parameters: (sess, tags, export_dir, import_scope=None, **saver_kwargs)
return_statement: return loader.load(sess, tags, import_scope, **saver_kwargs)
docstring: Loads the model from a SavedModel as specified by tags.
  
    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.
  
    @compatibility(TF2)
  
    `tf.compat.v1.saved_model.load` or `tf.compat.v1.saved_model.loader.load` is
    not compatible with eager execution. Please use `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"])
    ```
    @end_compatibility
docstring_summary: Loads the model from a SavedModel as specified by tags.
docstring_tokens: Loads the model from a SavedModel as specified by tags .
function: def load(sess, tags, export_dir, import_scope=None, **saver_kwargs):
    """Loads the model from a SavedModel as specified by tags.
  
    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.
  
    @compatibility(TF2)
  
    `tf.compat.v1.saved_model.load` or `tf.compat.v1.saved_model.loader.load` is
    not compatible with eager execution. Please use `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"])
    ```
    @end_compatibility
    """
    loader = SavedModelLoader(export_dir)
    return loader.load(sess, tags, import_scope, **saver_kwargs)
function_tokens: def load ( sess , tags , export_dir , import_scope = None , * * saver_kwargs ) : loader = SavedModelLoader ( export_dir ) return loader . load ( sess , tags , import_scope , * * saver_kwargs )