#!/bin/bash -eu # Copyright 2021 Google Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ################################################################################ python3 -m pip install tf-nightly-cpu python3 -m pip install numpy # Rename to avoid the following: https://github.com/tensorflow/tensorflow/issues/40182 mv $SRC/tensorflow/tensorflow $SRC/tensorflow/tensorflow_src # Build fuzzers into $OUT. These could be detected in other ways. for fuzzer in $(find $SRC -name '*_fuzz.py'); do fuzzer_basename=$(basename -s .py $fuzzer) fuzzer_package=${fuzzer_basename}.pkg pyinstaller --distpath $OUT --onefile --name $fuzzer_package $fuzzer cp /usr/local/lib/python3.8/site-packages/numpy.libs/libz-eb09ad1d.so.1.2.3 $OUT cp /usr/local/lib/python3.8/site-packages/numpy.libs/libquadmath-2d0c479f.so.0.0.0 $OUT cp /usr/local/lib/python3.8/site-packages/numpy.libs/libgfortran-2e0d59d6.so.5.0.0 $OUT cp /usr/local/lib/python3.8/site-packages/numpy.libs/libopenblasp-r0-09e95953.3.13.so $OUT echo "#!/bin/sh # LLVMFuzzerTestOneInput for fuzzer detection. this_dir=\$(dirname \"\$0\") LD_PRELOAD=\"\$this_dir/sanitizer_with_fuzzer.so \$this_dir/libz-eb09ad1d.so.1.2.3 \$this_dir/libquadmath-2d0c479f.so.0.0.0 \$this_dir/libgfortran-2e0d59d6.so.5.0.0 \$this_dir/libopenblasp-r0-09e95953.3.13.so\" \ ASAN_OPTIONS=\$ASAN_OPTIONS:symbolize=1:external_symbolizer_path=\$this_dir/llvm-symbolizer:detect_leaks=0 \ \$this_dir/$fuzzer_package \$@" > $OUT/$fuzzer_basename chmod +x $OUT/$fuzzer_basename done mv $SRC/tensorflow/tensorflow_src $SRC/tensorflow/tensorflow