> For the complete documentation index, see [llms.txt](https://huang-jason.gitbook.io/deep/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://huang-jason.gitbook.io/deep/save-and-restore.md).

# Save & restore

<https://medium.com/@jsflo.dev/saving-and-loading-a-tensorflow-model-using-the-savedmodel-api-17645576527>

```python
assets/
assets.extra/
variables/ #  learned weights
    variables.data-*****-of-*****
    variables.index
saved_model.pb # graph structure
```

## tf.train.Saver

```python
# construct graph!
...
# add save/restore ops
saver = tf.train.Saver()
...
# save after training
save_path = saver.save(sess, "/tmp/model.ckpt")
```

you need to reconstruct graph to restore.

Use case = splitting training into separate sessions and want a quick way to resume training.

## tf.saved\_model.simple\_save

```python
simple_save(sess,
            export_dir,
            inputs={"myInput": x},
            outputs={"myOutput": y})
```


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