本文整理汇总了Python中util.log.info方法的典型用法代码示例。如果您正苦于以下问题:Python log.info方法的具体用法?Python log.info怎么用?Python log.info使用的例子?那么, 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util.log
的用法示例。
在下文中一共展示了log.info方法的15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: router
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def router (args):
if len(args) < 2:
log.error('MM:00 ROUTER: ERROR: usage: router arg arg ...')
return
host = args[0]
if host not in bgprouters:
log.error('MM:' + host + ' ERROR: ' + 'ROUTER' + ' ' + host + ' : must be a BGP router')
return
del args[0]
cmd = ''
for arg in args:
cmd += '"' + arg + '" '
log.info('MM:' + host + ' ROUTER: ' + cmd)
r = generic(host, 'ROUTER', 'router ' + cmd + '\n')
if r is not None:
log.debug('MM:' + host + ' ROUTER: output = \n' + r.strip())
# generic command interface to a tnode - send cmd, capture data
# return None id cannot connect or socket error
# return '' if no data
示例2: send
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def send (args):
if len(args) != 4:
log.error('MM:00 SEND: ERROR usage: send source bind_addr dest_addr dest_port')
return
src = args[0]
baddr = args[1]
daddr = args[2]
dport = args[3]
if src not in hosts:
log.error('MM:00 SEND: ERROR unknown src ' + src)
return
rand = str(random.randint(1000000000, 9999999999)) # must be 10 characters
r = generic(src, 'TEST', 'test ' + rand + ' ' + baddr + ' ' + daddr + ' ' + str(dport) + '\n')
if r is None: # connection error
return
log.info('MM:' + src + ' SEND: ' + r.strip())
示例3: test
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def test (args):
if len(args) == 0:
print json.dumps(tests, indent=4, sort_keys=True)
# log.error('MM:00 ERROR: TEST: usage: test test_name ...')
return
for arg in args:
if arg not in tests:
log.error('MM:00 ERROR: TEST: undefined test: ' + arg)
return
for arg in args:
log.info('MM:00 INFO: TEST: ' + arg)
for l in tests[arg]:
parse(l)
# start listeners on one or more hosts, one or more ports
#listener all hosts, all ports
#listener host this host, all ports
#listener host bind port port this host, this bind, these ports
示例4: announce
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def announce (args):
if len(args) < 2:
log.error('MM:XX' + ' ERROR: usage: announce bgp_router network ...')
return
host = args[0]
del args[0]
nets = ''
for arg in args:
nets += ' ' + arg
if host not in bgprouters:
log.error('MM:' + host + ' ERROR: ' + 'ANNOUNCE' + ' ' + host + ' : must be a BGP router')
log.info('MM:' + host + ' ANNOUNCE: ' + nets)
r = generic(host, 'ANNOUNCE', 'announce ' + nets + '\n')
if r is not None and len(r) > 0:
log.info('MM:' + host + ' ANNOUNCE: ' + r.strip())
# withdraw a route
示例5: withdraw
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def withdraw (args):
if len(args) < 2:
log.error('MM:XX' + ' ERROR: usage: withdraw bgp_router network ...')
return
host = args[0]
del args[0]
nets = ''
for arg in args:
nets += ' ' + arg
if host not in bgprouters:
log.error('MM:' + host + ' ERROR: ' + 'WITHDRAW' + ' ' + host + ' : must be a BGP router')
log.info('MM:' + host + ' WITHDRAW: ' + nets)
r = generic(host, 'WITHDRAW', 'withdraw ' + nets + '\n')
if r is not None and len(r) > 0:
log.info('MM:' + host + ' WITHDRAW: ' + r.strip())
# display bgp routes
示例6: log_step_message
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def log_step_message(self, step, accuracy, d_loss, g_loss,
s_loss, step_time, is_train=True):
if step_time == 0: step_time = 0.001
log_fn = (is_train and log.info or log.infov)
log_fn((" [{split_mode:5s} step {step:4d}] " +
"Supervised loss: {s_loss:.5f} " +
"D loss: {d_loss:.5f} " +
"G loss: {g_loss:.5f} " +
"Accuracy: {accuracy:.5f} "
"({sec_per_batch:.3f} sec/batch, {instance_per_sec:.3f} instances/sec) "
).format(split_mode=(is_train and 'train' or 'val'),
step = step,
d_loss = d_loss,
g_loss = g_loss,
s_loss = s_loss,
accuracy = accuracy,
sec_per_batch = step_time,
instance_per_sec = self.batch_size / step_time
)
)
示例7: __call__
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def __call__(self, input):
with tf.variable_scope(self.name, reuse=self._reuse):
if not self._reuse:
print('\033[93m'+self.name+'\033[0m')
_ = input
num_channel = [32, 64, 128, 256, 256, 512]
num_layer = np.ceil(np.log2(min(_.shape.as_list()[1:3]))).astype(np.int)
for i in range(num_layer):
ch = num_channel[i] if i < len(num_channel) else 512
_ = conv2d(_, ch, self._is_train, info=not self._reuse,
norm=self._norm_type, name='conv{}'.format(i+1))
_ = conv2d(_, int(num_channel[i]/4), self._is_train, k=1, s=1,
info=not self._reuse, norm='None', name='conv{}'.format(i+2))
_ = conv2d(_, self._num_class+1, self._is_train, k=1, s=1, info=not self._reuse,
activation_fn=None, norm='None',
name='conv{}'.format(i+3))
_ = tf.squeeze(_)
if not self._reuse:
log.info('discriminator output {}'.format(_.shape.as_list()))
self._reuse = True
self.var_list = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, self.name)
return tf.nn.sigmoid(_), _
示例8: log_step_message
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def log_step_message(self, step, loss, loss_g_update,
loss_z_update, step_time, is_train=True):
if step_time == 0:
step_time = 0.001
log_fn = (is_train and log.info or log.infov)
log_fn((" [{split_mode:5s} step {step:4d}] " +
"Loss: {loss:.5f} " +
"G update: {loss_g_update:.5f} " +
"Z update: {loss_z_update:.5f} " +
"({sec_per_batch:.3f} sec/batch, {instance_per_sec:.3f} instances/sec) "
).format(split_mode=(is_train and 'train' or 'val'),
step=step,
loss=loss,
loss_z_update=loss_z_update,
loss_g_update=loss_g_update,
sec_per_batch=step_time,
instance_per_sec=self.batch_size / step_time
)
)
示例9: __init__
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def __init__(self, ids, name='default',
max_examples=None, is_train=True):
self._ids = list(ids)
self.name = name
self.is_train = is_train
if max_examples is not None:
self._ids = self._ids[:max_examples]
filename = 'data.hdf5'
file = os.path.join(__PATH__, filename)
log.info("Reading %s ...", file)
try:
self.data = h5py.File(file, 'r+')
except:
raise IOError('Dataset not found. Please make sure the dataset was downloaded.')
log.info("Reading Done: %s", file)
示例10: log_step_message
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def log_step_message(self, step, loss, loss_pair,
loss_unpair, step_time, is_train=True):
if step_time == 0:
step_time = 0.001
log_fn = (is_train and log.info or log.infov)
log_fn((" [{split_mode:5s} step {step:4d}] " +
"Loss: {loss:.5f} " +
"Loss pair: {loss_pair:.5f} " +
"Loss unpair: {loss_unpair:.5f} " +
"({sec_per_batch:.3f} sec/batch, {instance_per_sec:.3f} instances/sec) "
).format(split_mode=(is_train and 'train' or 'val'),
step=step,
loss=loss,
loss_pair=loss_pair,
loss_unpair=loss_unpair,
sec_per_batch=step_time,
instance_per_sec=self.batch_size / step_time
)
)
示例11: __init__
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def __init__(self, ids, name='default',
max_examples=None, is_train=True):
self._ids = list(ids)
self.name = name
self.is_train = is_train
if max_examples is not None:
self._ids = self._ids[:max_examples]
file = os.path.join(__IMAGENET_IMG_PATH__, self._ids[0])
try:
imread(file)
except:
raise IOError('Dataset not found. Please make sure the dataset was downloaded.')
log.info("Reading Done: %s", file)
示例12: log_step_message
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def log_step_message(self, step, loss, accuracy, step_time, is_train=True):
if step_time == 0:
step_time = 0.001
log_fn = (is_train and log.info or log.infov)
log_fn((" [{split_mode:5s} step {step:4d}] " +
"Loss: {loss:.5f} " +
"Accuracy: {accuracy:.5f} " +
"({sec_per_batch:.3f} sec/batch, {instance_per_sec:.3f} instances/sec) "
).format(split_mode=(is_train and 'train' or 'val'),
step=step,
loss=loss,
accuracy=accuracy,
sec_per_batch=step_time,
instance_per_sec=self.batch_size / step_time
)
)
示例13: log_step_message
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def log_step_message(self, step, p_loss, f_loss, loss, step_time, is_train=True):
if step_time == 0: step_time = 0.001
log_fn = (is_train and log.info or log.infov)
log_fn((" [{split_mode:5s} step {step:4d}] " +
"Loss: {loss:.5f} " +
"Pixel loss: {p_loss:.5f} " +
"Flow loss: {f_loss:.5f} " +
"({sec_per_batch:.3f} sec/batch, {instance_per_sec:.3f} instances/sec) "
).format(split_mode=(is_train and 'train' or 'val'),
step=step,
loss=loss,
p_loss=p_loss,
f_loss=f_loss,
sec_per_batch=step_time,
instance_per_sec=self.batch_size / step_time
)
)
示例14: __init__
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def __init__(self, ids, n, scene_class, name='default',
max_examples=None, is_train=True, bound=10):
self._ids = list(ids)
self.name = name
self.is_train = is_train
self.n = n
self.bound = bound
if max_examples is not None:
self._ids = self._ids[:max_examples]
filename = 'data_{}.hdf5'.format(scene_class)
file = osp.join('./datasets/{}'.format(scene_class), filename)
log.info("Reading %s ...", file)
self.data = h5py.File(file, 'r')
log.info("Reading Done: %s", file)
示例15: __init__
# 需要导入模块: from util import log [as 别名]
# 或者: from util.log import info [as 别名]
def __init__(self, ids, n, object_class, name='default',
max_examples=None, is_train=True):
self._ids = list(ids)
self.name = name
self.is_train = is_train
self.n = n
self.bound = int(360/ang_interval+1)
if max_examples is not None:
self._ids = self._ids[:max_examples]
filename = 'data_{}.hdf5'.format(object_class)
file = osp.join(__PATH__, filename)
log.info("Reading %s ...", file)
self.data = h5py.File(file, 'r')
log.info("Reading Done: %s", file)