SigmoidLayer wont work while implementing on ZC706

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Chen
Chen el 3 de Mzo. de 2025
Respondida: Kiran Kintali el 5 de Mzo. de 2025
layers = [
imageInputLayer([800,1,1], 'Name', 'input','Normalization', 'none') % input layers (800, 1, 1)
% encoder
convolution2dLayer([3,1], 64, 'Padding', 'same', 'Stride', [1,1], 'Name', 'enc_conv1')
reluLayer('Name', 'enc_relu1')
convolution2dLayer([3,1], 32, 'Padding', 'same', 'Stride', [1,1], 'Name', 'enc_conv2')
reluLayer('Name', 'enc_relu2')
convolution2dLayer([3,1], 16, 'Padding', 'same', 'Stride', [1,1], 'Name', 'enc_conv3')
reluLayer('Name', 'enc_relu3')
convolution2dLayer([3,1], 4, 'Padding', 'same', 'Stride', [1,1], 'Name', 'enc_conv4')
reluLayer('Name', 'enc_relu4')
% decoder
convolution2dLayer([3,1], 16, 'Padding', 'same', 'Stride', [1,1], 'Name', 'dec_conv1')
reluLayer('Name', 'dec_relu1')
convolution2dLayer([3,1], 32, 'Padding', 'same', 'Stride', [1,1], 'Name', 'dec_conv2')
reluLayer('Name', 'dec_relu2')
convolution2dLayer([3,1], 64, 'Padding', 'same', 'Stride', [1,1], 'Name', 'dec_conv3')
reluLayer('Name', 'dec_relu3')
convolution2dLayer([3,1], 1, 'Padding', 'same', 'Stride', [1,1], 'Name', 'dec_output')
sigmoidLayer('Name', 'sigmoid_output')
];
hTarget = dlhdl.Target("Xilinx",Interface="Ethernet",IPAddress="192.168.1.101");
hdlsetuptoolpath('ToolName', 'Xilinx Vivado', 'ToolPath', 'E:\Xilinx\Vivado\2024.2\bin\vivado.bat');
hW = dlhdl.Workflow(Network=net,Bitstream='zc706_single',Target=hTarget);
dn = compile(hW);
deploy(hW);
while I deploy the sigmoidlayer the output from ZC706 fpga the output is zero after sigmoidlayer, and the middle layers output's parameters is correct, it seems that the sigmoidlayers have some problems.How can I fix or it is a bug?

Respuestas (1)

Kiran Kintali
Kiran Kintali el 5 de Mzo. de 2025
Thank you for reporting this. Development team is able to reproduce the issue and will post an update soon.

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R2024b

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