SpecXNet/environment.yml at main · inzamamulDU/SpecXNet · GitHub

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name: gid
channels:
  - anaconda
  - pytorch
  - nvidia
  - defaults
  - conda-forge
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - blas=1.0=mkl
  - bottleneck=1.3.4=py38hce1f21e_0
  - brotlipy=0.7.0=py38h27cfd23_1003
  - bzip2=1.0.8=h7b6447c_0
  - ca-certificates=2024.2.2=hbcca054_0
  - certifi=2024.2.2=pyhd8ed1ab_0
  - cffi=1.15.0=py38h7f8727e_0
  - charset-normalizer=2.0.4=pyhd3eb1b0_0
  - cryptography=39.0.1=py38h9ce1e76_0
  - cuda-cudart=11.7.99=0
  - cuda-cupti=11.7.101=0
  - cuda-libraries=11.7.1=0
  - cuda-nvrtc=11.7.99=0
  - cuda-nvtx=11.7.91=0
  - cuda-runtime=11.7.1=0
  - ffmpeg=4.3=hf484d3e_0
  - filelock=3.9.0=py38h06a4308_0
  - freetype=2.11.0=h70c0345_0
  - giflib=5.2.1=h7b6447c_0
  - gmp=6.2.1=h295c915_3
  - gmpy2=2.1.2=py38heeb90bb_0
  - gnutls=3.6.15=he1e5248_0
  - huggingface_hub=0.23.0=pyhd8ed1ab_0
  - idna=3.4=py38h06a4308_0
  - intel-openmp=2021.4.0=h06a4308_3561
  - jinja2=3.1.2=py38h06a4308_0
  - joblib=1.2.0=py38h06a4308_0
  - jpeg=9e=h7f8727e_0
  - lame=3.100=h7b6447c_0
  - lcms2=2.12=h3be6417_0
  - libcublas=11.10.3.66=0
  - libcufft=10.7.2.124=h4fbf590_0
  - libcufile=1.6.1.9=0
  - libcurand=10.3.2.106=0
  - libcusolver=11.4.0.1=0
  - libcusparse=11.7.4.91=0
  - libedit=3.1.20210910=h7f8727e_0
  - libffi=3.2.1=hf484d3e_1007
  - libgcc-ng=11.2.0=h1234567_1
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libgomp=11.2.0=h1234567_1
  - libiconv=1.16=h7f8727e_2
  - libidn2=2.3.2=h7f8727e_0
  - libnpp=11.7.4.75=0
  - libnvjpeg=11.8.0.2=0
  - libpng=1.6.37=hbc83047_0
  - libprotobuf=3.15.8=h780b84a_1
  - libstdcxx-ng=11.2.0=h1234567_1
  - libtasn1=4.16.0=h27cfd23_0
  - libtiff=4.2.0=h2818925_1
  - libunistring=0.9.10=h27cfd23_0
  - libwebp=1.2.2=h55f646e_0
  - libwebp-base=1.2.2=h7f8727e_0
  - lz4-c=1.9.3=h295c915_1
  - markupsafe=2.1.1=py38h7f8727e_0
  - mkl=2021.4.0=h06a4308_640
  - mkl-service=2.4.0=py38h7f8727e_0
  - mkl_fft=1.3.1=py38hd3c417c_0
  - mkl_random=1.2.2=py38h51133e4_0
  - mpc=1.1.0=h10f8cd9_1
  - mpfr=4.0.2=hb69a4c5_1
  - mpmath=1.2.1=py38h06a4308_0
  - ncurses=6.3=h7f8727e_2
  - nettle=3.7.3=hbbd107a_1
  - networkx=2.8.4=py38h06a4308_1
  - numexpr=2.8.1=py38h6abb31d_0
  - openh264=2.1.1=h4ff587b_0
  - openssl=1.1.1l=h7f98852_0
  - packaging=23.0=py38h06a4308_0
  - pandas=1.4.2=py38h295c915_0
  - protobuf=3.15.8=py38h709712a_0
  - pycparser=2.21=pyhd3eb1b0_0
  - pyopenssl=23.0.0=py38h06a4308_0
  - pysocks=1.7.1=py38h06a4308_0
  - python=3.8.0=h0371630_2
  - python-dateutil=2.8.2=pyhd3eb1b0_0
  - python_abi=3.8=2_cp38
  - pytorch=2.0.1=py3.8_cuda11.7_cudnn8.5.0_0
  - pytorch-cuda=11.7=h778d358_5
  - pytorch-mutex=1.0=cuda
  - pytz=2022.7=py38h06a4308_0
  - pyyaml=6.0=py38h0a891b7_4
  - readline=7.0=h7b6447c_5
  - requests=2.29.0=py38h06a4308_0
  - setuptools=67.8.0=py38h06a4308_0
  - six=1.16.0=pyhd3eb1b0_1
  - sqlite=3.33.0=h62c20be_0
  - sympy=1.11.1=py38h06a4308_0
  - tensorboardx=2.2=pyhd3eb1b0_0
  - threadpoolctl=2.2.0=pyh0d69192_0
  - tk=8.6.12=h1ccaba5_0
  - torchaudio=2.0.2=py38_cu117
  - torchtriton=2.0.0=py38
  - torchvision=0.15.2=py38_cu117
  - tqdm=4.65.0=py38hb070fc8_0
  - typing-extensions=4.11.0=hd8ed1ab_0
  - typing_extensions=4.11.0=pyha770c72_0
  - urllib3=1.26.16=py38h06a4308_0
  - wheel=0.38.4=py38h06a4308_0
  - xz=5.2.5=h7f8727e_1
  - yaml=0.2.5=h7f98852_2
  - zlib=1.2.12=h7f8727e_2
  - zstd=1.5.2=ha4553b6_0
  - pip:
      - aiohttp==3.9.5
      - aiosignal==1.3.1
      - albucore==0.0.12
      - albumentations==1.4.11
      - annotated-types==0.7.0
      - async-timeout==4.0.3
      - attrs==23.2.0
      - contourpy==1.1.1
      - cycler==0.12.1
      - datasets==2.19.1
      - dill==0.3.8
      - dlib==19.24.6
      - eval-type-backport==0.2.0
      - fonttools==4.56.0
      - frozenlist==1.4.1
      - fsspec==2024.3.1
      - ftfy==6.2.0
      - imageio==2.34.2
      - importlib-metadata==8.0.0
      - importlib-resources==6.4.5
      - kiwisolver==1.4.7
      - kmeans-pytorch==0.3
      - lazy-loader==0.4
      - llvmlite==0.41.1
      - matplotlib==3.7.5
      - multidict==6.0.5
      - multiprocess==0.70.16
      - numba==0.58.1
      - numpy==1.24.4
      - opencv-python==4.10.0.84
      - opencv-python-headless==4.10.0.84
      - pillow==10.3.0
      - pip==24.0
      - pyarrow==16.1.0
      - pyarrow-hotfix==0.6
      - pydantic==2.8.2
      - pydantic-core==2.20.1
      - pyparsing==3.1.4
      - pywavelets==1.4.1
      - regex==2024.5.15
      - scikit-image==0.21.0
      - scikit-learn==1.3.2
      - scipy==1.10.1
      - spikingjelly==0.0.0.0.14
      - tifffile==2023.7.10
      - tomli==2.0.1
      - torch-kmeans==0.2.0
      - wcwidth==0.2.13
      - xxhash==3.4.1
      - yarl==1.9.4
      - zipp==3.19.2
prefix: /home/inzi15/.conda/envs/gid