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MindSpore Recommender Release Notes

MindSpore Recommender 0.3.0 Release Notes

Bug Fixes

  • Fixed the issue that cache eviction process occasionally appeared core dump on Embedding Cache mode.
  • Fixed occasional degradation of data processing performance due to resource competition in single-node 8-card GPU environment training Wide&Deep network.

Contributors

Thanks goes to these wonderful people: lanbingliang，lizhenyu，zhoupeichen. Contributions of any kind are welcome!

MindSpore Recommender 0.2.0 Release Notes

Major Features and Improvements

  • Support dynamic Embedding and real-time feature addition and deletion to realize dynamic feature admission and eviction as well as incremental recommendation models import and export.
  • Support recommended model online learning and realize minute-level end-to-end incremental training + model update.
  • Support HBM-DRAM-SSD multilevel distributed feature cache and realize TB-level recommendation models training.

API Changed

  • Add API mindspore_rec.RecModel
  • Add API mindspore_rec.HashEmbeddingLookup

Bug Fixes

  • Fix the put operation stuck after multiple put and erase operations on MapParameter.

Contributors

Thanks goes to these wonderful people: hewei, chengang, lizhenyu, wangrui, zhoupeichen, gaoyong, hangangqiang, xupan, zhangxiaohan. Contributions of any kind are welcome!