Wrap C++ logging using Java logging framework

System information

• TensorFlow version (you are using): 0.3.1
• Are you willing to contribute it (Yes/No): No

By default, TensorFlow's C++ libraries log messages like this:

2021-03-29 15:50:24.014316: W external/org_tensorflow/tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2021-03-29 15:50:24.014340: I external/org_tensorflow/tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.

Ignoring the contents of the logs for a minute (I know how to resolve this warning) I would like to redirect all logging output from the C++ library into a java logging framework (such as slf4j) so that I can control the logging level, redirect logs to a file, specify a rollover policy (e.g. truncate logs at the end of every day) and so on.

The issue names no files, tests, or entry points. Start by tracing the Java-to-C++ logging boundary and identifying how native messages currently reach users. Done means C++ library logs can be routed through a Java logging framework with controllable levels, file output, and rollover behavior.