# tensorplay.functional.masked_select

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

```python
tensorplay.functional.masked_select(input, mask, *, out=None) → Tensor
```

Returns a new 1-D tensor which indexes the input tensor according to
the boolean mask mask which is a BoolTensor.

The shapes of the mask tensor and the input tensor don’t need
to match, but they must be [broadcastable](/docs/notes/broadcasting.html#broadcasting-semantics).

> **Note**
>
> The returned tensor does not use the same storage as the original tensor

Parameters:

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

- mask (BoolTensor) – the tensor containing the binary mask to index with

Keyword Arguments:

out ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor), optional) – the output tensor.

Example:

```
>>> x = tensorplay.randn(3, 4)
>>> x
tensor([[ 0.3552, -2.3825, -0.8297,  0.3477],
        [-1.2035,  1.2252,  0.5002,  0.6248],
        [ 0.1307, -2.0608,  0.1244,  2.0139]])
>>> mask = x.ge(0.5)
>>> mask
tensor([[False, False, False, False],
        [False, True, True, True],
        [False, False, False, True]])
>>> tensorplay.masked_select(x, mask)
tensor([ 1.2252,  0.5002,  0.6248,  2.0139])
```