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 xrange(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']
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'])
def solve(self, job):
logging.debug('Starting opentuner')
failed_jobs_threshold = self.jobs_limit * _FAILED_JOBS_COEF
manipulator = ConfigurationManipulator()
for var in job.optimization_job.task_variables:
if var.HasField('continuous_variable'):
cont_var = var.continuous_variable
param = FloatParameter(var.name, cont_var.l, cont_var.r)
else:
int_var = var.integer_variable
param = IntegerParameter(var.name, int_var.l, int_var.r)
manipulator.add_parameter(param)
parser = argparse.ArgumentParser(parents=opentuner.argparsers())
args = parser.parse_args([])
args.parallelism = 4
args.no_dups = True
interface = DefaultMeasurementInterface(args=args,
manipulator=manipulator,
project_name=job.job_id)
api = TuningRunManager(interface, args)
jobs = []
current_value = None
failed_jobs = 0
while failed_jobs < failed_jobs_threshold and not self._check_for_termination(
job):
remaining_jobs = []
for job_id, desired_result in jobs:
res = self._get_evaluation_job_result(job_id)
if res is not None:
if current_value is None or current_value > res + _THRESHOLD_EPS:
failed_jobs = 0
else:
failed_jobs += 1
result = Result(time=res)
api.report_result(desired_result, result)
else:
remaining_jobs.append((job_id, desired_result))
jobs = remaining_jobs
while len(jobs) < self.jobs_limit:
desired_result = api.get_next_desired_result()
if desired_result is None:
break
job_id = self._start_evaluation_job(
job, desired_result.configuration.data)
if job_id is None:
api.report_result(desired_result, Result(time=math.inf))
else:
jobs.append((job_id, desired_result))
if not jobs:
break
r = api.get_best_result()
if r is not None:
current_value = r.time
logging.debug('Opentuner current state: %s %s', r.time,
api.get_best_configuration())
time.sleep(5)
res = api.get_best_result().time
vars = api.get_best_configuration()
api.finish()
return res, vars
def tuning_loop():
report_delay = 5
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()
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()
def tuning_loop():
report_delay = 30
last_time = time.time()
start_time = last_time
iterations = 5
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.")
parser.add_argument("--application",
type = str,
help = "Application name.")
parser.add_argument("--verilog-file",
type = str,
help = "Verilog file for the application.")
args = parser.parse_args()
pool = ThreadPool(args.processes)
manipulator = ConfigurationManipulator()
global application
global verilog_file
global application_path
global container_path
global host_path
global image_name
global script_name
global tuning_init
application = args.application
verilog_file = args.verilog_file
application_path = "/root/legup_src/legup-4.0/examples/chstone/{0}".format(application)
container_path = "/root/legup_src/legup-4.0/examples/chstone/{0}/tuner".format(application)
host_path = "/home/bruelp/legup-tuner/post_place_and_route/py"
image_name = "legup_quartus"
script_name = "measure.sh"
print(application, container_path, application_path)
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['value'],
cycles = result['cycles'],
fmax = result['fmax'],
LU = result['lu'],
pins = result['pins'],
regs = result['regs'],
block = result['block'],
ram = result['ram'],
dsp = result['dsp']))
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()
def tuning_loop():
report_delay = 30
last_time = time.time()
start_time = last_time
iterations = 5
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.")
parser.add_argument("--application", type=str, help="Application name.")
parser.add_argument("--verilog-file",
type=str,
help="Verilog file for the application.")
args = parser.parse_args()
pool = ThreadPool(args.processes)
manipulator = ConfigurationManipulator()
global application
global verilog_file
global application_path
global container_path
global host_path
global image_name
global script_name
global tuning_init
application = args.application
verilog_file = args.verilog_file
application_path = "/root/legup_src/legup-4.0/examples/chstone/{0}".format(
application)
container_path = "/root/legup_src/legup-4.0/examples/chstone/{0}/tuner".format(
application)
host_path = "/home/bruelp/legup-tuner/post_place_and_route/py"
image_name = "legup_quartus"
script_name = "measure.sh"
print(application, container_path, application_path)
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['value'],
cycles=result['cycles'],
fmax=result['fmax'],
LU=result['lu'],
pins=result['pins'],
regs=result['regs'],
block=result['block'],
ram=result['ram'],
dsp=result['dsp']))
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()
