(builder, node, graph, err)
convert to CoreML Squeeze Layer:
    https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#5003
convert to CoreML Squeeze Layer:
    https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#5003
convert to CoreML Squeeze Layer : https : // github . com / apple / coremltools / blob / 655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492 / mlmodel / format / NeuralNetwork . proto#5003
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
    )
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 )