Should we keep netwasQuantized? It is used only in two ways:

1. Check whether backend supports quantized model;
2. Calculate blob size in getMemoryConsumption.

Ubuntu2004-x64-CUDA / BuildAndTest:

[ RUN      ] DNNTestNetwork.FastNeuralStyle_eccv16/0, where GetParam() = CUDA/CUDA
/home/ci/opencv/modules/dnn/test/test_common.impl.hpp:75: Failure
Expected: (normL1) <= (l1), actual: 0.000708958 vs 0.0007
First run  |ref| = 348.99359130859375

I took a loot at the model and it has nothing to do with quantization, so this should not be related to the changes in this PR.

@fengyuentau, since the error is still very low, probably it makes sense just slightly increase the tolerance threshold, e.g. from 0.0007 to 0.001

@fengyuentau, since the error is still very low, probably it makes sense just slightly increase the tolerance threshold, e.g. from 0.0007 to 0.001

Yes, sure. I want to find out whether it is sporadic and do it in antoher PR.

Related: #24993

@fengyuentau, thank you! We discussed it briefly with @asmorkalov. Indeed, the functionality shall be removed and the tests should be commented off. It's recommended to use // to comment off tests to make the patch easier to read. /* and */, applied to big pieces of code are difficult to analyze in a patch.

I think netWasQuantized should be removed as well since we are going to have type inference and whether a net (quantized or not) should be supported by any backend should be determined by whether all the layers are supported in the backend.

@fengyuentau, thank you! We discussed it briefly with @asmorkalov. Indeed, the functionality shall be removed and the tests should be commented off. It's recommended to use // to comment off tests to make the patch easier to read. /* and */, applied to big pieces of code are difficult to analyze in a patch.

I used #if 0 as sugguested by @opencv-alalek.