# helia_edge.models.mlperf_tiny

Faithful scale-1 MLPerf Tiny architectures with newly initialized weights.

Pinned topology and licensing: https://ambiqai.github.io/helia-edge/examples/mlperf-tiny/ and models/licenses/.
Adapted from MLCommons Tiny (Apache-2.0); anomaly detector originally
Copyright (c) 2020 Hitachi, Ltd. (MIT). Changes: Keras 3 API, fixed captured
shapes/configurations, explicit layer names, no training or weight downloads.
These constructors do not provide official trained weights or accuracy claims.

## helia_edge.models.mlperf_tiny.build

`function` · `python`

```python
build(
    params: MlperfTinyParams,
    input_shape: tuple[int | None, ...] | None = None,
    *,
    batch_size: int | None = None,
    name: str | None = None,
) -> keras.Model
```

Build a faithful MLPerf Tiny architecture without loading or converting weights.

**Parameters**

| Name | Type | Default | Description |
| --- | --- | --- | --- |
| params | MlperfTinyParams | Required | The architecture: ``kws``, ``vww``, ``resnet`` or ``ad``. |
| input_shape | tuple[int \| None, ...] \| None | None | None, or the architecture's fixed input shape. |
| batch_size | int \| None | None | Static batch size; None for a dynamic batch. |
| name | str \| None | None | Model name; the family when None. |

**Returns**

| Name | Type | Description |
| --- | --- | --- |
|  | keras.Model | keras.Model: The model, named ``mlperf_tiny`` unless ``name`` is given. |

Source: `helia_edge/models/mlperf_tiny.py:187`