* Add integrated OpenCL build on Linux
* Build integrated OpenCL Linux wheel in CI
* Fix test_dual.py on Linux arm64
* Enable integrated OpenCL Linux wheel arm64 testing in CI
* Update documentation
* Add comment about gpu_use_dp
* add missing fi dropped in merge conflict resolution
* install opencl-headers on bdist task
* use new CI image for x86_64
* update check_dynamic_dependencies script
* use main CI image
Co-authored-by: James Lamb <jaylamb20@gmail.com>
* add binary objective for cuda_exp
* include <string> and <vector>
* exchange include ordering
* fix length of score to copy in evaluation
* fix EvalOneMetric
* fix cuda binary objective and prediction when boosting on gpu
* Add white space
* fix BoostFromScore for CUDABinaryLogloss
update log in test_register_logger
* include <algorithm>
* simplify shared memory buffer
* Extract streaming to own PR
* small merge fixes and cleanup
* linting fixes
* fix cast warning
* Fix accidental deletion during branch transfer
* responded to initial triage comments
* Added more tests to use create-from-samples APIs
* added mutex and adjusted nclasses logic
* Fix thread-safety for pushing data to sparse bins through Push APIs
* lint and doc fixes
* Small SWIG fix
* nit fix
* Responded to StrikerRUS comments
* fix breaking change after merge with master
* Extract streaming to own PR
* small merge fixes and cleanup
* Fix accidental deletion during branch transfer
* responded to initial triage comments
* Added more tests to use create-from-samples APIs
* Fix rstcheck call in ci
* remove TODOs
* Extract streaming to own PR
* small merge fixes and cleanup
* Fix accidental deletion during branch transfer
* responded to initial triage comments
* Added more tests to use create-from-samples APIs
* Small SWIG fix
* remove ci change
* responded to shiyu1994 comments
* responded to StrikerRUS comments
* Fixes from StrikerRUS comments
* initial work for boosting and evaluation with CUDA
* fix compatibility with CPU code
* fix creating objective without USE_CUDA_EXP
* fix static analysis errors
* fix static analysis errors
* new cuda framework
* add histogram construction kernel
* before removing multi-gpu
* new cuda framework
* tree learner cuda kernels
* single tree framework ready
* single tree training framework
* remove comments
* boosting with cuda
* optimize for best split find
* data split
* move boosting into cuda
* parallel synchronize best split point
* merge split data kernels
* before code refactor
* use tasks instead of features as units for split finding
* refactor cuda best split finder
* fix configuration error with small leaves in data split
* skip histogram construction of too small leaf
* skip split finding of invalid leaves
stop when no leaf to split
* support row wise with CUDA
* copy data for split by column
* copy data from host to CPU by column for data partition
* add synchronize best splits for one leaf from multiple blocks
* partition dense row data
* fix sync best split from task blocks
* add support for sparse row wise for CUDA
* remove useless code
* add l2 regression objective
* sparse multi value bin enabled for CUDA
* fix cuda ranking objective
* support for number of items <= 2048 per query
* speedup histogram construction by interleaving global memory access
* split optimization
* add cuda tree predictor
* remove comma
* refactor objective and score updater
* before use struct
* use structure for split information
* use structure for leaf splits
* return CUDASplitInfo directly after finding best split
* split with CUDATree directly
* use cuda row data in cuda histogram constructor
* clean src/treelearner/cuda
* gather shared cuda device functions
* put shared CUDA functions into header file
* change smaller leaf from <= back to < for consistent result with CPU
* add tree predictor
* remove useless cuda_tree_predictor
* predict on CUDA with pipeline
* add global sort algorithms
* add global argsort for queries with many items in ranking tasks
* remove limitation of maximum number of items per query in ranking
* add cuda metrics
* fix CUDA AUC
* remove debug code
* add regression metrics
* remove useless file
* don't use mask in shuffle reduce
* add more regression objectives
* fix cuda mape loss
add cuda xentropy loss
* use template for different versions of BitonicArgSortDevice
* add multiclass metrics
* add ndcg metric
* fix cross entropy objectives and metrics
* fix cross entropy and ndcg metrics
* add support for customized objective in CUDA
* complete multiclass ova for CUDA
* separate cuda tree learner
* use shuffle based prefix sum
* clean up cuda_algorithms.hpp
* add copy subset on CUDA
* add bagging for CUDA
* clean up code
* copy gradients from host to device
* support bagging without using subset
* add support of bagging with subset for CUDAColumnData
* add support of bagging with subset for dense CUDARowData
* refactor copy sparse subrow
* use copy subset for column subset
* add reset train data and reset config for CUDA tree learner
add deconstructors for cuda tree learner
* add USE_CUDA ifdef to cuda tree learner files
* check that dataset doesn't contain CUDA tree learner
* remove printf debug information
* use full new cuda tree learner only when using single GPU
* disable all CUDA code when using CPU version
* recover main.cpp
* add cpp files for multi value bins
* update LightGBM.vcxproj
* update LightGBM.vcxproj
fix lint errors
* fix lint errors
* fix lint errors
* update Makevars
fix lint errors
* fix the case with 0 feature and 0 bin
fix split finding for invalid leaves
create cuda column data when loaded from bin file
* fix lint errors
hide GetRowWiseData when cuda is not used
* recover default device type to cpu
* fix na_as_missing case
fix cuda feature meta information
* fix UpdateDataIndexToLeafIndexKernel
* create CUDA trees when needed in CUDADataPartition::UpdateTrainScore
* add refit by tree for cuda tree learner
* fix test_refit in test_engine.py
* create set of large bin partitions in CUDARowData
* add histogram construction for columns with a large number of bins
* add find best split for categorical features on CUDA
* add bitvectors for categorical split
* cuda data partition split for categorical features
* fix split tree with categorical feature
* fix categorical feature splits
* refactor cuda_data_partition.cu with multi-level templates
* refactor CUDABestSplitFinder by grouping task information into struct
* pre-allocate space for vector split_find_tasks_ in CUDABestSplitFinder
* fix misuse of reference
* remove useless changes
* add support for path smoothing
* virtual destructor for LightGBM::Tree
* fix overlapped cat threshold in best split infos
* reset histogram pointers in data partition and spllit finder in ResetConfig
* comment useless parameter
* fix reverse case when na is missing and default bin is zero
* fix mfb_is_na and mfb_is_zero and is_single_feature_column
* remove debug log
* fix cat_l2 when one-hot
fix gradient copy when data subset is used
* switch shared histogram size according to CUDA version
* gpu_use_dp=true when cuda test
* revert modification in config.h
* fix setting of gpu_use_dp=true in .ci/test.sh
* fix linter errors
* fix linter error
remove useless change
* recover main.cpp
* separate cuda_exp and cuda
* fix ci bash scripts
add description for cuda_exp
* add USE_CUDA_EXP flag
* switch off USE_CUDA_EXP
* revert changes in python-packages
* more careful separation for USE_CUDA_EXP
* fix CUDARowData::DivideCUDAFeatureGroups
fix set fields for cuda metadata
* revert config.h
* fix test settings for cuda experimental version
* skip some tests due to unsupported features or differences in implementation details for CUDA Experimental version
* fix lint issue by adding a blank line
* fix lint errors by resorting imports
* fix lint errors by resorting imports
* fix lint errors by resorting imports
* merge cuda.yml and cuda_exp.yml
* update python version in cuda.yml
* remove cuda_exp.yml
* remove unrelated changes
* fix compilation warnings
fix cuda exp ci task name
* recover task
* use multi-level template in histogram construction
check split only in debug mode
* ignore NVCC related lines in parameter_generator.py
* update job name for CUDA tests
* apply review suggestions
* Update .github/workflows/cuda.yml
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
* Update .github/workflows/cuda.yml
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
* update header
* remove useless TODOs
* remove [TODO(shiyu1994): constrain the split with min_data_in_group] and record in #5062
* #include <LightGBM/utils/log.h> for USE_CUDA_EXP only
* fix include order
* fix include order
* remove extra space
* address review comments
* add warning when cuda_exp is used together with deterministic
* add comment about gpu_use_dp in .ci/test.sh
* revert changing order of included headers
Co-authored-by: Yu Shi <shiyu1994@qq.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
* cmake: use object library to avoid duplicate compilation.
* debug: verbose make log for building r package.
* Include /usr/local/include for AppleClang.
* Revert "debug: verbose make log for building r package."
* update cmake comment and fix indentation
* debug cmake USE_DEBUG.
* Revert "debug cmake USt E_DEBUG."
* Add -fPIC for building shared library.
* Always set -fPIC for non MSVC compiler.
* debug: print exception in setup.py
* debug: print cmake output for vs build.
* debug: set opencl related target_xxx on lightgbm_objs.
* Define compile definitions, link libraries on lightgbm_objs.
* Add PUBLIC to target_link_libraries to expose library dependency.
* Use target_link_libraries on object library.
This should propagate usage requirements.
* Fix CUDA linking.
Linking object library (lightgbm_objs) to object library (histograms)
does not linked objects.
* Use PUBLIC link for lightgbm lib.
* Set cuda related properties on final targets.
* Remove debugging changes.
Revert "debug: print exception in setup.py"
Revert "debug: print cmake output for vs build."
etc.
* Remove -D_lightgbm_EXPORTS.
* Revert to add -fPIC only for NOT USE_DEBUG.
* Enable PIC for shared lib.
* Fix enable PIC.
* Use -fPIC for shared lib.
* testlightgbm depends only on object files.
* tweak build for R.
* Try to remove OpenMP related include dir settings.
* link with openmp for capi object library.
* Use PUBLIC for _lightgbm target_link_libraries.
* Try removing exports definition.
* fix typo
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
* fix typo
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
* Add some comments for cmake code.
* Try to fix cmake warnings CUDA.
* revert accidentally commited R-package path change.
* Try to fix cmake CUDA warnings, set for _lightgbm target.
* Try to fix cmake CUDA warnings, set for lightgbm target.
* empty commit to trigger ci
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Nikita Titov
James Lamb
Dmitry Mottl
Sergey Fedorov
Philip Hyunsu Cho
yadda yadda yadda
Marco Vela
Dmitry Ulyanov
Samuel Johnson
June Liu
shiyu1994
Jonathan Giannuzzi
Shogo Hida
Scott Votaw
Belinda Trotta
Chen Yufei