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name: Medical-Split-Learning
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=2_kmp_llvm
- blas=1.0=mkl
- blosc=1.21.0=h9c3ff4c_0
- bottleneck=1.3.4=py39hd257fcd_1
- brotli=1.0.9=h166bdaf_7
- brotli-bin=1.0.9=h166bdaf_7
- brotlipy=0.7.0=py39hb9d737c_1004
- brunsli=0.1=h9c3ff4c_0
- bzip2=1.0.8=h7f98852_4
- c-ares=1.18.1=h7f98852_0
- ca-certificates=2022.6.15=ha878542_0
- certifi=2022.6.15=py39hf3d152e_0
- cffi=1.15.0=py39h4bc2ebd_0
- cfitsio=3.470=hb418390_7
- charls=2.2.0=h9c3ff4c_0
- charset-normalizer=2.0.12=pyhd8ed1ab_0
- click=8.1.3=py39hf3d152e_0
- cloudpickle=2.0.0=pyhd8ed1ab_0
- colorama=0.4.4=pyh9f0ad1d_0
- cryptography=36.0.2=py39hd97740a_1
- cudatoolkit=10.2.89=h713d32c_10
- cycler=0.10.0=py_2
- cytoolz=0.11.0=py39h3811e60_3
- dask-core=2022.2.1=pyhd8ed1ab_0
- dbus=1.13.6=h5008d03_3
- docker-pycreds=0.4.0=py_0
- expat=2.4.8=h27087fc_0
- ffmpeg=4.3=hf484d3e_0
- fontconfig=2.14.0=h8e229c2_0
- fonttools=4.25.0=pyhd3eb1b0_0
- freetype=2.10.4=h0708190_1
- fsspec=2022.2.0=pyhd8ed1ab_0
- gettext=0.19.8.1=h73d1719_1008
- giflib=5.2.1=h36c2ea0_2
- gitdb=4.0.9=pyhd8ed1ab_0
- gitpython=3.1.27=pyhd8ed1ab_0
- glib=2.70.2=h780b84a_4
- glib-tools=2.70.2=h780b84a_4
- gmp=6.2.1=h58526e2_0
- gnutls=3.6.13=h85f3911_1
- gst-plugins-base=1.14.0=hbbd80ab_1
- gstreamer=1.14.0=h28cd5cc_2
- icu=58.2=hf484d3e_1000
- idna=3.3=pyhd8ed1ab_0
- imagecodecs=2021.8.26=py39h4cda21f_0
- imageio=2.9.0=py_0
- intel-openmp=2021.3.0=h06a4308_3350
- joblib=1.1.0=pyhd8ed1ab_0
- jpeg=9d=h36c2ea0_0
- jxrlib=1.1=h7f98852_2
- keyutils=1.6.1=h166bdaf_0
- kiwisolver=1.3.1=py39h1a9c180_1
- krb5=1.19.3=h3790be6_0
- lame=3.100=h7f98852_1001
- lcms2=2.12=hddcbb42_0
- ld_impl_linux-64=2.36.1=hea4e1c9_2
- lerc=3.0=h9c3ff4c_0
- libaec=1.0.4=h9c3ff4c_1
- libblas=3.9.0=11_linux64_mkl
- libbrotlicommon=1.0.9=h166bdaf_7
- libbrotlidec=1.0.9=h166bdaf_7
- libbrotlienc=1.0.9=h166bdaf_7
- libcblas=3.9.0=11_linux64_mkl
- libcurl=7.83.0=h7bff187_0
- libdeflate=1.8=h7f98852_0
- libedit=3.1.20191231=he28a2e2_2
- libev=4.33=h516909a_1
- libffi=3.4.2=h7f98852_5
- libgcc-ng=12.1.0=h8d9b700_16
- libgfortran-ng=12.1.0=h69a702a_16
- libgfortran5=12.1.0=hdcd56e2_16
- libglib=2.70.2=h174f98d_4
- libiconv=1.16=h516909a_0
- liblapack=3.9.0=11_linux64_mkl
- libnghttp2=1.47.0=h727a467_0
- libpng=1.6.37=h21135ba_2
- libprotobuf=3.19.1=h780b84a_0
- libssh2=1.10.0=ha56f1ee_2
- libstdcxx-ng=12.1.0=ha89aaad_16
- libtiff=4.2.0=hbd63e13_2
- libuuid=2.32.1=h7f98852_1000
- libuv=1.40.0=h7f98852_0
- libwebp=1.2.0=h3452ae3_0
- libwebp-base=1.2.0=h7f98852_2
- libxcb=1.13=h7f98852_1004
- libxml2=2.9.9=h13577e0_2
- libzlib=1.2.11=h166bdaf_1014
- libzopfli=1.0.3=h9c3ff4c_0
- llvm-openmp=14.0.4=he0ac6c6_0
- locket=0.2.1=py39h06a4308_2
- lz4-c=1.9.3=h9c3ff4c_1
- matplotlib=3.4.3=py39hf3d152e_2
- matplotlib-base=3.4.3=py39h2fa2bec_2
- mkl=2021.3.0=h726a3e6_557
- mkl-service=2.4.0=py39h3811e60_0
- mkl_fft=1.3.1=py39hd3c417c_0
- mkl_random=1.2.2=py39hde0f152_0
- munkres=1.1.4=pyh9f0ad1d_0
- ncurses=6.3=h27087fc_1
- nettle=3.6=he412f7d_0
- networkx=2.7.1=pyhd8ed1ab_0
- nose=1.3.7=py_1006
- numexpr=2.7.3=py39hde0f152_1
- numpy=1.21.2=py39h20f2e39_0
- numpy-base=1.21.2=py39h79a1101_0
- olefile=0.46=pyh9f0ad1d_1
- openh264=2.1.1=h780b84a_0
- openjpeg=2.4.0=hb52868f_1
- openssl=1.1.1p=h166bdaf_0
- packaging=21.3=pyhd8ed1ab_0
- pandas=1.4.2=py39h1832856_2
- partd=1.2.0=pyhd8ed1ab_0
- pathtools=0.1.2=py_1
- patsy=0.5.2=pyhd8ed1ab_0
- pcre=8.45=h9c3ff4c_0
- pillow=8.4.0=py39h5aabda8_0
- pip=21.2.4=pyhd8ed1ab_0
- promise=2.3=py39hf3d152e_6
- protobuf=3.19.1=py39he80948d_1
- psutil=5.9.0=py39hb9d737c_1
- pthread-stubs=0.4=h36c2ea0_1001
- pycparser=2.21=pyhd8ed1ab_0
- pyopenssl=22.0.0=pyhd8ed1ab_0
- pyparsing=2.4.7=pyhd8ed1ab_1
- pyqt=5.9.2=py39h2531618_6
- pysocks=1.7.1=py39hf3d152e_5
- python=3.9.7=hb7a2778_3_cpython
- python-dateutil=2.8.2=pyhd8ed1ab_0
- python_abi=3.9=2_cp39
- pytorch=1.10.0=py3.9_cuda10.2_cudnn7.6.5_0
- pytorch-mutex=1.0=cuda
- pytz=2021.3=pyhd8ed1ab_0
- pywavelets=1.3.0=py39hd257fcd_1
- pyyaml=6.0=py39hb9d737c_4
- qt=5.9.7=h5867ecd_1
- readline=8.1.2=h0f457ee_0
- requests=2.27.1=pyhd8ed1ab_0
- scikit-image=0.19.2=py39hde0f152_0
- scikit-learn=1.0.2=py39h4dfa638_0
- scipy=1.7.1=py39hee8e79c_0
- seaborn=0.11.2=hd8ed1ab_0
- seaborn-base=0.11.2=pyhd8ed1ab_0
- sentry-sdk=1.5.11=pyhd8ed1ab_0
- setproctitle=1.2.3=py39hb9d737c_0
- setuptools=58.0.4=py39hf3d152e_2
- shortuuid=1.0.8=py39hf3d152e_1
- sip=4.19.13=py39h295c915_0
- six=1.16.0=pyh6c4a22f_0
- smmap=3.0.5=pyh44b312d_0
- snappy=1.1.9=hbd366e4_1
- sqlite=3.36.0=h9cd32fc_2
- statsmodels=0.13.2=py39hd257fcd_0
- tbb=2021.5.0=h924138e_1
- threadpoolctl=2.2.0=pyh8a188c0_0
- tifffile=2021.7.2=pyhd8ed1ab_0
- tk=8.6.11=h27826a3_1
- toolz=0.11.2=pyhd8ed1ab_0
- torchaudio=0.10.0=py39_cu102
- torchmetrics=0.9.2=pyhd8ed1ab_0
- torchvision=0.11.1=py39_cu102
- tornado=6.1=py39hb9d737c_3
- tqdm=4.64.0=pyhd8ed1ab_0
- typing_extensions=3.10.0.2=pyha770c72_0
- tzdata=2021a=he74cb21_1
- urllib3=1.26.9=pyhd8ed1ab_0
- wandb=0.12.14=pyhd8ed1ab_0
- wfdb=3.4.1=pyhd8ed1ab_0
- wheel=0.37.0=pyhd8ed1ab_1
- xorg-libxau=1.0.9=h7f98852_0
- xorg-libxdmcp=1.1.3=h7f98852_0
- xz=5.2.5=h516909a_1
- yaml=0.2.5=h7f98852_2
- zfp=0.5.5=h9c3ff4c_8
- zlib=1.2.11=h166bdaf_1014
- zstd=1.4.9=ha95c52a_0
- pip:
- pytorch-nemo==0.0.8
- thop==0.1.0-2207010342
prefix: /home/marian/anaconda3/envs/Medical-Split-Learning