本文整理汇总了Python中opentuner.search.manipulator.ConfigurationManipulator.add_parameter方法的典型用法代码示例。如果您正苦于以下问题:Python ConfigurationManipulator.add_parameter方法的具体用法?Python ConfigurationManipulator.add_parameter怎么用?Python ConfigurationManipulator.add_parameter使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类opentuner.search.manipulator.ConfigurationManipulator
的用法示例。
在下文中一共展示了ConfigurationManipulator.add_parameter方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def main():
parser = argparse.ArgumentParser(parents=opentuner.argparsers())
args = parser.parse_args()
manipulator = ConfigurationManipulator()
manipulator.add_parameter(IntegerParameter('x', -200, 200))
interface = DefaultMeasurementInterface(args=args,
manipulator=manipulator,
project_name='examples',
program_name='api_test',
program_version='0.1')
api = TuningRunManager(interface, args)
for x in range(500):
desired_result = api.get_next_desired_result()
if desired_result is None:
# The search space for this example is very small, so sometimes
# the techniques have trouble finding a config that hasn't already
# been tested. Change this to a continue to make it try again.
break
cfg = desired_result.configuration.data
result = Result(time=test_func(cfg))
api.report_result(desired_result, result)
best_cfg = api.get_best_configuration()
api.finish()
print('best x found was', best_cfg['x'])
示例2: manipulator
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def manipulator(self):
manipulator = ConfigurationManipulator()
for d in xrange(self.args.dimensions):
manipulator.add_parameter(FloatParameter(d,
-self.args.domain,
self.args.domain))
return manipulator
示例3: get_tuning_driver
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def get_tuning_driver(self):
from ctree.opentuner.driver import OpenTunerDriver
from opentuner.search.manipulator import ConfigurationManipulator
from opentuner.search.manipulator import FloatParameter
from opentuner.search.objective import MinimizeTime
manip = ConfigurationManipulator()
manip.add_parameter(FloatParameter("x", -100.0, 100.0))
manip.add_parameter(FloatParameter("y", -100.0, 100.0))
return OpenTunerDriver(manipulator=manip, objective=MinimizeTime())
示例4: create_test_tuning_run
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def create_test_tuning_run(db):
parser = argparse.ArgumentParser(parents=opentuner.argparsers())
args = parser.parse_args()
args.database = db
manipulator = ConfigurationManipulator()
manipulator.add_parameter(IntegerParameter('x', -200, 200))
interface = DefaultMeasurementInterface(args=args,
manipulator=manipulator,
project_name='examples',
program_name='api_test',
program_version='0.1')
api = TuningRunManager(interface, args)
return api
示例5: get_tuning_driver
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def get_tuning_driver(self):
from ctree.opentuner.driver import OpenTunerDriver
from opentuner.search.manipulator import ConfigurationManipulator
from opentuner.search.manipulator import IntegerParameter
from opentuner.search.manipulator import PowerOfTwoParameter
from opentuner.search.objective import MinimizeTime, MinimizeEnergy
manip = ConfigurationManipulator()
manip.add_parameter(PowerOfTwoParameter("rx", 1, 8))
manip.add_parameter(PowerOfTwoParameter("ry", 1, 8))
manip.add_parameter(IntegerParameter("cx", 8, 32))
manip.add_parameter(IntegerParameter("cy", 8, 32))
return OpenTunerDriver(manipulator=manip, objective=MinimizeTime())
示例6: test_1d_config
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def test_1d_config(self):
from ctree.opentuner.driver import OpenTunerDriver
from opentuner.search.objective import MinimizeTime
from opentuner.search.manipulator import ConfigurationManipulator, IntegerParameter
cfg = ConfigurationManipulator()
cfg.add_parameter(IntegerParameter("foo", 0, 199))
driver = OpenTunerDriver(manipulator=cfg, objective=MinimizeTime())
unsearched = set(range(200))
for cfg in islice(driver.configs, 20):
val = cfg["foo"]
driver.report(time=val)
unsearched.remove(val)
self.assertEqual(len(unsearched), 180)
示例7: main
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def main(args, cfg, ss):
logging.basicConfig(level=logging.INFO)
manipulator = ConfigurationManipulator()
params = cfg.getAllParameters()
print "\nFeature variables...."
for key in params.keys():
print "\t", key
manipulator.add_parameter(cfg.getParameter(key))
mi = StreamJitMI(args, ss, manipulator, FixedInputManager(),
MinimizeTime())
m = TuningRunMain(mi, args)
m.main()
示例8: main
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def main(args, cfg, jvmOptions):
logging.basicConfig(level=logging.INFO)
manipulator = ConfigurationManipulator()
params = dict(cfg.items() + jvmOptions.items())
#print "\nFeature variables...."
for key in params.keys():
#print "\t", key
manipulator.add_parameter(params.get(key))
mi = StreamJitMI(args,jvmOptions, manipulator, FixedInputManager(),
MinimizeTime())
m = TuningRunMain(mi, args)
m.main()
示例9: manipulator
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def manipulator(self):
'''create the configuration manipulator, from example config'''
upper_limit = self.program_settings['n']+1
cfg = open(self.args.program_cfg_default).read()
manipulator = ConfigurationManipulator()
for m in re.finditer(r" *([a-zA-Z0-9_-]+)[ =]+([0-9e.+-]+) *"
r"[#] *([a-z]+).* ([0-9]+) to ([0-9]+)", cfg):
k, v, valtype, minval, maxval = m.group(1,2,3,4,5)
minval = float(minval)
maxval = float(maxval)
if upper_limit:
maxval = min(maxval, upper_limit)
assert valtype=='int'
#log.debug("param %s %f %f", k, minval, maxval)
if minval == 0 and maxval < 64:
manipulator.add_parameter(SwitchParameter(k, maxval))
else:
manipulator.add_parameter(LogIntegerParameter(k, minval, maxval))
return manipulator
示例10: manipulator
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def manipulator(self):
m = ConfigurationManipulator()
for i in range(0, 12000):
m.add_parameter(BooleanParameter("L{}".format(i)))
m.add_parameter(BooleanParameter("R{}".format(i)))
m.add_parameter(BooleanParameter("D{}".format(i)))
m.add_parameter(BooleanParameter("B{}".format(i)))
m.add_parameter(BooleanParameter("A{}".format(i)))
return m
示例11: manipulator
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def manipulator(self):
m = ConfigurationManipulator()
for i in xrange(0, 12000):
m.add_parameter(BooleanParameter('L{}'.format(i)))
m.add_parameter(BooleanParameter('R{}'.format(i)))
m.add_parameter(BooleanParameter('D{}'.format(i)))
m.add_parameter(BooleanParameter('B{}'.format(i)))
m.add_parameter(BooleanParameter('A{}'.format(i)))
return m
示例12: manipulator
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def manipulator(self):
m = ConfigurationManipulator()
for i in xrange(0, 1000):
m.add_parameter(EnumParameter('move{}'.format(i), ["R", "L", "RB", "LB", "N", "LR", "LRB", "R2", "RB2", "R3", "RB3"]))
m.add_parameter(IntegerParameter('move_duration{}'.format(i), 1, 60))
#m.add_parameter(BooleanParameter("D"+str(i)))
for i in xrange(0, 1000):
m.add_parameter(IntegerParameter('jump_frame{}'.format(i), 0, 24000))
m.add_parameter(IntegerParameter('jump_duration{}'.format(i), 1, 32))
return m
示例13: manipulator
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def manipulator(self):
"""create the configuration manipulator, from example config"""
upper_limit = self.program_settings['n'] + 1
cfg = open(self.args.program_cfg_default).read()
manipulator = ConfigurationManipulator()
self.choice_sites = dict()
for m in re.finditer(r" *([a-zA-Z0-9_-]+)[ =]+([0-9e.+-]+) *"
r"[#] *([a-z]+).* ([0-9]+) to ([0-9]+)", cfg):
k, v, valtype, minval, maxval = m.group(1, 2, 3, 4, 5)
minval = float(minval)
maxval = float(maxval)
if upper_limit:
maxval = min(maxval, upper_limit)
assert valtype == 'int'
#log.debug("param %s %f %f", k, minval, maxval)
m1 = re.match(r'(.*)_lvl[0-9]+_rule', k)
m2 = re.match(r'(.*)_lvl[0-9]+_cutoff', k)
if m1:
self.choice_sites[m1.group(1)] = int(maxval)
elif m2:
pass
elif k == 'worker_threads':
manipulator.add_parameter(IntegerParameter(k, 1, 16))
elif k == 'distributedcutoff':
pass
elif minval == 0 and maxval < 64:
manipulator.add_parameter(SwitchParameter(k, maxval))
else:
manipulator.add_parameter(LogIntegerParameter(k, minval, maxval))
for name, choices in self.choice_sites.items():
manipulator.add_parameter(
SelectorParameter('.' + name, range(choices + 1),
upper_limit / choices))
self.manipulator = manipulator
return manipulator
示例14: tuning_loop
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def tuning_loop():
report_delay = 200
last_time = time.time()
start_time = last_time
parser = argparse.ArgumentParser(parents = opentuner.argparsers())
parser.add_argument("--processes",
type = int,
help = "Number of Python threads available.")
parser.add_argument("--no-wait",
action = "store_true",
help = "Do not wait for requested results to generate more requests.")
args = parser.parse_args()
pool = ThreadPool(args.processes)
manipulator = ConfigurationManipulator()
for name in legup_parameters.parameters:
parameter_type = legup_parameters.parameter_type(name)
values = legup_parameters.parameter_values(name)
if parameter_type == int:
manipulator.add_parameter(IntegerParameter(name, values[0], values[1]))
elif parameter_type == bool:
manipulator.add_parameter(BooleanParameter(name))
elif parameter_type == Enum:
manipulator.add_parameter(EnumParameter(name, values))
else:
print("ERROR: No such parameter type \"{0}\"".format(name))
interface = DefaultMeasurementInterface(args = args,
manipulator = manipulator,
project_name = 'HLS-FPGAs',
program_name = 'legup-tuner',
program_version = '0.0.1')
manager = TuningRunManager(interface, args)
current_time = time.time()
computing_results = []
computed_results = []
desired_results = manager.get_desired_results()
while current_time - start_time < args.stop_after:
if args.no_wait:
if len(desired_results) != 0 or len(computing_results) != 0:
for desired_result in desired_results:
computing_results.append([desired_result,
pool.apply_async(get_wallclock_time,
(desired_result.configuration.data, ))])
for result in computing_results:
if result[1].ready() and result[0] not in computed_results:
cost = result[1].get()
manager.report_result(result[0], Result(time = cost))
computed_results.append(result)
for result in computed_results:
if result in computing_results:
computing_results.remove(result)
computed_results = []
else:
if len(desired_results) != 0:
cfgs = [dr.configuration.data for dr in desired_results]
results = pool.map_async(get_wallclock_time, cfgs).get(timeout = None)
for dr, result in zip(desired_results, results):
manager.report_result(dr, Result(time = result))
desired_results = manager.get_desired_results()
current_time = time.time()
if (current_time - last_time) >= report_delay:
log_intermediate(current_time - start_time, manager)
last_time = current_time
current_time = time.time()
log_intermediate(current_time - start_time, manager)
save_final_configuration(manager.get_best_configuration())
manager.finish()
示例15: manipulator
# 需要导入模块: from opentuner.search.manipulator import ConfigurationManipulator [as 别名]
# 或者: from opentuner.search.manipulator.ConfigurationManipulator import add_parameter [as 别名]
def manipulator(self):
#FIXME: should some of these be expressed as booleans or switch parameters?
#FIXME: how to express P and Q, given PxQ=nprocs, with nprocs being fixed?
#FIXME: how to express logscaled parameter with a particular base?
manipulator = ConfigurationManipulator()
manipulator.add_parameter(IntegerParameter("blocksize", 1, 64))
manipulator.add_parameter(IntegerParameter("row_or_colmajor_pmapping", 0, 1))
manipulator.add_parameter(IntegerParameter("pfact", 0, 2))
manipulator.add_parameter(IntegerParameter("nbmin", 1, 4))
manipulator.add_parameter(IntegerParameter("ndiv", 2, 2))
manipulator.add_parameter(IntegerParameter("rfact", 0, 4))
manipulator.add_parameter(IntegerParameter("bcast", 0, 5))
manipulator.add_parameter(IntegerParameter("depth", 0, 4))
manipulator.add_parameter(IntegerParameter("swap", 0, 2))
manipulator.add_parameter(IntegerParameter("swapping_threshold", 64, 128))
manipulator.add_parameter(IntegerParameter("L1_transposed", 0, 1))
manipulator.add_parameter(IntegerParameter("U_transposed", 0, 1))
manipulator.add_parameter(IntegerParameter("mem_alignment", 4, 16))
return manipulator