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  /external/tensorflow/tensorflow/python/training/
supervisor_test.py 15 """Tests for supervisor.py."""
51 from tensorflow.python.training import supervisor
99 sv = supervisor.Supervisor(logdir=logdir)
110 sv = supervisor.Supervisor(logdir=logdir)
114 # Supervisor has been stopped.
121 sv = supervisor.Supervisor(logdir=logdir)
131 # Supervisor has been stopped
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supervisor.py 43 @tf_export("train.Supervisor")
44 class Supervisor(object):
50 The Supervisor is a small wrapper around a `Coordinator`, a `Saver`,
59 # Create a Supervisor that will checkpoint the model in '/tmp/mydir'.
60 sv = Supervisor(logdir='/tmp/mydir')
61 # Get a TensorFlow session managed by the supervisor.
75 The supervisor is notified of any exception raised by one of the services.
104 # Create a Supervisor that uses log directory on a shared file system.
106 sv = Supervisor(logdir='/shared_directory/...', is_chief=is_chief)
114 In the *chief* task, the `Supervisor` works exactly as in the first exampl
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basic_loops_test.py 28 from tensorflow.python.training import supervisor
42 sv = supervisor.Supervisor(logdir=logdir)
60 sv = supervisor.Supervisor(logdir=logdir)
76 sv = supervisor.Supervisor(logdir=logdir)
training.py 56 @@Supervisor
183 from tensorflow.python.training.supervisor import Supervisor
  /external/arm-neon-tests/
Init.s 39 ; Initialise Supervisor Mode Stack
  /external/tensorflow/tensorflow/contrib/slim/python/slim/data/
parallel_reader_test.py 33 from tensorflow.python.training import supervisor
60 sv = supervisor.Supervisor(logdir=self.get_temp_dir())
100 sv = supervisor.Supervisor(logdir=self.get_temp_dir())
171 sv = supervisor.Supervisor(logdir=self.get_temp_dir())
  /external/tensorflow/tensorflow/tools/dist_test/python/
mnist_replica.py 195 sv = tf.train.Supervisor(
204 sv = tf.train.Supervisor(
  /external/tensorflow/tensorflow/contrib/slim/python/slim/
learning.py 22 tf.train.Supervisor and its managed_session in its implementation to ensure the
270 from tensorflow.python.training import supervisor
557 """Runs a training loop using a TensorFlow supervisor.
575 graph: The graph to pass to the supervisor. If no graph is supplied the
620 a grace period when stopping the supervisor, instead of raising a
696 summary_writer = supervisor.Supervisor.USE_DEFAULT
699 # Need to create these BEFORE the supervisor finalizes the graph:
721 sv = supervisor.Supervisor(
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  /external/tensorflow/tensorflow/contrib/learn/python/learn/
graph_actions.py 50 from tensorflow.python.training import supervisor as tf_supervisor
148 counting training steps. This function uses `Supervisor` to initialize the
164 one is extracted from the graph using the same logic as in `Supervisor`.
165 init_op: An op that initializes the graph. If `None`, use `Supervisor`'s
169 init_fn: Optional callable passed to Supervisor to initialize the model.
172 supervisor_is_chief: Whether the current process is the chief supervisor in
284 # TODO(ipolosukhin): Replace all functionality of Supervisor
296 supervisor = tf_supervisor.Supervisor(
298 init_op=init_op or tf_supervisor.Supervisor.USE_DEFAULT
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  /external/tensorflow/tensorflow/core/profiler/g3doc/
command_line.md 26 data structure of the model. For example, graph.pbtxt written by tf.Supervisor

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