ns-directml-dml_activation_softsign_operator_desc.md

UID	title	description	helpviewer_keywords	old-location	tech.root	ms.assetid	ms.date	ms.keywords	req.header	req.include-header	req.target-type	req.target-min-winverclnt	req.target-min-winversvr	req.kmdf-ver	req.umdf-ver	req.ddi-compliance	req.unicode-ansi	req.idl	req.max-support	req.namespace	req.assembly	req.type-library	req.lib	req.dll	req.irql	targetos	req.typenames	req.redist	ms.custom	f1_keywords	dev_langs	topic_type	api_type	api_location	api_name
NS:directml.DML_ACTIVATION_SOFTSIGN_OPERATOR_DESC	DML_ACTIVATION_SOFTSIGN_OPERATOR_DESC	Performs the softsign function on every element in *InputTensor*, placing the result into the corresponding element of *OutputTensor*.	DML_ACTIVATION_SOFTSIGN_OPERATOR_DESC DML_ACTIVATION_SOFTSIGN_OPERATOR_DESC structure direct3d12.dml_activation_softsign_operator_desc directml/DML_ACTIVATION_SOFTSIGN_OPERATOR_DESC	direct3d12\dml_activation_softsign_operator_desc.htm	directml	E45B259A-7490-4CBD-AEA2-292711D162D2	10/28/2020	DML_ACTIVATION_SOFTSIGN_OPERATOR_DESC, DML_ACTIVATION_SOFTSIGN_OPERATOR_DESC structure, direct3d12.dml_activation_softsign_operator_desc, directml/DML_ACTIVATION_SOFTSIGN_OPERATOR_DESC	directml.h		Windows															Windows			19H1	DML_ACTIVATION_SOFTSIGN_OPERATOR_DESC directml/DML_ACTIVATION_SOFTSIGN_OPERATOR_DESC	c++	APIRef kbSyntax	HeaderDef	DirectML.h	DML_ACTIVATION_SOFTSIGN_OPERATOR_DESC

-description

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

f(x) = x / (1 + abs(x))

Where abs(x) returns the absolute value of x.

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

-struct-fields

-field InputTensor

Type: const DML_TENSOR_DESC*

The input tensor to read from.

-field OutputTensor

Type: const DML_TENSOR_DESC*

The output tensor to write the results to.

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

-see-also

DML_ACTIVATION_HARD_SIGMOID_OPERATOR_DESC structure