Warning: This project is deprecated. Swift for TensorFlow was an experiment in the
next-generation platform for machine learning, incorporating the latest research across
machine learning, compilers, differentiable programming, systems design, and beyond. It was
archived in February 2021.
LayerNorm
Stay organized with collections
Save and categorize content based on your preferences.
A layer that applies layer normalization over a mini-batch of inputs.
Reference: Layer Normalization.
-
The offset value, also known as beta.
Declaration
public var offset: Tensor<Scalar>
-
The scale value, also known as gamma.
Declaration
public var scale: Tensor<Scalar>
-
Declaration
@noDerivative
public let axis: Int
-
The variance epsilon value.
Declaration
@noDerivative
public let epsilon: Scalar
-
Creates a layer normalization layer.
Declaration
public init(
offset: Tensor<Scalar>,
scale: Tensor<Scalar>,
axis: Int,
epsilon: Scalar
)
-
Creates a layer normalization layer.
Declaration
public init(
featureCount: Int,
axis: Int,
epsilon: Scalar = 0.001
)
Parameters
featureCount
|
|
axis
|
The axis that should be normalized.
|
epsilon
|
The small scalar added to variance.
|
-
Returns the output obtained from applying the layer to the given input.
Declaration
@differentiable
public func forward(_ input: Tensor<Scalar>) -> Tensor<Scalar>
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2021-09-28 UTC.
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Missing the information I need"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]
{"lastModified": "Last updated 2021-09-28 UTC."}
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-09-28 UTC."]]