1.0.0-M2
Adds proper support for java 9 modules:
https://github.com/eclipse/deeplearning4j/pull/9631
https://github.com/eclipse/deeplearning4j/pull/9626
As part of the same work flatbuffers has been upgraded to 1.12.1. This affects the samediff file format and the user interfaces. Flatbuffers as a file format is forwards and backwards compatible but if you have any issues please do let us know. The relevant files have been updated using the flatc compiler.
Removed rl4j: in continuing to cut unmaintained modules, the 1.0 will focus the framework on a few key use cases. This invites other folks to build external modules for a tightly maintained core that focuses on deployment, framework interop and training models in java.
Added new model zoo module called omnihub for dl4j and new samediff models. These can be found here: https://github.com/KonduitAI/omnihub-zoo See more in the new omnihub section.
Migrated the snapshots to sonatype's new repository https://s01.oss.sonatype.org. More context can be found here: https://twitter.com/Brian_Fox/status/1357414532512104448
https://github.com/eclipse/deeplearning4j/pull/9618
Consolidated tests to platform-tests to allow for easy testing of behavior against different backends.
Adds proper support for jetson nano with curated binaries and an updated cuda 10.2
Reduce binary size using selective compilation: https://github.com/eclipse/deeplearning4j/pull/9443
https://github.com/eclipse/deeplearning4j/pull/9451
Remove scala 11 support. Only supporting scala 2.12: https://github.com/eclipse/deeplearning4j/pull/9440
Extensive enhancements for samediff model training: https://github.com/eclipse/deeplearning4j/pull/9501
- 1.Add beginnings of graph optimization framework: https://github.com/eclipse/deeplearning4j/pull/9402
- 2.Many onnx model import improvements (add new ops): https://github.com/eclipse/deeplearning4j/pull/9411 https://github.com/eclipse/deeplearning4j/pull/9489https://github.com/eclipse/deeplearning4j/pull/9475 https://github.com/eclipse/deeplearning4j/pull/9526 https://github.com/eclipse/deeplearning4j/pull/9502https://github.com/eclipse/deeplearning4j/pull/9587 https://github.com/eclipse/deeplearning4j/pull/9599
- 3.Add new op subset frameworks: allows selective inclusion of operations to enable users to reduce binary size: https://github.com/eclipse/deeplearning4j/pull/9443 https://github.com/eclipse/deeplearning4j/pull/9451 https://github.com/eclipse/deeplearning4j/pull/9569
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- 6.Enhance codegen exposing more functions for samediff: https://github.com/eclipse/deeplearning4j/pull/9478 https://github.com/eclipse/deeplearning4j/pull/9503 https://github.com/eclipse/deeplearning4j/pull/9500
- 7.Add new samediff eager mode (mainly used for model import use cases): https://github.com/eclipse/deeplearning4j/pull/9538 https://github.com/eclipse/deeplearning4j/pull/9535 https://github.com/eclipse/deeplearning4j/pull/9533
- 8.
- 1.Update samediff api to allow dimensions as variables
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- 4.ImageResize updates to improve compatibility with onnx: https://github.com/eclipse/deeplearning4j/pull/9495
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- 3.Add full channels last support for 3d convolutions: https://github.com/eclipse/deeplearning4j/pull/9578
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- 1.Add LabelsSource to BagOfWordsVectorizer (thanks to XAI!): https://github.com/eclipse/deeplearning4j/pull/9624
- 2.Performance enhancement for mnist related datasetiterators: https://github.com/eclipse/deeplearning4j/pull/9612
- 1.
Launches new Omnihub module. Allows access to models from: https://github.com/KonduitAI/omnihub-zoo
A pretrained omnihub module will provide access to pretrained samediff and dl4j modules. This will also supplant the old dl4j zoo.
Modules will be made available from a Pretrained class:https://github.com/eclipse/deeplearning4j/blob/feb8eee5eb07239c49a4d14786114dc0394aad4e/omnihub/src/main/java/org/eclipse/deeplearning4j/omnihub/models/Pretrained.java#L30
Clean up tests/consolidate tests to platform-tests
Last modified 9mo ago