EXPECT_THAT(*shape, ElementsAre(-1));
  std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> size_op(
      TFE_NewOp(context.get(), "Size", status.get()), TFE_DeleteOp);
  auto result = parallel_device.Execute(
      context.get(), {unknown_dims_vector.get()}, "Size",
      TFE_OpGetAttrs(size_op.get()), 1, status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK);
  TF_ASSERT_OK((*result)[0]->Shape(&shape));

void StringVectorToArrays(const std::vector<string>& v,
                          std::unique_ptr<const void*[]>* ptrs,
                          std::unique_ptr<size_t[]>* lens) {
  ptrs->reset(new const void*[v.size()]);
  lens->reset(new size_t[v.size()]);
  for (size_t i = 0; i < v.size(); ++i) {
    (*ptrs)[i] = v[i].data();
    (*lens)[i] = v[i].size();
  }
}

class CApiColocationTest : public ::testing::Test {

    fprintf(stderr, "TF_GetLocalTempDirectories returned no results\n");
    return 1;
  }

  char file_name[100];
  time_t t = time(NULL);
  snprintf(file_name, sizeof(file_name), "test-%d-%ld.txt", getpid(), t);

  size_t length = 2 + strlen(path) + strlen(file_name);
  char* full_path = malloc(length);
  snprintf(full_path, length, "%s/%s", path, file_name);

  TF_WritableFileHandle* h;

      const ParallelDevice& parallel_device,
      std::vector<TensorHandlePtr> components, absl::Span<const int64_t> shape,
      TF_Status* status);

  size_t num_tensors() const { return tensors_.size(); }
  TFE_TensorHandle* tensor(size_t index) const { return tensors_[index].get(); }

  // If the `shape` argument to `FromTensorHandles` is specified, returns that.
  //

}

const char* TF_GraphDebugString(TF_Graph* graph, size_t* len) {
  tensorflow::mutex_lock c(graph->mu);
  const auto& debug_str = graph->graph.ToGraphDefDebug().DebugString();
  *len = debug_str.size();
  char* ret = static_cast<char*>(malloc(*len + 1));
  memcpy(ret, debug_str.c_str(), *len + 1);
  return ret;
}

char* TF_FunctionDebugString(TF_Function* func, size_t* len) {

        assertEquals(80L, MemoryUtil.sizeOf(LocalDateTime.now()));
        assertEquals(2128L, MemoryUtil.sizeOf(ZonedDateTime.now()));
        assertEquals(66L, MemoryUtil.sizeOf("1234567890"));
        assertEquals(76L, MemoryUtil.sizeOf("12345678901234567890"));
        assertEquals(66L, MemoryUtil.sizeOf(new String[] { "1234567890" }));

            long size = 0;
            for (final Object value : (Object[]) obj) {
                size += sizeOf(value);
            }
            return size;
        }
        if (obj instanceof Collection<?>) {
            long size = 0;
            for (final Object value : (Collection<?>) obj) {
                size += sizeOf(value);
            }
            return size;
        }
        if (obj instanceof Map<?, ?>) {

      methods));
}

TFE_TensorHandle* TFE_NewTensorHandleFromDeviceMemory(
    TFE_Context* ctx, const char* device_name, TF_DataType dtype,
    const int64_t* dims, int num_dims, void* data, size_t len,
    void (*deallocator)(void* data, size_t len, void* arg),
    void* deallocator_arg, TF_Status* status) {
  tensorflow::Device* device = nullptr;
  tensorflow::EagerContext* context =

  int64_t dims[] = {2, 2};
  double data[] = {1.0, 2.0, 3.0, 4.0};
  TF_Status* status = TF_NewStatus();
  TF_Tensor* t = TFE_AllocateHostTensor(ctx, TF_DOUBLE, &dims[0],
                                        sizeof(dims) / sizeof(int64_t), status);
  memcpy(TF_TensorData(t), &data[0], TF_TensorByteSize(t));
  TFE_TensorHandle* th = TFE_NewTensorHandleFromTensor(ctx, t, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

                                           size_t length) = 0;
  virtual absl::Status SetAttrTensor(const char* attr_name,
                                     AbstractTensorInterface* tensor) = 0;
  virtual absl::Status SetAttrStringList(const char* attr_name,
                                         const void* const* values,
                                         const size_t* lengths,