# generate the seed for this simulation
seed = int(np.random.randint(2**32, dtype=np.uint32))
# add the new combination to the list
args.append([
n_targets,
n_interferers,
n_mics,
sinr,
wav_files,
room_seed,
seed,
])
np.random.set_state(rng_state)
return args
if __name__ == "__main__":
rrtools.run(
one_loop,
generate_arguments,
func_init=init,
base_dir=base_dir,
results_dir="data/",
description=
"Simulation for Independent Vector Extraction via Iterative SINR Maximization (submitted to ICASSP 2020)",
)
def parallel_loop(args):
global parameters
import time
# split arguments
timeout = args[0]
key = args[1]
time.sleep(timeout)
return dict(key=key, timeout=timeout, secret=parameters['secret'])
def gen_args(parameters):
timeouts = range(parameters['max_timeout'])
keys = range(parameters['max_int'])
return list(itertools.product(timeouts, keys))
if __name__ == '__main__':
rrtools.run(parallel_loop,
gen_args,
func_init=init,
base_dir=base_dir,
results_dir='data/',
description='Dummy test simulation')
from generate_samples import sampling, wav_read_center
# find the absolute path to this file
base_dir = os.path.abspath(os.path.split(__file__)[0])
def init(parameters):
parameters["base_dir"] = base_dir
def one_loop(args):
global parameters
import sys
sys.path.append(parameters["base_dir"])
from simulation_loop import run
return run(args, parameters)
if __name__ == "__main__":
rrtools.run(
one_loop,
generate,
func_init=init,
base_dir=base_dir,
results_dir="data/",
description="Simulation for OverIVA",
)
# we don't do underdetermined
if n_targets > n_mics:
continue
for rt60 in parameters['rt60_list'].keys():
for sinr in parameters['sinr_list']:
for wav_files in all_wav_files:
# generate the seed for this simulation
seed = int(np.random.randint(2 ** 32, dtype=np.uint32))
# add the new combination to the list
args.append([n_targets, n_mics, rt60, sinr, wav_files, seed])
np.random.set_state(rng_state)
return args
if __name__ == '__main__':
rrtools.run(
one_loop,
generate_arguments,
func_init=init,
base_dir=base_dir,
results_dir='data/',
description='Simulation for Multi-modal BSS with blinkies (ICASSP 2019)',
)