ONE - On-device Neural Engine
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exo::FuseSquaredDifferencePass Struct Referencefinal

Class to fuse SquaredDifference pattern. More...

#include <FuseSquaredDifferencePass.h>

Collaboration diagram for exo::FuseSquaredDifferencePass:

Public Member Functions

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

Detailed Description

Class to fuse SquaredDifference pattern.

<BEFORE>

A — TFLSub — TFLMul — C / \ / B -— --—

<AFTER>

A — TFLSquaredDifference — C / B -—

Definition at line 40 of file FuseSquaredDifferencePass.h.

Member Function Documentation

◆ name()

const char * exo::FuseSquaredDifferencePass::name ( void  ) const
inlinefinalvirtual

Reimplemented from logo::Pass.

Definition at line 42 of file FuseSquaredDifferencePass.h.

42{ return "exo::FuseSquaredDifferencePass"; }

◆ run()

bool exo::FuseSquaredDifferencePass::run ( loco::Graph graph)
finalvirtual

Run the pass.

Returns
false if there was nothing changed

Implements logo::Pass.

Definition at line 71 of file FuseSquaredDifferencePass.cpp.

72{
73 bool changed = false;
74 for (auto node : loco::active_nodes(loco::output_nodes(g)))
75 {
76 if (auto mul = as_candidate(node))
77 {
78 fuse_squared_difference(mul);
79 changed = true;
80 }
81 }
82
83 return changed;
84}
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: