# tf.raw_ops.ExperimentalMapAndBatchDataset

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Creates a dataset that fuses mapping with batching.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.ExperimentalMapAndBatchDataset(
        input_dataset,
        other_arguments,
        batch_size,
        num_parallel_calls,
        drop_remainder,
        f,
        output_types,
        output_shapes,
        preserve_cardinality=False,
        name=None
    )

Creates a dataset that applies `f` to the outputs of `input_dataset` and then
batches `batch_size` of them.

Unlike a "MapDataset", which applies `f` sequentially, this dataset invokes up
to `batch_size * num_parallel_batches` copies of `f` in parallel.

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| ## Args ||
|---|---|
| `input_dataset` | A `Tensor` of type `variant`. A variant tensor representing the input dataset. |
| `other_arguments` | A list of `Tensor` objects. A list of tensors, typically values that were captured when building a closure for `f`. |
| `batch_size` | A `Tensor` of type `int64`. A scalar representing the number of elements to accumulate in a batch. It determines the number of concurrent invocations of `f` that process elements from `input_dataset` in parallel. |
| `num_parallel_calls` | A `Tensor` of type `int64`. A scalar representing the maximum number of parallel invocations of the `map_fn` function. Applying the `map_fn` on consecutive input elements in parallel has the potential to improve input pipeline throughput. |
| `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. |
| `f` | A function decorated with @Defun. A function to apply to the outputs of `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`. |
| `preserve_cardinality` | An optional `bool`. Defaults to `False`. |
| `name` | A name for the operation (optional). |

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

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