Like some others I am in need to get Tensorflow-java running on an M1 based machine, certainly now that Apple has released a Tensorflow distribution for M1

[I know there is https://github.com//issues/252 but I want to revive the discussion after Apple's recent efforts]

Before even to attempt doing this I was wondering of any of the underlying strategies do make sense, or alternatively, do work

1. Compile from source, target arm64 arch, using arm64 tools (e.g Bazel), run java.jar using a arm64 JVM like Zulu 8.58.0.13-CA-macos-aarch64

[This one fails based on the current HEAD. (java.lang.NoSuchMethodError: 'java.lang.Iterable com.sun.tools.javac.code.Scope$WriteableScope.getSymbolsByName(com.sun.tools.javac.util.Name, com.sun.tools.javac.util.Filter)'). It does not even gets to the TF native build phase]

2. Compile from source using x86 tools (e.g. in a "arch -x86_64 zsh" shell), taking into account specific guidelines e.g. remove usage of specific instruction sets. Consequently, run the java.jar using a x86 JVM, e.g. thus under Rossetta

3. Any other angle to look at the problem ?

[For that matter, how to leverage other ML frameworks on M1, e.g deeplearning4j ?]