(builder, node, graph, err)
convert to CoreML SoftMax ND Layer:
    https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#3547
convert to CoreML SoftMax ND Layer:
    https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#3547
convert to CoreML SoftMax ND Layer : https : // github . com / apple / coremltools / blob / 655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492 / mlmodel / format / NeuralNetwork . proto#3547
def _convert_softmax_nd(builder, node, graph, err):
    '''
    convert to CoreML SoftMax ND Layer:
    https://github.com/apple/coremltools/blob/655b3be5cc0d42c3c4fa49f0f0e4a93a26b3e492/mlmodel/format/NeuralNetwork.proto#3547
    '''
    axis = node.attrs.get('axis', 1)
    builder.add_softmax_nd(
        name=node.name,
        input_name=node.inputs[0],
        output_name=node.outputs[0] + ('_softmax' if node.op_type == 'LogSoftmax' else ''),
        axis=axis
    )
    if node.op_type == 'LogSoftmax':
        builder.add_unary(
            name=node.name+'_log',
            input_name=node.outputs[0]+'_softmax',
            output_name=node.outputs[0],
            mode='log'
        )
def _convert_softmax_nd ( builder , node , graph , err ) : axis = node . attrs . get ( 'axis' , 1 ) builder . add_softmax_nd ( name = node . name , input_name = node . inputs [ 0 ] , output_name = node . outputs [ 0 ] + ( '_softmax' if node . op_type == 'LogSoftmax' else '' ) , axis = axis ) if node . op_type == 'LogSoftmax' : builder . add_unary ( name = node . name + '_log' , input_name = node . outputs [ 0 ] + '_softmax' , output_name = node . outputs [ 0 ] , mode = 'log' )