tf.saved_model.load

Loads the model from a SavedModel as specified by tags. (deprecated)

View aliases

Main aliases

`tf.saved_model.loader.load`

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.saved_model.load, tf.compat.v1.saved_model.loader.load

tf.saved_model.load(
    sess, tags, export_dir, import_scope=None, **saver_kwargs
)

Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.loader.load or tf.compat.v1.saved_model.load. There will be a new function for importing SavedModels in Tensorflow 2.0.

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.