Dnn.Components.RmsNorm Module Reference

Exported Modules
module	Dnn.Tensor
module	Compute.DeviceId
module	Compute.Device
module	Serialization.Tensor
module	Dnn.TensorInitializers
module	Compute.DeviceType
module	Dnn.ITensor
module	Compute.ExecutionContext
module	Serialization.Mode
module	Compute.MemoryResource
module	Compute.OperationTraits
module	Dnn.TensorTypes
module	Dnn.TensorDataType
module	Compute.UnaryOperation
module	Compute.IExecutionContext
module	Compute.CpuMemoryResource
module	Dnn.Component
module	Dnn.TensorDataTypeTraits
module	Serialization.ModelArchive
module	Compute.DeviceTypeTraits
module	Compute.ExecutionContextFactory
module	Dnn.Components.RmsNormConfig
module	Dnn.TensorPartitioning
module	Dnn.ComponentType

Classes
class	Mila::Dnn::RmsNorm< TDeviceType, TPrecision >
	Device-templated RMS Normalization component. More...

Typedefs
using	ComponentBase = Component<TDeviceType, TPrecision>
using	MR = typename DeviceTypeTraits<TDeviceType>::memory_resource
using	OpType = typename OperationTraits<OperationType::RmsNormOp, TDeviceType, TPrecision>::type
using	TensorType = Tensor<TPrecision, MR>

Functions
	RmsNorm (const std::string &name, const RmsNormConfig &config, std::optional< DeviceId > device_id=std::nullopt)
	~RmsNorm () override=default
void	allocateParameters (const shape_t *input_shape)
TensorType &	backward (const TensorType &input, const TensorType &output_grad)
	Run backward pass and return a reference to the component-owned input-gradient tensor.
void	createOperation ()
TensorType &	forward (const TensorType &input)
	Run forward pass and return a reference to the component-owned output tensor.
DeviceId	getDeviceId () const override
	Get the compute device id associated with this component.
std::vector< ITensor * >	getGradients () const override
	Return non-owning pointers to parameter gradient tensors.
MemoryStats	getMemoryStats () const override
	Return the current memory allocation breakdown for this component.
std::vector< ITensor * >	getParameters () const override
	Return non-owning pointers to parameter tensors.
const ComponentType	getType () const override
	Get the component type identifier.
void	initializeGradients ()
void	loadParameter (const std::string &name, const ITensorBlob &blob) override
	Load a parameter from serialized tensor data.
void	onBuilding (const BuildContext &build_context) override
	Hook invoked by build() to allocate component buffers.
void	onExecutionContextSet () override
	Lifecycle hook: Called immediately after ExecutionContext is set.
void	onTrainingModeChanging (TrainingMode training_mode) override
	Hook called before TrainingMode transitions.
size_t	parameterCount () const override
	Return number of trainable parameters.
void	save_ (ModelArchive &archive, SerializationMode mode) const override
void	synchronize () override
	Wait for outstanding device work submitted by this component.
std::string	toString () const override
	Produce a short, human-readable description of the component.
void	validateInputShape (const shape_t &input_shape) const
void	zeroGradients () override
	Clear all model-owned gradients for this component.

Variables
std::shared_ptr< TensorType >	bias_ { nullptr }
std::shared_ptr< TensorType >	bias_grad_ { nullptr }
RmsNormConfig	config_
std::unique_ptr< TensorType >	input_grad_ { nullptr }
std::shared_ptr< OpType >	operation_ { nullptr }
shape_t	outer_shape_
std::unique_ptr< TensorType >	output_ { nullptr }
std::optional< TensorType >	output_view_
std::unique_ptr< IExecutionContext >	owned_exec_context_ { nullptr }
std::shared_ptr< TensorType >	weight_ { nullptr }
std::shared_ptr< TensorType >	weight_grad_ { nullptr }

Files
file	/__w/Mila/Mila/Mila/Src/Dnn/Components/Normalization/RmsNorm/RmsNorm.ixx
	RMS Normalization component.