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

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Chanakya Hingu 2024-4-4，1:24

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https://ww2.mathworks.cn/matlabcentral/answers/2102651-i-am-trying-to-use-deploy-neural-network-regression-model-to-fpga-asic-platform-example

回答： Kiran Kintali 2024-4-8，22:48

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 2024-4-4，4:49

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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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