# AffineTransform

Source: https://www.tensorplay.cn/docs/generated/tensorplay.distributions.AffineTransform.html

```python
class tensorplay.distributions.AffineTransform(loc: Tensor | float, scale: Tensor | float, event_dim: int = 0, cache_size: int = 0)
```

Transform via the pointwise affine mapping $y = \text{loc} + \text{scale} \times x$.

Parameters:

- loc ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor) or [float](https://docs.python.org/3/builtins/functions.html#float)) – Location parameter.

- scale ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor) or [float](https://docs.python.org/3/builtins/functions.html#float)) – Scale parameter.

- event_dim ([int](https://docs.python.org/3/builtins/functions.html#int)) – Optional size of event_shape. This should be zero for univariate random variables, 1 for distributions over vectors, 2 for distributions over matrices, etc.

```python
property inv: Transform
```

Returns the inverse [Transform](/docs/generated/tensorplay.distributions.Transform.html#tensorplay.distributions.Transform) of this transform.
This should satisfy t.inv.inv is t.