def env_parser():
parser = CTParser()
parser.add_argument("--save_path", dest="save_path")
parser.add_argument("--data_path", "--data_path", dest="data_path")
parser.add_argument("--device", dest="device", default="cuda:0")
parser.add_argument("--n_jobs", dest="n_jobs", default=1, type=int)
_ = Cytomine._add_cytomine_cli_args(parser.parser)
return parser
def env_parser():
parser = CTParser()
parser.add_argument("--device", dest="device", default="cuda:0")
parser.add_argument("--n_jobs", dest="n_jobs", default=1, type=int)
return parser
# We add the `n` parameter with a default value of 0.
def run(self, result, x, z, w, y=2, n=0, **parameters):
import time
from random import randint, normalvariate
result["multiply"] = x * y
# Simulate the effect of the new parameter: in this case we add
# some gaussian noise to the computation of the sum
result["sum"] = z + w + normalvariate(0, n)
time.sleep(randint(1, 10))
if __name__ == "__main__":
set_stdout_logging()
parser = CTParser()
environment, _ = parser.parse()
param_set = ParameterSet()
param_set.add_parameters(x=[1, 2, 3], z=4, w=[5, 6])
# Add the separator, the default value for what was computed previously and
# the new parameter values
# -- Separator (compare this to `004_adding_parameter_values.py`)
param_set.add_separator(n=0) # Notice we pass the default value
# -- new parameter values
param_set.add_parameters(n=[0.01, 0.001])
experiment = Experiment("BasicUsage", param_set, MyComputation)
environment.run(experiment)
"""
Inherit from `Computation` and redefine the `run` method as you which
"""
def run(self, result, x, z, w, y=2, **parameters):
import time
from random import randint
result["multiply"] = x * y
result["sum"] = z + w
time.sleep(randint(1, 10))
if __name__ == "__main__":
set_stdout_logging()
parser = CTParser()
# Add custom argument to parser
parser.add_argument("y", help="The value of the `y` parameter", type=int)
environment, namespace = parser.parse()
param_set = ParameterSet()
# add `y` given in command line to parameter set
param_set.add_parameters(x=[1, 2, 3], z=4, w=[5, 6], y=namespace.y)
# Change the name of the computation according to the value of `y`
# Note that this is mandatory. Otherwise, Clustertools cannot distinguish
# between the two "sub" experiment
exp_name = "BasicUsage_{}".format(namespace.y)
print("This is experiment", exp_name)