tf.tuple( tensors, name=None, control_inputs=None )
See the guide: Control Flow > Control Flow Operations
Group tensors together.
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.
tensors: A list of
IndexedSlices, some entries can be
name: (optional) A name to use as a
name_scopefor the operation.
control_inputs: List of additional ops to finish before returning.
tensorsdoes not contain any
control_inputsis not a list of
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Code samples licensed under the Apache 2.0 License.