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conda_environment.yml
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name: PyTorch_p3.6
channels:
- pytorch
- nvidia
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=4.5=1_gnu
- absl-py=0.13.0=pyhd8ed1ab_0
- blas=1.0=mkl
- blinker=1.4=py_1
- brotlipy=0.7.0=py36h8f6f2f9_1001
- bzip2=1.0.8=h7b6447c_0
- c-ares=1.17.1=h7f98852_1
- ca-certificates=2021.5.30=ha878542_0
- cachetools=2.0.0=py36_0
- certifi=2021.5.30=py36h5fab9bb_0
- cffi=1.14.6=py36hc120d54_0
- chardet=4.0.0=py36h5fab9bb_1
- charset-normalizer=2.0.0=pyhd8ed1ab_0
- click=8.0.1=py36h5fab9bb_0
- colorama=0.4.4=pyh9f0ad1d_0
- cryptography=3.4.7=py36hb60f036_0
- cudatoolkit=11.1.74=h6bb024c_0
- cycler=0.10.0=py_2
- dataclasses=0.8=pyh4f3eec9_6
- ffmpeg=4.3=hf484d3e_0
- freetype=2.10.4=h5ab3b9f_0
- fsspec=2021.7.0=pyhd8ed1ab_0
- future=0.18.2=py36h5fab9bb_3
- gmp=6.2.1=h2531618_2
- gnutls=3.6.15=he1e5248_0
- google-auth=1.0.1=py36_0
- google-auth-oauthlib=0.4.1=py_2
- grpcio=1.38.1=py36h8e87921_0
- icu=67.1=he1b5a44_0
- idna=3.1=pyhd3deb0d_0
- importlib-metadata=4.6.3=py36h5fab9bb_0
- intel-openmp=2021.2.0=h06a4308_610
- joblib=1.0.1=pyhd8ed1ab_0
- jpeg=9b=h024ee3a_2
- kiwisolver=1.3.1=py36h605e78d_1
- lame=3.100=h7b6447c_0
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.35.1=h7274673_9
- libblas=3.9.0=1_h86c2bf4_netlib
- libcblas=3.9.0=5_h92ddd45_netlib
- libffi=3.3=he6710b0_2
- libgcc-ng=9.3.0=h5101ec6_17
- libgfortran-ng=11.1.0=h69a702a_8
- libgfortran5=11.1.0=h6c583b3_8
- libgomp=9.3.0=h5101ec6_17
- libiconv=1.15=h63c8f33_5
- libidn2=2.3.1=h27cfd23_0
- liblapack=3.9.0=5_h92ddd45_netlib
- libpng=1.6.37=hbc83047_0
- libprotobuf=3.17.2=h780b84a_1
- libstdcxx-ng=9.3.0=hd4cf53a_17
- libtasn1=4.16.0=h27cfd23_0
- libtiff=4.2.0=h85742a9_0
- libunistring=0.9.10=h27cfd23_0
- libuv=1.40.0=h7b6447c_0
- libwebp-base=1.2.0=h27cfd23_0
- lz4-c=1.9.3=h2531618_0
- markdown=3.3.4=pyhd8ed1ab_0
- matplotlib=3.2.2=1
- matplotlib-base=3.2.2=py36h5fdd944_1
- mkl=2020.2=256
- mkl-service=2.3.0=py36he8ac12f_0
- mkl_fft=1.3.0=py36h54f3939_0
- mkl_random=1.1.1=py36h0573a6f_0
- ncurses=6.2=he6710b0_1
- nettle=3.7.3=hbbd107a_1
- ninja=1.10.2=hff7bd54_1
- numpy=1.19.2=py36h54aff64_0
- numpy-base=1.19.2=py36hfa32c7d_0
- oauthlib=3.1.1=pyhd8ed1ab_0
- olefile=0.46=py36_0
- openh264=2.1.0=hd408876_0
- openssl=1.1.1k=h7f98852_0
- packaging=21.0=pyhd8ed1ab_0
- pillow=8.2.0=py36he98fc37_0
- pip=21.1.3=py36h06a4308_0
- protobuf=3.17.2=py36hc4f0c31_0
- pyasn1=0.4.8=py_0
- pyasn1-modules=0.2.7=py_0
- pycparser=2.20=pyh9f0ad1d_2
- pydeprecate=0.3.1=pyhd8ed1ab_0
- pyjwt=2.1.0=pyhd8ed1ab_0
- pyopenssl=20.0.1=pyhd8ed1ab_0
- pyparsing=2.4.7=pyh9f0ad1d_0
- pysocks=1.7.1=py36h5fab9bb_3
- python=3.6.13=h12debd9_1
- python-dateutil=2.8.1=py_0
- python_abi=3.6=2_cp36m
- pytorch=1.9.0=py3.6_cuda11.1_cudnn8.0.5_0
- pytorch-lightning=1.4.0=pyhd8ed1ab_0
- pyyaml=5.4.1=py36h8f6f2f9_0
- readline=8.1=h27cfd23_0
- requests=2.26.0=pyhd8ed1ab_0
- requests-oauthlib=1.3.0=pyh9f0ad1d_0
- rsa=3.4.2=py_1
- scikit-learn=0.24.2=py36h2fdd933_1
- scipy=1.5.3=py36h9e8f40b_0
- setuptools=52.0.0=py36h06a4308_0
- six=1.16.0=pyhd3eb1b0_0
- sqlite=3.36.0=hc218d9a_0
- tensorboard=2.4.1=pyhd8ed1ab_0
- tensorboard-plugin-wit=1.8.0=pyh44b312d_0
- threadpoolctl=2.2.0=pyh8a188c0_0
- tk=8.6.10=hbc83047_0
- torchaudio=0.9.0=py36
- torchmetrics=0.4.1=pyhd8ed1ab_0
- torchvision=0.10.0=py36_cu111
- tornado=6.1=py36h8f6f2f9_1
- tqdm=4.62.0=pyhd8ed1ab_0
- typing_extensions=3.10.0.0=pyh06a4308_0
- urllib3=1.26.6=pyhd8ed1ab_0
- werkzeug=2.0.1=pyhd8ed1ab_0
- wheel=0.36.2=pyhd3eb1b0_0
- xz=5.2.5=h7b6447c_0
- yaml=0.2.5=h516909a_0
- zipp=3.5.0=pyhd8ed1ab_0
- zlib=1.2.11=h7b6447c_3
- zstd=1.4.9=haebb681_0
prefix: /users/ekourlitis/.conda/envs/PyTorch_p3.6