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

Class to fuse Batch Normalization into CircleConv. More...

#include <FuseBatchNormWithConvPass.h>

Collaboration diagram for luci::FuseBatchNormWithConvPass:

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 Batch Normalization into CircleConv.

Definition at line 28 of file FuseBatchNormWithConvPass.h.

Member Function Documentation

◆ name()

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

Reimplemented from logo::Pass.

Definition at line 30 of file FuseBatchNormWithConvPass.h.

30{ return "luci::FuseBatchNormWithConvPass"; }

◆ run()

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

Run the pass.

Returns
false if there was nothing changed

Implements logo::Pass.

Definition at line 181 of file FuseBatchNormWithConvPass.cpp.

182{
183 bool changed = false;
184 for (auto node : loco::active_nodes(loco::output_nodes(g)))
185 {
186 if (auto add = dynamic_cast<luci::CircleAdd *>(node))
187 {
188 if (fused_batch_norm_with_conv(add))
189 changed = true;
190 }
191 }
192
193 return changed;
194}
ADD in Circle.
Definition CircleAdd.h:34
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: