def load_module_spec(path):
"""Loads a ModuleSpec from a TF Hub service or the filesystem.
Warning: Deprecated. This belongs to the hub.Module API and TF1 Hub format.
For TF2, switch to plain SavedModels and hub.load(); see also hub.resolve().
THIS FUNCTION IS DEPRECATED.
Args:
path: string describing the location of a module. There are several
supported path encoding schemes:
a) A URL like "https://tfhub.dev/the/module/1" referring to tfhub.dev or
another service implementing https://www.tensorflow.org/hub/hosting.
b) A URL like "https://example.com/module.tar.gz" that points to a
compressed tarball directly, as long as that web server ignores
the query parameters added by https://www.tensorflow.org/hub/hosting.
c) Any filesystem location of a module directory (e.g. /module_dir
for a local filesystem). All filesystems implementations provided
by Tensorflow are supported.
d) Private name resolution schemes added by the maintainer of your
local installation of the tensorflow_hub library (usually none).
Returns:
A ModuleSpec.
Raises:
ValueError: on unexpected values in the module spec.
tf.errors.OpError: on file handling exceptions.
"""
path = registry.resolver(path)
return registry.loader(path)
def load_module_spec(path):
"""Loads a ModuleSpec from the filesystem.
Args:
path: string describing the location of a module. There are several
supported path encoding schemes:
a) URL location specifying an archived module
(e.g. http://domain/module.tgz)
b) Any filesystem location of a module directory (e.g. /module_dir
for a local filesystem). All filesystems implementations provided
by Tensorflow are supported.
Returns:
A ModuleSpec.
Raises:
ValueError: on unexpected values in the module spec.
tf.OpError: on file handling exceptions.
"""
path = registry.resolver(path)
return registry.loader(path)
def load_module_spec(path):
"""Loads a ModuleSpec from the filesystem.
Args:
path: string describing the location of a module. There are several
supported path encoding schemes:
a) URL location specifying an archived module
(e.g. http://domain/module.tgz)
b) Any filesystem location of a module directory (e.g. /module_dir
for a local filesystem). All filesystems implementations provided
by Tensorflow are supported.
Returns:
A ModuleSpec.
Raises:
ValueError: on unexpected values in the module spec.
tf.OpError: on file handling exceptions.
"""
path = registry.resolver(path)
return registry.loader(path)
def load_module_spec(path):
"""Loads a ModuleSpec from the filesystem.
DEPRECATION NOTE: This belongs to the hub.Module API and file format for TF1.
For TF2, switch to plain SavedModels and hub.load().
Args:
path: string describing the location of a module. There are several
supported path encoding schemes:
a) URL location specifying an archived module
(e.g. http://domain/module.tgz)
b) Any filesystem location of a module directory (e.g. /module_dir
for a local filesystem). All filesystems implementations provided
by Tensorflow are supported.
Returns:
A ModuleSpec.
Raises:
ValueError: on unexpected values in the module spec.
tf.errors.OpError: on file handling exceptions.
"""
path = registry.resolver(path)
return registry.loader(path)