Train a GAN example difficulty

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mark palmer
mark palmer am 22 Mai 2020
Kommentiert: zahoor m am 12 Dez. 2023
I am working through the example for using a GAN given here:
https://www.mathworks.com/help/deeplearning/ug/train-generative-adversarial-network.html
And I get an error at the point where it says projectAndReshapeLayer.
Undefined function 'projectAndReshapeLayer' for input arguments of type
'double'.
When I click on the word projectAndReshapeLayer, I get this:
You clicked a link that corresponds to this MATLAB command:
edit(fullfile(matlabroot,'examples','nnet','main','projectAndReshapeLayer.m'))
Run the command by entering it in the MATLAB Command Window. Web browsers do not support MATLAB commands.
So when I paste this link into the Command Window, it simply creates a blank projectAndReshapeLayer.m file and the error persists.
What am I doing wrong?
To project and reshape the noise input, use the custom layer projectAndReshapeLayer, attached to this example as a supporting file. The projectAndReshapeLayer layer upscales the input using a fully connected operation and reshapes the output to the specified size.
filterSize = 5;
numFilters = 64;
numLatentInputs = 100;
projectionSize = [4 4 512];
layersGenerator = [
imageInputLayer([1 1 numLatentInputs],'Normalization','none','Name','in')
projectAndReshapeLayer(projectionSize,numLatentInputs,'proj');
transposedConv2dLayer(filterSize,4*numFilters,'Name','tconv1')
batchNormalizationLayer('Name','bnorm1')
reluLayer('Name','relu1')
transposedConv2dLayer(filterSize,2*numFilters,'Stride',2,'Cropping','same','Name','tconv2')
batchNormalizationLayer('Name','bnorm2')
reluLayer('Name','relu2')
transposedConv2dLayer(filterSize,numFilters,'Stride',2,'Cropping','same','Name','tconv3')
batchNormalizationLayer('Name','bnorm3')
reluLayer('Name','relu3')
transposedConv2dLayer(filterSize,3,'Stride',2,'Cropping','same','Name','tconv4')
tanhLayer('Name','tanh')];
lgraphGenerator = layerGraph(layersGenerator);
  8 Kommentare
Rahul Gowtham Poola
Rahul Gowtham Poola am 5 Feb. 2023
Error using dlnetwork/validateForwardInputs
Layer 'in': Invalid input data. Invalid number of spatial dimensions. Layer expects 2 but received 0.
zahoor m
zahoor m am 12 Dez. 2023
Layer 'input': Invalid input data. Invalid number of spatial dimensions. Layer expects 2 but received
0.

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Akzeptierte Antwort

Xiangxue Wang
Xiangxue Wang am 4 Jun. 2020
Trying to add the projectAndReshapeLayer path to your matlab searching path. By default, the deep learning example are not in 2020 path.
Hope this will work for you
>> fullfile(matlabroot,'examples','nnet','main','projectAndReshapeLayer.m')
ans =
'C:\Program Files\MATLAB\R2020a\examples\nnet\main\projectAndReshapeLayer.m'
% so adding path to by:
addpath('C:\Program Files\MATLAB\R2020a\examples\nnet\main')

Weitere Antworten (3)

soliya
soliya am 11 Jun. 2020
  1 Kommentar
Yonglei GUI
Yonglei GUI am 21 Feb. 2021
Hello, my matlab has no the file minibatchqueue.m, so may you give me a URL like this? or you can send email narutomst@163.com. Thank you very much!

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Ieuan Evans
Ieuan Evans am 25 Jun. 2020
Bearbeitet: Ieuan Evans am 25 Jun. 2020
This example was updated in R2020a to use this custom layer. If you use the command openExample('nnet/TrainGenerativeAdversarialNetworkGANExample') in MATLAB, then it will open the correct version of this example for your version of MATLAB.
Hope this helps.

Ramyakrishna
Ramyakrishna am 24 Okt. 2022
Replace the line with the below line
projectAndReshapeLayer(projectionSize,numLatentInputs,Name='proj')

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