from clustertools import ParameterSet, ConstrainedParameterSet, Experiment, set_stdout_logging, CTParser
from cli_computation import CliComputationFactory
from e2e_classifier_train_maxzoom import main
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
if __name__ == "__main__":
set_stdout_logging()
# Define the parameter set: the domain each variable can take
environment, namespace = env_parser().parse()
env_params = dict(namespace._get_kwargs())
data_path = "/scratch/users/rmormont/tissuenet"
env = {"image_path": os.path.join(data_path, "patches"),
"metadata_path": os.path.join(data_path, "metadata"),
"model_path": os.path.join(data_path, "models"),
"device": namespace.device,
"n_jobs": namespace.n_jobs
}
os.makedirs(env["image_path"], exist_ok=True)
os.makedirs(env["metadata_path"], exist_ok=True)
def test_stdout_logging():
set_stdout_logging()
assert_true(True) # No exception
