GitLab

* add (l1) regression objective for cuda_exp

* remove RenewTreeOutputCUDA from CUDARegressionL2loss

* remove mutable and use CUDAVector

* remove white spaces

* remove TODO and document in (#5459)

* add (l2) regression objective for cuda_exp

* fix lint errors

* correct time tag

* 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

* fix cuda_exp ci

* fix ci failures introduced by #5279

* cleanup cuda.yml

* fix test.sh

* clean up test.sh

* clean up test.sh

* skip lines by cuda_exp in test_register_logger

* Update tests/python_package_test/test_utilities.py
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* include parameters from reference dataset on copy

* lint

* set non-default parameters

* update tree to if-else

* add missing )

* fix case

* trigger ci

change the destructor of ScoreUpdater to virtual

* add default definition for GetColWiseData and GetColWiseData

* fix warnings of template instantiation

* remove files in Makevars and LightGBM.vcxproj

* 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

* Update README.rst

* Update cuda_score_updater.cu
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Fix potential overflow in linear trees

* simplify
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* dump sorted parameter aliases

* update lgb.check.wrapper_param

* update _choose_param_value to look like lgb.check.wrapper_param

* apply suggestions from review

* reduce diff

* move DumpAliases to config

* remove unnecessary check

* restore parameter check

* 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

* Adjust LGBM_DatasetCreateFromSampledColumn to handle distributed data better

* linting fix

* switch to 1 API with breaking change

* Fix pything native call

* more python test fixes

* check feature names and order in predict with dataframe

* slice df in predict to remove the target

* scramble features

* handle int column names

* only change column order when needed

* include validate_features param in booster and sklearn estimators

* document validate_features argument

* use all_close in preds checks and check for assertion error to compare different arrays

* perform remapping and checks in cpp

* remove extra logs

* fixes

* revert cpp

* proposal

* remove extra arg

* lint

* restore _data_from_pandas arguments

* Apply suggestions from code review
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* move data conversion to Predictor.predict

* use Vector2Ptr
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

Clear split info buffer in cost efficient gradient boosting before every iteration (fix partially #3679) (#5164)

* clear split info buffer in cegb_ before every iteration

* check nullable of cegb_ in serial_tree_learner.cpp

* add a test case for checking the split buffer in CEGB

* swith to Threading::For instead of raw OpenMP

* apply review suggestions

* apply review comments

* remove device cpu

check nullable of bin mappers

* Update tree.cpp

* Update common.h

* Update common.h

* check existence of inet_pton for win32 in CMakeLists.txt (fix #5019)

* remove extra spaces

* add check for inet_pton in configure.win

* Update CMakeLists.txt
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Update src/network/socket_wrapper.hpp
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Update src/network/socket_wrapper.hpp
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Update CMakeLists.txt
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Update R-package/configure.win
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Update CMakeLists.txt
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* fix comments in CMakeLists.txt

* include check for WIN64

* remove WIN64 flag checks

* fix #ifdef

* Update R-package/configure.win
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update dataset_loader.cpp

* Update gbdt.h

* Update regression_objective.hpp

* Update linker_topo.cpp

* Update xentropy_objective.hpp

* Update regression_objective.hpp

* investigate inf test failure

* avoid overflow in regression objective

* remove `test_inf_handle` test
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>

* Update dataset_loader.cpp

* Update config.cpp

* Update application.cpp

* Update linkers_socket.cpp

* check number of features when retrieving number of bins

* check for negative values

* lint

* fix cuda exp with dense row wise

* disable usage of multi val group in cuda exp

* log warnings when number of bins of categorical features exceeds the configured maximum number of bins

* log only one warning information for all categorical features

* Add #include <memory> for unique_ptr

* remove useless param description

* 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>

* clarify no-meaningful-features warning in Dataset construction (fixes #5081)

* update tests

* expose FeatureNumBin in C api

* parametrize min_data_in_bin and add test with max_bin_by_feature

* include feature_num_bin in R package

* add suggestion from review
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* update error message and lint

* lint

* add call method

* minor improvements in tests

* add suggestions from review

* lint

* rename argument to feature in python and r packages
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* fix duplicate added initial scores for single-leaf trees

* add test case

* Fix import in Python test

* commit python suggestions
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* CUDATreeLearner: free GPU memory in destruuctor if any allocated

* Minor changes: checking for num_gpu_feature_groups is not needed

* Trigger CI again

* ENH save computations of exp in objectives

* CLN missing declaration