code: def convert_PowVarConst(
      func, opset_version, input_names, output_names, context
  ):
      value_name = context.add_const(
          np.array(func.value, dtype=func.inputs[0].dtype), "value"
      )
      input_names.append(value_name)
  
      if opset_version == 1 or opset_version == 7:
          return (
              onnx_helper.make_node("Pow", input_names, output_names),
          )
  
imports: import numpy
  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_PowVarConst(func, opset_version, input_names, output_names, context) and returns: onnx_helper