tenzr::ConvolutionNode¶

#include <node.h>

Inherits from tenzr::Node, std::enable_shared_from_this< Node >

Public Functions¶

	Name
	ConvolutionNode(std::shared_ptr< Node > input, std::shared_ptr< Node > kernel, std::vector< int64_t > window_strides, std::vector< int64_t > lhs_dilation, std::vector< int64_t > rhs_dilation, std::vector< int64_t > padding_low, std::vector< int64_t > padding_high)
virtual std::string	OpName() const override StableHLO-style name of this node's operation.
const std::shared_ptr< Node > &	Input() const The input operand.
const std::shared_ptr< Node > &	Kernel() const The convolution kernel.
const std::vector< int64_t > &	WindowStrides() const Window strides per spatial dimension.
const std::vector< int64_t > &	LhsDilation() const Dilation of the left-hand operand per dimension.
const std::vector< int64_t > &	RhsDilation() const Dilation of the right-hand operand per dimension.
const std::vector< int64_t > &	PaddingLow() const Low edge padding per dimension.
const std::vector< int64_t > &	PaddingHigh() const High edge padding per dimension.

Additional inherited members¶

Public Functions inherited from tenzr::Node

	Name
	Node(NodeKind kind, Shape shape, DType dtype, ShardingSpec sharding =ShardingSpec::Replicated())
virtual	~Node() =default
NodeKind	Kind() const The node's operation kind.
const Shape &	shape() const The node's output shape.
DType	Dtype() const The node's output dtype.
const ShardingSpec &	Sharding() const The node's sharding spec.
void	SetSharding(ShardingSpec spec) Replace the sharding spec.
const StridedLayout &	Layout() const The node's strided layout.
void	SetLayout(StridedLayout layout) Replace the layout.
const std::vector< std::shared_ptr< Node > > &	Inputs() const The node's input operands.
uint64_t	Id() const The node's unique id.

Protected Functions inherited from tenzr::Node

	Name
uint64_t	NextId()

Protected Attributes inherited from tenzr::Node

	Name
NodeKind	kind_
Shape	shape_
DType	dtype_
ShardingSpec	sharding_
StridedLayout	layout_
std::vector< std::shared_ptr< Node > >	inputs_
uint64_t	id_

Detailed Description¶

class tenzr::ConvolutionNode;

N-dimensional convolution of an input with a kernel, parameterized by window strides, dilations, and edge padding.

Public Functions Documentation¶

function ConvolutionNode¶

ConvolutionNode(
    std::shared_ptr< Node > input,
    std::shared_ptr< Node > kernel,
    std::vector< int64_t > window_strides,
    std::vector< int64_t > lhs_dilation,
    std::vector< int64_t > rhs_dilation,
    std::vector< int64_t > padding_low,
    std::vector< int64_t > padding_high
)

Parameters:

input NCHW input node.
kernel OIHW kernel node.
window_strides Window strides.
lhs_dilation Input dilation.
rhs_dilation Kernel dilation.
padding_low Low edge padding.
padding_high High edge padding.

Create an NCHW convolution node, inferring the output spatial dimensions.

function OpName¶

inline virtual std::string OpName() const override

StableHLO-style name of this node's operation.

Reimplements: tenzr::Node::OpName

function Input¶

inline const std::shared_ptr< Node > & Input() const

The input operand.

function Kernel¶

inline const std::shared_ptr< Node > & Kernel() const

The convolution kernel.

function WindowStrides¶

inline const std::vector< int64_t > & WindowStrides() const

Window strides per spatial dimension.

function LhsDilation¶

inline const std::vector< int64_t > & LhsDilation() const

Dilation of the left-hand operand per dimension.

function RhsDilation¶

inline const std::vector< int64_t > & RhsDilation() const

Dilation of the right-hand operand per dimension.

function PaddingLow¶

inline const std::vector< int64_t > & PaddingLow() const

Low edge padding per dimension.

function PaddingHigh¶

inline const std::vector< int64_t > & PaddingHigh() const

High edge padding per dimension.