(builder, node, graph, err)
convert to CoreML Linear Activation Layer:
    https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L417
convert to CoreML Linear Activation Layer:
    https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L417
convert to CoreML Linear Activation Layer : https : // github . com / apple / coremltools / blob / 655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492 / mlmodel / format / NeuralNetwork . proto#L417
def _convert_identity(builder, node, graph, err):
    '''
    convert to CoreML Linear Activation Layer:
    https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#L417
    '''
    # TODO: Skip or CopyProp + DeadCode elimination
    builder.add_activation(
        name=node.name,
        non_linearity = 'LINEAR',
        input_name=node.inputs[0],
        output_name=node.outputs[0],
        params=[1.0, 0.0]
    )
def _convert_identity ( builder , node , graph , err ) : # TODO: Skip or CopyProp + DeadCode elimination builder . add_activation ( name = node . name , non_linearity = 'LINEAR' , input_name = node . inputs [ 0 ] , output_name = node . outputs [ 0 ] , params = [ 1.0 , 0.0 ] )