tf.raw_ops.RandomShuffleQueueV2

A queue that randomizes the order of elements.

tf.raw_ops.RandomShuffleQueueV2(
    component_types, shapes=[], capacity=-1, min_after_dequeue=0, seed=0, seed2=0,
    container='', shared_name='', name=None
)

Args:

  • component_types: A list of tf.DTypes that has length >= 1. The type of each component in a value.
  • shapes: An optional list of shapes (each a tf.TensorShape or list of ints). Defaults to []. 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: An optional int. Defaults to -1. The upper bound on the number of elements in this queue. Negative numbers mean no limit.
  • min_after_dequeue: An optional int. Defaults to 0. 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: An optional int. Defaults to 0. 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: An optional int. Defaults to 0. A second seed to avoid seed collision.
  • container: An optional string. Defaults to "". If non-empty, this queue is placed in the given container. Otherwise, a default container is used.
  • shared_name: An optional string. Defaults to "". If non-empty, this queue will be shared under the given name across multiple sessions.
  • name: A name for the operation (optional).

Returns:

A Tensor of type resource.