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I read your paper "SLAP: A Supervised Learning Approach for Priority Cuts Technology Mapping" and I had a few questions when trying to get the results.
How exactly to run the scripts correctly and in what order? Are there any general comments?
After launching train.pl I stopped at the "Training Neural Network" stage (step2_genCNN.py)
I would be very grateful if you would give some instructions on how to start generating cuts, embeddings and using CNN using the files provided in the repo on GitHub.
Looking forward to your response!
The text was updated successfully, but these errors were encountered:
I read your paper "SLAP: A Supervised Learning Approach for Priority Cuts Technology Mapping" and I had a few questions when trying to get the results.
How exactly to run the scripts correctly and in what order? Are there any general comments?
After launching train.pl I stopped at the "Training Neural Network" stage (step2_genCNN.py)
I would be very grateful if you would give some instructions on how to start generating cuts, embeddings and using CNN using the files provided in the repo on GitHub.
Looking forward to your response!
The text was updated successfully, but these errors were encountered: