tensorflow::ops::RandomShuffleQueue::Attrs

#include <data_flow_ops.h>

Optional attribute setters for RandomShuffleQueue.

Summary

Public attributes
`capacity_ = -1`	`int64`
`container_ = ""`	`StringPiece`
`min_after_dequeue_ = 0`	`int64`
`seed2_ = 0`	`int64`
`seed_ = 0`	`int64`
`shapes_ = {}`	`gtl::ArraySlice< PartialTensorShape >`
`shared_name_ = ""`	`StringPiece`

Public functions
`Capacity(int64 x)`	`TF_MUST_USE_RESULT Attrs` The upper bound on the number of elements in this queue.
`Container(StringPiece x)`	`TF_MUST_USE_RESULT Attrs` If non-empty, this queue is placed in the given container.
`MinAfterDequeue(int64 x)`	`TF_MUST_USE_RESULT Attrs` Dequeue will block unless there would be this many elements after the dequeue or the queue is closed.
`Seed(int64 x)`	`TF_MUST_USE_RESULT Attrs` If either seed or seed2 is set to be non-zero, the random number generator is seeded by the given seed.
`Seed2(int64 x)`	`TF_MUST_USE_RESULT Attrs` A second seed to avoid seed collision.
`Shapes(const gtl::ArraySlice< PartialTensorShape > & x)`	`TF_MUST_USE_RESULT Attrs` The shape of each component in a value.
`SharedName(StringPiece x)`	`TF_MUST_USE_RESULT Attrs` If non-empty, this queue will be shared under the given name across multiple sessions.

Public attributes

capacity_

int64 tensorflow::ops::RandomShuffleQueue::Attrs::capacity_ = -1

container_

StringPiece tensorflow::ops::RandomShuffleQueue::Attrs::container_ = ""

min_after_dequeue_

int64 tensorflow::ops::RandomShuffleQueue::Attrs::min_after_dequeue_ = 0

seed2_

int64 tensorflow::ops::RandomShuffleQueue::Attrs::seed2_ = 0

seed_

int64 tensorflow::ops::RandomShuffleQueue::Attrs::seed_ = 0

shapes_

gtl::ArraySlice< PartialTensorShape > tensorflow::ops::RandomShuffleQueue::Attrs::shapes_ = {}

shared_name_

StringPiece tensorflow::ops::RandomShuffleQueue::Attrs::shared_name_ = ""

Public functions

Capacity

TF_MUST_USE_RESULT Attrs tensorflow::ops::RandomShuffleQueue::Attrs::Capacity(
  int64 x
)

The upper bound on the number of elements in this queue.

Negative numbers mean no limit.

Defaults to -1

Container

TF_MUST_USE_RESULT Attrs tensorflow::ops::RandomShuffleQueue::Attrs::Container(
  StringPiece x
)

If non-empty, this queue is placed in the given container.

Otherwise, a default container is used.

Defaults to ""

MinAfterDequeue

TF_MUST_USE_RESULT Attrs tensorflow::ops::RandomShuffleQueue::Attrs::MinAfterDequeue(
  int64 x
)

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.

Defaults to 0

Seed

TF_MUST_USE_RESULT Attrs tensorflow::ops::RandomShuffleQueue::Attrs::Seed(
  int64 x
)

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.

Defaults to 0

Seed2

TF_MUST_USE_RESULT Attrs tensorflow::ops::RandomShuffleQueue::Attrs::Seed2(
  int64 x
)

A second seed to avoid seed collision.

Defaults to 0

Shapes

TF_MUST_USE_RESULT Attrs tensorflow::ops::RandomShuffleQueue::Attrs::Shapes(
  const gtl::ArraySlice< PartialTensorShape > & x
)

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.

Defaults to []

SharedName

TF_MUST_USE_RESULT Attrs tensorflow::ops::RandomShuffleQueue::Attrs::SharedName(
  StringPiece x
)

If non-empty, this queue will be shared under the given name across multiple sessions.

Defaults to ""