Big NDArray generate Operand Tensor meet protobuf exceeded maximum protobuf size of 2GB ?

Hi :
from spark DataFrame generate org.tensorflow.ndarray.DoubleNdArray , after I want to generate Operand[TFloat64] tensor , meet error

scala> val featureVector = SparkConverter.sparkDataframeFeatureVectorConvertTfTensor(finalInputDf,"final_features" )
featureVector: org.tensorflow.ndarray.DoubleNdArray = org.tensorflow.ndarray.impl.dense.DoubleDenseNdArray@e3f6a6a0
scala> val ft  = tf.constant(featureVector)
[libprotobuf ERROR external/com_google_protobuf/src/google/protobuf/message_lite.cc:451] tensorflow.AttrValue exceeded maximum protobuf size of 2GB: 6279090916
org.tensorflow.exceptions.TFInvalidArgumentException: AttrValue missing value with expected type 'tensor'
         for attr 'value'
        ; NodeDef: {{node Const}}; Op<name=Const; signature= -> output:dtype; attr=value:tensor; attr=dtype:type>
  at org.tensorflow.internal.c_api.AbstractTF_Status.throwExceptionIfNotOK(AbstractTF_Status.java:87)
  at org.tensorflow.EagerOperationBuilder.execute(EagerOperationBuilder.java:314)
  at org.tensorflow.EagerOperationBuilder.build(EagerOperationBuilder.java:77)
  at org.tensorflow.EagerOperationBuilder.build(EagerOperationBuilder.java:64)
  at org.tensorflow.op.core.Constant.create(Constant.java:1350)
  at org.tensorflow.op.core.Constant.tensorOf(Constant.java:521)
  at org.tensorflow.op.Ops.constant(Ops.java:1669)
  ... 59 elided

but if I filter some small part Dataframe is ok

scala> val featureVector = SparkConverter.sparkDataframeFeatureVectorConvertTfTensor(finalInputDf.filter(col("pay_status").equalTo(1)),"final_features" )
featureVector: org.tensorflow.ndarray.DoubleNdArray = org.tensorflow.ndarray.impl.dense.DoubleDenseNdArray@627077a

scala> val ft_small  = tf.constant(featureVector)
ft_small: org.tensorflow.op.core.Constant[org.tensorflow.types.TFloat64] = <Const 'Const_2'>

scala> ft_small.asTensor().numBytes()
res43: Long = 1058424696

Inizia con il percorso di chiamata segnalato di Ops.constant e Constant.tensorOf, usando come input a confronto il DoubleNdArray generato da SparkConverter e il DataFrame filtrato più piccolo. Riproduci l’errore di dimensione di protobuf e determina il comportamento previsto per i tensori superiori a 2GB; l’issue non definisce alcuna modifica richiesta né un test chiaro di completamento.