def main():
print "Content-type: text/html\n\n"
cgitb.enable()
# process input
form = cgi.FieldStorage()
xml_feedback = form.getfirst('xmlFeedback', 'None')
token_number = form.getfirst('token', 'None')
# open database
session = get_local_db_session()
try:
token = session.query(Token).filter_by(number=token_number).one()
except NoResultFound:
print "KO"
return
# insert the retrived dialogueID into the xmlFeedback
xml_feedback = xml_feedback.replace(
"<dialogueId></dialogueId>",
"<dialogueId>" + token.submission.dialogue_id + "</dialogueId>")
worker_id = get_worker_id(xml_feedback)
phone = token.submission.dialogue_id.rsplit("-", 1)[1]
try:
curr_worker = session.query(Worker).filter_by(
worker_id=worker_id).one()
except NoResultFound:
curr_worker = Worker(worker_id=worker_id, phone_number=phone)
session.add(curr_worker)
# save submitted data
submission = token.submission
submission.data = xml_feedback
submission.worker = curr_worker
submission.timestamp = datetime.datetime.now()
# free token
token.submission = None
session.commit()
def register_worker(platform_info, environment):
return db.register_worker(Worker(platform_info, environment))
import torch as th
from utils import SharedAdam
from model import Worker, Net
import gym
import torch.multiprocessing as mp
env = gym.make('CartPole-v0')
n_action = env.action_space.n
n_state = env.observation_space.shape[0]
global_net = Net(n_state, n_action)
global_net.share_memory()
optA = SharedAdam(global_net.policy.parameters(), lr=1e-4, betas=(0.92, 0.999))
optC = SharedAdam(global_net.v.parameters(), lr=1e-4, betas=(0.92, 0.999))
workers = [Worker(global_net, optA, optC, str(i)) for i in range(8)]
[w.start() for w in workers]
[w.join() for w in workers]
