[BUG] Test "SPARK-24957: average with decimal followed by aggregation returning wrong result" failed.

[firestarman]

Premerge is breaking because the the following test keeps failing for scala2.13.

- SPARK-24957: average with decimal followed by aggregation returning wrong result *** FAILED ***
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3.0 (TID 3) (liangcail-ubuntu20 executor driver): java.lang.AssertionError: Type conversion is not allowed from Table{columns=[ColumnVector{rows=1, type=STRING, nullCount=Optional.empty, offHeap=(ID: 780751 7f8b600296c0)}, ColumnVector{rows=1, type=UINT64, nullCount=Optional.empty, offHeap=(ID: 780752 7f8b6001ba80)}, ColumnVector{rows=1, type=UINT64, nullCount=Optional.empty, offHeap=(ID: 780753 7f8b6001c750)}, ColumnVector{rows=1, type=UINT64, nullCount=Optional.empty, offHeap=(ID: 780754 7f8b6001caa0)}, ColumnVector{rows=1, type=INT64, nullCount=Optional.empty, offHeap=(ID: 780755 7f8b6001cf00)}, ColumnVector{rows=1, type=INT64, nullCount=Optional.empty, offHeap=(ID: 780756 7f8b6001d250)}], cudfTable=140236587855568, rows=1} to [StringType, LongType, LongType, LongType, LongType, LongType] columns 0 to 6
	at com.nvidia.spark.rapids.GpuColumnVector.from(GpuColumnVector.java:674)
	at com.nvidia.spark.rapids.GpuColumnVector.from(GpuColumnVector.java:555)
	at com.nvidia.spark.rapids.AggHelper.$anonfun$performGroupByAggregation$4(GpuAggregateExec.scala:394)
	at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:30)
	at com.nvidia.spark.rapids.AggHelper.$anonfun$performGroupByAggregation$2(GpuAggregateExec.scala:393)
	at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:30)
	at com.nvidia.spark.rapids.AggHelper.$anonfun$performGroupByAggregation$1(GpuAggregateExec.scala:378)
	at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:30)
	at com.nvidia.spark.rapids.AggHelper.performGroupByAggregation(GpuAggregateExec.scala:377)
	at com.nvidia.spark.rapids.AggHelper.aggregate(GpuAggregateExec.scala:292)
	at com.nvidia.spark.rapids.AggHelper.$anonfun$aggregateWithoutCombine$4(GpuAggregateExec.scala:311)
	at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:30)
	at com.nvidia.spark.rapids.AggHelper.$anonfun$aggregateWithoutCombine$3(GpuAggregateExec.scala:309)
	at com.nvidia.spark.rapids.Arm$.withResource(Arm.scala:30)
	at com.nvidia.spark.rapids.AggHelper.$anonfun$aggregateWithoutCombine$2(GpuAggregateExec.scala:308)
	at com.nvidia.spark.rapids.RmmRapidsRetryIterator$AutoCloseableAttemptSpliterator.next(RmmRapidsRetryIterator.scala:477)
	at com.nvidia.spark.rapids.RmmRapidsRetryIterator$RmmRapidsRetryIterator.next(RmmRapidsRetryIterator.scala:613)
	at com.nvidia.spark.rapids.RmmRapidsRetryIterator$RmmRapidsRetryAutoCloseableIterator.next(RmmRapidsRetryIterator.scala:517)
	at scala.collection.Iterator$$anon$10.next(Iterator.scala:611)
	at scala.collection.Iterator$$anon$9.next(Iterator.scala:577)
	at com.nvidia.spark.rapids.GpuMergeAggregateIterator.aggregateInputBatches(GpuAggregateExec.scala:795)
	at com.nvidia.spark.rapids.GpuMergeAggregateIterator.$anonfun$next$2(GpuAggregateExec.scala:752)
	at scala.Option.getOrElse(Option.scala:201)
	at com.nvidia.spark.rapids.GpuMergeAggregateIterator.next(GpuAggregateExec.scala:749)
	at com.nvidia.spark.rapids.GpuMergeAggregateIterator.next(GpuAggregateExec.scala:711)
	at scala.collection.Iterator$$anon$9.next(Iterator.scala:577)
	at com.nvidia.spark.rapids.DynamicGpuPartialSortAggregateIterator.$anonfun$next$6(GpuAggregateExec.scala:2042)
	at scala.Option.map(Option.scala:242)
	at com.nvidia.spark.rapids.DynamicGpuPartialSortAggregateIterator.next(GpuAggregateExec.scala:2042)
	at com.nvidia.spark.rapids.DynamicGpuPartialSortAggregateIterator.next(GpuAggregateExec.scala:1906)
	at com.nvidia.spark.rapids.AbstractProjectSplitIterator.next(basicPhysicalOperators.scala:247)
	at com.nvidia.spark.rapids.AbstractProjectSplitIterator.next(basicPhysicalOperators.scala:227)
	at scala.collection.Iterator$$anon$9.next(Iterator.scala:577)

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