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env.yaml
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name: lk_svqa
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=4.5=1_gnu
- blas=1.0=mkl
- ca-certificates=2021.10.8=ha878542_0
- certifi=2021.10.8=py37h89c1867_2
- cudatoolkit=11.1.1=h6406543_8
- freetype=2.10.4=h0708190_1
- intel-openmp=2021.4.0=h06a4308_3561
- jpeg=9d=h7f8727e_0
- ld_impl_linux-64=2.35.1=h7274673_9
- libffi=3.3=he6710b0_2
- libgcc-ng=9.3.0=h5101ec6_17
- libgomp=9.3.0=h5101ec6_17
- libpng=1.6.37=h21135ba_2
- libstdcxx-ng=9.3.0=hd4cf53a_17
- libtiff=4.0.10=hc3755c2_1005
- libuv=1.40.0=h7b6447c_0
- lz4-c=1.9.3=h9c3ff4c_1
- mkl=2021.4.0=h06a4308_640
- mkl-service=2.4.0=py37h5e8e339_0
- mkl_fft=1.3.1=py37hd3c417c_0
- mkl_random=1.2.2=py37h219a48f_0
- ncurses=6.3=h7f8727e_2
- ninja=1.10.2=h4bd325d_0
- numpy=1.21.2=py37h20f2e39_0
- numpy-base=1.21.2=py37h79a1101_0
- olefile=0.46=pyh9f0ad1d_1
- openssl=1.1.1n=h7f8727e_0
- pillow=6.2.1=py37h6b7be26_0
- pip=21.2.2=py37h06a4308_0
- python=3.7.13=h12debd9_0
- python_abi=3.7=2_cp37m
- pytorch=1.9.1=py3.7_cuda11.1_cudnn8.0.5_0
- readline=8.1.2=h7f8727e_1
- setuptools=58.0.4=py37h06a4308_0
- six=1.16.0=pyh6c4a22f_0
- sqlite=3.38.2=hc218d9a_0
- tk=8.6.11=h1ccaba5_0
- torchaudio=0.9.1=py37
- torchvision=0.2.2=py_3
- typing_extensions=4.1.1=pyha770c72_0
- wheel=0.37.1=pyhd3eb1b0_0
- xz=5.2.5=h7b6447c_0
- zlib=1.2.11=h7f8727e_4
- zstd=1.4.9=ha95c52a_0
- pip:
- argparse==1.4.0
- attrs==21.4.0
- backcall==0.2.0
- block-bootstrap-pytorch==0.1.6
- bootstrap-pytorch==0.0.13
- cached-property==1.5.2
- charset-normalizer==2.0.12
- click==8.1.2
- cycler==0.11.0
- decorator==5.1.1
- fastjsonschema==2.15.3
- filelock==3.6.0
- fonttools==4.31.2
- h5py==3.6.0
- huggingface-hub==0.5.1
- idna==3.3
- importlib-metadata==4.11.3
- importlib-resources==5.6.0
- install==1.3.5
- ipdb==0.13.9
- ipython==7.32.0
- jedi==0.18.1
- joblib==1.1.0
- jsonschema==4.4.0
- jupyter-core==4.9.2
- kiwisolver==1.4.2
- matplotlib==3.5.1
- matplotlib-inline==0.1.3
- munch==2.5.0
- nbformat==5.3.0
- nltk==3.7
- opencv-python==4.5.5.64
- packaging==21.3
- pandas==1.3.5
- parso==0.8.3
- pexpect==4.8.0
- pickleshare==0.7.5
- plotly==3.10.0
- pretrainedmodels==0.7.4
- prompt-toolkit==3.0.29
- protobuf==3.20.0
- ptyprocess==0.7.0
- pycocoevalcap==1.2
- pycocotools==2.0.4
- pygments==2.11.2
- pyparsing==3.0.7
- pyrsistent==0.18.1
- python-dateutil==2.8.2
- pytz==2022.1
- pyyaml==5.4.1
- regex==2022.4.24
- requests==2.27.1
- retrying==1.3.3
- sacremoses==0.0.53
- scikit-learn==1.0.2
- scipy==1.7.3
- seaborn==0.11.2
- sentence-transformers==2.2.0
- sentencepiece==0.1.96
- skipthoughts==0.0.1
- sklearn==0.0
- tabulate==0.8.9
- tensorboardx==2.5
- threadpoolctl==3.1.0
- tokenizers==0.12.1
- toml==0.10.2
- tqdm==4.64.0
- traitlets==5.1.1
- transformers==4.18.0
- urllib3==1.26.9
- wcwidth==0.2.5
- zipp==3.8.0
prefix: /home/mmlab/anaconda3/envs/lk_svqa