ONE - On-device Neural Engine
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luci::FoldSparseToDensePass Struct Referencefinal

Class to fold SparseToDense to a constant tensor. More...

#include <FoldSparseToDensePass.h>

Collaboration diagram for luci::FoldSparseToDensePass:

Public Member Functions

const char * name (void) const final
 
bool run (loco::Graph *g) final
 
- Public Member Functions inherited from logo::Pass
virtual ~Pass ()=default
 

Detailed Description

Class to fold SparseToDense to a constant tensor.

Definition at line 29 of file FoldSparseToDensePass.h.

Member Function Documentation

◆ name()

const char * luci::FoldSparseToDensePass::name ( void  ) const
inlinefinalvirtual

Reimplemented from logo::Pass.

Definition at line 31 of file FoldSparseToDensePass.h.

31{ return "luci::FoldSparseToDensePass"; }

◆ run()

bool luci::FoldSparseToDensePass::run ( loco::Graph g)
finalvirtual

Constant Folding for SparseToDense Op

Implements logo::Pass.

Definition at line 126 of file FoldSparseToDensePass.cpp.

127{
128 bool changed = false;
129 for (auto node : loco::active_nodes(loco::output_nodes(g)))
130 {
131 if (auto stod = dynamic_cast<luci::CircleSparseToDense *>(node))
132 {
133 if (fold_sparse_to_dense(stod))
134 changed = true;
135 }
136 }
137
138 return changed;
139}
SPARSE_TO_DENSE in Circle.
std::set< loco::Node * > active_nodes(const std::vector< loco::Node * > &roots)
Enumerate all the nodes required to compute "roots".
std::vector< Node * > output_nodes(Graph *)
Definition Graph.cpp:101

References loco::active_nodes(), and loco::output_nodes().

Referenced by package.infer.session::inference().


The documentation for this struct was generated from the following files: