Inheritance diagram for Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >:

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Collaboration diagram for Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >:

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Public Types
using	CudaExecutionContext = ExecutionContext<DeviceType::Cuda>
using	MR = CudaDeviceMemoryResource
using	NativeType = typename Mila::Dnn::Compute::Cuda::TensorDataTypeMap<TPrecision>::device_type
using	TensorType = Tensor<TPrecision, MR>
using	UnaryOperationBase = UnaryOperation<DeviceType::Cuda, TPrecision>
Public Types inherited from Mila::Dnn::Compute::UnaryOperation< DeviceType::Cuda, TPrecision >
using	MR
using	TensorInputType
using	TensorOutputType
Public Types inherited from Mila::Dnn::Compute::Operation< TDeviceType, TInput >
using	DataTypeTraits

Public Member Functions
	CudaSwigluOp (IExecutionContext *context, const SwigluConfig &config)
void	backward (const ITensor &input, const ITensor &output_gradient, ITensor &input_gradient) const override
	Backward pass: compute gradient wrt input given output gradient.
void	forward (const ITensor &input, ITensor &output) const override
	Forward pass: compute output = f(input).
std::string	getName () const override
	Human-readable operation name.
OperationType	getOperationType () const override
	Operation type identifier.
Public Member Functions inherited from Mila::Dnn::Compute::UnaryOperation< DeviceType::Cuda, TPrecision >
virtual	~UnaryOperation ()=default
Public Member Functions inherited from Mila::Dnn::Compute::Operation< TDeviceType, TInput >
virtual	~Operation ()=default
virtual void	build (const BuildContext &build_context)
	Prepare the operation for a concrete input shape.
virtual void	clearGradients () noexcept
	Clear any cached gradient pointers held by the operation.
virtual TensorDataType	getDataType () const
	Tensor data type for this operation.
virtual DeviceType	getDeviceType () const
	Device type for this operation.
virtual std::size_t	getStateMemorySize () const
	Returns the number of bytes of state memory allocated by this operation.
virtual bool	isBuilt () const
	Whether build() completed successfully for a concrete input shape.
virtual bool	isEvalMode () const
	Query whether operation is configured for training.
virtual void	setGradients (ITensor weight_grad, ITensor bias_grad)
	Bind module-owned gradient tensors to the operation.
virtual void	setParameters (ITensor weight, ITensor bias)
	Bind module-owned parameter tensors to the operation.
virtual void	setTrainingMode (TrainingMode training_mode)
	Configure operation training-mode behavior.

Private Attributes
SwigluConfig	config_
CudaExecutionContext *	context_
Detail::cuda_swiglu_impl< NativeType >	impl_

Additional Inherited Members
Static Public Attributes inherited from Mila::Dnn::Compute::Operation< TDeviceType, TInput >
static constexpr TensorDataType	data_type
static constexpr DeviceType	device_type
Static Protected Member Functions inherited from Mila::Dnn::Compute::UnaryOperation< DeviceType::Cuda, TPrecision >
static const TensorInputType &	asInputTensor (const ITensor &t)
static TensorOutputType &	asOutputTensor (ITensor &t)
Protected Attributes inherited from Mila::Dnn::Compute::Operation< TDeviceType, TInput >
bool	is_built_
TrainingMode	training_mode_

Member Typedef Documentation

◆ CudaExecutionContext

template<TensorDataType TPrecision>

using Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >::CudaExecutionContext = ExecutionContext<DeviceType::Cuda>

◆ MR

template<TensorDataType TPrecision>

using Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >::MR = CudaDeviceMemoryResource

◆ NativeType

template<TensorDataType TPrecision>

using Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >::NativeType = typename Mila::Dnn::Compute::Cuda::TensorDataTypeMap<TPrecision>::device_type

◆ TensorType

template<TensorDataType TPrecision>

using Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >::TensorType = Tensor<TPrecision, MR>

◆ UnaryOperationBase

template<TensorDataType TPrecision>

using Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >::UnaryOperationBase = UnaryOperation<DeviceType::Cuda, TPrecision>

Constructor & Destructor Documentation

◆ CudaSwigluOp()

template<TensorDataType TPrecision>

Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >::CudaSwigluOp	(	IExecutionContext *	context,
		const SwigluConfig &	config )

inline

Member Function Documentation

◆ backward()

template<TensorDataType TPrecision>

void Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >::backward	(	const ITensor &	input,
		const ITensor &	output_grad,
		ITensor &	input_grad ) const

inlineoverridevirtual

Backward pass: compute gradient wrt input given output gradient.

Signature ordered as (input, output_grad, input_grad) to match module and operation implementations across the codebase.

Implements Mila::Dnn::Compute::UnaryOperation< DeviceType::Cuda, TPrecision >.

◆ forward()

template<TensorDataType TPrecision>

void Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >::forward	(	const ITensor &	input,
		ITensor &	output ) const

inlineoverridevirtual

Forward pass: compute output = f(input).

Implementations should accept polymorphic ITensor references and may use the typed aliases / helpers to obtain typed tensor references.

Implements Mila::Dnn::Compute::UnaryOperation< DeviceType::Cuda, TPrecision >.

◆ getName()

template<TensorDataType TPrecision>

std::string Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >::getName ( ) const

inlineoverridevirtual

Human-readable operation name.

Implements Mila::Dnn::Compute::Operation< TDeviceType, TInput >.

◆ getOperationType()

template<TensorDataType TPrecision>

OperationType Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >::getOperationType ( ) const

inlineoverridevirtual

Operation type identifier.

Implements Mila::Dnn::Compute::Operation< TDeviceType, TInput >.

Member Data Documentation

◆ config_

template<TensorDataType TPrecision>

SwigluConfig Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >::config_

private

◆ context_

template<TensorDataType TPrecision>

CudaExecutionContext* Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >::context_

private

◆ impl_

template<TensorDataType TPrecision>

Detail::cuda_swiglu_impl<NativeType> Mila::Dnn::Compute::Cuda::Swiglu::CudaSwigluOp< TPrecision >::impl_

private

The documentation for this class was generated from the following file:

/__w/Mila/Mila/Mila/Src/Dnn/Compute/Devices/Cuda/Operations/Activations/Swiglu/CudaSwigluOp.ixx

Public Types

Public Member Functions

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ CudaExecutionContext

◆ MR

◆ NativeType

◆ TensorType

◆ UnaryOperationBase

Constructor & Destructor Documentation

◆ CudaSwigluOp()

Member Function Documentation

◆ backward()

◆ forward()

◆ getName()

◆ getOperationType()

Member Data Documentation

◆ config_

◆ context_

◆ impl_