DynamicUpdateSlice

public final class DynamicUpdateSlice

Wraps the XLA DynamicUpdateSlice operator, documented at

https://www.tensorflow.org/performance/xla/operation_semantics#dynamicupdateslice .

XlaDynamicUpdateSlice generates a result which is the value of the `input` operand, with a slice update overwritten at `indices`. The shape of `update` determines the shape of the sub-array of the result which is updated. The shape of indices must be rank == 1, with dimension size equal to the rank of `input`.

Handling of out-of-bounds slice indices is implementation-defined.

Constants

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

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
static <T extends TType > DynamicUpdateSlice <T>
create ( Scope scope, Operand <T> input, Operand <T> update, Operand <? extends TNumber > indices)
Factory method to create a class wrapping a new DynamicUpdateSlice operation.
Output <T>
output ()
A `Tensor` of type T.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "XlaDynamicUpdateSlice"

Public Methods

public Output <T> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static DynamicUpdateSlice <T> create ( Scope scope, Operand <T> input, Operand <T> update, Operand <? extends TNumber > indices)

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

Parameters
scope current scope
input A `Tensor` of type T.
update A `Tensor` of type T. Same rank as `input`.
indices A vector of indices into `input`. Must have length equal to the rank of `input`.
Returns
  • a new instance of DynamicUpdateSlice

public Output <T> output ()

A `Tensor` of type T.