# tensorplay.functional.is_nonzero

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

```python
tensorplay.functional.is_nonzero(input)
```

Returns True if the input is a single element tensor which is not equal to zero
after type conversions.
i.e. not equal to tensorplay.tensor([0.]) or tensorplay.tensor([0]) or
tensorplay.tensor([False]).
Throws a RuntimeError if tensorplay.numel() != 1 (even in case
of sparse tensors).

Parameters:

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

Examples:

```
>>> tensorplay.is_nonzero(tensorplay.tensor([0.]))
False
>>> tensorplay.is_nonzero(tensorplay.tensor([1.5]))
True
>>> tensorplay.is_nonzero(tensorplay.tensor([False]))
False
>>> tensorplay.is_nonzero(tensorplay.tensor([3]))
True
>>> tensorplay.is_nonzero(tensorplay.tensor([1, 3, 5]))
Traceback (most recent call last):
...
RuntimeError: Boolean value of Tensor with more than one value is ambiguous
>>> tensorplay.is_nonzero(tensorplay.tensor([]))
Traceback (most recent call last):
...
RuntimeError: Boolean value of Tensor with no values is ambiguous
```