Status IgnoreResourceOpForSafetyAnalysis(
    jit::DeviceInfoCache* device_info_cache, const Node& n, bool* ignore) {
  // If a resource operation is assigned to XLA_CPU or XLA_GPU explicitly then
  // ignore it during resource operation safety analysis.  We need this hack
  // because of two reasons:
  //
  //  1. Operations assigned to XLA_CPU and XLA_GPU have to always be compiled.

	}

	authority := ""
	if in.Headers != nil {
		operations := TranslateHeadersOperations(in.Headers)
		out.RequestHeadersToAdd = operations.RequestHeadersToAdd
		out.ResponseHeadersToAdd = operations.ResponseHeadersToAdd
		out.RequestHeadersToRemove = operations.RequestHeadersToRemove
		out.ResponseHeadersToRemove = operations.ResponseHeadersToRemove
		authority = operations.Authority
	}

	var hostnames []host.Name

  return LogicalResult::success();
}

LogicalResult FindCoreTPUOps(
    llvm::SetVector<Operation*>& core_tpu_ops,
    const llvm::SetVector<Operation*>& forward_pass_ops,
    const llvm::SetVector<Operation*>& backward_pass_ops,
    const llvm::SetVector<Operation*>& merged_set,
    func::FuncOp loop_body_func) {
  // Find all of the Ops that are part of the forward/backward pass but aren't

   * the map are reflected in the multimap, and vice versa. If the map is modified while an
   * iteration over one of the multimap's collection views is in progress (except through the
   * iterator's own {@code remove} operation, or through the {@code setValue} operation on a map
   * entry returned by the iterator), the results of the iteration are undefined.
   *

   * the map are reflected in the multimap, and vice versa. If the map is modified while an
   * iteration over one of the multimap's collection views is in progress (except through the
   * iterator's own {@code remove} operation, or through the {@code setValue} operation on a map
   * entry returned by the iterator), the results of the iteration are undefined.
   *

    return success();
  };
};

static LogicalResult static_dag_matcher(
    PatternRewriter &rewriter, Operation *op,
    ::llvm::SmallVector<Operation *, 4> &target_ops,
    Operation::operand_range &max, Operation::operand_range &min,
    Operation::operand_range &input, IntegerAttr &num_bits,
    BoolAttr &narrow_range) {
  auto fakequant_op = ::llvm::dyn_cast<TF::FakeQuantWithMinMaxVarsOp>(op);

llvm::SmallSetVector<Value, 4> GetAllExternalOperands(
    const llvm::SmallSetVector<Operation*, 4>& cluster_ops) {
  llvm::SmallSetVector<Value, 4> external_values;
  for (Operation* op : cluster_ops) {
    op->walk([&](Operation* walked_op) {
      for (Value v : walked_op->getOperands()) {
        if (!tensorflow::TypeValidForXLA(v.getType())) continue;
        Operation* defining_op = v.getDefiningOp();

  bool IsWritten(Value resource) const {
    return written_resources_.contains(resource);
  }

  static LogicalResult HoistResourcesOutOfIfCaseCluster(Operation* op);
  static LogicalResult HoistResourcesOutOfWhileRegion(TF::WhileRegionOp op);

  Operation* op_;

  // Per resource information about accesses to that resource.
  struct ResourceInfo {
    // Is this resource read in any of the regions?
    bool is_read;

            operations.add(InternalBuildProgressListener.TRANSFORM_EXECUTION);
        }
        if (!testOutputProgressListeners.isEmpty()) {
            operations.add(InternalBuildProgressListener.TEST_OUTPUT);
        }
        if (!fileDownloadListeners.isEmpty()) {
            operations.add(InternalBuildProgressListener.FILE_DOWNLOAD);
        }
        if (!buildPhaseListeners.isEmpty()) {

    def getExecutePlannedStepOperations(int expectOperationsCount, boolean expectFailure = false) {
        def operations = buildOperations.all(ExecutePlannedTransformStepBuildOperationType)
        assert operations.every { (it.failure != null) == expectFailure }
        assert operations.size() == expectOperationsCount
        return operations
    }