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6. Session Information
WangLabTHU edited this page Oct 16, 2023
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hcwang and qxdu edited on Aug 4, 2023, 1 version
Although we have provided effective installation steps, you may encounter situations that we did not anticipate. In this case, you might want to refer to our proven effective working environment.
Here is the output of conda env export > freeze.yml
on our own system:
name: pytorch2
channels:
- pytorch
- nvidia
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=1_llvm
- blas=1.0=mkl
- bzip2=1.0.8=h7f98852_4
- ca-certificates=2021.5.30=ha878542_0
- certifi=2021.5.30=py39hf3d152e_0
- cudatoolkit=11.1.74=h6bb024c_0
- ffmpeg=4.3=hf484d3e_0
- freetype=2.10.4=h0708190_1
- gmp=6.2.1=h58526e2_0
- gnutls=3.6.13=h85f3911_1
- jpeg=9b=h024ee3a_2
- lame=3.100=h7f98852_1001
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.36.1=hea4e1c9_2
- libffi=3.3=h58526e2_2
- libgcc-ng=11.1.0=hc902ee8_4
- libiconv=1.16=h516909a_0
- libpng=1.6.37=h21135ba_2
- libstdcxx-ng=11.1.0=h56837e0_4
- libtiff=4.2.0=h85742a9_0
- libuv=1.42.0=h7f98852_0
- libwebp-base=1.2.0=h7f98852_2
- llvm-openmp=12.0.1=h4bd325d_1
- lz4-c=1.9.3=h9c3ff4c_0
- mkl=2021.3.0=h726a3e6_557
- mkl-service=2.4.0=py39h3811e60_0
- mkl_fft=1.3.0=py39h42c9631_2
- mkl_random=1.2.2=py39hde0f152_0
- ncurses=6.2=h58526e2_4
- nettle=3.6=he412f7d_0
- ninja=1.10.2=h4bd325d_0
- numpy=1.20.3=py39hf144106_0
- numpy-base=1.20.3=py39h74d4b33_0
- olefile=0.46=pyh9f0ad1d_1
- openh264=2.1.1=h780b84a_0
- openjpeg=2.4.0=hb52868f_1
- openssl=1.1.1k=h7f98852_0
- pillow=8.3.1=py39h2c7a002_0
- pip=21.2.1=pyhd8ed1ab_0
- python=3.9.6=h49503c6_1_cpython
- python_abi=3.9=2_cp39
- pytorch=1.9.0=py3.9_cuda11.1_cudnn8.0.5_0
- readline=8.1=h46c0cb4_0
- setuptools=49.6.0=py39hf3d152e_3
- six=1.16.0=pyh6c4a22f_0
- sqlite=3.36.0=h9cd32fc_0
- tbb=2021.3.0=h4bd325d_0
- tk=8.6.10=h21135ba_1
- torchaudio=0.9.0=py39
- torchvision=0.10.0=py39_cu111
- typing_extensions=3.10.0.0=pyha770c72_0
- tzdata=2021a=he74cb21_1
- wheel=0.36.2=pyhd3deb0d_0
- xz=5.2.5=h516909a_1
- zlib=1.2.11=h516909a_1010
- zstd=1.4.9=ha95c52a_0
- pip:
- absl-py==1.3.0
- appdirs==1.4.4
- axial-positional-embedding==0.2.1
- biopython==1.81
- cachetools==5.2.0
- cffi==1.15.1
- charset-normalizer==2.1.1
- click==8.1.3
- cmake==3.27.1
- cycler==0.11.0
- cython==3.0.0
- dill==0.3.7
- docker-pycreds==0.4.0
- einops==0.6.1
- fonttools==4.28.1
- gitdb==4.0.10
- gitpython==3.1.31
- google-auth==2.13.0
- google-auth-oauthlib==0.4.6
- grpcio==1.50.0
- h5py==3.7.0
- idna==3.4
- importlib-metadata==5.0.0
- joblib==1.1.0
- kiwisolver==1.3.2
- levenshtein==0.21.1
- linear-attention-transformer==0.19.1
- linformer==0.2.1
- llvmlite==0.39.1
- local-attention==1.8.6
- logomaker==0.8
- markdown==3.4.1
- markupsafe==2.1.1
- matplotlib==3.5.0
- numba==0.56.4
- oauthlib==3.2.2
- opencv-python==4.5.3.56
- packaging==21.3
- pandas==1.3.4
- pathtools==0.1.2
- patsy==0.5.3
- prettytable==3.7.0
- product-key-memory==0.1.10
- protobuf==3.19.6
- psutil==5.9.5
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- pycparser==2.21
- pyfaidx==0.7.1
- pyparsing==3.0.6
- python-dateutil==2.8.2
- pytz==2021.3
- pyyaml==6.0
- rapidfuzz==3.2.0
- requests==2.28.1
- requests-oauthlib==1.3.1
- rsa==4.9
- scikit-learn==1.0.1
- scipy==1.7.2
- seaborn==0.12.2
- sentry-sdk==1.25.0
- setproctitle==1.3.2
- setuptools-scm==6.3.2
- sklearn==0.0
- smmap==5.0.0
- statsmodels==0.14.0
- tensorboard==2.10.1
- tensorboard-data-server==0.6.1
- tensorboard-plugin-wit==1.8.1
- threadpoolctl==3.0.0
- tomli==1.2.2
- tqdm==4.62.3
- urllib3==1.26.12
- wandb==0.15.4
- wcwidth==0.2.6
- werkzeug==2.2.2
- zipp==3.9.0
prefix: /home/qxdu/anaconda3/envs/pytorch2