TensorFlow Java 0.4.0

TensorFlow Java is still only available as an alpha release and is not covered by the TensorFlow API stability guarantees

Major Features

• Upgrade to TensorFlow 2.7.0
• Add support for creating and running native function graphs
• Automatic initialization of the variables when running a graph for the first time (no need of tf.init anymore)
• Register custom gradient computations in Java for operations lacking one in the TensorFlow C++ runtime library
• Add new metrics and regularizers to the TensorFlow Java Framework

Other Features

• Operation inputs and attributes accessors
• Allow output targets in Session runner
• Generate operation wrappers in Java, instead of using a custom C++ binary
• Move out Java NdArray to its own repository
• Add graph walking functions to Graph and GraphOperation
• Security updates
• Various bug and memory leak fixes, and other improvements

Thanks to our contributors

Ryan Nett (@rnett)
Karl Lessard (@karllessard)
Samuel Audet (@saudet)
Adam Pocock (@Craigacp)
Jim Clarke (@JimClarke5)
Till Brychcy (@brychcy)
Mark Daoust (@MarkDaoust)
Avi Perl (@aviperl)
P. Oscar Boykin (@johnynek)