def __init__(self, is_remote):
self.url = US.get_url_job(is_remote)
try:
id_job = int(sys.argv[1]) #1606147964029
except:
exit("ERROR: Please insert a valid numeric job id.")
username = "******"
is_remote = False
try:
is_remote = (sys.argv[2].lower() == 'true')
print("REMOTE HOST")
except:
print("LOCAL HOST")
# LOAD JOB
url_job = US.get_url_job(is_remote)
job_json = load_job(url_job, id_job)
# LOAD MODEL TOPOLOGY
url_topology = US.get_url_topology(job_json, is_remote)
model_topology_key = job_json["topology"]["topology"]
mymodel = load_model_topology_http(url_topology, model_topology_key, id_job,
username)
mymodel.summary()
### LOADING DATA
X_train, Y_train, X_test, Y_test = loader(job_json)
###################
### LOAD MODEL OLD WEIGHTS
'''
from src.api.load_job import load_job
from src.api.delete_job import delete_job
from src.helper import url_solver as US
from src.nn.topology import create_topology_mnist_28_28_1
id_job = None
try:
id_job = int(sys.argv[1]) #1234567890
print(id_job)
except:
exit("ERROR: Please insert a valid numeric job id.")
username = "******"
# LOAD JOB
url_job = US.get_url_job()
job_json = load_job(url_job, id_job)
model = create_topology_mnist_28_28_1()
print(model.layers)
print(type(model.layers))
print(model.layers[0].name)
names = [weight.name for layer in model.layers for weight in layer.weights]
weights = model.get_weights()
names = list(map(lambda x: x[0:x.index(':')], names))
url_delete_job = US.get_url_delete_job()
delete_job(url_delete_job, id_job)