- 31 Aug, 2022 2 commits
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shiyu1994 authored
* add (l2) regression objective for cuda_exp * fix lint errors * correct time tag
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shiyu1994 authored
* 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
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- 29 Aug, 2022 1 commit
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shiyu1994 authored
* 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:
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- 29 Jul, 2022 1 commit
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shiyu1994 authored
* 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
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- 23 Mar, 2022 1 commit
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shiyu1994 authored
* 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:
Yu Shi <shiyu1994@qq.com> Co-authored-by:
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- 11 Jan, 2021 1 commit
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Chip Kerchner authored
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- 26 Oct, 2020 1 commit
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Pengfei Shi authored
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- 20 Sep, 2020 1 commit
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Chip Kerchner authored
* 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:
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 CUDA_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:
James Lamb <jaylamb20@gmail.com>
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