sameDiff.loss.softmaxCrossEntropy(“loss”, label, out, sameDiff.var(“labelWeight”, Nd4j.create(NerUtil.labelWeight1d())));
this line cause below exception:
[main] ERROR org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner - Failed to execute op softmax_cross_entropy_loss. Attempted to execute with 3 inputs, 1 outputs, 1 targs,0 bargs and 1 iargs. Inputs: [(FLOAT,[1024,6],c), (FLOAT,[6],c), (FLOAT,[1024,6],c)]. Outputs: [(FLOAT,,c)]. tArgs: [0.0]. iArgs: [3]. bArgs: -. Input var names: [out, labelWeight, label]. Output var names: [loss] - Please see above message (printed out from c++) for a possible cause of error.
java.lang.RuntimeException: NDArray::tile method - shapeInfo of target array is not suitable for tile operation !
at org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner.exec(NativeOpExecutioner.java:1924)
at org.nd4j.linalg.factory.Nd4j.exec(Nd4j.java:6575)
at org.nd4j.autodiff.samediff.internal.InferenceSession.doExec(InferenceSession.java:495)
at org.nd4j.autodiff.samediff.internal.InferenceSession.getOutputs(InferenceSession.java:222)
at org.nd4j.autodiff.samediff.internal.TrainingSession.getOutputs(TrainingSession.java:152)
at org.nd4j.autodiff.samediff.internal.InferenceSession.getOutputs(InferenceSession.java:68)
at org.nd4j.autodiff.samediff.internal.AbstractSession.output(AbstractSession.java:411)
at org.nd4j.autodiff.samediff.internal.TrainingSession.trainingIteration(TrainingSession.java:118)
at org.nd4j.autodiff.samediff.SameDiff.fitHelper(SameDiff.java:1713)
at org.nd4j.autodiff.samediff.SameDiff.fit(SameDiff.java:1569)
at org.nd4j.autodiff.samediff.SameDiff.fit(SameDiff.java:1509)
at org.nd4j.autodiff.samediff.config.FitConfig.exec(FitConfig.java:173)
How to solve it? Thanks.