Input input = Shape(scope, op.input(0));
  Input input_min = op.input(1);
  Input input_max = op.input(2);
  int64_t axis;
  TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "axis", &axis));
  auto qdq_v4_grad = QuantizeAndDequantizeV4Grad(
      scope, grad_inputs[0], input, input_min, input_max,
      QuantizeAndDequantizeV4Grad::Axis(axis));
  grad_outputs->push_back(qdq_v4_grad.input_backprop);

  // Checks preconditions to adjust bias scale.
  bool ShouldCheckBiasScale(Operation* op, int bias_index,
                            ArrayRef<int> input_indices,
                            QuantizedType quantized_type, int& input_index,
                            int& filter_index);

  // Preprocesses the constants by doing the following:
  //   - Duplicates constants if it is used by multiple ops. For example, if a

  std::set<int> variables_updated;
  for (const auto& resource_update : compilation_result.resource_updates) {
    if (resource_update.modified) {
      variables_updated.insert(resource_update.input_index);
    }
  }
  return GetVariableInfosFromInputs(ctx->resource_manager(), ctx->device(),
                                    inputs, variable_indices,