diff --git a/tinygrad/codegen/lowerer.py b/tinygrad/codegen/lowerer.py
index a9ded30e29..d0e5db725a 100644
--- a/tinygrad/codegen/lowerer.py
+++ b/tinygrad/codegen/lowerer.py
@@ -4,7 +4,7 @@ import functools, itertools, operator
 from dataclasses import dataclass
 from typing import List, Tuple, cast, Optional
 from tinygrad.shape.shapetracker import ShapeTracker
-from tinygrad.shape.view import variable_to_uop
+from tinygrad.shape.view import sint_to_uop
 from tinygrad.dtype import dtypes, PtrDType
 from tinygrad.ops import KernelInfo, UOp, Ops, graph_rewrite, PatternMatcher, UPat, sint, identity_element
 from tinygrad.renderer import Renderer
@@ -76,11 +76,10 @@ def get_index(ast:UOp, opts:Renderer) -> IndexContext:
              get_grouped_dims("lidx", full_shape[global_dims:first_reduce+group_for_reduces], opts.local_max)
   else:
     # all loops are RANGES
-    idxs = [UOp(Ops.RANGE, dtypes.int, (UOp.const(dtypes.int, 0), variable_to_uop(g)), (i, False))
-                  for i,g in enumerate(full_shape[:first_reduce])]
+    idxs = [UOp(Ops.RANGE, dtypes.int, (sint_to_uop(0), sint_to_uop(g)), (i, False)) for i,g in enumerate(full_shape[:first_reduce])]
 
   # reduce loops
-  idxs += [UOp(Ops.RANGE, dtypes.int, (UOp.const(dtypes.int, 0), variable_to_uop(g)), (i, True))
+  idxs += [UOp(Ops.RANGE, dtypes.int, (sint_to_uop(0), sint_to_uop(g)), (i, True))
     for i,g in enumerate(full_shape[first_reduce+group_for_reduces:first_upcasted], start=first_reduce+group_for_reduces)]
 
   # upcast loops
@@ -91,7 +90,7 @@ def get_index(ast:UOp, opts:Renderer) -> IndexContext:
   # late indexes (group for reduce)
   ridxs = idxs[:]
   for a in range(first_reduce, first_reduce+group_for_reduces):
-    ridxs[a] = UOp(Ops.RANGE, dtypes.int, (UOp.const(dtypes.int, 0), variable_to_uop(full_shape[a])), (1000+a, True))
+    ridxs[a] = UOp(Ops.RANGE, dtypes.int, (sint_to_uop(0), sint_to_uop(full_shape[a])), (1000+a, True))
 
   return IndexContext(idxs, ridxs)
 
diff --git a/tinygrad/shape/view.py b/tinygrad/shape/view.py
index d6c6489e53..1034147548 100644
--- a/tinygrad/shape/view.py
+++ b/tinygrad/shape/view.py
@@ -74,15 +74,14 @@ def _reshape_mask(_mask:Optional[Tuple[Tuple[sint, sint], ...]], old_shape:Tuple
   return tuple(reversed(new_mask))
 
 def un1d(shape:Tuple[sint, ...], offs:sint) -> List[sint]:
-  strides = strides_for_shape(shape)
   result = []
-  for stride in strides:
+  for stride in strides_for_shape(shape):
     here = offs // stride if stride != 0 else 0
     result.append(here)
     offs -= here * stride
   return result
 
-def variable_to_uop(x, ctx=None) -> UOp: return UOp.const(dtypes.int, x) if isinstance(x, int) else x
+def sint_to_uop(x:sint) -> UOp: return UOp.const(dtypes.int, x) if isinstance(x, int) else x
 
 @dataclass(frozen=True)
 class View:
@@ -100,7 +99,7 @@ class View:
 
   def to_indexed_uops(self:View, _idxs:Optional[List[UOp]]=None, vexpr:UOp=UOp.const(dtypes.bool, True)) -> Tuple[UOp, UOp]:
     idxs = [UOp.range(dtypes.int, 0, s, i) for i,s in enumerate(self.shape)] if _idxs is None else _idxs
-    iexpr = variable_to_uop(self.offset)
+    iexpr = sint_to_uop(self.offset)
     for idx,sh,st,m in zip(idxs, self.shape, self.strides, self.mask if self.mask is not None else [None]*len(self.shape)):
       if resolve(sh != 1) and resolve(st != 0): iexpr = iexpr + idx*st
       if m is not None: