def __init__(self, sess, coord, coordinated_threads_to_join):
"""Create a new `CoordinatedSession`.
Args:
sess: A `tf.Session` object. The wrapped session.
coord: A `tf.train.Coordinator` object.
coordinated_threads_to_join: A list of threads.
"""
WrappedSession.__init__(self, sess)
self._coord = coord
self._coordinated_threads_to_join = coordinated_threads_to_join
def __init__(self, sess, coord, coordinated_threads_to_join):
"""Create a new `CoordinatedSession`.
Args:
sess: A `tf.Session` object. The wrapped session.
coord: A `tf.train.Coordinator` object.
coordinated_threads_to_join: A list of threads.
"""
WrappedSession.__init__(self, sess)
self._coord = coord
self._coordinated_threads_to_join = coordinated_threads_to_join
def __init__(self, sess_factory):
"""Create a new `RecoverableSession`.
The value returned by calling `sess_factory()` will be the
session wrapped by this recoverable session.
Args:
sess_factory: A callable with no arguments that returns a
`tf.Session` when called.
"""
self._factory = sess_factory
WrappedSession.__init__(self, sess_factory())
def __init__(self, sess_factory):
"""Create a new `RecoverableSession`.
The value returned by calling `sess_factory()` will be the
session wrapped by this recoverable session.
Args:
sess_factory: A callable with no arguments that returns a
`tf.Session` when called.
"""
self._factory = sess_factory
WrappedSession.__init__(self, sess_factory())
def __init__(self, sess, monitors, global_step_tensor):
"""Initializes a MonitoredSession object.
Args:
sess: A `tf.Session` or a `WrappedSession` object.
monitors: An iterable of `tf.contrib.learn.BaseMonitor' objects.
global_step_tensor: A 'Tensor' which holds a scalar int value.
"""
WrappedSession.__init__(self, sess)
self._monitors = monitors
self._should_stop = False
self._global_step_tensor = global_step_tensor
self._last_step = None
def __init__(self, sess, monitors, global_step_tensor):
"""Initializes a MonitoredSession object.
Args:
sess: A `tf.Session` or a `WrappedSession` object.
monitors: An iterable of `tf.contrib.learn.BaseMonitor' objects.
global_step_tensor: A 'Tensor' which holds a scalar int value.
"""
WrappedSession.__init__(self, sess)
self._monitors = monitors
self._should_stop = False
self._global_step_tensor = global_step_tensor
self._last_step = None
def __init__(self, sess):
WrappedSession.__init__(self, sess)
self.args_called = {}
def __init__(self, sess):
WrappedSession.__init__(self, sess)
self.args_called = {}
