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

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

#include <FoldSqueezePass.h>

Collaboration diagram for luci::FoldSqueezePass:

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 Squeeze to a constant tensor.

Definition at line 29 of file FoldSqueezePass.h.

Member Function Documentation

◆ name()

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

Reimplemented from logo::Pass.

Definition at line 31 of file FoldSqueezePass.h.

31{ return "luci::FoldSqueezePass"; }

◆ run()

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

Constant Folding for Squeeze Op

Implements logo::Pass.

Definition at line 106 of file FoldSqueezePass.cpp.

107{
108 bool changed = false;
109 for (auto node : loco::active_nodes(loco::output_nodes(g)))
110 {
111 if (auto squeeze = dynamic_cast<luci::CircleSqueeze *>(node))
112 {
113 if (fold_squeeze(squeeze))
114 changed = true;
115 }
116 }
117
118 return changed;
119}
SQUEEZE 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: