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  1. 22 Dec, 2020 2 commits
  3. 21 Dec, 2020 1 commit
  5. 20 Dec, 2020 1 commit
  7. 19 Dec, 2020 1 commit
    • Itamar Turner-Trauring's avatar
      [python] Windows wheels that support GPUs via OpenCL (#3403) · 222a7368
      Itamar Turner-Trauring authored 
      

* Add specialized OpenCL/Python package build path

* Refer to upstream OpenCL repository

* Reset build job count in setup.py

* Run test for dual CPU/GPU code in CI

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

* Try switching to OpenCL 2.0

* Add --opencl-python-pacakge option to wheel

* Fix some typos.

* Remove intermediate cmake target

* Restrict OpenCL headers to documented API version

* Refresh the environment after installation

* Try testing with two processes

* Use command line definition to activate integrated build

* Try newer OpenCL runtime

* If we hit OpenCL code path that's good enough

* Make tests run correctly

* Correct directory

* Flag reference to unofficial repo with FIXME

* TEMPORARY: update private repo tag for dependency

* Further post-merge fixes.

* Fix attribute name.

* Reformat with black.

* Rewrite config.h before library compilation for Windows wheel

* Run dual cpu/gpu test once only for Windows bdist CI

* Avoid C API tests when building gpu library for wheel

* TEMPORARY -- add clinfo tool to vm for debugging

* Increase compilation logging

* Rename OpenCL registry parameter after driver installation

* Install legacy OpenCL runtime

* ...

* Remove config.h change, clinfo installation, latest opencl runtime reference

* Add explicit script exit

* revert to 18.1 intel driver

* Run test_dual.py in two different modes

* Revert "Run test_dual.py in two different modes"

This reverts commit cbfec02659816f0cb321e1184994a9c2f37d2a77.

* Remove unused expected failure test

* Install OpenCL in separate powershell script

* fix setup.py imports

* activate conda env after session update

* separate update functions; exit opencl installation on error

* nothing; start pipeline

* download from original source

* specify tls version for installer download

* eliminate variable from command

* download opencl installer in parts

* remove duplicate setup.py command class entry

* download smaller parts

* remove redundant bdist wheel class

* Import chocolatey modules and use RefreshEnv

* insert pipeline cache for opencl installer

* rerun to ensure pipeline cache hit

* add comments, test another pipeline cache hit

* remove cache task; download full installer file from new location

* try another installer download timing

* reinsert pipeline cache

* retain cache task; download full file on cache miss

* test cache hit again

* remove todo
Co-authored-by: default avatarTP Boudreau <tpboudreau@gmail.com>
      222a7368
  9. 18 Dec, 2020 1 commit
  11. 15 Dec, 2020 1 commit
  13. 11 Dec, 2020 4 commits
  15. 10 Dec, 2020 1 commit
  17. 09 Dec, 2020 2 commits
    • Nikita Titov's avatar
      [python] Drop Python 2 support (#3581) · 44a6fb7f
      Nikita Titov authored 
      * Update setup.py

* Update .appveyor.yml

* Update .travis.yml

* Update .vsts-ci.yml

* Update __init__.py

* Update test.sh

* Update test_windows.ps1

* Update advanced_example.py

* Update requirements_base.txt

* Update conf.py

* Update conf.py

* Update test_engine.py

* Update utils.py

* Update dockerfile-r

* Update README.md

* Update dockerfile.gpu

* Update test_consistency.py

* Update basic.py

* Update compat.py

* Update engine.py

* Update sklearn.py

* Update sklearn.py

* Update callback.py

* Update setup.py

* Update __init__.py

* Update plotting.py

* Update sklearn.py

* Update engine.py

* Update compat.py

* Update callback.py

* Update basic.py

* Update compat.py

* Update basic.py

* Update basic.py

* Update compat.py

* Update compat.py

* Update plotting.py

* Update engine.py

* Update basic.py

* Update sklearn.py

* Update compat.py

* Update engine.py

* Update engine.py

* Update callback.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update sklearn.py

* Update sklearn.py

* Update plotting.py

* Update sklearn.py

* Update compat.py

* Update compat.py

* Update engine.py

* Update plotting.py

* Update sklearn.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update compat.py

* Update compat.py

* Update compat.py

* Update engine.py

* Update basic.py

* Update compat.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update compat.py

* Update compat.py

* Update basic.py

* Update basic.py

* Update .vsts-ci.yml

* Update .vsts-ci.yml

* Update conf.py

* Revert "Update dockerfile-r"

This reverts commit 4ff6ffc7e3eeda24cc6a59a3bb0c973f02d9d71c.
      44a6fb7f
    • Nikita Titov's avatar
      [ci] Bump version for development (#3633) · 1fb82e27
      Nikita Titov authored 
      

* Update VERSION.txt

* Update .appveyor.yml

* update configure and cran-comments
Co-authored-by: default avatarJames Lamb <jaylamb20@gmail.com>
      1fb82e27
  19. 08 Dec, 2020 3 commits
    • Nikita Titov's avatar
      [docs] add Kubeflow operator repo and link to example (#3632) · 37da4ed7
      Nikita Titov authored 
      * Update README.md

* Update Parallel-Learning-Guide.rst

* Update Parallel-Learning-Guide.rst
      37da4ed7
    • Alberto Ferreira's avatar
      Fix model locale issue and improve model R/W performance. (#3405) · 792c9303
      Alberto Ferreira authored 
      * Fix LightGBM models locale sensitivity and improve R/W performance.

When Java is used, the default C++ locale is broken. This is true for
Java providers that use the C API or even Python models that require JEP.

This patch solves that issue making the model reads/writes insensitive
to such settings.
To achieve it, within the model read/write codebase:
 - C++ streams are imbued with the classic locale
 - Calls to functions that are dependent on the locale are replaced
 - The default locale is not changed!

This approach means:
 - The user's locale is never tampered with, avoiding issues such as
    https://github.com/microsoft/LightGBM/issues/2979 with the previous
    approach https://github.com/microsoft/LightGBM/pull/2891
 - Datasets can still be read according the user's locale
 - The model file has a single format independent of locale

Changes:
 - Add CommonC namespace which provides faster locale-independent versions of Common's methods
 - Model code makes conversions through CommonC
 - Cleanup unused Common methods
 - Performance improvements. Use fast libraries for locale-agnostic conversion:
   - value->string: https://github.com/fmtlib/fmt
   - string->double: https://github.com/lemire/fast_double_parser (10x
      faster double parsing according to their benchmark)

Bugfixes:
 - https://github.com/microsoft/LightGBM/issues/2500
 - https://github.com/microsoft/LightGBM/issues/2890
 - https://github.com/ninia/jep/issues/205

 (as it is related to LGBM as well)

* Align CommonC namespace

* Add new external_libs/ to python setup

* Try fast_double_parser fix #1

Testing commit e09e5aad828bcb16bea7ed0ed8322e019112fdbe

If it works it should fix more LGBM builds

* CMake: Attempt to link fmt without explicit PUBLIC tag

* Exclude external_libs from linting

* Add exernal_libs to MANIFEST.in

* Set dynamic linking option for fmt.

* linting issues

* Try to fix lint includes

* Try to pass fPIC with static fmt lib

* Try CMake P_I_C option with fmt library

* [R-package] Add CMake support for R and CRAN

* Cleanup CMakeLists

* Try fmt hack to remove stdout

* Switch to header-only mode

* Add PRIVATE argument to target_link_libraries

* use fmt in header-only mode

* Remove CMakeLists comment

* Change OpenMP to PUBLIC linking in Mac

* Update fmt submodule to 7.1.2

* Use fmt in header-only-mode

* Remove fmt from CMakeLists.txt

* Upgrade fast_double_parser to v0.2.0

* Revert "Add PRIVATE argument to target_link_libraries"

This reverts commit 3dd45dde7b92531b2530ab54522bb843c56227a7.

* Address James Lamb's comments

* Update R-package/.Rbuildignore
Co-authored-by: default avatarJames Lamb <jaylamb20@gmail.com>

* Upgrade to fast_double_parser v0.3.0 - Solaris support

* Use legacy code only in Solaris

* Fix lint issues

* Fix comment

* Address StrikerRUS's comments (solaris ifdef).

* Change header guards
Co-authored-by: default avatarJames Lamb <jaylamb20@gmail.com>
      792c9303
    • James Lamb's avatar
      release 3.1.1 (#3611) · 218446a5
      James Lamb authored 
      
Co-authored-by: default avatarStrikerRUS <nekit94-12@hotmail.com>
      218446a5
  21. 07 Dec, 2020 3 commits
  23. 05 Dec, 2020 1 commit
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  31. 30 Nov, 2020 2 commits
  33. 29 Nov, 2020 4 commits
  35. 28 Nov, 2020 2 commits
  37. 27 Nov, 2020 2 commits
  39. 26 Nov, 2020 1 commit
  41. 25 Nov, 2020 1 commit
  43. 24 Nov, 2020 3 commits