Deep Java Library (DJL) v0.4.1 Release Notes

Release Date: 2020-04-06 // almost 4 years ago
  • 🚀 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.