sdfg::math::tensor Namespace Reference

Classes
class	ArangeNode
	Tensor node that generates a sequence of numbers. More...
class	ArangeNodeSerializer
class	BatchNormNode
	In N, C, D0...Dn tensor, applies normalization to per channel in C across all the inner dimensions. More...
class	BatchNormNodeSerializer
class	BroadcastNode
class	BroadcastNodeSerializer
class	ClampNode
	Computes Y = min(max(X, min), max) elementwise, where either bound may be omitted. More...
class	ClampNodeSerializer
class	ConcatNode
	Tensor concatenation node that can concatenate a number of tensors into another tensor. More...
class	ConcatNodeSerializer
class	ConditionalTensorCopyNode
	Conditional tensor copy node that copies values from one tensor or another depending on a tensor mask. More...
class	ConditionalTensorCopyNodeSerializer
class	ConstPaddingNode
	Applies padding by a constant value. More...
class	ConstPaddingNodeSerializer
class	ConvNode
	Convolution operation following ONNX Conv operator specification. More...
class	ConvNodeSerializer
	Serializer for ConvNode. More...
class	TensorCopyNode
	Tensor copy node that copies values form one container to another according to their tensor access. More...
class	TensorCopyNodeSerializer
class	ElementWiseDataflowTensorNode
	Defined by each element of the output tensor (defined by shape) can be defined independently of any other output. More...
class	BaseElementWiseDataflowTensorNodeSerializer
class	SimpleElementWiseDataflowTensorNodeSerializer
class	AbsNode
class	AddNode
class	CastNode
class	CMathTensorNode
class	CMathTensorNodeSerializer
class	DivNode
class	ErfNode
class	ExpNode
class	FillNode
class	GELUNode
	Applies the Gaussion Error Linear Units function. More...
class	GELUNodeSerializer
class	LogicalNotNode
class	MaximumNode
class	MinimumNode
class	MulNode
class	PowNode
class	ReLUNode
class	RsqrtNode
class	SigmoidNode
class	SqrtNode
class	SubNode
class	TanhNode
class	TaskletTensorNode
class	TaskletTensorNodeSerializer
class	EluNode
	Computes Y = X < 0 ? More...
class	EluNodeSerializer
class	EmbeddingNode
	Embedding lookup node implementing aten.embedding(weight, indices). More...
class	EmbeddingNodeSerializer
class	EmbeddingRenormNode
	In-place embedding renormalization implementing aten.embedding_renorm_. More...
class	EmbeddingRenormNodeSerializer
class	IndexNode
	Tensor advanced-indexing node. More...
class	IndexNodeSerializer
class	LayerNormNode
	Applies layer normalization over the trailing noramlized_shape dimensions of the input. More...
class	LayerNormNodeSerializer
class	LeakyReLUNode
	Computes Y = X > 0 ? More...
class	LeakyReLUNodeSerializer
class	MatMulNode
	Tensor matrix multiplication following ONNX MatMul operator specification. More...
class	MatMulNodeSerializer
	Serializer for MatMulNode. More...
class	MatMulNaiveExpander
class	MatMulBlasExpander
class	PoolingNode
	N-dimensional pooling operation. More...
class	PoolingNodeSerializer
	Serializer for PoolingNode. More...
class	ReduceNode
	Base class for tensor reduction operations. More...
class	ReduceNodeSerializer
class	MaxNode
class	MeanNode
class	MinNode
class	SoftmaxNode
class	StdNode
class	SumNode
class	SpatialTensorNode
	Specialization of TensorNode for spatial operations such as Convolution and Pooling. More...
class	SpatialTensorNodeBaseSerializer
struct	InputContainerInfo
struct	MapDimension
class	TensorLayout
	The metadata associated with a addressing a tensor in elements Meant to be used with TensorNodes to describe their input's and outputs layouts and ease handling of such descriptions If the TensorType will keep existing it should also be switched to use this. More...
struct	ContractionTypes
	Element types of a contraction such as a matmul. More...
class	TensorNode
	Abstract base class for all tensor operations. More...
class	UpsampleBilinear2DNode
	2D bilinear upsampling operation More...
class	UpsampleBilinear2DNodeSerializer
	Serializer for UpsampleBilinear2DNode. More...

Typedefs
typedef SimpleElementWiseDataflowTensorNodeSerializer< AbsNode >	AbsNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< AddNode >	AddNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< CastNode >	CastNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< DivNode >	DivNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< ErfNode >	ErfNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< ExpNode >	ExpNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< FillNode >	FillNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< LogicalNotNode >	LogicalNotNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< MaximumNode >	MaximumNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< MinimumNode >	MinimumNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< MulNode >	MulNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< PowNode >	PowNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< ReLUNode >	ReLUNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< RsqrtNode >	RsqrtNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< SigmoidNode >	SigmoidNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< SqrtNode >	SqrtNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< SubNode >	SubNodeSerializer
typedef SimpleElementWiseDataflowTensorNodeSerializer< TanhNode >	TanhNodeSerializer
typedef ReduceNodeSerializer< MaxNode >	MaxNodeSerializer
typedef ReduceNodeSerializer< MeanNode >	MeanNodeSerializer
typedef ReduceNodeSerializer< MinNode >	MinNodeSerializer
typedef ReduceNodeSerializer< SoftmaxNode >	SoftmaxNodeSerializer
typedef ReduceNodeSerializer< StdNode >	StdNodeSerializer
typedef ReduceNodeSerializer< SumNode >	SumNodeSerializer
typedef types::PrimitiveType	QuantizationType

Enumerations
enum class	PoolingMode { Max , Sum , Avg }
	Pooling operation type. More...

Functions
data_flow::LibraryNodeCode	LibraryNodeType_Arange ("ml::Arange")
data_flow::LibraryNodeCode	LibraryNodeType_BatchNorm ("ml::BatchNorm")
data_flow::LibraryNodeCode	LibraryNodeType_Broadcast ("ml::Broadcast")
data_flow::LibraryNodeCode	LibraryNodeType_Clamp ("ml::Clamp")
data_flow::LibraryNodeCode	LibraryNodeType_TensorConcat ("ml::Concat")
data_flow::LibraryNodeCode	LibraryNodeType_ConditionalTensorCopy ("ml::ConditionalCopy")
data_flow::LibraryNodeCode	LibraryNodeType_ConstPadding ("ml::ConstPadding")
data_flow::LibraryNodeCode	LibraryNodeType_Conv ("ml::Conv")
data_flow::LibraryNodeCode	LibraryNodeType_TensorCopy ("ml::Copy")
data_flow::LibraryNodeCode	LibraryNodeType_Abs ("ml::Abs")
data_flow::LibraryNodeCode	LibraryNodeType_Add ("ml::Add")
data_flow::LibraryNodeCode	LibraryNodeType_Cast ("ml::Cast")
data_flow::LibraryNodeCode	LibraryNodeType_TensorCMath ("ml::CMath")
data_flow::LibraryNodeCode	LibraryNodeType_Div ("ml::Div")
data_flow::LibraryNodeCode	LibraryNodeType_Erf ("ml::Erf")
data_flow::LibraryNodeCode	LibraryNodeType_Exp ("ml::Exp")
data_flow::LibraryNodeCode	LibraryNodeType_Fill ("ml::Fill")
data_flow::LibraryNodeCode	LibraryNodeType_GELU ("ml::GELU")
data_flow::LibraryNodeCode	LibraryNodeType_LogicalNot ("ml::LogicalNot")
data_flow::LibraryNodeCode	LibraryNodeType_Maximum ("ml::Maximum")
data_flow::LibraryNodeCode	LibraryNodeType_Minimum ("ml::Minimum")
data_flow::LibraryNodeCode	LibraryNodeType_Mul ("ml::Mul")
data_flow::LibraryNodeCode	LibraryNodeType_Pow ("ml::Pow")
data_flow::LibraryNodeCode	LibraryNodeType_ReLU ("ml::ReLU")
data_flow::LibraryNodeCode	LibraryNodeType_Rsqrt ("ml::Rsqrt")
data_flow::LibraryNodeCode	LibraryNodeType_Sigmoid ("ml::Sigmoid")
data_flow::LibraryNodeCode	LibraryNodeType_Sqrt ("ml::Sqrt")
data_flow::LibraryNodeCode	LibraryNodeType_Sub ("ml::Sub")
data_flow::LibraryNodeCode	LibraryNodeType_Tanh ("ml::Tanh")
data_flow::LibraryNodeCode	LibraryNodeType_TensorTasklet ("ml::Tasklet")
data_flow::LibraryNodeCode	LibraryNodeType_Elu ("ml::Elu")
data_flow::LibraryNodeCode	LibraryNodeType_Embedding ("ml::Embedding")
data_flow::LibraryNodeCode	LibraryNodeType_EmbeddingRenorm ("ml::EmbeddingRenorm")
data_flow::LibraryNodeCode	LibraryNodeType_Index ("ml::Index")
data_flow::LibraryNodeCode	LibraryNodeType_LayerNorm ("ml::LayerNorm")
data_flow::LibraryNodeCode	LibraryNodeType_LeakyReLU ("ml::LeakyReLU")
data_flow::LibraryNodeCode	LibraryNodeType_MatMul ("ml::MatMul")
data_flow::LibraryNodeCode	LibraryNodeType_Pooling ("ml::Pooling")
data_flow::LibraryNodeCode	LibraryNodeType_Max ("ml::Max")
data_flow::LibraryNodeCode	LibraryNodeType_Mean ("ml::Mean")
data_flow::LibraryNodeCode	LibraryNodeType_Min ("ml::Min")
data_flow::LibraryNodeCode	LibraryNodeType_Softmax ("ml::Softmax")
data_flow::LibraryNodeCode	LibraryNodeType_Std ("ml::Std")
data_flow::LibraryNodeCode	LibraryNodeType_Sum ("ml::Sum")
InputContainerInfo	find_usable_input_access_node (data_flow::DataFlowGraph &dataflow, data_flow::LibraryNode &node, const std::string &input_conn)
std::string	create_temp_var (builder::StructuredSDFGBuilder &builder, const std::string &prefix, int gen, const types::IType &type)
std::vector< MapDimension >	create_maps (builder::StructuredSDFGBuilder &builder, const std::vector< symbolic::Expression > &shape, structured_control_flow::Sequence &parent_seq)
std::ostream &	operator<< (std::ostream &stream, const TensorLayout &layout)
types::PrimitiveType	deserialize_quantization (const nlohmann::json &j, const std::string &field_name, types::PrimitiveType default_value=QUANTIZATION_MATCH_INPUTS)
data_flow::LibraryNodeCode	LibraryNodeType_UpsampleBilinear2D ("ml::UpsampleBilinear2D")

Variables
constexpr QuantizationType	QUANTIZATION_MATCH_INPUTS = types::PrimitiveType::Void

Typedef Documentation

AbsNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<AbsNode> sdfg::math::tensor::AbsNodeSerializer

AddNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<AddNode> sdfg::math::tensor::AddNodeSerializer

CastNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<CastNode> sdfg::math::tensor::CastNodeSerializer

DivNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<DivNode> sdfg::math::tensor::DivNodeSerializer

ErfNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<ErfNode> sdfg::math::tensor::ErfNodeSerializer

ExpNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<ExpNode> sdfg::math::tensor::ExpNodeSerializer

FillNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<FillNode> sdfg::math::tensor::FillNodeSerializer

LogicalNotNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<LogicalNotNode> sdfg::math::tensor::LogicalNotNodeSerializer

MaximumNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<MaximumNode> sdfg::math::tensor::MaximumNodeSerializer

MaxNodeSerializer

typedef ReduceNodeSerializer<MaxNode> sdfg::math::tensor::MaxNodeSerializer

MeanNodeSerializer

typedef ReduceNodeSerializer<MeanNode> sdfg::math::tensor::MeanNodeSerializer

MinimumNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<MinimumNode> sdfg::math::tensor::MinimumNodeSerializer

MinNodeSerializer

typedef ReduceNodeSerializer<MinNode> sdfg::math::tensor::MinNodeSerializer

MulNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<MulNode> sdfg::math::tensor::MulNodeSerializer

PowNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<PowNode> sdfg::math::tensor::PowNodeSerializer

QuantizationType

typedef types::PrimitiveType sdfg::math::tensor::QuantizationType

ReLUNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<ReLUNode> sdfg::math::tensor::ReLUNodeSerializer

RsqrtNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<RsqrtNode> sdfg::math::tensor::RsqrtNodeSerializer

SigmoidNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<SigmoidNode> sdfg::math::tensor::SigmoidNodeSerializer

SoftmaxNodeSerializer

typedef ReduceNodeSerializer<SoftmaxNode> sdfg::math::tensor::SoftmaxNodeSerializer

SqrtNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<SqrtNode> sdfg::math::tensor::SqrtNodeSerializer

StdNodeSerializer

typedef ReduceNodeSerializer<StdNode> sdfg::math::tensor::StdNodeSerializer

SubNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<SubNode> sdfg::math::tensor::SubNodeSerializer

SumNodeSerializer

typedef ReduceNodeSerializer<SumNode> sdfg::math::tensor::SumNodeSerializer

TanhNodeSerializer

typedef SimpleElementWiseDataflowTensorNodeSerializer<TanhNode> sdfg::math::tensor::TanhNodeSerializer

Enumeration Type Documentation

PoolingMode

enum class sdfg::math::tensor::PoolingMode

strong

Pooling operation type.

Enumerator
Max	Max pooling: output = max(window).
Sum	Sum pooling: output = sum(window).
Avg	Average pooling: output = sum(window) / window_size.

Function Documentation

create_maps()

std::vector< MapDimension > sdfg::math::tensor::create_maps	(	builder::StructuredSDFGBuilder &	builder,
		const std::vector< symbolic::Expression > &	shape,
		structured_control_flow::Sequence &	parent_seq )

create_temp_var()

std::string sdfg::math::tensor::create_temp_var	(	builder::StructuredSDFGBuilder &	builder,
		const std::string &	prefix,
		int	gen,
		const types::IType &	type )

deserialize_quantization()

types::PrimitiveType sdfg::math::tensor::deserialize_quantization	(	const nlohmann::json &	j,
		const std::string &	field_name,
		types::PrimitiveType	default_value = QUANTIZATION_MATCH_INPUTS )

find_usable_input_access_node()

InputContainerInfo sdfg::math::tensor::find_usable_input_access_node	(	data_flow::DataFlowGraph &	dataflow,
		data_flow::LibraryNode &	node,
		const std::string &	input_conn )

Deprecated

not compatible with new expansion scheme

LibraryNodeType_Abs()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Abs ( "ml::Abs" )

inline

LibraryNodeType_Add()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Add ( "ml::Add" )

inline

LibraryNodeType_Arange()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Arange ( "ml::Arange" )

inline

LibraryNodeType_BatchNorm()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_BatchNorm ( "ml::BatchNorm" )

inline

LibraryNodeType_Broadcast()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Broadcast ( "ml::Broadcast" )

inline

LibraryNodeType_Cast()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Cast ( "ml::Cast" )

inline

LibraryNodeType_Clamp()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Clamp ( "ml::Clamp" )

inline

LibraryNodeType_ConditionalTensorCopy()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_ConditionalTensorCopy ( "ml::ConditionalCopy" )

inline

LibraryNodeType_ConstPadding()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_ConstPadding ( "ml::ConstPadding" )

inline

LibraryNodeType_Conv()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Conv ( "ml::Conv" )

inline

LibraryNodeType_Div()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Div ( "ml::Div" )

inline

LibraryNodeType_Elu()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Elu ( "ml::Elu" )

inline

LibraryNodeType_Embedding()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Embedding ( "ml::Embedding" )

inline

LibraryNodeType_EmbeddingRenorm()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_EmbeddingRenorm ( "ml::EmbeddingRenorm" )

inline

LibraryNodeType_Erf()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Erf ( "ml::Erf" )

inline

LibraryNodeType_Exp()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Exp ( "ml::Exp" )

inline

LibraryNodeType_Fill()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Fill ( "ml::Fill" )

inline

LibraryNodeType_GELU()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_GELU ( "ml::GELU" )

inline

LibraryNodeType_Index()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Index ( "ml::Index" )

inline

LibraryNodeType_LayerNorm()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_LayerNorm ( "ml::LayerNorm" )

inline

LibraryNodeType_LeakyReLU()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_LeakyReLU ( "ml::LeakyReLU" )

inline

LibraryNodeType_LogicalNot()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_LogicalNot ( "ml::LogicalNot" )

inline

LibraryNodeType_MatMul()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_MatMul ( "ml::MatMul" )

inline

LibraryNodeType_Max()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Max ( "ml::Max" )

inline

LibraryNodeType_Maximum()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Maximum ( "ml::Maximum" )

inline

LibraryNodeType_Mean()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Mean ( "ml::Mean" )

inline

LibraryNodeType_Min()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Min ( "ml::Min" )

inline

LibraryNodeType_Minimum()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Minimum ( "ml::Minimum" )

inline

LibraryNodeType_Mul()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Mul ( "ml::Mul" )

inline

LibraryNodeType_Pooling()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Pooling ( "ml::Pooling" )

inline

LibraryNodeType_Pow()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Pow ( "ml::Pow" )

inline

LibraryNodeType_ReLU()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_ReLU ( "ml::ReLU" )

inline

LibraryNodeType_Rsqrt()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Rsqrt ( "ml::Rsqrt" )

inline

LibraryNodeType_Sigmoid()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Sigmoid ( "ml::Sigmoid" )

inline

LibraryNodeType_Softmax()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Softmax ( "ml::Softmax" )

inline

LibraryNodeType_Sqrt()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Sqrt ( "ml::Sqrt" )

inline

LibraryNodeType_Std()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Std ( "ml::Std" )

inline

LibraryNodeType_Sub()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Sub ( "ml::Sub" )

inline

LibraryNodeType_Sum()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Sum ( "ml::Sum" )

inline

LibraryNodeType_Tanh()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_Tanh ( "ml::Tanh" )

inline

LibraryNodeType_TensorCMath()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_TensorCMath ( "ml::CMath" )

inline

LibraryNodeType_TensorConcat()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_TensorConcat ( "ml::Concat" )

inline

LibraryNodeType_TensorCopy()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_TensorCopy ( "ml::Copy" )

inline

LibraryNodeType_TensorTasklet()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_TensorTasklet ( "ml::Tasklet" )

inline

LibraryNodeType_UpsampleBilinear2D()

data_flow::LibraryNodeCode sdfg::math::tensor::LibraryNodeType_UpsampleBilinear2D ( "ml::UpsampleBilinear2D" )

inline

operator<<()

std::ostream & sdfg::math::tensor::operator<<	(	std::ostream &	stream,
		const TensorLayout &	layout )

Variable Documentation

QUANTIZATION_MATCH_INPUTS

QuantizationType sdfg::math::tensor::QUANTIZATION_MATCH_INPUTS = types::PrimitiveType::Void

constexpr