#include <sdfg/data_flow/library_nodes/math/tensor/reduce_ops/softmax_node.h>

Inheritance diagram for sdfg::math::tensor::SoftmaxNode:

Public Member Functions
	SoftmaxNode (size_t element_id, const DebugInfo &debug_info, const graph::Vertex vertex, data_flow::DataFlowGraph &parent, const std::vector< symbolic::Expression > &shape, const std::vector< int64_t > &axes, bool keepdims=false)
void	validate (const Function &function) const override
	Validate the code node's configuration.
passes::LibNodeExpander::ExpandOutcome	expand (passes::LibNodeExpander::ExpandContext &context, Block &block) override
	Expand into nested maps with reduction logic.
bool	expand_reduction (passes::LibNodeExpander::AccessNodeExpand &expansion, builder::StructuredSDFGBuilder &builder, structured_control_flow::Sequence &body, const types::Tensor &input_type, const types::Tensor &output_type, const data_flow::Subset &input_subset, const data_flow::Subset &output_subset) override
	Generate the actual reduction code.
std::string	identity (types::PrimitiveType primitive_type) const override
	Get the identity value for this reduction.
bool	supports_integer_types () const override
	Check if this operation supports integer types.
std::unique_ptr< data_flow::DataFlowNode >	clone (size_t element_id, const graph::Vertex vertex, data_flow::DataFlowGraph &parent) const override
	Clone this node for graph transformations.
Public Member Functions inherited from sdfg::math::tensor::ReduceNode
	ReduceNode (size_t element_id, const DebugInfo &debug_info, const graph::Vertex vertex, data_flow::DataFlowGraph &parent, const data_flow::LibraryNodeCode &code, const std::vector< symbolic::Expression > &shape, const std::vector< int64_t > &axes, bool keepdims)
	Construct a reduction node.
const std::vector< symbolic::Expression > &	shape () const
	Get the input tensor shape.
const std::vector< int64_t > &	axes () const
	Get the reduction axes.
bool	keepdims () const
	Check if reduced dimensions are kept.
symbolic::SymbolSet	symbols () const override
	Get all symbols used in this node.
void	replace (const symbolic::Expression old_expression, const symbolic::Expression new_expression) override
void	replace (const symbolic::ExpressionMapping &replacements) override
virtual std::optional< structured_control_flow::ReductionOperation >	reduction_operation () const
	Get the ReductionOperation for this reduction.
data_flow::PointerAccessType	pointer_access_type (int input_idx) const override
	Describes what a pointer is used for.
std::string	toStr () const override
	Convert node to string representation.
Public Member Functions inherited from sdfg::math::tensor::TensorNode
	TensorNode (size_t element_id, const DebugInfo &debug_info, const graph::Vertex vertex, data_flow::DataFlowGraph &parent, const data_flow::LibraryNodeCode &code, const std::vector< std::string > &outputs, const std::vector< std::string > &inputs, const data_flow::ImplementationType &impl_type)
	Construct a tensor node.
virtual void	verify_data_types (const data_flow::DataFlowGraph &graph) const
	Called as part of validate.
void	validate (const Function &function) const override
	Validate tensor node constraints.
types::PrimitiveType	primitive_type (const data_flow::DataFlowGraph &graph) const
	Get the primitive type of this tensor operation.
Public Member Functions inherited from sdfg::math::MathNode
	MathNode (size_t element_id, const DebugInfo &debug_info, const graph::Vertex vertex, data_flow::DataFlowGraph &parent, const data_flow::LibraryNodeCode &code, const std::vector< std::string > &outputs, const std::vector< std::string > &inputs, const data_flow::ImplementationType &implementation_type, bool side_effects=false)
	Construct a mathematical library node.
Public Member Functions inherited from sdfg::data_flow::LibraryNode
	LibraryNode (const LibraryNode &data_node)=delete
LibraryNode &	operator= (const LibraryNode &)=delete
virtual	~LibraryNode ()=default
ElementType	type_id () const override
	Returns the type of the element.
const LibraryNodeCode &	code () const
	Get the operation code.
const ImplementationType &	implementation_type () const
	Get the implementation type (const).
ImplementationType &	implementation_type ()
	Get the implementation type (mutable).
void	set_implementation_type (const ImplementationType &impl_type)
bool	side_effect () const override
	Check if this node has side effects.
virtual symbolic::Expression	flop () const
	Calculate floating point operations for this node.
PointerAccessType	pointer_access_type (const Memlet &edge) const
virtual bool	relocalize_operand (int input_idx, const math::tensor::TensorLayout &packed)
	Repoint the operand at `input_idx` to a locally staged buffer.
virtual bool	can_relocalize_operand (int input_idx, const math::tensor::TensorLayout &packed) const
	Side-effect-free predicate mirroring relocalize_operand: whether the operand at `input_idx` can be repointed at the buffer view `packed`.
virtual std::optional< SubgroupAccess >	operand_access (int input_idx, unsigned subgroup_size) const
	The elements one subgroup of `subgroup_size` lanes reads from the operand at `input_idx`, if the node declares them.
EdgeRemoveOption	can_remove_out_edge (const data_flow::DataFlowGraph &graph, const Memlet *memlet) const override
	Is the edge in question removable, or will this make the node its an output on invalid?
EdgeRemoveOption	can_remove_in_edge (const data_flow::DataFlowGraph &graph, const Memlet *memlet) const override
bool	pointer_use_creates_side_effects (const DataFlowGraph &dataflow, const Function &func)
Public Member Functions inherited from sdfg::data_flow::CodeNode
	CodeNode (const CodeNode &data_node)=delete
CodeNode &	operator= (const CodeNode &)=delete
const std::vector< std::string > &	outputs () const
	Get output connector names (const).
const std::vector< std::string > &	inputs () const
	Get input connector names (const).
std::vector< std::string > &	outputs ()
	Get output connector names (mutable).
std::vector< std::string > &	inputs ()
	Get input connector names (mutable).
const std::string &	output (size_t index) const
	Get output connector name by index.
const std::string &	input (size_t index) const
	Get input connector name by index.
bool	has_constant_input (size_t index) const
	Check if an input is connected to a constant node.
Public Member Functions inherited from sdfg::data_flow::DataFlowNode
	DataFlowNode (const DataFlowNode &data_node)=delete
DataFlowNode &	operator= (const DataFlowNode &)=delete
graph::Vertex	vertex () const
	Get the graph vertex for this node.
const DataFlowGraph &	get_parent () const
	Get the parent dataflow graph (const).
DataFlowGraph &	get_parent ()
	Get the parent dataflow graph (mutable).
virtual bool	update_edge_removed (const std::string &out_conn)
Public Member Functions inherited from sdfg::Element
	Element (size_t element_id, const DebugInfo &debug_info)
virtual	~Element ()=default
size_t	element_id () const
const DebugInfo &	debug_info () const
void	set_debug_info (const DebugInfo &debug_info)
void	add_metadata (const std::string &key, const std::string &value)
void	remove_metadata (const std::string &key)
const std::string &	metadata (const std::string &key) const
const std::string *	metadata_if_exists (const std::string &key) const
const std::unordered_map< std::string, std::string > &	metadata () const
std::string_view	element_type () const
	Returns the type of the element as a human-readable string.

Additional Inherited Members
Static Public Member Functions inherited from sdfg::data_flow::LibraryNode
static bool	classof (const Element &element)
Static Public Member Functions inherited from sdfg::data_flow::CodeNode
static bool	classof (const Element &element)
	LLVM-style RTTI predicate: true if `element` is a CodeNode.
Static Public Member Functions inherited from sdfg::data_flow::DataFlowNode
static bool	classof (const Element &element)
	LLVM-style RTTI predicate: true if `element` is a DataFlowNode.
Static Public Attributes inherited from sdfg::math::tensor::ReduceNode
static auto constexpr	RESULT_PTR_IDX = 0
static auto constexpr	X_INPUT_IDX = 1
Static Public Attributes inherited from sdfg::data_flow::CodeNode
static constexpr ElementType	TypeGroup = ElementType::Tasklet \| ElementType::LibraryNode
	Bitmask of all concrete ElementTypes that are CodeNodes.
Static Public Attributes inherited from sdfg::data_flow::DataFlowNode
static constexpr ElementType	TypeGroup
	Bitmask of all concrete ElementTypes that are DataFlowNodes.
Protected Member Functions inherited from sdfg::math::tensor::ReduceNode
virtual passes::LibNodeExpander::ExpandOutcome	expand_inner (passes::LibNodeExpander::AccessNodeExpand &expansion, structured_control_flow::Block &block, const data_flow::Memlet iedge_input, const data_flow::Memlet iedge_result, const std::vector< symbolic::Expression > &output_shape, const std::vector< int64_t > &sorted_axes)
Protected Member Functions inherited from sdfg::math::tensor::TensorNode
void	validate_shape_matches (const std::vector< symbolic::Expression > &required_shape, const TensorLayout &layout, const std::string &name) const
Protected Member Functions inherited from sdfg::data_flow::LibraryNode
	LibraryNode (size_t element_id, const DebugInfo &debug_info, const graph::Vertex vertex, DataFlowGraph &parent, const LibraryNodeCode &code, const std::vector< std::string > &outputs, const std::vector< std::string > &inputs, const bool side_effect, const ImplementationType &implementation_type)
	Protected constructor for library nodes.
Protected Member Functions inherited from sdfg::data_flow::CodeNode
	CodeNode (size_t element_id, const DebugInfo &debug_info, const graph::Vertex vertex, DataFlowGraph &parent, const std::vector< std::string > &outputs, const std::vector< std::string > &inputs)
	Protected constructor for code nodes.
Protected Member Functions inherited from sdfg::data_flow::DataFlowNode
	DataFlowNode (size_t element_id, const DebugInfo &debug_info, const graph::Vertex vertex, DataFlowGraph &parent)
	Protected constructor for dataflow nodes.
Static Protected Member Functions inherited from sdfg::math::tensor::TensorNode
static data_flow::TaskletCode	get_integer_minmax_tasklet (types::PrimitiveType prim_type, bool is_max)
	Get the appropriate tasklet code for min/max operations on integers.
Protected Attributes inherited from sdfg::math::tensor::ReduceNode
std::vector< symbolic::Expression >	shape_
	Input tensor shape.
std::vector< int64_t >	axes_
	Axes to reduce over.
bool	keepdims_
	Whether to keep reduced dimensions with size 1.
Protected Attributes inherited from sdfg::data_flow::LibraryNode
LibraryNodeCode	code_
	Operation identifier (e.g., "GEMM", "Add").
bool	side_effect_
	Whether this node has side effects.
ImplementationType	implementation_type_
	How to implement this node.
Protected Attributes inherited from sdfg::data_flow::CodeNode
std::vector< std::string >	outputs_
	Names of output connectors.
std::vector< std::string >	inputs_
	Names of input connectors.
Protected Attributes inherited from sdfg::Element
size_t	element_id_
DebugInfo	debug_info_
std::unordered_map< std::string, std::string >	metadata_

Constructor & Destructor Documentation

◆ SoftmaxNode()

sdfg::math::tensor::SoftmaxNode::SoftmaxNode	(	size_t	element_id,
		const DebugInfo &	debug_info,
		const graph::Vertex	vertex,
		data_flow::DataFlowGraph &	parent,
		const std::vector< symbolic::Expression > &	shape,
		const std::vector< int64_t > &	axes,
		bool	keepdims = false )

Member Function Documentation

◆ clone()

std::unique_ptr< data_flow::DataFlowNode > sdfg::math::tensor::SoftmaxNode::clone	(	size_t	element_id,
		const graph::Vertex	vertex,
		data_flow::DataFlowGraph &	parent ) const

overridevirtual

Clone this node for graph transformations.

Parameters

element_id	New element identifier for the clone
vertex	New graph vertex for the clone
parent	Parent graph for the clone

Returns: Unique pointer to the cloned node

Pure virtual function that must be implemented by derived classes to support graph transformations and optimizations.

Implements sdfg::data_flow::DataFlowNode.

◆ expand()

passes::LibNodeExpander::ExpandOutcome sdfg::math::tensor::SoftmaxNode::expand	(	passes::LibNodeExpander::ExpandContext &	context,
		Block &	block )

overridevirtual

Expand into nested maps with reduction logic.

Creates maps over non-reduced dimensions and reduction loops over reduced dimensions with appropriate initialization and accumulation.

Parameters

context	way to request isolation of node or add new blocks, loops etc.
block	the block in which the node is contained

Returns: outcome of expand, created by context

Reimplemented from sdfg::math::tensor::ReduceNode.

◆ expand_reduction()

bool sdfg::math::tensor::SoftmaxNode::expand_reduction	(	passes::LibNodeExpander::AccessNodeExpand &	expansion,
		builder::StructuredSDFGBuilder &	builder,
		structured_control_flow::Sequence &	body,
		const types::Tensor &	input_type,
		const types::Tensor &	output_type,
		const data_flow::Subset &	input_subset,
		const data_flow::Subset &	output_subset )

overridevirtual

Generate the actual reduction code.

Subclasses implement this to generate the specific reduction (sum, max, etc.)

Parameters

builder	SDFG builder
analysis_manager	Analysis manager
body	Sequence to add the reduction to
input_name	Input data name
output_name	Output data name
input_type	Input data type
output_type	Output data type
input_subset	Input data subset
output_subset	Output data subset

Returns: True if reduction generation succeeded

Implements sdfg::math::tensor::ReduceNode.

◆ identity()

std::string sdfg::math::tensor::SoftmaxNode::identity ( types::PrimitiveType primitive_type ) const

inlineoverridevirtual

Get the identity value for this reduction.

The identity value is used to initialize the accumulator. Examples:

Sum: "0"
Product: "1"
Max: "-inf" or minimum value
Min: "inf" or maximum value

Parameters

primitive_type The primitive type of the reduction element

Returns: Identity value as string expression

Implements sdfg::math::tensor::ReduceNode.

◆ supports_integer_types()

bool sdfg::math::tensor::SoftmaxNode::supports_integer_types ( ) const

inlineoverridevirtual

Check if this operation supports integer types.

Operations like add, sub, mul, div, min, max support both floating-point and integer types. Operations like exp, log, tanh, sigmoid only support floating-point types.

Returns: true if integer types are supported, false otherwise

Implements sdfg::math::tensor::TensorNode.

◆ validate()

void sdfg::math::tensor::SoftmaxNode::validate ( const Function & function ) const

overridevirtual

Validate the code node's configuration.

Parameters

function Function context for validation

Ensures that:

No two access nodes connect to the same data for inputs/outputs

Reimplemented from sdfg::math::tensor::ReduceNode.

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

sdfg/include/sdfg/data_flow/library_nodes/math/tensor/reduce_ops/softmax_node.h

Public Member Functions

Additional Inherited Members

Constructor & Destructor Documentation

◆ SoftmaxNode()

Member Function Documentation

◆ clone()

◆ expand()

◆ expand_reduction()

◆ identity()

◆ supports_integer_types()

◆ validate()