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

Class to fuse Mul operation with a preceding Conv. More...

#include <FuseMulWithConvPass.h>

Collaboration diagram for luci::FuseMulWithConvPass:

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 Mul operation with a preceding Conv.

Definition at line 28 of file FuseMulWithConvPass.h.

Member Function Documentation

◆ name()

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

Reimplemented from logo::Pass.

Definition at line 30 of file FuseMulWithConvPass.h.

30{ return "luci::FuseMulWithConvPass"; }

◆ run()

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

Run the pass.

Returns
false if there was nothing changed

Implements logo::Pass.

Definition at line 192 of file FuseMulWithConvPass.cpp.

193{
194 bool changed = false;
195 for (auto node : loco::active_nodes(loco::output_nodes(g)))
196 {
197 auto mul = dynamic_cast<luci::CircleMul *>(node);
198 if (not mul)
199 continue;
200
201 if (fuse_mul_with_conv(mul))
202 changed = true;
203 }
204
205 return changed;
206}
MUL in Circle.
Definition CircleMul.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
void mul(const luci_interpreter::RuntimeShape &shape, const ArithmeticParams *params, const int16_t *input1_data, const int16_t *input2_data, int8_t *output_data)
bool fuse_mul_with_conv(luci::CircleMul *mul)

References loco::active_nodes(), luci::fuse_mul_with_conv(), and loco::output_nodes().

Referenced by package.infer.session::inference().


The documentation for this struct was generated from the following files: