* Need to manually install numpy now as it is used in the toolchain
* Handle review
* Remove bazel install since we install bazelisk
* Force symlink python3 -> python
* Refactor build script
* Remove `-stdlib=libc++` as that causes link errors
* Remove `identity_fuzz` as it results in a huge fuzzer. Will work on reducing size and then enable back
* Copy fuzzer to `$OUT`, not move
* Handle coverage support
* Remove dga@google.com as he left Google
* Use python3 as python2 is deprecated
* Need to manually install numpy now as it is used in the toolchain
* Use bazelisk instead of the grep configure -> get Bazel version -> curl hack
* Remove C++11 constraint as TF now builds and uses C++14
* Handle review
* Remove source sed/replace as it is no longer needed
* 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
devtty1er