diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index a17a5f42ac..a305cd3fc4 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -366,7 +366,7 @@ class Tensor(SimpleMathTrait):  # pylint: disable=abstract-method
       if axis < 0: axis += len(self.shape)
       if splits is None:
         if not isinstance(total:=self.shape[axis], int): raise RuntimeError(f"cannot shard symbolic shape {self.shape=}, {axis=}")
-        sz = round_up(total, len(devices)) // len(devices)
+        sz = ceildiv(total, len(devices))
         splits = tuple([max(0, min(sz, total - sz*i)) for i in range(len(devices))])
       assert sum(splits) == self.shape[axis], "specified splits do not sum up to axis shape"
       boundaries = tuple(itertools.accumulate(splits))
@@ -981,7 +981,7 @@ class Tensor(SimpleMathTrait):  # pylint: disable=abstract-method
     ```
     """
     axis_arg = tuple(self._resolve_dim(x) for x in argfix(axis, *args))
-    if len(axis_arg) != len(dedup(axis_arg)): raise RuntimeError(f"dim can appear at least once, getting {axis_arg}")
+    if len(axis_arg) != len(dedup(axis_arg)): raise RuntimeError(f"dim can appear at most once, getting {axis_arg}")
     return F.Flip.apply(self, axis=axis_arg)
 
   def shrink(self, arg:Tuple[Optional[Tuple[sint, sint]], ...]) -> Tensor: