Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

InfeedEnqueueTuple

public final class InfeedEnqueueTuple

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

class InfeedEnqueueTuple.Options Optional attributes for InfeedEnqueueTuple

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)

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying `Operation`
final String	toString()

From class java.lang.Object

Public Methods

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

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

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.

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.