RMM integration plugin (#5873)

* [CI] Add RMM as an optional dependency

* Replace caching allocator with pool allocator from RMM

* Revert "Replace caching allocator with pool allocator from RMM"

This reverts commit e15845d4e72e890c2babe31a988b26503a7d9038.

* Use rmm::mr::get_default_resource()

* Try setting default resource (doesn't work yet)

* Allocate pool_mr in the heap

* Prevent leaking pool_mr handle

* Separate EXPECT_DEATH() in separate test suite suffixed DeathTest

* Turn off death tests for RMM

* Address reviewer's feedback

* Prevent leaking of cuda_mr

* Fix Jenkinsfile syntax

* Remove unnecessary function in Jenkinsfile

* [CI] Install NCCL into RMM container

* Run Python tests

* Try building with RMM, CUDA 10.0

* Do not use RMM for CUDA 10.0 target

* Actually test for test_rmm flag

* Fix TestPythonGPU

* Use CNMeM allocator, since pool allocator doesn't yet support multiGPU

* Use 10.0 container to build RMM-enabled XGBoost

* Revert "Use 10.0 container to build RMM-enabled XGBoost"

This reverts commit 789021fa31112e25b683aef39fff375403060141.

* Fix Jenkinsfile

* [CI] Assign larger /dev/shm to NCCL

* Use 10.2 artifact to run multi-GPU Python tests

* Add CUDA 10.0 -> 11.0 cross-version test; remove CUDA 10.0 target

* Rename Conda env rmm_test -> gpu_test

* Use env var to opt into CNMeM pool for C++ tests

* Use identical CUDA version for RMM builds and tests

* Use Pytest fixtures to enable RMM pool in Python tests

* Move RMM to plugin/CMakeLists.txt; use PLUGIN_RMM

* Use per-device MR; use command arg in gtest

* Set CMake prefix path to use Conda env

* Use 0.15 nightly version of RMM

* Remove unnecessary header

* Fix a unit test when cudf is missing

* Add RMM demos

* Remove print()

* Use HostDeviceVector in GPU predictor

* Simplify pytest setup; use LocalCUDACluster fixture

* Address reviewers' commments

Co-authored-by: Hyunsu Cho <chohyu01@cs.wasshington.edu>
This commit is contained in:
Philip Hyunsu Cho
2020-08-12 01:26:02 -07:00
committed by GitHub
parent c3ea3b7e37
commit 9adb812a0a
26 changed files with 508 additions and 140 deletions

57
Jenkinsfile vendored
View File

@@ -73,7 +73,7 @@ pipeline {
'build-gpu-cuda10.0': { BuildCUDA(cuda_version: '10.0') },
// The build-gpu-* builds below use Ubuntu image
'build-gpu-cuda10.1': { BuildCUDA(cuda_version: '10.1') },
'build-gpu-cuda10.2': { BuildCUDA(cuda_version: '10.2') },
'build-gpu-cuda10.2': { BuildCUDA(cuda_version: '10.2', build_rmm: true) },
'build-gpu-cuda11.0': { BuildCUDA(cuda_version: '11.0') },
'build-jvm-packages-gpu-cuda10.0': { BuildJVMPackagesWithCUDA(spark_version: '3.0.0', cuda_version: '10.0') },
'build-jvm-packages': { BuildJVMPackages(spark_version: '3.0.0') },
@@ -89,11 +89,12 @@ pipeline {
script {
parallel ([
'test-python-cpu': { TestPythonCPU() },
'test-python-gpu-cuda10.2': { TestPythonGPU(host_cuda_version: '10.2') },
// artifact_cuda_version doesn't apply to RMM tests; RMM tests will always match CUDA version between artifact and host env
'test-python-gpu-cuda10.2': { TestPythonGPU(artifact_cuda_version: '10.0', host_cuda_version: '10.2', test_rmm: true) },
'test-python-gpu-cuda11.0-cross': { TestPythonGPU(artifact_cuda_version: '10.0', host_cuda_version: '11.0') },
'test-python-gpu-cuda11.0': { TestPythonGPU(artifact_cuda_version: '11.0', host_cuda_version: '11.0') },
'test-python-mgpu-cuda10.2': { TestPythonGPU(artifact_cuda_version: '10.2', host_cuda_version: '10.2', multi_gpu: true) },
'test-cpp-gpu-cuda10.2': { TestCppGPU(artifact_cuda_version: '10.2', host_cuda_version: '10.2') },
'test-python-mgpu-cuda10.2': { TestPythonGPU(artifact_cuda_version: '10.0', host_cuda_version: '10.2', multi_gpu: true, test_rmm: true) },
'test-cpp-gpu-cuda10.2': { TestCppGPU(artifact_cuda_version: '10.2', host_cuda_version: '10.2', test_rmm: true) },
'test-cpp-gpu-cuda11.0': { TestCppGPU(artifact_cuda_version: '11.0', host_cuda_version: '11.0') },
'test-jvm-jdk8-cuda10.0': { CrossTestJVMwithJDKGPU(artifact_cuda_version: '10.0', host_cuda_version: '10.0') },
'test-jvm-jdk8': { CrossTestJVMwithJDK(jdk_version: '8', spark_version: '3.0.0') },
@@ -280,6 +281,22 @@ def BuildCUDA(args) {
}
echo 'Stashing C++ test executable (testxgboost)...'
stash name: "xgboost_cpp_tests_cuda${args.cuda_version}", includes: 'build/testxgboost'
if (args.build_rmm) {
echo "Build with CUDA ${args.cuda_version} and RMM"
container_type = "rmm"
docker_binary = "docker"
docker_args = "--build-arg CUDA_VERSION=${args.cuda_version}"
sh """
rm -rf build/
${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/build_via_cmake.sh --conda-env=gpu_test -DUSE_CUDA=ON -DUSE_NCCL=ON -DPLUGIN_RMM=ON ${arch_flag}
${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} python tests/ci_build/rename_whl.py python-package/dist/*.whl ${commit_id} manylinux2010_x86_64
"""
echo 'Stashing Python wheel...'
stash name: "xgboost_whl_rmm_cuda${args.cuda_version}", includes: 'python-package/dist/*.whl'
echo 'Stashing C++ test executable (testxgboost)...'
stash name: "xgboost_cpp_tests_rmm_cuda${args.cuda_version}", includes: 'build/testxgboost'
}
deleteDir()
}
}
@@ -366,18 +383,15 @@ def TestPythonGPU(args) {
def container_type = "gpu"
def docker_binary = "nvidia-docker"
def docker_args = "--build-arg CUDA_VERSION=${args.host_cuda_version}"
if (args.multi_gpu) {
echo "Using multiple GPUs"
// Allocate extra space in /dev/shm to enable NCCL
def docker_extra_params = "CI_DOCKER_EXTRA_PARAMS_INIT='--shm-size=4g'"
sh """
${docker_extra_params} ${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/test_python.sh mgpu
"""
} else {
echo "Using a single GPU"
sh """
${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/test_python.sh gpu
"""
def mgpu_indicator = (args.multi_gpu) ? 'mgpu' : 'gpu'
// Allocate extra space in /dev/shm to enable NCCL
def docker_extra_params = (args.multi_gpu) ? "CI_DOCKER_EXTRA_PARAMS_INIT='--shm-size=4g'" : ''
sh "${docker_extra_params} ${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/test_python.sh ${mgpu_indicator}"
if (args.test_rmm) {
sh "rm -rfv build/ python-package/dist/"
unstash name: "xgboost_whl_rmm_cuda${args.host_cuda_version}"
unstash name: "xgboost_cpp_tests_rmm_cuda${args.host_cuda_version}"
sh "${docker_extra_params} ${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/test_python.sh ${mgpu_indicator} --use-rmm-pool"
}
deleteDir()
}
@@ -408,6 +422,17 @@ def TestCppGPU(args) {
def docker_binary = "nvidia-docker"
def docker_args = "--build-arg CUDA_VERSION=${args.host_cuda_version}"
sh "${dockerRun} ${container_type} ${docker_binary} ${docker_args} build/testxgboost"
if (args.test_rmm) {
sh "rm -rfv build/"
unstash name: "xgboost_cpp_tests_rmm_cuda${args.host_cuda_version}"
echo "Test C++, CUDA ${args.host_cuda_version} with RMM"
container_type = "rmm"
docker_binary = "nvidia-docker"
docker_args = "--build-arg CUDA_VERSION=${args.host_cuda_version}"
sh """
${dockerRun} ${container_type} ${docker_binary} ${docker_args} bash -c "source activate gpu_test && build/testxgboost --use-rmm-pool --gtest_filter=-*DeathTest.*"
"""
}
deleteDir()
}
}