UNIQORN -- The Universal Neural-network Interface for Quantum Observable Readout from N-body wavefunctions
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Functions | |
def | runtime_checks () |
Variables | |
tfVERSION = tf.version.VERSION | |
string | pythonVERSION = str(sys.version_info.major)+'.'+str(sys.version_info.minor)+'.'+str(sys.version_info.micro) |
numpyVERSION = numpy.__version__ | |
matplotlibVERSION = matplotlib.__version__ | |
scipyVERSION = scipy.__version__ | |
NTrainDatasets = inp.NDatasets*inp.TrainFraction | |
NTestDatasets = inp.NDatasets*(1-inp.TrainFraction) | |
IDs_tot = glob.glob(inp.DirName+'*/') | |
RUNTIME CHECKS ON DATA #########. More... | |
def Runtime_check.runtime_checks | ( | ) |
Perform runtime checks on python environment
Runtime_check.IDs_tot = glob.glob(inp.DirName+'*/') |
RUNTIME CHECKS ON DATA #########.
Runtime_check.matplotlibVERSION = matplotlib.__version__ |
Runtime_check.NTestDatasets = inp.NDatasets*(1-inp.TrainFraction) |
Runtime_check.NTrainDatasets = inp.NDatasets*inp.TrainFraction |
RUNTIME CHECKS ON INPUT PARAMETERS #########
some runtime checks on the input
Perform runtime checks for the consistency of the structure of the input data. Parameters ---------- NONE Returns ------- NONE, executes runtime checks and aborts if there are inconsistencies. References ---------- See Also -------- Notes ----- Examples --------
Runtime_check.numpyVERSION = numpy.__version__ |
string Runtime_check.pythonVERSION = str(sys.version_info.major)+'.'+str(sys.version_info.minor)+'.'+str(sys.version_info.micro) |
Runtime_check.scipyVERSION = scipy.__version__ |
Runtime_check.tfVERSION = tf.version.VERSION |