# tensorplay.functional.tanh

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

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

Returns a new tensor with the hyperbolic tangent of the elements
of input.

$$\text{out}_{i} = \tanh(\text{input}_{i})$$

Parameters:

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

Keyword Arguments:

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

Example:

```
>>> a = tensorplay.randn(4)
>>> a
tensor([ 0.8986, -0.7279,  1.1745,  0.2611])
>>> tensorplay.tanh(a)
tensor([ 0.7156, -0.6218,  0.8257,  0.2553])
```