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test.yaml
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name: test
on:
workflow_dispatch:
inputs:
branch:
required: true
type: string
date:
required: true
type: string
sha:
required: true
type: string
jobs:
conda-cpp-checks:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/[email protected]
with:
build_type: nightly
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
enable_check_symbols: true
conda-cpp-tests:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/[email protected]
with:
build_type: nightly
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
conda-cpp-memcheck-tests:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/[email protected]
with:
build_type: nightly
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
node_type: "gpu-v100-latest-1"
arch: "amd64"
container_image: "rapidsai/ci-conda:latest"
run_script: "ci/test_cpp_memcheck.sh"
static-configure:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/[email protected]
with:
build_type: pull-request
# Use the wheel container so we can skip conda solves and since our
# primary static consumers (Spark) are not in conda anyway.
container_image: "rapidsai/ci-wheel:latest"
run_script: "ci/configure_cpp_static.sh"
conda-python-cudf-tests:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/[email protected]
with:
build_type: nightly
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
script: "ci/test_python_cudf.sh"
conda-python-other-tests:
# Tests for dask_cudf, custreamz, cudf_kafka are separated for CI parallelism
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/[email protected]
with:
build_type: nightly
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
script: "ci/test_python_other.sh"
conda-java-tests:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/[email protected]
with:
build_type: nightly
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
node_type: "gpu-v100-latest-1"
arch: "amd64"
container_image: "rapidsai/ci-conda:latest"
run_script: "ci/test_java.sh"
conda-notebook-tests:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/[email protected]
with:
build_type: nightly
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
node_type: "gpu-v100-latest-1"
arch: "amd64"
container_image: "rapidsai/ci-conda:latest"
run_script: "ci/test_notebooks.sh"
wheel-tests-cudf:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/[email protected]
with:
build_type: nightly
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
script: ci/test_wheel_cudf.sh
wheel-tests-dask-cudf:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/[email protected]
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: nightly
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
script: ci/test_wheel_dask_cudf.sh
unit-tests-cudf-pandas:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/[email protected]
with:
build_type: nightly
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
script: ci/cudf_pandas_scripts/run_tests.sh
third-party-integration-tests-cudf-pandas:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/[email protected]
with:
build_type: nightly
branch: ${{ inputs.branch }}
date: ${{ inputs.date }}
sha: ${{ inputs.sha }}
node_type: "gpu-v100-latest-1"
container_image: "rapidsai/ci-conda:latest"
run_script: |
ci/cudf_pandas_scripts/third-party-integration/test.sh python/cudf/cudf_pandas_tests/third_party_integration_tests/dependencies.yaml