DynamicSlice

Stay organized with collections Save and categorize content based on your preferences.
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

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 ()