$ python
>>> from snc4onnx import combine
>>> help(combine)

Help on function combine in module snc4onnx.onnx_network_combine:

combine(
  srcop_destop: List[str],
  op_prefixes_after_merging: Union[List[str], NoneType] = [],
  input_onnx_file_paths: Union[List[str], NoneType] = [],
  onnx_graphs: Union[List[onnx.onnx_ml_pb2.ModelProto], NoneType] = [],
  output_onnx_file_path: Union[str, NoneType] = '',
  output_of_onnx_file_in_the_process_of_fusion: Union[bool, NoneType] = False,
  non_verbose: Union[bool, NoneType] = False
) -> onnx.onnx_ml_pb2.ModelProto

    Parameters
    ----------
    srcop_destop: List[str]
        The names of the output OP to join from and the input OP to join to are
        [["out1","in1"], ["out2","in2"], ["out3","in3"]] format.

        In other words, to combine model1 and model2,
        srcop_destop =
            [
                ["model1_out1_opname","model2_in1_opname"],
                ["model1_out2_opname","model2_in2_opname"]
            ]

        The first srcop_destop specifies the correspondence between model1 and model2,
        and the second srcop_destop specifies the correspondence
        between model1 and model2 combined and model3.
        It is necessary to take into account that the prefix specified
        in op_prefixes_after_merging is given at the beginning of each OP name.

        e.g. To combine model1 with model2 and model3.
        srcop_destop =
            [
                [
                    ["model1_src_op1","model2_dest_op1"],
                    ["model1_src_op2","model2_dest_op2"]
                ],
                [
                    ["combined_model1.2_src_op1","model3_dest_op1"],
                    ["combined_model1.2_src_op2","model3_dest_op2"]
                ],
                ...
            ]

    op_prefixes_after_merging: List[str]
        Since a single ONNX file cannot contain multiple OPs with the same name,
        a prefix is added to all OPs in each input ONNX model to avoid duplication.
        Specify the same number of paths as input_onnx_file_paths.
        e.g. op_prefixes_after_merging = ["model1_prefix","model2_prefix","model3_prefix", ...]

    input_onnx_file_paths: Optional[List[str]]
        Input onnx file paths. At least two onnx files must be specified.
        Either input_onnx_file_paths or onnx_graphs must be specified.
        onnx_graphs If specified, ignore input_onnx_file_paths and process onnx_graphs.
        e.g. input_onnx_file_paths = ["model1.onnx", "model2.onnx", "model3.onnx", ...]

    onnx_graphs: Optional[List[onnx.ModelProto]]
        List of onnx.ModelProto. At least two onnx graphs must be specified.
        Either input_onnx_file_paths or onnx_graphs must be specified.
        onnx_graphs If specified, ignore input_onnx_file_paths and process onnx_graphs.
        e.g. onnx_graphs = [graph1, graph2, graph3, ...]

    output_onnx_file_path: Optional[str]
        Output onnx file path.
        If not specified, .onnx is not output.
        Default: ''

    output_of_onnx_file_in_the_process_of_fusion: Optional[bool]
        Output of onnx files in the process of fusion.
        Default: False

    non_verbose: Optional[bool]
        Do not show all information logs. Only error logs are displayed.
        Default: False

    Returns
    -------
    combined_graph: onnx.ModelProto
        Combined onnx ModelProto

from snc4onnx import combine

combined_graph = combine(
    srcop_destop = [
        ['output', 'flow_init']
    ],
    op_prefixes_after_merging = [
        'init',
        'next',
    ],
    input_onnx_file_paths = [
        'crestereo_init_iter2_120x160.onnx',
        'crestereo_next_iter2_240x320.onnx',
    ],
    non_verbose = True,
)

from snc4onnx import combine

combined_graph = combine(
    srcop_destop = [
        ['output', 'flow_init']
    ],
    op_prefixes_after_merging = [
        'init',
        'next',
    ],
    onnx_graphs = [
        graph1,
        graph2,
        graph3,
    ],
    non_verbose = True,
)