def as_scope(scope):
"""Get the proper variable scope.
Given an object that can represent a `tf.VariableScope`,
namely a `str` or a `tf.VariableScope`, performs type checking
and return a proper `tf.VariableScope` object. Such function is
hancy when a function accepts an argument serving as a variable
scope but doesn's know its proper type.
Arguments:
scope: a `str` or a `tf.VariableScope` representing a variable scope.
Returns:
a `tf.VariableScope` instance.
Raises:
ValueError: if `scope` is `None`.
TypeError: if `scope` is neither `str` or `tf.VariableScope`.
Example:
```python
from dket import utils
def do_something(scope):
scope = utils.as_scope(scope or 'DefaultScope')
with tf.variable_scope(scope) as scope:
# do something
pass
"""
if scope is None:
raise ValueError('Cannot create a scope from a None.')
if isinstance(scope, str):
return next(tf.variable_scope(scope).gen) # pylint: disable=I0011,E1101
if isinstance(scope, tf.VariableScope):
return scope
raise TypeError("""`scope` argument can be of type str, """
"""tf.VariableScope, while %s found.""",
(str(type(scope))))```
