[BUG] To honor spark.rapids.memory.gpu.pool=NONE #1034
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Signed-off-by: Peixin Li <pxli@nyu.edu>
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Signed-off-by: Peixin Li pxli@nyu.edu
If user set,
The RMM will fail to init w/
CUDA_DEFAULTdue to GpuDeviceManager.scala#L191-L192which assigns non-zero value to
adjustedMaxAllocation, and then except at Rmm.java#L179-L182As
spark.rapids.memory.gpu.pooling.enabledwill be deprecated, so we make a simple workaround for now