# tensorplay.functional.slice_scatter

Source: https://www.tensorplay.cn/docs/generated/tensorplay.functional.slice_scatter.html

```python
tensorplay.functional.slice_scatter(input, src, dim=0, start=None, end=None, step=1) → Tensor
```

Embeds the values of the src tensor into input at the given
dimension.
This function returns a tensor with fresh storage; it does not create a view.

Parameters:

- input ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – the input tensor.

- src ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – The tensor to embed into input

- dim ([int](https://docs.python.org/3/builtins/functions.html#int)) – the dimension to insert the slice into

- start (Optional[[int](https://docs.python.org/3/builtins/functions.html#int)]) – the start index of where to insert the slice

- end (Optional[[int](https://docs.python.org/3/builtins/functions.html#int)]) – the end index of where to insert the slice

- step ([int](https://docs.python.org/3/builtins/functions.html#int)) – the how many elements to skip in

Example:

```
>>> a = tensorplay.zeros(8, 8)
>>> b = tensorplay.ones(2, 8)
>>> a.slice_scatter(b, start=6)
tensor([[0., 0., 0., 0., 0., 0., 0., 0.],
        [0., 0., 0., 0., 0., 0., 0., 0.],
        [0., 0., 0., 0., 0., 0., 0., 0.],
        [0., 0., 0., 0., 0., 0., 0., 0.],
        [0., 0., 0., 0., 0., 0., 0., 0.],
        [0., 0., 0., 0., 0., 0., 0., 0.],
        [1., 1., 1., 1., 1., 1., 1., 1.],
        [1., 1., 1., 1., 1., 1., 1., 1.]])

>>> b = tensorplay.ones(8, 2)
>>> a.slice_scatter(b, dim=1, start=2, end=6, step=2)
tensor([[0., 0., 1., 0., 1., 0., 0., 0.],
        [0., 0., 1., 0., 1., 0., 0., 0.],
        [0., 0., 1., 0., 1., 0., 0., 0.],
        [0., 0., 1., 0., 1., 0., 0., 0.],
        [0., 0., 1., 0., 1., 0., 0., 0.],
        [0., 0., 1., 0., 1., 0., 0., 0.],
        [0., 0., 1., 0., 1., 0., 0., 0.],
        [0., 0., 1., 0., 1., 0., 0., 0.]])
```