Sizes:     types.SizesFor("gc", build.Default.GOARCH), // TODO(adonovan): use cfg.Compiler
		GoVersion: cfg.GoVersion,
	}
	info := &types.Info{
		Types:      make(map[ast.Expr]types.TypeAndValue),
		Defs:       make(map[*ast.Ident]types.Object),
		Uses:       make(map[*ast.Ident]types.Object),
		Implicits:  make(map[ast.Node]types.Object),
		Instances:  make(map[*ast.Ident]types.Instance),

#include "tensorflow/cc/ops/functional_ops.h"
#include "tensorflow/cc/ops/resource_variable_ops.h"
#include "tensorflow/cc/ops/sendrecv_ops.h"
#include "tensorflow/cc/ops/standard_ops.h"
#include "tensorflow/compiler/jit/defs.h"
#include "tensorflow/compiler/tf2xla/xla_op_kernel.h"
#include "tensorflow/compiler/tf2xla/xla_op_registry.h"
#include "tensorflow/core/common_runtime/graph_constructor.h"
#include "tensorflow/core/framework/node_def_util.h"

	if tok != scanner.Ident {
		in.expectText("expected identifier after '#'")
	}
	if !in.enabled() {
		// Can only start including again if we are at #else or #endif but also
		// need to keep track of nested #if[n]defs.
		// We let #line through because it might affect errors.
		switch in.Stack.Text() {
		case "else", "endif", "ifdef", "ifndef", "line":
			// Press on.
		default:
			return false
		}
	}

	}

	// Provide Config.Info with all maps so that info recording is tested.
	info := Info{
		Types:        make(map[syntax.Expr]TypeAndValue),
		Instances:    make(map[*syntax.Name]Instance),
		Defs:         make(map[*syntax.Name]Object),
		Uses:         make(map[*syntax.Name]Object),
		Implicits:    make(map[syntax.Node]Object),
		Selections:   make(map[*syntax.SelectorExpr]*Selection),

	}

	// Provide Config.Info with all maps so that info recording is tested.
	info := Info{
		Types:        make(map[ast.Expr]TypeAndValue),
		Instances:    make(map[*ast.Ident]Instance),
		Defs:         make(map[*ast.Ident]Object),
		Uses:         make(map[*ast.Ident]Object),
		Implicits:    make(map[ast.Node]Object),
		Selections:   make(map[*ast.SelectorExpr]*Selection),
		Scopes:       make(map[ast.Node]*Scope),

#include "tensorflow/cc/ops/control_flow_ops_internal.h"
#include "tensorflow/cc/ops/function_ops.h"
#include "tensorflow/cc/ops/sendrecv_ops.h"
#include "tensorflow/cc/ops/standard_ops.h"
#include "tensorflow/compiler/jit/defs.h"
#include "tensorflow/compiler/jit/test_util.h"
#include "tensorflow/compiler/jit/xla_cluster_util.h"
#include "tensorflow/compiler/tf2xla/cc/ops/xla_ops.h"
#include "tensorflow/compiler/tf2xla/xla_op_kernel.h"

#include "tensorflow/cc/ops/const_op.h"
#include "tensorflow/cc/ops/control_flow_ops.h"
#include "tensorflow/cc/ops/functional_ops.h"
#include "tensorflow/cc/ops/logging_ops.h"
#include "tensorflow/compiler/jit/defs.h"
#include "tensorflow/compiler/jit/device_util.h"
#include "tensorflow/compiler/jit/encapsulate_subgraphs_pass.h"
#include "tensorflow/compiler/jit/flags.h"
#include "tensorflow/compiler/jit/xla_cluster_util.h"

           /*include_compilation_only_kernels=*/false)) {
    KernelDef* def = new KernelDef(*jit_def);
    const std::unordered_set<std::string>* constant_inputs =
        XlaOpRegistry::CompileTimeConstantInputArgNames(def->op());

    for (const std::string& arg_name : *constant_inputs) {
      def->add_host_memory_arg(arg_name);
    }

    def->set_device_type(device);
    registrations->op_kernel_registrars.emplace_back(

      "      value: 'error_op:out'"
      "    }";
  tensorflow::FunctionDef def;
  CHECK(tensorflow::protobuf::TextFormat::ParseFromString(
      tensorflow::str_util::StringReplace(func_str, "__OP_NAME__", op_name,
                                          /*replace_all=*/true),
      &def));
  return def.SerializeAsString();
}

TEST(CAPI, ExecuteOpAndFunctionWithError) {

#include "absl/container/flat_hash_map.h"
#include "absl/container/flat_hash_set.h"
#include "absl/strings/str_cat.h"
#include "absl/strings/str_join.h"
#include "absl/strings/string_view.h"
#include "tensorflow/compiler/jit/defs.h"
#include "tensorflow/compiler/jit/device_util.h"
#include "tensorflow/compiler/jit/flags.h"
#include "tensorflow/compiler/jit/resource_operation_safety_analysis.h"
#include "tensorflow/compiler/jit/xla_activity.pb.h"