code: def set_layers(self, layers):
      for op in layers:
          if not isinstance(op, list):
              if op.node.op == "ConcatV2":
                  value = self._run_tensor(op.node.input[-1])[0]
                  if value == 1:
                      self._create_const_node(
                          op.node.input[-1],
                          [np.array(3, dtype=np.int32)],
                      )
              elif op.node.op == "Slice":
                  begin = self._run_tensor(op.node.input[1])[0]
                  size = self._run_tensor(op.node.input[2])[0]
                  if len(begin) == 4 and len(size) == 4:
                      begin[[1, 2, 3]] = begin[[2, 3, 1]]
                      size[[1, 2, 3]] = size[[2, 3, 1]]
                      self._create_const_node(op.node.input[1], [begin])
                      self._create_const_node(op.node.input[2], [size])
  
imports: import numpy
  import tensorflow.compat.v1
  from tensorflow.core.framework.tensor_pb2 import TensorProto
  from tensorflow.core.framework.tensor_shape_pb2 import TensorShapeProto
label_desc: Use image node_id 30 for calling the RefineGraph obj's underlying member method code with example usage: obj.set_layers(layers) without return types