# jax.lax.slice#

jax.lax.slice(operand, start_indices, limit_indices, strides=None)[source]#

Wraps XLAâ€™s Slice operator.

Parameters:
• operand (jax.typing.ArrayLike) â€“ an array to slice

• start_indices (Sequence[int]) â€“ a sequence of `operand.ndim` start indices.

• limit_indices (Sequence[int]) â€“ a sequence of `operand.ndim` limit indices.

• strides (Sequence[int] | None) â€“ an optional sequence of `operand.ndim` strides.

Returns:

The sliced array

Return type:

Array

Examples

Here are some examples of simple two-dimensional slices:

```>>> x = jnp.arange(12).reshape(3, 4)
>>> x
Array([[ 0,  1,  2,  3],
[ 4,  5,  6,  7],
[ 8,  9, 10, 11]], dtype=int32)
```
```>>> lax.slice(x, (1, 0), (3, 2))
Array([[4, 5],
[8, 9]], dtype=int32)
```
```>>> lax.slice(x, (0, 0), (3, 4), (1, 2))
Array([[ 0,  2],
[ 4,  6],
[ 8, 10]], dtype=int32)
```

These two examples are equivalent to the following Python slicing syntax:

```>>> x[1:3, 0:2]
Array([[4, 5],
[8, 9]], dtype=int32)
```
```>>> x[0:3, 0:4:2]
Array([[ 0,  2],
[ 4,  6],
[ 8, 10]], dtype=int32)
```