|TensorFlow 1 version||View source on GitHub|
Create an op that groups multiple operations.
Compat aliases for migration
See Migration guide for more details.
tf.group( *inputs, **kwargs )
Used in the notebooks
|Used in the guide|
When this op finishes, all ops in
inputs have finished. This op has no
When operating in a v1-style graph context, ops are not executed in the same
order as specified in the code; TensorFlow will attempt to execute ops in
parallel or in an order convienient to the result it is computing.
allows you to request that one or more results finish before execution
tf.group creates a single op (of type
NoOp), and then adds appropriate
control dependencies. Thus,
c = tf.group(a, b) will compute the same graph
with tf.control_dependencies([a, b]): c = tf.no_op()
||Zero or more tensors to group.|
||A name for this operation (optional).|
|An Operation that executes all its inputs.|
||If an unknown keyword argument is provided.|