parameters: (builder, node, graph, err)
docstring: convert to CoreML Squeeze Layer:
      https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#5003
docstring_summary: convert to CoreML Squeeze Layer:
      https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#5003
docstring_tokens: convert to CoreML Squeeze Layer : https : // github . com / apple / coremltools / blob / 655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492 / mlmodel / format / NeuralNetwork . proto#5003
function: def _convert_split(builder, node, graph, err):
      """
      convert to CoreML Squeeze Layer:
      https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#5003
      """
      axis = node.attrs.get("axis", 0)
      split = node.attrs.get("split", None)
      num_splits = len(node.outputs) if split is None else 2
  
      builder.add_split_nd(
          name=node.name,
          input_name=node.inputs[0],
          output_names=node.outputs,
          axis=axis,
          num_splits=num_splits,
          split_sizes=split,
      )
function_tokens: def _convert_split ( builder , node , graph , err ) : axis = node . attrs . get ( "axis" , 0 ) split = node . attrs . get ( "split" , None ) num_splits = len ( node . outputs ) if split is None else 2 builder . add_split_nd ( name = node . name , input_name = node . inputs [ 0 ] , output_names = node . outputs , axis = axis , num_splits = num_splits , split_sizes = split , )