//        else_branch = "false_fn")
  FunctionDefLibrary fdl;
  {
    tensorflow::Scope s = tensorflow::Scope::NewRootScope();
    Output arg = ops::_Arg(s.WithOpName("arg"), DT_INT32, 0);
    Output identity = ops::Identity(s.WithOpName("identity_true_fn"), arg);
    ops::_Retval retval(s.WithOpName("retval"), identity, 0);
    std::unique_ptr<Graph> g(new Graph(OpRegistry::Global()));
    TF_CHECK_OK(s.ToGraph(g.get()));

		if inferred != tpar {
			if reverse {
				err.addf(arg, "inferred type %s for %s does not match type %s of %s", inferred, tpar, targ, arg.expr)
			} else {
				err.addf(arg, "type %s of %s does not match inferred type %s for %s", targ, arg.expr, inferred, tpar)
			}
		} else {
			err.addf(arg, "type %s of %s does not match %s", targ, arg.expr, tpar)
		}
	}

Tres Popp <******@****.***> 1648100645 -0700

    }
    func.return %0#0, %0#1 : tensor<2x2x1x2xi32>, tensor<2x2x1x2xf32>
  }
}

// CHECK:        name: "serving_default_x"
// CHECK-NEXT:   op: "_Arg"

// CHECK:        name: "tf.MaxPoolWithArgmax"
// CHECK-NEXT:   op: "MaxPoolWithArgmax"
// CHECK-NEXT:   input: "serving_default_x"


// CHECK:        name: "PartitionedCall"
// CHECK-NEXT:   op: "_Retval"

	if len(mgArgs.Components) != 0 {
		filteredManifests := name.ManifestMap{}
		for _, cArg := range mgArgs.Components {
			componentName := name.ComponentName(cArg)
			if cManifests, ok := manifests[componentName]; ok {
				filteredManifests[componentName] = cManifests
			} else {
				return fmt.Errorf("incorrect component name: %s. Valid options: %v", cArg, name.AllComponentNames)
			}
		}
		manifests = filteredManifests
	}

                                      data_types, outside_compilation_nodes, g,
                                      n);

  // In body_graph, create new _Arg/_Retval nodes, and replace lifted arg
  // nodes with the new _Arg nodes.
  std::vector<Node*> lifted_arg_nodes;
  lifted_arg_nodes.reserve(
      lifted_arg_nodes_and_outside_compilation_nodes.size());
  std::transform(

node {
  name: "input0"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }
}
node {
  name: "args_0"
  op: "_Arg"
  attr {
    key: "T"
    value {
      type: DT_RESOURCE
    }
  }
  attr {
    key: "index"
    value {
      i: 0
    }
  }
}
node {
  name: "spc1"

                .generatedFile(CLASS_OUTPUT, "META-INF/gradle/instrumentation/instrumented-classes.txt")
                .contentsAsString(StandardCharsets.UTF_8)
                .isEqualTo("org/gradle/api/Rule\norg/gradle/api/Task")
    }

// value "true".
extern const char kXlaIsLiftedArgAttrName[];

// Attribute indicating that this node is a Placeholder node for an _Arg node
// lifted out of If/While/function node. Attribute value will be a string, which
// is the outside compilation cluster name sending the lifted arg node to host.
extern const char kXlaLiftedArgOutsideCompilationAttrName[];

// Attribute indicating that this is an IdentityN node receiving inputs for a

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