GitLab

* 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>

* 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>

* Update CMakeLists.txt

* Update CMakeLists.txt

* Update static_analysis.yml

* Update CMakeLists.txt

* Update test.sh

* Update CMakeLists.txt

* Update static_analysis.yml

* Update CMakeLists.txt

* Update cuda.yml

* Update CMakeLists.txt

* Update CMakeLists.txt

* Update cuda.yml

* Update Sanitizer.cmake

* Update FindLibR.cmake

* Update IntegratedOpenCL.cmake

* Update FindLibR.cmake

* Update CMakeLists.txt

* Update FindLibR.cmake

* Update static_analysis.yml

* Update CMakeLists.txt

* Update FindLibR.cmake

* Update IntegratedOpenCL.cmake

* Update static_analysis.yml

* Update CMakeLists.txt

* Update FindLibR.cmake

* 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>

Co-authored-by: Nikita Titov <nekit94-12@hotmail.com>

* run cpp tests with sanitizers

* re-trigger CI

* continue

* small cleanup

* restore cpp test

[R-package] suppress Wcast-function-type warning in CMake-based gcc and MinGW builds (fixes #4273) (#4274)

* [R-package] suppress Wcast-function-type warning in CMake-based gcc and MinGW builds (fixes #4273)

* suppress warning from CMake side

* run cpp tests at CI

* Update docs/Installation-Guide.rst
Co-authored-by: James Lamb <jaylamb20@gmail.com>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Add CMake option to enable sanitizer

* Set up gtest

* Address reviewer's feedback

* Address reviewer's feedback

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

* [docs] Change some 'parallel learning' references to 'distributed learning'

* found a few more

* one more reference

* test different CUDA versions

* Update cuda.yml

* Update cuda.yml

* Update setup.sh

* Update setup.sh

* Update cuda.yml

* Update cuda.yml

* Update setup.sh

* Update setup.sh

* Update setup.sh

* Update setup.sh

* Update cuda.yml

* Update cuda.yml

* Update cuda.yml

* Update CMakeLists.txt

* Update CMakeLists.txt

* Update cuda.yml

* Update cuda.yml

* Update cuda.yml

* Update CMakeLists.txt

* specify CUDA version in workflow job name

* move all submodules to external_libs folder

* Update .Rbuildignore

* Update MANIFEST.in

* Update .appveyor.yml

* Update CMakeLists.txt

* Update build_r.R

* Update test.sh

* Update setup.py

* Update CMakeLists.txt

* Update test.sh

* Update setup.py

* Update conf.py

* Update MANIFEST.in

* Update LightGBM.vcxproj

* continue

* test

* test

* Update setup.py

* hotfix

* revert CI tests

* [python-package] remove unused Eigen files (fixes #3684)

* more changes

* add EIGEN_MPL2_ONLY in VS solution file

* fix VS project

* remove EIGEN_MPL2_ONLY define in linear_tree_learner
Co-authored-by: Nikita Titov <nekit94-12@hotmail.com>

* small code and docs refactoring

* Update CMakeLists.txt

* Update .vsts-ci.yml

* Update test.sh

* continue

* continue

* revert stable sort for all-unique values

* Add Eigen library.

* Working for simple test.

* Apply changes to config params.

* Handle nan data.

* Update docs.

* Add test.

* Only load raw data if boosting=gbdt_linear

* Remove unneeded code.

* Minor updates.

* Update to work with sk-learn interface.

* Update to work with chunked datasets.

* Throw error if we try to create a Booster with an already-constructed dataset having incompatible parameters.

* Save raw data in binary dataset file.

* Update docs and fix parameter checking.

* Fix dataset loading.

* Add test for regularization.

* Fix bugs when saving and loading tree.

* Add test for load/save linear model.

* Remove unneeded code.

* Fix case where not enough leaf data for linear model.

* Simplify code.

* Speed up code.

* Speed up code.

* Simplify code.

* Speed up code.

* Fix bugs.

* Working version.

* Store feature data column-wise (not fully working yet).

* Fix bugs.

* Speed up.

* Speed up.

* Remove unneeded code.

* Small speedup.

* Speed up.

* Minor updates.

* Remove unneeded code.

* Fix bug.

* Fix bug.

* Speed up.

* Speed up.

* Simplify code.

* Remove unneeded code.

* Fix bug, add more tests.

* Fix bug and add test.

* Only store numerical features

* Fix bug and speed up using templates.

* Speed up prediction.

* Fix bug with regularisation

* Visual studio files.

* Working version

* Only check nans if necessary

* Store coeff matrix as an array.

* Align cache lines

* Align cache lines

* Preallocation coefficient calculation matrices

* Small speedups

* Small speedup

* Reverse cache alignment changes

* Change to dynamic schedule

* Update docs.

* Refactor so that linear tree learner is not a separate class.

* Add refit capability.

* Speed up

* Small speedups.

* Speed up add prediction to score.

* Fix bug

* Fix bug and speed up.

* Speed up dataload.

* Speed up dataload

* Use vectors instead of pointers

* Fix bug

* Add OMP exception handling.

* Change return type of LGBM_BoosterGetLinear to bool

* Change return type of LGBM_BoosterGetLinear back to int, only parameter type needed to change

* Remove unused internal_parent_ property of tree

* Remove unused parameter to CreateTreeLearner

* Remove reference to LinearTreeLearner

* Minor style issues

* Remove unneeded check

* Reverse temporary testing change

* Fix Visual Studio project files

* Restore LightGBM.vcxproj.filters

* Speed up

* Speed up

* Simplify code

* Update docs

* Simplify code

* Initialise storage space for max num threads

* Move Eigen to include directory and delete unused files

* Remove old files.

* Fix so it compiles with mingw

* Fix gpu tree learner

* Change AddPredictionToScore back to const

* Fix python lint error

* Fix C++ lint errors

* Change eigen to a submodule

* Update comment

* Add the eigen folder

* Try to fix build issues with eigen

* Remove eigen files

* Add eigen as submodule

* Fix include paths

* Exclude eigen files from Python linter

* Ignore eigen folders for pydocstyle

* Fix C++ linting errors

* Fix docs

* Fix docs

* Exclude eigen directories from doxygen

* Update manifest to include eigen

* Update build_r to include eigen files

* Fix compiler warnings

* Store raw feature data as float

* Use float for calculating linear coefficients

* Remove eigen directory from GLOB

* Don't compile linear model code when building R package

* Fix doxygen issue

* Fix lint issue

* Fix lint issue

* Remove uneeded code

* Restore delected lines

* Restore delected lines

* Change return type of has_raw to bool

* Update docs

* Rename some variables and functions for readability

* Make tree_learner parameter const in AddScore

* Fix style issues

* Pass vectors as const reference when setting tree properties

* Make temporary storage of serial_tree_learner mutable so we can make the object's methods const

* Remove get_raw_size, use num_numeric_features instead

* Fix typo

* Make contains_nan_ and any_nan_ properties immutable again

* Remove data_has_nan_ property of tree

* Remove temporary test code

* Make linear_tree a dataset param

* Fix lint error

* Make LinearTreeLearner a separate class

* Fix lint errors

* Fix lint error

* Add linear_tree_learner.o

* Simulate omp_get_max_threads if openmp is not available

* Update PushOneData to also store raw data.

* Cast size to int

* Fix bug in ReshapeRaw

* Speed up code with multithreading

* Use OMP_NUM_THREADS

* Speed up with multithreading

* Update to use ArrayToString

* Fix tests

* Fix test

* Fix bug introduced in merge

* Minor updates

* Update docs

* [R-package] Remove CLI-only objects

* more guards

* more guards

* variable not string

* simplify fix

* revert build_r.R changes

* move define of global_timer
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* move APPLE_OUTPUT_DYLIB option closer to the rest options

* Update CMakeLists.txt

* [R-package] Fix failures with R 3.6 and CMake

* min version

* Add specialized OpenCL/Python package build path

* Refer to upstream OpenCL repository

* Reset build job count in setup.py

* TEMPORARY: refer to OpenCL fork to ensure Linux CI builds succeed

* Remove intermediate cmake target

* Restrict OpenCL headers to documented API version

* Use command line definition to activate integrated build

* Flag reference to unofficial repo with FIXME

* TEMPORARY: update private repo tag for dependency

* Remove integrated build for non-Win32 and related cleanup

* Remove commented code

* Rename integrated OpenCL build option and other cleanups

* Small cleanups

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

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

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

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

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

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

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

* Update CMakeIntegratedOpenCL.cmake

Targeted download of Boost submodules.
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

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

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* redirect log to python console (#3090)

* redir log to python console

* fix pylint

* Apply suggestions from code review

* Update basic.py

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

* Update c_api.h

* Apply suggestions from code review

* Apply suggestions from code review

* super-minor: better wording
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: StrikerRUS <nekit94-12@hotmail.com>

* re-order includes (fixes #3132) (#3133)

* Revert "re-order includes (fixes #3132) (#3133)" (#3153)

This reverts commit 656d2676

.

* Missing change from previous rebase

* Minor cleanup and removal of development scripts.

* Only set gpu_use_dp on by default for CUDA. Other minor change.

* Fix python lint indentation problem.

* More python lint issues.

* Big lint cleanup - more to come.

* Another large lint cleanup - more to come.

* Even more lint cleanup.

* Minor cleanup so less differences in code.

* Revert is_use_subset changes

* Another rebase from master to fix recent conflicts.

* More lint.

* Simple code cleanup - add & remove blank lines, revert unneccessary format changes, remove added dead code.

* Removed parameters added for CUDA and various bug fix.

* Yet more lint and unneccessary changes.

* Revert another change.

* Removal of unneccessary code.

* temporary appveyor.yml for building and testing

* Remove return value in ReSize

* Removal of unused variables.

* Code cleanup from reviewers suggestions.

* Removal of FIXME comments and unused defines.

* More reviewers comments cleanup.

* More reviewers comments cleanup.

* More reviewers comments cleanup.

* Fix config variables.

* Attempt to fix check-docs failure

* Update Paramster.rst for num_gpu

* Removing test appveyor.yml

* Add ƒCUDA_RESOLVE_DEVICE_SYMBOLS to libraries to fix linking issue.

* Fixed handling of data elements less than 2K.

* More reviewers comments cleanup.

* Removal of TODO and fix printing of int64_t

* Add cuda change for CI testing and remove cuda from device_type in python.

* Missed one change form previous check-in

* Removal AdditionConfig and fix settings.

* Limit number of GPUs to one for now in CUDA.

* Update Parameters.rst for previous check-in

* Whitespace removal.

* Cleanup unused code.

* Changed uint/ushort/ulong to unsigned int/short/long to help Windows based CUDA compiler work.

* Lint change from previous check-in.

* Changes based on reviewers comments.

* More reviewer comment changes.

* Adding warning for is_sparse. Revert tmp_subset code. Only return FeatureGroupData if not is_multi_val_

* Fix so that CUDA code will compile even if you enable the SCORE_T_USE_DOUBLE define.

* Reviewer comment cleanup.

* Replace warning with Log message. Removal of some of the USE_CUDA. Fix typo and removal of pragma once.

* Remove PRINT debug for CUDA code.

* Allow to use of multiple GPUs for CUDA.

* More multi-GPUs enablement for CUDA.

* More code cleanup based on reviews comments.

* Update docs with latest config changes.
Co-authored-by: Gordon Fossum <fossum@us.ibm.com>
Co-authored-by: ChipKerchner <ckerchne@linux.vnet.ibm.com>
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: StrikerRUS <nekit94-12@hotmail.com>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update install.libs.R

* Update CMakeLists.txt

* [R-package] CMake fixes to support MSVC

* simplifications

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

* removed MSVC_RUNTIME_LIBRARY property

* fixed FindLibR search for LIBR_CORE_LIBRARY

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

* made R.lib linking more explicit

* add R_DOT_LIB_FILE to cache

* changed R.lib CMake name

* fix placementt tof R_MSVC_CORE_LIBRARY

* empty commit

* change MSVC library name

* one more name change
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* [R-package] started cutting over from custom R-to-C interface to R.h

* replaced LGBM_SE with SEXP

* fixed error about ocnflicting definitions of length

* got linking working

* more stuff

* eliminated R CMD CHECK note about printing

* switched from hard-coded include dir to the one from FindLibR.cmake

* cleaned up formatting in FindLibR.cmake

* commented-out everything in CI that does not touch R

* more changes

* trying to get better logs

* tried ignoring

* added error message to confirm a suspicion

* still trying to find R during R CMD CHECK

* restore full CI

* fixed comment

* Update R-package/src/cmake/modules/FindLibR.cmake

* changed strategy for finding LIBR_HOME on Windows

* Removed 32-bit Windows stuff in FindLibR.cmake

* Update R-package/src/cmake/modules/FindLibR.cmake

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

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

* Update R-package/src/cmake/modules/FindLibR.cmake
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* removed some duplication in cmake scripts

* Update R-package/src/cmake/modules/FindLibR.cmake
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* Update R-package/src/cmake/modules/FindLibR.cmake
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* Update R-package/src/cmake/modules/FindLibR.cmake
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* Update R-package/src/cmake/modules/FindLibR.cmake
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* Update R-package/src/cmake/modules/FindLibR.cmake
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* Update R-package/src/cmake/modules/FindLibR.cmake
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* added LIBR_CORE_LIBRARY back

* small fixes to CMakeLists

* simplified FindLibR.cmake

* some fixes for windows

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

* allowed for directly passing LIBR_EXECUTABLE to FindLibR.cmake

* reorganized FindLibR.cmake to catch more cases

* clean up inconsistencies  in R calls in FindLibR.cmake

* Update R-package/src/cmake/modules/FindLibR.cmake
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* removed unnecessary log messages

* removed unnecessary unset() call
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>