|---| | [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.21.0/tensorflow/python/saved_model/loader_impl.py#L278-L345) | Loads the model from a SavedModel as specified by tags. (deprecated) #### View aliases **Compat aliases for migration** See [Migration guide](https://www.tensorflow.org/guide/migrate) for more details. [`tf.compat.v1.saved_model.loader.load`](https://www.tensorflow.org/api_docs/python/tf/compat/v1/saved_model/load)
tf.compat.v1.saved_model.load( sess, tags, export_dir, import_scope=None, **saver_kwargs )
## Migrate to TF2
> [!CAUTION] > **Caution:** This API was designed for TensorFlow v1. Continue reading for details on how to migrate from this API to a native TensorFlow v2 equivalent. See the [TensorFlow v1 to TensorFlow v2 migration guide](https://www.tensorflow.org/guide/migrate) for instructions on how to migrate the rest of your code. [`tf.compat.v1.saved_model.load`](https://www.tensorflow.org/api_docs/python/tf/compat/v1/saved_model/load) or [`tf.compat.v1.saved_model.loader.load`](https://www.tensorflow.org/api_docs/python/tf/compat/v1/saved_model/load) is not compatible with eager execution. Please use [`tf.saved_model.load`](https://www.tensorflow.org/api_docs/python/tf/saved_model/load) instead to load your model. You can refer to the [SavedModel guide](https://www.tensorflow.org/guide/saved_model) for more information as well as "Importing SavedModels from TensorFlow 1.x" in the [`tf.saved_model.load`](https://www.tensorflow.org/api_docs/python/tf/saved_model/load) docstring. #### How to Map Arguments | TF1 Arg Name | TF2 Arg Name | Note | |---|---|---| | `sess` | Not supported | - | | `tags` | `tags` | - | | `export_dir` | `export_dir` | - | | `import_scope` | Not supported | Name scopes are not needed. By default, variables are associated with the loaded object and function names are deduped. | | `saver_kwargs` | Not supported | - | #### Before \& After Usage Example Before: with tf.compat.v1.Session(graph=tf.Graph()) as sess: tf.compat.v1.saved_model.loader.load(sess, ["foo-tag"], export_dir) After: model = tf.saved_model.load(export_dir, tags=["foo-tag"])

## Description ### Used in the notebooks | Used in the guide | |---| | - [Migrate the SavedModel workflow](https://www.tensorflow.org/guide/migrate/saved_model) | > [!WARNING] > **Deprecated:** THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use [`tf.saved_model.load`](https://www.tensorflow.org/api_docs/python/tf/saved_model/load) instead.


| ## Args || |---|---| | `sess` | The TensorFlow session to restore the variables. | | `tags` | Set of string tags to identify the required MetaGraphDef. These should correspond to the tags used when saving the variables using the SavedModel `save()` API. | | `export_dir` | Directory in which the SavedModel protocol buffer and variables to be loaded are located. | | `import_scope` | Optional `string` -- if specified, prepend this string followed by '/' to all loaded tensor names. This scope is applied to tensor instances loaded into the passed session, but it is *not* written through to the static `MetaGraphDef` protocol buffer that is returned. | | `**saver_kwargs` | Optional keyword arguments passed through to Saver. |



| ## Returns || |---|---| | The `MetaGraphDef` protocol buffer loaded in the provided session. This can be used to further extract signature-defs, collection-defs, etc. ||



| ## Raises || |---|---| | `RuntimeError` | MetaGraphDef associated with the tags cannot be found. |