n tuples of one or more tensors from the given queue.
This operation is not supported by all queues. If a queue does not support DequeueUpTo, then an Unimplemented error is returned.
If the queue is closed and there are more than 0 but less than
n elements remaining, then instead of returning an OutOfRange error like QueueDequeueMany, less than
n elements are returned immediately. If the queue is closed and there are 0 elements left in the queue, then an OutOfRange error is returned just like in QueueDequeueMany. Otherwise the behavior is identical to QueueDequeueMany:
This operation concatenates queue-element component tensors along the 0th dimension to make a single component tensor. All of the components in the dequeued tuple will have size n in the 0th dimension.
This operation has
k outputs, where
k is the number of components in the tuples stored in the given queue, and output
i is the ith component of the dequeued tuple.
Optional attributes (see
OutputList: One or more tensors that were dequeued as a tuple.
|Constructors and Destructors|
|Public static functions|
Optional attribute setters for QueueDequeueUpTo.
QueueDequeueUpTo( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input n, const DataTypeSlice & component_types )
QueueDequeueUpTo( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input n, const DataTypeSlice & component_types, const QueueDequeueUpTo::Attrs & attrs )
::tensorflow::Output operator( size_t index ) const
Attrs TimeoutMs( int64 x )
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.