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pytorch_monai.yml
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pytorch_monai.yml
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name: pytorch-monai
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- asttokens=2.0.5=pyhd3eb1b0_0
- backcall=0.2.0=pyhd3eb1b0_0
- blas=1.0=mkl
- bottleneck=1.3.5=py39h7deecbd_0
- brotlipy=0.7.0=py39h27cfd23_1003
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2022.9.24=ha878542_0
- certifi=2022.9.24=pyhd8ed1ab_0
- cffi=1.15.1=py39h74dc2b5_0
- charset-normalizer=2.0.4=pyhd3eb1b0_0
- cryptography=38.0.1=py39h9ce1e76_0
- cudatoolkit=11.6.0=hecad31d_10
- debugpy=1.5.1=py39h295c915_0
- decorator=5.1.1=pyhd3eb1b0_0
- entrypoints=0.4=py39h06a4308_0
- executing=0.8.3=pyhd3eb1b0_0
- ffmpeg=4.2.2=h20bf706_0
- fftw=3.3.9=h27cfd23_1
- freetype=2.12.1=h4a9f257_0
- giflib=5.2.1=h7b6447c_0
- gmp=6.2.1=h295c915_3
- gnutls=3.6.15=he1e5248_0
- idna=3.4=py39h06a4308_0
- intel-openmp=2021.4.0=h06a4308_3561
- ipykernel=6.15.2=py39h06a4308_0
- ipython=8.4.0=py39h06a4308_0
- jedi=0.18.1=py39h06a4308_1
- joblib=1.1.1=py39h06a4308_0
- jpeg=9e=h7f8727e_0
- jupyter_client=7.3.5=py39h06a4308_0
- jupyter_core=4.11.1=py39h06a4308_0
- lame=3.100=h7b6447c_0
- lcms2=2.12=h3be6417_0
- ld_impl_linux-64=2.38=h1181459_1
- lerc=3.0=h295c915_0
- libdeflate=1.8=h7f8727e_5
- libffi=3.3=he6710b0_2
- libgcc-ng=11.2.0=h1234567_1
- libgfortran-ng=11.2.0=h00389a5_1
- libgfortran5=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libidn2=2.3.2=h7f8727e_0
- libopus=1.3.1=h7b6447c_0
- libpng=1.6.37=hbc83047_0
- libsodium=1.0.18=h7b6447c_0
- libstdcxx-ng=11.2.0=h1234567_1
- libtasn1=4.16.0=h27cfd23_0
- libtiff=4.4.0=hecacb30_0
- libunistring=0.9.10=h27cfd23_0
- libvpx=1.7.0=h439df22_0
- libwebp=1.2.4=h11a3e52_0
- libwebp-base=1.2.4=h5eee18b_0
- lz4-c=1.9.3=h295c915_1
- matplotlib-inline=0.1.6=py39h06a4308_0
- mkl=2021.4.0=h06a4308_640
- mkl-service=2.4.0=py39h7f8727e_0
- mkl_fft=1.3.1=py39hd3c417c_0
- mkl_random=1.2.2=py39h51133e4_0
- monai=1.0.0=pyhd8ed1ab_0
- ncurses=6.3=h5eee18b_3
- nest-asyncio=1.5.5=py39h06a4308_0
- nettle=3.7.3=hbbd107a_1
- numexpr=2.8.3=py39h807cd23_0
- numpy=1.23.3=py39h14f4228_0
- numpy-base=1.23.3=py39h31eccc5_0
- openh264=2.1.1=h4ff587b_0
- openssl=1.1.1s=h7f8727e_0
- packaging=21.3=pyhd3eb1b0_0
- pandas=1.4.4=py39h6a678d5_0
- parso=0.8.3=pyhd3eb1b0_0
- pexpect=4.8.0=pyhd3eb1b0_3
- pickleshare=0.7.5=pyhd3eb1b0_1003
- pillow=9.2.0=py39hace64e9_1
- pip=22.2.2=py39h06a4308_0
- prompt-toolkit=3.0.20=pyhd3eb1b0_0
- psutil=5.9.0=py39h5eee18b_0
- ptyprocess=0.7.0=pyhd3eb1b0_2
- pure_eval=0.2.2=pyhd3eb1b0_0
- pycparser=2.21=pyhd3eb1b0_0
- pygments=2.11.2=pyhd3eb1b0_0
- pyopenssl=22.0.0=pyhd3eb1b0_0
- pyparsing=3.0.9=py39h06a4308_0
- pysocks=1.7.1=py39h06a4308_0
- python=3.9.13=haa1d7c7_2
- python-dateutil=2.8.2=pyhd3eb1b0_0
- python_abi=3.9=2_cp39
- pytorch=1.12.1=py3.9_cuda11.6_cudnn8.3.2_0
- pytorch-mutex=1.0=cuda
- pytz=2022.1=py39h06a4308_0
- pyzmq=23.2.0=py39h6a678d5_0
- readline=8.2=h5eee18b_0
- requests=2.28.1=py39h06a4308_0
- scikit-learn=1.1.2=py39h6a678d5_0
- scipy=1.9.1=py39h14f4228_0
- setuptools=65.5.0=py39h06a4308_0
- six=1.16.0=pyhd3eb1b0_1
- sqlite=3.39.3=h5082296_0
- stack_data=0.2.0=pyhd3eb1b0_0
- threadpoolctl=2.2.0=pyh0d69192_0
- tk=8.6.12=h1ccaba5_0
- torchmetrics=0.10.2=pyhd8ed1ab_0
- torchvision=0.13.1=py39_cu116
- tornado=6.2=py39h5eee18b_0
- traitlets=5.1.1=pyhd3eb1b0_0
- typing_extensions=4.3.0=py39h06a4308_0
- tzdata=2022e=h04d1e81_0
- urllib3=1.26.12=py39h06a4308_0
- wcwidth=0.2.5=pyhd3eb1b0_0
- wheel=0.37.1=pyhd3eb1b0_0
- x264=1!157.20191217=h7b6447c_0
- xz=5.2.6=h5eee18b_0
- zeromq=4.3.4=h2531618_0
- zlib=1.2.13=h5eee18b_0
- zstd=1.5.2=ha4553b6_0
- pip:
- contourpy==1.0.6
- cycler==0.11.0
- einops==0.6.0
- filelock==3.8.0
- fonttools==4.38.0
- huggingface-hub==0.10.1
- kiwisolver==1.4.4
- matplotlib==3.6.2
- pyyaml==6.0
- regex==2022.10.31
- tokenizers==0.12.1
- tqdm==4.64.1
- transformers==4.21.3
prefix: /home/rtabares/anaconda3/envs/pytorch-monai