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environment.yml
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environment.yml
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name: pytorch-1.4
channels:
- tensorly
- pytorch
- anaconda
- defaults
- conda-forge
dependencies:
- _libgcc_mutex=0.1=main
- blas=1.0=mkl
- ca-certificates=2021.10.8=ha878542_0
- certifi=2021.10.8=py37h89c1867_2
- cudatoolkit=10.1.243=h6bb024c_0
- cycler=0.10.0=py_2
- cython=0.29.24=py37hdbfa776_0
- easydict=1.9=py_0
- freetype=2.10.4=h5ab3b9f_0
- icu=67.1=he1b5a44_0
- intel-openmp=2021.2.0=h06a4308_610
- joblib=0.17.0=py_0
- jpeg=9b=h024ee3a_2
- kiwisolver=1.3.1=py37hc928c03_0
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.33.1=h53a641e_7
- 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=1.9.3=h2531618_0
- matplotlib=3.2.2=1
- matplotlib-base=3.2.2=py37h1d35a4c_1
- mkl=2021.2.0=h06a4308_296
- mkl-service=2.3.0=py37h27cfd23_1
- mkl_fft=1.3.0=py37h42c9631_2
- mkl_random=1.2.1=py37ha9443f7_2
- ncurses=6.2=he6710b0_1
- ninja=1.10.2=hff7bd54_1
- numpy=1.20.1=py37h93e21f0_0
- numpy-base=1.20.1=py37h7d8b39e_0
- olefile=0.46=py37_0
- openssl=1.1.1l=h7f8727e_0
- pillow=8.2.0=py37he98fc37_0
- pip=21.0.1=py37h06a4308_0
- pycocotools=2.0.2=py37h8f50634_1
- pyparsing=2.4.7=pyh9f0ad1d_0
- python=3.7.10=hdb3f193_0
- python-dateutil=2.8.2=pyhd8ed1ab_0
- python_abi=3.7=1_cp37m
- pytorch=1.4.0=py3.7_cuda10.1.243_cudnn7.6.3_0
- pyyaml=5.3.1=py37hb5d75c8_1
- readline=8.1=h27cfd23_0
- scikit-learn=0.23.2=py37h0573a6f_0
- scipy=1.6.2=py37had2a1c9_1
- setuptools=52.0.0=py37h06a4308_0
- six=1.15.0=py37h06a4308_0
- sqlite=3.35.4=hdfb4753_0
- tensorly=0.6.0=py_0
- threadpoolctl=2.1.0=pyh5ca1d4c_0
- tk=8.6.10=hbc83047_0
- torchvision=0.5.0=py37_cu101
- tornado=6.1=py37h4abf009_0
- tqdm=4.60.0=pyhd8ed1ab_0
- wheel=0.36.2=pyhd3eb1b0_0
- xz=5.2.5=h7b6447c_0
- yaml=0.2.5=h7b6447c_0
- zlib=1.2.11=h7b6447c_3
- zstd=1.4.9=haebb681_0
prefix: /home/robert80203/.conda/envs/pytorch-1.4