# DML_ACTIVATION_LINEAR_OPERATOR_DESC structure (directml.h)

Performs the linear activation function on every element in *InputTensor*, placing the result into the corresponding element of *OutputTensor*.

```
f(x) = Alpha * x + Beta.
```

This operator supports in-place execution, meaning that the output tensor is permitted to alias *InputTensor* during binding.

## Syntax

```
struct DML_ACTIVATION_LINEAR_OPERATOR_DESC {
const DML_TENSOR_DESC *InputTensor;
const DML_TENSOR_DESC *OutputTensor;
FLOAT Alpha;
FLOAT Beta;
};
```

## Members

`InputTensor`

Type: **const DML_TENSOR_DESC***

The input tensor to read from.

`OutputTensor`

Type: **const DML_TENSOR_DESC***

The output tensor to write the results to.

`Alpha`

Type: **FLOAT**

The alpha coefficient.

`Beta`

Type: **FLOAT**

The beta coefficient.

## Availability

This operator was introduced in `DML_FEATURE_LEVEL_1_0`

.

## Tensor constraints

*InputTensor* and *OutputTensor* must have the same *DataType*, *DimensionCount*, and *Sizes*.

## Tensor support

### DML_FEATURE_LEVEL_3_0 and above

Tensor | Kind | Supported dimension counts | Supported data types |
---|---|---|---|

InputTensor | Input | 1 to 8 | FLOAT32, FLOAT16 |

OutputTensor | Output | 1 to 8 | FLOAT32, FLOAT16 |

### DML_FEATURE_LEVEL_2_0 and above

Tensor | Kind | Supported dimension counts | Supported data types |
---|---|---|---|

InputTensor | Input | 4 to 5 | FLOAT32, FLOAT16 |

OutputTensor | Output | 4 to 5 | FLOAT32, FLOAT16 |

### DML_FEATURE_LEVEL_1_0 and above

Tensor | Kind | Supported dimension counts | Supported data types |
---|---|---|---|

InputTensor | Input | 4 | FLOAT32, FLOAT16 |

OutputTensor | Output | 4 | FLOAT32, FLOAT16 |

## Requirements

Header |
directml.h |