# tf.train.latest_checkpoint

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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#L326-L363) |

Finds the filename of latest saved checkpoint file.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.train.latest_checkpoint(
        checkpoint_dir, latest_filename=None
    )

Gets the checkpoint state given the provided checkpoint_dir and looks for a
corresponding TensorFlow 2 (preferred) or TensorFlow 1.x checkpoint path.
The latest_filename argument is only applicable if you are saving checkpoint
using [`v1.train.Saver.save`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/compat/v1/train/Saver#save)

See the [Training Checkpoints
Guide](https://www.tensorflow.org/guide/checkpoint) for more details and
examples.\`

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| ## Args ||
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| `checkpoint_dir` | Directory where the variables were saved. |
| `latest_filename` | Optional name for the protocol buffer file that contains the list of most recent checkpoint filenames. See the corresponding argument to [`v1.train.Saver.save`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/compat/v1/train/Saver#save). |

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| ## Returns ||
|---|---|
| The full path to the latest checkpoint or `None` if no checkpoint was found. ||

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