code: def annot_expr(e):
      """Returns e wrapped with an on_device annotation."""
      return relay.op.annotation.on_device(
          e, tvm.cpu(), constrain_result=True
      )
  
imports: import numpy
  import tvm
  import tvm.testing
  from tvm import relay
  from tvm.relay.backend import Executor
  from tvm.relay import transform
  from tvm.relay.build_module import bind_params_by_name
  from tvm.relay.testing import run_infer_type, create_workload
label_desc: Use image node_id 1 for calling a global function with example usage: annot_expr(e) and returns: relay