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Update generated Python Op docs.

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Change: 144726940
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A. Unique TensorFlower 2017-01-17 10:38:41 -08:00 committed by TensorFlower Gardener
parent e9602d2752
commit 18bbff2725
2 changed files with 14 additions and 6 deletions
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10
tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.train.MonitoredTrainingSession.md
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@ -1,4 +1,4 @@
### `tf.train.MonitoredTrainingSession(master='', is_chief=True, checkpoint_dir=None, scaffold=None, hooks=None, chief_only_hooks=None, save_checkpoint_secs=600, save_summaries_steps=100, config=None)` {#MonitoredTrainingSession} ### `tf.train.MonitoredTrainingSession(master='', is_chief=True, checkpoint_dir=None, scaffold=None, hooks=None, chief_only_hooks=None, save_checkpoint_secs=600, save_summaries_steps=100, save_summaries_secs=None, config=None)` {#MonitoredTrainingSession}
Creates a `MonitoredSession` for training. Creates a `MonitoredSession` for training.
@ -26,8 +26,12 @@ inialize/restore.
using a default checkpoint saver. If `save_checkpoint_secs` is set to using a default checkpoint saver. If `save_checkpoint_secs` is set to
`None`, then the default checkpoint saver isn't used. `None`, then the default checkpoint saver isn't used.
* <b>`save_summaries_steps`</b>: The frequency, in number of global steps, that the * <b>`save_summaries_steps`</b>: The frequency, in number of global steps, that the
summaries are written to disk using a default summary saver. If summaries are written to disk using a default summary saver. If both
`save_summaries_steps` is set to `None`, then the default summary saver `save_summaries_steps` and `save_summaries_secs` are set to `None`, then
the default summary saver isn't used.
* <b>`save_summaries_secs`</b>: The frequency, in secs, that the summaries are written
to disk using a default summary saver. If both `save_summaries_steps` and
`save_summaries_secs` are set to `None`, then the default summary saver
isn't used. isn't used.
* <b>`config`</b>: an instance of `tf.ConfigProto` proto used to configure the session. * <b>`config`</b>: an instance of `tf.ConfigProto` proto used to configure the session.
It's the `config` argument of constructor of `tf.Session`. It's the `config` argument of constructor of `tf.Session`.

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tensorflow/g3doc/api_docs/python/train.md
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@ -3531,7 +3531,7 @@ with tf.device(tf.train.replica_device_setter(cluster=cluster_spec)):
- - - - - -
### `tf.train.MonitoredTrainingSession(master='', is_chief=True, checkpoint_dir=None, scaffold=None, hooks=None, chief_only_hooks=None, save_checkpoint_secs=600, save_summaries_steps=100, config=None)` {#MonitoredTrainingSession} ### `tf.train.MonitoredTrainingSession(master='', is_chief=True, checkpoint_dir=None, scaffold=None, hooks=None, chief_only_hooks=None, save_checkpoint_secs=600, save_summaries_steps=100, save_summaries_secs=None, config=None)` {#MonitoredTrainingSession}
Creates a `MonitoredSession` for training. Creates a `MonitoredSession` for training.
@ -3559,8 +3559,12 @@ inialize/restore.
using a default checkpoint saver. If `save_checkpoint_secs` is set to using a default checkpoint saver. If `save_checkpoint_secs` is set to
`None`, then the default checkpoint saver isn't used. `None`, then the default checkpoint saver isn't used.
* <b>`save_summaries_steps`</b>: The frequency, in number of global steps, that the * <b>`save_summaries_steps`</b>: The frequency, in number of global steps, that the
summaries are written to disk using a default summary saver. If summaries are written to disk using a default summary saver. If both
`save_summaries_steps` is set to `None`, then the default summary saver `save_summaries_steps` and `save_summaries_secs` are set to `None`, then
the default summary saver isn't used.
* <b>`save_summaries_secs`</b>: The frequency, in secs, that the summaries are written
to disk using a default summary saver. If both `save_summaries_steps` and
`save_summaries_secs` are set to `None`, then the default summary saver
isn't used. isn't used.
* <b>`config`</b>: an instance of `tf.ConfigProto` proto used to configure the session. * <b>`config`</b>: an instance of `tf.ConfigProto` proto used to configure the session.
It's the `config` argument of constructor of `tf.Session`. It's the `config` argument of constructor of `tf.Session`.