# 融合算子的实现原理
class FusedOperatorImplementation:
    def __init__(self):
        self.fusion_strategies = {
            'memory_fusion': self._memory_fusion_strategy,
            'computation_fusion': self._computation_fusion_strategy,
            'kernel_fusion': self._kernel_fusion_strategy
        }
    
    def _memory_fusion_strategy(self, operators):
        """内存融合策略"""
        # 1. 分析内存访问模式
        memory_patterns = self._analyze_memory_patterns(operators)
        
        # 2. 优化内存访问
        optimized_access = self._optimize_memory_access(memory_patterns)
        
        # 3. 创建融合kernel
        fused_kernel = self._create_fused_kernel(operators, optimized_access)
        
        return fused_kernel
    
    def _computation_fusion_strategy(self, operators):
        """计算融合策略"""
        # 1. 分析计算依赖
        dependencies = self._analyze_computation_dependencies(operators)
        
        # 2. 优化计算顺序
        optimized_order = self._optimize_computation_order(dependencies)
        
        # 3. 创建融合计算
        fused_computation = self._create_fused_computation(operators, optimized_order)
        
        return fused_computation
    
    def _kernel_fusion_strategy(self, operators):
        """核融合策略"""
        # 1. 分析kernel特性
        kernel_properties = self._analyze_kernel_properties(operators)
        
        # 2. 优化kernel设计
        optimized_kernel = self._optimize_kernel_design(kernel_properties)
        
        # 3. 创建融合kernel
        fused_kernel = self._create_fused_kernel(operators, optimized_kernel)
        
        return fused_kernel