Why does the deep learning toolbox cannot work?

I write the following code to test the toolbox, however, it always comes out such error that i couldn't solve. I've already redownload and reinstalled matlab for three times,including 2019b and 2020a but it still fails.

I have sent this code to my friend's PC, and she can run it successfully. I also tried using the APP(neural net fitting) and the default datasets without modifying any parameters, it fails again. So, what's wrong??????

code：

clc;clear;
input = [0:0.1:1 ; 1:0.1:2]; % each column represent a sample
target = input(1,:).^2+input(2,:).^2;
net=feedforwardnet(10);
view(net);
net = train(net,input,target);

command error:

无法执行赋值，因为左侧的大小为 2×2，右侧的大小为 2×11。

出错 initnw>initialize_layer (line 176)
       range(inputStart(j):inputStop(j),:) =
       temp2((inputStart(j):inputStop(j))-inputStart(j)+1,:);

出错 initnw (line 101)
    out1 = initialize_layer(in1,in2);

出错 initlay>initialize_network (line 155)
      net = feval(initFcn,net,i);

出错 initlay (line 97)
    out1 = initialize_network(in1);

出错 network/init (line 31)
  net = feval(initFcn,net);

出错 network/configure (line 253)
net = init(net);

出错 nntraining.config (line 146)
  net = configure(network(net),X,T);

出错 nntraining.setup>setupPerWorker (line 102)
  [net,X,Xi,Ai,T,EW,Q,TS,err] = nntraining.config(net,X,Xi,Ai,T,EW,configNetEnable);

出错 nntraining.setup (line 77)
  [net,data,tr,err] = setupPerWorker(net,trainFcn,X,Xi,Ai,T,EW,enableConfigure);

出错 network/train (line 335)
[net,data,tr,err] = nntraining.setup(net,net.trainFcn,X,Xi,Ai,T,EW,enableConfigure,isComposite);

出错 untitled4 (line 6)
net = train(net,input,target);

App error：

[Walter Roberson]

What shows up for

which -all repmat

[Liuen Guan]

>> which -all repmat
built-in (/Applications/MATLAB_R2020a.app/toolbox/matlab/elmat/repmat)
built-in (/Applications/MATLAB_R2020a.app/toolbox/matlab/elmat/@char/repmat)     % char method
built-in (/Applications/MATLAB_R2020a.app/toolbox/matlab/elmat/@double/repmat)   % double method
built-in (/Applications/MATLAB_R2020a.app/toolbox/matlab/elmat/@int16/repmat)    % int16 method
built-in (/Applications/MATLAB_R2020a.app/toolbox/matlab/elmat/@int32/repmat)    % int32 method
built-in (/Applications/MATLAB_R2020a.app/toolbox/matlab/elmat/@int64/repmat)    % int64 method
built-in (/Applications/MATLAB_R2020a.app/toolbox/matlab/elmat/@int8/repmat)     % int8 method
built-in (/Applications/MATLAB_R2020a.app/toolbox/matlab/elmat/@logical/repmat)  % logical method
built-in (/Applications/MATLAB_R2020a.app/toolbox/matlab/elmat/@single/repmat)   % single method
built-in (/Applications/MATLAB_R2020a.app/toolbox/matlab/elmat/@uint16/repmat)   % uint16 method
built-in (/Applications/MATLAB_R2020a.app/toolbox/matlab/elmat/@uint32/repmat)   % uint32 method
built-in (/Applications/MATLAB_R2020a.app/toolbox/matlab/elmat/@uint64/repmat)   % uint64 method
built-in (/Applications/MATLAB_R2020a.app/toolbox/matlab/elmat/@uint8/repmat)    % uint8 method
repmat is a built-in method                                                      % connector.internal.LoggerLevel method
repmat is a built-in method                                                      % matlab.lang.OnOffSwitchState method
/Applications/MATLAB_R2020a.app/toolbox/matlab/bigdata/@tall/repmat.m            % tall method
/Applications/MATLAB_R2020a.app/toolbox/symbolic/symbolic/@symfun/repmat.m       % symfun method

[Walter Roberson]

dbstop at initnw 173

and run your code. When it stops at line 173, look at irange : it should be a 2 x 2 array.

now

dbstep
dbstep

which should take you to line 176. Examine the value of inputDelays(j) which should be 1. Examine the size of temp2 which should be a 2 x 2 array.

Now dbstep again to execute the line you were having problems with.If it works then the problem did not occur. If it does not work, then look at the size and values of all of the variables mentioned on the row to help figure out what the problem might be.

[Liuen Guan]

irange = net.inputs{inputInds(j)}.processedRange;

i did it following your instrcutions, however the size of irange is equal to 2✖️11

irange=[NaN 0 1 NaN 1 NaN 0 NaN NaN 1 NaN;

NaN 1 0 NaN 0 NaN 1 NaN NaN 0 NaN]

This is part of initnw.m. I don't understand why the size of net.inputs{inputInds(j)}.processedRange is not 2✖️2

function net = initialize_layer(net,i)

% Calculate source indices
inputInds = find(net.inputConnect(i,:));
numInputs = length(inputInds);
layerInds = find(net.layerConnect(i,:));
numLayers = length(layerInds);

% Get source sizes and delays
inputSizes = zeros(numInputs,1);
inputDelays = zeros(numInputs,1);
for j=1:numInputs
  inputDelays(j) = length(net.inputWeights{i,inputInds(j)}.delays);
  inputSizes(j) = net.inputWeights{i,inputInds(j)}.size(2);
end
totalInputSize = sum(inputSizes);

layerSizes = zeros(numLayers,1);
layerDelays = zeros(numInputs,1);
for j=1:numLayers
  layerDelays(j) = length(net.layerWeights{i,layerInds(j)}.delays);
  layerSizes(j) = net.layerWeights{i,layerInds(j)}.size(2);
end
totalLayerSize = sum(layerSizes);

totalSourceSize = totalInputSize + totalLayerSize;

% Calculate range indices
inputStart = cumsum([1; inputSizes]);
inputStop = cumsum(inputSizes);
layerStart = cumsum([1; layerSizes])+totalInputSize;
layerStop = cumsum(layerSizes)+totalInputSize;

% Get source ranges
range = zeros(totalSourceSize,2);
for j=1:numInputs
  irange = net.inputs{inputInds(j)}.processedRange;
  if ~isempty(irange)
    % ODJ 4/1/02 Avoid problem with delays and one column weights
    temp1=size(irange,1)*inputDelays(j);
    if temp1~= inputStop(j)-inputStart(j)-1
       temp2 = repmat(irange,inputDelays(j),1);
       range(inputStart(j):inputStop(j),:) = temp2((inputStart(j):inputStop(j))-inputStart(j)+1,:);
    else  
       range(inputStart(j):inputStop(j),:) = repmat(irange,inputDelays(j),1);
    end
  end
end

[Liuen Guan]