def METHOD_NAME(pipeline=None, verbose=False):
    """Make a PyTorch dynamo backend using AirCpuBackend.
    Args:
        pipeline: The custom lowering pipeline to use for lowering. First
            `air.compiler.util.LINALG_TENSOR_TO_MEMREF_PIPELINE` is applied,
            then `pipeline`.
            The default is `air.backend.linalg_on_tensors.LINALG_MEMREF_TO_AIR_PIPELINE`
        verbose: enable verbose output
        segment_offset: default location for generated segments as [colOffset, rowOffset]
        segment_size: default size for generated segments as [numCols, numRows]
    Returns:
        A PyTorch dynamo backend
    """
    backend = AirCpuBackend()
    @make_simple_dynamo_backend
    def air_backend(fx_graph: torch.fx.GraphModule,
                    example_inputs: List[torch.Tensor]):
        # get the linalg mlir of the model from torch_mlir
        mlir_module = torch_mlir.compile(
            fx_graph, example_inputs,
            output_type=torch_mlir.OutputType.LINALG_ON_TENSORS)
        with air.mlir.ir.Context():
            air_module = air.mlir.ir.Module.parse(str(mlir_module))
            pm = air.mlir.passmanager.PassManager.parse(air.compiler.util.LINALG_TENSOR_TO_MEMREF_PIPELINE)
            pm.run(air_module)
            if pipeline is None:
                pm = air.mlir.passmanager.PassManager.parse(linalg_on_tensors.LINALG_MEMREF_TO_AIR_PIPELINE)
                pm.run(air_module)
            else:
                pm = air.mlir.passmanager.PassManager.parse(pipeline)
                pm.run(air_module)
            if verbose:
                print("AIR Module:")
                print(air_module)
        compiled = backend.compile(air_module, verbose=verbose)
        # return a function for invoking the compiled model
        def compiled_callable(*inputs):
            inputs = [x.numpy() for x in inputs]
            loaded = backend.load(compiled)
            result = loaded.forward(*inputs)
            return torch.from_numpy(result)
        return compiled_callable
    return air_backen