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denetdm.yml
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denetdm.yml
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name: denetdm
channels:
- pytorch
- nvidia
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=2_gnu
- absl-py=2.1.0=py39h06a4308_0
- appdirs=1.4.4=pyhd3eb1b0_0
- blas=1.0=mkl
- brotli-python=1.0.9=py39h6a678d5_8
- bzip2=1.0.8=h5eee18b_6
- c-ares=1.19.1=h5eee18b_0
- ca-certificates=2024.9.24=h06a4308_0
- certifi=2024.8.30=pyhd8ed1ab_0
- charset-normalizer=3.3.2=pyhd3eb1b0_0
- click=8.1.7=py39h06a4308_0
- colorama=0.4.6=py39h06a4308_0
- cuda-cudart=12.1.105=0
- cuda-cupti=12.1.105=0
- cuda-libraries=12.1.0=0
- cuda-nvrtc=12.1.105=0
- cuda-nvtx=12.1.105=0
- cuda-opencl=12.6.77=0
- cuda-runtime=12.1.0=0
- cuda-version=12.6=3
- docker-pycreds=0.4.0=pyhd3eb1b0_0
- docopt=0.6.2=py39h06a4308_1
- ffmpeg=4.3=hf484d3e_0
- filelock=3.13.1=py39h06a4308_0
- freetype=2.12.1=h4a9f257_0
- gitdb=4.0.7=pyhd3eb1b0_0
- gitpython=3.1.43=py39h06a4308_0
- gmp=6.2.1=h295c915_3
- gmpy2=2.1.2=py39heeb90bb_0
- gnutls=3.6.15=he1e5248_0
- grpcio=1.62.2=py39h6a678d5_0
- idna=3.7=py39h06a4308_0
- importlib-metadata=7.0.1=py39h06a4308_0
- intel-openmp=2023.1.0=hdb19cb5_46306
- jinja2=3.1.4=py39h06a4308_0
- jpeg=9e=h5eee18b_3
- jsonpickle=2.2.0=py39h06a4308_0
- lame=3.100=h7b6447c_0
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.40=h12ee557_0
- lerc=3.0=h295c915_0
- libabseil=20240116.2=cxx17_h6a678d5_0
- libcublas=12.1.0.26=0
- libcufft=11.0.2.4=0
- libcufile=1.11.1.6=0
- libcurand=10.3.7.77=0
- libcusolver=11.4.4.55=0
- libcusparse=12.0.2.55=0
- libdeflate=1.17=h5eee18b_1
- libffi=3.4.4=h6a678d5_1
- libgcc=14.2.0=h77fa898_1
- libgcc-ng=14.2.0=h69a702a_1
- libgomp=14.2.0=h77fa898_1
- libgrpc=1.62.2=h2d74bed_0
- libiconv=1.16=h5eee18b_3
- libidn2=2.3.4=h5eee18b_0
- libjpeg-turbo=2.0.0=h9bf148f_0
- libnpp=12.0.2.50=0
- libnvjitlink=12.1.105=0
- libnvjpeg=12.1.1.14=0
- libpng=1.6.39=h5eee18b_0
- libprotobuf=4.25.3=he621ea3_0
- libstdcxx-ng=11.2.0=h1234567_1
- libtasn1=4.19.0=h5eee18b_0
- libtiff=4.5.1=h6a678d5_0
- libunistring=0.9.10=h27cfd23_0
- libwebp-base=1.3.2=h5eee18b_1
- llvm-openmp=14.0.6=h9e868ea_0
- lz4-c=1.9.4=h6a678d5_1
- markdown=3.4.1=py39h06a4308_0
- markupsafe=2.1.3=py39h5eee18b_0
- mkl=2023.1.0=h213fc3f_46344
- mkl-service=2.4.0=py39h5eee18b_1
- mkl_fft=1.3.10=py39h5eee18b_0
- mkl_random=1.2.7=py39h1128e8f_0
- mpc=1.1.0=h10f8cd9_1
- mpfr=4.0.2=hb69a4c5_1
- mpmath=1.3.0=py39h06a4308_0
- munch=2.5.0=pyhd3eb1b0_0
- ncurses=6.4=h6a678d5_0
- nettle=3.7.3=hbbd107a_1
- networkx=3.2.1=py39h06a4308_0
- numpy=1.26.4=py39h5f9d8c6_0
- numpy-base=1.26.4=py39hb5e798b_0
- openh264=2.1.1=h4ff587b_0
- openjpeg=2.5.2=he7f1fd0_0
- openssl=3.3.2=hb9d3cd8_0
- packaging=24.1=py39h06a4308_0
- pillow=10.4.0=py39h5eee18b_0
- pip=24.2=py39h06a4308_0
- platformdirs=3.10.0=py39h06a4308_0
- protobuf=4.25.3=py39h12ddb61_0
- psutil=5.9.0=py39h5eee18b_0
- py-cpuinfo=9.0.0=py39h06a4308_0
- pysocks=1.7.1=py39h06a4308_0
- python=3.9.19=h955ad1f_1
- python_abi=3.9=2_cp39
- pytorch=2.2.2=py3.9_cuda12.1_cudnn8.9.2_0
- pytorch-cuda=12.1=ha16c6d3_6
- pytorch-mutex=1.0=cuda
- pyyaml=6.0.2=py39h5eee18b_0
- re2=2022.04.01=h295c915_0
- readline=8.2=h5eee18b_0
- requests=2.32.3=py39h06a4308_0
- sacred=0.8.5=pyhd8ed1ab_0
- sentry-sdk=2.16.0=pyhd8ed1ab_0
- setproctitle=1.2.2=py39h27cfd23_1004
- setuptools=75.1.0=py39h06a4308_0
- six=1.16.0=pyhd3eb1b0_1
- smmap=4.0.0=pyhd3eb1b0_0
- sqlite=3.45.3=h5eee18b_0
- sympy=1.13.2=py39h06a4308_0
- tbb=2021.8.0=hdb19cb5_0
- tensorboard=2.18.0=pyhd8ed1ab_0
- tensorboard-data-server=0.7.0=py39h52d8a92_1
- tk=8.6.14=h39e8969_0
- torchaudio=2.2.2=py39_cu121
- torchtriton=2.2.0=py39
- torchvision=0.17.2=py39_cu121
- tqdm=4.66.5=pyhd8ed1ab_0
- typing_extensions=4.11.0=py39h06a4308_0
- tzdata=2024b=h04d1e81_0
- urllib3=2.2.3=py39h06a4308_0
- wandb=0.18.5=py39h43652db_1
- werkzeug=3.0.3=py39h06a4308_0
- wheel=0.44.0=py39h06a4308_0
- wrapt=1.14.1=py39h5eee18b_0
- xz=5.4.6=h5eee18b_1
- yaml=0.2.5=h7b6447c_0
- zipp=3.20.2=py39h06a4308_0
- zlib=1.2.13=h5eee18b_1
- zstd=1.5.6=hc292b87_0
prefix: /vol/research/project_storage/miniconda3/envs/denetdm