diff --git a/tinygrad/mixin/elementwise.py b/tinygrad/mixin/elementwise.py
index c1cb59cd82..8a4129c495 100644
--- a/tinygrad/mixin/elementwise.py
+++ b/tinygrad/mixin/elementwise.py
@@ -974,3 +974,16 @@ class ElementwiseMixin(DTypeMixin, CreationMixin):
     """
     if self.dtype != dtypes.bool and not dtypes.is_int(self.dtype): raise RuntimeError(f"{self.dtype} is not supported")
     return self.logical_not() if self.dtype == dtypes.bool else self ^ -1
+
+  def lerp(self, end: Self, weight: Self | ConstType) -> Self:
+    """
+    Linearly interpolates between `self` and `end` by `weight`.
+
+    ```python exec="true" source="above" session="tensor" result="python"
+    print(Tensor([1., 2., 3.]).lerp(Tensor([4., 5., 6.]), 0.5).numpy())
+    ```
+    """
+    if self.dtype == dtypes.uint8 and isinstance(weight, ElementwiseMixin):
+      w_i = (weight * (1<<(W_PREC:=7)) + 0.5).cast(dtypes.int16)
+      return (self+(((end - self).cast(dtypes.int8) * w_i + (1<<W_PREC-1)).cast(dtypes.uint16) >> W_PREC)).cast(dtypes.uint8)
+    return self + (end - self) * weight
diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 2f42f83da7..45c45d62ce 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -2385,21 +2385,6 @@ class Tensor(OpMixin):
     """
     return self._apply_uop(UOp.contiguous_backward)
 
-  # ***** math functions *****
-
-  def lerp(self, end:Tensor, weight:Tensor|float) -> Tensor:
-    """
-    Linearly interpolates between `self` and `end` by `weight`.
-
-    ```python exec="true" source="above" session="tensor" result="python"
-    print(Tensor([1., 2., 3.]).lerp(Tensor([4., 5., 6.]), 0.5).numpy())
-    ```
-    """
-    if self.dtype == dtypes.uint8 and isinstance(weight, Tensor):
-      w_i = (weight * (1<<(W_PREC:=7)) + 0.5).cast(dtypes.int16)
-      return (self+(((end - self).cast(dtypes.int8) * w_i + (1<<W_PREC-1)).cast(dtypes.uint16) >> W_PREC)).cast(dtypes.uint8)
-    return self + (end - self) * weight
-
   # ***** broadcasted elementwise ops *****
 
   def ufix(self, x) -> Tensor: