code: def convert_Squeeze(
      func, opset_version, input_names, output_names, context
  ):
      if func.axis is None:
          axis = []
          for i, s in enumerate(func.inputs[0].shape):
              if s == 1:
                  axis.append(i)
      else:
          axis = func.axis
  
      return (
          onnx_helper.make_node(
              "Squeeze", input_names, output_names, axes=axis
          ),
      )
  
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 14 for calling a global function with example usage: convert_Squeeze(func, opset_version, input_names, output_names, context) and returns: onnx_helper