Problem with modelGradients

[Hind-colla]

Hello guys, when i run this lines:
for numEpoch = 1:nEpochs
reset(preprocessedTrainingData);% Reset datastore.
iteration = 0;
while hasdata(preprocessedTrainingData)
t_start = tic;
% Custom training loop.
% Read batch of data and create batch of images and
% ground truths.
outDataTable = read(preprocessedTrainingData);
XTrain = outDataTable{1,1}{1};
YTrain = outDataTable{1,2}{1};
if isempty(YTrain)
continue;
end

    % Convert mini-batch of data to dlarray.
    XTrain = dlarray(single(XTrain),'SSCB');

% Evaluate the model gradients and loss using dlfeval and the
% modelGradients function.
[gradients,boxLoss,objLoss,clsLoss,totalLoss,state] = dlfeval(@modelGradients, model, XTrain, YTrain,yoloLayerNumber);

I get this error and i don't know what to do to fix it:
'modelGradients' is used in Generate Synthetic Signals Using Conditional Generative Adversarial Network.

Error in deep.internal.dlfeval (line 18)
[varargout{1:nout}] = fun(x{:});

Error in dlfeval (line 41)
[varargout{1:nout}] = deep.internal.dlfeval(fun,varargin{:});

Error in nouveux (line 94)
[gradients,boxLoss,objLoss,clsLoss,totalLoss,state] = dlfeval(@modelGradients, model, XTrain,
YTrain,yoloLayerNumber);

[MikeMegamind]

Hello, I got the same problem. Have you fixed it?