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GPT2 crashes when using configuration .setDoSample(True)

Open ahmedlone127 opened this issue 2 years ago • 2 comments

Description

GPT2 crashes when predicting with configuration .setDoSample(True)

Steps to Reproduce

https://colab.research.google.com/drive/1nHqg3bbUI41rHyUq9TUTpKA2dHV2oqQl?usp=sharing

Error


---------------------------------------------------------------------------
Py4JJavaError                             Traceback (most recent call last)
[<ipython-input-10-5b2fa8844f4d>](https://localhost:8080/#) in <module>()
      5 sample_df= spark.createDataFrame(sample_texts).toDF("id", "text")
      6 result = pipeline.transform(sample_df)
----> 7 result.select("id", "generation.result").show(truncate=False)

3 frames
[/usr/local/lib/python3.7/dist-packages/py4j/protocol.py](https://localhost:8080/#) in get_return_value(answer, gateway_client, target_id, name)
    326                 raise Py4JJavaError(
    327                     "An error occurred while calling {0}{1}{2}.\n".
--> 328                     format(target_id, ".", name), value)
    329             else:
    330                 raise Py4JError(

Py4JJavaError: An error occurred while calling o537.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 11.0 failed 1 times, most recent failure: Lost task 0.0 in stage 11.0 (TID 49) (eab606ad853e executor driver): java.lang.ArrayIndexOutOfBoundsException: Index 0 out of bounds for length 0
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.categoricalSample(TensorflowGPT2.scala:535)
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.$anonfun$generateNoBeamSearch$18(TensorflowGPT2.scala:295)
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.$anonfun$generateNoBeamSearch$18$adapted(TensorflowGPT2.scala:295)
	at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
	at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
	at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
	at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
	at scala.collection.TraversableLike.map(TraversableLike.scala:286)
	at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
	at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.generateNoBeamSearch(TensorflowGPT2.scala:295)
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.tag(TensorflowGPT2.scala:158)
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.$anonfun$predict$1(TensorflowGPT2.scala:89)
	at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:293)
	at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
	at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
	at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
	at scala.collection.TraversableLike.flatMap(TraversableLike.scala:293)
	at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:290)
	at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:198)
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.predict(TensorflowGPT2.scala:75)
	at com.johnsnowlabs.nlp.annotators.seq2seq.GPT2Transformer.batchAnnotate(GPT2Transformer.scala:459)
	at com.johnsnowlabs.nlp.HasBatchedAnnotate.$anonfun$batchProcess$1(HasBatchedAnnotate.scala:59)
	at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
	at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.run(Task.scala:136)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
	at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
	at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
	at java.base/java.lang.Thread.run(Thread.java:829)

Driver stacktrace:
	at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2672)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2608)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2607)
	at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
	at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2607)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1182)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1182)
	at scala.Option.foreach(Option.scala:407)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1182)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2860)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2802)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2791)
	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:952)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2228)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2249)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2268)
	at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:506)
	at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:459)
	at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:48)
	at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3868)
	at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2863)
	at org.apache.spark.sql.Dataset.$anonfun$withAction$2(Dataset.scala:3858)
	at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:510)
	at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3856)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:109)
	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:169)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:95)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
	at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3856)
	at org.apache.spark.sql.Dataset.head(Dataset.scala:2863)
	at org.apache.spark.sql.Dataset.take(Dataset.scala:3084)
	at org.apache.spark.sql.Dataset.getRows(Dataset.scala:288)
	at org.apache.spark.sql.Dataset.showString(Dataset.scala:327)
	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.base/java.lang.reflect.Method.invoke(Method.java:566)
	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
	at py4j.Gateway.invoke(Gateway.java:282)
	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
	at py4j.commands.CallCommand.execute(CallCommand.java:79)
	at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
	at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
	at java.base/java.lang.Thread.run(Thread.java:829)
Caused by: java.lang.ArrayIndexOutOfBoundsException: Index 0 out of bounds for length 0
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.categoricalSample(TensorflowGPT2.scala:535)
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.$anonfun$generateNoBeamSearch$18(TensorflowGPT2.scala:295)
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.$anonfun$generateNoBeamSearch$18$adapted(TensorflowGPT2.scala:295)
	at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
	at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
	at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
	at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
	at scala.collection.TraversableLike.map(TraversableLike.scala:286)
	at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
	at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.generateNoBeamSearch(TensorflowGPT2.scala:295)
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.tag(TensorflowGPT2.scala:158)
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.$anonfun$predict$1(TensorflowGPT2.scala:89)
	at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:293)
	at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
	at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
	at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
	at scala.collection.TraversableLike.flatMap(TraversableLike.scala:293)
	at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:290)
	at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:198)
	at com.johnsnowlabs.ml.tensorflow.TensorflowGPT2.predict(TensorflowGPT2.scala:75)
	at com.johnsnowlabs.nlp.annotators.seq2seq.GPT2Transformer.batchAnnotate(GPT2Transformer.scala:459)
	at com.johnsnowlabs.nlp.HasBatchedAnnotate.$anonfun$batchProcess$1(HasBatchedAnnotate.scala:59)
	at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
	at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)
	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.run(Task.scala:136)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
	at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
	at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
	... 1 more
	
	
	```

ahmedlone127 avatar Aug 12 '22 23:08 ahmedlone127

@vankov could you please have a look at this?

maziyarpanahi avatar Aug 14 '22 10:08 maziyarpanahi

@vankov should be fixed here, please take a look https://github.com/JohnSnowLabs/spark-nlp/pull/12661

C-K-Loan avatar Aug 31 '22 19:08 C-K-Loan