Skip to content

Latest commit

 

History

History
111 lines (82 loc) · 3.31 KB

ns-directml-dml_local_response_normalization_operator_desc.md

File metadata and controls

111 lines (82 loc) · 3.31 KB
Raw
UID title description helpviewer_keywords old-location tech.root ms.assetid ms.date 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_LOCAL_RESPONSE_NORMALIZATION_OPERATOR_DESC
DML_LOCAL_RESPONSE_NORMALIZATION_OPERATOR_DESC
Performs a local response normalization (LRN) function on the input.
DML_LOCAL_RESPONSE_NORMALIZATION_OPERATOR_DESC
DML_LOCAL_RESPONSE_NORMALIZATION_OPERATOR_DESC structure
direct3d12.dml_local_response_normalization_operator_desc
directml/DML_LOCAL_RESPONSE_NORMALIZATION_OPERATOR_DESC
direct3d12\dml_local_response_normalization_operator_desc.htm
directml
43C494DC-4922-4944-A07F-802B43122575
11/02/2020
directml.h
Windows
Windows
19H1
DML_LOCAL_RESPONSE_NORMALIZATION_OPERATOR_DESC
directml/DML_LOCAL_RESPONSE_NORMALIZATION_OPERATOR_DESC
c++
APIRef
kbSyntax
HeaderDef
DirectML.h
DML_LOCAL_RESPONSE_NORMALIZATION_OPERATOR_DESC

-description

Performs a local response normalization (LRN) function on the input. This operator performs the following computation.

Output = Input / (Bias + (Alpha / LocalSize) * sum(Input^2 for every Input in the local region))^Beta

The data type and size of the input and output tensors must be the same.

-struct-fields

-field InputTensor

Type: const DML_TENSOR_DESC*

The tensor containing the input data. This tensor's Sizes should be { BatchCount, ChannelCount, Height, Width }.

-field OutputTensor

Type: const DML_TENSOR_DESC*

The tensor to write the results to. This tensor's Sizes should match the InputTensor.

-field CrossChannel

Type: BOOL

TRUE if the LRN layer sums across channels; otherwise, FALSE.

-field LocalSize

Type: UINT

The number of elements to sum over per dimension: Width, Height, and optionally Channel (if CrossChannel is set). This value must be at least 1.

-field Alpha

Type: FLOAT

The value of the scaling parameter. A value of 0.0001 is recommended as default.

-field Beta

Type: FLOAT

The value of the exponent. A value of 0.75 is recommended as default.

-field Bias

Type: FLOAT

The value of bias. A value of 1 is recommended as default.

Availability

This operator was introduced in DML_FEATURE_LEVEL_1_0.

Tensor constraints

InputTensor and OutputTensor must have the same DataType and Sizes.

Tensor support

Tensor Kind Supported dimension counts Supported data types
InputTensor Input 4 FLOAT32, FLOAT16
OutputTensor Output 4 FLOAT32, FLOAT16