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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:
- build
- cudatoolkit
- develop
- doc
- run
- test_python
test_cpp:
output: none
includes:
- cudatoolkit
test_python:
output: none
includes:
- cudatoolkit
- py_version
- test_python
checks:
output: none
includes:
- checks
- py_version
channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- conda-forge
- nvidia
dependencies:
build:
common:
- output_types: [conda, requirements]
packages:
- cmake>=3.23.1,!=3.25.0
- cuda-python >=11.7.1,<12.0
- cython>=0.29,<0.30
- ninja
- scikit-build>=0.13.1
- output_types: [conda]
packages:
- c-compiler
- cxx-compiler
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
checks:
common:
- output_types: [conda, requirements]
packages:
- pre-commit
develop:
common:
- output_types: [conda, requirements]
packages:
- clang=11.1.0
- output_types: [conda]
packages:
- clang-tools=11.1.0
cudatoolkit:
specific:
- output_types: conda
matrices:
- matrix:
cuda: "11.8"
packages:
- cudatoolkit=11.8
- cuda-profiler-api=11.8.86
- libcublas-dev=11.11.3.6
- libcublas=11.11.3.6
- 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
- cuda-profiler-api>=11.4.240,<=11.8.86 # use any `11.x` version since pkg is missing several CUDA/arch packages
- libcublas-dev>=11.7.3.1,<=11.7.4.6
- libcublas>=11.7.3.1,<=11.7.4.6
- 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
- cuda-profiler-api>=11.4.240,<=11.8.86 # use any `11.x` version since pkg is missing several CUDA/arch packages
- &libcublas_dev114 libcublas-dev>=11.5.2.43,<=11.6.5.2
- &libcublas114 libcublas>=11.5.2.43,<=11.6.5.2
- &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
- cuda-profiler-api>=11.4.240,<=11.8.86 # use any `11.x` version since pkg is missing several CUDA/arch packages
# 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
- *libcurand_dev114
- *libcurand114
- *libcusolver_dev114
- *libcusolver114
- *libcusparse_dev114
- *libcusparse114
doc:
common:
- output_types: [conda, requirements]
packages:
- breathe
- output_types: [requirements]
packages:
- sphinx_markdown_tables
- output_types: [conda]
packages:
- doxygen>=1.8.20
- sphinx-markdown-tables
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
run:
common:
- output_types: [conda]
packages:
- rmm=23.02
- dask>=2022.12.0
- distributed>=2022.12.0
- ucx>=1.13.0
- ucx-py=0.30
- ucx-proc=*=gpu
- libfaiss>=1.7.1=cuda*
- faiss-proc=*=cuda
- dask-cuda=23.02
test_python:
common:
- output_types: [conda, requirements]
packages:
- cupy
- pytest
- pytest-cov
- scikit-learn
- scipy