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Use conda to build python packages during GPU tests #4702
Use conda to build python packages during GPU tests #4702
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Codecov Report
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## branch-22.06 #4702 +/- ##
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Hits ? 22306
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rerun tests |
Signed-off-by: Jordan Jacobelli <jjacobelli@nvidia.com>
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@gpucibot merge |
This PR convert the `from sources` build we are doing in GPU test job to a `conda build`. This is done for the following reasons: - This is required step to improve the Ops CI/CD setup to a more convenient pipeline - This is required to start using `conda` compilers and `mamba` to build RAPIDS packages - This prevent us from manually managing and installing the dependencies in GPU job - This ensure the packages can be installed - This ensure the tests are running and working against the package content and not the build results. Currently the Python packages are not tested. This may increase the global pipeline time, but the usage of `mamba` should resolve this as `mamba` is faster than `conda` to build packages Authors: - Jordan Jacobelli (https://github.com/Ethyling) Approvers: - AJ Schmidt (https://github.com/ajschmidt8) - Dante Gama Dessavre (https://github.com/dantegd) URL: rapidsai#4702
This PR convert the
from sources
build we are doing in GPU test job to aconda build
. This is done for the following reasons:conda
compilers andmamba
to build RAPIDS packagesThis may increase the global pipeline time, but the usage of
mamba
should resolve this asmamba
is faster thanconda
to build packages