[PHI] Fix paddle.cumsum calculation speed
#74442
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BlockPrefixCallbackOp paddle.cumsum calculation speed
wanghuancoder
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* fix ThrustCumsumKernel * refine * refine ThrustCumsumKernel * fix * update ThrustCumsumKernel * fix logcumsumexp in ThrustCumsumKernel
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PR Category
Operator Mechanism
PR Types
Performance
Description
修复 #74081 精度修复时，对部分模型造成的性能下降：https://console.cloud.baidu-int.com/devops/icafe/issue/DLTP-92332/show
修复方法为:
ThrustCumsumKernel快速路径ThrustCumsumKernel增加 fp16 与 bf16 类型支持在之前的测试中，错误地判断了 Thrust 库的计算精度；在新的测试中，对于 1D 超大张量的边缘情况（即单个巨型行）， Thrust 库表现完美，而
BlockScanKernel由于grid_size == 1，导致其退化为串行执行，计算速度显著下降以下为 20 万至 20 亿元素个数时，
paddle.cumsumAPI 通过BlockScanKernel分支与ThrustCumsumKernel分支的计算精度（与 torch 相比）与计算速度对比:结果说明，在 1D 张量的情况下， Thrust 库的计算精度与计算速度均显著优于当前的
BlockScanKernel内核实现。当前BlockScanKernel内核实现主要为多行数据设计，其每个 Block 都在并行处理不同的数据行。Pcard-85711