code: def convert_Swapaxes(
      func, opset_version, input_names, output_names, context
  ):
      perm = list(range(len(func.inputs[0].shape)))
      perm[func.axis1], perm[func.axis2] = (
          perm[func.axis2],
          perm[func.axis1],
      )
  
      return (
          onnx_helper.make_node(
              "Transpose", input_names, output_names, perm=perm
          ),
      )
  
imports: import warnings
  import chainer
  import numpy
  import onnx
  from onnx.mapping import NP_TYPE_TO_TENSOR_TYPE
  from onnx_chainer.functions.opset_version import support
  from onnx_chainer import onnx_helper
label_desc: Use image node_id 15 for calling a global function with example usage: convert_Swapaxes(func, opset_version, input_names, output_names, context) and returns: onnx_helper