Struct RmsNormGated 

pub struct RmsNormGated {
    pub gamma: Param<Tensor<1>>,
    pub norm_before_gate: bool,
}

Applies Gated Rms Normalization over an input tensor along the last dimension.

• If norm_before_gate=true: Y = (X / sqrt(mean(X^2) + eps) * gamma) * SiLU(z)
• If norm_before_gate=false: Y = (X * SiLU(z)) / sqrt(mean((X * SiLU(z))^2) + eps) * gamma

Where:

• X is the input tensor
• Y is the output tensor
• z is the gating tensor
• gamma is the learnable weight
• mean is the mean operation
• eps is a small value to avoid division by zero.

Should be created using the RmsNormGatedConfig configuration.

Fields

gamma: Param<Tensor<1>>

The learnable per-channel scale γ, shape [d_model].

norm_before_gate: bool

Whether to normalize before applying the gating.

Implementations

impl RmsNormGated

pub fn forward<const D: usize>(&self, x: Tensor<D>, z: Tensor<D>) -> Tensor<D>

Applies the forward pass on the input tensor with gating.

Shapes

• input x: [..., any, d_model]
• input z: [..., any, d_model]
• output: [..., any, d_model]

Trait Implementations

impl AutodiffModule for RmsNormGated

fn valid(&self) -> Self

Returns the same module, but on the inner backend without auto-differentiation.

fn from_inner(module: Self) -> Self

Wraps an inner module back into an auto-diff module.

impl Clone for RmsNormGated

fn clone(&self) -> Self

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for RmsNormGated

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Display for RmsNormGated

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Module for RmsNormGated

type Record = RmsNormGatedRecord

Type to save and load the module.

fn load_record(self, record: Self::Record) -> Self

Load the module state from a record.

fn into_record(self) -> Self::Record

Convert the module into a record containing the state.

fn num_params(&self) -> usize

Get the number of parameters the module has, including all of its sub-modules.

fn visit<Visitor: ModuleVisitor>(&self, visitor: &mut Visitor)

Visit each tensor parameter in the module with a visitor.

fn map<Mapper: ModuleMapper>(self, mapper: &mut Mapper) -> Self

Map each tensor parameter in the module with a mapper.

fn collect_devices(&self, devices: Devices) -> Devices

Return all the devices found in the underneath module tree added to the given vector without duplicates.

fn to_device(self, device: &Device) -> Self

Move the module and all of its sub-modules to the given device.

fn fork(self, device: &Device) -> Self

Fork the module and all of its sub-modules to the given device.

fn devices(&self) -> Vec<Device>

Return all the devices found in the underneath module tree without duplicates.

fn no_grad(self) -> Self

Each tensor in the module tree will not require grad.

fn train(self) -> Self

where Self: AutodiffModule,

Move the module and all of its sub-modules to the autodiff backend.

fn quantize_weights(self, quantizer: &mut Quantizer) -> Self

Quantize the weights of the module.

impl ModuleDisplay for RmsNormGated

fn custom_settings(&self) -> Option<DisplaySettings>

Custom display settings for the module.

fn custom_content(&self, content: Content) -> Option<Content>

Custom attributes for the module.

fn format(&self, passed_settings: DisplaySettings) -> String

Formats the module with provided display settings.

impl ModuleDisplayDefault for RmsNormGated

fn content(&self, content: Content) -> Option<Content>

Attributes of the module used for display purposes.

fn num_params(&self) -> usize

Gets the number of the parameters of the module.