在深度学习中，当我们处理长度不同的特征时，需要进行填充和掩码操作。我正在开发一个使用RNN算法的情感分析程序。在我的程序中，我尝试向我创建的掩码数组中添加值，但出现了以下错误。

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)

我尝试使用以下for循环向掩码数组添加值。您能解释一下错误的原因以及如何解决吗？

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);        }

回答：

查看一下 featureMaskArray.rank()。它很可能是 2，因此

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

可能会起作用

但是

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

不会起作用。