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 = {}