private String server;
        private String share;
        private String path;
        private int pathConsumed;


        /**
         * 
         */
        public TestDfsReferral ( String server, String share, String path, int pathConsumed ) {
            this.server = server;
            this.share = share;
            this.path = path;
            this.pathConsumed = pathConsumed;

  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  const std::vector<std::unique_ptr<ParallelTensor>>& handles = *outputs;
  const std::vector<int64_t>* shape;
  absl::Status s = handles[0]->Shape(&shape);
  ASSERT_TRUE(s.ok());
  EXPECT_EQ(0, shape->size());
}

TEST(PARALLEL_DEVICE_LIB, TestCancelOnError) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);

    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;

  // 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.

      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;

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

                          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 ) {

    TF_RETURN_IF_ERROR(operation->SetAttrType("dtype", dtype));
    if (!shape.unknown_rank()) {
      TF_RETURN_IF_ERROR(operation->SetAttrShape(
          "shape", reinterpret_cast<int64_t*>(shape.dim_sizes().data()),
          shape.dims()));
    }
    int num_outputs = 1;
    std::vector<AbstractTensorHandle*> outputs(num_outputs);
    TF_RETURN_IF_ERROR(operation->Execute(

                </mxCell>
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                    <mxGeometry width="500" height="350" as="geometry"/>
                </mxCell>