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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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default |
Definition at line 985 of file Nodes.h.
Referenced by TensorBroadcastLayer::operator()().