Using CUB package (instead of vendoring)

About cupy-split-feedstock

Feedstock license: BSD-3-Clause

About cupy-split

Home: https://cupy.dev/

Package license: MIT

Summary: CuPy: NumPy & SciPy for GPU

Development: https://github.com/cupy/cupy/

Documentation: https://docs.cupy.dev/en/stable/

About cupy-core

Home: https://cupy.dev/

Package license: MIT

Summary: CuPy: NumPy & SciPy for GPU

Development: https://github.com/cupy/cupy/

Documentation: https://docs.cupy.dev/en/stable/

This is the CuPy core package without any dependencies on the CUDA libraries, suitable for deployment under resource constraint. You need to install the needed dependencies explicitly.

Current build status

Azure

Variant	Status
linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.10.____cpython
linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.11.____cpython
linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.12.____cpython
linux_64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.9.____cpython
linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.10.____cpython
linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.11.____cpython
linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.12.____cpython
linux_64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.9.____cpython
linux_aarch64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.10.____cpython
linux_aarch64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.11.____cpython
linux_aarch64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.12.____cpython
linux_aarch64_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.9.____cpython
linux_aarch64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.10.____cpython
linux_aarch64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.11.____cpython
linux_aarch64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.12.____cpython
linux_aarch64_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.9.____cpython
linux_ppc64le_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.10.____cpython
linux_ppc64le_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.11.____cpython
linux_ppc64le_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.12.____cpython
linux_ppc64le_c_compiler_version11cuda_compilernvcccuda_compiler_version11.8cxx_compiler_version11python3.9.____cpython
linux_ppc64le_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.10.____cpython
linux_ppc64le_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.11.____cpython
linux_ppc64le_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.12.____cpython
linux_ppc64le_c_compiler_version12cuda_compilercuda-nvcccuda_compiler_version12.0cxx_compiler_version12python3.9.____cpython
win_64_cuda_compilercuda-nvcccuda_compiler_version12.0python3.10.____cpython
win_64_cuda_compilercuda-nvcccuda_compiler_version12.0python3.11.____cpython
win_64_cuda_compilercuda-nvcccuda_compiler_version12.0python3.12.____cpython
win_64_cuda_compilercuda-nvcccuda_compiler_version12.0python3.9.____cpython
win_64_cuda_compilernvcccuda_compiler_version11.8python3.10.____cpython
win_64_cuda_compilernvcccuda_compiler_version11.8python3.11.____cpython
win_64_cuda_compilernvcccuda_compiler_version11.8python3.12.____cpython
win_64_cuda_compilernvcccuda_compiler_version11.8python3.9.____cpython

Current release info

Name	Downloads	Version	Platforms

Installing cupy-split

Installing cupy-split from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, cupy, cupy-core can be installed with conda:

conda install cupy cupy-core

or with mamba:

mamba install cupy cupy-core

It is possible to list all of the versions of cupy available on your platform with conda:

conda search cupy --channel conda-forge

or with mamba:

mamba search cupy --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search cupy --channel conda-forge

# List packages depending on `cupy`:
mamba repoquery whoneeds cupy --channel conda-forge

# List dependencies of `cupy`:
mamba repoquery depends cupy --channel conda-forge

About conda-forge

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating cupy-split-feedstock

If you would like to improve the cupy-split recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/cupy-split-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

If the version of a package is not being increased, please add or increase the build/number.
If the version of a package is being increased, please remember to return the build/number back to 0.

	script:
	# CUDA 10.1 moves some headers to `/usr/include`
	# So add that location last in the header search paths
	- export CFLAGS="${CFLAGS} -I/usr/include"
	- export CPPFLAGS="${CPPFLAGS} -I/usr/include"
	- export CXXFLAGS="${CXXFLAGS} -I/usr/include"

	# 1. The CUB support has been extensively tested with v1.8.0, so we should pin it here
	# 2. This dependency should be removed once CuPy bunldes CUB (cupy/cupy#2584)
	- url: https://github.com/NVlabs/cub/archive/v1.8.0.tar.gz
	sha256: 025658f4c933cd2aa8cc88a559d013338d68de3fa639cc1f2b12cf61dc759667
	folder: cub_v1.8.0 # so the source code is in cupy/cub_v1.8.0

	# TODO(leofang): fix the Thrust compiling error (C3615) for Windows + CUDA 11.2
	skip: true # [(not win64 and not linux64) or cuda_compiler_version in (undefined, "None") or (win64 and cuda_compiler_version == "11.2")]

conda-forge / cupy-feedstock Goto Github PK

cupy-feedstock's Introduction

About cupy-split-feedstock

About cupy-split

About cupy-core

Current build status

Current release info

Installing cupy-split

About conda-forge

Terminology

Updating cupy-split-feedstock

Feedstock Maintainers

cupy-feedstock's People

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