Function make_graph

onnx/helper.py:201–241

Construct a GraphProto Args: nodes: list of NodeProto name (string): graph name inputs: list of ValueInfoProto outputs: list of ValueInfoProto initializer: list of TensorProto doc_string (string): graph documentation value_info: list of Va

(
    nodes: Sequence[NodeProto],
    name: str,
    inputs: Sequence[ValueInfoProto],
    outputs: Sequence[ValueInfoProto],
    initializer: Sequence[TensorProto] | None = None,
    doc_string: str | None = None,
    value_info: Sequence[ValueInfoProto] | None = None,
    sparse_initializer: Sequence[onnx.SparseTensorProto] | None = None,
)

def make_graph(
    nodes: Sequence[NodeProto],
    name: str,
    inputs: Sequence[ValueInfoProto],
    outputs: Sequence[ValueInfoProto],
    initializer: Sequence[TensorProto] | None = None,
    doc_string: str | None = None,
    value_info: Sequence[ValueInfoProto] | None = None,
    sparse_initializer: Sequence[onnx.SparseTensorProto] | None = None,
) -> GraphProto:
    """Construct a GraphProto

    Args:
        nodes: list of NodeProto
        name (string): graph name
        inputs: list of ValueInfoProto
        outputs: list of ValueInfoProto
        initializer: list of TensorProto
        doc_string (string): graph documentation
        value_info: list of ValueInfoProto
        sparse_initializer: list of onnx.SparseTensorProto
    Returns:
        GraphProto
    """
    if initializer is None:
        initializer = []
    if sparse_initializer is None:
        sparse_initializer = []
    if value_info is None:
        value_info = []
    graph = GraphProto()
    graph.node.extend(nodes)
    graph.name = name
    graph.input.extend(inputs)
    graph.output.extend(outputs)
    graph.initializer.extend(initializer)
    graph.sparse_initializer.extend(sparse_initializer)
    graph.value_info.extend(value_info)
    if doc_string:
        graph.doc_string = doc_string
    return graph


def make_opsetid(domain: str, version: int) -> OperatorSetIdProto: