# tf.raw_ops.AssertNextDataset

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A transformation that asserts which transformations happen next.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.AssertNextDataset`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/AssertNextDataset)

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    tf.raw_ops.AssertNextDataset(
        input_dataset, transformations, output_types, output_shapes, name=None
    )

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.

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| ## Args ||
|---|---|
| `input_dataset` | A `Tensor` of type `variant`. A variant tensor representing the input dataset. `AssertNextDataset` passes through the outputs of its input dataset. |
| `transformations` | A `Tensor` of type `string`. A [`tf.string`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf#string) vector [`tf.Tensor`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/Tensor) identifying the transformations that are expected to happen next. |
| `output_types` | A list of `tf.DTypes` that has length `>= 1`. |
| `output_shapes` | A list of shapes (each a [`tf.TensorShape`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/TensorShape) or list of `ints`) that has length `>= 1`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor` of type `variant`. ||

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