def test_new_dispatch(self):
server = MriServer("http://www.httpbin.com", "testuser", "testpass")
task = {"title": "TEST", "id": "000112233"}
dispatch = server.new_dispatch(task)
test_against = MriServerDispatch(task, "http://www.httpbin.com",
"testuser", "testpass")
self.assertEqual(dispatch, test_against)
def main():
# Create the mriServer
server = MriServer(SERVER_ADDR, USER, PASS)
# The task needs a title and id at minimum. The id MUST be unique or your plots will be messed up.
# The title doesn't have to be unique but you'll want it to be anyway.
task = {'title': 'Example Bindings', 'id': '001'}
# Dispatch is setup with information about the server and the current task
dispatch = server.new_dispatch(task)
# Now we have to call `setup_display` to create the report and visualization on the server.
# We specify which value is the x-axis, and all of the attributes that we'll send along (including
# the x-axis variable). Without this the server won't know how to properly display to the user, since
# different training schemes use different x-axis values (ie iteration, epoch, etc) and different
# y-axis values (ie training loss, test loss, training accuracy, etc)
dispatch.setup_display('iteration', ['iteration', 'loss', 'accuracy'])
for i in range(1, 10):
# Training events specified via dictionary
training_data = {'iteration': i, 'loss': -i, 'accuracy': i/10.0}
# We must also specify which value is the time axis (ie iteration, epoch, etc)
event = TrainingEvent(training_data, 'iteration')
# Call upon the dispatch to send the event to the server
print('Sending event {} to server'.format(event))
dispatch.train_event(event)
# Wait a little until next time
time.sleep(1)
def test_new_dispatch(self):
server = MriServer("http://www.httpbin.com", "testuser", "testpass")
task = {"title": "TEST", "id": "000112233"}
dispatch = server.new_dispatch(task)
test_against = MriServerDispatch(task, "http://www.httpbin.com", "testuser", "testpass")
self.assertEqual(dispatch, test_against)
