Function _run_case

onnx/test/inference_function_test.py:48–62

(
    schema: OpSchema,
    input_names: list[str],
    output_names: list[str],
    input_types: dict[str, TypeProto],
    input_data: dict[str, np.ndarray] | None = None,
)

def _run_case(
    schema: OpSchema,
    input_names: list[str],
    output_names: list[str],
    input_types: dict[str, TypeProto],
    input_data: dict[str, np.ndarray] | None = None,
) -> dict[str, TypeProto]:
    if input_data is None:
        input_data = {}
    return infer_node_outputs(
        schema,
        make_node(schema.name, input_names, output_names, domain=schema.domain),
        input_types,
        {key: from_array(arr) for key, arr in input_data.items()},
    )


class TestInferenceFunctionCall(unittest.TestCase):