Fix lintrunner error

Author: neuropilot-captain

backends/mediatek/partitioner.py

@@ -46,7 +46,7 @@ def is_node_supported(self, _, node: torch.fx.Node) -> bool:
         op_type = node.target.__name__
 
         # Skip until we can handle the dimension order representation
-        if op_type == 'aten._to_copy.default':
+        if op_type == "aten._to_copy.default":
             return False
 
         if op_type in self._op_types_to_skip or node.name in self._op_names_to_skip:

backends/mediatek/preprocess.py

@@ -48,7 +48,7 @@ def preprocess(
     ) -> PreprocessResult:
 
         # Make sure all inputs are contiguous_format or NCHW or default dim order
-        print('here')
+        print("here")
         assert_default_dim_order(edge_program.graph_module)
 
         name_to_node_mappings = {node.name: node for node in edge_program.graph.nodes}

backends/mediatek/runtime/NeuronBackend.cpp

@@ -114,7 +114,8 @@ Error NeuronExecuTorchDelegate::execute(
   for (int i = 0; i < inputCount; i++) {
     auto tensor_in = args[i]->toTensor();
     ET_CHECK_OR_RETURN_ERROR(
-        runtime::is_contiguous_dim_order(tensor_in.dim_order().data(), tensor_in.dim()),
+        runtime::is_contiguous_dim_order(
+            tensor_in.dim_order().data(), tensor_in.dim()),
         Internal,
         "Expecting default dim_order but got a non default dim_order tensor for external input %u",
         i);