ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_DeleteExecutor(executor);
  TF_DeleteStatus(status);
}

// Read the value of variable `var` and save it into `out_value`.
void ReadVariable(TFE_Context* ctx, TFE_TensorHandle* var,
                  TFE_TensorHandle** out_value) {
  TF_Status* status = TF_NewStatus();
  TFE_Op* op = TFE_NewOp(ctx, "ReadVariableOp", status);

  TFE_DeleteTensorHandle(value_handle);
  TFE_DeleteContext(ctx);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteStatus(status);
}

void BM_ReadVariable(::testing::benchmark::State& state) {
  TF_Status* status = TF_NewStatus();
  TFE_ContextOptions* opts = TFE_NewContextOptions();
  TFE_Context* ctx = TFE_NewContext(opts, status);

*   `tf.lite`:

    *   The recommended Android NDK version for building TensorFlow Lite has
        been changed from r18b to r19c.
    *   Supports int64 for mul.
    *   Supports native variable builtin ops - ReadVariable, AssignVariable.
    *   Converter:
        *   Experimental support for variables in TFLite. To enable through
            conversion, users need to set