def __init__(self):
args = commandlineArguments(enumerationTimeout=200,
activation='tanh',
iterations=1,
recognitionTimeout=3600,
a=3,
maximumFrontier=5,
topK=2,
pseudoCounts=30.0,
helmholtzRatio=0.5,
structurePenalty=1.,
CPUs=min(numberOfCPUs(), 8),
extras=list_options)
args['noConsolidation'] = True
args.pop("random_seed")
args['contextual'] = True
args['biasOptimal'] = True
args['auxiliaryLoss'] = True
args['activation'] = "relu"
args['useDSL'] = False
extractor = {
"learned": LearnedFeatureExtractor,
}[args.pop("extractor")]
extractor.H = args.pop("hidden")
timestamp = datetime.datetime.now().isoformat()
outputDirectory = "tmp/%s" % timestamp
os.system("mkdir -p %s" % outputDirectory)
args.update({
"featureExtractor": extractor,
"outputPrefix": "%s/hint" % outputDirectory,
"evaluationTimeout": 0.0005,
})
args.pop("maxTasks")
args.pop("split")
self.primitives = McCarthyPrimitives()
baseGrammar = Grammar.uniform(self.primitives)
self.grammar = baseGrammar
self.train_args = args
self.semantics = [Semantics(i) for i in range(len(SYMBOLS))]
self.allFrontiers = None
self.helmholtzFrontiers = None
try:
import binutil # required to import from dreamcoder modules
except ModuleNotFoundError:
import bin.binutil # alt import if called as module
from dreamcoder.domains.succ.main import main, list_options
from dreamcoder.dreamcoder import commandlineArguments
from dreamcoder.utilities import numberOfCPUs
if __name__ == '__main__':
args = commandlineArguments(
enumerationTimeout=10, activation='tanh', iterations=1000, recognitionTimeout=3600,
a=3, maximumFrontier=10, topK=2, pseudoCounts=30.0,
helmholtzRatio=0.5, structurePenalty=1.,
CPUs=numberOfCPUs(),
extras=list_options)
main(args)
try:
import binutil # required to import from dreamcoder modules
except ModuleNotFoundError:
import bin.binutil # alt import if called as module
from dreamcoder.domains.regex.main import main, regex_options
from dreamcoder.dreamcoder import commandlineArguments
from dreamcoder.utilities import numberOfCPUs
if __name__ == '__main__':
args = commandlineArguments(
activation='relu', iterations=10,
a=3, maximumFrontier=5, topK=2, pseudoCounts=30.0, # try 1 0.1 would make prior uniform
helmholtzRatio=0.5, structurePenalty=1.0, # try
CPUs=numberOfCPUs(),
extras=regex_options)
main(args)
try:
import binutil # required to import from dreamcoder modules
except ModuleNotFoundError:
import bin.binutil # alt import if called as module
from dreamcoder.domains.logo.main import main, list_options, LogoFeatureCNN
from dreamcoder.dreamcoder import commandlineArguments
from dreamcoder.utilities import numberOfCPUs
if __name__ == '__main__':
args = commandlineArguments(structurePenalty=1.5,
recognitionTimeout=3600,
a=3,
topK=2,
iterations=10,
useRecognitionModel=True,
helmholtzRatio=0.5,
featureExtractor=LogoFeatureCNN,
maximumFrontier=5,
CPUs=numberOfCPUs(),
pseudoCounts=30.0,
activation="tanh",
extras=list_options)
main(args)
def rational_options(p):
p.add_argument("--smooth",
action="store_true",
default=False,
help="smooth likelihood model")
if __name__ == "__main__":
import time
arguments = commandlineArguments(featureExtractor=FeatureExtractor,
iterations=6,
CPUs=numberOfCPUs(),
structurePenalty=1.,
recognitionTimeout=7200,
helmholtzRatio=0.5,
activation="tanh",
maximumFrontier=5,
a=3,
topK=2,
pseudoCounts=30.0,
extras=rational_options)
primitives = [
real,
# f1,
real_division,
real_addition,
real_multiplication
]
baseGrammar = Grammar.uniform(primitives)
random.seed(42)
fpi,
real_power,
real_subtraction,
real_addition,
real_division,
real_multiplication
] + [
Program.parse(n)
for n in ["map", "fold", "empty", "cons", "car", "cdr", "zip"]
]
baseGrammar = Grammar.uniform(equationPrimitives)
eprint("Got %d equation discovery tasks..." % len(tasks))
explorationCompression(baseGrammar,
tasks,
outputPrefix="experimentOutputs/scientificLaws",
evaluationTimeout=0.1,
testingTasks=[],
**commandlineArguments(
compressor="ocaml",
featureExtractor=DummyFeatureExtractor,
iterations=10,
CPUs=numberOfCPUs(),
structurePenalty=0.5,
helmholtzRatio=0.5,
a=3,
maximumFrontier=10000,
topK=2,
pseudoCounts=10.0))
try:
import binutil # required to import from dreamcoder modules
except ModuleNotFoundError:
import bin.binutil # alt import if called as module
from dreamcoder.domains.tower.main import main, TowerCNN, tower_options
from dreamcoder.dreamcoder import commandlineArguments
from dreamcoder.utilities import numberOfCPUs
if __name__ == '__main__':
arguments = commandlineArguments(featureExtractor=TowerCNN,
CPUs=numberOfCPUs(),
helmholtzRatio=0.5,
recognitionTimeout=3600,
iterations=6,
a=3,
structurePenalty=1,
pseudoCounts=10,
topK=2,
maximumFrontier=5,
extras=tower_options)
main(arguments)
try:
import binutil # required to import from dreamcoder modules
except ModuleNotFoundError:
import bin.binutil # alt import if called as module
from dreamcoder.domains.text.main import main, LearnedFeatureExtractor, text_options
from dreamcoder.dreamcoder import commandlineArguments
from dreamcoder.utilities import numberOfCPUs
if __name__ == '__main__':
arguments = commandlineArguments(
recognitionTimeout=7200,
iterations=10,
helmholtzRatio=0.5,
topK=2,
maximumFrontier=5,
structurePenalty=10.,
a=3,
activation="tanh",
CPUs=numberOfCPUs(),
featureExtractor=LearnedFeatureExtractor,
pseudoCounts=30.0,
extras=text_options)
main(arguments)