本文整理汇总了Python中network.Network.update方法的典型用法代码示例。如果您正苦于以下问题:Python Network.update方法的具体用法?Python Network.update怎么用?Python Network.update使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类network.Network
的用法示例。
在下文中一共展示了Network.update方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: Simulation
# 需要导入模块: from network import Network [as 别名]
# 或者: from network.Network import update [as 别名]
class Simulation(object):
def __init__(self, config, phases, network = None, processes=1):
self.phases = phases
if network is None:
if 'type' in config['network'] and config['network']['type'] == 'som':
logger.info('initializing regular SOM.')
dim = config['network']['dim']
datalength = sum([m['dim'][0] * m['dim'][1] for m in config['modalities']])
self.network = SOM(dimensions = dim, datalength = datalength)
else:
logger.info('initializing som variant.')
self.network = Network(config)
else:
self.network = network
self.processes = processes
def run(self):
for phase in self.phases:
logger.info('Starting phase: %s', phase.name)
phase.start()
if phase.train:
for step,stimulus in enumerate(phase.stimulusGenerator()):
sigma = phase.interactionWidth(step)
s = phase.updateStrength(step)
logger.debug('Phase: %s, Step: %d. Sigma: %f, Strength: %f', phase.name, step, sigma, s)
if not logger.isEnabledFor(logging.DEBUG) and step % 100 == 0:
logger.info('Phase: %s, Step: %d. Sigma: %f, Strength: %f', phase.name, step, sigma, s)
activity = self.network.update(stimulus['stimulus'], sigma, s)
self.network.net_training_id = time.time()
phase.evaluate(self.network, stimulus['truth'], stimulus['stimulus'], activity)
else:
pid = (threading.current_thread().ident,time.time())
if self.processes is not None:
logger.info("Using %d processes.", self.processes)
else:
logger.info("Using as many processes as deemed appropriate by Python.")
pools[pid] = Pool(self.processes)
p = pools[pid]
def repeater():
for _step, stimulus in enumerate(phase.stimulusGenerator()):
yield pid, self.network, _step, stimulus
for step, stimulus, activity in p.imap(_doStep, repeater(), chunksize=100):
if step % 100 == 0:
logger.info('Phase: %s, Step: %d', phase.name, step)
phase.evaluate(self.network, stimulus['truth'], stimulus['stimulus'], activity)
pools[pid] = None
phase.finish()
示例2: Game
# 需要导入模块: from network import Network [as 别名]
# 或者: from network.Network import update [as 别名]
class Game():
def __init__(self):
pygame.init()
# network
self.network = Network()
self.network.connect()
self.network.login(username)
netThread = threading.Thread(target=self.update_network)
netThread.start()
self.screen = pygame.display.set_mode((1024, 768), 0, 32)
self.load()
def load(self):
self.background = pygame.image.load(background_image_filename).convert()
self.image = pygame.image.load(sprite_image_filename).convert_alpha()
self.update()
def update(self):
global pos
while True:
for event in pygame.event.get():
if event.type == QUIT:
pygame.quit()
exit()
if event.type == MOUSEBUTTONDOWN:
pos[0] += 5
self.draw()
def draw(self):
self.screen.blit(self.background, (0,0))
# network data draw
if network_received is not None:
for player in network_received:
sp = Sprite(self, sprite_image_filename)
sp.image = self.image
sp.position = Vector2(player['pos'][0], player['pos'][1])
sp.draw()
pygame.display.update()
def update_network(self):
global network_received
while True:
data = {'action': 'update', 'id': username, 'pos': pos}
network_received = json.loads(self.network.update(json.dumps(data)))
time.sleep(0.05)
示例3: int
# 需要导入模块: from network import Network [as 别名]
# 或者: from network.Network import update [as 别名]
if s == 0:
return v
else:
return v/s
dt = 0.0001
totalTime = 0.3
numIterations = int(totalTime/dt)
m = 32
n = 256
network = Network(m, n)
voltage = np.zeros((n, numIterations))
for t in range(numIterations):
for i in range(n):
voltage[i, t] = network.S[i].voltage
network.update(dt)
#plt.plot(voltage[0], 'red')
#plt.plot(voltage[1], 'green')
#plt.plot(voltage[2], 'blue')
#plt.show()
plt.plot(normalize(network.X))
S = np.zeros(n)
for i in range(n):
S[i] = network.S[i].spikeRate
print("Neuron firing rates:")
print(S)
X2 = np.dot(network.A, S)