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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:
- build
- cudatoolkit
- develop
- doc
- notebooks
- py_version
- run
- test_python
test_cpp:
output: none
includes:
- cudatoolkit
- libidentify_stream_usage_build
test_python:
output: none
includes:
- cudatoolkit
- py_version
- test_python
test_java:
output: none
includes:
- cudatoolkit
- test_java
test_notebooks:
output: none
includes:
- notebooks
- py_version
checks:
output: none
includes:
- develop
- py_version
channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- pytorch
- conda-forge
- nvidia
dependencies:
build:
common:
- output_types: [conda, requirements]
packages:
- &cmake_ver cmake>=3.23.1,!=3.25.0
- cuda-python>=11.7.1,<12.0
- cython>=0.29,<0.30
- dlpack>=0.5,<0.6.0a0
- ninja
- pyarrow=10
- rmm=23.02.*
- scikit-build>=0.13.1
- output_types: conda
packages:
- libarrow=10
- c-compiler
- cxx-compiler
- librdkafka=1.7.0
- protobuf=4.21
specific:
- output_types: conda
matrices:
- matrix:
arch: x86_64
packages:
- &gcc_amd64 gcc_linux-64=9.*
- &sysroot_amd64 sysroot_linux-64==2.17
- matrix:
arch: aarch64
packages:
- &gcc_aarch64 gcc_linux-aarch64=9.*
- &sysroot_aarch64 sysroot_linux-aarch64==2.17
- output_types: conda
matrices:
- matrix:
arch: x86_64
cuda: "11.8"
packages:
- nvcc_linux-64=11.8
- matrix:
arch: aarch64
cuda: "11.8"
packages:
- nvcc_linux-aarch64=11.8
cudatoolkit:
specific:
- output_types: conda
matrices:
- matrix:
cuda: "11.2"
packages:
- cudatoolkit=11.2
- matrix:
cuda: "11.4"
packages:
- cudatoolkit=11.4
- matrix:
cuda: "11.5"
packages:
- cudatoolkit=11.5
- matrix:
cuda: "11.8"
packages:
- cudatoolkit=11.8
develop:
common:
- output_types: [conda, requirements]
packages:
- pre-commit
- output_types: conda
packages:
- doxygen=1.8.20 # pre-commit hook needs a specific version.
doc:
common:
- output_types: [conda, requirements]
packages:
- myst-nb
- nbsphinx
- numpydoc
- pandoc<=2.0.0 # We should check and fix all "<=" pinnings
- pydata-sphinx-theme
- sphinx
- sphinx-autobuild
- sphinx-copybutton
- sphinx-markdown-tables
- sphinxcontrib-websupport
libidentify_stream_usage_build:
common:
- output_types: conda
packages:
- *cmake_ver
specific:
- output_types: conda
matrices:
- matrix:
arch: x86_64
packages:
- *gcc_amd64
- *sysroot_amd64
- matrix:
arch: aarch64
packages:
- *gcc_aarch64
- *sysroot_aarch64
- output_types: conda
matrices:
- matrix:
arch: x86_64
cuda: "11.2"
packages:
- nvcc_linux-64=11.2
- matrix:
arch: aarch64
cuda: "11.2"
packages:
- nvcc_linux-aarch64=11.2
- matrix:
arch: x86_64
cuda: "11.4"
packages:
- nvcc_linux-64=11.4
- matrix:
arch: aarch64
cuda: "11.4"
packages:
- nvcc_linux-aarch64=11.4
- matrix:
arch: x86_64
cuda: "11.5"
packages:
- nvcc_linux-64=11.5
- matrix:
arch: aarch64
cuda: "11.5"
packages:
- nvcc_linux-aarch64=11.5
- matrix:
arch: x86_64
cuda: "11.8"
packages:
- nvcc_linux-64=11.8
- matrix:
arch: aarch64
cuda: "11.8"
packages:
- nvcc_linux-aarch64=11.8
notebooks:
common:
- output_types: [conda, requirements]
packages:
- ipython
- notebook
- scipy
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, requirements]
packages:
- cachetools
- dask>=2022.12.0
- distributed>=2022.12.0
- fsspec>=0.6.0
- numba>=0.56.2
- numpy
- nvtx>=0.2.1
- packaging
- pandas>=1.0,<1.6.0dev0
- python-confluent-kafka=1.7.0
- streamz
- typing_extensions
- output_types: conda
packages:
- cubinlinker
- cupy>=9.5.0,<12.0.0a0
- pip
- pip:
- git+https://github.com/python-streamz/streamz.git@master
- ptxcompiler
- rmm=23.02.*
- output_types: requirements
packages:
# pip recognizes the index as a global option for the requirements.txt file
# This index is needed for rmm, cubinlinker, ptxcompiler.
- --extra-index-url=https://pypi.ngc.nvidia.com
- cubinlinker-cu11
- git+https://github.com/python-streamz/streamz.git@master
- ptxcompiler-cu11
- rmm-cu11=23.02.*
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.
test_java:
common:
- output_types: conda
packages:
- *cmake_ver
- maven
- openjdk=8.*
specific:
- output_types: conda
matrices:
- matrix:
cuda: "11.5"
packages:
- cuda-nvtx=11.5
- matrix:
cuda: "11.8"
packages:
- cuda-nvtx=11.8
test_python:
common:
- output_types: [conda, requirements]
packages:
- aiobotocore>=2.2.0
- boto3>=1.21.21
- botocore>=1.24.21
- dask-cuda=23.02.*
- fastavro>=0.22.9
- hypothesis
- mimesis>=4.1.0
- moto>=4.0.8
- pyorc
- pytest
- pytest-benchmark
- pytest-cases
- pytest-cov
- pytest-xdist
- python-snappy>=0.6.0
- s3fs>=2022.3.0
- scipy
specific:
- output_types: conda
matrices:
- matrix:
arch: x86_64
packages:
# Currently, CUDA builds of pytorch do not exist for aarch64. We require
# version <1.12.0 because newer versions use nvidia::cuda-toolkit.
- pytorch<1.12.0
# We only install these on x86_64 to avoid pulling pytorch as a
# dependency of transformers.
- tokenizers==0.13.1
- transformers==4.24.0
- matrix:
packages: