[EDIT]
David figured out that he needed GPU Coder Interface for Deep Learning Libraries.
~~~ Original Answer ~~~
Hi David,
Here's the workflow that works for me. I'm using R2021a. I, mostly, followed the steps in this example.
- Open Deep Network Designer (DND).
- Load pretrained googlenet.
- Modify the network to my training data.
- Load the training data.
- Train the network.
I assume it works for you as well until this point. If you try to load the trained network into Deep Network Quantizer (DNQ) at this stage, it would not be possible since DNQ loads networks/quantizer objects from the workspace. So, you should export from DND before importing into DNQ. Here are my next steps which worked.
- Export trained network to workspace from DND.
- Load network from workspace.
- Create a dlquantizer network using the exported trained network.
You might have had issues in loading the trained network into DNQ because it wasn't exported to the workspace yet from DND. I'm not sure why you're seeing the dltargets.internal.getNetworkInputSizes error. If you're still seeing it, please attach detailed reproduction steps. This question says you're on R2021a as well. Please confirm your release version once again so that I can try to recreate your error at my end.
