Having java.lang.NoSuchMethodError: org.tensorflow.framework.GraphDef.toByteString()

[eleite77]

Hi
I want to use DeepImageFeaturizer combined with spark ML Logistic regression in Spark (2.4.5) / scala 2.11.12 but it's not working. I'm trying to resolve it for many days.

I have this issue :
java.lang.NoSuchMethodError: org.tensorflow.framework.GraphDef.toByteString()Lorg/tensorframes/protobuf3shade/ByteString;

It seems a library is missing but i think I've already referenced all the needed ones :

delta-core_2.11-0.6.0.jar
libtensorflow-1.15.0.jar
libtensorflow_jni-1.15.0.jar
libtensorflow_jni_gpu-1.15.0.jar
proto-1.15.0.jar
scala-logging-api_2.11-2.1.2.jar
scala-logging-slf4j_2.11-2.1.2.jar
scala-logging_2.11-3.9.2.jar
spark-deep-learning-1.5.0-spark2.4-s_2.11.jar
spark-sql-kafka-0-10_2.11-2.4.5.jar
spark-tensorflow-connector_2.11-1.6.0.jar
tensorflow-1.15.0.jar
tensorflow-hadoop-1.15.0.jar
tensorframes-0.8.2-s_2.11.jar

Full trace :

20/05/15 21:17:28 DEBUG impl.TensorFlowOps$: Outputs: Set(InceptionV3_sparkdl_output__)
Exception in thread "main" java.lang.reflect.InvocationTargetException
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.spark.deploy.worker.DriverWrapper$.main(DriverWrapper.scala:65)
	at org.apache.spark.deploy.worker.DriverWrapper.main(DriverWrapper.scala)
Caused by: java.lang.NoSuchMethodError: org.tensorflow.framework.GraphDef.toByteString()Lorg/tensorframes/protobuf3shade/ByteString;
	at org.tensorframes.impl.TensorFlowOps$.graphSerial(TensorFlowOps.scala:69)
	at org.tensorframes.impl.TensorFlowOps$.analyzeGraphTF(TensorFlowOps.scala:114)
	at org.tensorframes.impl.DebugRowOps.mapRows(DebugRowOps.scala:408)
	at com.databricks.sparkdl.DeepImageFeaturizer.transform(DeepImageFeaturizer.scala:135)
	at org.apache.spark.ml.Pipeline$$anonfun$fit$2.apply(Pipeline.scala:161)
	at org.apache.spark.ml.Pipeline$$anonfun$fit$2.apply(Pipeline.scala:149)
	at scala.collection.Iterator$class.foreach(Iterator.scala:891)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
	at scala.collection.IterableViewLike$Transformed$class.foreach(IterableViewLike.scala:44)
	at scala.collection.SeqViewLike$AbstractTransformed.foreach(SeqViewLike.scala:37)
	at org.apache.spark.ml.Pipeline.fit(Pipeline.scala:149)

Can someone of the team can tell me what is going wrong ?
thanks for your support