ShapeHandle shape_handle = c.output(i);
    TF_ShapeAndType& shape = output_shapes_result->items[i];
    shape.num_dims = c.Rank(shape_handle);
    if (shape.num_dims == InferenceContext::kUnknownRank) {
      shape.dims = nullptr;
      continue;
    }
    shape.dims = new int64_t[shape.num_dims];
    for (size_t j = 0; j < shape.num_dims; ++j) {
      shape.dims[j] = c.Value(c.Dim(shape_handle, j));
    }
  }

    private final List<StackTraceElement[]> releases;

    private DfsReferralData treeReferral;


    SmbTreeImpl ( SmbSessionImpl session, String share, String service ) {
        this.session = session.acquire();
        this.share = share.toUpperCase();
        if ( service != null && !service.startsWith("??") ) {
            this.service = service;
        }
        this.service0 = this.service;

     */
    int connectionState;
    int tid;

    String share;
    String service = "?????";
    String service0;
    SmbSession session;
    boolean inDfs, inDomainDfs;
    int tree_num; // used by SmbFile.isOpen

    SmbTree( SmbSession session, String share, String service ) {
        this.session = session;
        this.share = share.toUpperCase();
        if( service != null && service.startsWith( "??" ) == false ) {

        return "smb1://";
    }

/**
 * Retrieves the share associated with this SMB resource. In
 * the case of <code>smb1://</code>, <code>smb1://workgroup/</code>,
 * and <code>smb1://server/</code> URLs which do not specify a share,
 * <code>null</code> will be returned.
 *
 * @return  The share component or <code>null</code> if there is no share
 */

    public String getShare() {
        return share;

  // devices of a ParallelDevice. If called, ParallelTensor::Shape inspects
  // `components` to determine a shape.
  static std::unique_ptr<ParallelTensor> FromTensorHandles(
      const ParallelDevice& parallel_device,
      std::vector<TensorHandlePtr> components, TF_Status* status);
  // Uses the provided shape without additional checks, which avoids blocking
  // when ParallelTensor::Shape is called.

  dltensor_in->device = {kDLCPU, 0};
  dltensor_in->ndim = static_cast<int32_t>(shape.size());
  dltensor_in->dtype = {kDLFloat, 32, 1};
  dltensor_in->shape = shape.data();
  dltensor_in->strides = strides.data();
  TFE_TensorHandle* handle = TFE_HandleFromDLPack(&dlm_in, status, ctx);
  ASSERT_NE(handle, nullptr)
      << TF_Message(status) << " (shape=[" << absl::StrJoin(shape, ",")
      << "], strides=[" << absl::StrJoin(strides, ",") << "])";

                this.canon = "/" + this.share + "/" + StringUtil.join("/", remainParts) + ( trailingSlash ? "/" : "" );
            }
            else {
                this.unc = "\\";
                if ( this.share != null ) {
                    this.canon = "/" + this.share + ( trailingSlash ? "/" : "" );
                }
                else {

      new ParallelTensor(parallel_device, std::move(components), dtype));
}

absl::Status ParallelTensor::Shape(const std::vector<int64_t>** shape) const {
  if (!shape_.has_value()) {
    TF_Status status;
    PartialTensorShape combined_shape;
    TF_RETURN_IF_ERROR(unwrap(tensors_[0].get())->Shape(&combined_shape));

    for (const TensorHandlePtr& component : tensors_) {
      PartialTensorShape component_shape;

                          SmbTreeImpl uct = smbSession.getSmbTree(share, null).unwrap(SmbTreeImpl.class);
                          SmbTreeImpl ct = connectTree(loc, host, share, trans, uct, dr) ) {

                        if ( dr != null ) {
                            ct.setTreeReferral(dr);
                            if ( dr != start ) {

  if (reader_ != nullptr) {
    status = reader_->GetTensor(name, out_tensor);
  } else {
    tensorflow::DataType dtype;
    tensorflow::TensorShape shape;
    status = v2_reader_->LookupDtypeAndShape(name, &dtype, &shape);
    if (status.ok()) {
      out_tensor->reset(new Tensor(dtype, shape));
      status = v2_reader_->Lookup(name, out_tensor->get());
      if (!status.ok()) out_tensor->reset();
    }
  }
  if (!status.ok()) {