environment.yml

name: torch_env
channels:
  - anaconda
  - conda-forge
  - defaults
dependencies:
  - _pytorch_select=0.2=gpu_0
  - blas=1.0=mkl
  - ca-certificates=2020.6.20=hecda079_0
  - certifi=2020.6.20=py37hc8dfbb8_0
  - cffi=1.14.0=py37he30daa8_1
  - cudatoolkit=10.0.130=0
  - cudnn=7.6.5=cuda10.0_0
  - cycler=0.10.0=py_2
  - freetype=2.10.2=he06d7ca_0
  - icu=67.1=he1b5a44_0
  - intel-openmp=2020.1=217
  - joblib=0.16.0=py_0
  - kiwisolver=1.2.0=py37h99015e2_0
  - ld_impl_linux-64=2.33.1=h53a641e_7
  - libedit=3.1.20191231=h14c3975_1
  - libffi=3.3=he6710b0_2
  - libgcc-ng=9.1.0=hdf63c60_0
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libpng=1.6.37=hed695b0_1
  - libstdcxx-ng=9.1.0=hdf63c60_0
  - matplotlib=3.2.2=1
  - matplotlib-base=3.2.2=py37h1d35a4c_1
  - mkl=2019.4=243
  - mkl-service=2.3.0=py37he904b0f_0
  - mkl_fft=1.1.0=py37h23d657b_0
  - mkl_random=1.1.0=py37hd6b4f25_0
  - ncurses=6.2=he6710b0_1
  - ninja=1.9.0=py37hfd86e86_0
  - numpy=1.18.5=py37ha1c710e_0
  - numpy-base=1.18.5=py37hde5b4d6_0
  - openssl=1.1.1g=h516909a_0
  - pandas=1.0.5=py37h0573a6f_0
  - pip=20.1.1=py37_1
  - pycparser=2.20=py_2
  - pyparsing=2.4.7=pyh9f0ad1d_0
  - python=3.7.7=hcff3b4d_5
  - python-dateutil=2.8.1=py_0
  - python_abi=3.7=1_cp37m
  - pytorch=1.3.1=cuda100py37h53c1284_0
  - pytorch-gpu=1.3.1=0
  - pytz=2020.1=py_0
  - readline=8.0=h7b6447c_0
  - scikit-learn=0.23.1=py37h423224d_0
  - scipy=1.5.0=py37h0b6359f_0
  - setuptools=49.1.0=py37_0
  - six=1.15.0=py_0
  - sqlite=3.32.3=h62c20be_0
  - tensorly=0.4.5=py_0
  - threadpoolctl=2.1.0=pyh5ca1d4c_0
  - tk=8.6.10=hbc83047_0
  - tornado=6.0.4=py37h8f50634_1
  - tqdm=4.47.0=pyh9f0ad1d_0
  - wheel=0.34.2=py37_0
  - xz=5.2.5=h7b6447c_0
  - zlib=1.2.11=h7b6447c_3
  - pip:
    - numexpr==2.7.1
    - tables==3.6.1
    - torchsummary==1.5.1