diff --git a/python/hidet/graph/ops/definitions/utils.py b/python/hidet/graph/ops/definitions/utils.py
index b08bd1fde..a9979b71a 100644
--- a/python/hidet/graph/ops/definitions/utils.py
+++ b/python/hidet/graph/ops/definitions/utils.py
@@ -103,7 +103,7 @@ def normalize_index(index: Optional[int], dim_size, default) -> int:
         return dim_size
 
 
-def resolve_out_dtype(input_dtypes: List[Union[DataType, str]]) -> str:
+def resolve_out_dtype(input_dtypes: Sequence[Union[DataType, str]]) -> str:
     from hidet.ir.utils.type_utils import numeric_promotion
 
     if len(input_dtypes) == 0:
@@ -114,17 +114,18 @@ def resolve_out_dtype(input_dtypes: List[Union[DataType, str]]) -> str:
     return out_dtype.name
 
 
-def can_broadcast(src_shape: List[int], dst_shape: List[int]) -> bool:
+def can_broadcast(src_shape: Sequence[int], dst_shape: Sequence[int]) -> bool:
     if len(dst_shape) < len(src_shape):
         return False
-    src_shape = [1 for _ in range(len(dst_shape) - len(src_shape))] + src_shape
+    src_shape = [1 for _ in range(len(dst_shape) - len(src_shape))] + list(src_shape)
     for a, b in zip(src_shape, dst_shape):
         if a not in [1, b]:
             return False
     return True
 
 
-def can_mutually_broadcast(x_shape: List[int], y_shape: List[int]) -> bool:
+def can_mutually_broadcast(x_shape: Sequence[int], y_shape: Sequence[int]) -> bool:
+    x_shape, y_shape = list(x_shape), list(y_shape)
     while len(x_shape) < len(y_shape):
         x_shape = [1] + x_shape
     while len(y_shape) < len(x_shape):
@@ -132,11 +133,12 @@ def can_mutually_broadcast(x_shape: List[int], y_shape: List[int]) -> bool:
     return all(p == q or p == 1 or q == 1 for p, q in zip(x_shape, y_shape))
 
 
-def broadcast_shape(x_shape: List[int], y_shape: List[int]) -> List[int]:
+def broadcast_shape(x_shape: Sequence[int], y_shape: Sequence[int]) -> List[int]:
     """
     Broadcast two shapes with the same rule as numpy.
     Please refer to https://numpy.org/doc/stable/user/basics.broadcasting.html for details.
     """
+    x_shape, y_shape = list(x_shape), list(y_shape)
     orig_shapes = x_shape, y_shape
     while len(x_shape) < len(y_shape):
         x_shape = [1] + x_shape
@@ -150,9 +152,9 @@ def broadcast_shape(x_shape: List[int], y_shape: List[int]) -> List[int]:
     return result_shape
 
 
-def broadcast_shapes(shapes: List[List[int]]) -> List[int]:
+def broadcast_shapes(shapes: Sequence[Sequence[int]]) -> List[int]:
     assert len(shapes) >= 1
-    expanded_shape = shapes[0]
+    expanded_shape = list(shapes[0])
     for shape in shapes:
         expanded_shape = broadcast_shape(expanded_shape, shape)
     return expanded_shape