op {
  graph_op_name: "QueueDequeueMany"
  visibility: SKIP
  in_arg {
    name: "handle"
    description: <<END
The handle to a queue.
END
  }
  in_arg {
    name: "n"
    description: <<END
The number of tuples to dequeue.
END
  }
  out_arg {
    name: "components"
    description: <<END
One or more tensors that were dequeued as a tuple.
END
  }
  attr {
    name: "component_types"
    description: <<END
The type of each component in a tuple.
END
  }
  attr {
    name: "timeout_ms"
    description: <<END
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.
END
  }
  summary: "Dequeues `n` tuples of one or more tensors from the given queue."
  description: <<END
If the queue is closed and there are fewer than `n` elements, then an
OutOfRange error is returned.

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.

N.B. If the queue is empty, this operation will block until `n` elements
have been dequeued (or 'timeout_ms' elapses, if specified).
END
}