code: def convert_ArgMax(
      func, opset_version, input_names, output_names, context
  ):
      return _argminmax_nodes(
          "ArgMax", func, input_names, output_names, context
      )
  
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 41 for calling a global function with example usage: convert_ArgMax(func, opset_version, input_names, output_names, context) and returns: _argminmax_nodes