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
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/
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
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
Add Eigen op as public ensuring easier use when running eigenvalue decomposition https://github.com/eclipse/deeplearning4j/pull/9328
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
Fixed serialization bug with StringToTimeTransform: https://github.com/eclipse/deeplearning4j/pull/9377 thanks to community member https://github.com/yumg
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
Fixes bug with numpy import array jvm crashes: https://github.com/eclipse/deeplearning4j/pull/9348
Fixed inconsistent conventions between SameDiffVariable getArr and getArrForName().. https://github.com/eclipse/deeplearning4j/pull/9357