DynamicSlice

public final class DynamicSlice

Wraps the XLA DynamicSlice operator, documented at

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

DynamicSlice extracts a sub-array from the input array at dynamic start_indices. The size of the slice in each dimension is passed in size_indices, which specify the end point of exclusive slice intervals in each dimension -- [start, start + size). The shape of start_indices must have rank 1, with dimension size equal to the rank of operand.

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, U extends TNumber> DynamicSlice<T>	create(Scope scope, Operand<T> input, Operand<U> startIndices, Operand<U> sizeIndices) Factory method to create a class wrapping a new DynamicSlice operation.
Output<T>	output()

Inherited Methods

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

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

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.

From interface org.tensorflow.Operand

abstract Output<T>	asOutput() Returns the symbolic handle of the tensor.
abstract T	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

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

Constant Value: "XlaDynamicSlice"

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 DynamicSlice<T> create (Scope scope, Operand<T> input, Operand<U> startIndices, Operand<U> sizeIndices)

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

Parameters

scope	current scope
input	A `Tensor` of type T.
startIndices	List of N integers containing the slice size for each dimension. Each value must be strictly greater than zero, and start + size must be less than or equal to the size of the dimension to avoid implementation defined behavior.

Returns

• a new instance of DynamicSlice

public Output<T> output ()