# IndependentTransform

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

```python
class tensorplay.distributions.IndependentTransform(base_transform: Transform, reinterpreted_batch_ndims: int, cache_size: int = 0)
```

Wrapper around another transform to treat
reinterpreted_batch_ndims-many extra of the right most dimensions as
dependent. This has no effect on the forward or backward transforms, but
does sum out reinterpreted_batch_ndims-many of the rightmost dimensions
in log_abs_det_jacobian().

Parameters:

- base_transform ([Transform](/docs/generated/tensorplay.distributions.Transform.html#tensorplay.distributions.Transform)) – A base transform.

- reinterpreted_batch_ndims ([int](https://docs.python.org/3/builtins/functions.html#int)) – The number of extra rightmost dimensions to treat as dependent.

```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.