tensorflow::ops::QueueDequeueUpTo

#include <data_flow_ops.h>

Dequeues n tuples of one or more tensors from the given queue.

Summary

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.

Arguments:

• scope: A Scope object
• handle: The handle to a queue.
• n: The number of tuples to dequeue.
• component_types: The type of each component in a tuple.

Optional attributes (see Attrs):

• timeout_ms: 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.

Returns:

• OutputList: One or more tensors that were dequeued as a tuple.

Public attributes

::tensorflow::OutputList components

Public functions

 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 

Public static functions

Attrs TimeoutMs(
  int64 x
)