tensorflow::ops::RandomShuffleQueue

bookmark_border Stay organized with collections Save and categorize content based on your preferences.

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 (see Attrs):

• 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.

Public attributes

::tensorflow::Output handle

Operation operation

 RandomShuffleQueue(
  const ::tensorflow::Scope & scope,
  const DataTypeSlice & component_types
)

 RandomShuffleQueue(
  const ::tensorflow::Scope & scope,
  const DataTypeSlice & component_types,
  const RandomShuffleQueue::Attrs & attrs
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Attrs Capacity(
  int64 x
)

Attrs Container(
  StringPiece x
)

Attrs MinAfterDequeue(
  int64 x
)

Attrs Seed(
  int64 x
)

Attrs Seed2(
  int64 x
)

Attrs Shapes(
  const gtl::ArraySlice< PartialTensorShape > & x
)

Attrs SharedName(
  StringPiece x
)