load data before comms and nccl abort to solve issues with empty partitions #464
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eordentlich
commented
Oct 7, 2023
| @@ -326,7 +326,7 @@ def test_nearest_neighbors( | |||
| random_state=0, | |||
| ) # make_blobs creates a random dataset of isotropic gaussian blobs. | |||
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| # set average norm to be 1 to allow comparisons with default error thresholds | |||
| # set average norm sq to be 1 to allow comparisons with default error thresholds | |||
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This was still wrong so correcting in this PR.
leewyang
previously approved these changes
Oct 9, 2023
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Did some benchmarking with 2 gpus and the change (additional barrier) seems to add 1sec of latency to fit. |
Signed-off-by: Erik Ordentlich <[email protected]>
Signed-off-by: Erik Ordentlich <[email protected]>
Signed-off-by: Erik Ordentlich <[email protected]>
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Moving data loading before nccl comms setup seems to also solve the issues without the extra barrier in previous version. Tested with uvm on databricks and seems to be ok. |
leewyang
approved these changes
Oct 12, 2023
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In further testing of handling of empty partitions added previously on workstation and dgx (local mode) found that even though we now raise an exception in this case, this can still result in hangs in python workers. Sometimes the job hangs (dgx) and other times exits but the python worker isn't killed (docker on local workstation).
Loading data before setting up comms (to prevent a worker with data from racing ahead and starting e.g an allreduce) and the nccl abort seems to clean things up in these cases.
I don't think this is the root cause of #453 but should be addressed.