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I am trying to use "Deploy Neural Network Regression Model to FPGA/ASIC Platform" example

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On following the instruction I am getting the following error
" Parameter 'X_MAX' in 'slexFPGAPredictFixedPointExample/Subsystem/de- normalize/MATLAB Function'has been marked as tunable, but not defined as a Simulink.Parameter object. For HDL Code generation, either define the parameter as non-tunable or define the tunable parameter as a Simulink.Parameter with 'ExportedGlobal' storage class."
now sure how to fix the error.
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Manikanta Aditya
Manikanta Aditya am 4 Apr. 2024
The error message you’re seeing is indicating that the parameter ‘X_MAX’ in your Simulink model has been marked as tunable, but it hasn’t been defined as a Simulink.Parameter object. For HDL code generation, parameters that are marked as tunable need to be defined as Simulink.Parameter objects with ‘ExportedGlobal’ storage class.
Here’s how you can define ‘X_MAX’ as a Simulink.Parameter object:
X_MAX = Simulink.Parameter;
X_MAX.Value = your_value; % replace 'your_value' with the actual value for X_MAX
X_MAX.CoderInfo.StorageClass = 'ExportedGlobal';
After defining ‘X_MAX’ as above, you can use it in your Simulink model. If ‘X_MAX’ should not be tunable, you can simply assign the value to ‘X_MAX’ in your MATLAB workspace:
Then, in your Simulink model, you can use ‘X_MAX’ directly.

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Antworten (1)

Kiran Kintali
Kiran Kintali am 8 Apr. 2024
Are you running into issues trying this example? What release of MATLAB are you currently using? Thanks.

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