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

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

#include <FoldMulPass.h>

Collaboration diagram for luci::FoldMulPass:

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 Mul to a constant tensor.

Definition at line 29 of file FoldMulPass.h.

Member Function Documentation

◆ name()

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

Reimplemented from logo::Pass.

Definition at line 31 of file FoldMulPass.h.

31{ return "luci::FoldMulPass"; }

◆ run()

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

Constant Folding for Mul Op

Implements logo::Pass.

Definition at line 112 of file FoldMulPass.cpp.

113{
114 bool changed = false;
115 for (auto node : loco::active_nodes(loco::output_nodes(g)))
116 {
117 if (auto mul = dynamic_cast<luci::CircleMul *>(node))
118 {
119 if (fold_mul(mul))
120 changed = true;
121 }
122 }
123
124 return changed;
125}
MUL in Circle.
Definition CircleMul.h:34
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: