InfeedEnqueueTuple

public final class InfeedEnqueueTuple

Feeds multiple Tensor values into the computation as an XLA tuple.

Nested Classes

class InfeedEnqueueTuple.Options Optional attributes for InfeedEnqueueTuple  

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

static InfeedEnqueueTuple
create(Scope scope, Iterable<Operand<?>> inputs, List<Shape> shapes, Options... options)
Factory method to create a class wrapping a new InfeedEnqueueTuple operation.
static InfeedEnqueueTuple.Options
deviceOrdinal(Long deviceOrdinal)
static InfeedEnqueueTuple.Options
layouts(List<Long> layouts)

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "InfeedEnqueueTuple"

Public Methods

public static InfeedEnqueueTuple create (Scope scope, Iterable<Operand<?>> inputs, List<Shape> shapes, Options... options)

Factory method to create a class wrapping a new InfeedEnqueueTuple operation.

Parameters
scope current scope
inputs A list of tensors that will be provided using the infeed mechanism.
shapes The shapes of each tensor in `inputs`.
options carries optional attributes values
Returns
  • a new instance of InfeedEnqueueTuple

public static InfeedEnqueueTuple.Options deviceOrdinal (Long deviceOrdinal)

Parameters
deviceOrdinal The TPU device to use. This should be -1 when the Op is running on a TPU device, and >= 0 when the Op is running on the CPU device.

public static InfeedEnqueueTuple.Options layouts (List<Long> layouts)

Parameters
layouts A vector holding the requested layout in minor-to-major sequence for all the tuple shapes, in the order the shapes appear in the "shapes" input. The layout elements for a sub-shape can be set to -1, in which case the corresponding layout will be computed by the infeed operation.