(l-onnx-doc-Softsign)=

# Softsign


(l-onnx-op-softsign-22)=

## Softsign - 22

### Version

- **name**: [Softsign (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Softsign)
- **domain**: `main`
- **since_version**: `22`
- **function**: `True`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 22**.

### Summary

Calculates the softsign (x/(1+|x|)) of the given input tensor element-wise.

#### Function Body

The function definition for this operator.

```
<
  domain: "",
  opset_import: ["" : 18]
>
Softsign (input) => (output)
{
   One = Constant <value: tensor = float {1}> ()
   OneCast = CastLike (One, input)
   AbsInput = Abs (input)
   OneAddAbsInput = Add (OneCast, AbsInput)
   output = Div (input, OneAddAbsInput)
}
```

### Inputs

- **input** (heterogeneous) - **T**:

  Input tensor

### Outputs

- **output** (heterogeneous) - **T**:

  The softsign (x/(1+|x|)) values of the input tensor computed element-wise

### Type Constraints

* **T** in ( `tensor(bfloat16)`, `tensor(double)`, `tensor(float)`, `tensor(float16)` ):

  Constrain input and output types to float tensors.

```{toctree}
text_diff_Softsign_1_22
```

(l-onnx-op-softsign-1)=

## Softsign - 1

### Version

- **name**: [Softsign (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Softsign)
- **domain**: `main`
- **since_version**: `1`
- **function**: `True`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 1**.

### Summary

Calculates the softsign (x/(1+|x|)) of the given input tensor element-wise.

#### Function Body

The function definition for this operator.

```
<
  domain: "",
  opset_import: ["" : 18]
>
Softsign (input) => (output)
{
   One = Constant <value: tensor = float {1}> ()
   OneCast = CastLike (One, input)
   AbsInput = Abs (input)
   OneAddAbsInput = Add (OneCast, AbsInput)
   output = Div (input, OneAddAbsInput)
}
```

### Inputs

- **input** (heterogeneous) - **T**:

  Input tensor

### Outputs

- **output** (heterogeneous) - **T**:

  The softsign (x/(1+|x|)) values of the input tensor computed element-wise

### Type Constraints

* **T** in ( `tensor(double)`, `tensor(float)`, `tensor(float16)` ):

  Constrain input and output types to float tensors.