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This repository has been archived by the owner on Apr 19, 2023. It is now read-only.
@wbo4958 Hi Bobby, can you help with this issue? What condition can cause "Features does not exist"?
@tristers-at-square
BTW, we have a new repo https://github.com/NVIDIA/spark-rapids-examples.
I see you're running with the latest version( with rapids-4-spark 21.08.0). The steps should be no change.
It'll be better that you can file the issue to the new repo when you have any issue for the latest version.
Thanks.
Describe the bug
When trying to train an XGBoost classifier with GPU's, it produces the following error:
IllegalArgumentException: features does not exist
Steps/Code to reproduce bug
Calling the fit method as follows:
Expected behavior
I expected the model to successfully train when running on GPU's.
Environment details (please complete the following information)
Running Spark job on GCP Dataproc with Nvidia Tesla T4 GPU.
The following JAR's are in the /usr/lib/spark/jars/ classPath:
Using the following DataProc initializers to install GPU Drivers and Rapids Accelerators:
Using the following Spark parameter configurations:
"spark.executor.resource.gpu.amount": "1"
"spark.task.resource.gpu.amount": "1"
"spark.rapids.sql.explain": "ALL"
"spark.rapids.sql.concurrentGpuTasks": "2"
"spark.rapids.memory.pinnedPool.size": "2G"
"spark.executor.extraJavaOptions": "-Dai.rapids.cudf.prefer-pinned=true"
"spark.locality.wait": "0s"
"spark.plugins": "com.nvidia.spark.SQLPlugin"
"spark.rapids.sql.hasNans": "false"
"spark.rapids.sql.batchSizeBytes": "512M"
"spark.rapids.sql.reader.batchSizeBytes": "768M"
"spark.rapids.sql.variableFloatAgg.enabled": "true"
"spark.rapids.sql.decimalType.enabled": "true"
"spark.rapids.memory.gpu.pooling.enabled": "false"
"spark.executor.resource.gpu.discoveryScript": "/usr/lib/spark/scripts/gpu/getGpusResources.sh"
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