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Bump Dask + Distributed to 2.23.0 #108
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@jakirkham can you review https://gpuci.gpuopenanalytics.com/job/rapidsai/job/integration/job/prb/job/meta-pkg-nightly-build/193/ and see why the 0.16 builds are not conda solving? I know CUDA 11 will not solve as we have no pkgs yet, but 10.1/10.2 should |
So I tried creating an environment with
Going to try restarting CI in case we just ran into a sporadic issue. rerun tests |
rerun tests |
It looks like |
0.16 for CUDA 11 should fail as we don't have pkgs out for them yet. That said the rest of 0.16 should solve and it is not |
@raydouglass should be able to help see if this PR is the cause or not |
FWIW all of the 0.16 builds (not just CUDA 11) failed in that PR as well. Anyways not trying to pick on that PR. More just trying to say that the failures don't appears specific to this change. Also am trying to figure out if these 0.16 failures are otherwise known or expected at this point. |
I understand John, but as that PR is merged, I'm trying to ask for triage for the given output here. @raydouglass said he would also look into this and help. I'm fine with #107 introduced X and is missing Y so it causes this PR to also fail. Then we can patch it. Without the info, no matter the origin, we can't proceed is all I'm saying. |
I think I've found the problem. Waiting on a new build of xgboost and then a new PR to test and fix. |
Fix is in #111 |
#111 is merged rerun tests |
Thanks all! 😀 |
Includes this serialization performance improvement ( dask/distributed#4004 ) amongst other things.