Google I/O is a wrap! Catch up on TensorFlow sessions

# tensorflow:: ops:: Asinh

``` #include <math_ops.h> ```

Computes inverse hyperbolic sine of x element-wise.

## Summary

Given an input tensor, this function computes inverse hyperbolic sine for every element in the tensor. Both input and output has a range of ``` [-inf, inf] ``` .

```  x = tf.constant([-float("inf"), -2, -0.5, 1, 1.2, 200, 10000, float("inf")])
tf.math.asinh(x) ==> [-inf -1.4436355 -0.4812118 0.8813736 1.0159732 5.991471 9.903487 inf]
```

Args:

Returns:

• ``` Output ``` : The y tensor.

### Constructors and Destructors

``` Asinh (const :: tensorflow::Scope & scope, :: tensorflow::Input x) ```

### Public attributes

``` operation ```
``` Operation ```
``` y ```
``` :: tensorflow::Output ```

### Public functions

``` node () const ```
``` ::tensorflow::Node * ```
``` operator::tensorflow::Input () const ```
``` ```
``` operator::tensorflow::Output () const ```
``` ```

## Public attributes

### operation

`Operation operation`

### y

`::tensorflow::Output y`

## Public functions

### Asinh

``` Asinh(
const ::tensorflow::Scope & scope,
::tensorflow::Input x
)```

### node

`::tensorflow::Node * node() const `

### operator::tensorflow::Input

` operator::tensorflow::Input() const `

### operator::tensorflow::Output

` operator::tensorflow::Output() const `
[{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Missing the information I need" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]
[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }]