public final class AssertNextDataset extends PrimitiveOp implements Operand<Object>
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.
operation
Modifier and Type | Method and Description |
---|---|
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() |
equals, hashCode, op, toString
public static AssertNextDataset create(Scope scope, Operand<?> inputDataset, Operand<String> transformations, List<Class<?>> outputTypes, List<Shape> outputShapes)
scope
- current scopeinputDataset
- 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.outputTypes
- outputShapes
- public Output<?> handle()
public Output<Object> asOutput()
Operand
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.
asOutput
in interface Operand<Object>
OperationBuilder.addInput(Output)
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