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conda.yml
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conda.yml
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name: robrank
channels:
- pytorch
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- blas=1.0=mkl
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2023.08.22=h06a4308_0
- cudatoolkit=10.2.89=hfd86e86_1
- ffmpeg=4.3=hf484d3e_0
- freetype=2.12.1=h4a9f257_0
- giflib=5.2.1=h5eee18b_3
- gmp=6.2.1=h295c915_3
- gnutls=3.6.15=he1e5248_0
- intel-openmp=2023.1.0=hdb19cb5_46306
- jpeg=9b=h024ee3a_2
- lame=3.100=h7b6447c_0
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libiconv=1.16=h7f8727e_2
- libidn2=2.3.4=h5eee18b_0
- libpng=1.6.39=h5eee18b_0
- libstdcxx-ng=11.2.0=h1234567_1
- libtasn1=4.19.0=h5eee18b_0
- libtiff=4.1.0=h2733197_1
- libunistring=0.9.10=h27cfd23_0
- libuv=1.44.2=h5eee18b_0
- libwebp=1.2.0=h89dd481_0
- lz4-c=1.9.4=h6a678d5_0
- mkl=2023.1.0=h213fc3f_46344
- mkl-service=2.4.0=py38h5eee18b_1
- mkl_fft=1.3.8=py38h5eee18b_0
- mkl_random=1.2.4=py38hdb19cb5_0
- ncurses=6.4=h6a678d5_0
- nettle=3.7.3=hbbd107a_1
- ninja=1.10.2=h06a4308_5
- ninja-base=1.10.2=hd09550d_5
- numpy=1.24.3=py38hf6e8229_1
- numpy-base=1.24.3=py38h060ed82_1
- openh264=2.1.1=h4ff587b_0
- openssl=3.0.12=h7f8727e_0
- pillow=9.3.0=py38hace64e9_1
- pip=23.3.1=py38h06a4308_0
- python=3.8.18=h955ad1f_0
- pytorch=1.8.1=py3.8_cuda10.2_cudnn7.6.5_0
- readline=8.2=h5eee18b_0
- setuptools=68.0.0=py38h06a4308_0
- sqlite=3.41.2=h5eee18b_0
- tbb=2021.8.0=hdb19cb5_0
- tk=8.6.12=h1ccaba5_0
- torchaudio=0.8.1=py38
- torchvision=0.9.1=py38_cu102
- typing_extensions=4.7.1=py38h06a4308_0
- wheel=0.41.2=py38h06a4308_0
- xz=5.4.5=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- zstd=1.4.9=haebb681_0
- pip:
- absl-py==2.0.0
- aiohttp==3.9.1
- aiosignal==1.3.1
- asttokens==2.4.1
- async-timeout==4.0.3
- attrs==23.1.0
- backcall==0.2.0
- cachetools==5.3.2
- certifi==2023.11.17
- charset-normalizer==3.3.2
- contourpy==1.1.1
- cycler==0.12.1
- decorator==5.1.1
- efficientnet-pytorch==0.7.1
- exceptiongroup==1.2.0
- executing==2.0.1
- faiss-gpu==1.7.2
- filelock==3.13.1
- fonttools==4.46.0
- frozenlist==1.4.0
- fsspec==2023.12.1
- google-auth==2.25.0
- google-auth-oauthlib==1.0.0
- grpcio==1.59.3
- huggingface-hub==0.19.4
- idna==3.6
- importlib-metadata==7.0.0
- importlib-resources==6.1.1
- iniconfig==2.0.0
- ipython==8.12.3
- jedi==0.19.1
- joblib==1.3.2
- kiwisolver==1.4.5
- lightning-utilities==0.10.0
- markdown==3.5.1
- markdown-it-py==3.0.0
- markupsafe==2.1.3
- matplotlib==3.7.4
- matplotlib-inline==0.1.6
- mdurl==0.1.2
- multidict==6.0.4
- munch==4.0.0
- oauthlib==3.2.2
- packaging==23.2
- pandas==2.0.3
- parso==0.8.3
- pexpect==4.9.0
- pickleshare==0.7.5
- pluggy==1.3.0
- pretrainedmodels==0.7.4
- prompt-toolkit==3.0.41
- protobuf==4.25.1
- psutil==5.9.6
- ptyprocess==0.7.0
- pure-eval==0.2.2
- pyasn1==0.5.1
- pyasn1-modules==0.3.0
- pydeprecate==0.3.2
- pygments==2.17.2
- pyparsing==3.1.1
- pytest==7.4.3
- python-dateutil==2.8.2
- pytorch-lightning==1.6.3
- pytorch-metric-learning==2.3.0
- pytz==2023.3.post1
- pyyaml==6.0.1
- requests==2.31.0
- requests-oauthlib==1.3.1
- rich==13.7.0
- rsa==4.9
- safetensors==0.4.1
- scikit-learn==1.3.2
- scipy==1.10.1
- six==1.16.0
- stack-data==0.6.3
- tensorboard==2.14.0
- tensorboard-data-server==0.7.2
- termcolor==2.4.0
- threadpoolctl==3.2.0
- timm==0.9.12
- tomli==2.0.1
- torchmetrics==1.2.1
- tqdm==4.66.1
- traitlets==5.14.0
- tzdata==2023.3
- urllib3==2.1.0
- wcwidth==0.2.12
- werkzeug==3.0.1
- yarl==1.9.3
- zipp==3.17.0
prefix: /home/mzhou32/miniconda3/envs/robrank