# tensorplay.functional.isin

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

```python
tensorplay.functional.isin(elements, test_elements, *, assume_unique=False, invert=False) → Tensor
```

Tests if each element of elements is in test_elements. Returns
a boolean tensor of the same shape as elements that is True for elements
in test_elements and False otherwise.

> **Note**
>
> One of elements or test_elements can be a scalar, but not both.

Parameters:

- elements ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor) or [Scalar](/docs/generated/tensorplay.Scalar.html#tensorplay.Scalar)) – Input elements

- test_elements ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor) or [Scalar](/docs/generated/tensorplay.Scalar.html#tensorplay.Scalar)) – Values against which to test for each input element

- assume_unique ([bool](https://docs.python.org/3/builtins/functions.html#bool), optional) – If True, assumes both elements and test_elements contain unique elements, which can speed up the calculation. Default: False

- invert ([bool](https://docs.python.org/3/builtins/functions.html#bool), optional) – If True, inverts the boolean return tensor, resulting in True values for elements not in test_elements. Default: False

Returns:

A boolean tensor of the same shape as elements that is True for elements in
test_elements and False otherwise

Example

```
>>> tensorplay.isin(tensorplay.tensor([[1, 2], [3, 4]]), tensorplay.tensor([2, 3]))
tensor([[False,  True],
        [ True, False]])
```