environment.yml

name: ser_venv
channels:
  - pytorch
  - anaconda
  - nvidia
  - conda-forge
  - defaults
dependencies:
  - _libgcc_mutex=0.1
  - _openmp_mutex=4.5
  - abseil-cpp=20230802.0
  - absl-py=2.1.0
  - asttokens=2.4.1
  - audioread=3.0.1
  - blas=1.0
  - bottleneck=1.3.7
  - brotli=1.0.9
  - brotli-bin=1.0.9
  - bzip2=1.0.8
  - c-ares=1.19.1
  - ca-certificates=2024.7.4
  - certifi=2024.7.4
  - cffi=1.16.0
  - charset-normalizer=2.0.4
  - comm=0.2.2
  - contourpy=1.2.0
  - cuda-cudart=12.1.105
  - cuda-cupti=12.1.105
  - cuda-libraries=12.1.0
  - cuda-nvcc=12.4.131
  - cuda-nvrtc=12.1.105
  - cuda-nvtx=12.1.105
  - cuda-opencl=12.4.127
  - cuda-runtime=12.1.0
  - cudatoolkit=11.8.0
  - cycler=0.11.0
  - debugpy=1.8.5
  - decorator=5.1.1
  - exceptiongroup=1.2.2
  - executing=2.0.1
  - ffmpeg=4.3
  - filelock=3.13.1
  - fonttools=4.25.0
  - freetype=2.12.1
  - gettext=0.22.5
  - gettext-tools=0.22.5
  - gmp=6.2.1
  - gmpy2=2.1.2
  - gnutls=3.6.15
  - grpc-cpp=1.48.2
  - grpcio=1.48.2
  - gtest=1.14.0
  - idna=3.4
  - importlib-metadata=8.4.0
  - importlib_metadata=8.4.0
  - intel-openmp=2023.1.0
  - ipykernel=6.29.5
  - jedi=0.19.1
  - jinja2=3.1.3
  - joblib=1.2.0
  - jpeg=9e
  - jupyter_client=8.6.2
  - jupyter_core=5.7.2
  - keyutils=1.6.1
  - kiwisolver=1.4.4
  - krb5=1.21.3
  - lame=3.100
  - lcms2=2.12
  - ld_impl_linux-64=2.38
  - lerc=3.0
  - libasprintf=0.22.5
  - libasprintf-devel=0.22.5
  - libbrotlicommon=1.0.9
  - libbrotlidec=1.0.9
  - libbrotlienc=1.0.9
  - libcublas=12.1.0.26
  - libcufft=11.0.2.4
  - libcufile=1.9.1.3
  - libcurand=10.3.5.147
  - libcusolver=11.4.4.55
  - libcusparse=12.0.2.55
  - libdeflate=1.17
  - libedit=3.1.20191231
  - libffi=3.4.4
  - libflac=1.4.3
  - libgcc-ng=13.2.0
  - libgettextpo=0.22.5
  - libgettextpo-devel=0.22.5
  - libgfortran-ng=11.2.0
  - libgfortran5=11.2.0
  - libiconv=1.16
  - libidn2=2.3.4
  - libjpeg-turbo=2.0.0
  - libllvm14=14.0.6
  - libnpp=12.0.2.50
  - libnvjitlink=12.1.105
  - libnvjpeg=12.1.1.14
  - libogg=1.3.5
  - libopus=1.3.1
  - libpng=1.6.39
  - libprotobuf=3.20.3
  - librosa=0.10.2.post1
  - libsndfile=1.2.2
  - libsodium=1.0.18
  - libstdcxx-ng=13.2.0
  - libtasn1=4.19.0
  - libtiff=4.5.1
  - libunistring=0.9.10
  - libuuid=1.41.5
  - libvorbis=1.3.7
  - libwebp-base=1.3.2
  - llvm-openmp=14.0.6
  - llvmlite=0.42.0
  - lz4-c=1.9.4
  - markdown=3.4.1
  - markupsafe=2.1.3
  - matplotlib-base=3.8.4
  - matplotlib-inline=0.1.7
  - mkl=2023.1.0
  - mkl-service=2.4.0
  - mkl_fft=1.3.8
  - mkl_random=1.2.4
  - mpc=1.1.0
  - mpfr=4.0.2
  - mpg123=1.32.6
  - mpmath=1.3.0
  - msgpack-python=1.0.3
  - munkres=1.1.4
  - ncurses=6.4
  - nest-asyncio=1.6.0
  - nettle=3.7.3
  - networkx=3.1
  - numba=0.59.1
  - numexpr=2.8.7
  - numpy=1.26.4
  - numpy-base=1.26.4
  - openh264=2.1.1
  - openjpeg=2.4.0
  - openssl=3.3.1
  - parso=0.8.4
  - pexpect=4.9.0
  - pickleshare=0.7.5
  - pillow=10.2.0
  - pip=23.3.1
  - platformdirs=3.10.0
  - pooch=1.7.0
  - protobuf=3.20.3
  - psutil=6.0.0
  - ptyprocess=0.7.0
  - pure_eval=0.2.3
  - pycparser=2.21
  - pyparsing=3.0.9
  - pysoundfile=0.12.1
  - python=3.11.8
  - python-tzdata=2023.3
  - python_abi=3.11
  - pytorch=2.2.2
  - pytorch-cuda=12.1
  - pytorch-mutex=1.0
  - pyyaml=6.0.1
  - pyzmq=26.1.1
  - re2=2022.04.01
  - readline=8.2
  - requests=2.31.0
  - scikit-learn=1.2.2
  - scipy=1.12.0
  - seaborn=0.13.2
  - setuptools=68.2.2
  - six=1.16.0
  - soxr=0.1.3
  - soxr-python=0.3.7
  - sqlite=3.41.2
  - stack_data=0.6.2
  - sympy=1.12
  - tbb=2021.8.0
  - tensorboard=2.17.1
  - tensorboard-data-server=0.7.0
  - threadpoolctl=2.2.0
  - tk=8.6.12
  - torchaudio=2.2.2
  - torchtriton=2.2.0
  - torchvision=0.17.2
  - tornado=6.4.1
  - typing_extensions=4.9.0
  - urllib3=2.1.0
  - wcwidth=0.2.13
  - werkzeug=2.3.8
  - wheel=0.41.2
  - xz=5.4.6
  - yaml=0.2.5
  - zeromq=4.3.5
  - zipp=3.20.0
  - zlib=1.2.13
  - zstd=1.5.5
  - pip:
      - aiohttp==3.9.5
      - aiosignal==1.3.1
      - attrs==23.2.0
      - datasets==2.18.0
      - dill==0.3.8
      - efficientnet==1.1.1
      - frozenlist==1.4.1
      - fsspec==2024.2.0
      - h5py==3.11.0
      - huggingface-hub==0.22.2
      - imageio==2.34.1
      - ipython==8.23.0
      - keras-applications==1.0.8
      - lazy-loader==0.4
      - multidict==6.0.5
      - multiprocess==0.70.16
      - packaging==24.0
      - pandas==2.2.2
      - prompt-toolkit==3.0.43
      - pure-eval==0.2.2
      - pyarrow==15.0.2
      - pyarrow-hotfix==0.6
      - pygments==2.17.2
      - python-dateutil==2.9.0.post0
      - pytz==2024.1
      - regex==2024.4.16
      - safetensors==0.4.3
      - scikit-image==0.23.2
      - stack-data==0.6.3
      - tifffile==2024.5.10
      - tokenizers==0.15.2
      - tqdm==4.66.2
      - traitlets==5.14.2
      - transformers==4.39.3
      - tzdata==2024.1
      - xxhash==3.4.1
      - yarl==1.9.4
prefix: /scratch/work/bijoym1/conda_envs/ser_venv