# 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 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: Added backwards compatibility for centos 6 via a new linux-x86\_64-compat classifier enabling use of older glibcs on centos 7: A number of bugs were fixed with LSTM and CUDNN: ### Known issues - avoid shuffle operations on gpu. Pre save data on cpu in mini batches. For more help, please post on the forums at ## ## Deeplearning4j ### Features and Enhancements * Add batch normalization support for RNNs: * Disable old helpers by default * Minor unit test fixes: * Add keras support for cnn 1d NWHC: * Move the warning about version check to tracing so it stops logging this during normal usage confusing users: * Allow 1d convolutions to accept feed forward as input type: * Remove the old benchmark suite and migrate it to contrib: * Remove old MKLDNNLSTM helper (it never fully functioned anyways): ### Bug fixes * Fixed an issue with helper reflection ensuring the classes would be loaded properly * Fix minor workspace activation bug: * Fixed compilation error when running anything more than jdk 8 and NIO buffers: * Move logback to be a test dependency for some modules: * Keras model import fixes for GlobalPooling:\ ## Nd4j ### Features and Enhancements * Add Eigen op as public ensuring easier use when running eigenvalue decomposition ### Bug fixes * Fixes minor issue with choice(..) op thanks to * Minor applyScalar typo fix: ## Datavec ### Features and Enhancements ### Bug fixes Fixed serialization bug with StringToTimeTransform: thanks to community member ## Python4j ### Features and Enhancements * Made python4j's python path setting more robust by migrating from set path calls to add path calls: ### Bug fixes * Fixes bug with numpy import array jvm crashes: ## Samediff ### Features and Enhancements ### Bug fixes Fixed inconsistent conventions between SameDiffVariable getArr and getArrForName()..