TEST_F(VariableOpsTest, CreateVariableSuccessful) {
  // Create a DT_Resource TensorHandle that points to a scalar DT_FLOAT tensor
  ImmediateTensorHandlePtr handle;
  TF_EXPECT_OK(internal::CreateUninitializedResourceVariable(
      context(), DT_FLOAT, {}, nullptr, &handle));
  // The created TensorHandle should be a DT_Resource
  EXPECT_EQ(handle->DataType(), DT_RESOURCE);
}

// Sanity check for variable destruction

    const std::vector<std::string>& component_devices,
    std::unique_ptr<Variable>* output) {
  ImmediateTensorHandlePtr handle;

  if (component_devices.empty()) {
    TF_RETURN_IF_ERROR(internal::CreateUninitializedResourceVariable(
        ctx, dtype, shape, raw_device_name, &handle));
    output->reset(
        new Variable(ctx, dtype, shape, std::move(name), std::move(handle)));
    return Status();
  }

// unitialized TF2 tf.Variable.
// https://github.com/tensorflow/tensorflow/blob/516608035f85cec8b126712b0ff8407220206b22/tensorflow/python/ops/resource_variable_ops.py#L1867-L1872
Status CreateUninitializedResourceVariable(ImmediateExecutionContext* ctx,
                                           DataType dtype, TensorShape shape,
                                           const char* raw_device_name,

#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/platform/types.h"

namespace tensorflow {
namespace internal {

Status CreateUninitializedResourceVariable(ImmediateExecutionContext* ctx,
                                           DataType dtype, TensorShape shape,
                                           const char* raw_device_name,