code: def convert_Prod(
      func, opset_version, input_names, output_names, context
  ):
      kwargs = {"keepdims": func.keepdims}
      if func.axis is not None:
          kwargs["axes"] = func.axis
      return (
          onnx_helper.make_node(
              "ReduceProd", input_names, output_names, **kwargs
          ),
      )
  
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 34 for calling a global function with example usage: convert_Prod(func, opset_version, input_names, output_names, context) and returns: onnx_helper