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BinaryArithmeticLayer.h
Go to the documentation of this file.
1
/*
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* Copyright (c) 2024 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_TRAIN_OPS_BINARYARITHMETICLAYER_H__
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#define __ONERT_BACKEND_TRAIN_OPS_BINARYARITHMETICLAYER_H__
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#include <ops/BinaryArithmeticLayer.h>
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#include <
backend/IPortableTensor.h
>
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#include "../Tensor.h"
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#include <
exec/train/ITrainableFunction.h
>
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namespace
onert::backend::train::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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enum class
ArithmeticType
{
…
};
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class
BinaryArithmeticLayer
:
public
::onert::exec::train::ITrainableFunction
,
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public
cpu::ops::BinaryArithmeticLayer
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{
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public
:
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BinaryArithmeticLayer
();
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public
:
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void
configureBackward
(
IPortableTensor
*back_prop_lhs,
IPortableTensor
*back_prop_rhs,
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const
IPortableTensor
*back_prop_output,
const
ir::Activation
activation,
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const
ArithmeticType
arithmetic_type);
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void
forward
(
bool
training)
override
;
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void
backward
()
override
;
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private
:
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IPortableTensor
*_back_prop_lhs;
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IPortableTensor
*_back_prop_rhs;
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const
IPortableTensor
*_back_prop_output;
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ArithmeticType
_arithmetic_type;
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ir::Activation
_activation;
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std::unique_ptr<BackPropTensor> _act_back_prop_output;
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};
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class
BinaryArithmeticLayer
:
public
::onert::exec::train::ITrainableFunction
, {
…
};
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}
// namespace onert::backend::train::ops
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#endif
// __ONERT_BACKEND_TRAIN_OPS_BINARYARITHMETICLAYER_H__
IPortableTensor.h
ITrainableFunction.h
onert::backend::IPortableTensor
A tensor class that is portable for other backends.
Definition
IPortableTensor.h:37
onert::backend::cpu::ops::BinaryArithmeticLayer
Definition
BinaryArithmeticLayer.h:37
onert::backend::train::ops::BinaryArithmeticLayer
Definition
BinaryArithmeticLayer.h:39
onert::backend::train::ops::BinaryArithmeticLayer::configureBackward
void configureBackward(IPortableTensor *back_prop_lhs, IPortableTensor *back_prop_rhs, const IPortableTensor *back_prop_output, const ir::Activation activation, const ArithmeticType arithmetic_type)
Definition
BinaryArithmeticLayer.cc:38
onert::backend::train::ops::BinaryArithmeticLayer::backward
void backward() override
Definition
BinaryArithmeticLayer.cc:59
onert::backend::train::ops::BinaryArithmeticLayer::forward
void forward(bool training) override
Definition
BinaryArithmeticLayer.cc:57
onert::backend::train::ops::BinaryArithmeticLayer::BinaryArithmeticLayer
BinaryArithmeticLayer()
Definition
BinaryArithmeticLayer.cc:30
onert::exec::train::ITrainableFunction
Definition
ITrainableFunction.h:29
onert::backend::train::ops
Definition
BackPropAccumulator.cc:25
onert::backend::train::ops::ArithmeticType
ArithmeticType
Definition
BinaryArithmeticLayer.h:30
onert::backend::train::ops::ArithmeticType::kMul
@ kMul
onert::backend::train::ops::ArithmeticType::kDiv
@ kDiv
onert::backend::train::ops::ArithmeticType::kAdd
@ kAdd
onert::backend::train::ops::ArithmeticType::kSub
@ kSub
onert::ir::Activation
Activation
Definition
InternalType.h:26
runtime
onert
backend
train
ops
BinaryArithmeticLayer.h
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