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jnke2016
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[BUG] Failure occurring when running MG algos on very small datasets
[BUG] Failure when running MG algos on very small datasets
Apr 6, 2022
Does this happen with C++ benchmarking as well? (This shouldn't but if you can produce this in MG C++ testing, please let me know). Our MG C++ implementation assumes that each process has partition(s) but partitions can have no vertex/edge.
@seunghwak . This bug is on the python side and I am fixing this. But I might have uncovered another bug seems to be C/C++ related(still with small datasets) where I get this error Exception: "RuntimeError('non-success value returned from uniform_nbr_sample: CUGRAPH_UNKNOWN_ERROR')"
Our MG implementation assumes that each workers has a partition, which is unlikely to occur for very small datasets and a large number of GPUs
Steps/Code to reproduce bug
Run MG Neighborhood sampling with 3+ GPUs on the
small_tree.csv
datasetsThe text was updated successfully, but these errors were encountered: