diff --git a/yolort/models/anchor_utils.py b/yolort/models/anchor_utils.py
index b444df59..6aff8aaa 100644
--- a/yolort/models/anchor_utils.py
+++ b/yolort/models/anchor_utils.py
@@ -5,6 +5,8 @@
 import torch
 from torch import nn, Tensor
 
+from yolort.utils import check_version
+
 
 class AnchorGenerator(nn.Module):
     def __init__(self, strides: List[int], anchor_grids: List[List[float]]):
@@ -29,7 +31,10 @@ def _generate_grids(
             widths = torch.arange(width, dtype=torch.int32, device=device).to(dtype=dtype)
             heights = torch.arange(height, dtype=torch.int32, device=device).to(dtype=dtype)
 
-            shift_y, shift_x = torch.meshgrid(heights, widths)
+            if check_version(torch.__version__, "1.10.0"):
+                shift_y, shift_x = torch.meshgrid(heights, widths, indexing="ij")
+            else:
+                shift_y, shift_x = torch.meshgrid(heights, widths)
 
             grid = torch.stack((shift_x, shift_y), 2).expand((1, self.num_anchors, height, width, 2))
             grids.append(grid)
diff --git a/yolort/v5/helper.py b/yolort/v5/helper.py
index 2677e6d7..a2a92be6 100644
--- a/yolort/v5/helper.py
+++ b/yolort/v5/helper.py
@@ -71,11 +71,13 @@ def load_yolov5_model(checkpoint_path: str, fuse: bool = False):
             model = ckpt["ema" if ckpt.get("ema") else "model"].float().eval()
 
         # Compatibility updates
-        for m in model.modules():
-            if type(m) in [nn.Hardswish, nn.LeakyReLU, nn.ReLU, nn.ReLU6, nn.SiLU, Detect, Model]:
-                if isinstance(m, Detect):
-                    if not isinstance(m.anchor_grid, list):  # new Detect Layer compatibility
-                        delattr(m, "anchor_grid")
-                        setattr(m, "anchor_grid", [torch.zeros(1)] * m.nl)
+        for sub_module in model.modules():
+            if type(sub_module) in [nn.Hardswish, nn.LeakyReLU, nn.ReLU, nn.ReLU6, nn.SiLU, Detect, Model]:
+                if isinstance(sub_module, Detect):
+                    if not isinstance(sub_module.anchor_grid, list):  # new Detect Layer compatibility
+                        delattr(sub_module, "anchor_grid")
+                        setattr(sub_module, "anchor_grid", [torch.zeros(1)] * sub_module.nl)
+            elif isinstance(sub_module, nn.Upsample) and not hasattr(sub_module, "recompute_scale_factor"):
+                sub_module.recompute_scale_factor = None  # torch 1.11.0 compatibility
 
         return model