#include <node.hpp>

Inheritance diagram for ngraph::Node:

[legend]

Collaboration diagram for ngraph::Node:

Public Types
using	type_info_t = DiscreteTypeInfo

using	RTMap = std::map< std::string, std::shared_ptr< Variant > >

Public Member Functions
virtual void	validate_and_infer_types ()
	Verifies that attributes and inputs are consistent and computes output shapes and element types. Must be implemented by concrete child classes so that it can be run any number of times. More...

void	constructor_validate_and_infer_types ()

virtual bool	visit_attributes (AttributeVisitor &)

virtual const op::AutoBroadcastSpec &	get_autob () const

virtual bool	evaluate (const HostTensorVector &output_values, const HostTensorVector &input_values) const
	Evaluates the op on input_values putting results in output_values. More...

virtual bool	evaluate_lower (const HostTensorVector &output_values) const

virtual bool	evaluate_upper (const HostTensorVector &output_values) const

virtual bool	constant_fold (OutputVector &output_values, const OutputVector &inputs_values)

virtual OutputVector	decompose_op () const
	Decomposes the FusedOp into a sub-graph consisting of core ngraph ops. More...

virtual const type_info_t &	get_type_info () const =0

const char *	get_type_name () const

void	set_arguments (const NodeVector &arguments)
	Sets/replaces the arguments with new arguments.

void	set_arguments (const OutputVector &arguments)
	Sets/replaces the arguments with new arguments.

void	set_argument (size_t position, const Output< Node > &argument)
	Sets/replaces the arguments with new arguments.

void	set_output_type (size_t i, const element::Type &element_type, const PartialShape &pshape)

void	set_output_size (size_t output_size)
	Sets the number of outputs.

void	invalidate_values ()

virtual void	revalidate_and_infer_types ()

virtual std::string	description () const
	Get the string name for the type of the node, such as `Add` or `Multiply`. The class name, must not contain spaces as it is used for codegen. More...

const std::string &	get_name () const
	Get the unique name of the node. More...

void	set_friendly_name (const std::string &name)
	Sets a friendly name for a node. This does not overwrite the unique name of the node and is retrieved via get_friendly_name(). Used mainly for debugging. The friendly name may be set exactly once. More...

const std::string &	get_friendly_name () const
	Gets the friendly name for a node. If no friendly name has been set via set_friendly_name then the node's unique name is returned. More...

virtual bool	is_dynamic () const

size_t	get_instance_id () const

virtual std::ostream &	write_description (std::ostream &os, uint32_t depth=0) const
	Writes a description of a node to a stream. More...

const std::vector< std::shared_ptr< Node > > &	get_control_dependencies () const
	Get control dependencies registered on the node.

const std::vector< Node * > &	get_control_dependents () const
	Get nodes dependent on this node.

void	add_control_dependency (std::shared_ptr< Node > node)
	This node cannot execute until node executes.

void	remove_control_dependency (std::shared_ptr< Node > node)
	Remove the dependency of this node on node.

void	clear_control_dependencies ()
	Remove all dependencies from this node.

void	clear_control_dependents ()
	Remove this node as a dependency from all dependent nodes.

void	add_node_control_dependencies (std::shared_ptr< Node > source_node)
	This node absorbs the control dependencies of source_node.

void	add_node_control_dependents (std::shared_ptr< Node > source_node)
	This node becomes a dependent of every node dependent on source_node.

void	transfer_control_dependents (std::shared_ptr< Node > replacement)
	This node's control dependencies are replaced by replacement.

size_t	get_output_size () const
	Returns the number of outputs from the node.

const element::Type &	get_output_element_type (size_t i) const
	Returns the element type for output i.

const element::Type &	get_element_type () const
	Checks that there is exactly one output and returns its element type.

const Shape &	get_output_shape (size_t i) const
	Returns the shape for output i.

const PartialShape &	get_output_partial_shape (size_t i) const
	Returns the partial shape for output i.

Output< const Node >	get_default_output () const

Output< Node >	get_default_output ()

virtual size_t	get_default_output_index () const
	Returns the output of the default output, or throws if there is none.

size_t	no_default_index () const
	Throws no default.

const Shape &	get_shape () const
	Checks that there is exactly one output and returns its shape.

descriptor::Tensor &	get_output_tensor (size_t i) const
	Returns the tensor for output or input i.

descriptor::Tensor &	get_input_tensor (size_t i) const

size_t	get_input_size () const
	Returns the number of inputs for the op.

const element::Type &	get_input_element_type (size_t i) const
	Returns the element type of input i.

const Shape &	get_input_shape (size_t i) const
	Returns the shape of input i.

const PartialShape &	get_input_partial_shape (size_t i) const
	Returns the partial shape of input i.

Node *	get_input_node_ptr (size_t index) const

std::shared_ptr< Node >	get_input_node_shared_ptr (size_t index) const

Output< Node >	get_input_source_output (size_t i) const

virtual std::shared_ptr< Node >	clone_with_new_inputs (const OutputVector &inputs) const =0

std::shared_ptr< Node >	copy_with_new_inputs (const OutputVector &new_args) const

std::shared_ptr< Node >	copy_with_new_inputs (const OutputVector &inputs, const std::vector< std::shared_ptr< Node >> &control_dependencies) const

bool	has_same_type (std::shared_ptr< const Node > node) const
	True if this and node have one output with same element type and shape.

RTMap &	get_rt_info ()

const RTMap &	get_rt_info () const

const std::unordered_set< std::string > &	get_provenance_tags () const

void	add_provenance_tag (const std::string &tag)

template<typename T >
void	add_provenance_tags (T tag_set)

void	add_provenance_tags_above (const OutputVector &base, const std::unordered_set< std::string > &tag_set)
	Adds tag_set to this node and all intermediate nodes above base.

void	remove_provenance_tag (const std::string &tag)

void	add_provenance_group_member (const std::shared_ptr< Node > &node)
	Add node to additional nodes that receive tags.

void	remove_provenance_group_member (const std::shared_ptr< Node > &node)
	Remove node to additional nodes that receive tags.

void	replace_provenance_group_member (const std::shared_ptr< Node > &current_node, const std::shared_ptr< Node > &replacement_node)
	Replace current_node with replacement_node and transfer tags.

const std::set< std::shared_ptr< Node > > &	get_provenance_group_members () const

std::shared_ptr< Node >	add_provenance_group_members_above (const OutputVector &base)
	Add all nodes between this node and nodes in base as additional nodes to receive provenance tags.

void	merge_provenance_tags_from (const std::shared_ptr< const Node > &source)

void	transfer_provenance_tags (const std::shared_ptr< Node > &replacement)
	Transfer provenance tags to replacement.

NodeVector	get_users (bool check_is_used=false) const
	Get all the nodes that uses the current node.

virtual size_t	get_version () const

virtual std::shared_ptr< Node >	get_default_value () const

bool	operator< (const Node &other) const
	Use instance ids for comparison instead of memory addresses to improve determinism.

std::vector< Input< Node > >	inputs ()

std::vector< Input< const Node > >	inputs () const

std::vector< Output< Node > >	input_values () const

std::vector< Output< Node > >	outputs ()

std::vector< Output< const Node > >	outputs () const

Input< Node >	input (size_t input_index)

Input< const Node >	input (size_t input_index) const

Output< Node >	input_value (size_t input_index) const

Output< Node >	output (size_t output_index)

Output< const Node >	output (size_t output_index) const

void	set_op_annotations (std::shared_ptr< ngraph::op::util::OpAnnotations > op_annotations)

std::shared_ptr< ngraph::op::util::OpAnnotations >	get_op_annotations () const

virtual bool	match_value (pattern::Matcher *matcher, const Output< Node > &pattern_value, const Output< Node > &graph_value)

virtual bool	match_node (pattern::Matcher *matcher, const Output< Node > &graph_value)

Data Fields
NGRAPH_DEPRECATED("The tensor name was deprecated. Use get_input_tensor(i).get_names() instead.") const std std::unordered_set< descriptor::Tensor * >	liveness_new_list
	Returns the tensor name for input i.

std::unordered_set< descriptor::Tensor * >	liveness_free_list

Protected Member Functions
	Node ()=default
	Construct an unitialized Node.

	Node (const Node &)
	Copying a node.

Node &	operator= (const Node &)
	Assignment operator.

	Node (size_t output_size)
	Construct an unitialized Node. More...

	Node (const OutputVector &arguments, size_t output_size=1)
	Constructor for Node subclasses that have metaclasses. More...

void	safe_delete (NodeVector &nodes, bool recurse)
	Moves nodes that would be deleted from inputs to nodes to avoid stack overflows on deep networks.

void	set_input_is_relevant_to_shape (size_t i, bool relevant=true)
	Marks an input as being relevant or irrelevant to the output shapes of this node. More...

void	set_input_is_relevant_to_value (size_t i, bool relevant=true)
	Marks an input as being relevant or irrelevant to the output values of this node. More...

Friends
class	descriptor::Input

template<typename NodeType >
class	Input

template<typename NodeType >
class	Output

Detailed Description

Nodes are the backbone of the graph of Value dataflow. Every node has zero or more nodes as arguments and one value, which is either a tensor or a (possibly empty) tuple of values.

Constructor & Destructor Documentation

◆ Node() [1/2]

ngraph::Node::Node ( size_t output_size )

protected

Construct an unitialized Node.

Parameters

output_size Number of outputs for this node

◆ Node() [2/2]

ngraph::Node::Node	(	const OutputVector &	arguments,
		size_t	output_size = `1`
	)

protected

Constructor for Node subclasses that have metaclasses.

Parameters

arguments	Output i will connect to input i
output_size	Number of outputs for this node

Member Function Documentation

◆ decompose_op()

virtual OutputVector ngraph::Node::decompose_op ( ) const

inlinevirtual

Decomposes the FusedOp into a sub-graph consisting of core ngraph ops.

Returns: A vector of nodes comprising the sub-graph. The order of output tensors must match the match output tensors of the FusedOp

◆ description()

virtual std::string ngraph::Node::description ( ) const

virtual

Get the string name for the type of the node, such as Add or Multiply. The class name, must not contain spaces as it is used for codegen.

Returns: A const reference to the node's type name

◆ evaluate()

virtual bool ngraph::Node::evaluate	(	const HostTensorVector &	output_values,
		const HostTensorVector &	input_values
	)		const

virtual

Evaluates the op on input_values putting results in output_values.

Returns: true if successful

Reimplemented in ngraph::op::v0::Xor, ngraph::op::v1::LogicalXor, ngraph::op::v1::VariadicSplit, ngraph::op::util::BroadcastBase, ngraph::op::v0::Unsqueeze, ngraph::op::v1::Transpose, ngraph::op::v3::TopK, ngraph::op::v1::TopK, ngraph::op::v0::Tile, ngraph::op::v0::Tanh, ngraph::op::v0::Tan, ngraph::op::v4::Swish, ngraph::op::v1::Subtract, ngraph::op::v0::Sqrt, ngraph::op::v1::Split, ngraph::op::v0::SpaceToDepth, ngraph::op::v1::SpaceToBatch, ngraph::op::v4::SoftPlus, ngraph::op::v1::Softmax, ngraph::op::v0::Sinh, ngraph::op::v0::Sin, ngraph::op::v0::Sign, ngraph::op::v0::Sigmoid, ngraph::op::v0::ShuffleChannels, ngraph::op::v3::ScatterUpdate, ngraph::op::v3::ScatterElementsUpdate, ngraph::op::v5::Round, ngraph::op::v3::ROIAlign, ngraph::op::v1::Reverse, ngraph::op::v0::Result, ngraph::op::v1::Reshape, ngraph::op::v0::Relu, ngraph::op::v1::ReduceSum, ngraph::op::v1::ReduceProd, ngraph::op::v1::ReduceMean, ngraph::op::v1::ReduceLogicalOr, ngraph::op::v1::ReduceLogicalAnd, ngraph::op::v4::ReduceL2, ngraph::op::v4::ReduceL1, ngraph::op::v0::Range, ngraph::op::v4::Range, ngraph::op::v0::PriorBoxClustered, ngraph::op::v0::PriorBox, ngraph::op::v1::Power, ngraph::op::v1::Pad, ngraph::op::v1::LogicalOr, ngraph::op::v1::NotEqual, ngraph::op::v1::LogicalNot, ngraph::op::v3::NonZero, ngraph::op::v0::Negative, ngraph::op::v1::Multiply, ngraph::op::v4::Mish, ngraph::op::v1::Minimum, ngraph::op::v1::ReduceMin, ngraph::op::v1::Maximum, ngraph::op::v1::MaxPool, ngraph::op::v1::ReduceMax, ngraph::op::v0::MatMul, ngraph::op::v5::Loop, ngraph::op::v0::Log, ngraph::op::v1::LessEqual, ngraph::op::v1::Less, ngraph::op::v4::Interpolate, ngraph::op::v4::HSwish, ngraph::op::v5::HSigmoid, ngraph::op::v1::GreaterEqual, ngraph::op::v1::Greater, ngraph::op::v1::Gather, ngraph::op::v1::FloorMod, ngraph::op::v0::Floor, ngraph::op::v0::Exp, ngraph::op::v0::Erf, ngraph::op::v1::Equal, ngraph::op::v1::Divide, ngraph::op::v0::DepthToSpace, ngraph::op::v0::Cosh, ngraph::op::v0::Cos, ngraph::op::v0::Convert, ngraph::op::v0::Constant, ngraph::op::v0::Concat, ngraph::op::v0::Ceiling, ngraph::op::v1::Broadcast, ngraph::op::v3::Broadcast, ngraph::op::v1::BatchToSpace, ngraph::op::v3::Atanh, ngraph::op::v0::Atan, ngraph::op::v3::Asinh, ngraph::op::v0::Asin, ngraph::op::v1::LogicalAnd, ngraph::op::v1::Add, ngraph::op::v3::Acosh, ngraph::op::v0::Acos, ngraph::op::v0::Abs, ngraph::op::v1::StridedSlice, ngraph::op::v0::ShapeOf, ngraph::op::v3::ShapeOf, ngraph::op::v1::Select, and ngraph::op::v1::OneHot.

◆ get_autob()

virtual const op::AutoBroadcastSpec& ngraph::Node::get_autob ( ) const

virtual

Returns: the autobroadcasr spec

Reimplemented in ngraph::op::util::BinaryElementwiseLogical, ngraph::op::util::BinaryElementwiseComparison, ngraph::op::util::BinaryElementwiseArithmetic, and ngraph::op::v1::Select.

◆ get_default_output()

Output<const Node> ngraph::Node::get_default_output ( ) const

Return the output to use when converting to an Output<Node> with no index specified. Throws when not supported.

◆ get_friendly_name()

const std::string& ngraph::Node::get_friendly_name ( ) const

Gets the friendly name for a node. If no friendly name has been set via set_friendly_name then the node's unique name is returned.

Returns: A const reference to the node's friendly name.

◆ get_name()

const std::string& ngraph::Node::get_name ( ) const

Get the unique name of the node.

Returns: A const reference to the node's unique name.

◆ get_provenance_group_members()

const std::set<std::shared_ptr<Node> >& ngraph::Node::get_provenance_group_members ( ) const

Returns: Provenance group nodes

◆ get_type_info()

virtual const type_info_t& ngraph::Node::get_type_info ( ) const

pure virtual

Returns the NodeTypeInfo for the node's class. During transition to type_info, returns a dummy type_info for Node if the class has not been updated yet.

Implemented in ngraph::pattern::op::WrapType, ngraph::pattern::op::True, ngraph::pattern::op::Skip, ngraph::pattern::op::Or, ngraph::pattern::op::Label, ngraph::pattern::op::Capture, ngraph::pattern::op::Branch, ngraph::pattern::op::AnyOutput, ngraph::pattern::op::AnyOf, ngraph::pattern::op::Any, ngraph::op::v0::Xor, ngraph::op::util::ScatterNDBase, ngraph::op::util::ScatterBase, ngraph::op::util::EmbeddingBagPackedBase, ngraph::op::util::EmbeddingBagOffsetsBase, ngraph::op::v3::TopK, ngraph::op::v1::TopK, ngraph::op::v0::Tile, ngraph::op::v0::TensorIterator, ngraph::op::v0::Tanh, ngraph::op::v0::Tan, ngraph::op::v4::Swish, ngraph::op::v0::Sqrt, ngraph::op::v0::SpaceToDepth, ngraph::op::v1::SpaceToBatch, ngraph::op::v1::Softmax, ngraph::op::v0::Sinh, ngraph::op::v0::Sin, ngraph::op::v0::Sign, ngraph::op::v0::Sigmoid, ngraph::op::v0::ShuffleChannels, ngraph::op::v3::ShapeOf, ngraph::op::v3::ScatterUpdate, ngraph::op::v3::ScatterNDUpdate, ngraph::op::v3::ScatterElementsUpdate, ngraph::op::v0::ROIPooling, ngraph::op::v3::ROIAlign, ngraph::op::v0::RNNCell, ngraph::op::v0::ReverseSequence, ngraph::op::v1::Reverse, ngraph::op::v0::Result, ngraph::op::v0::ReorgYolo, ngraph::op::v0::RegionYolo, ngraph::op::v1::ReduceSum, ngraph::op::v1::ReduceProd, ngraph::op::v1::ReduceMean, ngraph::op::v4::ReduceL2, ngraph::op::v4::ReduceL1, ngraph::op::v0::Range, ngraph::op::v0::PSROIPooling, ngraph::op::v0::PriorBoxClustered, ngraph::op::v0::PriorBox, ngraph::op::v1::Power, ngraph::op::v0::Parameter, ngraph::op::v1::Pad, ngraph::op::v1::OneHot, ngraph::op::v3::NonZero, ngraph::op::v4::NonMaxSuppression, ngraph::op::v3::NonMaxSuppression, ngraph::op::v1::NonMaxSuppression, ngraph::op::v0::Negative, ngraph::op::v4::Mish, ngraph::op::v1::Minimum, ngraph::op::v1::ReduceMin, ngraph::op::v1::Maximum, ngraph::op::v1::ReduceMax, ngraph::op::v4::LSTMCell, ngraph::op::v0::LSTMCell, ngraph::op::v0::LRN, ngraph::op::v0::Log, ngraph::op::v3::GRUCell, ngraph::op::v1::GroupConvolutionBackpropData, ngraph::op::v1::GatherTree, ngraph::op::v1::Gather, ngraph::op::v1::FloorMod, ngraph::op::v0::Floor, ngraph::op::v3::ExtractImagePatches, ngraph::op::v0::Exp, ngraph::op::v0::Erf, ngraph::op::v3::EmbeddingBagPackedSum, ngraph::op::v3::EmbeddingBagOffsetsSum, ngraph::op::v3::EmbeddingSegmentsSum, ngraph::op::v0::Elu, ngraph::op::v0::DetectionOutput, ngraph::op::v1::DeformablePSROIPooling, ngraph::op::v1::DeformableConvolution, ngraph::op::v0::CumSum, ngraph::op::v4::CTCLoss, ngraph::op::v0::CTCGreedyDecoder, ngraph::op::v0::Cosh, ngraph::op::v0::Cos, ngraph::op::v1::ConvolutionBackpropData, ngraph::op::v1::ConvertLike, ngraph::op::v0::Constant, ngraph::op::v0::Ceiling, ngraph::op::v3::Bucketize, ngraph::op::v1::Broadcast, ngraph::op::v3::Broadcast, ngraph::op::v1::BinaryConvolution, ngraph::op::v1::BatchToSpace, ngraph::op::v3::Atanh, ngraph::op::v0::Atan, ngraph::op::v3::Asinh, ngraph::op::v0::Asin, ngraph::op::v3::Acosh, ngraph::op::v0::Acos, and ngraph::op::v0::Abs.

◆ get_version()

virtual size_t ngraph::Node::get_version ( ) const

inlinevirtual

Returns: Version of this node

Reimplemented in ngraph::op::v1::TopK, ngraph::op::v1::StridedSlice, ngraph::op::v1::Softmax, ngraph::op::v1::Reverse, ngraph::op::v1::Reshape, ngraph::op::v1::ReduceSum, ngraph::op::v1::ReduceProd, ngraph::op::v1::ReduceMean, ngraph::op::v4::ReduceL2, ngraph::op::v4::ReduceL1, ngraph::op::v1::Pad, ngraph::op::v1::MaxPool, ngraph::op::v5::LogSoftmax, ngraph::op::v1::Divide, ngraph::op::v1::BinaryConvolution, ngraph::op::v1::AvgPool, and ngraph::op::v1::Add.

◆ input() [1/2]

Input<Node> ngraph::Node::input ( size_t input_index )

Returns: A handle to the input_indexth input of this node.

Exceptions

std::out_of_range if the node does not have at least input_index+1 inputs.

◆ input() [2/2]

Input<const Node> ngraph::Node::input ( size_t input_index ) const

Returns: A handle to the input_indexth input of this node.

Exceptions

std::out_of_range if the node does not have at least input_index+1 inputs.

◆ input_values()

std::vector<Output<Node> > ngraph::Node::input_values ( ) const

Returns: A vector containing the values for each input

◆ inputs() [1/2]

std::vector<Input<Node> > ngraph::Node::inputs ( )

Returns: A vector containing a handle for each of this node's inputs, in order.

◆ inputs() [2/2]

std::vector<Input<const Node> > ngraph::Node::inputs ( ) const

Returns: A vector containing a handle for each of this node's inputs, in order.

◆ output() [1/2]

Output<Node> ngraph::Node::output ( size_t output_index )

Returns: A handle to the output_indexth output of this node.

Exceptions

std::out_of_range if the node does not have at least output_index+1 outputs.

◆ output() [2/2]

Output<const Node> ngraph::Node::output ( size_t output_index ) const

Returns: A handle to the output_indexth output of this node.

Exceptions

std::out_of_range if the node does not have at least output_index+1 outputs.

◆ outputs() [1/2]

std::vector<Output<Node> > ngraph::Node::outputs ( )

Returns: A vector containing a handle for each of this node's outputs, in order.

◆ outputs() [2/2]

std::vector<Output<const Node> > ngraph::Node::outputs ( ) const

Returns: A vector containing a handle for each of this node's outputs, in order.

◆ set_friendly_name()

void ngraph::Node::set_friendly_name ( const std::string & name )

Sets a friendly name for a node. This does not overwrite the unique name of the node and is retrieved via get_friendly_name(). Used mainly for debugging. The friendly name may be set exactly once.

Parameters

name	is the friendly name to set

◆ set_input_is_relevant_to_shape()

void ngraph::Node::set_input_is_relevant_to_shape	(	size_t	i,
		bool	relevant = `true`
	)

protected

Marks an input as being relevant or irrelevant to the output shapes of this node.

Parameters

i	The index of the input to mark as relevant or irrelevant.
relevant	true if the input is relevant to output shapes, false otherwise.

This is used by the shape specialization pass to know which nodes must be statically evaluated in order to complete shape specialization. (For example, the shape input of DynReshape must be evaluated statically in order for the output shape to be determined.) By default, all inputs are marked as shape-irrelevant. Overrides of validate_and_infer_types should call this function to mark shape-relevant inputs.

◆ set_input_is_relevant_to_value()

void ngraph::Node::set_input_is_relevant_to_value	(	size_t	i,
		bool	relevant = `true`
	)

protected

Marks an input as being relevant or irrelevant to the output values of this node.

Parameters

i	The index of the input to mark as relevant or irrelevant.
relevant	true if the input is relevant to output values, false otherwise.

This is used by the shape specialization pass to cut short evaluation in cases where an input value does not actually have any effect on the output value of the node. (As of this writing, the only example of this is ShapeOf.) By default, all inputs are marked as value-relevant. Overrides of validate_and_infer_types should call this function to mark value-irrelevant inputs.

◆ validate_and_infer_types()

virtual void ngraph::Node::validate_and_infer_types ( )

virtual

Verifies that attributes and inputs are consistent and computes output shapes and element types. Must be implemented by concrete child classes so that it can be run any number of times.

Throws if the node is invalid.

◆ write_description()

virtual std::ostream& ngraph::Node::write_description	(	std::ostream &	os,
		uint32_t	depth = `0`
	)		const

virtual

Writes a description of a node to a stream.

Parameters

os	The stream; should be returned
depth	How many levels of inputs to describe

Returns: The stream os

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

core/include/ngraph/node.hpp

Public Types

Public Member Functions

Data Fields

Protected Member Functions

Friends

Detailed Description

Constructor & Destructor Documentation

◆ Node() [1/2]

◆ Node() [2/2]

Member Function Documentation

◆ decompose_op()

◆ description()

◆ evaluate()

◆ get_autob()

◆ get_default_output()

◆ get_friendly_name()

◆ get_name()

◆ get_provenance_group_members()

◆ get_type_info()

◆ get_version()

◆ input() [1/2]

◆ input() [2/2]

◆ input_values()

◆ inputs() [1/2]

◆ inputs() [2/2]

◆ output() [1/2]

◆ output() [2/2]

◆ outputs() [1/2]

◆ outputs() [2/2]

◆ set_friendly_name()

◆ set_input_is_relevant_to_shape()

◆ set_input_is_relevant_to_value()

◆ validate_and_infer_types()

◆ write_description()