Undefined function handle error when loading a neural network that contain a function layer

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Julien
Julien 2025-6-26
编辑： Matt J 2025-6-27
Hi everyone,
I created a neural network that uses a functionLayer that I defined by :
functionLayer(@Feature_wise_LM,Name="FiLM_64",Formattable=1,NumInputs=2,NumOutputs=1)
However, when I save the trained neural network with :
save("./trained_networks/FiLM", "trained_network");
and reload it in the same script with :
trained_network = load("./trained_networks/FiLM.mat");
trained_network = trained_network.trained_network;
I get the error :
Warning: While loading an object of class 'dlnetwork':
Error using nnet.internal.cnn.layer.GraphExecutor/propagate (line 354)
Execution failed during layer(s) 'FiLM_64'.
Error in deep.internal.network.ExecutableNetwork/configureForInputsAndForwardOnLayer (line 347)
propagate(this, fcn, Xs, outputLayerIdx, outputLayerPortIdx);
Error in deep.internal.network.EditableNetwork/convertToDlnetwork (line 101)
[executableNetwork, layerOutputSizes] = configureForInputsAndForwardOnLayer(...
Error in dlnetwork.loadobj (line 741)
net = convertToDlnetwork(privateNet, exampleInputs, initializeNetworkWeights);
Caused by:
Undefined function handle.
Error in nnet.cnn.layer.FunctionLayer/predict (line 61)
[varargout{1:layer.NumOutputs}] = layer.PredictFcn(varargin{:});
I tried to save the function in a dedicated file "Feature_wise_LM.m" , but it didn't work

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回答（1 个）

Matt J
Matt J 2025-6-26
编辑：Matt J 2025-6-26
I tried to save the function in a dedicated file "Feature_wise_LM.m" , but it didn't work
It should work. Make sure the location of that file is on the Matlab path.
Make sure as well that it is in the same location as when the functionLayer was created, though I'm not sure it is absolutely necessary.
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Julien
Julien 2025-6-27
It does give me the right path...
However, in your example the function is in the same script, and when defining the layer by "@(X1,X2) Feature_wise_LM(X1,X2)", it works even when turning matlab off and reopening it, so I think that matlab can access the function
Matt J
Matt J 2025-6-27
编辑：Matt J 2025-6-27
Ran in:
However, in your example the function is in the same script.
The example didn't require that. Here it is again, with testFun defined in its own mfile, as you claim you are doing. It still works, even without wrapping the handle in an anonymous function:
net=dlnetwork(functionLayer(@testFun,Name="FiLM_64",Formattable=1,NumInputs=2,NumOutputs=1), ...
dlarray(1,'SSC'),dlarray(2,'SSC'));
save('netfile.mat', 'net')
clear
load('netfile.mat', 'net')
net,
net =
dlnetwork with properties: Layers: [1×1 nnet.cnn.layer.FunctionLayer] Connections: [0×2 table] Learnables: [0×3 table] State: [0×3 table] InputNames: {'FiLM_64/in1' 'FiLM_64/in2'} OutputNames: {'FiLM_64'} Initialized: 1 View summary with summary.

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