}
	*fn.NWBRCalls = append(*fn.NWBRCalls, ir.SymAndPos{Sym: to, Pos: pos})
}

func (c *nowritebarrierrecChecker) check() {
	// We walk the call graph as late as possible so we can
	// capture all calls created by lowering, but this means we
	// only get to see the obj.LSyms of calls. symToFunc lets us
	// get back to the ODCLFUNCs.
	symToFunc := make(map[*obj.LSym]*ir.Func)
	// funcs records the back-edges of the BFS call graph walk. It

def TF_IfrtCallOp : TF_Op<"IfrtCall", []> {
  let summary = "Invokes a program via IFRT on a device";

  let description = [{
    This op calls an IFRT program uniquely identified by the given program id.

    During lowering from a `tf_device.cluster_func` op to a `tf.IfrtCall` op,
    the region owned by the former will be outlined to a function with a
    `tfrt_ifrt_serving.program_id` attribute. After that, the runtime ensures

  mlir::OpPassManager& func_pm = pm_.nest<mlir::func::FuncOp>();

  // Prepare the imported graph.
  func_pm.addPass(mlir::CreateExecutorDialectToFunctionalConversionPass());

  // Run TFR lowering, inlining and raising to tf.
  func_pm.addPass(mlir::TFR::CreateDecomposeTFOpsPass(tfr_module_));
  func_pm.addPass(mlir::TFR::CreateRaiseToTFOpsPass(
      tfr_module_, /*materialize_derived_attrs=*/true));