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conda_env.yml
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name: imputeformer
channels:
- pytorch
- nvidia
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
- defaults
dependencies:
- blas=2.116=mkl
- blas-devel=3.9.0=16_win64_mkl
- brotlipy=0.7.0=py38h91455d4_1005
- bzip2=1.0.8=h8ffe710_4
- ca-certificates=2022.12.7=h5b45459_0
- certifi=2022.12.7=pyhd8ed1ab_0
- cffi=1.15.1=py38h57701bc_3
- charset-normalizer=2.1.1=pyhd8ed1ab_0
- cryptography=40.0.1=py38h95f5157_0
- cuda-cccl=12.1.55=0
- cuda-cudart=11.8.89=0
- cuda-cudart-dev=11.8.89=0
- cuda-cupti=11.8.87=0
- cuda-libraries=11.8.0=0
- cuda-libraries-dev=11.8.0=0
- cuda-nvrtc=11.8.89=0
- cuda-nvrtc-dev=11.8.89=0
- cuda-nvtx=11.8.86=0
- cuda-profiler-api=12.1.55=0
- cuda-runtime=11.8.0=0
- filelock=3.10.6=pyhd8ed1ab_0
- freetype=2.12.1=h546665d_1
- idna=3.4=pyhd8ed1ab_0
- intel-openmp=2023.0.0=h57928b3_25922
- jinja2=3.1.2=pyhd8ed1ab_1
- jpeg=9e=hcfcfb64_3
- lcms2=2.15=ha5c8aab_0
- lerc=4.0.0=h63175ca_0
- libblas=3.9.0=16_win64_mkl
- libcblas=3.9.0=16_win64_mkl
- libcublas=11.11.3.6=0
- libcublas-dev=11.11.3.6=0
- libcufft=10.9.0.58=0
- libcufft-dev=10.9.0.58=0
- libcurand=10.3.2.56=0
- libcurand-dev=10.3.2.56=0
- libcusolver=11.4.1.48=0
- libcusolver-dev=11.4.1.48=0
- libcusparse=11.7.5.86=0
- libcusparse-dev=11.7.5.86=0
- libdeflate=1.17=hcfcfb64_0
- libffi=3.4.2=h8ffe710_5
- libhwloc=2.9.0=h51c2c0f_0
- libiconv=1.17=h8ffe710_0
- liblapack=3.9.0=16_win64_mkl
- liblapacke=3.9.0=16_win64_mkl
- libnpp=11.8.0.86=0
- libnpp-dev=11.8.0.86=0
- libnvjpeg=11.9.0.86=0
- libnvjpeg-dev=11.9.0.86=0
- libpng=1.6.39=h19919ed_0
- libsqlite=3.40.0=hcfcfb64_0
- libtiff=4.5.0=hf8721a0_2
- libuv=1.44.2=h8ffe710_0
- libwebp-base=1.3.0=hcfcfb64_0
- libxcb=1.13=hcd874cb_1004
- libxml2=2.10.3=hc3477c8_6
- libzlib=1.2.13=hcfcfb64_4
- m2w64-gcc-libgfortran=5.3.0=6
- m2w64-gcc-libs=5.3.0=7
- m2w64-gcc-libs-core=5.3.0=7
- m2w64-gmp=6.1.0=2
- m2w64-libwinpthread-git=5.0.0.4634.697f757=2
- markupsafe=2.1.2=py38h91455d4_0
- mkl=2022.1.0=h6a75c08_874
- mkl-devel=2022.1.0=h57928b3_875
- mkl-include=2022.1.0=h6a75c08_874
- mpmath=1.3.0=pyhd8ed1ab_0
- msys2-conda-epoch=20160418=1
- networkx=3.0=pyhd8ed1ab_0
- numpy=1.24.2=py38h7ec9225_0
- openjpeg=2.5.0=ha2aaf27_2
- openssl=3.1.0=hcfcfb64_0
- pillow=9.4.0=py38h087119c_1
- pip=23.0.1=pyhd8ed1ab_0
- pthread-stubs=0.4=hcd874cb_1001
- pthreads-win32=2.9.1=hfa6e2cd_3
- pycparser=2.21=pyhd8ed1ab_0
- pyopenssl=23.1.0=pyhd8ed1ab_0
- pysocks=1.7.1=pyh0701188_6
- python=3.8.16=h4de0772_1_cpython
- python_abi=3.8=3_cp38
- pytorch=2.0.0=py3.8_cuda11.8_cudnn8_0
- pytorch-cuda=11.8=h24eeafa_3
- pytorch-mutex=1.0=cuda
- requests=2.28.2=pyhd8ed1ab_0
- setuptools=75.3.0=pyhd8ed1ab_0
- sympy=1.11.1=pyh04b8f61_3
- tbb=2021.8.0=h91493d7_0
- tk=8.6.12=h8ffe710_0
- typing_extensions=4.5.0=pyha770c72_0
- ucrt=10.0.22621.0=h57928b3_0
- urllib3=1.26.15=pyhd8ed1ab_0
- vc=14.3=hb6edc58_10
- vs2015_runtime=14.34.31931=h4c5c07a_10
- wheel=0.40.0=pyhd8ed1ab_0
- win_inet_pton=1.1.0=pyhd8ed1ab_6
- xorg-libxau=1.0.9=hcd874cb_0
- xorg-libxdmcp=1.1.3=hcd874cb_0
- xz=5.2.6=h8d14728_0
- zstd=1.5.2=h12be248_6
- pip:
- absl-py==2.1.0
- aiohappyeyeballs==2.4.4
- aiohttp==3.10.11
- aiosignal==1.3.1
- async-timeout==5.0.1
- attrs==24.3.0
- blosc2==2.0.0
- cachetools==5.5.0
- colorama==0.4.6
- cython==3.0.11
- einops==0.6.0
- frozenlist==1.5.0
- fsspec==2024.12.0
- future==1.0.0
- google-auth==2.37.0
- google-auth-oauthlib==1.0.0
- grpcio==1.69.0
- imageio==2.35.1
- importlib-metadata==8.5.0
- joblib==1.4.2
- lightning-utilities==0.11.9
- markdown==3.7
- msgpack==1.1.0
- multidict==6.1.0
- numexpr==2.8.6
- oauthlib==3.2.2
- packaging==24.2
- pandas==1.4.4
- propcache==0.2.0
- protobuf==5.29.3
- psutil==6.1.1
- py-cpuinfo==9.0.0
- pyasn1==0.6.1
- pyasn1-modules==0.4.1
- pyparsing==3.1.4
- python-dateutil==2.9.0.post0
- pytorch-lightning==1.9.0
- pytz==2024.2
- pyyaml==6.0.2
- requests-oauthlib==2.0.0
- rsa==4.9
- scikit-learn==1.3.2
- scipy==1.10.1
- six==1.17.0
- tables==3.8.0
- tensorboard==2.14.0
- tensorboard-data-server==0.7.2
- test-tube==0.7.5
- threadpoolctl==3.5.0
- torch-geometric==2.3.0
- torch-scatter==2.1.2
- torch-sparse==0.6.18
- torchmetrics==0.11.4
- tqdm==4.67.1
- tzdata==2024.2
- werkzeug==3.0.6
- yarl==1.15.2
- zipp==3.20.2