ONE - On-device Neural Engine
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Duplicate elements along specified axes. More...
#include <Nodes.h>
Data Structures | |
class | Mapping |
Public Member Functions | |
TensorBroadcast ()=default | |
Node * | input (void) const |
void | input (Node *node) |
Mapping * | mapping (void) |
const Mapping * | mapping (void) const |
Public Member Functions inherited from loco::CanonicalNodeDef< CanonicalOpcode::TensorBroadcast, FixedArity< 1 >::Mixin > | |
virtual | ~CanonicalNodeDef ()=default |
uint32_t | opnum (void) const final |
CanonicalOpcode | opcode (void) const final |
Public Member Functions inherited from loco::CanonicalNode | |
virtual | ~CanonicalNode ()=default |
const Dialect * | dialect (void) const final |
Return "Dialect" identifier that this node belongs to. | |
template<typename T > | |
T | accept (CanonicalNodeVisitorBase< T > *) const |
template<typename T > | |
T | accept (CanonicalNodeMutableVisitorBase< T > *) |
Public Member Functions inherited from loco::Node | |
Node ()=default | |
Node (const Node &)=delete | |
Node (Node &&)=delete | |
virtual | ~Node () |
Graph * | graph (void) |
const Graph * | graph (void) const |
virtual uint32_t | arity (void) const =0 |
Return the number of arguments. | |
virtual Node * | arg (uint32_t N) const =0 |
Access N-th argument node. | |
virtual void | drop (void)=0 |
Drop all the reference of arguments. | |
Public Member Functions inherited from loco::AnnotatedItem< NodeAnnotation > | |
AnnotatedItem ()=default | |
virtual | ~AnnotatedItem ()=default |
const T * | annot (void) const |
Retrieve a stored annotation of type T. | |
void | annot (std::unique_ptr< T > &&p) |
Attach or remove a new annotation of type T. | |
Duplicate elements along specified axes.
TensorBroadcast takes a tensor and produces another tensor with the same rank but HIGHER dimensionality.
To create such a tensor. TensorBroadcast duplicates the element along the specified axes.
It is possible to control the degree of duplication with a partial map from TensorAxis to Dimension.
TODO Explain the constraints (The dimension of inputs for specified axes SHOULD BE 1). TODO Explain the operation semantics
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Definition at line 985 of file Nodes.h.
Referenced by TensorBroadcastLayer::operator()().
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