Create Workflow for Autonomous Pipeline Execution

In montipipes#1 a python script was generated to execute a python pipeline. In this issue minimal workflow shall be created to test functionality integration into the framework

Tasks

• dedicated classes to execute the following steps
• parsing
  • parse appropriate pipeline model
  • parse pipeline configuration
  • parse training configuration
  • symbol table for EMA pipeline
  • symbol table for training and pipeline configurations
• check CoCos
• inter-model validations (schemas / configurations):
• generate backend-related artefacts
  • wrap EMADLGenerator with new main generator (MontiAnnaGenerator)
  • refactor MontiAnnaGenerator using EMADLGenerator functionality
• provide python training configuration
  • use default if not generated
  • generate the configuration
• choose the appropriate schema API
• calculate execution semantic
• generate pipeline script
• execute pipeline
• read results
• Discuss TODOS

Issues

• Problem with parsing LeNet model with generic parameters

Notes

• EMADLGenerator for inspiration
• Defaults are to be used to create quick demonstration
• Only PyTorch is supported as backend for now