ONE - On-device Neural Engine
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BinaryArithmeticLayer.h
Go to the documentation of this file.
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/*
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* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef __ONERT_BACKEND_CPU_OPS_BINARYARITHMETICLAYER_H__
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#define __ONERT_BACKEND_CPU_OPS_BINARYARITHMETICLAYER_H__
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#include <
backend/IPortableTensor.h
>
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#include "
OperationUtils.h
"
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#include <
exec/IFunction.h
>
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namespace
onert
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{
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namespace
backend
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{
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namespace
cpu
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{
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namespace
ops
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{
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enum class
ArithmeticType
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{
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kAdd
,
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kSub
,
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kMul
,
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kDiv
,
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};
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class
BinaryArithmeticLayer
:
public
::onert::exec::IFunction
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{
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public
:
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BinaryArithmeticLayer
() :
_lhs
(nullptr),
_rhs
(nullptr),
_output
(nullptr)
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{
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// DO NOTHING
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}
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public
:
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void
configure
(
const
IPortableTensor
*lhs,
const
IPortableTensor
*rhs,
IPortableTensor
*output,
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const
ir::Activation
activation,
const
ArithmeticType
arithmetic_type);
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void
run
()
override
;
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protected
:
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const
IPortableTensor
*
_lhs
;
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const
IPortableTensor
*
_rhs
;
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IPortableTensor
*
_output
;
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std::function<void(
const
IPortableTensor
*,
const
IPortableTensor
*,
IPortableTensor
*)>
_kernel
;
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};
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}
// namespace ops
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}
// namespace cpu
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}
// namespace backend
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}
// namespace onert
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#endif
// __ONERT_BACKEND_CPU_OPS_BINARYARITHMETICLAYER_H__
IFunction.h
IPortableTensor.h
onert::backend::IPortableTensor
A tensor class that is portable for other backends.
Definition
IPortableTensor.h:39
onert::backend::cpu::ops::BinaryArithmeticLayer
Definition
BinaryArithmeticLayer.h:43
onert::backend::cpu::ops::BinaryArithmeticLayer::BinaryArithmeticLayer
BinaryArithmeticLayer()
Definition
BinaryArithmeticLayer.h:45
onert::backend::cpu::ops::BinaryArithmeticLayer::run
void run() override
Definition
BinaryArithmeticLayer.cc:283
onert::backend::cpu::ops::BinaryArithmeticLayer::_kernel
std::function< void(const IPortableTensor *, const IPortableTensor *, IPortableTensor *)> _kernel
Definition
BinaryArithmeticLayer.h:61
onert::backend::cpu::ops::BinaryArithmeticLayer::_rhs
const IPortableTensor * _rhs
Definition
BinaryArithmeticLayer.h:58
onert::backend::cpu::ops::BinaryArithmeticLayer::_lhs
const IPortableTensor * _lhs
Definition
BinaryArithmeticLayer.h:57
onert::backend::cpu::ops::BinaryArithmeticLayer::configure
void configure(const IPortableTensor *lhs, const IPortableTensor *rhs, IPortableTensor *output, const ir::Activation activation, const ArithmeticType arithmetic_type)
Definition
BinaryArithmeticLayer.cc:186
onert::backend::cpu::ops::BinaryArithmeticLayer::_output
IPortableTensor * _output
Definition
BinaryArithmeticLayer.h:59
onert::exec::IFunction
Definition
IFunction.h:26
mir::ops
Definition
AbsOp.h:25
onert::backend::cpu::ops::ArithmeticType
ArithmeticType
Definition
BinaryArithmeticLayer.h:35
onert::backend::cpu::ops::ArithmeticType::kMul
@ kMul
onert::backend::cpu::ops::ArithmeticType::kDiv
@ kDiv
onert::backend::cpu::ops::ArithmeticType::kAdd
@ kAdd
onert::backend::cpu::ops::ArithmeticType::kSub
@ kSub
onert::ir::Activation
Activation
Definition
InternalType.h:28
onert
Definition
CustomKernel.cc:20
OperationUtils.h
runtime
onert
backend
cpu
ops
BinaryArithmeticLayer.h
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