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Fixes the wording about StopIteration.

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PiperOrigin-RevId: 168034451
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Jianwei Xie 2017-09-08 13:01:25 -07:00 committed by TensorFlower Gardener
parent fb5588002b
commit 82cc6529f4
1 changed files with 10 additions and 10 deletions
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tensorflow/python/estimator/estimator.py
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@ -211,17 +211,17 @@ class Estimator(object):
hooks: List of `SessionRunHook` subclass instances. Used for callbacks hooks: List of `SessionRunHook` subclass instances. Used for callbacks
inside the training loop. inside the training loop.
steps: Number of steps for which to train model. If `None`, train forever steps: Number of steps for which to train model. If `None`, train forever
or train until input_fn generates the `OutOfRange` or `StopIteration` or train until input_fn generates the `OutOfRange` error or
error. 'steps' works incrementally. If you call two times `StopIteration` exception. 'steps' works incrementally. If you call two
train(steps=10) then training occurs in total 20 steps. If `OutOfRange` times train(steps=10) then training occurs in total 20 steps. If
or `StopIteration` error occurs in the middle, training stops before 20 `OutOfRange` or `StopIteration` occurs in the middle, training stops
steps. If you don't want to have incremental behavior please set before 20 steps. If you don't want to have incremental behavior please
`max_steps` instead. If set, `max_steps` must be `None`. set `max_steps` instead. If set, `max_steps` must be `None`.
max_steps: Number of total steps for which to train model. If `None`, max_steps: Number of total steps for which to train model. If `None`,
train forever or train until input_fn generates the `OutOfRange` or train forever or train until input_fn generates the `OutOfRange` error
`StopIteration` error. If set, `steps` must be `None`. If `OutOfRange` or `StopIteration` exception. If set, `steps` must be `None`. If
or `StopIteration` error occurs in the middle, training stops before `OutOfRange` or `StopIteration` occurs in the middle, training stops
`max_steps` steps. before `max_steps` steps.
Two calls to `train(steps=100)` means 200 training Two calls to `train(steps=100)` means 200 training
iterations. On the other hand, two calls to `train(max_steps=100)` means iterations. On the other hand, two calls to `train(max_steps=100)` means