public final class
DirectedInterleaveDataset
A substitute for `InterleaveDataset` on a fixed list of `N` datasets.
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| Output<TType> |
asOutput()
Returns the symbolic handle of the tensor.
|
| static DirectedInterleaveDataset | |
| Output<?> |
handle()
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"ExperimentalDirectedInterleaveDataset"
Public Methods
public Output<TType> 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 DirectedInterleaveDataset create (Scope scope, Operand<?> selectorInputDataset, Iterable<Operand<?>> dataInputDatasets, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes)
Factory method to create a class wrapping a new DirectedInterleaveDataset operation.
Parameters
| scope | current scope |
|---|---|
| selectorInputDataset | A dataset of scalar `DT_INT64` elements that determines which of the `N` data inputs should produce the next output element. |
| dataInputDatasets | `N` datasets with the same type that will be interleaved according to the values of `selector_input_dataset`. |
Returns
- a new instance of DirectedInterleaveDataset