return "", fmt.Errorf("podExec error: %s\n\nstderr:\n%s\n\nstdout:\n%s",
			err, util.ConsolidateLog(stderr), stdout)
	}
	return stdout, nil
}

// RunCmd runs the given command in kubectl, adding -n namespace if namespace is not empty.
func (r *Runner) RunCmd(command, namespace, kubeConfig, kubeContext string, dryRun bool) (string, error) {
	return r.Run(strings.Split(command, " "),
		&Options{
			Namespace:  namespace,

        name = name,
        srcs = ["@llvm-project//llvm:lit"],
        tags = tags + ["no_pip", "no_windows"],
        args = [
            "tensorflow/compiler/mlir/" + paths.basename(data[-1]) + " --config-prefix=runlit -v",
        ] + features,
        data = data + [
            "//tensorflow/compiler/mlir:litfiles",
            "@llvm-project//llvm:FileCheck",
            "@llvm-project//llvm:count",

  - path: /etc/systemd/system/kubernetes.target
    permissions: 0644
    owner: root
    content: |
      [Unit]
      Description=Kubernetes

      [Install]
      WantedBy=multi-user.target

runcmd:
 - systemctl daemon-reload
 - systemctl enable kube-bootstrap-logs-forwarder.service
 - systemctl enable kube-master-installation.service
 - systemctl enable kube-master-internal-route.service

        "//tensorflow/core/lib/monitoring:cell_reader",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",
    ],
)

filegroup(
    name = "litfiles",
    srcs = glob(["runlit*py"]),
    visibility = ["//tensorflow:__subpackages__"],
)