# tensorplay.functional.select

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

```python
tensorplay.functional.select(input, dim, index) → Tensor
```

Slices the input tensor along the selected dimension at the given index.
This function returns a view of the original tensor with the given dimension removed.

> **Note**
>
> If input is a sparse tensor and returning a view of the tensor is not possible, a RuntimeError exception is raised. In this is the case, consider using tensorplay.select_copy() function.

Parameters:

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

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

- index ([int](https://docs.python.org/3/builtins/functions.html#int)) – the index to select with

> **Note**
>
> select() is equivalent to slicing. For example, tensor.select(0, index) is equivalent to tensor[index] and tensor.select(2, index) is equivalent to tensor[:,:,index].