AssertPrevDataset

public final class AssertPrevDataset

A transformation that asserts which transformations happened previously.

This transformation checks the names and, optionally, the attribute name-value pairs in the `transformations` argument against those of the transformations that preceded this transformation. 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 AssertPrevDataset
create(Scope scope, Operand<?> inputDataset, Operand<String> transformations, List<Class<?>> outputTypes, List<Shape> outputShapes)
Factory method to create a class wrapping a new AssertPrevDataset 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 AssertPrevDataset create (Scope scope, Operand<?> inputDataset, Operand<String> transformations, List<Class<?>> outputTypes, List<Shape> outputShapes)

Factory method to create a class wrapping a new AssertPrevDataset operation.

Parameters
scope current scope
inputDataset A variant tensor representing the input dataset. `AssertPrevDataset` passes through the outputs of its input dataset.
transformations A tf.string vector tf.Tensor identifying the transformations, with optional attribute name-value pairs, that are expected to have happened previously.
Returns
  • a new instance of AssertPrevDataset

public Output<?> handle ()