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name: py38torch18
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=1_llvm
- blas=1.0=mkl
- bzip2=1.0.8=h7f98852_4
- ca-certificates=2021.1.19=h06a4308_1
- certifi=2020.12.5=py38h06a4308_0
- cudatoolkit=11.1.1=h6406543_8
- ffmpeg=4.3=hf484d3e_0
- freetype=2.10.4=h0708190_1
- gmp=6.2.1=h58526e2_0
- gnutls=3.6.13=h85f3911_1
- h5py=2.10.0=py38hd6299e0_1
- hdf5=1.10.6=hb1b8bf9_0
- jpeg=9b=h024ee3a_2
- lame=3.100=h7f98852_1001
- 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=9.3.0=h2828fa1_18
- libgfortran-ng=7.3.0=hdf63c60_0
- libiconv=1.16=h516909a_0
- libpng=1.6.37=h21135ba_2
- libstdcxx-ng=9.3.0=h6de172a_18
- libtiff=4.1.0=h2733197_1
- libuv=1.41.0=h7f98852_0
- llvm-openmp=11.0.1=h4bd325d_0
- lz4-c=1.9.3=h9c3ff4c_0
- mkl=2020.4=h726a3e6_304
- mkl-service=2.3.0=py38h1e0a361_2
- mkl_fft=1.3.0=py38h5c078b8_1
- mkl_random=1.2.0=py38hc5bc63f_1
- ncurses=6.2=he6710b0_1
- nettle=3.6=he412f7d_0
- ninja=1.10.2=h4bd325d_0
- numpy=1.19.2=py38h54aff64_0
- numpy-base=1.19.2=py38hfa32c7d_0
- olefile=0.46=pyh9f0ad1d_1
- openh264=2.1.1=h780b84a_0
- openssl=1.1.1j=h27cfd23_0
- pillow=8.1.2=py38he98fc37_0
- pip=21.0.1=py38h06a4308_0
- python=3.8.8=hdb3f193_4
- python_abi=3.8=1_cp38
- pytorch=1.8.0=py3.8_cuda11.1_cudnn8.0.5_0
- readline=8.1=h27cfd23_0
- scipy=1.6.1=py38h91f5cce_0
- setuptools=52.0.0=py38h06a4308_0
- six=1.15.0=pyh9f0ad1d_0
- sqlite=3.33.0=h62c20be_0
- tk=8.6.10=hbc83047_0
- torchaudio=0.8.0=py38
- torchvision=0.9.0=py38_cu111
- tqdm=4.56.0=pyhd3eb1b0_0
- typing_extensions=3.7.4.3=py_0
- wheel=0.36.2=pyhd3eb1b0_0
- xz=5.2.5=h7b6447c_0
- zlib=1.2.11=h7b6447c_3
- zstd=1.4.9=ha95c52a_0
- pip:
- ilock==1.0.3
- portalocker==2.2.1
prefix: /home/weiss/anaconda3/envs/py38torch18