template <typename T>
void ReplicateTensorListForUses(T tensor_list_op) {
  Value tensor_list = tensor_list_op.getResult();
  std::vector<OpOperand*> uses;
  for (auto& use : tensor_list.getUses()) {
    uses.emplace_back(&use);
  }
  OpBuilder builder(tensor_list_op.getOperation());
  for (OpOperand* operand : uses) {
    auto new_op = builder.clone(*tensor_list_op.getOperation());

    }
    OpBuilder builder(op);
    llvm::StringMap<mlir::Operation *> cloned_op_by_device;
    bool all_uses_replaced = true;

    for (mlir::OpOperand &use :
         llvm::make_early_inc_range(op.getResult().getUses())) {
      mlir::Operation *user_op = use.getOwner();
      StringAttr device_attr = user_op->getAttrOfType<StringAttr>(kDeviceAttr);
      if (!device_attr) {
        all_uses_replaced = false;
        continue;
      }

	secret, err := createSecretMap(spec, plugin, pod.Namespace)
	if err != nil {
		return nil, err
	}
	return plugin.newMounterInternal(spec, pod.UID, &ISCSIUtil{}, plugin.host.GetMounter(plugin.GetPluginName()), plugin.host.GetExec(plugin.GetPluginName()), secret)
}

	return func(types.UID) {
		//nolint:logcheck
		klog.ErrorS(nil, "DeleteServiceAccountToken unsupported in PersistentVolumeController")
	}
}

func (adc *PersistentVolumeController) GetExec(pluginName string) utilexec.Interface {
	return utilexec.New()
}

func (ctrl *PersistentVolumeController) GetNodeLabels() (map[string]string, error) {

      Value value = todo.front();
      todo.pop();
      // All operations that have all their inputs available are good to go.
      // Uses, not Users, in case getUsers ever dedups.
      for (OpOperand& operand : value.getUses()) {
        Operation* user = ancestor[operand.getOwner()];
        remaining_incoming_data_edges[user]--;
        if (remaining_incoming_data_edges[user] == 0 &&
            remaining_incoming_ctrl_edges[user] == 0) {

// before or above the parallel_execute.
TF::AssignVariableOp GetSingleUseResourceWrite(
    tf_device::ParallelExecuteOp parallel_execute, Value result) {
  if (!result.hasOneUse()) return nullptr;

  OpOperand& use = *result.getUses().begin();
  auto assign_var = dyn_cast<TF::AssignVariableOp>(use.getOwner());
  if (!assign_var) return nullptr;

  if (use.get() != assign_var.getValue()) return nullptr;

    for (auto m : fqOp.getMax())
      max.push_back(cast<FloatAttr>(m).getValueAsDouble());

    return fakeQuantAttrsToType(fqOp.getLoc(), fqOp.getNumBits(),
                                fqOp.getAxis(), min, max, fqOp.getNarrowRange(),
                                expressedType, fqOp.getIsSigned());
  }
};

void ConvertSimulatedQuantPass::runOnOperation() {
  bool hadFailure = false;

    Value res = read.getResource();
    Operation* scope = res.getParentBlock()->getParentOp();
    if (!scope->isProperAncestor(replicate)) continue;
    bool has_conflicting_write = false;
    for (OpOperand& use : res.getUses()) {
      Operation* using_op = use.getOwner();
      if (using_op == read) continue;
      if (!replicate->isProperAncestor(using_op)) continue;
      Operation* peer = GetAncestorBelow(using_op, replicate);

// multiple such activations, one is returned (with no guarantee as to which
// one). If there are no activation functions that use the output, returns
// nullptr.
Operation *GetActivation(Value op) {
  for (auto &use : op.getUses()) {
    if (IsActivationFunction(use.getOwner())) return use.getOwner();
  }
  return nullptr;
}

// Finds and returns a BiasAdd that uses the result of `op` as the `value`

    llvm::SmallVector<Operation*> users(op->getUsers().begin(),
                                        op->getUsers().end());

    bool changed = false;
    for (auto& use : op->getUses()) {
      Operation* user_op = use.getOwner();
      int user_idx = use.getOperandNumber();
      if (!IsOpWithInt8TypeOperand(user_op)) continue;
      // If the next op is terminator, function type needs to be changed so