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Group tensors together.
tf.tuple( tensors, control_inputs=None, name=None )
This creates a tuple of tensors with the same values as the
tensors argument, except that the value of each tensor is only returned after the values of all tensors have been computed.
control_inputs contains additional ops that have to finish before this op finishes, but whose outputs are not returned.
This can be used as a "join" mechanism for parallel computations: all the argument tensors can be computed in parallel, but the values of any tensor returned by
tuple are only available after all the parallel computations are done.
| || A list of |
| ||List of additional ops to finish before returning.|
| || (optional) A name to use as a |
| Same as |
| || If |
| || If |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.