Try another recompute_scale_factor approach. Leaving it None results in insanely annoying warnings. Hopefully doesn't impact #169.

Author: rwightman

effdet/efficientdet.py

@@ -129,7 +129,8 @@ def __init__(self,
         self.align_corners = None if mode == 'nearest' else align_corners
 
     def forward(self, input: torch.Tensor) -> torch.Tensor:
-        return F.interpolate(input, self.size, self.scale_factor, self.mode, self.align_corners)
+        return F.interpolate(
+            input, self.size, self.scale_factor, self.mode, self.align_corners, recompute_scale_factor=False)
 
 
 class ResampleFeatureMap(nn.Sequential):