tf.contrib.framework.model_variable(*args, **kwargs)
Gets an existing model variable with these parameters or creates a new one.
Args:
-
name
: the name of the new or existing variable. -
shape
: shape of the new or existing variable. -
dtype
: type of the new or existing variable (defaults toDT_FLOAT
). -
initializer
: initializer for the variable if one is created. -
regularizer
: a (Tensor -> Tensor or None) function; the result of applying it on a newly created variable will be added to the collection GraphKeys.REGULARIZATION_LOSSES and can be used for regularization. -
trainable
: IfTrue
also add the variable to the graph collectionGraphKeys.TRAINABLE_VARIABLES
(see tf.Variable). -
collections
: A list of collection names to which the Variable will be added. Note that the variable is always also added to theGraphKeys.VARIABLES
andGraphKeys.MODEL_VARIABLES
collections. -
caching_device
: Optional device string or function describing where the Variable should be cached for reading. Defaults to the Variable's device. -
device
: Optional device to place the variable. It can be an string or a function that is called to get the device for the variable.
Returns:
The created or existing variable.
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