1.0.0-M1.1

Highlights

A number of bug fixes following the M1 release, thanks to the feedback from the community, allowed us to quickly sort out a few issues. This is a minor bug fix release to address short comings found with M1. Most fixes were related to keras import, the cnn/rnn helpers, and python4j.

Snapshots will also be published every 2 days automatically now https://github.com/eclipse/deeplearning4j/pull/9355 to get around sonatype ossrh deletion of snapshots every 3 days. This should increase robustness of the snapshots.

Worked around an issue with github actions pre emptively upgrading visual studio breaking the cuda builds: https://github.com/eclipse/deeplearning4j/pull/9364

Added backwards compatibility for centos 6 via a new linux-x86_64-compat classifier enabling use of older glibcs on centos 7:

https://github.com/eclipse/deeplearning4j/pull/9368 https://github.com/eclipse/deeplearning4j/pull/9368https://github.com/eclipse/deeplearning4j/pull/9373

A number of bugs were fixed with LSTM and CUDNN: https://github.com/eclipse/deeplearning4j/pull/9372

Known issues

https://github.com/eclipse/deeplearning4j/issues/9142 - avoid shuffle operations on gpu. Pre save data on cpu in mini batches. For more help, please post on the forums at https://community.konduit.ai/

Deeplearning4j

Features and Enhancements

• Add batch normalization support for RNNs: https://github.com/eclipse/deeplearning4j/pull/9338

• Disable old helpers by default https://github.com/eclipse/deeplearning4j/pull/9343

• Minor unit test fixes: https://github.com/eclipse/deeplearning4j/pull/9346

• Add keras support for cnn 1d NWHC: https://github.com/eclipse/deeplearning4j/pull/9353

• Move the warning about version check to tracing so it stops logging this during normal usage confusing users: https://github.com/eclipse/deeplearning4j/pull/9356

• Allow 1d convolutions to accept feed forward as input type: https://github.com/eclipse/deeplearning4j/pull/9365

• Remove the old benchmark suite and migrate it to contrib: https://github.com/eclipse/deeplearning4j/pull/9374

• Remove old MKLDNNLSTM helper (it never fully functioned anyways): https://github.com/eclipse/deeplearning4j/pull/9381

Bug fixes

• Fixed an issue with helper reflection ensuring the classes would be loaded properly https://github.com/eclipse/deeplearning4j/pull/9333 https://github.com/eclipse/deeplearning4j/pull/9350

• Fix minor workspace activation bug: https://github.com/eclipse/deeplearning4j/pull/9341

• Fixed compilation error when running anything more than jdk 8 and NIO buffers: https://github.com/eclipse/deeplearning4j/pull/9351

• Move logback to be a test dependency for some modules: https://github.com/eclipse/deeplearning4j/pull/9362

• Keras model import fixes for GlobalPooling: https://github.com/eclipse/deeplearning4j/pull/9378 https://github.com/eclipse/deeplearning4j/pull/9384

Nd4j

Features and Enhancements

• Add Eigen op as public ensuring easier use when running eigenvalue decomposition https://github.com/eclipse/deeplearning4j/pull/9328

Bug fixes

• Fixes minor issue with choice(..) op https://github.com/eclipse/deeplearning4j/pull/9360 thanks to https://github.com/Romira915

• Minor applyScalar typo fix: https://github.com/eclipse/deeplearning4j/pull/9385

Datavec

Features and Enhancements

Bug fixes

Fixed serialization bug with StringToTimeTransform: https://github.com/eclipse/deeplearning4j/pull/9377 thanks to community member https://github.com/yumg

Python4j

Features and Enhancements

• Made python4j's python path setting more robust by migrating from set path calls to add path calls: https://github.com/eclipse/deeplearning4j/pull/9386

Bug fixes

• Fixes bug with numpy import array jvm crashes: https://github.com/eclipse/deeplearning4j/pull/9348

Samediff

Features and Enhancements

Bug fixes

Fixed inconsistent conventions between SameDiffVariable getArr and getArrForName().. https://github.com/eclipse/deeplearning4j/pull/9357