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[CI] Remove CUDA 8.0 from CI pipeline (#4580)

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Philip Hyunsu Cho 2019-06-18 23:38:03 -07:00 committed by GitHub
parent e94f85f0e4
commit 570374effe
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1 changed files with 3 additions and 12 deletions
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@ -55,7 +55,6 @@ pipeline {
script {
parallel ([
'build-cpu': { BuildCPU() },
'build-gpu-cuda8.0': { BuildCUDA(cuda_version: '8.0') },
'build-gpu-cuda9.0': { BuildCUDA(cuda_version: '9.0') },
'build-gpu-cuda10.0': { BuildCUDA(cuda_version: '10.0') },
'build-gpu-cuda10.1': { BuildCUDA(cuda_version: '10.1') },
@ -72,7 +71,6 @@ pipeline {
script {
parallel ([
'test-python-cpu': { TestPythonCPU() },
'test-python-gpu-cuda8.0': { TestPythonGPU(cuda_version: '8.0') },
'test-python-gpu-cuda9.0': { TestPythonGPU(cuda_version: '9.0') },
'test-python-gpu-cuda10.0': { TestPythonGPU(cuda_version: '10.0') },
'test-python-gpu-cuda10.1': { TestPythonGPU(cuda_version: '10.1') },
@ -197,11 +195,8 @@ def BuildCUDA(args) {
${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/build_via_cmake.sh -DUSE_CUDA=ON -DUSE_NCCL=ON -DOPEN_MP:BOOL=ON
${dockerRun} ${container_type} ${docker_binary} ${docker_args} bash -c "cd python-package && rm -rf dist/* && python setup.py bdist_wheel --universal"
"""
// Stash wheel for CUDA 8.0 / 9.0 target
if (args.cuda_version == '8.0') {
echo 'Stashing Python wheel...'
stash name: 'xgboost_whl_cuda8', includes: 'python-package/dist/*.whl'
} else if (args.cuda_version == '9.0') {
// Stash wheel for CUDA 9.0 target
if (args.cuda_version == '9.0') {
echo 'Stashing Python wheel...'
stash name: 'xgboost_whl_cuda9', includes: 'python-package/dist/*.whl'
archiveArtifacts artifacts: "python-package/dist/*.whl", allowEmptyArchive: true
@ -262,11 +257,7 @@ def TestPythonCPU() {
def TestPythonGPU(args) {
nodeReq = (args.multi_gpu) ? 'linux && mgpu' : 'linux && gpu'
node(nodeReq) {
if (args.cuda_version == '8.0') {
unstash name: 'xgboost_whl_cuda8'
} else {
unstash name: 'xgboost_whl_cuda9'
}
unstash name: 'xgboost_whl_cuda9'
unstash name: 'srcs'
echo "Test Python GPU: CUDA ${args.cuda_version}"
def container_type = "gpu"