a single torch.add() op.
torch._dynamo.graph_break()
Force a graph break
torch._dynamo.optimize(backend='inductor', *, nopython=False, guard_export_fn=None, guard_fail_fn=None, disable=False, dynamic=False)
The main entrypoint of TorchDynamo.  Do graph capture and call
   backend() to optimize extracted graphs.
Parameters:
      * backend -- One of the two things: - Either, a
        function/callable taking a torch.fx.GraphModule and
        example_inputs and returning a python callable that runs the
        graph faster. One can also provide additional context for the
        backend, like torch.jit.fuser("fuser2"), by setting the
        backend_ctx_ctor attribute. See
        AOTAutogradMemoryEfficientFusionWithContext for the usage. -
        Or, a string backend name in torch._dynamo.list_backends()
  * **nopython** -- If True, graph breaks will be errors and there
    will be a single whole-program graph.
