# tf.moving_average_variables

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/ops/variables.py#L3173-L3192) |

Returns all variables that maintain their moving averages.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.moving_average_variables`](https://www.tensorflow.org/api_docs/python/tf/compat/v1/moving_average_variables)

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    tf.moving_average_variables(
        scope=None
    )

If an `ExponentialMovingAverage` object is created and the `apply()`
method is called on a list of variables, these variables will
be added to the [`GraphKeys.MOVING_AVERAGE_VARIABLES`](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/GraphKeys#MOVING_AVERAGE_VARIABLES) collection.
This convenience function returns the contents of that collection.

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| ## Args ||
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| `scope` | (Optional.) A string. If supplied, the resulting list is filtered to include only items whose `name` attribute matches `scope` using `re.match`. Items without a `name` attribute are never returned if a scope is supplied. The choice of `re.match` means that a `scope` without special tokens filters by prefix. |

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| ## Returns ||
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| A list of Variable objects. ||

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