tf.contrib.framework.model_variable( name, shape=None, dtype=tf.dtypes.float32, 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 )
Gets an existing model variable with these parameters or creates a new one.
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
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.
Truealso add the variable to the graph collection
collections: A list of collection names to which the Variable will be added. Note that the variable is always also added to the
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
TensorShapeand dtype of the
Variableto 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.
Trueuse 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
AUTOand the current
DistributionStrategychooses when to synchronize. If
synchronizationis set to
trainablemust not be set to
aggregation: Indicates how a distributed variable will be aggregated. Accepted values are constants defined in the class
The created or existing variable.