Reduce the size of the cuml libraries

[robertmaynard]

By explicitly telling nvcc's fatbin pass to always compress device code we can ensure that our binaries are the smallest possible size.

See rapidsai/cudf#7583 for additional context.

[dantegd]

lgtm, it seems that only updating the copyright year in the cpp/CMakeLists.txt file is missing

[robertmaynard]

lgtm, it seems that only updating the copyright year in the cpp/CMakeLists.txt file is missing

What should it be 2019-2021?

[robertmaynard]

lgtm, it seems that only updating the copyright year in the cpp/CMakeLists.txt file is missing

On second read it looks like the copyright failure is coming from :

python/cuml/experimental/preprocessing/__init__.py:2 Issue: Current year not included in the copyright header

Which I didn't touch.

[dantegd]

lgtm, it seems that only updating the copyright year in the cpp/CMakeLists.txt file is missing

What should it be 2019-2021?

The copyright checker seems to have gone crazy in a few PRs (I should've checked the year in the cmakelists file..), checking what's the issue

[JohnZed]

rerun tests

[JohnZed]

On another PR, rerunning seemed to fix the copyright checker (which was picking up unchanged files)

[JohnZed]

rerun tests

[trivialfis]

Out of curiosity, how much did you save?

[trivialfis]

Never mind, I saw the impressive number on the linked issue.

[codecov-io]

Codecov Report

Merging #3702 (7e350fe) into branch-0.19 (fd9ec89) will increase coverage by 2.23%.
The diff coverage is 100.00%.

@@               Coverage Diff               @@
##           branch-0.19    #3702      +/-   ##
===============================================
+ Coverage        80.70%   82.94%   +2.23%     
===============================================
  Files              227      227              
  Lines            17615    17726     +111     
===============================================
+ Hits             14217    14702     +485     
+ Misses            3398     3024     -374     

Flag	Coverage Δ
dask	46.40% <100.00%> (+1.41%)	⬆️
non-dask	75.02% <100.00%> (+2.11%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
...cuml/_thirdparty/sklearn/preprocessing/__init__.py	100.00% <ø> (ø)
...on/cuml/_thirdparty/sklearn/preprocessing/_data.py	64.40% <ø> (+1.29%)	⬆️
...hirdparty/sklearn/preprocessing/_discretization.py	83.33% <ø> (-0.88%)	⬇️
...l/_thirdparty/sklearn/preprocessing/_imputation.py	85.54% <ø> (+22.74%)	⬆️
python/cuml/_thirdparty/sklearn/utils/extmath.py	56.89% <ø> (ø)
...cuml/_thirdparty/sklearn/utils/skl_dependencies.py	80.00% <ø> (+26.07%)	⬆️
...ython/cuml/_thirdparty/sklearn/utils/validation.py	18.41% <ø> (-4.04%)	⬇️
python/cuml/cluster/__init__.py	100.00% <ø> (ø)
python/cuml/cluster/agglomerative.pyx	96.47% <ø> (ø)
python/cuml/cluster/dbscan.pyx	98.23% <ø> (-1.77%)	⬇️
... and 176 more

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[dantegd]

@gpucibot merge