n tuples of one or more tensors from the given queue.
Compat aliases for migration
See Migration guide for more details.
tf.raw_ops.QueueDequeueUpTo( handle, n, component_types, timeout_ms=-1, name=None )
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
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.
Tensorof type mutable
string. The handle to a queue.
int32. The number of tuples to dequeue.
component_types: A list of
tf.DTypesthat has length
>= 1. The type of each component in a tuple.
timeout_ms: An optional
int. Defaults to
-1. If the queue has fewer than n elements, this operation will block for up to timeout_ms milliseconds. Note: This option is not supported yet.
name: A name for the operation (optional).
A list of
Tensor objects of type