diff --git a/tinygrad/nn.py b/tinygrad/nn.py
index ea9508dc96..3052b541c0 100644
--- a/tinygrad/nn.py
+++ b/tinygrad/nn.py
@@ -33,20 +33,15 @@ class BatchNorm2D:
 
 class Conv2d:
   def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, bias=True):
-    self.out_channels = out_channels
     self.kernel_size = (kernel_size, kernel_size) if isinstance(kernel_size, int) else (kernel_size[0], kernel_size[1])
     self.stride = (stride, stride) if isinstance(stride, int) else (stride[0], stride[1])
     self.padding = (padding, ) * 4 if isinstance(padding, int) else (padding[0], padding[0], padding[1], padding[1])
-    self.use_bias = bias
     self.weight = Tensor.uniform(out_channels, in_channels, self.kernel_size[0], self.kernel_size[1])
-    if self.use_bias:
-      self.bias = Tensor.uniform(out_channels)
+    self.bias = Tensor.uniform(out_channels) if bias else None
 
   def __call__(self, x):
-    if self.padding[0] > 0:
+    if self.padding[0] > 0 or self.padding[2] > 0:
       x = x.pad2d(padding=self.padding)
-    x = x.conv2d(self.weight, stride=self.stride)
-    if self.use_bias:
-      x = x.add(self.bias.reshape(shape=(1, -1, 1, 1)))
+    x = x.conv2d(self.weight, self.bias, stride=self.stride)
     return x