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DJL v0.4.1 release notes
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@roywei roywei released this 06 Apr 21:38
· 2890 commits to master since this release
v0.4.1
28f7cf9

DJL 0.4.1 release includes an important performance Improvement on MXNet engine:

Performance Improvement:

  • Cached MXNet features. This will avoid MxNDManager.newSubManager() to repeatedly calling getFeature() which will make JNA calls to native code.

Known Issues:

Same as v0.4.0 release:

  • PyTorch engine doesn't fully support multithreaded inference. You may see random crashes. Single-threaded inference is not impacted. We expect to fix this issue in a future release.
  • We saw random crash on mac for “transfer Learning on CIFAR-10 Dataset” example on Jupyter Notebook. Command line all works.
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