Workflow adjustment for multiple networks
Current situation
The current workflow assumes one EMADL component representing a neural network. For applications like the MNISTCalculator we need to deal with multiple networks, possibly trained with different training configurations.
Tasks
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When an EMADL model is given, iterate the model looking up all networks.
Notes
- The [EMADLGenerator] implemented (https://git.rwth-aachen.de/monticore/EmbeddedMontiArc/generators/EMADL2CPP/-/blob/master/src/main/java/de/monticore/lang/monticar/emadl/generator/EMADLGenerator.java#L988) this functionality
- An example of how to resolve a neural network in an emadl model is given here