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Group tensors together.
tf.compat.v1.tuple(
tensors, name=None, control_inputs=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.
See also tf.group
and
tf.control_dependencies
.
Args | |
---|---|
tensors
|
A list of Tensor s or IndexedSlices , some entries can be None .
|
name
|
(optional) A name to use as a name_scope for the operation.
|
control_inputs
|
List of additional ops to finish before returning. |
Returns | |
---|---|
Same as tensors .
|
Raises | |
---|---|
ValueError
|
If tensors does not contain any Tensor or IndexedSlices .
|
TypeError
|
If control_inputs is not a list of Operation or Tensor
objects.
|