MayaFlux::Yantra::GpuTransformer< InputType, OutputType > Class Template Reference

Concrete UniversalTransformer that dispatches entirely via a GpuExecutionContext. More...

#include <GpuTransformer.hpp>

Inheritance diagram for MayaFlux::Yantra::GpuTransformer< InputType, OutputType >:

Collaboration diagram for MayaFlux::Yantra::GpuTransformer< InputType, OutputType >:

Public Types
using	input_type = Datum< InputType >
using	output_type = Datum< OutputType >
Public Types inherited from MayaFlux::Yantra::UniversalTransformer< InputType, OutputType >
using	base_type = ComputeOperation< InputType, OutputType >
using	input_type = Datum< InputType >
using	output_type = Datum< OutputType >
Public Types inherited from MayaFlux::Yantra::ComputeOperation< InputType, OutputType >
using	input_type = Datum< InputType >
using	output_type = Datum< OutputType >

Public Member Functions
std::shared_ptr< GpuExecutionContext< InputType, OutputType > >	get_executor () const
	Returns the attached GpuExecutionContext for further configuration.
TransformationType	get_transformation_type () const override
	Gets the transformation type category for this transformer.
std::string	get_transformer_name () const override
	Get transformer-specific name (derived classes override this)
	GpuTransformer (std::shared_ptr< GpuExecutionContext< InputType, OutputType > > executor)
	Construct with a configured GpuExecutionContext.
Public Member Functions inherited from MayaFlux::Yantra::UniversalTransformer< InputType, OutputType >
void	add_transformation_key (const TransformationKey &key)
	Add transformation key for multi-dimensional transformations.
void	clear_transformation_keys ()
	Clear all transformation keys.
virtual double	estimate_computational_cost () const
	Estimates the computational cost of the transformation.
std::map< std::string, std::any >	get_all_parameters () const override
	Gets all parameters as a map.
double	get_intensity () const
	Gets the current transformation intensity.
std::string	get_name () const override
	Gets human-readable name for this transformer.
OperationType	get_operation_type () const override
	Returns the category of this operation for grammar and registry discovery.
std::any	get_parameter (const std::string &name) const override
	Gets a parameter value by name.
TransformationQuality	get_quality () const
	Gets the current transformation quality level.
TransformationScope	get_scope () const
	Gets the current transformation scope.
TransformationStrategy	get_strategy () const
	Gets the current transformation strategy.
const std::vector< TransformationKey > &	get_transformation_keys () const
	Get all transformation keys.
virtual double	get_transformation_progress () const
	Reports the current progress of a long-running transformation.
virtual bool	is_in_place () const
	Indicates whether the transformation modifies the input data directly.
template<ComputeData T>
void	set_custom_function (std::function< T(const T &)> func)
	Set a custom transformation function for mathematical transformations.
void	set_intensity (double intensity)
	Set transformation intensity (0.0 = no transformation, 1.0 = full transformation)
void	set_parameter (const std::string &name, std::any value) override
	Type-safe parameter management with transformation-specific defaults.
void	set_quality (TransformationQuality quality)
	Sets the transformation quality level.
void	set_scope (TransformationScope scope)
	Sets the transformation scope.
void	set_strategy (TransformationStrategy strategy)
	Sets the transformation strategy.
virtual	~UniversalTransformer ()=default
	Virtual destructor for proper inheritance cleanup.
Public Member Functions inherited from MayaFlux::Yantra::ComputeOperation< InputType, OutputType >
void	add_dependency (std::shared_ptr< ComputeOperation > dep)
output_type	apply_operation (const input_type &input)
	Public synchronous execution interface.
output_type	apply_operation_with_dependencies (const input_type &input)
	Applies the operation with dependencies resolved.
OutputType	apply_to_data (const InputType &data)
	Convenience overload that extracts just the data from result.
	ComputeOperation ()
	Constructor with data type validation warnings.
output_type	execute (const input_type &input)
	OpUnit interface - operations can act as units in dependency graphs.
virtual const std::shared_ptr< Kakshya::SignalSourceContainer > &	get_container_for_regions () const
const auto &	get_dependencies () const
const ExecutionContext &	get_last_execution_context () const
bool	has_gpu_backend () const
output_type	operator() (const InputType &data)
	Convenience overload for direct data processing (backward compatibility)
virtual void	set_container_for_regions (const std::shared_ptr< Kakshya::SignalSourceContainer > &container)
void	set_gpu_backend (std::shared_ptr< GpuExecutionContext< InputType, OutputType > > backend)
	Attach a GPU execution backend.
void	set_last_execution_context (const ExecutionContext &ctx)
void	set_post_execution_hook (const OperationHookCallback &hook)
void	set_pre_execution_hook (const OperationHookCallback &hook)
void	set_reconstruction_callback (const ReconstructionCallback &callback)
virtual	~ComputeOperation ()=default
	Virtual destructor for proper cleanup of derived classes.

Protected Member Functions
output_type	transform_implementation (input_type &) override
	Pure virtual transformation implementation - derived classes implement this.
Protected Member Functions inherited from MayaFlux::Yantra::UniversalTransformer< InputType, OutputType >
virtual output_type	apply_scope_and_quality_processing (const output_type &result)
	Apply scope and quality filtering to the transformation result.
std::vector< double >	extract_transformation_parameters (const input_type &input) const
	Helper method to apply transformation keys to extract parameters.
virtual std::any	get_transformation_parameter (const std::string &name) const
	Gets a transformation-specific parameter value.
virtual std::map< std::string, std::any >	get_transformation_parameters () const
	Gets all transformation-specific parameters.
output_type	operation_function (const input_type &input) override
	Core operation implementation - called by ComputeOperation interface.
virtual void	set_transformation_parameter (const std::string &name, std::any value)
	Transformation-specific parameter handling (override for custom parameters)
bool	validate_input (const input_type &input) const override
	Basic input validation that derived classes can override.
Protected Member Functions inherited from MayaFlux::Yantra::ComputeOperation< InputType, OutputType >
output_type	apply_hooks (const input_type &input, const ExecutionContext &context)
virtual std::future< output_type >	apply_operation_async (const input_type &input)
	Optional async implementation - default delegates to operation_function.
virtual output_type	apply_operation_chained (const input_type &input, const ExecutionContext &ctx)
	Optional chain-aware implementation - default delegates to operation_function.
virtual output_type	apply_operation_internal (const input_type &input, const ExecutionContext &context)
	Internal execution method - ComputeMatrix can access this.
virtual output_type	apply_operation_parallel (const input_type &input, const ExecutionContext &ctx)
	Optional parallel-aware implementation - default delegates to operation_function.
output_type	convert_result (std::vector< std::vector< double > > &result_data, DataStructureInfo &metadata)
	Convert processed double data back to OutputType using metadata and optional callback.

Private Attributes
std::shared_ptr< GpuExecutionContext< InputType, OutputType > >	m_executor

Additional Inherited Members
Protected Attributes inherited from MayaFlux::Yantra::ComputeOperation< InputType, OutputType >
std::shared_ptr< Kakshya::SignalSourceContainer >	m_container
ExecutionContext	m_last_execution_context

Detailed Description

template<ComputeData InputType = std::vector<Kakshya::DataVariant>, ComputeData OutputType = InputType>
class MayaFlux::Yantra::GpuTransformer< InputType, OutputType >

Concrete UniversalTransformer that dispatches entirely via a GpuExecutionContext.

CPU path is a hard error.

Use when no CPU fallback exists or is needed. Attach a configured GpuExecutionContext at construction. For operations where a CPU fallback is available, prefer attaching a GpuExecutionContext to an existing concrete transformer via set_gpu_backend() instead.

auto op = std::make_shared<GpuTransformer<>>(
    std::make_shared<GpuExecutionContext<>>(
        GpuShaderConfig { "my_shader.comp", { 256, 1, 1 }, sizeof(MyPC) }));
op->get_executor()->input(data).output(output_bytes).push(pc);
pipeline->add_operation(op, "my_shader");

Template Parameters

InputType	ComputeData type accepted.
OutputType	ComputeData type produced.

Definition at line 31 of file GpuTransformer.hpp.

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

• GpuTransformer.hpp