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 workHi 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 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 deep learning, neural networks, function, matlab function MATLAB Answers — New Questions

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