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

Class to fuse Mean operation with a preceding Transpose. More...

#include <FuseTransposeWithMeanPass.h>

Collaboration diagram for luci::FuseTransposeWithMeanPass:

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 Mean operation with a preceding Transpose.

Definition at line 28 of file FuseTransposeWithMeanPass.h.

Member Function Documentation

◆ name()

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

Reimplemented from logo::Pass.

Definition at line 30 of file FuseTransposeWithMeanPass.h.

30{ return "luci::FuseTransposeWithMeanPass"; }

◆ run()

bool luci::FuseTransposeWithMeanPass::run ( loco::Graph graph)
finalvirtual

Run the pass.

Returns
false if there was nothing changed

Implements logo::Pass.

Definition at line 148 of file FuseTransposeWithMeanPass.cpp.

149{
150 bool changed = false;
151 for (auto node : loco::active_nodes(loco::output_nodes(g)))
152 {
153 auto mean = dynamic_cast<luci::CircleMean *>(node);
154 if (not mean)
155 continue;
156
157 if (fuse_transpose_with_mean(mean))
158 changed = true;
159 }
160
161 return changed;
162}
MEAN in Circle.
Definition CircleMean.h:32
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: