ONE - On-device Neural Engine
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luci::TransformMinReluToRelu6Pass Struct Referencefinal

Class to transform Relu(Minimum(input, 6)) to Relu6. More...

#include <TransformMinReluToRelu6Pass.h>

Collaboration diagram for luci::TransformMinReluToRelu6Pass:

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 transform Relu(Minimum(input, 6)) to Relu6.

Definition at line 28 of file TransformMinReluToRelu6Pass.h.

Member Function Documentation

◆ name()

const char * luci::TransformMinReluToRelu6Pass::name ( void  ) const
inlinefinalvirtual

Reimplemented from logo::Pass.

Definition at line 30 of file TransformMinReluToRelu6Pass.h.

30{ return "luci::TransformMinReluToRelu6Pass"; }

◆ run()

bool luci::TransformMinReluToRelu6Pass::run ( loco::Graph graph)
finalvirtual

Run the pass.

Returns
false if there was nothing changed

Implements logo::Pass.

Definition at line 107 of file TransformMinReluToRelu6Pass.cpp.

108{
109 bool changed = false;
110
111 for (auto node : loco::active_nodes(loco::output_nodes(g)))
112 {
113 if (auto relu = dynamic_cast<luci::CircleRelu *>(node))
114 {
115 if (transform_min_relu_pattern<loco::DataType::FLOAT32>(relu))
116 changed = true;
117 }
118 }
119
120 return changed;
121}
RELU in Circle.
Definition CircleRelu.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: