Skip to content

Instantly share code, notes, and snippets.

@jeanfeydy
Created March 8, 2021 15:25
Show Gist options
  • Save jeanfeydy/d9395912e4d8bf1c0340bc93f78ea4bd to your computer and use it in GitHub Desktop.
Save jeanfeydy/d9395912e4d8bf1c0340bc93f78ea4bd to your computer and use it in GitHub Desktop.
An example of conda environment to run dMaSIF.
name: rapids-0.16
channels:
- anaconda
- rapidsai
- nvidia
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=conda_forge
- _openmp_mutex=4.5=1_gnu
- abseil-cpp=20200225.2=he1b5a44_2
- argon2-cffi=20.1.0=py37h4abf009_2
- arrow-cpp=1.0.1=py37h9631afc_16_cuda
- arrow-cpp-proc=2.0.0=cuda
- async_generator=1.10=py_0
- attrs=20.3.0=pyhd3deb0d_0
- aws-c-common=0.4.59=h36c2ea0_1
- aws-c-event-stream=0.1.6=had2084c_6
- aws-checksums=0.1.10=h4e93380_0
- aws-sdk-cpp=1.8.70=h57dc084_1
- backcall=0.2.0=py_0
- bleach=3.2.1=pyh9f0ad1d_0
- bokeh=2.2.3=py37hc8dfbb8_0
- boost-cpp=1.72.0=h9359b55_3
- brotli=1.0.9=he1b5a44_3
- brotlipy=0.7.0=py37hb5d75c8_1001
- bzip2=1.0.8=h516909a_3
- c-ares=1.16.1=h516909a_3
- ca-certificates=2020.12.8=h06a4308_0
- certifi=2020.12.5=py37h06a4308_0
- cffi=1.14.4=py37h11fe52a_0
- chardet=3.0.4=py37he5f6b98_1008
- click=7.1.2=pyh9f0ad1d_0
- cloudpickle=1.6.0=py_0
- colorcet=2.0.1=py_0
- cryptography=3.2.1=py37hc72a4ac_0
- cudatoolkit=11.0.221=h6bb024c_0
- cudf=0.16.0=cuda_11.0_py37_g2b8298f566_0
- cudnn=8.0.0=cuda11.0_0
- cuml=0.16.0=cuda11.0_py37_gbbe737348_0
- cupy=7.8.0=py37h0ce7dbb_0
- cycler=0.10.0=py_2
- cytoolz=0.11.0=py37h8f50634_1
- dask=2.30.0=py_0
- dask-core=2.30.0=py_0
- dask-cudf=0.16.0=py37_g2b8298f566_0
- decorator=4.4.2=py_0
- defusedxml=0.6.0=py_0
- distributed=2.30.1=py37h89c1867_0
- dlpack=0.3=he1b5a44_1
- entrypoints=0.3=pyhd8ed1ab_1003
- faiss=1.6.3=py37h88184f0_1_cuda
- faiss-gpu=1.6.3=py37_1
- faiss-proc=1.0.0=cuda
- fastavro=1.1.1=py37h4abf009_0
- fastrlock=0.5=py37h3340039_1
- freetype=2.10.4=h7ca028e_0
- fsspec=0.8.4=py_0
- gflags=2.2.2=he1b5a44_1004
- glog=0.4.0=h49b9bf7_3
- grpc-cpp=1.33.2=h1870a98_1
- heapdict=1.0.1=py_0
- icu=67.1=he1b5a44_0
- idna=2.10=pyh9f0ad1d_0
- importlib_metadata=3.1.0=hd8ed1ab_0
- ipydatawidgets=4.1.0=pyh9f0ad1d_0
- ipykernel=5.3.4=py37h5ca1d4c_0
- ipympl=0.5.8=pyh9f0ad1d_0
- ipython=7.19.0=py37hb070fc8_0
- ipython_genutils=0.2.0=py37_0
- ipywidgets=7.5.1=pyh9f0ad1d_1
- itk=5.1.1=py37hc8dfbb8_3
- itkwidgets=0.32.0=py37hc8dfbb8_0
- jedi=0.17.2=py37_0
- jinja2=2.11.2=pyh9f0ad1d_0
- joblib=0.17.0=py_0
- jpeg=9d=h36c2ea0_0
- json5=0.9.5=pyh9f0ad1d_0
- jsonschema=3.2.0=py_2
- jupyter_client=6.1.7=py_0
- jupyter_core=4.6.3=py37_0
- jupyterlab=2.2.9=py_0
- jupyterlab_pygments=0.1.2=pyh9f0ad1d_0
- jupyterlab_server=1.2.0=py_0
- kiwisolver=1.3.1=py37hc928c03_0
- krb5=1.17.2=h926e7f8_0
- lcms2=2.11=hcbb858e_1
- ld_impl_linux-64=2.35.1=hed1e6ac_0
- libblas=3.8.0=17_openblas
- libcblas=3.8.0=17_openblas
- libcudf=0.16.0=cuda11.0_g2b8298f566_0
- libcuml=0.16.0=cuda11.0_gbbe737348_0
- libcumlprims=0.16.0=cuda11.0_g1c28023_0
- libcurl=7.71.1=hcdd3856_8
- libedit=3.1.20191231=he28a2e2_2
- libev=4.33=h516909a_1
- libevent=2.1.10=hcdb4288_3
- libfaiss=1.6.3=h328c4c8_1_cuda
- libffi=3.2.1=he1b5a44_1007
- libgcc-ng=9.3.0=h5dbcf3e_17
- libgfortran-ng=9.3.0=he4bcb1c_17
- libgfortran5=9.3.0=he4bcb1c_17
- libgomp=9.3.0=h5dbcf3e_17
- libhwloc=2.3.0=h3c4fd83_0
- libiconv=1.16=h516909a_0
- liblapack=3.8.0=17_openblas
- libllvm10=10.0.1=he513fc3_3
- libnghttp2=1.41.0=h8cfc5f6_2
- libopenblas=0.3.10=pthreads_h4812303_5
- libpng=1.6.37=h21135ba_2
- libprotobuf=3.13.0.1=h8b12597_0
- librmm=0.16.0=cuda11.0_g1bcc7b1_0
- libsodium=1.0.18=h7b6447c_0
- libssh2=1.9.0=hab1572f_5
- libstdcxx-ng=9.3.0=h2ae2ef3_17
- libthrift=0.13.0=h5aa387f_6
- libtiff=4.1.0=h4f3a223_6
- libutf8proc=2.5.0=h516909a_2
- libwebp-base=1.1.0=h36c2ea0_3
- libxml2=2.9.10=h68273f3_2
- llvmlite=0.34.0=py37h5202443_2
- locket=0.2.0=py_2
- lz4-c=1.9.2=he1b5a44_3
- markupsafe=1.1.1=py37hb5d75c8_2
- matplotlib-base=3.3.3=py37h4f6019d_0
- mistune=0.8.4=py37h4abf009_1002
- msgpack-python=1.0.0=py37h99015e2_2
- nbclient=0.5.1=py_0
- nbconvert=6.0.7=py37h89c1867_3
- nbformat=5.0.8=py_0
- nccl=2.7.8.1=h4962215_100
- ncurses=6.2=h58526e2_4
- nest-asyncio=1.4.3=pyhd8ed1ab_0
- notebook=6.1.5=py37h89c1867_0
- numba=0.51.2=py37h9fdb41a_0
- numpy=1.19.4=py37h7e9df27_1
- olefile=0.46=pyh9f0ad1d_1
- openssl=1.1.1i=h27cfd23_0
- orc=1.6.5=hd3605a7_0
- packaging=20.4=pyh9f0ad1d_0
- pandas=1.1.4=py37h10a2094_0
- pandoc=2.11.2=h36c2ea0_0
- pandocfilters=1.4.2=py_1
- param=1.10.0=py_0
- parquet-cpp=1.5.1=2
- parso=0.7.0=py_0
- partd=1.1.0=py_0
- pexpect=4.8.0=pyhd3eb1b0_3
- pickleshare=0.7.5=py37_1001
- pillow=8.0.1=py37h63a5d19_0
- pixman-cos6-x86_64=0.32.8=h7062e45_0
- prometheus_client=0.9.0=pyhd3deb0d_0
- prompt-toolkit=3.0.8=py_0
- psutil=5.7.3=py37hb5d75c8_0
- ptyprocess=0.6.0=pyhd3eb1b0_2
- pyarrow=1.0.1=py37hbeecfa9_16_cuda
- pycparser=2.20=pyh9f0ad1d_2
- pyct=0.4.6=py_0
- pyct-core=0.4.6=py_0
- pygments=2.7.2=pyhd3eb1b0_0
- pyopenssl=19.1.0=py_1
- pyparsing=2.4.7=pyh9f0ad1d_0
- pyrsistent=0.17.3=py37h4abf009_1
- pysocks=1.7.1=py37he5f6b98_2
- python=3.7.8=h8bdb77d_2_cpython
- python-dateutil=2.8.1=py_0
- python_abi=3.7=1_cp37m
- pytz=2020.4=pyhd8ed1ab_0
- pyyaml=5.3.1=py37hb5d75c8_1
- pyzmq=19.0.2=py37he6710b0_1
- re2=2020.11.01=h58526e2_0
- readline=8.0=he28a2e2_2
- requests=2.25.0=pyhd3deb0d_0
- rmm=0.16.0=cuda_11.0_py37_g1bcc7b1_0
- scipy=1.5.3=py37h14a347d_0
- send2trash=1.5.0=py_0
- setuptools=49.6.0=py37he5f6b98_2
- six=1.15.0=pyh9f0ad1d_0
- snappy=1.1.8=he1b5a44_3
- sortedcontainers=2.3.0=pyhd8ed1ab_0
- spdlog=1.7.0=hc9558a2_2
- sqlite=3.33.0=h4cf870e_1
- tblib=1.6.0=py_0
- terminado=0.9.1=py37h89c1867_1
- testpath=0.4.4=py_0
- tk=8.6.10=hed695b0_1
- toolz=0.11.1=py_0
- tornado=6.1=py37h4abf009_0
- traitlets=5.0.5=py_0
- traittypes=0.2.1=pyh9f0ad1d_2
- treelite=0.93=py37h745909e_3
- typing_extensions=3.7.4.3=py_0
- ucx=1.8.1+g6b29558=cuda11.0_0
- ucx-proc=1.0.0=gpu
- ucx-py=0.16.0=py37_g6b29558_0
- wcwidth=0.2.5=py_0
- webencodings=0.5.1=py_1
- wheel=0.35.1=pyh9f0ad1d_0
- widgetsnbextension=3.5.1=py37h89c1867_4
- xorg-x11-server-common-cos6-x86_64=1.17.4=he6f580c_0
- xorg-x11-server-xvfb-cos6-x86_64=1.17.4=h5c27f9d_0
- xvfbwrapper=0.2.9=py37hc8dfbb8_1003
- xz=5.2.5=h516909a_1
- yaml=0.2.5=h516909a_0
- zeromq=4.3.3=he6710b0_3
- zict=2.0.0=py_0
- zipp=3.4.0=py_0
- zlib=1.2.11=h516909a_1010
- zstandard=0.14.0=py37h3340039_3
- zstd=1.4.5=h6597ccf_2
- pip:
- absl-py==0.11.0
- alabaster==0.7.12
- appdirs==1.4.4
- ase==3.20.1
- astunparse==1.6.3
- babel==2.9.0
- black==20.8b1
- blosc==1.10.2
- breathe==4.24.0
- cached-property==1.5.2
- cachetools==4.1.1
- cmake==3.18.4.post1
- commonmark==0.9.1
- cupy-cuda100==8.1.0
- cython==0.29.21
- dataclasses==0.6
- dill==0.3.3
- dipy==1.3.0
- docutils==0.16
- easyprocess==0.3
- fast-histogram==0.9
- filelock==3.0.12
- flatbuffers==1.12
- future==0.18.2
- gcc7==0.0.7
- gdown==3.12.2
- geomloss==0.2.3
- google-auth==1.23.0
- google-auth-oauthlib==0.4.2
- googledrivedownloader==0.4
- gputil==1.4.0
- gpytorch==1.2.1
- grpcio==1.33.2
- h5py==3.1.0
- hdbscan==0.8.26
- humanize==3.1.0
- imageio==2.9.0
- imagesize==1.2.0
- importlib-metadata==2.0.0
- isodate==0.6.0
- itk-core==5.1.1.post1
- itk-filtering==5.1.1.post1
- itk-numerics==5.1.1.post1
- itk-registration==5.1.1.post1
- itk-segmentation==5.1.1.post1
- jax==0.2.7
- jaxlib==0.1.57+cuda102
- jsonpatch==1.28
- jsonpointer==2.0
- markdown==3.3.3
- meshio==4.3.5
- mpl-scatter-density==0.7
- multiprocess==0.70.11.1
- multiprocessing-on-dill==3.5.0a4
- mypy-extensions==0.4.3
- networkx==2.5
- nibabel==3.2.0
- oauthlib==3.1.0
- opencv-python==4.4.0.46
- opt-einsum==3.3.0
- parsley==1.3
- pathspec==0.8.1
- piglet==1.0.0
- piglet-templates==1.0.0
- pip==20.3.3
- plotly==4.13.0
- plyfile==0.7.2
- pot==0.7.0
- protobuf==3.14.0
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- pykeops==1.4.1
- pynndescent==0.5.1
- python-deprecated==1.1.0
- python-louvain==0.14
- pyvirtualdisplay==1.3.2
- pyvista==0.27.2
- pyvtk==0.5.18
- pywavelets==1.1.1
- rdflib==5.0.0
- recommonmark==0.6.0
- regex==2020.11.13
- requests-oauthlib==1.3.0
- retrying==1.3.3
- rsa==4.6
- scikit-fmm==2021.1.21
- scikit-image==0.17.2
- scikit-learn==0.23.2
- scooby==0.5.6
- seaborn==0.11.1
- si-prefix==1.2.2
- simpleitk==1.2.4
- snowballstemmer==2.0.0
- sphinx==3.3.1
- sphinx-gallery==0.8.1
- sphinx-rtd-theme==0.5.0
- sphinxcontrib-applehelp==1.0.2
- sphinxcontrib-devhelp==1.0.2
- sphinxcontrib-htmlhelp==1.0.3
- sphinxcontrib-httpdomain==1.7.0
- sphinxcontrib-jsmath==1.0.1
- sphinxcontrib-qthelp==1.0.3
- sphinxcontrib-serializinghtml==1.1.4
- tensorboard==2.4.0
- tensorboard-plugin-wit==1.7.0
- threadpoolctl==2.1.0
- tifffile==2020.11.18
- toml==0.10.2
- torch==1.7.0
- torch-cluster==1.5.8
- torch-geometric==1.6.3
- torch-scatter==2.0.5
- torch-sparse==0.6.8
- torch-spline-conv==1.2.0
- torchdiffeq==0.2.1
- torchfile==0.1.0
- torchio==0.17.53
- torchvision==0.8.1
- tqdm==4.52.0
- treelite-runtime==0.93
- typed-ast==1.4.1
- umap-learn==0.5.0
- urllib3==1.26.2
- visdom==0.1.8.9
- vtk==9.0.1
- websocket-client==0.57.0
- werkzeug==1.0.1
prefix: /vol/bitbucket/jfeydy/miniconda3/envs/rapids-0.16
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment