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 | |
| Output<?> |
handle()
|
Inherited Methods
| boolean |
equals(Object arg0)
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| final Class<?> |
getClass()
|
| int |
hashCode()
|
| final void |
notify()
|
| final void |
notifyAll()
|
| String |
toString()
|
| final void |
wait(long arg0, int arg1)
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| final void |
wait(long arg0)
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| final void |
wait()
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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