A transformation that asserts which transformations happen next.
This transformation checks whether the camel-case names (i.e. "FlatMap", not "flat_map") of the transformations following this transformation match the list of names in the `transformations` argument. If there is a mismatch, the transformation raises an exception.
The check occurs when iterating over the contents of the dataset, which means that the check happens after any static optimizations are applied to the dataset graph.
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 AssertNextDataset | |
| Output<?> |
handle()
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
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 AssertNextDataset create (Scope scope, Operand<?> inputDataset, Operand<TString> transformations, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes)
Factory method to create a class wrapping a new AssertNextDataset operation.
Parameters
| scope | current scope |
|---|---|
| inputDataset | A variant tensor representing the input dataset. `data.AssertNextDataset` passes through the outputs of its input dataset. |
| transformations | A tf.string vector tf.Tensor identifying the transformations that are
expected to happen next. |
Returns
- a new instance of AssertNextDataset