# tf.raw_ops.BatchDatasetV2

<br />

Creates a dataset that batches `batch_size` elements from `input_dataset`.

#### View aliases


**Compat aliases for migration**

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

[`tf.compat.v1.raw_ops.BatchDatasetV2`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/BatchDatasetV2)

<br />

    tf.raw_ops.BatchDatasetV2(
        input_dataset,
        batch_size,
        drop_remainder,
        output_types,
        output_shapes,
        parallel_copy=False,
        metadata='',
        name=None
    )

<br />

<br />

<br />

| ## Args ||
|---|---|
| `input_dataset` | A `Tensor` of type `variant`. |
| `batch_size` | A `Tensor` of type `int64`. A scalar representing the number of elements to accumulate in a batch. |
| `drop_remainder` | A `Tensor` of type `bool`. A scalar representing whether the last batch should be dropped in case its size is smaller than desired. |
| `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`. |
| `parallel_copy` | An optional `bool`. Defaults to `False`. |
| `metadata` | An optional `string`. Defaults to `""`. |
| `name` | A name for the operation (optional). |

<br />

<br />

<br />

<br />

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

<br />