# tensorplay.functional.count_nonzero

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

```python
tensorplay.functional.count_nonzero(input, dim=None) → Tensor
```

Counts the number of non-zero values in the tensor input along the given dim.
If no dim is specified then all non-zeros in the tensor are counted.

Parameters:

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

- dim ([int](https://docs.python.org/3/builtins/functions.html#int) or [tuple](https://docs.python.org/3/builtins/stdtypes.html#tuple) of ints, optional) – Dim or tuple of dims along which to count non-zeros.

Example:

```
>>> x = tensorplay.zeros(3,3)
>>> x[tensorplay.randn(3,3) > 0.5] = 1
>>> x
tensor([[0., 1., 1.],
        [0., 0., 0.],
        [0., 0., 1.]])
>>> tensorplay.count_nonzero(x)
tensor(3)
>>> tensorplay.count_nonzero(x, dim=0)
tensor([0, 1, 2])
```