RandomShuffleQueue
tensorflow C++ API
tensorflow::ops::RandomShuffleQueue
A queue that randomizes the order of elements.
Summary
Arguments:
- scope: A Scope object
- component_types: The type of each component in a value.
Optional attributes (seeAttrs
):
- shapes: The shape of each component in a value. The length of this attr must be either 0 or the same as the length of component_types. If the length of this attr is 0, the shapes of queue elements are not constrained, and only one element may be dequeued at a time.
- capacity: The upper bound on the number of elements in this queue. Negative numbers mean no limit.
- min_after_dequeue: Dequeue will block unless there would be this many elements after the dequeue or the queue is closed. This ensures a minimum level of mixing of elements.
- seed: If either seed or seed2 is set to be non-zero, the random number generator is seeded by the given seed. Otherwise, a random seed is used.
- seed2: A second seed to avoid seed collision.
- container: If non-empty, this queue is placed in the given container. Otherwise, a default container is used.
- shared_name: If non-empty, this queue will be shared under the given name across multiple sessions.
Returns:
- Output : The handle to the queue.
Constructor
- RandomShuffleQueue(const ::tensorflow::Scope & scope, const DataTypeSlice & component_types, const RandomShuffleQueue::Attrs & attrs).
Public attributes
- tensorflow::Output handle.
RandomShuffleQueue block
Source link : https://github.com/EXPNUNI/enuSpace-Tensorflow/blob/master/enuSpaceTensorflow/tf_data_flow_ops.cpp
Argument:
- Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
component_types: Input DataType List in accordance with each input.
RandomShuffleQueue::Attrs attrs : input attrs data. ex) shapes_ = {2,4}; capacity = -1; container = ; shared_name = ;
Return:
- Output handle: Output object of RandomShuffleQueue class object.
Result:
- std::vector(Tensor) product_result : Returned object of executed result by calling session.