InfeedEnqueueTuple

public final class InfeedEnqueueTuple

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

class InfeedEnqueueTuple.Options Optional attributes for InfeedEnqueueTuple

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

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.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

Constants

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

Constant Value: "InfeedEnqueueTuple"

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.