/*expect_persistent_cache_use=*/false));

  // Reset the cluster numbering between sessions so we can get the same
  // cluster numbering.
  testing::ResetClusterSequenceNumber();

  // Run again but these should all hit in the persistent cache.
  listener()->ClearListenerHistory();
  for (int b = 1; b < 4; ++b) {
    TF_ASSERT_OK(ExecuteWithBatch(graph, b));
  }

      /*expect_persistent_cache_use=*/false));

  // Reset the cluster numbering between sessions so we can get the same
  // cluster numbering.
  testing::ResetClusterSequenceNumber();

  auto status =
      AlterPersistentCacheEntryHloModuleNames(tensorflow::testing::TmpDir());
  EXPECT_FALSE(status.ok());
  EXPECT_TRUE(absl::StrContains(
      status.message(),

#include "tensorflow/tools/optimization/optimization_pass_runner.h"

namespace tensorflow {
namespace {
absl::StatusOr<string> SummarizeClustering(
    const GraphDef& auto_clustered_graph_def) {
  testing::ResetClusterSequenceNumber();
  Graph graph(OpRegistry::Global());
  GraphConstructorOptions graph_opts;
  graph_opts.expect_device_spec = true;
  graph_opts.allow_internal_ops = true;
  TF_RETURN_IF_ERROR(