// Get iterators to the tensors.
  const auto input_values_it = input_tensor.getValues<float>().begin();
  const auto weights_values_ptr = weights_tensor.getValues<float>().begin();
  auto weights_row_it = weights_values_ptr;
  // The 'else' case could be nullptr, but the types don't match.
  auto bias_values_it =
      has_bias ? bias_tensor.getValues<float>().begin() : input_values_it;

void CSession::Run(TF_Status* s) {
  if (inputs_.size() != input_values_.size()) {
    ADD_FAILURE() << "Call SetInputs() before Run()";
    return;
  }
  ResetOutputValues();
  output_values_.resize(outputs_.size(), nullptr);

  const TF_Output* inputs_ptr = inputs_.empty() ? nullptr : &inputs_[0];
  TF_Tensor* const* input_values_ptr =
      input_values_.empty() ? nullptr : &input_values_[0];

 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_;
};