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 | |
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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 | |
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The created or existing variable. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/framework/variable