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.

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
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.
Output <?>

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "AssertNextDataset"

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

public Output <?> handle ()