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

Beginnen Sie mit dem gemeldeten Aufrufpfad von Ops.constant und Constant.tensorOf, wobei das von SparkConverter erzeugte DoubleNdArray und der kleinere gefilterte DataFrame als kontrastierende Eingaben verwendet werden. Reproduzieren Sie den protobuf-Größenfehler und bestimmen Sie das erwartete Verhalten für Tensoren über 2GB; das Issue definiert keine angeforderte Änderung oder einen klaren Abschlusstest.