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CausalStyleAdv

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CausalStyleAdv
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name: Py3.7_torch1.8
channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
  - conda-forge
  - bioconda
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - asn1crypto=1.2.0=py37_0
  - blas=1.0=mkl
  - bottleneck=1.3.2=py37heb32a55_1
  - bzip2=1.0.8=h7b6447c_0
  - ca-certificates=2021.10.8=ha878542_0
  - cairo=1.14.12=h8948797_3
  - certifi=2021.10.8=py37h89c1867_1
  - cffi=1.13.0=py37h2e261b9_0
  - chardet=3.0.4=py37_1003
  - click=8.0.3=pyhd3eb1b0_0
  - conda-package-handling=1.6.0=py37h7b6447c_0
  - cryptography=2.8=py37h1ba5d50_0
  - ffmpeg=4.0=hcdf2ecd_0
  - fontconfig=2.13.0=h9420a91_0
  - freeglut=3.0.0=hf484d3e_5
  - freetype=2.11.0=h70c0345_0
  - glib=2.63.1=h5a9c865_0
  - graphite2=1.3.14=h23475e2_0
  - h5py=2.8.0=py37h3010b51_1003
  - harfbuzz=1.8.8=hffaf4a1_0
  - hdf5=1.10.2=hba1933b_1
  - icu=58.2=he6710b0_3
  - idna=2.8=py37_0
  - intel-openmp=2021.3.0=h06a4308_3350
  - jasper=2.0.14=hd8c5072_2
  - jpeg=9d=h7f8727e_0
  - libedit=3.1.20181209=hc058e9b_0
  - libffi=3.2.1=hd88cf55_4
  - libgcc-ng=9.1.0=hdf63c60_0
  - libgfortran-ng=7.5.0=ha8ba4b0_17
  - libgfortran4=7.5.0=ha8ba4b0_17
  - libglu=9.0.0=hf484d3e_1
  - libopencv=3.4.2=hb342d67_1
  - libopus=1.3.1=h7b6447c_0
  - libpng=1.6.37=hbc83047_0
  - libprotobuf=3.17.2=h4ff587b_1
  - libstdcxx-ng=9.1.0=hdf63c60_0
  - libtiff=4.1.0=h2733197_0
  - libuuid=1.0.3=h7f8727e_2
  - libvpx=1.7.0=h439df22_0
  - libxcb=1.14=h7b6447c_0
  - libxml2=2.9.9=hea5a465_1
  - mkl=2021.3.0=h06a4308_520
  - mkl-service=2.4.0=py37h7f8727e_0
  - mkl_fft=1.3.1=py37hd3c417c_0
  - mkl_random=1.2.2=py37h51133e4_0
  - ncurses=6.1=he6710b0_1
  - numexpr=2.7.3=py37h22e1b3c_1
  - numpy-base=1.21.2=py37h79a1101_0
  - opencv=3.4.2=py37h6fd60c2_1
  - openssl=1.1.1h=h516909a_0
  - pandas=1.3.3=py37h8c16a72_0
  - pcre=8.45=h295c915_0
  - pip=19.3.1=py37_0
  - pixman=0.40.0=h7f8727e_1
  - protobuf=3.17.2=py37h295c915_0
  - py-opencv=3.4.2=py37hb342d67_1
  - pycosat=0.6.3=py37h14c3975_0
  - pycparser=2.19=py37_0
  - pyopenssl=19.0.0=py37_0
  - pysocks=1.7.1=py37_0
  - python=3.7.4=h265db76_1
  - python-dateutil=2.8.2=pyhd3eb1b0_0
  - python_abi=3.7=2_cp37m
  - pytz=2021.3=pyhd3eb1b0_0
  - readline=7.0=h7b6447c_5
  - requests=2.22.0=py37_0
  - ruamel_yaml=0.15.46=py37h14c3975_0
  - scipy=1.7.1=py37h292c36d_2
  - setuptools=41.4.0=py37_0
  - six=1.12.0=py37_0
  - sqlite=3.30.0=h7b6447c_0
  - tensorboardx=2.2=pyhd3eb1b0_0
  - tk=8.6.8=hbc83047_0
  - tqdm=4.36.1=py_0
  - urllib3=1.24.2=py37_0
  - wheel=0.33.6=py37_0
  - xz=5.2.4=h14c3975_4
  - yaml=0.1.7=had09818_2
  - zlib=1.2.11=h7b6447c_3
  - zstd=1.3.7=h0b5b093_0
  - pip:
    - absl-py==1.0.0
    - cachetools==4.2.4
    - conda-pack==0.6.0
    - google-auth==2.3.3
    - google-auth-oauthlib==0.4.6
    - grpcio==1.42.0
    - importlib-metadata==4.8.2
    - markdown==3.3.6
    - numpy==1.21.3
    - oauthlib==3.1.1
    - pillow==8.4.0
    - pyasn1==0.4.8
    - pyasn1-modules==0.2.8
    - requests-oauthlib==1.3.0
    - rsa==4.8
    - tensorboard==2.7.0
    - tensorboard-data-server==0.6.1
    - tensorboard-plugin-wit==1.8.0
    - torch==1.8.1+cu111
    - torchvision==0.9.1+cu111
    - typing-extensions==3.10.0.2
    - werkzeug==2.0.2
    - zipp==3.6.0
prefix: /home/chenjin/miniconda3/envs/Py3.7_torch1.8