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

Class to decompose HardSwish to Add, Mul and Relu6. More...

#include <DecomposeHardSwishPass.h>

Collaboration diagram for luci::DecomposeHardSwishPass:

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 decompose HardSwish to Add, Mul and Relu6.

Definition at line 28 of file DecomposeHardSwishPass.h.

Member Function Documentation

◆ name()

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

Reimplemented from logo::Pass.

Definition at line 30 of file DecomposeHardSwishPass.h.

30{ return "luci::DecomposeHardSwishPass"; }

◆ run()

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

Run the pass.

Returns
false if there was nothing changed

Implements logo::Pass.

Definition at line 128 of file DecomposeHardSwishPass.cpp.

129{
130 bool changed = false;
131
132 for (auto node : loco::active_nodes(loco::output_nodes(g)))
133 {
134 if (auto hardswish = dynamic_cast<luci::CircleHardSwish *>(node))
135 {
136 if (decompose_hardswish(hardswish))
137 changed = true;
138 }
139 }
140
141 return changed;
142}
HardSwish 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: