I am trying a recurrent network in Linux server using MMA 11.3. The network structure is as follows:

net = NetInitialize[
    "Conv" -> 
        NetChain[{ConvolutionLayer[3, {3, 3}], FlattenLayer[]}, "Input" -> {5, 11, 11}]], 
    "LSTM1" -> LongShortTermMemoryLayer[40, "Dropout" -> 0.4], 
    "Dropout" -> DropoutLayer[0.3], 
    "Linear" -> NetMapOperator[LinearLayer[1]], "Ramp" -> Ramp, 
    "Sum" -> SummationLayer[]
   {NetPort["Circulation"] -> "Conv" -> "LSTM1" -> "Dropout" -> "Linear" -> "Ramp" 
       -> "Sum" -> NetPort["TotalPrecipitation"], 
    "Ramp" -> NetPort["HourlyPrecipitation"]}

It works for MMA 11.3 Macbook Pro. However, when I copied the code to the Linux server for training using GPU, it reports that:

NetGraph::valfail: Validation failed for SummationLayer: Layer does not support varying dimensions.

Could anyone help?

  • $\begingroup$ P.S., I do need varying dimensions in the application. $\endgroup$ Jun 21, 2018 at 3:42
  • $\begingroup$ Hypothesis: your mac has a newer NeuralNetworks paclet version, and this is only supported in the latest version. Try Lookup[PacletInformation["NeuralNetworks"], "Version"] on both machines. Just run PacletUpdate["NeuralNetworks"] on your Linux machine if older version. $\endgroup$
    – Sebastian
    Jun 22, 2018 at 18:19

1 Answer 1


I am not sure if this is a bug, but since in the document of SummationLayer, we have:

r = RandomReal[1, {5, 3, 2}];
SummationLayer[][r] === AggregationLayer[Total, All][r]

Thus, by replacing SummationLayer with AggregationLayer[Total,All], the network could be initialized.


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