Use CUDA 10.0

Jenkinsfile

@@ -64,7 +64,6 @@ pipeline {
             'build-cpu': { BuildCPU() },
             'build-cpu-rabit-mock': { BuildCPUMock() },
             'build-cpu-non-omp': { BuildCPUNonOmp() },
-            'build-gpu-cuda9.0': { BuildCUDA(cuda_version: '9.2') },
             'build-gpu-cuda10.0': { BuildCUDA(cuda_version: '10.0') },
             'build-gpu-cuda10.1': { BuildCUDA(cuda_version: '10.1') },
             'build-jvm-packages': { BuildJVMPackages(spark_version: '2.4.3') },
@@ -251,10 +250,10 @@ def BuildCUDA(args) {
     ${dockerRun} ${container_type} ${docker_binary} ${docker_args} bash -c "cd python-package && rm -rf dist/* && python setup.py bdist_wheel --universal"
     ${dockerRun} ${container_type} ${docker_binary} ${docker_args} python3 tests/ci_build/rename_whl.py python-package/dist/*.whl ${commit_id} manylinux2010_x86_64
     """
-    // Stash wheel for CUDA 9.2 target
-    if (args.cuda_version == '9.2') {
+    // Stash wheel for CUDA 10.0 target
+    if (args.cuda_version == '10.0') {
       echo 'Stashing Python wheel...'
-      stash name: 'xgboost_whl_cuda9', includes: 'python-package/dist/*.whl'
+      stash name: 'xgboost_whl_cuda10', includes: 'python-package/dist/*.whl'
       path = ("${BRANCH_NAME}" == 'master') ? '' : "${BRANCH_NAME}/"
       s3Upload bucket: 'xgboost-nightly-builds', path: path, acl: 'PublicRead', workingDir: 'python-package/dist', includePathPattern:'**/*.whl'
       echo 'Stashing C++ test executable (testxgboost)...'
@@ -298,7 +297,7 @@ def BuildJVMDoc() {
 
 def TestPythonCPU() {
   node('linux && cpu') {
-    unstash name: 'xgboost_whl_cuda9'
+    unstash name: 'xgboost_whl_cuda10'
     unstash name: 'srcs'
     unstash name: 'xgboost_cli'
     echo "Test Python CPU"
@@ -315,7 +314,7 @@ def TestPythonCPU() {
 def TestPythonGPU(args) {
   nodeReq = (args.multi_gpu) ? 'linux && mgpu' : 'linux && gpu'
   node(nodeReq) {
-    unstash name: 'xgboost_whl_cuda9'
+    unstash name: 'xgboost_whl_cuda10'
     unstash name: 'srcs'
     echo "Test Python GPU: CUDA ${args.cuda_version}"
     def container_type = "gpu"