/
env.yml
78 lines (76 loc) · 1.95 KB
/
env.yml
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name: stem
channels:
- pytorch
- anaconda
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- blas=1.0=mkl
- ca-certificates=2020.7.22=0
- certifi=2020.6.20=py36_0
- cudatoolkit=10.2.89=hfd86e86_1
- freetype=2.10.3=h5ab3b9f_0
- intel-openmp=2020.1=217
- joblib=0.16.0=py_0
- jpeg=9b=h024ee3a_2
- lcms2=2.11=h396b838_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=hbc83047_0
- libstdcxx-ng=9.1.0=hdf63c60_0
- libtiff=4.1.0=h2733197_1
- lz4-c=1.9.2=heb0550a_3
- mkl=2019.4=243
- mkl-service=2.3.0=py36he904b0f_0
- mkl_fft=1.1.0=py36h23d657b_0
- mkl_random=1.1.0=py36hd6b4f25_0
- ncurses=6.2=he6710b0_1
- ninja=1.10.1=py36hfd86e86_0
- numpy-base=1.18.5=py36hde5b4d6_0
- olefile=0.46=py_0
- openssl=1.1.1h=h7b6447c_0
- pillow=7.2.0=py36hb39fc2d_0
- pip=20.1.1=py36_1
- python=3.6.10=h7579374_2
- pytorch=1.6.0=py3.6_cuda10.2.89_cudnn7.6.5_0
- readline=8.0=h7b6447c_0
- scikit-learn=0.23.2=py36h0573a6f_0
- scipy=1.5.0=py36h0b6359f_0
- six=1.15.0=py_0
- sqlite=3.32.3=h62c20be_0
- threadpoolctl=2.1.0=pyh5ca1d4c_0
- tk=8.6.10=hbc83047_0
- torchvision=0.7.0=py36_cu102
- wheel=0.34.2=py36_0
- xz=5.2.5=h7b6447c_0
- zlib=1.2.11=h7b6447c_3
- zstd=1.4.5=h9ceee32_0
- pip:
- absl-py==0.9.0
- astor==0.8.1
- gast==0.3.3
- google-pasta==0.2.0
- grpcio==1.30.0
- h5py==2.10.0
- importlib-metadata==1.7.0
- keras==2.2.5
- keras-applications==1.0.8
- keras-preprocessing==1.1.2
- markdown==3.2.2
- numpy==1.19.0
- opencv-python==3.4.0.12
- protobuf==3.12.2
- pyyaml==5.3.1
- setuptools==39.1.0
- tensorbayes==0.4.0
- tensorboard==1.9.0
- tensorflow-estimator==1.14.0
- tensorflow-gpu==1.9.0
- termcolor==1.1.0
- werkzeug==1.0.1
- wrapt==1.12.1
- zipp==3.1.0
prefix: /opt/conda/envs/stem