DML_ACTIVATION_HARD_SWISH_OPERATOR_DESC structure (directml.h)

Performs a hard swish activation function on every element in InputTensor, placing the result into the corresponding element of OutputTensor.

f(x) = x * HardSigmoid(x, Alpha, Beta)

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

Syntax

struct DML_ACTIVATION_HARD_SWISH_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 scale coefficient. A typical default for this value is 0.166667 (1/6).

Beta

Type: FLOAT

The bias coefficient. A typical default for this value is 0.5.

Availability

This operator was introduced in DML_FEATURE_LEVEL_6_2.

Tensor constraints

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

Tensor support

Requirements