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Deep Java Library (DJL) v0.6.0 Release Notes

Release Date: 2020-06-25 // almost 4 years ago

  • 👍 DJL 0.6.0 brings stable Android support, ONNX Runtime experimental inference support, experimental training support for PyTorch.

    Key Features

    • 👍 Stable Android inference support for PyTorch models
      • Provide abstraction for Image processing using ImageFactory
    • 👍 Experimental support for inference on ONNX models
    • 🎉 Initial experimental training and imperative inference support for PyTorch engine
    • 👍 Experimental support for using multi-engine
    • 👌 Improved usage for NDIndex - support for ellipsis notation, arguments
    • 👌 Improvements to AbstractBlock to simplify custom block creation
    • ➕ Added new datasets

    📚 Documentation and examples

    💥 Breaking changes

    • 🔧 ModelZoo Configuration changes
    • ImageFactory changes
    • ✅ Please refer to javadocs for minor API changes

    Known issues

    • Issue with training with MXNet in multi-gpu instances