---
title: "Parameter"
sidebar_label: "Parameter"
description: "The clika_runtime.nn Parameter class."
---

<!-- Generated by tools/api_reference/generate_api_docs.py. Do not edit. -->

A tensor a module registers as a learned weight. Assigning one to a module attribute files it under that name, and it takes part in every tensor operation unchanged (isinstance(p, Tensor) holds). Parameter(data) wraps `data` without copying: both share one storage. A layer's `.weight` is a Parameter view of its slot: after the layer packs, a view held across the forward answers its metadata (dtype, shape, device, numel) without a copy, and a value read through the layer (`layer.weight`) reconstructs the weight once.

## `data` (property)

The plain tensor handle behind this parameter (shared storage). Assigning rebinds the parameter to another tensor's storage in place, so the object a module attribute holds is unchanged by a move or a cast.

## `__init__`

```python
__init____init__(self, data: clika_runtime._core.Tensor) -> None
```

__init__(self, data: clika_runtime._core.Tensor) -> None

Wrap `data` without copying; the parameter shares its storage.