tf.compat.v1.saved_model.is_valid

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

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Compat aliases for migration

tf.compat.v1.saved_model.loader.load

tf.compat.v1.saved_model.load(
    sess, tags, export_dir, import_scope=None, **saver_kwargs
)

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.

TensorFlow

tf

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tf.compat / v1 / v1.saved_model.is_valid_signature

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Args

Returns

Raises