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

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
Operation
op()
Return this unit of computation as a single Operation.
final String
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()
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.
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
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 ()