Preln_Layernorm_Shift_Partition #47099
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你的PR提交成功，感谢你对开源项目的贡献! |
jiweibo
reviewed
Oct 24, 2022
| @@ -112,6 +112,7 @@ const std::vector<std::string> kTRTSubgraphPasses({ | |||
| "layernorm_shift_partition_fuse_pass", // | |||
| "merge_layernorm_fuse_pass", // | |||
| "preln_residual_bias_fuse_pass", // | |||
| "preln_layernorm_x_fuse_pass", // | |||
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这个pass是不是也能放在原生gpu里面，如果把新增的plugin放到phi算子里，通过通用plugin应该也能接进来
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后面 @weishengying 完善后，可以按照新方案接入plugin
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因为目前只有trt算子 所以没有放到原生pass里
jiweibo
previously approved these changes
Oct 24, 2022
XieYunshen
approved these changes
Oct 26, 2022
jiweibo
approved these changes
Oct 26, 2022
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PR types
Performance optimization
PR changes
OPs
Describe
layernorm_shift_partition + element_add融合
在swin模型上有3%的加速效果