node

onnx_ir.node(op_type: str, inputs: Sequence[ir.Value | None], attributes: Mapping[str, _convenience.SupportedAttrTypes] | None = None, *, domain: str = '', overload: str = '', num_outputs: int | None = None, outputs: Sequence[ir.Value] | None = None, version: int | None = None, graph: ir.Graph | None = None, name: str | None = None, doc_string: str | None = None, metadata_props: dict[str, str] | None = None) → ir.Node

Create an ir.Node.

This is a convenience constructor for creating a Node that supports Python objects as attributes.

Example:

>>> import onnx_ir as ir
>>> input_a = ir.Input("A", shape=ir.Shape([1, 2]), type=ir.TensorType(ir.DataType.INT32))
>>> input_b = ir.Input("B", shape=ir.Shape([1, 2]), type=ir.TensorType(ir.DataType.INT32))
>>> node = ir.node(
...     "SomeOp",
...     inputs=[input_a, input_b],
...     attributes={"alpha": 1.0, "some_list": [1, 2, 3]},
...     domain="some.domain",
...     name="node_name"
... )
>>> node.op_type
'SomeOp'

Parameters:

• op_type – The name of the operator.

• inputs – The input values. When an input is None, it is an empty input.

• attributes – The attributes. RefAttr can be used only when the node is defined in a Function.

• overload – The overload name when the node is invoking a function.

• domain – The domain of the operator. For onnx operators, this is an empty string.

• num_outputs – The number of outputs of the node. If not specified, the number is 1.

• outputs – The output values. If None, the outputs are created during initialization.

• version – The version of the operator. If None, the version is unspecified and will follow that of the graph.

• graph – The graph that the node belongs to. If None, the node is not added to any graph. A Node must belong to zero or one graph.

• name – The name of the node. If None, the node is anonymous.

• doc_string – The documentation string.

• metadata_props – The metadata properties.

Returns:

A node with the given op_type and inputs.