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[EM] Add example and tests. #10916
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[EM] Add example and tests. #10916
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cc @rongou . |
trivialfis
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[EM] Add example for distributed training.
[EM] Add example and tests.
Oct 21, 2024
rongou
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Oct 21, 2024
# The combination of pool and async is by design. As XGBoost needs to allocate large | ||
# pages repeatly, it's not easy to handle fragmentation. We can use more experiments | ||
# here. | ||
mr = rmm.mr.PoolMemoryResource(rmm.mr.CudaAsyncMemoryResource()) |
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Yeah this is a bit strange, cudaMallocAsync
is basically a pool implemented in the driver. Maybe you can try to set initial_pool_size
to something bigger (e.g. free - 1GB
) to see if that helps.
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CPU inference still has some issues with extmem + cat, will work on it.