Fix RuntimeError: Integer division of tensors using div or / is no longer supported, and in a future release div will perform true division as in Python 3. Use true_divide or floor_divide (// in Python) instead.

timm/models/layers/padding.py

@@ -17,7 +17,7 @@ def get_padding(kernel_size: int, stride: int = 1, dilation: int = 1, **_) -> in
 
 # Calculate asymmetric TensorFlow-like 'SAME' padding for a convolution
 def get_same_padding(x: int, k: int, s: int, d: int):
-    return max((math.ceil(torch.true_divide(c / s)) - 1) * s + (k - 1) * d + 1 - x, 0)
+    return max((math.ceil(torch.true_divide(c, s)) - 1) * s + (k - 1) * d + 1 - x, 0)
 
 
 # Can SAME padding for given args be done statically?