# tf.raw_ops.ModelDataset

<br />

Identity transformation that models performance.

#### View aliases


**Compat aliases for migration**

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

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

<br />

    tf.raw_ops.ModelDataset(
        input_dataset,
        output_types,
        output_shapes,
        algorithm=0,
        cpu_budget=0,
        ram_budget=0,
        name=None
    )

Identity transformation that models performance.

<br />

<br />

<br />

| ## Args ||
|---|---|
| `input_dataset` | A `Tensor` of type `variant`. A variant tensor representing the input dataset. |
| `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`. |
| `algorithm` | An optional `int`. Defaults to `0`. |
| `cpu_budget` | An optional `int`. Defaults to `0`. |
| `ram_budget` | An optional `int`. Defaults to `0`. |
| `name` | A name for the operation (optional). |

<br />

<br />

<br />

<br />

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

<br />