6. Session Information

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