diff --git a/tinygrad/uop/ops.py b/tinygrad/uop/ops.py
index f1b7287335..e6baadba4f 100644
--- a/tinygrad/uop/ops.py
+++ b/tinygrad/uop/ops.py
@@ -83,7 +83,7 @@ def multirange_str(rngs:Iterable[UOp], color=False, pad=None) -> str:
   return ret
 
 def shape_to_shape_arg(arg:tuple[sint, ...]) -> UOp:
-  if len(arg) == 0: return UOp(Ops.STACK, dtypes.weakint.vec(0))
+  if len(arg) == 0: return UOp(Ops.STACK)
   elif all_int(arg): return UOp.const(dtypes.weakint.vec(len(arg)), arg)
   else: return UOp(Ops.STACK, dtypes.weakint.vec(len(arg)), tuple(UOp.const(dtypes.weakint, x) if isinstance(x, int) else x for x in arg))
 
diff --git a/tinygrad/uop/spec.py b/tinygrad/uop/spec.py
index 1cbd396c11..ea73831481 100644
--- a/tinygrad/uop/spec.py
+++ b/tinygrad/uop/spec.py
@@ -150,8 +150,8 @@ spec_tensor = PatternMatcher([
   (UPat({Ops.ADD, Ops.MUL, Ops.CDIV, Ops.FLOORDIV}, dtype=dtypes.weakint), lambda: True),
 
   # movement ops
-  (UPat((Ops.RESHAPE, Ops.EXPAND), src=(UPat(), UPat(dtype=dtypes.weakint))), lambda: True),
-  (UPat((Ops.PAD, Ops.SHRINK), src=(UPat(), UPat(dtype=dtypes.weakint), UPat(dtype=dtypes.weakint)), name="x"),
+  (UPat((Ops.RESHAPE, Ops.EXPAND), src=(UPat(), UPat())), lambda: True),
+  (UPat((Ops.PAD, Ops.SHRINK), src=(UPat(), UPat(), UPat()), name="x"),
    lambda x: x.src[1].dtype.count == x.src[2].dtype.count),
   (UPat((Ops.PERMUTE, Ops.FLIP), name="mv", src=(UPat(),)), lambda mv: isinstance(mv.arg, tuple)),