> For the complete documentation index, see [llms.txt](https://deeplearning4j.konduit.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://deeplearning4j.konduit.ai/en-1.0.0-rewrite/release-notes/1.0.0-m1.1.md). # 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().. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://deeplearning4j.konduit.ai/en-1.0.0-rewrite/release-notes/1.0.0-m1.1.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.