diff --git a/tinygrad/nn/__init__.py b/tinygrad/nn/__init__.py
index 4e81e9eb0a..8eb9c015f2 100644
--- a/tinygrad/nn/__init__.py
+++ b/tinygrad/nn/__init__.py
@@ -39,7 +39,7 @@ class BatchNorm2d:
         self.running_mean.assign((1-self.momentum) * self.running_mean + self.momentum * batch_mean.detach())
         self.running_var.assign((1-self.momentum) * self.running_var +
                                 self.momentum * prod(y.shape[1:])/(prod(y.shape[1:])-y.shape[2]) * batch_var.detach())
-      self.num_batches_tracked += 1
+        self.num_batches_tracked += 1
     else:
       batch_mean = self.running_mean
       # NOTE: this can be precomputed for static inference. we expand it here so it fuses