Remove vectorized for those data type with size greater or euqal to double and reorganize the codes to decrease the size of the static library. #57064
+284
−220
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
PR types
Others
PR changes
OPs
Description
Pcard-70459
ElementwiseKernel
和BroadcastKernel
中使用了向量化技术,优化显存访问吞吐。如采用vec_size=4,float性能可提升约5%,float16性能可提升约30%,但是对于double等64位以上的数据类型,则没有明显的性能提升。故本PR避免对64位以上数据类型做向量化,减少编译静态库的体积。单个Ampere架构API-Benchmark Fail应与本PR无关,在https://xly.bce.baidu.com/paddlepaddle/paddle/newipipe/detail/9126824/job/23820104 也观察到呈现同样的现象。