Fix list assumption about permute arguments

Differential Revision: D67765363

Pull Request resolved: #7472

backends/cadence/aot/compiler_utils.py

@@ -129,16 +129,16 @@ def get_transposed_dims(node: torch.fx.Node, dims: List[int]) -> List[int]:
 
 
 # Capture the effect of permute op on incoming dimension order
-def get_permuted_dims(node: torch.fx.Node, dims: Optional[List[int]]) -> List[int]:
+def get_permuted_dims(node: torch.fx.Node, dims: Optional[Sequence[int]]) -> List[int]:
     """
     Given a permute node, and the incoming dimension ordering of the input
     tensor to the permute node, return the net effect of permute op on the
     dimension order.
     """
     assert node.target == exir_ops.edge.aten.permute_copy.default
     # Permute each index of the dimension ordering (dims)
-    permute_dims = node.args[1]
-    assert isinstance(permute_dims, List)
+    # pyre-fixme[6]: This combined typecheck isn't supported yet.
+    permute_dims: List[int] = list(node.args[1])
     assert all(isinstance(x, int) for x in permute_dims)
     # If the dims is empty, we can simply return the permute order
     if not dims:

backends/cadence/aot/reorder_ops.py

@@ -438,9 +438,9 @@ def postpone_dequantize_op(self, graph_module: torch.fx.GraphModule) -> bool:
                         args=(user, *node.args[1:]),
                     )
                     dequant_node.meta = user.meta.copy()
-                    # Remove meta["debug_handle"] on new node. Reassign it at the
-                    # caller level by calling generate_missing_debug_handles
-                    dequant_node.meta.pop("debug_handle")
+                    # Remove meta["debug_handle"] on new node if it exists.
+                    # Reassign it at the caller level by calling generate_missing_debug_handles
+                    dequant_node.meta.pop("debug_handle", None)
                     user.replace_all_uses_with(dequant_node)
                     dequant_node.args = (user, *node.args[1:])