code: def convert_BroadcastTo(
      func, opset_version, input_names, output_names, context
  ):
      shape_name = context.add_const(
          np.array(func._shape, dtype=np.int64), "shape"
      )
      input_names.append(shape_name)
      return (
          onnx_helper.make_node("Expand", 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 39 for calling a global function with example usage: convert_BroadcastTo(func, opset_version, input_names, output_names, context) and returns: onnx_helper