diff --git a/tinygrad/codegen/uops.py b/tinygrad/codegen/uops.py
index 757c2d066d..b34ac132ee 100644
--- a/tinygrad/codegen/uops.py
+++ b/tinygrad/codegen/uops.py
@@ -1,5 +1,5 @@
 from __future__ import annotations
-import functools, math, operator, itertools
+import functools, math, operator, itertools, ctypes
 from typing import List, Set, Optional, Tuple, Any, Dict, DefaultDict, Callable, cast
 from collections import defaultdict
 from tinygrad.helpers import DEBUG, flatten, prod
@@ -45,11 +45,12 @@ python_alu = {
   TernaryOps.WHERE: lambda x,y,z: y if x else z}
 
 truncate: Dict[DType, Callable] = {
-  dtypes.bool: lambda x: bool(x),
-  **{dt:lambda x: x for dt in dtypes.fields().values() if dtypes.is_float(dt)},
-  **{dt:functools.partial(lambda vv,x: x&vv, (1 << (dt.itemsize*8))-1) for dt in dtypes.fields().values() if dtypes.is_unsigned(dt)},
-  **{dt:functools.partial(lambda vv,aa,x: ((x+aa)&vv)-aa, (1 << (dt.itemsize*8))-1, 1 << (dt.itemsize*8-1)) \
-     for dt in dtypes.fields().values() if dtypes.is_int(dt) and not dtypes.is_unsigned(dt)}}
+  dtypes.bool: bool, **{dt:lambda x: x for dt in dtypes.fields().values() if dtypes.is_float(dt)},
+  dtypes.uint8: lambda x: ctypes.c_uint8(x).value, dtypes.uint16: lambda x: ctypes.c_uint16(x).value,
+  dtypes.uint32: lambda x: ctypes.c_uint32(x).value, dtypes.uint64: lambda x: ctypes.c_uint64(x).value,
+  dtypes.int8: lambda x: ctypes.c_int8(x).value, dtypes.int16: lambda x: ctypes.c_int16(x).value,
+  dtypes.int32: lambda x: ctypes.c_int32(x).value, dtypes.int64: lambda x: ctypes.c_int64(x).value,}
+
 def exec_alu(arg, dtype, p): return truncate[dtype](python_alu[arg](*p))
 
 def uop_alu_resolve(u:UOp) -> sint: