1.0.0-M1.1

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EN 1.0.0-M1.1

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/9368​https://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/
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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​
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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​
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Samediff
Features and Enhancements
Bug fixes
Fixed inconsistent conventions between SameDiffVariable getArr and getArrForName().. https://github.com/eclipse/deeplearning4j/pull/9357​