Skip to content

[JNI] Enables fabric handles for CUDA async memory pools (#17526) #4039

[JNI] Enables fabric handles for CUDA async memory pools (#17526)

[JNI] Enables fabric handles for CUDA async memory pools (#17526) #4039

Workflow file for this run

name: build
on:
push:
branches:
- "branch-*"
tags:
- v[0-9][0-9].[0-9][0-9].[0-9][0-9]
workflow_dispatch:
inputs:
branch:
required: true
type: string
date:
required: true
type: string
sha:
required: true
type: string
build_type:
type: string
default: nightly
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}-${{ github.event_name }}
cancel-in-progress: true
jobs:
cpp-build:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/conda-cpp-build.yaml@branch-25.02
with:
build_type: ${{ inputs.build_type || 'branch' }}
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
python-build:
needs: [cpp-build]
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/conda-python-build.yaml@branch-25.02
with:
build_type: ${{ inputs.build_type || 'branch' }}
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
upload-conda:
needs: [cpp-build, python-build]
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/conda-upload-packages.yaml@branch-25.02
with:
build_type: ${{ inputs.build_type || 'branch' }}
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
skip_upload_pkgs: libcudf-example
docs-build:
if: github.ref_type == 'branch'
needs: python-build
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/custom-job.yaml@branch-25.02
with:
arch: "amd64"
branch: ${{ inputs.branch }}
build_type: ${{ inputs.build_type || 'branch' }}
container_image: "rapidsai/ci-conda:cuda12.5.1-ubuntu22.04-py3.11"
date: ${{ inputs.date }}
node_type: "gpu-v100-latest-1"
run_script: "ci/build_docs.sh"
sha: ${{ inputs.sha }}
wheel-build-libcudf:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/wheels-build.yaml@branch-25.02
with:
# build for every combination of arch and CUDA version, but only for the latest Python
matrix_filter: group_by([.ARCH, (.CUDA_VER|split(".")|map(tonumber)|.[0])]) | map(max_by(.PY_VER|split(".")|map(tonumber)))
build_type: ${{ inputs.build_type || 'branch' }}
branch: ${{ inputs.branch }}
sha: ${{ inputs.sha }}
date: ${{ inputs.date }}
script: ci/build_wheel_libcudf.sh
wheel-publish-libcudf:
needs: wheel-build-libcudf
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/wheels-publish.yaml@branch-25.02
with:
build_type: ${{ inputs.build_type || 'branch' }}
branch: ${{ inputs.branch }}
sha: ${{ inputs.sha }}
date: ${{ inputs.date }}
package-name: libcudf
package-type: cpp
wheel-build-pylibcudf:
needs: [wheel-publish-libcudf]
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/wheels-build.yaml@branch-25.02
with:
build_type: ${{ inputs.build_type || 'branch' }}
branch: ${{ inputs.branch }}
sha: ${{ inputs.sha }}
date: ${{ inputs.date }}
script: ci/build_wheel_pylibcudf.sh
wheel-publish-pylibcudf:
needs: wheel-build-pylibcudf
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/wheels-publish.yaml@branch-25.02
with:
build_type: ${{ inputs.build_type || 'branch' }}
branch: ${{ inputs.branch }}
sha: ${{ inputs.sha }}
date: ${{ inputs.date }}
package-name: pylibcudf
package-type: python
wheel-build-cudf:
needs: wheel-publish-pylibcudf
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/wheels-build.yaml@branch-25.02
with:
build_type: ${{ inputs.build_type || 'branch' }}
branch: ${{ inputs.branch }}
sha: ${{ inputs.sha }}
date: ${{ inputs.date }}
script: ci/build_wheel_cudf.sh
wheel-publish-cudf:
needs: wheel-build-cudf
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/wheels-publish.yaml@branch-25.02
with:
build_type: ${{ inputs.build_type || 'branch' }}
branch: ${{ inputs.branch }}
sha: ${{ inputs.sha }}
date: ${{ inputs.date }}
package-name: cudf
package-type: python
wheel-build-dask-cudf:
needs: wheel-publish-cudf
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/wheels-build.yaml@branch-25.02
with:
# This selects "ARCH=amd64 + the latest supported Python + CUDA".
matrix_filter: map(select(.ARCH == "amd64")) | group_by(.CUDA_VER|split(".")|map(tonumber)|.[0]) | map(max_by([(.PY_VER|split(".")|map(tonumber)), (.CUDA_VER|split(".")|map(tonumber))]))
build_type: ${{ inputs.build_type || 'branch' }}
branch: ${{ inputs.branch }}
sha: ${{ inputs.sha }}
date: ${{ inputs.date }}
script: ci/build_wheel_dask_cudf.sh
wheel-publish-dask-cudf:
needs: wheel-build-dask-cudf
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/wheels-publish.yaml@branch-25.02
with:
build_type: ${{ inputs.build_type || 'branch' }}
branch: ${{ inputs.branch }}
sha: ${{ inputs.sha }}
date: ${{ inputs.date }}
package-name: dask_cudf
package-type: python
wheel-build-cudf-polars:
needs: wheel-publish-pylibcudf
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/wheels-build.yaml@branch-25.02
with:
# This selects "ARCH=amd64 + the latest supported Python + CUDA".
matrix_filter: map(select(.ARCH == "amd64")) | group_by(.CUDA_VER|split(".")|map(tonumber)|.[0]) | map(max_by([(.PY_VER|split(".")|map(tonumber)), (.CUDA_VER|split(".")|map(tonumber))]))
build_type: ${{ inputs.build_type || 'branch' }}
branch: ${{ inputs.branch }}
sha: ${{ inputs.sha }}
date: ${{ inputs.date }}
script: ci/build_wheel_cudf_polars.sh
wheel-publish-cudf-polars:
needs: wheel-build-cudf-polars
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/wheels-publish.yaml@branch-25.02
with:
build_type: ${{ inputs.build_type || 'branch' }}
branch: ${{ inputs.branch }}
sha: ${{ inputs.sha }}
date: ${{ inputs.date }}
package-name: cudf_polars
package-type: python
trigger-pandas-tests:
if: inputs.build_type == 'nightly'
needs: wheel-build-cudf
runs-on: ubuntu-latest
steps:
- name: Checkout code repo
uses: actions/checkout@v4
with:
ref: ${{ inputs.sha }}
persist-credentials: false
- name: Trigger pandas-tests
env:
GH_TOKEN: ${{ github.token }}
run: |
gh workflow run pandas-tests.yaml \
-f branch=${{ inputs.branch }} \
-f sha=${{ inputs.sha }} \
-f date=${{ inputs.date }}