xgboost/plugin/CMakeLists.txt
Philip Hyunsu Cho 9adb812a0a
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>
2020-08-12 01:26:02 -07:00

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CMake

if (PLUGIN_LZ4)
target_sources(objxgboost PRIVATE ${xgboost_SOURCE_DIR}/plugin/lz4/sparse_page_lz4_format.cc)
target_link_libraries(objxgboost PUBLIC lz4)
endif (PLUGIN_LZ4)
if (PLUGIN_DENSE_PARSER)
target_sources(objxgboost PRIVATE ${xgboost_SOURCE_DIR}/plugin/dense_parser/dense_libsvm.cc)
endif (PLUGIN_DENSE_PARSER)
if (PLUGIN_RMM)
find_path(RMM_INCLUDE "rmm"
HINTS "$ENV{RMM_ROOT}/include")
find_library(RMM_LIBRARY "rmm"
HINTS "$ENV{RMM_ROOT}/lib" "$ENV{RMM_ROOT}/build")
if ((NOT RMM_LIBRARY) OR (NOT RMM_INCLUDE))
message(FATAL_ERROR "Could not locate RMM library")
endif ()
message(STATUS "RMM: RMM_LIBRARY set to ${RMM_LIBRARY}")
message(STATUS "RMM: RMM_INCLUDE set to ${RMM_INCLUDE}")
target_include_directories(objxgboost PUBLIC ${RMM_INCLUDE})
target_link_libraries(objxgboost PUBLIC ${RMM_LIBRARY} cuda)
target_compile_definitions(objxgboost PUBLIC -DXGBOOST_USE_RMM=1)
endif (PLUGIN_RMM)
if (PLUGIN_UPDATER_ONEAPI)
add_library(oneapi_plugin OBJECT
${xgboost_SOURCE_DIR}/plugin/updater_oneapi/regression_obj_oneapi.cc
${xgboost_SOURCE_DIR}/plugin/updater_oneapi/predictor_oneapi.cc)
target_include_directories(oneapi_plugin
PRIVATE
${xgboost_SOURCE_DIR}/include
${xgboost_SOURCE_DIR}/dmlc-core/include
${xgboost_SOURCE_DIR}/rabit/include)
target_compile_definitions(oneapi_plugin PUBLIC -DXGBOOST_USE_ONEAPI=1)
target_link_libraries(oneapi_plugin PUBLIC -fsycl)
set_target_properties(oneapi_plugin PROPERTIES
COMPILE_FLAGS -fsycl
CXX_STANDARD 14
CXX_STANDARD_REQUIRED ON
POSITION_INDEPENDENT_CODE ON)
if (USE_OPENMP)
find_package(OpenMP REQUIRED)
target_link_libraries(oneapi_plugin PUBLIC OpenMP::OpenMP_CXX)
endif (USE_OPENMP)
# Get compilation and link flags of oneapi_plugin and propagate to objxgboost
target_link_libraries(objxgboost PUBLIC oneapi_plugin)
# Add all objects of oneapi_plugin to objxgboost
target_sources(objxgboost INTERFACE $<TARGET_OBJECTS:oneapi_plugin>)
endif (PLUGIN_UPDATER_ONEAPI)