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

Class to resolve certain custom op of subgraph into matmul op in circle schema. More...

#include <ResolveCustomOpMatMulPass.h>

Collaboration diagram for luci::ResolveCustomOpMatMulPass:

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 resolve certain custom op of subgraph into matmul op in circle schema.

Definition at line 28 of file ResolveCustomOpMatMulPass.h.

Member Function Documentation

◆ name()

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

Reimplemented from logo::Pass.

Definition at line 30 of file ResolveCustomOpMatMulPass.h.

30{ return "luci::ResolveCustomOpMatMulPass"; }

◆ run()

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

Run the pass.

Returns
false if there was nothing changed

Implements logo::Pass.

Definition at line 136 of file ResolveCustomOpMatMulPass.cpp.

137{
138 bool changed = false;
139 for (auto node : loco::active_nodes(loco::output_nodes(g)))
140 {
141 auto cop = dynamic_cast<luci::CircleCustom *>(node);
142 if (not cop)
143 continue;
144
145 if (cop->custom_code() != "MatMul")
146 continue;
147
148 if (!resolve_matmul(cop))
149 continue;
150
151 changed = true;
152 }
153
154 return changed;
155}
CUSTOM 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: