Estimate the resource utilization for custom board that has the Kintex7 chip family

I‘m using Matlab 2023a，Deep learning HDL Toolbox 1.5.

I referred to the document ‘Estimate Resource Utilization for Custom Board and Reference Design’

to estimate the resource utilization for custom board that has the Kintex7 chip family.

However, I encountered an error that 'Unable to extract total resource count from tool. Verify that the tool version/device information is correct.'

I used the dlhdl_device_registration.m file to register a custom device family.

hFPGADeviceFamily = { ...
    kintex();...
    kintex_ultrascale();...
    arria10soc();...
    zynq_ultrascale();...
    zynq7000()
    };
end
function hFPGADeviceFamily = kintex()
hFPGADeviceFamily = hdlcoder.FPGADeviceInfo('Name', 'Kintex7');
hFPGADeviceFamily.Vendor = 'Xilinx';
hFPGADeviceFamily.DSPWidth = [25, 18];
hFPGADeviceFamily.RAMWidth = 36;
hFPGADeviceFamily.SplitRAMWidth = 18;
hFPGADeviceFamily.RAMDepth = 1024;
end

%Use the command 
>> hPC = dlhdl.ProcessorConfig;
>> hPC.TargetPlatform = 'Generic Deep Learning Processor';
>> hPC.SynthesisToolChipFamily = 'Kintex7';
>> hPC.SynthesisToolDeviceName = 'xc7k325tffg900-2';
>> hPC.estimateResources

It given the error:

Warning:: Device family "Kintex7" is not supported for LUT Estimation. Supported families are Zynq, Zynq UltraScale+ and Arria 10.

> ：dnnfpga.estimate.getLUTCount

: dnnfpga.estimate/EstimatorNetworkArea/estimateArea

: dnnfpga.config/ProcessorConfigBase/estimateArea

: dnnfpga.config/ProcessorConfigBase/estimateResources

Unable to extract total resource count from tool. Verify that the tool version/device information is correct.

[Sri Kapali]

Hi, to help investigate can you provide us with the version of MATLAB and Deep learning HDL Toolbox you are using?

[Ruikai]

Matlab 2023a，Deep learning HDL Toolbox 1.5