def dummy_send_gradient_update(self):
message = create_gradient_message(self.net)
p = np.random.rand()
if p < 0.98:
response = "OK"
else:
response = "ERROR"
return response
def send_gradient_update(self):
""" Sends message as HTTP request; blocks until response is received.
Raises URLError if cannot be reach driver.
"""
if self.driver is None:
return self.dummy_send_gradient_update()
message = create_gradient_message(self.net)
try:
request = urllib2.Request(
'http://%s/api/v1/update_model' % self.driver,
headers={'Content-Type': 'application/deepQ'},
data=message)
response = urllib2.urlopen(request).read()
except urllib2.URLError as e:
print e.message
raise
return response
