[BUG] "Sequence" function fails with "java.lang.UnsupportedOperationException: Not supported on UnsafeArrayData"

[viadea]

Describe the bug
"Sequence" function fails with "java.lang.UnsupportedOperationException: Not supported on UnsafeArrayData".

Full stacktrace:

java.lang.UnsupportedOperationException: Not supported on UnsafeArrayData.
	at org.apache.spark.sql.catalyst.expressions.UnsafeArrayData.array(UnsafeArrayData.java:108)
	at com.nvidia.spark.rapids.GpuScalar$.from(literals.scala:300)
	at com.nvidia.spark.rapids.GpuScalar.getBase(literals.scala:442)
	at com.nvidia.spark.rapids.GpuColumnVector.from(GpuColumnVector.java:856)
	at com.nvidia.spark.rapids.GpuExpressionsUtils$.$anonfun$resolveColumnVector$1(GpuExpressions.scala:74)
	at com.nvidia.spark.rapids.Arm.withResourceIfAllowed(Arm.scala:73)
	at com.nvidia.spark.rapids.Arm.withResourceIfAllowed$(Arm.scala:71)
	at com.nvidia.spark.rapids.GpuExpressionsUtils$.withResourceIfAllowed(GpuExpressions.scala:29)
	at com.nvidia.spark.rapids.GpuExpressionsUtils$.resolveColumnVector(GpuExpressions.scala:72)
	at com.nvidia.spark.rapids.GpuExpressionsUtils$.columnarEvalToColumn(GpuExpressions.scala:93)
	at com.nvidia.spark.rapids.GpuProjectExec$.projectSingle(basicPhysicalOperators.scala:70)
	at com.nvidia.spark.rapids.GpuProjectExec$.$anonfun$project$1(basicPhysicalOperators.scala:77)
	at com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.$anonfun$safeMap$1(implicits.scala:162)
	at com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.$anonfun$safeMap$1$adapted(implicits.scala:159)
	at scala.collection.immutable.List.foreach(List.scala:392)
	at com.nvidia.spark.rapids.RapidsPluginImplicits$MapsSafely.safeMap(implicits.scala:159)
	at com.nvidia.spark.rapids.RapidsPluginImplicits$AutoCloseableProducingSeq.safeMap(implicits.scala:194)
	at com.nvidia.spark.rapids.GpuProjectExec$.project(basicPhysicalOperators.scala:77)
	at com.nvidia.spark.rapids.GpuProjectExec$.projectAndClose(basicPhysicalOperators.scala:41)
	at com.nvidia.spark.rapids.GpuProjectExec.$anonfun$doExecuteColumnar$1(basicPhysicalOperators.scala:119)
	at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
	at com.nvidia.spark.rapids.ColumnarToRowIterator.$anonfun$fetchNextBatch$2(GpuColumnarToRowExec.scala:224)
	at com.nvidia.spark.rapids.Arm.withResource(Arm.scala:28)
	at com.nvidia.spark.rapids.Arm.withResource$(Arm.scala:26)
	at com.nvidia.spark.rapids.ColumnarToRowIterator.withResource(GpuColumnarToRowExec.scala:177)
	at com.nvidia.spark.rapids.ColumnarToRowIterator.fetchNextBatch(GpuColumnarToRowExec.scala:221)
	at com.nvidia.spark.rapids.ColumnarToRowIterator.loadNextBatch(GpuColumnarToRowExec.scala:198)
	at com.nvidia.spark.rapids.ColumnarToRowIterator.hasNext(GpuColumnarToRowExec.scala:238)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
	at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:345)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.run(Task.scala:131)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
	at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
	at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
	at java.base/java.lang.Thread.run(Thread.java:834)

Steps/Code to reproduce bug

spark.sql("SELECT sequence(1, 5)").collect()

Expected behavior

The query should not fail.
It should fallback on CPU if sequence function is not supported.

Environment details (please complete the following information)

• Environment location: [Standalone, YARN, Kubernetes, Cloud(specify cloud provider)]
• Spark configuration settings related to the issue

Spark 3.1.1 standalone cluster
21.10 snapshot jar

Additional context
Add any other context about the problem here.