How to use TfRecordDataset DatasetToTfRecord tf.io.tfRecordReader

tensorflow-java 0.4
spark 3.1
java 11

Hi :
Now I use tensorflow-java to read tfrecord file ,but can not get the data, and our not have example for it ,the TfRecordDataset DatasetToTfRecord tf.io.tfRecordReader java class have not same api like python ,could we give some example for how to use them. thank

    import org.tensorflow.{Operand, Session,EagerSession}
    import org.tensorflow.op.Ops
    import org.tensorflow.op.data.TfRecordDataset
    import org.tensorflow.op.data.{DatasetToTfRecord, TfRecordDataset}
    val session = EagerSession.create
    val tf = Ops.create(session)
    val  scope = tf.scope()
//    val fileName  =tf.constant( "/Users/zhanghaining/Downloads/tfrecord-kk2-test/")
    val fileName = tf.constant("/Users/zhanghaining/Downloads/BigDL/spark/dl/src/test/resources/tf/mnist_train.tfrecord")
    val compress = tf.constant("")
    val bufferSize = tf.constant(0l)
    val recordDataSet = TfRecordDataset.create(scope,fileName,compress,bufferSize)

    val record = DatasetToTfRecord.create(scope, recordDataSet,fileName,compress)

    val reader =  tf.io.tfRecordReader()

    println(record.op().name() )
    println(record.op().`type`())
    println(recordDataSet.op().numOutputs() )
    println(recordDataSet.asOutput().dataType())

Start with the TfRecordDataset, DatasetToTfRecord, and tf.io.tfRecordReader entry points shown in the issue, and compare their Java APIs with the requested Python usage. Done means providing a working tensorflow-java example that reads TFRecord data and explains how these APIs are used.