GitLab

* [ci] [c++] use 'pre-commit' to run 'cpplint', upgrade to 'cpplint' 2.0.2

* remove bashisms

* one more pipefail use

* another pipefail

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

* [ROCm] add support for ROCm/HIP

- CMakeLists.txt ROCm updates, also replace glob with explicit file list
- initial warpSize interop changes
- helpers/hipify.sh script added
- .gitignore to ignore generated hip source files

* more rocm updates

- disable compiler warnings
- move PercentileDevice __device__ template function into header
- bug fixes for __host__ __define__ and __HIP__ preprocessor symbols

* more bug fixes

* warp 32 vs 64 updates

* lint fixes

* missing device_index variable

* accidental inclusion of hip headers

* copyright notice compliance

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

* fix lint issue

* clean up

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

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

* clean up CMakeLists.txt

use WARPSIZE

* use WARPSIZE

* fix share buffer size

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Co-authored-by: shiyu1994 <shiyu_k1994@qq.com>
Co-authored-by: James Lamb <jaylamb20@gmail.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: Yu Shi <yushi2@microsoft.com>

Co-authored-by: shiyu1994 <shiyu_k1994@qq.com>
Co-authored-by: GitHub Actions Bot <githubactionsbot@users.noreply.github.com>

[python-package] do not copy column-major numpy arrays when creating Dataset from list of arrays (#6773)
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

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

* Remove only cpu note

* Change Note for linear tree

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Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

Co-authored-by: Atanas Dimitrov <nasko119@abv.bg>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* add bagging by query for lambdarank

* fix pre-commit

* fix bagging by query with cuda

* fix bagging by query test case

* fix bagging by query test case

* fix bagging by query test case

* add #include <vector>

* Update include/LightGBM/objective_function.h
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

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

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

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

[ci] [R-package] add CI jobs covering more CRAN "additional checks", fix R_NO_REMAP warnings (fixes #6369) (#6523)

* [ci] [R-package] add CI jobs testing newer compilers

* set up vignette-processing dependencies

* remove tinytex

* set up pandoc

* allow NOTEs, one more R_NO_REMAP guard

* restore other CI

* one more R_NO_REMAP guard

* fail builds producing more than 1 NOTE

* update approach for running R CMD check

* fix filepath

* fix paths

* fix variable name

* echo lines

* fix piping

* fix file extension

* clean up

* make R CMD check stricter

fix documentation for quantized training

* [python-package] Allow to pass early stopping min delta in params

* Fix test

* Add separate test

* Fix

* Add to cpp config

* Adjust test

* Adjust test

* Debug

* Revert

* Apply suggestions from code review

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

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

[R-package] [c++] add tighter multithreading control, avoid global OpenMP side effects (fixes #4705, fixes #5102) (#6226)

* add quantized training (first stage)

* add histogram construction functions for integer gradients

* add stochastic rounding

* update docs

* fix compilation errors by adding template instantiations

* update files for compilation

* fix compilation of gpu version

* initialize gradient discretizer before share states

* add a test case for quantized training

* add quantized training for data distributed training

* Delete origin.pred

* Delete ifelse.pred

* Delete LightGBM_model.txt

* remove useless changes

* fix lint error

* remove debug loggings

* fix mismatch of vector and allocator types

* remove changes in main.cpp

* fix bugs with uninitialized gradient discretizer

* initialize ordered gradients in gradient discretizer

* disable quantized training with gpu and cuda

fix msvc compilation errors and warnings

* fix bug in data parallel tree learner

* make quantized training test deterministic

* make quantized training in test case more accurate

* refactor test_quantized_training

* fix leaf splits initialization with quantized training

* check distributed quantized training result

* add cuda gradient discretizer

* add quantized training for CUDA version in tree learner

* remove cuda computability 6.1 and 6.2

* fix parts of gpu quantized training errors and warnings

* fix build-python.sh to install locally built version

* fix memory access bugs

* fix lint errors

* mark cuda quantized training on cuda with categorical features as unsupported

* rename cuda_utils.h to cuda_utils.hu

* enable quantized training with cuda

* fix cuda quantized training with sparse row data

* allow using global memory buffer in histogram construction with cuda quantized training

* recover build-python.sh

enlarge allowed package size to 100M