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 private:
  void DeleteInputValues();
  void ResetOutputValues();

  TF_Session* session_;
  std::vector<TF_Output> inputs_;
  std::vector<TF_Tensor*> input_values_;
  std::vector<TF_Output> outputs_;
  std::vector<TF_Tensor*> output_values_;
  std::vector<TF_Operation*> targets_;
};

	VFWCVTXUFV	X10, V3				// ERROR "expected vector register in vs2 position"
	VFWCVTXFV	X10, V3				// ERROR "expected vector register in vs2 position"
	VFWCVTRTZXUFV	X10, V3				// ERROR "expected vector register in vs2 position"
	VFWCVTRTZXFV	X10, V3				// ERROR "expected vector register in vs2 position"
	VFWCVTFXUV	X10, V3				// ERROR "expected vector register in vs2 position"
	VFWCVTFXV	X10, V3				// ERROR "expected vector register in vs2 position"

	VWADDWX		X10, V2, V4, V3			// ERROR "invalid vector mask register"
	VWSUBWV		V1, V2, V4, V3			// ERROR "invalid vector mask register"
	VWSUBWX		X10, V2, V4, V3			// ERROR "invalid vector mask register"
	VWCVTXXV	V2, V1, V3			// ERROR "invalid vector mask register"
	VWCVTUXXV	V2, V1, V3			// ERROR "invalid vector mask register"
	VZEXTVF2	V2, V3, V4			// ERROR "invalid vector mask register"

  // Process inputs.
  std::vector<tensorflow::OutputTensor> input_tensors;
  std::unordered_map<const Node*, std::vector<int>> input_nodes;
  status->status = tensorflow::ProcessInputs(fn_body, fn_name, ninputs, inputs,
                                             &input_tensors, &input_nodes);
  if (TF_GetCode(status) != TF_OK) return nullptr;

  // Process outputs.
  std::vector<tensorflow::OutputTensor> output_tensors;

    std::vector<TF_Output> out;
    for (auto op : ops) {
      out.push_back({op, 0});
    }
    return out;
  }

  void Define(int num_opers, const std::vector<TF_Operation*>& opers,
              const std::vector<TF_Operation*>& inputs,
              const std::vector<TF_Operation*>& outputs,
              const std::vector<string>& output_names,
              bool expect_failure = false) {

    // Input tensors
    const std::vector<std::pair<string, Tensor>>& input_pairs,
    // Output tensors
    const std::vector<string>& output_tensor_names, TF_Tensor** c_outputs,
    // Target nodes
    const std::vector<string>& target_oper_names, TF_Buffer* run_metadata,
    TF_Status* status) {
  const int noutputs = output_tensor_names.size();
  std::vector<Tensor> outputs(noutputs);
  Status result;

  }

  // Checks the expected result of shape inference for the given `op`.
  void CheckOutputShapes(
      TFE_Op* op,
      const std::vector<absl::optional<std::vector<int64_t>>>& input_shapes_vec,
      const std::vector<TF_Tensor*>& input_tensors,
      const absl::optional<std::vector<int64_t>>& expected_shape) {
    // Create input_shapes.
    TF_ShapeAndTypeList* input_shapes =

  if (!status->status.ok()) return;

  // Initialize a input_tensor vector with `nullptr` values.
  std::vector<const Tensor*> input_tensors_vector(num_inputs, nullptr);
  // A vector to keep track of newly created `tf::Tensor` objects.
  std::vector<Tensor> all_input_tensors;
  // Update the vector with information from `input_tensors` if provided.
  if (input_tensors != nullptr) {