tf.contrib.framework.variable

Gets an existing variable with these parameters or creates a new one.

tf.contrib.framework.variable(
    name, shape=None, dtype=None, initializer=None, regularizer=None,
    trainable=True, collections=None, caching_device=None, device=None,
    partitioner=None, custom_getter=None, use_resource=None,
    synchronization=tf.VariableSynchronization.AUTO,
    aggregation=tf.VariableAggregation.NONE
)

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 to DT_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	If True also add the variable to the graph collection GraphKeys.TRAINABLE_VARIABLES (see tf.Variable).
collections	A list of collection names to which the Variable will be added. If None it would default to tf.GraphKeys.GLOBAL_VARIABLES.
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.
partitioner	Optional callable that accepts a fully defined TensorShape and dtype of the Variable to be created, and returns a list of partitions for each axis (currently only one axis can be partitioned).
custom_getter	Callable that allows overwriting the internal get_variable method and has to have the same signature.
use_resource	If True use a ResourceVariable instead of a Variable.
synchronization	Indicates when a distributed a variable will be aggregated. Accepted values are constants defined in the class tf.VariableSynchronization. By default the synchronization is set to AUTO and the current DistributionStrategy chooses when to synchronize.
aggregation	Indicates how a distributed variable will be aggregated. Accepted values are constants defined in the class tf.VariableAggregation.

Returns
The created or existing variable.