Deeplearning：嘗試將值添加到掩碼數組時出錯

在深度學習中，如果我們具有不同長度的要素，則需要填充和遮罩。我正在開發一個使用RNN算法的情感分析程序。在我的程序中，我正在嘗試添加值來屏蔽我創建的數組。但它給出了以下錯誤。Deeplearning：嘗試將值添加到掩碼數組時出錯

java.lang.IllegalArgumentException: Indexes, shape, and stride must be the same length 
    at org.nd4j.linalg.api.shape.Shape.getOffset(Shape.java:480) 
    at org.nd4j.linalg.api.ndarray.BaseNDArray.putScalar(BaseNDArray.java:1071) 
    at MovieReviewClassifierModel.predict(MovieReviewClassifierModel.java:80) 
    at org.apache.spark.ml.PredictionModel$$anonfun$1.apply(Predictor.scala:182) 
    at org.apache.spark.ml.PredictionModel$$anonfun$1.apply(Predictor.scala:181) 
    at org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$2.apply(ScalaUDF.scala:75) 
    at org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$2.apply(ScalaUDF.scala:74) 
    at org.apache.spark.sql.catalyst.expressions.ScalaUDF.eval(ScalaUDF.scala:964) 
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection.apply(Unknown Source) 
    at org.apache.spark.sql.execution.Project$$anonfun$1$$anonfun$apply$2.apply(basicOperators.scala:55) 
    at org.apache.spark.sql.execution.Project$$anonfun$1$$anonfun$apply$2.apply(basicOperators.scala:53) 
    at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) 
    at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:389) 
    at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) 
    at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:308) 
    at scala.collection.Iterator$class.foreach(Iterator.scala:727) 
    at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) 
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) 
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) 
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) 
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) 
    at scala.collection.AbstractIterator.to(Iterator.scala:1157) 
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) 
    at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) 
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) 
    at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) 
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215) 
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215) 
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858) 
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858) 
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) 
    at org.apache.spark.scheduler.Task.run(Task.scala:89) 
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) 
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) 
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) 
    at java.lang.Thread.run(Thread.java:745)

我想通過使用以下for循環來將值添加到掩碼數組。你能否向我解釋錯誤的原因以及如何解決這個問題。

int lengthOfFeatureArray=featureArray.length; 
     INDArray arr=Nd4j.create(featureArray); 
     INDArray featureMaskArray=Nd4j.zeros(maxLength); 
     int[] temp = new int[1]; 
     for(int i=0;i<lengthOfFeatureArray;i++){ 
      temp[0]=i; 
      featureMaskArray.putScalar(temp,1.0); 
     }

來源

2016-03-14 Thamali Wijewardhana

看看featureMaskArray.rank()。這是最有可能的2，因此

int[] temp = new int[] { 1, 1 } 
featureMaskArray.putScalar(temp, 1.0);

可能工作

但

int[] temp = new int[] { 1 } 
featureMaskArray.putScalar(temp, 1.0);

不會。

來源

2016-03-14 08:28:13 VolkerK

感謝您的快速響應。 –

Deeplearning：嘗試將值添加到掩碼數組時出錯

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