code: def convert_Where(
      func, opset_version, input_names, output_names, context
  ):
      input_names.insert(0, context.get_name(func.condition))
      return (
          onnx_helper.make_node("Where", input_names, output_names),
      )
  
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 19 for calling a global function with example usage: convert_Where(func, opset_version, input_names, output_names, context) and returns: onnx_helper