// Setup second referral
            DfsReferralDataImpl second = new DfsReferralDataImpl();
            when(mockReferral.getNode()).thenReturn("\\server2\\share2\\path2");
            second = DfsReferralDataImpl.fromReferral(mockReferral, "\\\\server2\\share2\\path2", System.currentTimeMillis() + 20000, 15);
            second.setDomain("DOMAIN");

            // Combine

    return nullptr;
  }
  tensorflow::PartialTensorShape partial_shape;
  if (shape.num_dims != -1) {
    DCHECK(shape.dim_sizes != nullptr);
    Status status = tensorflow::PartialTensorShape::MakePartialShape(
        reinterpret_cast<int64_t*>(shape.dim_sizes), shape.num_dims,
        &partial_shape);
    if (!status.ok()) {
      tsl::Set_TF_Status_from_Status(s, status);

namespace tensorflow {

std::string AbstractTensorHandle::DebugString() const {
  PartialTensorShape shape;
  absl::Status s = Shape(&shape);
  std::string shape_string;
  if (!s.ok()) {
    shape_string = "<error computing shape>";
  } else {
    shape_string = shape.DebugString();
  }
  return absl::StrCat("TensorHandle(shape=", shape_string,
                      ", dtype=", DataType_Name(DataType()),

  CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_);

  // Infer shape when everything is known.
  CheckOutputShapes(matmul_op,
                    /*input_shapes*/ {make_shape({3, 2}), make_shape({2, 4})},
                    /*input_tensors*/ {},
                    /*expected_shape*/ make_shape({3, 4}));

  // Infer shape when second operand has unknown shape.
  CheckOutputShapes(matmul_op,

namespace tensorflow {

std::string ImmediateExecutionTensorHandle::DebugString() const {
  PartialTensorShape shape;
  std::string shape_string;
  if (Shape(&shape).ok()) {
    shape_string = shape.DebugString();
  } else {
    shape_string = "<error computing shape>";
  }
  std::string value_string;
  if (!SummarizeValue(value_string).ok()) {
    value_string = "<error computing value>";
  }

        shareInfo1.type = 0;
        shareInfo1.remark = "Remark for Share1";

        srvsvc.ShareInfo1 shareInfo2 = new srvsvc.ShareInfo1();
        shareInfo2.netname = "Share2";
        shareInfo2.type = 1;
        shareInfo2.remark = "Remark for Share2";

        // Create ShareInfoCtr1 with the shares
        srvsvc.ShareInfoCtr1 shareInfoCtr1 = new srvsvc.ShareInfoCtr1();
        shareInfoCtr1.count = 2;

    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));
    }
  }

// TODO(b/193656009): Defining these in a cc file causes linker errors with
// fastbuild.
inline absl::Status AbstractOperation::SetAttrShape(
    const char* attr_name, const PartialTensorShape shape) {
  return SetAttrShape(attr_name, shape.dim_sizes().data(), shape.dims());
}

inline absl::Status AbstractOperation::SetAttrStringList(
    const char* attr_name, absl::Span<string const> values) {
  std::vector<const char*> raw_strs;

        dfsEnumArray.s[0] = new DfsInfo200();
        dfsEnumArray.s[0].dfs_name = "\\domain\share1";
        dfsEnumArray.s[1] = new DfsInfo200();
        dfsEnumArray.s[1].dfs_name = "\\domain\share2";

        // Manually set the DfsEnumArray200 to the info struct
        dfsRootEnum.info.e = dfsEnumArray;

        // When
        FileEntry[] entries = dfsRootEnum.getEntries();

        // Then

  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()) {