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> | |
| Output<T> |
output()
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
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