return grid, anchor_grid