ONE - On-device Neural Engine
Toggle main menu visibility
Main Page
Related Pages
Topics
Namespaces
Namespace List
Namespace Members
All
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
y
z
Functions
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
z
Variables
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
w
Typedefs
a
b
c
d
e
f
g
h
i
k
l
m
n
o
p
q
r
s
t
u
v
w
Enumerations
a
b
c
d
e
f
i
k
l
m
n
o
p
q
r
s
t
u
Enumerator
a
b
c
d
e
f
g
i
k
l
m
n
o
p
r
s
u
v
w
y
Data Structures
Data Structures
Data Structure Index
Class Hierarchy
Data Fields
All
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
~
Functions
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
~
Variables
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
Typedefs
a
b
c
d
e
f
g
h
i
k
l
m
n
o
p
q
r
s
t
u
v
w
z
Enumerations
a
c
d
e
f
g
i
k
l
m
o
p
r
s
t
w
Enumerator
a
b
c
d
e
f
g
h
i
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
Related Symbols
a
b
c
d
e
f
g
h
i
m
n
o
p
r
s
t
u
v
w
Files
File List
Globals
All
_
a
b
c
d
e
f
g
h
i
k
l
m
n
o
p
q
r
s
t
u
v
w
Functions
a
b
c
d
e
f
g
h
i
l
m
n
o
p
q
r
s
t
u
v
Variables
_
b
c
d
f
g
i
k
m
n
o
p
s
t
v
Typedefs
a
d
f
g
i
l
m
n
o
s
t
u
v
Enumerations
f
g
n
o
p
r
Enumerator
a
k
n
Macros
_
a
b
c
d
e
f
g
h
i
k
l
m
n
o
p
q
r
s
t
u
v
w
Examples
▼
ONE - On-device Neural Engine
How to Add a New Operation
How to Build Compiler
How to Build Package
How to Build Runtime with GBS for Tizen/RPi4
How to Build Using Prebuilt Docker Image
How to Build Runtime
How to Contribute
How to Cross-build Runtime for AARCH64
How to Cross-build Runtime for Android
How to Cross-build Runtime for ARM
How To Introduce a New Operation Into Compiler
How To Introduce a New Operation Into Runtime
How to Make an Application with Runtime
How to Remote Debugging with Visual Studio Code
How to Run Package
How to Use API
How to Use NNAPI Binding
How to Use NNFW API
How to Use NNFW PYTHON API
How to Use Specific Backend during Inference
Background
Overall Architecture
Roadmap
Supported Operations
Workgroup
API
Backend API
Compute
Controlflow Operations
Core
Executors
Heterogeneous Execution
On-Device Compilation
Supported Operations and backend
Training
Training a simple CNN model on MNIST using ONERT
Training MobileNetV2 on ImageNet Dataset using ONERT
Transfer Learning
►
Topics
►
Namespaces
►
Data Structures
▼
Files
►
File List
►
Globals
►
Examples
•
All
Data Structures
Namespaces
Files
Functions
Variables
Typedefs
Enumerations
Enumerator
Friends
Macros
Modules
Pages
Loading...
Searching...
No Matches
L2Pool2D.h
Go to the documentation of this file.
1
/*
2
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
3
*
4
* Licensed under the Apache License, Version 2.0 (the "License");
5
* you may not use this file except in compliance with the License.
6
* You may obtain a copy of the License at
7
*
8
* http://www.apache.org/licenses/LICENSE-2.0
9
*
10
* Unless required by applicable law or agreed to in writing, software
11
* distributed under the License is distributed on an "AS IS" BASIS,
12
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
* See the License for the specific language governing permissions and
14
* limitations under the License.
15
*/
16
17
#ifndef LUCI_INTERPRETER_KERNELS_L2POOL2D_H
18
#define LUCI_INTERPRETER_KERNELS_L2POOL2D_H
19
20
#include "
core/Kernel.h
"
21
#include "
core/KernelParams.h
"
22
23
#include <memory>
24
25
namespace
luci_interpreter
26
{
27
namespace
kernels
28
{
29
30
class
L2Pool2D
:
public
KernelWithParams
<Pool2DParams>
31
{
32
public
:
33
L2Pool2D
(
const
Tensor
*
input
,
Tensor
*
output
,
const
Pool2DParams
&
params
);
34
35
const
Tensor
*
input
()
const
{
return
_inputs
[0]; }
36
Tensor
*
output
()
const
{
return
_outputs
[0]; }
37
38
void
configure
()
override
;
39
void
execute
()
const override
;
40
41
private
:
42
int32_t _padding_height = 0;
43
int32_t _padding_width = 0;
44
};
30
class
L2Pool2D
:
public
KernelWithParams
<Pool2DParams> {
…
};
45
46
}
// namespace kernels
47
}
// namespace luci_interpreter
48
49
#endif
// LUCI_INTERPRETER_KERNELS_L2POOL2D_H
Kernel.h
KernelParams.h
luci_interpreter::Kernel::_inputs
const std::vector< const Tensor * > _inputs
Definition
Kernel.h:52
luci_interpreter::Kernel::_outputs
const std::vector< Tensor * > _outputs
Definition
Kernel.h:53
luci_interpreter::KernelWithParams
Definition
Kernel.h:58
luci_interpreter::KernelWithParams< Pool2DParams >::params
const Pool2DParams & params() const
Definition
Kernel.h:67
luci_interpreter::Tensor
Definition
Tensor.h:101
luci_interpreter::kernels::L2Pool2D
Definition
L2Pool2D.h:31
luci_interpreter::kernels::L2Pool2D::input
const Tensor * input() const
Definition
L2Pool2D.h:35
luci_interpreter::kernels::L2Pool2D::execute
void execute() const override
Definition
L2Pool2D.cpp:62
luci_interpreter::kernels::L2Pool2D::output
Tensor * output() const
Definition
L2Pool2D.h:36
luci_interpreter::kernels::L2Pool2D::configure
void configure() override
Definition
L2Pool2D.cpp:37
luci_interpreter
Definition
BuddyMemoryManager.h:22
luci_interpreter::Pool2DParams
Definition
KernelParams.h:167
compiler
luci-interpreter
src
kernels
L2Pool2D.h
Generated by
1.9.8