* Sync the order of type string with template parameter
* Add more instances
* Check the vector size and remove redundant var
* Extract var to static, prepare to separate sweep once kernel
* Separate sweeponce flow and optimize the flow
* 1. Rename AccDatatype in normalization to computeData
2. Rename AccElementwiseOperation to YElementwiseOperation in normalization
* Remove useless code
* Update naive variance kernel
* Refine string
* Fix typo
* Support naive variance for device_normalization
* Check the blocksize
* Share the VGPR of x and y
* Share the VGPR of gamma and beta
* Add more instances
* Support fp16 sqrt for experiment
* Add CHANGELOG
* Fix typo
* clang-format
* Sync the naming
* Sync the test of layernorm with groupnorm
* Sync the naming
* Minor change for comment and log
* [What] Add saveMean and SaveInvVariance in the interface.
[Why] These can optimize the backward
* Add groupnorm example by layernorm
1. Reference is not ready
2. shape of gamma and beta need to be fix
* Let shape of gamma and beta can be same as x
* Modify test, instance and client example
* [What] Fix bug of layernorm for greater than 2 dimension.
[Why] We need to get upper length from merge transform instead of embed transform.
* Add reference for groupnorm
* Fuse sigmoid after groupnorm
* [What] Rename original layernorm into layernorm2d
[Why] Prepare to add groupnorm using layernorm5d
* clang-format
* Add groupnorm test
* Refine error message
* Add groupnorm ckProfiler
* Test groupnorm kernel from device_instance
* update example
* upadte profiler
* Fix test naming
* Fix argc number
* Move descriptor and sweeponce to argument for quick debugging
Co-authored-by: Chao Liu <chao.liu2@amd.com>
