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dependencies.yaml
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dependencies.yaml
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# Dependency list for https://github.com/rapidsai/dependency-file-generator
files:
all:
output: conda
matrix:
cuda: ["11.8"]
arch: [x86_64]
includes:
- common_build
- cpp_run
- cudatoolkit
- docs
- py_build
- py_run
- py_version
- test_python
cpp_all:
output: conda
matrix:
cuda: ["11.8"]
arch: [x86_64]
includes:
- common_build
- cpp_run
- cudatoolkit
checks:
output: none
includes:
- checks
- py_version
docs:
output: none
includes:
- cudatoolkit
- docs
- py_version
test_cpp:
output: none
includes:
- cudatoolkit
test_python:
output: none
includes:
- cudatoolkit
- py_version
- test_python
test_notebooks:
output: none
includes:
- cudatoolkit
- py_run
- py_version
- test_notebooks
channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- conda-forge
- nvidia
dependencies:
checks:
common:
- output_types: [conda, requirements]
packages:
- pre-commit
common_build:
common:
- output_types: [conda, requirements]
packages:
- cmake>=3.23.1,!=3.25.0
- ninja
- output_types: conda
packages:
- c-compiler
- cxx-compiler
- libcumlprims=23.04.*
- libraft-headers=23.04.*
- libraft-distance=23.04.*
- libraft-nn=23.04.*
- rmm=23.04.*
specific:
- output_types: conda
matrices:
- matrix:
arch: x86_64
packages:
- gcc_linux-64=9.*
- sysroot_linux-64==2.17
- matrix:
arch: aarch64
packages:
- gcc_linux-aarch64=9.*
- sysroot_linux-aarch64==2.17
py_build:
common:
- output_types: [conda, requirements]
packages:
- cuda-python>=11.7.1,<12.0
- scikit-build>=0.13.1
- cython>=0.29,<0.30
- treelite=3.1.0
- output_types: conda
packages:
- cudf=23.04.*
- raft-dask=23.04.*
- pylibraft=23.04.*
py_run:
common:
- output_types: [conda, requirements]
packages:
- dask>=2023.1.1
- distributed>=2023.1.1
- joblib>=0.11
- output_types: conda
packages:
- cupy>=7.8.0,<12.0.0a0
- dask-cuda=23.04.*
- dask-cudf=23.04.*
specific:
- output_types: requirements
matrices:
- matrix:
arch: x86_64
packages:
- cupy-cuda115>=9.5.0,<12.0.0a0 # TODO: This might change to cupy-cuda11x?
- matrix:
arch: aarch64
packages:
- cupy-cuda11x -f https://pip.cupy.dev/aarch64 # TODO: Verify that this works.
cpp_run:
common:
- output_types: conda
packages:
- libfaiss>=1.7.1
- faiss-proc=*=cuda
cudatoolkit:
specific:
- output_types: conda
matrices:
- matrix:
cuda: "11.8"
packages:
- cudatoolkit=11.8
- libcublas-dev=11.11.3.6
- libcublas=11.11.3.6
- libcufft-dev=10.9.0.58
- libcufft=10.9.0.58
- libcurand-dev=10.3.0.86
- libcurand=10.3.0.86
- libcusolver-dev=11.4.1.48
- libcusolver=11.4.1.48
- libcusparse-dev=11.7.5.86
- libcusparse=11.7.5.86
- matrix:
cuda: "11.5"
packages:
- cudatoolkit=11.5
- libcublas-dev>=11.7.3.1,<=11.7.4.6
- libcublas>=11.7.3.1,<=11.7.4.6
- libcufft-dev>=10.6.0.54,<=10.6.0.107
- libcufft>=10.6.0.54,<=10.6.0.107
- libcurand-dev>=10.2.6.48,<=10.2.7.107
- libcurand>=10.2.6.48,<=10.2.7.107
- libcusolver-dev>=11.2.1.48,<=11.3.2.107
- libcusolver>=11.2.1.48,<=11.3.2.107
- libcusparse-dev>=11.7.0.31,<=11.7.0.107
- libcusparse>=11.7.0.31,<=11.7.0.107
- matrix:
cuda: "11.4"
packages:
- cudatoolkit=11.4
- &libcublas_dev114 libcublas-dev>=11.5.2.43,<=11.6.5.2
- &libcublas114 libcublas>=11.5.2.43,<=11.6.5.2
- &libcufft_dev114 libcufft-dev>=10.5.0.43,<=10.5.2.100
- &libcufft114 libcufft>=10.5.0.43,<=10.5.2.100
- &libcurand_dev114 libcurand-dev>=10.2.5.43,<=10.2.5.120
- &libcurand114 libcurand>=10.2.5.43,<=10.2.5.120
- &libcusolver_dev114 libcusolver-dev>=11.2.0.43,<=11.2.0.120
- &libcusolver114 libcusolver>=11.2.0.43,<=11.2.0.120
- &libcusparse_dev114 libcusparse-dev>=11.6.0.43,<=11.6.0.120
- &libcusparse114 libcusparse>=11.6.0.43,<=11.6.0.120
- matrix:
cuda: "11.2"
packages:
- cudatoolkit=11.2
# The NVIDIA channel doesn't publish pkgs older than 11.4 for these libs,
# so 11.2 uses 11.4 packages (the oldest available).
- *libcublas_dev114
- *libcublas114
- *libcufft_dev114
- *libcufft114
- *libcurand_dev114
- *libcurand114
- *libcusolver_dev114
- *libcusolver114
- *libcusparse_dev114
- *libcusparse114
docs:
common:
- output_types: [conda, requirements]
packages:
- graphviz
- ipython
- ipykernel
- nbsphinx
- numpydoc
- pydata-sphinx-theme
- recommonmark
- &scikit_learn scikit-learn=1.2
- sphinx<6
- sphinx-copybutton
- sphinx-markdown-tables
- output_types: conda
packages:
- doxygen=1.8.20 # pre-commit hook needs a specific version.
py_version:
specific:
- output_types: conda
matrices:
- matrix:
py: "3.8"
packages:
- python=3.8
- matrix:
py: "3.9"
packages:
- python=3.9
- matrix:
py: "3.10"
packages:
- python=3.10
- matrix:
packages:
- python>=3.8,<3.11
test_python:
common:
- output_types: [conda, requirements]
packages:
- cython>=0.29,<0.30
- dask-ml
- hdbscan
- hypothesis>=6.0,<7
- nltk
- numpydoc
- pytest
- pytest-cases
- pytest-cov
- pytest-xdist
- *scikit_learn
- seaborn
- sparse
- statsmodels
- umap-learn
- output_types: conda
packages:
- pip
- pip:
# TODO: Figure out what to do with this dependency
# since the repo is now archived.
- git+https://github.com/dask/dask-glm@main
test_notebooks:
common:
- output_types: [conda, requirements]
packages:
- jupyter
- matplotlib
- numpy
- pandas
- *scikit_learn