diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 12f05eb31b..35d2222e78 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -317,8 +317,8 @@ class Tensor:
     return y.div((y*y).mean(axis=axis, keepdim=True).add(eps).sqrt())
 
   def batchnorm(self, weight:Tensor, bias:Tensor, mean:Tensor, invstd:Tensor):
-    self = (self - mean.reshape(shape=[1, -1, 1, 1])) * weight.reshape(shape=[1, -1, 1, 1])
-    return self.mul(invstd.reshape(shape=[1, -1, 1, 1])) + bias.reshape(shape=[1, -1, 1, 1])
+    x = (self - mean.reshape(shape=[1, -1, 1, 1])) * weight.reshape(shape=[1, -1, 1, 1])
+    return x.mul(invstd.reshape(shape=[1, -1, 1, 1])) + bias.reshape(shape=[1, -1, 1, 1])
 
 # An instantiation of the Function is the Context
 class Function: