I used the command subcircuit2ssc to convert a Spice model for the power diode to Simscape, and an error appears:
Error using subcircuit2ssc
Netlist is not supported. No valid subcircuits found.
The power diode Spice file is as follows:
.MODEL DRFN10RSM2STL1 D
+ IS=192.49E-12
+ N=1.1157
+ RS=4.3285E-3
+ IKF=98.758E-3
+ EG=0.88
+ CJO=168.00E-12
+ M=0.3114
+ VJ=0.5
+ ISR=539.76E-12
+ NR=1.95
+ BV=200
+ TT=26.548E-9
+ TIKF=0.012
I have succesfully converted a power MOSFET model from Spice to Simscape. I wonder why this does not work for diode. Thanks!I used the command subcircuit2ssc to convert a Spice model for the power diode to Simscape, and an error appears:
Error using subcircuit2ssc
Netlist is not supported. No valid subcircuits found.
The power diode Spice file is as follows:
.MODEL DRFN10RSM2STL1 D
+ IS=192.49E-12
+ N=1.1157
+ RS=4.3285E-3
+ IKF=98.758E-3
+ EG=0.88
+ CJO=168.00E-12
+ M=0.3114
+ VJ=0.5
+ ISR=539.76E-12
+ NR=1.95
+ BV=200
+ TT=26.548E-9
+ TIKF=0.012
I have succesfully converted a power MOSFET model from Spice to Simscape. I wonder why this does not work for diode. Thanks! I used the command subcircuit2ssc to convert a Spice model for the power diode to Simscape, and an error appears:
Error using subcircuit2ssc
Netlist is not supported. No valid subcircuits found.
The power diode Spice file is as follows:
.MODEL DRFN10RSM2STL1 D
+ IS=192.49E-12
+ N=1.1157
+ RS=4.3285E-3
+ IKF=98.758E-3
+ EG=0.88
+ CJO=168.00E-12
+ M=0.3114
+ VJ=0.5
+ ISR=539.76E-12
+ NR=1.95
+ BV=200
+ TT=26.548E-9
+ TIKF=0.012
I have succesfully converted a power MOSFET model from Spice to Simscape. I wonder why this does not work for diode. Thanks! spice, model, simscape, convert, power diode, subcircuit2ssc MATLAB Answers — New Questions

​

I have a signal and want to calculate the area. The problem is that i want to make a loop with decimal step, because the length is 1189,58
Any ideas how to proceed with the loop?I have a signal and want to calculate the area. The problem is that i want to make a loop with decimal step, because the length is 1189,58
Any ideas how to proceed with the loop? I have a signal and want to calculate the area. The problem is that i want to make a loop with decimal step, because the length is 1189,58
Any ideas how to proceed with the loop? range, area MATLAB Answers — New Questions

​

I have a new problem, I obtain aspen convergence in the connection operation between aspen and matlab, my code is:
Conv = aspen.Tree.FindNode("DataResults SummaryRun-StatusOutputPER_ERROR");
I also found the corresponding path in aspen, but the code is wrong, At the same time, I have checked that CSDN does not support indexing with points for variables of this type, but when I change the code to:
Conv = Aspen.Tree.FindNode("DataResults SummaryRun-StatusOutputPER_ERROR");
ConvValue = Conv.Value;
I still get an errorI have a new problem, I obtain aspen convergence in the connection operation between aspen and matlab, my code is:
Conv = aspen.Tree.FindNode("DataResults SummaryRun-StatusOutputPER_ERROR");
I also found the corresponding path in aspen, but the code is wrong, At the same time, I have checked that CSDN does not support indexing with points for variables of this type, but when I change the code to:
Conv = Aspen.Tree.FindNode("DataResults SummaryRun-StatusOutputPER_ERROR");
ConvValue = Conv.Value;
I still get an error I have a new problem, I obtain aspen convergence in the connection operation between aspen and matlab, my code is:
Conv = aspen.Tree.FindNode("DataResults SummaryRun-StatusOutputPER_ERROR");
I also found the corresponding path in aspen, but the code is wrong, At the same time, I have checked that CSDN does not support indexing with points for variables of this type, but when I change the code to:
Conv = Aspen.Tree.FindNode("DataResults SummaryRun-StatusOutputPER_ERROR");
ConvValue = Conv.Value;
I still get an error aspen，matlab MATLAB Answers — New Questions

​

I am using a Genetic Algorithm (GA) solver in MATLAB to solve the electric bus scheduling problem. The objective function is designed to minimize the cost of electric buses and chargers while incorporating vehicle flow and charging constraints. However, when I apply the solver, it seems to ignore the charging constraints. It only outputs the number of electric buses along with their schedules, without assigning any buses to chargers. The output for chargers consistently shows a value of zero. When I tested the same dataset using CPLEX, it successfully assigned electric buses to chargers. How can I resolve this issue?
% Solver options
options = optimoptions(‘ga’, …
‘Display’, ‘iter’, … % Display iteration details
‘PlotFcn’, ‘gaplotbestf’, … % Plot GA progress
‘MaxTime’, 5000, … % Maximum runtime in seconds
‘PopulationSize’, 100, … % GA population size
‘CrossoverFraction’, 0.8); % Fraction for crossover

% Solve the optimization problem
[sol, fval, exitflag, output] = solve(Busschedulling_A, ‘Solver’, ‘ga’, ‘Options’, options);I am using a Genetic Algorithm (GA) solver in MATLAB to solve the electric bus scheduling problem. The objective function is designed to minimize the cost of electric buses and chargers while incorporating vehicle flow and charging constraints. However, when I apply the solver, it seems to ignore the charging constraints. It only outputs the number of electric buses along with their schedules, without assigning any buses to chargers. The output for chargers consistently shows a value of zero. When I tested the same dataset using CPLEX, it successfully assigned electric buses to chargers. How can I resolve this issue?
% Solver options
options = optimoptions(‘ga’, …
‘Display’, ‘iter’, … % Display iteration details
‘PlotFcn’, ‘gaplotbestf’, … % Plot GA progress
‘MaxTime’, 5000, … % Maximum runtime in seconds
‘PopulationSize’, 100, … % GA population size
‘CrossoverFraction’, 0.8); % Fraction for crossover

% Solve the optimization problem
[sol, fval, exitflag, output] = solve(Busschedulling_A, ‘Solver’, ‘ga’, ‘Options’, options); I am using a Genetic Algorithm (GA) solver in MATLAB to solve the electric bus scheduling problem. The objective function is designed to minimize the cost of electric buses and chargers while incorporating vehicle flow and charging constraints. However, when I apply the solver, it seems to ignore the charging constraints. It only outputs the number of electric buses along with their schedules, without assigning any buses to chargers. The output for chargers consistently shows a value of zero. When I tested the same dataset using CPLEX, it successfully assigned electric buses to chargers. How can I resolve this issue?
% Solver options
options = optimoptions(‘ga’, …
‘Display’, ‘iter’, … % Display iteration details
‘PlotFcn’, ‘gaplotbestf’, … % Plot GA progress
‘MaxTime’, 5000, … % Maximum runtime in seconds
‘PopulationSize’, 100, … % GA population size
‘CrossoverFraction’, 0.8); % Fraction for crossover

% Solve the optimization problem
[sol, fval, exitflag, output] = solve(Busschedulling_A, ‘Solver’, ‘ga’, ‘Options’, options); genetic algorithm, matlab, optimization, programming MATLAB Answers — New Questions

​

I have this warnings in matlab
Warning: Parameter object’s DataType property has been set while its Value is not double precision. Converting Value to real-world value (double precision).

I use .m file when declare parameter
and delare like this
Y.Value = [fi([0,10,10,0,0,0,0,0,0,0], 1, 16, 0.01, 0)];
When I enterend Y Value in command Window say like this
Parameter with properties:

Value: [0 10 10 0 0 0 0 0 0 0]
CoderInfo: [1×1 Simulink.CoderInfo]
Description: ‘-‘
DataType: ‘fixdt(0,16,0.01,0)’
Min: []
Max: []
Unit: ”
Complexity: ‘real’
Dimensions: [1 10]

Why this warning happens?I have this warnings in matlab
Warning: Parameter object’s DataType property has been set while its Value is not double precision. Converting Value to real-world value (double precision).

I use .m file when declare parameter
and delare like this
Y.Value = [fi([0,10,10,0,0,0,0,0,0,0], 1, 16, 0.01, 0)];
When I enterend Y Value in command Window say like this
Parameter with properties:

Value: [0 10 10 0 0 0 0 0 0 0]
CoderInfo: [1×1 Simulink.CoderInfo]
Description: ‘-‘
DataType: ‘fixdt(0,16,0.01,0)’
Min: []
Max: []
Unit: ”
Complexity: ‘real’
Dimensions: [1 10]

Why this warning happens? I have this warnings in matlab
Warning: Parameter object’s DataType property has been set while its Value is not double precision. Converting Value to real-world value (double precision).

I use .m file when declare parameter
and delare like this
Y.Value = [fi([0,10,10,0,0,0,0,0,0,0], 1, 16, 0.01, 0)];
When I enterend Y Value in command Window say like this
Parameter with properties:

Value: [0 10 10 0 0 0 0 0 0 0]
CoderInfo: [1×1 Simulink.CoderInfo]
Description: ‘-‘
DataType: ‘fixdt(0,16,0.01,0)’
Min: []
Max: []
Unit: ”
Complexity: ‘real’
Dimensions: [1 10]

Why this warning happens? simulink, matlab MATLAB Answers — New Questions

​

Problem Description:
I am working on a MATLAB project involving the Satellite Communications Toolbox. My script uses the accessIntervals function to compute access intervals for satellites and ground stations. However, I consistently encounter the following error:
sql
Copy code
Subscripting into a table using one subscript (as in t(i)) is not supported. Specify a row subscript and a variable subscript, as in t(rows,vars). To select variables, use t(:,i) or for one variable t.(i). To select rows, use t(i,:).

Steps to Reproduce:
I created a satellite scenario with the following setup:matlabCopy codestartTime = datetime(2024, 1, 6, 23, 23, 0);
stopTime = startTime + hours(24);
sampleTime = 60;
sc = satelliteScenario(startTime, stopTime, sampleTime);
sat = walkerDelta(sc, 570e3 + 6378.14e3, 70, 720, 36, 1, ArgumentOfLatitude=15, Name="Starlink");
gs = groundStation(sc, "Name", "Test Station", "Latitude", -35.40139, "Longitude", 148.98167);
ac = access(sat, gs);

I attempted to call accessIntervals for the Access object:matlabCopy codeTest = accessIntervals(ac(1));

The error occurs for all Access objects (ac).
Debugging Steps Taken:
I confirmed the Access objects (ac) are valid and properly initialized:matlabCopy codeAccess Object 1:
Access with properties:
Sequence: [1 721]
LineWidth: 3
LineColor: [0.3922 0.8314 0.0745]

The error persists for all Access objects.
Questions:
Is this a known issue with accessIntervals or the Satellite Communications Toolbox?
How can I resolve or work around this error to compute access intervals?
Are there alternative methods to compute satellite-ground station access intervals if accessIntervals cannot be used?
Environment: MatlabonlineProblem Description:
I am working on a MATLAB project involving the Satellite Communications Toolbox. My script uses the accessIntervals function to compute access intervals for satellites and ground stations. However, I consistently encounter the following error:
sql
Copy code
Subscripting into a table using one subscript (as in t(i)) is not supported. Specify a row subscript and a variable subscript, as in t(rows,vars). To select variables, use t(:,i) or for one variable t.(i). To select rows, use t(i,:).

Steps to Reproduce:
I created a satellite scenario with the following setup:matlabCopy codestartTime = datetime(2024, 1, 6, 23, 23, 0);
stopTime = startTime + hours(24);
sampleTime = 60;
sc = satelliteScenario(startTime, stopTime, sampleTime);
sat = walkerDelta(sc, 570e3 + 6378.14e3, 70, 720, 36, 1, ArgumentOfLatitude=15, Name="Starlink");
gs = groundStation(sc, "Name", "Test Station", "Latitude", -35.40139, "Longitude", 148.98167);
ac = access(sat, gs);

I attempted to call accessIntervals for the Access object:matlabCopy codeTest = accessIntervals(ac(1));

The error occurs for all Access objects (ac).
Debugging Steps Taken:
I confirmed the Access objects (ac) are valid and properly initialized:matlabCopy codeAccess Object 1:
Access with properties:
Sequence: [1 721]
LineWidth: 3
LineColor: [0.3922 0.8314 0.0745]

The error persists for all Access objects.
Questions:
Is this a known issue with accessIntervals or the Satellite Communications Toolbox?
How can I resolve or work around this error to compute access intervals?
Are there alternative methods to compute satellite-ground station access intervals if accessIntervals cannot be used?
Environment: Matlabonline Problem Description:
I am working on a MATLAB project involving the Satellite Communications Toolbox. My script uses the accessIntervals function to compute access intervals for satellites and ground stations. However, I consistently encounter the following error:
sql
Copy code
Subscripting into a table using one subscript (as in t(i)) is not supported. Specify a row subscript and a variable subscript, as in t(rows,vars). To select variables, use t(:,i) or for one variable t.(i). To select rows, use t(i,:).

Steps to Reproduce:
I created a satellite scenario with the following setup:matlabCopy codestartTime = datetime(2024, 1, 6, 23, 23, 0);
stopTime = startTime + hours(24);
sampleTime = 60;
sc = satelliteScenario(startTime, stopTime, sampleTime);
sat = walkerDelta(sc, 570e3 + 6378.14e3, 70, 720, 36, 1, ArgumentOfLatitude=15, Name="Starlink");
gs = groundStation(sc, "Name", "Test Station", "Latitude", -35.40139, "Longitude", 148.98167);
ac = access(sat, gs);

I attempted to call accessIntervals for the Access object:matlabCopy codeTest = accessIntervals(ac(1));

The error occurs for all Access objects (ac).
Debugging Steps Taken:
I confirmed the Access objects (ac) are valid and properly initialized:matlabCopy codeAccess Object 1:
Access with properties:
Sequence: [1 721]
LineWidth: 3
LineColor: [0.3922 0.8314 0.0745]

The error persists for all Access objects.
Questions:
Is this a known issue with accessIntervals or the Satellite Communications Toolbox?
How can I resolve or work around this error to compute access intervals?
Are there alternative methods to compute satellite-ground station access intervals if accessIntervals cannot be used?
Environment: Matlabonline accessintervals satellite toolbox satellite scenar, table indexing, error handling MATLAB Answers — New Questions

​

I am creating the mask for my simulink block and I need to add the Initiallization code to it. Unfortumatelly I can’t edit (add) code within the mask editor; it’s grayed and not editable, disabled.

How can I access this, and add the initialization code to it?

Thank you.I am creating the mask for my simulink block and I need to add the Initiallization code to it. Unfortumatelly I can’t edit (add) code within the mask editor; it’s grayed and not editable, disabled.

How can I access this, and add the initialization code to it?

Thank you. I am creating the mask for my simulink block and I need to add the Initiallization code to it. Unfortumatelly I can’t edit (add) code within the mask editor; it’s grayed and not editable, disabled.

How can I access this, and add the initialization code to it?

Thank you. initialization under mask editor MATLAB Answers — New Questions

​

clc;clear;close all

im= [0 0 0 0 0 0 0 0 0 0
0 0 1 1 1 1 1 1 0 0
0 0 1 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 1 1 1 1 1
0 0 0 0 0 0 0 0 0 0];

cc=bwconncomp(im);

for i=1:cc.NumObjects
CC{i}=cc.PixelIdxList{i}
end

Size=zeros(1,cc.NumObjects);
for j=1:cc.NumObjects

Size(:,i)=size(cell2mat(CC(j)))
endclc;clear;close all

im= [0 0 0 0 0 0 0 0 0 0
0 0 1 1 1 1 1 1 0 0
0 0 1 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 1 1 1 1 1
0 0 0 0 0 0 0 0 0 0];

cc=bwconncomp(im);

for i=1:cc.NumObjects
CC{i}=cc.PixelIdxList{i}
end

Size=zeros(1,cc.NumObjects);
for j=1:cc.NumObjects

Size(:,i)=size(cell2mat(CC(j)))
end clc;clear;close all

im= [0 0 0 0 0 0 0 0 0 0
0 0 1 1 1 1 1 1 0 0
0 0 1 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0
0 0 1 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 1 1 1 1 1
0 0 0 0 0 0 0 0 0 0];

cc=bwconncomp(im);

for i=1:cc.NumObjects
CC{i}=cc.PixelIdxList{i}
end

Size=zeros(1,cc.NumObjects);
for j=1:cc.NumObjects

Size(:,i)=size(cell2mat(CC(j)))
end for loop MATLAB Answers — New Questions

​

The full error message reads "Error using trainnet (line 46)
The number of mini-batch queue outputs (2) must match the number of network inputs plus
the number of network outputs (4)."
I’m using an arrayDatastore to pass the predictors (x2) and the targets(x2) to the transformer model. Both predictors have 410 features, one of the targets has 410 features and the other target is a scalar function.
Code to generate the dummy predictor and target data is pasted below:
%——————————————————————–
% data generation for encoder
numObs = 10;
seqLen = vocabSize;
x_enc = randi([1,10],[seqLen,numObs]);
y_enc = zeros(numObs,1);
for i = 1:numObs
idx = x_enc(1:2,i);
y_enc(i,:) = sum(x_enc(idx,i));
end
x_enc = num2cell(x_enc’,2);
y_enc = num2cell(y_enc)’;
x_1 = x_enc;
y_2 = y_enc’;
% data generation for decoder
x_series = randi([1,10],[seqLen,numObs]);
y_series = sin(rand([seqLen,numObs]));
x_dec = x_series(:,1:end)’;
y_dec = y_series(:,1:end)’;
x_dec = num2cell(x_dec,2); x_2 = x_dec;
y_dec = num2cell(y_dec,2); y_1 = y_dec;
cell_data = {}; cell_data = [cell_data x_1 x_2 y_1 y_2];
dstrain = arrayDatastore(cell_data,’OutputType’,’same’);
%——————————————————————-
cell_data is of the form:
cell_data

cell_data =

10×4 cell array

{1×410 double} {1×410 double} {1×410 double} {[ 8]}
{1×410 double} {1×410 double} {1×410 double} {[10]}
{1×410 double} {1×410 double} {1×410 double} {[13]}
{1×410 double} {1×410 double} {1×410 double} {[20]}
{1×410 double} {1×410 double} {1×410 double} {[ 7]}
{1×410 double} {1×410 double} {1×410 double} {[ 8]}
{1×410 double} {1×410 double} {1×410 double} {[17]}
{1×410 double} {1×410 double} {1×410 double} {[ 6]}
{1×410 double} {1×410 double} {1×410 double} {[11]}
{1×410 double} {1×410 double} {1×410 double} {[ 8]}

If I were to use readall(dstrain) to read the datastore, I get the same format as cell_data:
fds = readall(dstrain)

fds =

10×4 cell array

{1×410 double} {1×410 double} {1×410 double} {[ 8]}
{1×410 double} {1×410 double} {1×410 double} {[10]}
{1×410 double} {1×410 double} {1×410 double} {[13]}
{1×410 double} {1×410 double} {1×410 double} {[20]}
{1×410 double} {1×410 double} {1×410 double} {[ 7]}
{1×410 double} {1×410 double} {1×410 double} {[ 8]}
{1×410 double} {1×410 double} {1×410 double} {[17]}
{1×410 double} {1×410 double} {1×410 double} {[ 6]}
{1×410 double} {1×410 double} {1×410 double} {[11]}
{1×410 double} {1×410 double} {1×410 double} {[ 8]}

Finally, if I use minibatchqueue to create a minibatch of datastore ‘dstrain’, I get:
mbq = minibatchqueue(dstrain)

mbq =

minibatchqueue with 4 outputs and properties:

Mini-batch creation:
MiniBatchSize: 10
PartialMiniBatch: ‘return’
MiniBatchFcn: ‘collate’
PreprocessingEnvironment: ‘serial’

Outputs:
OutputCast: {‘single’ ‘single’ ‘single’ ‘single’}
OutputAsDlarray: [1 1 1 1]
MiniBatchFormat: {” ” ” ”}
OutputEnvironment: {‘auto’ ‘auto’ ‘auto’ ‘auto’}

As you can see, there are four outputs for the minibatch, which appears to contradict the original error message that there are only two minibatchqueue outputs
Also to confirm, i double checked the transformer input output structure:
net

net =

dlnetwork with properties:

Layers: [64×1 nnet.cnn.layer.Layer]
Connections: [1714×2 table]
Learnables: [110×3 table]
State: [0×3 table]
InputNames: {‘in_enc’ ‘in_dec’}
OutputNames: {‘decoder_out’ ‘fc_13’}
Initialized: 1

View summary with summary.
which shows two inputs and two outputs.
Could someone point me to the mistake I’m making here (likely with the datastore format) – it seems that during batching, the model is only choosing two of the cell columns from cell_data/dstrain for the input and output, rather than all four and its not clear why…thanks in advance for your help!
CGThe full error message reads "Error using trainnet (line 46)
The number of mini-batch queue outputs (2) must match the number of network inputs plus
the number of network outputs (4)."
I’m using an arrayDatastore to pass the predictors (x2) and the targets(x2) to the transformer model. Both predictors have 410 features, one of the targets has 410 features and the other target is a scalar function.
Code to generate the dummy predictor and target data is pasted below:
%——————————————————————–
% data generation for encoder
numObs = 10;
seqLen = vocabSize;
x_enc = randi([1,10],[seqLen,numObs]);
y_enc = zeros(numObs,1);
for i = 1:numObs
idx = x_enc(1:2,i);
y_enc(i,:) = sum(x_enc(idx,i));
end
x_enc = num2cell(x_enc’,2);
y_enc = num2cell(y_enc)’;
x_1 = x_enc;
y_2 = y_enc’;
% data generation for decoder
x_series = randi([1,10],[seqLen,numObs]);
y_series = sin(rand([seqLen,numObs]));
x_dec = x_series(:,1:end)’;
y_dec = y_series(:,1:end)’;
x_dec = num2cell(x_dec,2); x_2 = x_dec;
y_dec = num2cell(y_dec,2); y_1 = y_dec;
cell_data = {}; cell_data = [cell_data x_1 x_2 y_1 y_2];
dstrain = arrayDatastore(cell_data,’OutputType’,’same’);
%——————————————————————-
cell_data is of the form:
cell_data

cell_data =

10×4 cell array

{1×410 double} {1×410 double} {1×410 double} {[ 8]}
{1×410 double} {1×410 double} {1×410 double} {[10]}
{1×410 double} {1×410 double} {1×410 double} {[13]}
{1×410 double} {1×410 double} {1×410 double} {[20]}
{1×410 double} {1×410 double} {1×410 double} {[ 7]}
{1×410 double} {1×410 double} {1×410 double} {[ 8]}
{1×410 double} {1×410 double} {1×410 double} {[17]}
{1×410 double} {1×410 double} {1×410 double} {[ 6]}
{1×410 double} {1×410 double} {1×410 double} {[11]}
{1×410 double} {1×410 double} {1×410 double} {[ 8]}

If I were to use readall(dstrain) to read the datastore, I get the same format as cell_data:
fds = readall(dstrain)

fds =

10×4 cell array

{1×410 double} {1×410 double} {1×410 double} {[ 8]}
{1×410 double} {1×410 double} {1×410 double} {[10]}
{1×410 double} {1×410 double} {1×410 double} {[13]}
{1×410 double} {1×410 double} {1×410 double} {[20]}
{1×410 double} {1×410 double} {1×410 double} {[ 7]}
{1×410 double} {1×410 double} {1×410 double} {[ 8]}
{1×410 double} {1×410 double} {1×410 double} {[17]}
{1×410 double} {1×410 double} {1×410 double} {[ 6]}
{1×410 double} {1×410 double} {1×410 double} {[11]}
{1×410 double} {1×410 double} {1×410 double} {[ 8]}

Finally, if I use minibatchqueue to create a minibatch of datastore ‘dstrain’, I get:
mbq = minibatchqueue(dstrain)

mbq =

minibatchqueue with 4 outputs and properties:

Mini-batch creation:
MiniBatchSize: 10
PartialMiniBatch: ‘return’
MiniBatchFcn: ‘collate’
PreprocessingEnvironment: ‘serial’

Outputs:
OutputCast: {‘single’ ‘single’ ‘single’ ‘single’}
OutputAsDlarray: [1 1 1 1]
MiniBatchFormat: {” ” ” ”}
OutputEnvironment: {‘auto’ ‘auto’ ‘auto’ ‘auto’}

As you can see, there are four outputs for the minibatch, which appears to contradict the original error message that there are only two minibatchqueue outputs
Also to confirm, i double checked the transformer input output structure:
net

net =

dlnetwork with properties:

Layers: [64×1 nnet.cnn.layer.Layer]
Connections: [1714×2 table]
Learnables: [110×3 table]
State: [0×3 table]
InputNames: {‘in_enc’ ‘in_dec’}
OutputNames: {‘decoder_out’ ‘fc_13’}
Initialized: 1

View summary with summary.
which shows two inputs and two outputs.
Could someone point me to the mistake I’m making here (likely with the datastore format) – it seems that during batching, the model is only choosing two of the cell columns from cell_data/dstrain for the input and output, rather than all four and its not clear why…thanks in advance for your help!
CG The full error message reads "Error using trainnet (line 46)
The number of mini-batch queue outputs (2) must match the number of network inputs plus
the number of network outputs (4)."
I’m using an arrayDatastore to pass the predictors (x2) and the targets(x2) to the transformer model. Both predictors have 410 features, one of the targets has 410 features and the other target is a scalar function.
Code to generate the dummy predictor and target data is pasted below:
%——————————————————————–
% data generation for encoder
numObs = 10;
seqLen = vocabSize;
x_enc = randi([1,10],[seqLen,numObs]);
y_enc = zeros(numObs,1);
for i = 1:numObs
idx = x_enc(1:2,i);
y_enc(i,:) = sum(x_enc(idx,i));
end
x_enc = num2cell(x_enc’,2);
y_enc = num2cell(y_enc)’;
x_1 = x_enc;
y_2 = y_enc’;
% data generation for decoder
x_series = randi([1,10],[seqLen,numObs]);
y_series = sin(rand([seqLen,numObs]));
x_dec = x_series(:,1:end)’;
y_dec = y_series(:,1:end)’;
x_dec = num2cell(x_dec,2); x_2 = x_dec;
y_dec = num2cell(y_dec,2); y_1 = y_dec;
cell_data = {}; cell_data = [cell_data x_1 x_2 y_1 y_2];
dstrain = arrayDatastore(cell_data,’OutputType’,’same’);
%——————————————————————-
cell_data is of the form:
cell_data

cell_data =

10×4 cell array

{1×410 double} {1×410 double} {1×410 double} {[ 8]}
{1×410 double} {1×410 double} {1×410 double} {[10]}
{1×410 double} {1×410 double} {1×410 double} {[13]}
{1×410 double} {1×410 double} {1×410 double} {[20]}
{1×410 double} {1×410 double} {1×410 double} {[ 7]}
{1×410 double} {1×410 double} {1×410 double} {[ 8]}
{1×410 double} {1×410 double} {1×410 double} {[17]}
{1×410 double} {1×410 double} {1×410 double} {[ 6]}
{1×410 double} {1×410 double} {1×410 double} {[11]}
{1×410 double} {1×410 double} {1×410 double} {[ 8]}

If I were to use readall(dstrain) to read the datastore, I get the same format as cell_data:
fds = readall(dstrain)

fds =

10×4 cell array

{1×410 double} {1×410 double} {1×410 double} {[ 8]}
{1×410 double} {1×410 double} {1×410 double} {[10]}
{1×410 double} {1×410 double} {1×410 double} {[13]}
{1×410 double} {1×410 double} {1×410 double} {[20]}
{1×410 double} {1×410 double} {1×410 double} {[ 7]}
{1×410 double} {1×410 double} {1×410 double} {[ 8]}
{1×410 double} {1×410 double} {1×410 double} {[17]}
{1×410 double} {1×410 double} {1×410 double} {[ 6]}
{1×410 double} {1×410 double} {1×410 double} {[11]}
{1×410 double} {1×410 double} {1×410 double} {[ 8]}

Finally, if I use minibatchqueue to create a minibatch of datastore ‘dstrain’, I get:
mbq = minibatchqueue(dstrain)

mbq =

minibatchqueue with 4 outputs and properties:

Mini-batch creation:
MiniBatchSize: 10
PartialMiniBatch: ‘return’
MiniBatchFcn: ‘collate’
PreprocessingEnvironment: ‘serial’

Outputs:
OutputCast: {‘single’ ‘single’ ‘single’ ‘single’}
OutputAsDlarray: [1 1 1 1]
MiniBatchFormat: {” ” ” ”}
OutputEnvironment: {‘auto’ ‘auto’ ‘auto’ ‘auto’}

As you can see, there are four outputs for the minibatch, which appears to contradict the original error message that there are only two minibatchqueue outputs
Also to confirm, i double checked the transformer input output structure:
net

net =

dlnetwork with properties:

Layers: [64×1 nnet.cnn.layer.Layer]
Connections: [1714×2 table]
Learnables: [110×3 table]
State: [0×3 table]
InputNames: {‘in_enc’ ‘in_dec’}
OutputNames: {‘decoder_out’ ‘fc_13’}
Initialized: 1

View summary with summary.
which shows two inputs and two outputs.
Could someone point me to the mistake I’m making here (likely with the datastore format) – it seems that during batching, the model is only choosing two of the cell columns from cell_data/dstrain for the input and output, rather than all four and its not clear why…thanks in advance for your help!
CG deep learning, minibatch, datastore MATLAB Answers — New Questions

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I’m trying to initialize a variable (MyHandle) that I want to be a handle pointing to some object but which can’t currently be assigned to said object. I have code that needs to behave differently depending on if MyHandle is assigned or not yet and I haven’t found a good way to test if MyHandle has been assigned to a valid object or not.
The function ‘isvalid’ seems like the right choice to test this, however, isvalid throws the error "Incorrect number or types of inputs or outputs for function isvalid." when run on MyHandle in its unassigned state. I’ve tried different ways to initialize it like "handle([])" and "[]", but they all return that same error.
I’ve found some bandaid solutions like initializing MyHandle to an instance of some arbitrary handle subclass and then deleting that initialized object, or assigning MyHandle to be a value of type double and then using "isnumeric" as my test function instead of "isvalid," but I was wondering if there is a more "correct" way to do it for the sake of best practices.
Below is a sample class that recreates the behavior described above. To restate my question in terms of the class below: Is there an initialization for MyHandle I can use in the properties block that will allow IsHandleAssigned to return false before the first time AssignHandle is run with a valid handle and return true afterwards? OR is there a different function besides isvalid that I should be using in IsHandleAssigned to achieve that behavior?
classdef ExampleClass < handle
properties
MyHandle %Will be a handle pointing to an object of an arbitrary class
% MyHandle = handle([]) < This initialization returns an error
% MyHandle = [] < This initialization returns an error
% MyHandle = 0 < This works if I replace ‘isvalid’ with ‘isnumeric’
% but that seems like poor practice to do since it obfuscates the
% purpose of MyHandle
end

methods
function obj = AssignHandle(obj,handleIn)
%This method assigns the handle of whatever class it happens to
%be to my property.
obj.MyHandle = handleIn;
end
function HandleIsAssigned = IsHandleAssigned(obj)
%This method tests whether or not my handle was assigned. Is
%there a better function than isvalid to use?
HandleIsAssigned = isvalid(obj.MyHandle);
end
end
endI’m trying to initialize a variable (MyHandle) that I want to be a handle pointing to some object but which can’t currently be assigned to said object. I have code that needs to behave differently depending on if MyHandle is assigned or not yet and I haven’t found a good way to test if MyHandle has been assigned to a valid object or not.
The function ‘isvalid’ seems like the right choice to test this, however, isvalid throws the error "Incorrect number or types of inputs or outputs for function isvalid." when run on MyHandle in its unassigned state. I’ve tried different ways to initialize it like "handle([])" and "[]", but they all return that same error.
I’ve found some bandaid solutions like initializing MyHandle to an instance of some arbitrary handle subclass and then deleting that initialized object, or assigning MyHandle to be a value of type double and then using "isnumeric" as my test function instead of "isvalid," but I was wondering if there is a more "correct" way to do it for the sake of best practices.
Below is a sample class that recreates the behavior described above. To restate my question in terms of the class below: Is there an initialization for MyHandle I can use in the properties block that will allow IsHandleAssigned to return false before the first time AssignHandle is run with a valid handle and return true afterwards? OR is there a different function besides isvalid that I should be using in IsHandleAssigned to achieve that behavior?
classdef ExampleClass < handle
properties
MyHandle %Will be a handle pointing to an object of an arbitrary class
% MyHandle = handle([]) < This initialization returns an error
% MyHandle = [] < This initialization returns an error
% MyHandle = 0 < This works if I replace ‘isvalid’ with ‘isnumeric’
% but that seems like poor practice to do since it obfuscates the
% purpose of MyHandle
end

methods
function obj = AssignHandle(obj,handleIn)
%This method assigns the handle of whatever class it happens to
%be to my property.
obj.MyHandle = handleIn;
end
function HandleIsAssigned = IsHandleAssigned(obj)
%This method tests whether or not my handle was assigned. Is
%there a better function than isvalid to use?
HandleIsAssigned = isvalid(obj.MyHandle);
end
end
end I’m trying to initialize a variable (MyHandle) that I want to be a handle pointing to some object but which can’t currently be assigned to said object. I have code that needs to behave differently depending on if MyHandle is assigned or not yet and I haven’t found a good way to test if MyHandle has been assigned to a valid object or not.
The function ‘isvalid’ seems like the right choice to test this, however, isvalid throws the error "Incorrect number or types of inputs or outputs for function isvalid." when run on MyHandle in its unassigned state. I’ve tried different ways to initialize it like "handle([])" and "[]", but they all return that same error.
I’ve found some bandaid solutions like initializing MyHandle to an instance of some arbitrary handle subclass and then deleting that initialized object, or assigning MyHandle to be a value of type double and then using "isnumeric" as my test function instead of "isvalid," but I was wondering if there is a more "correct" way to do it for the sake of best practices.
Below is a sample class that recreates the behavior described above. To restate my question in terms of the class below: Is there an initialization for MyHandle I can use in the properties block that will allow IsHandleAssigned to return false before the first time AssignHandle is run with a valid handle and return true afterwards? OR is there a different function besides isvalid that I should be using in IsHandleAssigned to achieve that behavior?
classdef ExampleClass < handle
properties
MyHandle %Will be a handle pointing to an object of an arbitrary class
% MyHandle = handle([]) < This initialization returns an error
% MyHandle = [] < This initialization returns an error
% MyHandle = 0 < This works if I replace ‘isvalid’ with ‘isnumeric’
% but that seems like poor practice to do since it obfuscates the
% purpose of MyHandle
end

methods
function obj = AssignHandle(obj,handleIn)
%This method assigns the handle of whatever class it happens to
%be to my property.
obj.MyHandle = handleIn;
end
function HandleIsAssigned = IsHandleAssigned(obj)
%This method tests whether or not my handle was assigned. Is
%there a better function than isvalid to use?
HandleIsAssigned = isvalid(obj.MyHandle);
end
end
end handles MATLAB Answers — New Questions

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