GitLab

[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

---------
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

* Update dataset.h

* Update metadata.cpp

* Update rank_objective.hpp

* Update metadata.cpp

* Update rank_objective.hpp

* Update metadata.cpp

* Update dataset.h

* Update rank_objective.hpp

* Update metadata.cpp

* Update test_engine.py

* Update test_engine.py

* Add files via upload

* Update test_engine.py

* Update test_engine.py

* Update test_engine.py

* Update test_engine.py

* Update test_engine.py

* Update _rank.train.position

* Update test_engine.py

* Update test_engine.py

* Update test_engine.py

* Update test_engine.py

* Update _rank.train.position

* Update _rank.train.position

* Update test_engine.py

* Update _rank.train.position

* Update test_engine.py

* Update test_engine.py

* Update test_engine.py

* Update test_engine.py

* Update test_engine.py

* Update the position of import statement

* Update rank_objective.hpp

* Update config.h

* Update config_auto.cpp

* Update rank_objective.hpp

* Update rank_objective.hpp

* update documentation

* remove extra blank line

* Update src/io/metadata.cpp
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update src/io/metadata.cpp
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* remove _rank.train.position

* add position in python API

* fix set_positions in basic.py

* Update Advanced-Topics.rst

* Update Advanced-Topics.rst

* Update Advanced-Topics.rst

* Update Advanced-Topics.rst

* Update Advanced-Topics.rst

* Update Advanced-Topics.rst

* Update Advanced-Topics.rst

* Update Advanced-Topics.rst

* Update Advanced-Topics.rst

* Update Advanced-Topics.rst

* Update Advanced-Topics.rst

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

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

* Update Advanced-Topics.rst

* Update Advanced-Topics.rst

* Update Advanced-Topics.rst

* Update Advanced-Topics.rst

* remove List from _LGBM_PositionType

* move new position parameter to the last in Dataset constructor

* add position_filename as a parameter

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

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

* Update Advanced-Topics.rst

* Update src/objective/rank_objective.hpp
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update src/io/metadata.cpp
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update metadata.cpp

* Update python-package/lightgbm/basic.py
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update python-package/lightgbm/basic.py
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update python-package/lightgbm/basic.py
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update python-package/lightgbm/basic.py
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update src/io/metadata.cpp
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* more infomrative fatal message

address more comments

* update documentation for more flexible position specification

* fix SetPosition

add tests for get_position and set_position

* remove position_filename

* remove useless changes

* Update python-package/lightgbm/basic.py
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* remove useless files

* move position file when position set in Dataset

* warn when positions are overwritten

* skip ranking with position test in cuda

* split test case

* remove useless import

* Update test_engine.py

* Update test_engine.py

* Update test_engine.py

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

* Update Parameters.rst

* Update rank_objective.hpp

* Update config.h

* update config_auto.cppp

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

* fix randomness in test case for gpu

---------
Co-authored-by: shiyu1994 <shiyu_k1994@qq.com>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* set gpu device id in open mp threads

* move SetCUDADevice outside for loop

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

* add l1 metric for cuda_exp

* add huber/fair metric for cuda_exp

* add poisson/mape/gamma/gamma_deviance/tweedie  metrics for cuda_exp

* fix cpplint error

* fix return  error

* 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 quantile regression objective

* remove white space

* resolve merge conflicts

* remove useless changes

* remove useless changes

* enable cuda quantile regression objective

* add a test case for quantile regression objective

* remove useless changes

* remove useless changes

* reduce DP_SHARED_HIST_SIZE to 5176 for CUDA 10

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

* Add serialization of reference dataset

* lint and missing file

* Fixes from reviewers

* responded to comments

* revert sdk change