Environemnt to run Titanfuzz on TensorFlow-2.4.0 and PyTorch-1.8.0

gistfile1.txt

# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_libgcc_mutex=0.1=main
_openmp_mutex=5.1=1_gnu
absl-py=0.15.0=pypi_0
astunparse=1.6.3=pypi_0
ca-certificates=2023.7.22=hbcca054_0
cachetools=5.3.1=pypi_0
certifi=2023.7.22=pyhd8ed1ab_0
charset-normalizer=3.2.0=pypi_0
cudatoolkit=11.0.221=h6bb024c_0
cudnn=8.0.4=cuda11.0_0
dataclasses=0.6=pypi_0
filelock=3.12.2=pypi_0
flatbuffers=1.12=pypi_0
fsspec=2023.1.0=pypi_0
future=0.18.3=pypi_0
gast=0.3.3=pypi_0
google-auth=2.22.0=pypi_0
google-auth-oauthlib=0.4.6=pypi_0
google-pasta=0.2.0=pypi_0
grpcio=1.32.0=pypi_0
h5py=2.10.0=pypi_0
huggingface-hub=0.16.4=pypi_0
idna=3.4=pypi_0
importlib-metadata=6.7.0=pypi_0
keras-preprocessing=1.1.2=pypi_0
ld_impl_linux-64=2.38=h1181459_1
libffi=3.4.4=h6a678d5_0
libgcc-ng=11.2.0=h1234567_1
libgomp=11.2.0=h1234567_1
libstdcxx-ng=11.2.0=h1234567_1
markdown=3.4.4=pypi_0
markupsafe=2.1.3=pypi_0
ncurses=6.4=h6a678d5_0
numpy=1.19.5=pypi_0
nvidia-cublas-cu11=11.11.3.6=pypi_0
nvidia-cudnn-cu11=8.6.0.163=pypi_0
oauthlib=3.2.2=pypi_0
openssl=1.1.1v=h7f8727e_0
opt-einsum=3.3.0=pypi_0
packaging=23.1=pypi_0
pillow=9.5.0=pypi_0
pip=22.3.1=py37h06a4308_0
protobuf=3.20.3=pypi_0
pyasn1=0.5.0=pypi_0
pyasn1-modules=0.3.0=pypi_0
python=3.7.16=h7a1cb2a_0
pyyaml=6.0.1=pypi_0
readline=8.2=h5eee18b_0
regex=2023.8.8=pypi_0
requests=2.31.0=pypi_0
requests-oauthlib=1.3.1=pypi_0
rsa=4.9=pypi_0
safetensors=0.3.3=pypi_0
setuptools=65.6.3=py37h06a4308_0
six=1.15.0=pypi_0
sqlite=3.41.2=h5eee18b_0
tensorboard=2.11.2=pypi_0
tensorboard-data-server=0.6.1=pypi_0
tensorboard-plugin-wit=1.8.1=pypi_0
tensorflow=2.4.0=pypi_0
tensorflow-estimator=2.4.0=pypi_0
termcolor=1.1.0=pypi_0
tk=8.6.12=h1ccaba5_0
tokenizers=0.13.3=pypi_0
torch=1.8.0+cu111=pypi_0
torchaudio=0.8.0=pypi_0
torchvision=0.9.0+cu111=pypi_0
tqdm=4.66.1=pypi_0
transformers=4.30.2=pypi_0
typing-extensions=3.7.4.3=pypi_0
urllib3=1.26.16=pypi_0
werkzeug=2.2.3=pypi_0
wheel=0.38.4=py37h06a4308_0
wrapt=1.12.1=pypi_0
xz=5.4.2=h5eee18b_0
zipp=3.15.0=pypi_0
zlib=1.2.13=h5eee18b_0

To install pytorch, use the following command:

conda install cudatoolkit=10.1 cudnn=7.6 -c nvidia
pip install torch==1.8.0+cu111 torchvision==0.9.0+cu111 torchaudio==0.8.0 -f https://download.pytorch.org/whl/torch_stable.html