GitHub - GANPerf/GANPerf: GANPerf is a deep learning with generative adversarial network that can train a software performance prediction model from a limited number of samples and predict the performance value of a new configuration.

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GANPerf is a deep learning with generative adversarial network that can train a software performance prediction model from a limited number of samples and predict the performance value of a new configuration.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Apache_AllNumeric.csv		Apache_AllNumeric.csv
BDBC_AllNumeric.csv		BDBC_AllNumeric.csv
BDBJ_AllNumeric.csv		BDBJ_AllNumeric.csv
Dune_AllNumeric.csv		Dune_AllNumeric.csv
GANPerf.tar.gz		GANPerf.tar.gz
LLVM_AllNumeric.csv		LLVM_AllNumeric.csv
hipacc_AllNumeric.csv		hipacc_AllNumeric.csv
hsmgp_AllNumeric.csv		hsmgp_AllNumeric.csv
model_def.py		model_def.py
model_train.py		model_train.py
readme.txt		readme.txt
record.csv		record.csv
results.docx		results.docx
util.py		util.py

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model_train.py   including the train phase, evaluation phase and testing phase
model_def.py   construct generator network and discriminator network
util.py  handle with datasets information

run python model_train.py

record.csv   recording the expermental results in Apache with 5n size of sample
results.doc   the expermental results in all datasets

Prerequisites  Python 3.6.x
               pytorch 0.3.0