Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

AssertNextDataset

public final class AssertNextDataset

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.

Public Methods

Output<Object>
asOutput()
Returns the symbolic handle of a tensor.
static AssertNextDataset
create(Scope scope, Operand<?> inputDataset, Operand<String> transformations, List<Class<?>> outputTypes, List<Shape> outputShapes)
Factory method to create a class wrapping a new AssertNextDataset operation.
Output<?>
handle()

Inherited Methods

Public Methods

public Output<Object> asOutput ()

Returns the symbolic handle of a 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<String> transformations, List<Class<?>> 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. `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

public Output<?> handle ()