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Pcard-71699
框架支持stride后。发现split性能下降。
在split后调用matmul,假如split 3份,且axis不为0,此时前向需要调用3次contiguous,反向也调用3次contiguous。导致模型性能下降。
通过Python手动调用contiguous。可以将contiguous的次数降为3次。但3个contiguous kernel的性能不及1个split的性能。
在V100上,3个contiguous kernel比1个split慢7%。但在A100上慢87%。
#56866 尝试加速contiguous。但发生CUDA700,应该没有写对。即使写对了,新的写法速度不如原有写法。
暂时让split不走stride。