diff --git a/efficientnet_pytorch/utils.py b/efficientnet_pytorch/utils.py
index 826a627..29af0ed 100755
--- a/efficientnet_pytorch/utils.py
+++ b/efficientnet_pytorch/utils.py
@@ -242,7 +242,7 @@ def forward(self, x):
         pad_w = max((ow - 1) * self.stride[1] + (kw - 1) * self.dilation[1] + 1 - iw, 0)
         if pad_h > 0 or pad_w > 0:
             x = F.pad(x, [pad_w // 2, pad_w - pad_w // 2, pad_h // 2, pad_h - pad_h // 2])
-        return F.conv2d(x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups)
+        return F.conv2d(x, self.weight, self.bias, self.dilation, self.groups)
 
 
 class Conv2dStaticSamePadding(nn.Conv2d):