"-name=RuntimeLowering",
            ],
            "runtime_passes.h.inc",
        ),
    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "runtime_passes.td",
    deps = [
        "@llvm-project//mlir:PassBaseTdFiles",
    ],
)

cc_library(
    name = "runtime_passes",
    hdrs = [
        "runtime_passes.h",
    ],
    textual_hdrs = [
        "runtime_passes.h.inc",

#include "tensorflow/compiler/mlir/register_common_dialects.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/lower_cluster_to_runtime_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/runtime_passes.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/passes.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/sparsecore_passes.h"

#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "mlir/Transforms/Passes.h"  // from @llvm-project
#include "tensorflow/compiler/jit/flags.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/runtime_passes.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/passes.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/sparsecore_passes.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/attribute_utils.h"

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_types.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/runtime_passes.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/tpu_metadata_utils.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/attribute_utils.h"

  return absl::StrCat("VariablesFormatState_", tensorflow::random::New64());
}

#define GEN_PASS_DEF_TPUVARIABLERUNTIMEREFORMATTINGPASS
#include "tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/runtime_passes.h.inc"

struct TPUVariableRuntimeReformattingPass
    : public impl::TPUVariableRuntimeReformattingPassBase<
          TPUVariableRuntimeReformattingPass> {
  void runOnOperation() final;
};

constexpr char kDeviceAttr[] = "device";
constexpr char kFuncDeviceAttr[] = "tf.device";

#define GEN_PASS_DEF_TPUMERGEVARIABLESWITHEXECUTEPASS
#include "tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/runtime_passes.h.inc"

class TPUMergeVariablesWithExecutePass
    : public impl::TPUMergeVariablesWithExecutePassBase<
          TPUMergeVariablesWithExecutePass> {
  void runOnOperation() override;
};

        getModule(_) >> { module(it[0], false) }
        getExternalModule(_) >> { module(it[0], true) }
    }

    def runtimeClasses = Spy(TestClassDetector)
    def classDetectorFactory = Mock(ForkedTestClasspathFactory.ClassDetectorFactory) {
        create(_, _) >> { runtimeClasses }
    }
    ForkedTestClasspathFactory underTest = new ForkedTestClasspathFactory(moduleRegistry, classDetectorFactory)

	"networking.k8s.io/v1/ingresses":                                    "39NQlfNR+bo=",
	"networking.k8s.io/v1/ingressclasses":                               "l/iqIbDgFyQ=",
	"node.k8s.io/v1/runtimeclasses":                                     "WQTu1GL3T2Q=",
	"policy/v1/poddisruptionbudgets":                                    "EVWiDmWqyJw=",
	"rbac.authorization.k8s.io/v1/clusterrolebindings":                  "48tpQ8gZHFc=",

}

// RuntimeClass defines a class of container runtime supported in the cluster.
// The RuntimeClass is used to determine which container runtime is used to run
// all containers in a pod. RuntimeClasses are (currently) manually defined by a
// user or cluster provisioner, and referenced in the PodSpec. The Kubelet is
// responsible for resolving the RuntimeClassName reference before running the
// pod.  For more details, see

}

// RuntimeClass defines a class of container runtime supported in the cluster.
// The RuntimeClass is used to determine which container runtime is used to run
// all containers in a pod. RuntimeClasses are manually defined by a
// user or cluster provisioner, and referenced in the PodSpec. The Kubelet is
// responsible for resolving the RuntimeClassName reference before running the
// pod.  For more details, see