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environment.yaml
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environment.yaml
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name: serec
channels:
- pytorch
- dglteam
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=4.5=1_gnu
- blas=1.0=mkl
- bottleneck=1.3.2=py38heb32a55_1
- ca-certificates=2021.10.26=h06a4308_2
- certifi=2021.10.8=py38h06a4308_0
- cudatoolkit=11.3.1=h2bc3f7f_2
- dgl=0.7.2=py38_0
- dgl-cuda11.3=0.7.2=py38_0
- intel-openmp=2021.4.0=h06a4308_3561
- ld_impl_linux-64=2.35.1=h7274673_9
- libffi=3.3=he6710b0_2
- libgcc-ng=9.3.0=h5101ec6_17
- libgfortran-ng=7.5.0=ha8ba4b0_17
- libgfortran4=7.5.0=ha8ba4b0_17
- libgomp=9.3.0=h5101ec6_17
- libstdcxx-ng=9.3.0=hd4cf53a_17
- libuv=1.40.0=h7b6447c_0
- mkl=2021.4.0=h06a4308_640
- mkl-service=2.4.0=py38h7f8727e_0
- mkl_fft=1.3.1=py38hd3c417c_0
- mkl_random=1.2.2=py38h51133e4_0
- ncurses=6.3=h7f8727e_2
- networkx=2.6.3=pyhd3eb1b0_0
- numexpr=2.7.3=py38h22e1b3c_1
- numpy-base=1.21.2=py38h79a1101_0
- openssl=1.1.1l=h7f8727e_0
- pandas=1.3.4=py38h8c16a72_0
- pip=21.2.4=py38h06a4308_0
- python=3.8.12=h12debd9_0
- python-dateutil=2.8.2=pyhd3eb1b0_0
- pytorch=1.10.0=py3.8_cuda11.3_cudnn8.2.0_0
- pytorch-mutex=1.0=cuda
- pytz=2021.3=pyhd3eb1b0_0
- readline=8.1=h27cfd23_0
- setuptools=58.0.4=py38h06a4308_0
- six=1.16.0=pyhd3eb1b0_0
- sqlite=3.36.0=hc218d9a_0
- tk=8.6.11=h1ccaba5_0
- typing_extensions=3.10.0.2=pyh06a4308_0
- wheel=0.37.0=pyhd3eb1b0_1
- xz=5.2.5=h7b6447c_0
- zlib=1.2.11=h7b6447c_3
- pip:
- charset-normalizer==2.0.9
- idna==3.3
- joblib==1.1.0
- llvmlite==0.37.0
- numba==0.54.1
- numpy==1.20.3
- requests==2.26.0
- scikit-learn==1.0.1
- scipy==1.7.3
- sklearn==0.0
- threadpoolctl==3.0.0
- urllib3==1.26.7
prefix: /home/gjy/anaconda3/envs/serec