auto type = mlir::cast<mlir::TensorType>(arg.getType());
    if (type.hasRank()) {
      max_arg_size_ = std::max(max_arg_size_, GetRankedTensorSize(type));
    }
  }
}

void CostAnalysis::AnalyzeBlock(mlir::Block* block) {
  for (auto& op : *block) {
    EvaluateCost(&op);
  }
}

void CostAnalysis::EvaluateCost(mlir::Operation* op) {
  if (auto cost_function =