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matrix.yaml
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workflows:
# If any jobs appear here, they will be executed instead of `pull_request' for PRs.
# This is useful for limiting resource usage when a full matrix is not needed.
# The branch protection checks will fail when using this override workflow.
#
# Example:
# override:
# - {jobs: ['test'], project: 'thrust', std: 17, ctk: 'curr', cxx: ['gcc12', 'clang16']}
#
override:
pull_request:
# Old CTK/compiler
- {jobs: ['build'], std: 'minmax', ctk: '12.0', cxx: ['gcc7', 'gcc9', 'clang14', 'msvc2019']}
# Current CTK build-only
- {jobs: ['build'], std: 'max', cxx: ['gcc7', 'gcc8', 'gcc9']}
- {jobs: ['build'], std: 'all', cxx: ['gcc10', 'gcc11', 'gcc12']}
- {jobs: ['build'], std: 'all', cxx: ['clang14', 'clang15', 'clang16', 'clang17']}
- {jobs: ['build'], std: 'max', cxx: ['msvc2019']}
- {jobs: ['build'], std: 'all', cxx: ['gcc', 'clang', 'msvc']}
# Current CTK testing:
- {jobs: ['test'], project: ['thrust'], std: 'max', cxx: ['gcc', 'clang', 'msvc'], gpu: 'rtx4090'}
- {jobs: ['test'], project: ['libcudacxx'], std: 'max', cxx: ['gcc', 'clang', 'msvc'], gpu: 'rtx2080'}
# Split up cub tests:
- {jobs: ['test_nolid', 'test_lid0'], project: ['cub'], std: 'max', cxx: ['gcc'], gpu: 'rtxa6000'}
- {jobs: ['test_lid1', 'test_lid2'], project: ['cub'], std: 'max', cxx: ['gcc'], gpu: 'rtxa6000'}
- {jobs: ['test_nolid', 'test_lid0'], project: ['cub'], std: 'max', cxx: ['clang', 'msvc'], gpu: 'rtxa6000'}
# Modded builds:
- {jobs: ['build'], std: 'all', ctk: '12.5', cxx: 'nvhpc'}
- {jobs: ['build'], std: 'max', cxx: ['gcc', 'clang'], cpu: 'arm64'}
- {jobs: ['build'], std: 'max', cxx: 'gcc', sm: ['90;90a;100']}
- {jobs: ['test_nolid', 'test_lid0'], project: 'cub', std: 'max', gpu: 'h100', sm: 'gpu' }
- {jobs: ['test_gpu'], project: 'thrust', std: 'max', gpu: 'h100', sm: 'gpu' }
- {jobs: ['test'], project: ['libcudacxx', 'cudax'], std: 'max', gpu: 'h100', sm: 'gpu' }
# Test Thrust 32-bit-only dispatch here, since it's most likely to break. 64-bit-only is tested in nightly.
- {jobs: ['test_gpu'], project: 'thrust', cmake_options: '-DTHRUST_DISPATCH_TYPE=Force32bit', gpu: 'rtx4090'}
# default_projects: clang-cuda
- {jobs: ['build'], std: 'all', cudacxx: 'clang', cxx: 'clang'}
# Disabled; see discussion on #3633. Should be fixed in clang-20.
# - {jobs: ['build'], project: 'libcudacxx', std: 'max', cudacxx: 'clang', cxx: 'clang', sm: '90'}
# - {jobs: ['build'], project: 'libcudacxx', std: 'max', cudacxx: 'clang', cxx: 'clang', sm: '90a'}
# nvrtc:
- {jobs: ['nvrtc'], project: 'libcudacxx', std: 'all', gpu: 'rtx2080', sm: 'gpu'}
# verify-codegen:
- {jobs: ['verify_codegen'], project: 'libcudacxx'}
# cudax has different CTK reqs:
- {jobs: ['build'], project: 'cudax', ctk: ['12.0'], std: 20, cxx: ['msvc14.39']}
- {jobs: ['build'], project: 'cudax', ctk: ['curr'], std: 20, cxx: ['gcc10', 'gcc11', 'gcc12']}
- {jobs: ['build'], project: 'cudax', ctk: ['curr'], std: 20, cxx: ['clang14', 'clang15', 'clang16', 'clang17']}
- {jobs: ['build'], project: 'cudax', ctk: ['12.5'], std: 'all', cxx: ['nvhpc']}
- {jobs: ['build'], project: 'cudax', ctk: ['curr'], std: 20, cxx: ['msvc2022']}
- {jobs: ['build'], project: 'cudax', ctk: ['curr'], std: 17, cxx: ['gcc'], sm: "90"}
- {jobs: ['build'], project: 'cudax', ctk: ['curr'], std: 20, cxx: ['gcc'], sm: "90a"}
- {jobs: ['build'], project: 'cudax', ctk: ['curr'], std: 'all', cxx: ['gcc', 'clang'], cpu: 'arm64'}
- {jobs: ['test'], project: 'cudax', ctk: ['curr'], std: 20, cxx: ['gcc12', 'clang', 'msvc'], gpu: 'rtx2080'}
# Python and c/parallel jobs:
- {jobs: ['test'], project: ['cccl_c_parallel', 'python'], gpu: 'rtx2080'}
# cccl-infra:
- {jobs: ['infra'], project: 'cccl', ctk: '12.0', cxx: ['gcc12', 'clang14'], gpu: 'rtx2080'}
- {jobs: ['infra'], project: 'cccl', ctk: 'curr', cxx: ['gcc', 'clang'], gpu: 'rtx2080'}
nightly:
# Edge-case jobs
- {jobs: ['limited'], project: 'cub', std: 17, gpu: 'rtx2080'}
- {jobs: ['test_gpu'], project: 'thrust', cmake_options: '-DTHRUST_DISPATCH_TYPE=Force32bit', gpu: 'rtx4090'}
- {jobs: ['test_gpu'], project: 'thrust', cmake_options: '-DTHRUST_DISPATCH_TYPE=Force64bit', gpu: 'rtx4090'}
# Old CTK/compiler
- {jobs: ['build'], std: 'all', ctk: '12.0', cxx: ['gcc7', 'gcc8', 'gcc9', 'clang14', 'msvc2019']}
- {jobs: ['build'], std: 'all', ctk: '12.0', cxx: ['gcc11'], sm: '60;70;80;90'}
# Current CTK build-only
- {jobs: ['build'], std: 'all', cxx: ['gcc7', 'gcc8', 'gcc9', 'gcc10', 'gcc11', 'gcc12']}
- {jobs: ['build'], std: 'all', cxx: ['clang14', 'clang15', 'clang16', 'clang17']}
- {jobs: ['build'], std: 'all', cxx: ['msvc2019']}
# Test current CTK
- {jobs: ['test'], project: 'cub', std: 'all', cxx: ['gcc', 'clang', 'msvc'], gpu: 'rtxa6000'}
- {jobs: ['test'], project: 'thrust', std: 'all', cxx: ['gcc', 'clang', 'msvc'], gpu: 'rtx4090'}
- {jobs: ['test'], project: 'libcudacxx', std: 'all', cxx: ['gcc', 'clang', 'msvc'], gpu: 'rtx2080'}
# Modded builds:
- {jobs: ['build'], std: 'all', ctk: '12.5', cxx: 'nvhpc'}
- {jobs: ['build'], std: 'all', cxx: ['gcc', 'clang'], cpu: 'arm64'}
- {jobs: ['build'], std: 'all', cxx: ['gcc'], sm: '90a'}
- {jobs: ['test_nolid', 'test_lid0'], project: 'cub', std: 'max', gpu: ['v100', 't4', 'l4', 'h100'], sm: '70;75;89;90;100'}
- {jobs: ['test_gpu'], project: 'thrust', std: 'max', gpu: ['v100', 't4', 'l4', 'h100'], sm: '70;75;89;90;100'}
- {jobs: ['test'], project: ['libcudacxx', 'cudax'], std: 'max', gpu: ['v100', 't4', 'l4', 'h100'], sm: '70;75;89;90;100'}
# default_projects: clang-cuda
- {jobs: ['build'], std: 'all', cudacxx: 'clang', cxx: 'clang'}
# Disabled; see discussion on #3633. Should be fixed in clang-20.
# - {jobs: ['build'], project: 'libcudacxx', std: 'all', cudacxx: 'clang', cxx: 'clang', sm: '90'}
# - {jobs: ['build'], project: 'libcudacxx', std: 'all', cudacxx: 'clang', cxx: 'clang', sm: '90a'}
# cudax
- {jobs: ['build'], project: 'cudax', ctk: ['12.0', 'curr'], std: 'all', cxx: ['gcc9', 'gcc10', 'gcc11']}
- {jobs: ['build'], project: 'cudax', ctk: [ 'curr'], std: 'all', cxx: ['clang14', 'clang15', 'clang16', 'clang17']}
- {jobs: ['build'], project: 'cudax', ctk: [ '12.5'], std: 'all', cxx: ['nvhpc']}
- {jobs: ['build'], project: 'cudax', ctk: ['12.0', ], std: '20', cxx: ['msvc14.39']}
- {jobs: ['build'], project: 'cudax', ctk: [ 'curr'], std: '20', cxx: ['msvc2022']}
- {jobs: ['build'], project: 'cudax', ctk: ['12.0' ], std: 'all', cxx: ['gcc12'], sm: "90"}
- {jobs: ['build'], project: 'cudax', ctk: [ 'curr'], std: 'all', cxx: ['gcc13'], sm: "90a"}
- {jobs: ['build'], project: 'cudax', ctk: [ 'curr'], std: 'all', cxx: ['gcc13', 'clang16'], cpu: 'arm64'}
- {jobs: ['test'], project: 'cudax', ctk: ['12.0', 'curr'], std: 'all', cxx: ['gcc12'] , gpu: 'rtx2080'}
- {jobs: ['test'], project: 'cudax', ctk: ['12.0' ], std: 'all', cxx: ['clang14'], gpu: 'rtx2080'}
- {jobs: ['test'], project: 'cudax', ctk: [ 'curr'], std: 'all', cxx: ['clang18'], gpu: 'rtx2080'}
# Any generated jobs that match the entries in `exclude` will be removed from the final matrix for all workflows.
exclude:
# GPU runners are not available on Windows.
- {jobs: ['test', 'test_gpu', 'test_nolid', 'test_lid0', 'test_lid1', 'test_lid2'], cxx: ['msvc2019', 'msvc14.39', 'msvc2022']}
#############################################################################################
# The version of the devcontainer images to use from https://hub.docker.com/r/rapidsai/devcontainers
devcontainer_version: '25.02'
# All supported C++ standards:
all_stds: [17, 20]
ctk_versions:
12.0: { stds: [17, 20] }
12.5: { stds: [17, 20] }
12.8: { stds: [17, 20], aka: 'curr' }
device_compilers:
nvcc: # Version / stds are taken from CTK
name: 'nvcc'
exe: 'nvcc'
clang: # Requires cxx=clang. Version / stds are taken from cxx compiler.
name: "ClangCUDA"
exe: 'clang++'
host_compilers:
gcc:
name: 'GCC'
container_tag: 'gcc'
exe: 'g++'
versions:
7: { stds: [17, ] }
8: { stds: [17, ] }
9: { stds: [17, ] }
10: { stds: [17, 20] }
11: { stds: [17, 20] }
12: { stds: [17, 20] }
13: { stds: [17, 20] }
clang:
name: 'Clang'
container_tag: 'llvm'
exe: 'clang++'
versions:
14: { stds: [17, 20] }
15: { stds: [17, 20] }
16: { stds: [17, 20] }
17: { stds: [17, 20] }
18: { stds: [17, 20] }
msvc:
name: 'MSVC'
container_tag: 'cl'
exe: cl
versions:
14.29: { stds: [ 17, ], aka: '2019' }
14.39: { stds: [ 17, 20] }
14.42: { stds: [ 17, 20], aka: '2022' }
nvhpc:
name: 'NVHPC'
container_tag: 'nvhpc'
exe: nvc++
versions:
24.7: { stds: [17, 20 ] }
# Jobs support the following properties:
#
# - gpu: Whether the job requires a GPU runner. Default is false.
# - name: The human-readable name of the job. Default is the capitalized job key.
# - needs:
# - A list of jobs that must be completed before this job can run. Default is an empty list.
# - These are automatically added if needed:
# - Eg. "jobs: ['test']" in the workflow def will also create the required 'build' jobs.
# - invoke:
# - Map the job type to the script invocation spec:
# - prefix: The script invocation prefix. Default is the job name.
# - args: Additional arguments to pass to the script. Default is no args.
# - The script is invoked either:
# linux: `ci/windows/<spec[prefix]>_<project>.ps1 <spec[args]>`
# windows: `ci/<spec[prefix]>_<project>.sh <spec[args]>`
jobs:
# General:
build: { gpu: false }
test: { gpu: true, needs: 'build' }
test_nobuild: { gpu: true, name: 'Test', invoke: { prefix: 'test' } }
# CCCL:
infra: { gpu: true } # example project launches a kernel
# libcudacxx:
nvrtc: { gpu: true, name: 'NVRTC' }
verify_codegen: { gpu: false, name: 'VerifyCodegen' }
# CUB:
# NoLid -> The string `lid_X` doesn't appear in the test name. Mostly warp/block tests, old device tests, and examples.
test_nolid: { name: 'TestGPU', gpu: true, needs: 'build', invoke: { prefix: 'test', args: '-no-lid'} }
# CUB uses `lid` to indicate launch strategies: whether CUB algorithms are:
# - launched from the host (lid0):
test_lid0: { name: 'HostLaunch', gpu: true, needs: 'build', invoke: { prefix: 'test', args: '-lid0'} }
# - launched from the device (lid1):
test_lid1: { name: 'DeviceLaunch', gpu: true, needs: 'build', invoke: { prefix: 'test', args: '-lid1'} }
# - captured in a CUDA graph for deferred launch (lid2):
test_lid2: { name: 'GraphCapture', gpu: true, needs: 'build', invoke: { prefix: 'test', args: '-lid2'} }
# Limited build reduces the number of runtime test cases, available device memory, etc, and may be used
# to reduce test runtime in limited environments.
limited: { name: "SmallGMem", gpu: true, needs: 'build', invoke: { prefix: 'test', args: '-limited'} }
# Thrust:
test_cpu: { name: 'TestCPU', gpu: false, needs: 'build', invoke: { prefix: 'test', args: '-cpu-only'} }
test_gpu: { name: 'TestGPU', gpu: true, needs: 'build', invoke: { prefix: 'test', args: '-gpu-only'} }
# Project have the following properties:
#
# Keys are project subdirectories names. These will also be used in script names.
#
# - stds: A list of C++ standards to test. Required.
# - name: The human-readable name of the project. Default is the project key.
# - job_map: Map general jobs to arrays of project-specific jobs.
# Useful for things like splitting cpu/gpu testing for a project.
# E.g. "job_map: { test: ['test_cpu', 'test_gpu'] }" replaces
# the "test" job with distinct "test_cpu" and "test_gpu" jobs.
projects:
cccl:
name: 'CCCL'
stds: [17, 20]
libcudacxx:
name: 'libcu++'
stds: [17, 20]
cub:
name: 'CUB'
stds: [17, 20]
job_map: { test: ['test_nolid', 'test_lid0', 'test_lid1', 'test_lid2'] }
thrust:
name: 'Thrust'
stds: [17, 20]
job_map: { test: ['test_cpu', 'test_gpu'] }
cudax:
stds: [17, 20]
python:
name: "cuda (python)"
job_map: { build: [], test: ['test_nobuild'] }
cccl_c_parallel:
name: 'CCCL C Parallel'
stds: [20]
# testing -> Runner with GPU is in a nv-gh-runners testing pool
gpus:
v100: { sm: 70 } # 32 GB, 40 runners
t4: { sm: 75 } # 16 GB, 10 runners
rtx2080: { sm: 75 } # 8 GB, 12 runners
rtxa6000: { sm: 86 } # 48 GB, 12 runners
l4: { sm: 89 } # 24 GB, 48 runners
rtx4090: { sm: 89 } # 24 GB, 10 runners
h100: { sm: 90 } # 80 GB, 16 runners
# Tags are used to define a `matrix job` in the workflow section.
#
# Tags have the following options:
# - required: Whether the tag is required. Default is false.
# - default: The default value for the tag. Default is null.
tags:
# An array of jobs (e.g. 'build', 'test', 'nvrtc', 'infra', 'verify_codegen', ...)
# See the `jobs` map.
jobs: { required: true }
# CUDA ToolKit version
# See the `ctks` map.
ctk: { default: 'curr' }
# CPU architecture
cpu: { default: 'amd64' }
# GPU model
gpu: { default: 'rtx2080' }
# Host compiler {name, version, exe}
# See the `host_compilers` map.
cxx: { default: 'gcc' }
# Device compiler.
# See the `device_compilers` map.
cudacxx: { default: 'nvcc' }
# Project name (e.g. libcudacxx, cub, thrust, cccl)
# See the `projects` map.
project: { default: ['libcudacxx', 'cub', 'thrust'] }
# C++ standard
# If set to 'all', all stds supported by the ctk/compilers/project are used.
# If set to 'min', 'max', or 'minmax', the minimum, maximum, or both stds are used.
# If set, will be passed to script with `-std <std>`.
std: { required: false }
# GPU architecture
# - If set, passed to script with `-arch <sm>`.
# - Format is the same as `CMAKE_CUDA_ARCHITECTURES`:
# - PTX only: 70-virtual
# - SASS only: 70-real
# - Both: 70
# - Can pass multiple architectures via "60;70-real;80-virtual"
# - Defaults to use the settings in the CMakePresets.json file.
# - Will be exploded if an array, e.g. `sm: ['60;70;80;90', '90a']` creates two jobs.
# - Set to 'gpu' to only target the GPU in the `gpu` tag.
sm: { required: false }
# Additional CMake options to pass to the build.
# If set, passed to script with `-cmake_options "<cmake_options>"`.
cmake_options: { required: false }