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SiSTA.yml
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name: SiSTA
channels:
- pytorch
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- blas=1.0=mkl
- ca-certificates=2022.10.11=h06a4308_0
- certifi=2022.12.7=py37h06a4308_0
- cudatoolkit=11.0.221=h6bb024c_0
- flit-core=3.6.0=pyhd3eb1b0_0
- freetype=2.12.1=h4a9f257_0
- giflib=5.2.1=h7b6447c_0
- intel-openmp=2021.4.0=h06a4308_3561
- jpeg=9b=h024ee3a_2
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.2=h6a678d5_6
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libpng=1.6.37=hbc83047_0
- libstdcxx-ng=11.2.0=h1234567_1
- libtiff=4.2.0=h85742a9_0
- libuv=1.40.0=h7b6447c_0
- libwebp=1.2.0=h89dd481_0
- libwebp-base=1.2.0=h27cfd23_0
- lz4-c=1.9.4=h6a678d5_0
- mkl=2021.4.0=h06a4308_640
- mkl-service=2.4.0=py37h7f8727e_0
- mkl_fft=1.3.1=py37hd3c417c_0
- mkl_random=1.2.2=py37h51133e4_0
- ncurses=6.3=h5eee18b_3
- ninja-base=1.10.2=hd09550d_5
- numpy=1.21.5=py37h6c91a56_3
- numpy-base=1.21.5=py37ha15fc14_3
- openssl=1.1.1s=h7f8727e_0
- pillow=9.3.0=py37hace64e9_1
- pip=22.3.1=py37h06a4308_0
- python=3.7.15=h7a1cb2a_1
- pytorch=1.7.1=py3.7_cuda11.0.221_cudnn8.0.5_0
- readline=8.2=h5eee18b_0
- setuptools=65.6.3=py37h06a4308_0
- six=1.16.0=pyhd3eb1b0_1
- sqlite=3.40.1=h5082296_0
- tk=8.6.12=h1ccaba5_0
- torchaudio=0.7.2=py37
- torchvision=0.8.2=py37_cu110
- typing_extensions=4.4.0=py37h06a4308_0
- wheel=0.37.1=pyhd3eb1b0_0
- xz=5.2.8=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- zstd=1.4.9=haebb681_0
- pip:
- absl-py==1.4.0
- astor==0.8.1
- charset-normalizer==3.0.1
- click==8.1.3
- cycler==0.11.0
- dnnlib==0.0.1
- fonttools==4.38.0
- gast==0.2.2
- google-pasta==0.2.0
- grpcio==1.51.1
- h5py==3.7.0
- idna==3.4
- imageio==2.25.0
- imageio-ffmpeg==0.4.3
- importlib-metadata==6.0.0
- keras-applications==1.0.8
- keras-preprocessing==1.1.2
- kiwisolver==1.4.4
- markdown==3.4.1
- markupsafe==2.1.2
- matplotlib==3.5.3
- ninja==1.11.1
- opencv-python==4.7.0.68
- opt-einsum==3.3.0
- packaging==23.0
- protobuf==3.20.3
- psutil==5.9.4
- pyparsing==3.0.9
- pyspng==0.1.1
- python-dateutil==2.8.2
- requests==2.28.2
- scipy==1.7.3
- sklearn==0.0.post1
- tensorboard==1.15.0
- tensorflow==1.15.0
- tensorflow-estimator==1.15.1
- termcolor==2.2.0
- tqdm==4.64.1
- urllib3==1.26.14
- werkzeug==2.2.2
- wrapt==1.14.1
- zipp==3.11.0
prefix: /home/anaconda3/envs/SiSTA