# tensorplay.nn.attention.bias.causal_lower_right

Source: https://www.tensorplay.cn/docs/generated/tensorplay.nn.attention.bias.causal_lower_right.html

```python
tensorplay.nn.attention.bias.causal_lower_right(*size) → CausalBias
```

Creates a lower-right triangular causal bias.

This function generates a lower-right triangular matrix to represent causal attention bias with a
diagonal offset set so that the inclusive values are aligned to the lower right corner of the matrix.

The equivalent code for constructing this bias is:

```
diagonal_offset = size[1] - size[0]
tensorplay.tril(
    tensorplay.ones(size, dtype=tensorplay.bool),
    diagonal=diagonal_offset,
)
```

For instance, with shape=(3,4), the materialized bias tensor will be:

```
[[1, 1, 0, 0],
 [1, 1, 1, 0],
 [1, 1, 1, 1]]
```

Parameters:

size – The size of the bias matrix.

Returns:

The LOWER_RIGHT triangular causal bias variant.

Return type:

[CausalBias](/docs/generated/tensorplay.nn.attention.bias.CausalBias.html#tensorplay.nn.attention.bias.CausalBias)