// updated in the function.
  llvm::SmallSet<int, 4> indexes;
  for (BlockArgument &arg : func.getArguments()) {
    if (tensor_list_args.contains(arg.getArgNumber())) {
      for (const mlir::OpOperand &use : arg.getUses()) {
        mlir::Operation *op = use.getOwner();
        // Currently we only check if the tensorlist argument is consumed by
        // `TensorListPushBack` or `TensorListResize`, since those are the only

        loc, DenseElementsAttr::get(tensorflow::GetTypeFromTFTensorShape(
                                        {}, rewriter.getIntegerType(64)),
                                    op.getAxis()));
    int64_t axis = op.getAxis();

    Type prev_input_ty, inferred_ty;
    SmallVector<Value, 4> expanded_inputs;
    expanded_inputs.reserve(op.getN());
    for (Value input : op.getValues()) {

	}
	return s, nil
}

func (fk *fakeKubelet) GetExec(_ context.Context, podFullName string, podUID types.UID, containerName string, cmd []string, streamOpts remotecommandserver.Options) (*url.URL, error) {
	if fk.getExecCheck != nil {
		fk.getExecCheck(podFullName, podUID, containerName, cmd, streamOpts)
	}
	// Always use testContainerID
	resp, err := fk.streamingRuntime.GetExec(&runtimeapi.ExecRequest{
		ContainerId: testContainerID,

		return remote.ErrContainerStatusNil
	}
	return m.ReadLogs(ctx, status.GetLogPath(), containerID.ID, logOptions, stdout, stderr)
}

// GetExec gets the endpoint the runtime will serve the exec request from.
func (m *kubeGenericRuntimeManager) GetExec(ctx context.Context, id kubecontainer.ContainerID, cmd []string, stdin, stdout, stderr, tty bool) (*url.URL, error) {
	req := &runtimeapi.ExecRequest{
		ContainerId: id.ID,

// `cluster_ops` with a non-static shape.
bool HasDynamicOutputs(const llvm::SmallSetVector<Operation*, 4>& cluster_ops) {
  for (Operation* op : cluster_ops) {
    for (const OpOperand& use : op->getUses()) {
      if (cluster_ops.count(use.getOwner())) {
        continue;
      }
      if (mlir::TF::CanBeRefined(use.get().getType())) return true;
    }
  }
  return false;
}

    ResourceInfo info;
    info.data_type = GetResourceSubtype(resource);
    llvm::BitVector written_regions(op_->getNumRegions());
    bool unsupported_use = false;
    for (OpOperand& use : resource.getUses()) {
      Operation* user = use.getOwner();
      // If the user is not in one of the regions, we are not interested in it.
      // Since all the sub-regions within this region (i.e., regions attached to

        !(qtype.isa<mlir::quant::UniformQuantizedType>() ||
          qtype.isa<mlir::quant::UniformQuantizedPerAxisType>())) {
      return;
    }
    for (auto& use : value.getUses()) {
      Operation* user = use.getOwner();
      if (user->hasTrait<mlir::OpTrait::IsTerminator>()) continue;

      auto affine_user = llvm::dyn_cast<mlir::AffineQuantizedOpInterface>(user);
      if (affine_user &&

        try ( SmbTreeHandleImpl th = ensureTreeConnected() ) {
            SecurityDescriptor desc = querySecurity(th, SecurityInfo.DACL_SECURITY_INFO);
            ACE[] aces = desc.getAces();
            if ( aces != null ) {
                processAces(aces, resolveSids);
            }

            return aces;
        }
    }


    @Override

    // replication region.
    if (!IsTPUOp(op)) continue;
    for (Value result : op->getResults()) {
      std::vector<std::pair<Operation*, int64_t>> out_of_region_use;
      for (OpOperand& use : result.getUses()) {
        auto use_owner = use.getOwner();
        // TODO(bfontain): Error check here, if the use.getOwner() is not a TPU
        // then this op must be a TPUReplicatedOutputOp.