diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 7e55214099..20e7d45b5a 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -2676,14 +2676,13 @@ class Tensor(MathTrait):
     """
     src, mask = self._pre_scatter(dim, index, src)
     def _inv_mask(a:Tensor|ConstType, b:Tensor|ConstType) -> Tensor: return mask.any(-1).logical_not().where(a, b)
-    # TODO: should not overwrite dtype here?
-    if reduce == "sum": return mask.where(src, 0).sum(-1, dtype=self.dtype).add(self if include_self else _inv_mask(self, 0))
-    if reduce == "prod": return mask.where(src, 1).prod(-1, dtype=self.dtype).mul(self if include_self else _inv_mask(self, 1))
+    if reduce == "sum": return mask.where(src, 0).sum(-1).add(self if include_self else _inv_mask(self, 0))
+    if reduce == "prod": return mask.where(src, 1).prod(-1).mul(self if include_self else _inv_mask(self, 1))
     if reduce == "amax": return mask.where(src, m := dtypes.min(src.dtype)).max(-1).maximum(self if include_self else _inv_mask(self, m))
     if reduce == "amin": return mask.where(src, m := dtypes.max(src.dtype)).min(-1).minimum(self if include_self else _inv_mask(self, m))
     if reduce == "mean":
-      count = mask.where(1, 0).sum(-1, dtype=self.dtype).add(1 if include_self else _inv_mask(1, 0))
-      return mask.where(src, 0).sum(-1, dtype=self.dtype).add(self if include_self else _inv_mask(self, 0)).div(count)
+      count = mask.where(1, 0).sum(-1).add(1 if include_self else _inv_mask(1, 0))
+      return mask.where(src, 0).sum(-1).add(self if include_self else _inv_mask(self, 0)).div(count)
     raise RuntimeError(f"{reduce=} must be one of 'sum', 'prod', 'mean', 'amax', 'amin'")
 
   def sort(self, dim:int=-1, descending:bool=False) -> tuple[Tensor, Tensor]: