# tensorplay.nn.init.orthogonal_

Source: https://www.tensorplay.cn/docs/generated/tensorplay.nn.init.orthogonal_.html

```python
tensorplay.nn.init.orthogonal_(tensor, gain=1, generator=None)
```

Fill tensor in-place with a (semi) orthogonal matrix.

The tensor must have at least 2 dimensions; trailing dimensions are
flattened.  Rows (or columns, when narrower) are orthonormalized
with a QR factorization of a standard-normal sample, and Q is
rescaled by the diagonal signs of R so its distribution is uniform
over the orthogonal group.