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:
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
- 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​
- 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​
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​
Last modified 3mo ago