# tf.compat.v1.train.checkpoint_exists

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.14.0/tensorflow/python/checkpoint/checkpoint_management.py#L390-L409) |

Checks whether a V1 or V2 checkpoint exists with the specified prefix. (deprecated)

    tf.compat.v1.train.checkpoint_exists(
        checkpoint_prefix
    )

> [!WARNING]
> **Deprecated:** THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use standard file APIs to check for files with this prefix.

This is the recommended way to check if a checkpoint exists, since it takes
into account the naming difference between V1 and V2 formats.

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| ## Args ||
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| `checkpoint_prefix` | the prefix of a V1 or V2 checkpoint, with V2 taking priority. Typically the result of `Saver.save()` or that of [`tf.train.latest_checkpoint()`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/train/latest_checkpoint), regardless of sharded/non-sharded or V1/V2. |

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| ## Returns ||
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| A bool, true if a checkpoint referred to by `checkpoint_prefix` exists. ||

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