* Determine Bazel version from configure.py script
* Install Bazel at the version from configure.py
* Don't downgrade Bazel on Dockerfile
* Make sure we were able to install proper Bazel
* Comment update
* Integrate tensorflow with OSSfuzz
* Don't install already installed dependencies
* Add environment variable to disable logging.
Some fuzzers are outputting too much information due to logging and
that's not ok when fuzzing. Use TF_CPP_MIN_LOG_LEVEL envvar to disable
printing of the log messages.
* Remove the environment variable as it is not used at runtime and we have a workaround in the pipeline
* Workaround bazel bug (bazelbuild/bazel#6697)
* Don't compile with -O2, instead remove line causing bazel bug
* Downgrade Bazel to use the last version that TF supports
* Speed-up building by building fuzzers in parallel
* Add corpora and dictionaries
Mihai Maruseac