conda_env.yml

name: conda_env
channels:
  - pytorch
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - blas=1.0=mkl
  - ca-certificates=2019.11.27=0
  - certifi=2019.11.28=py36_0
  - cffi=1.13.2=py36h2e261b9_0
  - cudatoolkit=10.1.243=h6bb024c_0
  - freetype=2.9.1=h8a8886c_1
  - intel-openmp=2019.4=243
  - jpeg=9b=h024ee3a_2
  - ld_impl_linux-64=2.33.1=h53a641e_7
  - libedit=3.1.20181209=hc058e9b_0
  - libffi=3.2.1=hd88cf55_4
  - libgcc-ng=9.1.0=hdf63c60_0
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libpng=1.6.37=hbc83047_0
  - libstdcxx-ng=9.1.0=hdf63c60_0
  - libtiff=4.1.0=h2733197_0
  - mkl=2019.4=243
  - mkl-service=2.3.0=py36he904b0f_0
  - mkl_fft=1.0.15=py36ha843d7b_0
  - mkl_random=1.1.0=py36hd6b4f25_0
  - ncurses=6.1=he6710b0_1
  - ninja=1.9.0=py36hfd86e86_0
  - numpy=1.17.4=py36hc1035e2_0
  - numpy-base=1.17.4=py36hde5b4d6_0
  - olefile=0.46=py36_0
  - openssl=1.1.1d=h7b6447c_3
  - pandas=0.25.3=py36he6710b0_0
  - pip=19.3.1=py36_0
  - pycparser=2.19=py36_0
  - python=3.6.10=h0371630_0
  - python-dateutil=2.8.1=py_0
  - pytorch=1.3.1=py3.6_cuda10.1.243_cudnn7.6.3_0
  - pytz=2019.3=py_0
  - readline=7.0=h7b6447c_5
  - setuptools=44.0.0=py36_0
  - six=1.13.0=py36_0
  - sqlite=3.30.1=h7b6447c_0
  - tk=8.6.8=hbc83047_0
  - torchvision=0.4.2=py36_cu101
  - wheel=0.33.6=py36_0
  - xz=5.2.4=h14c3975_4
  - zlib=1.2.11=h7b6447c_3
  - zstd=1.3.7=h0b5b093_0
  - pip:
    - cycler==0.10.0
    - jinja2==2.10.3
    - joblib==0.14.1
    - kiwisolver==1.1.0
    - markupsafe==1.1.1
    - matplotlib==3.1.2
    - onnx==1.6.0
    - pillow==6.2.2
    - protobuf==3.11.3
    - pyparsing==2.4.6
    - scikit-learn==0.22.1
    - scipy==1.4.1
    - typing-extensions==3.7.4.1
prefix: /home/xxx/anaconda3/envs/conda_env