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build-and-test-device.yaml
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
name: test-c-device
on:
push:
branches:
- main
pull_request:
branches:
- main
paths:
- 'CMakeLists.txt'
- '.github/workflows/build-and-test-device.yaml'
- 'src/nanoarrow/**'
- 'python/meson.build'
- 'python/src/nanoarrow/meson.build'
permissions:
contents: read
jobs:
test-c-device:
runs-on: ${{ matrix.config.runner }}
name: ${{ matrix.config.label }}
strategy:
fail-fast: false
matrix:
config:
- {runner: ubuntu-latest, label: default-build}
- {runner: ubuntu-latest, label: namespaced-build, cmake_args: "-DNANOARROW_NAMESPACE=SomeUserNamespace"}
- {runner: ubuntu-latest, label: bundled-build, cmake_args: "-DNANOARROW_DEVICE_BUNDLE=ON"}
- {runner: macOS-latest, label: with-metal, cmake_args: "-DNANOARROW_DEVICE_WITH_METAL=ON"}
- {runner: ["self-hosted", "cuda"], label: with-cuda, cmake_args: "-DNANOARROW_DEVICE_WITH_CUDA=ON"}
steps:
- uses: actions/checkout@v4
- name: Install memcheck dependencies
if: matrix.config.label == 'default-build'
run: |
sudo apt-get update && sudo apt-get install -y valgrind
# The self-hosted runner for CUDA needs a number of packages installed that
# are already installed on the GitHub runner
- name: Install build dependencies
if: matrix.config.label == 'with-cuda'
run: |
sudo apt-get update && \
sudo apt-get install -y cmake build-essential cuda-toolkit tzdata
# Debug install location of cuda toolkit
ldconfig -p | grep libcuda
- name: Cache Arrow C++ Build
id: cache-arrow-build
uses: actions/cache@v4
with:
path: arrow
# Bump the number at the end of this line to force a new Arrow C++ build
# The self-hosted runner needs its own Arrow build since it is running
# a much older linux distribution. When the Arrow C++ requirement for tests is
# dropped, we don't have to use this at all as part of the CI configuration.
key: arrow-device-${{ runner.os }}-${{ runner.arch }}-${{ matrix.config.label }}-2
- name: Build Arrow C++
if: steps.cache-arrow-build.outputs.cache-hit != 'true'
shell: bash
run: |
ci/scripts/build-arrow-cpp-minimal.sh 18.0.0 arrow
- name: Build
run: |
ARROW_PATH="$(pwd)/arrow"
# Debug arrow includes
find "${ARROW_PATH}"
mkdir build
cd build
export VERBOSE=1
cmake .. -DCMAKE_BUILD_TYPE=Debug -DNANOARROW_DEVICE=ON \
-DNANOARROW_BUILD_TESTS=ON -DNANOARROW_BUILD_TESTS_WITH_ARROW=ON \
-DCMAKE_PREFIX_PATH="${ARROW_PATH}" ${{ matrix.config.cmake_args }}
cmake --build .
- name: Check for non-namespaced symbols in namespaced build
if: matrix.config.label == 'namespaced-build'
run: |
# Dump all symbols
nm --extern-only build/libnanoarrow_device.a
# Check for non-namespaced ones
ARROW_SYMBOLS=`nm --extern-only build/libnanoarrow_device.a | grep "T Arrow" || true`
if [ -z "$ARROW_SYMBOLS" ]; then
exit 0
fi
echo "Found the following non-namespaced extern symbols:"
echo $ARROW_SYMBOLS
exit 1
- name: Run tests
run: |
cd build
ctest -T test --output-on-failure .
- name: Run tests with valgrind
if: matrix.config.label == 'default-build' || matrix.config.label == 'default-noatomics'
run: |
cd build
ctest -T memcheck .
- name: Upload memcheck results
if: failure() && matrix.config.label == 'default-build'
uses: actions/upload-artifact@main
with:
name: nanoarrow-device-memcheck
path: build/Testing/Temporary/MemoryChecker.*.log
- name: Set up Python
if: matrix.config.label == 'with-cuda'
uses: actions/setup-python@v5
with:
python-version: "3.12"
cache: 'pip'
- name: Build Python bindings with CUDA
if: matrix.config.label == 'with-cuda'
env:
NANOARROW_PYTHON_CUDA_HOME: "/usr/local/cuda"
run: |
cd python
python3 -m pip install ".[test]" -vv
python3 -m pip install cupy-cuda12x
- name: Test Python bindings with CUDA
if: matrix.config.label == 'with-cuda'
run: |
cd python
python3 -m pytest -vv