ONE - On-device Neural Engine
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KernelGeneratorBase.h
Go to the documentation of this file.
1
/*
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* Copyright (c) 2023 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_KERNEL_GENERATOR_BASE_H__
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#define __ONERT_BACKEND_TRAIN_KERNEL_GENERATOR_BASE_H__
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#include <memory>
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#include "
backend/ITensorRegistry.h
"
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#include "
exec/train/TrainableFnSequence.h
"
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#include "
ir/train/TrainableGraph.h
"
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#include "
ir/train/TrainableOperationVisitor.h
"
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namespace
onert::backend::train
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{
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class
KernelGeneratorBase
:
public
ir::train::TrainableOperationVisitor
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{
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public
:
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virtual
~KernelGeneratorBase
() =
default
;
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KernelGeneratorBase
(
const
ir::train::TrainableGraph
&tgraph) :
_tgraph
{tgraph} {}
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virtual
std::unique_ptr<exec::train::TrainableFnSequence>
generate
(
ir::OperationIndex
ind) = 0;
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protected
:
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#define OP(InternalName) \
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void visit(const ir::train::operation::InternalName &) override \
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{ \
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throw std::runtime_error("KernelGenerator: NYI for operation '" #InternalName "'"); \
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}
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#define OP(InternalName) \
…
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#include "ir/train/Operations.lst"
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#undef OP
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protected
:
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const
ir::train::TrainableGraph
&
_tgraph
;
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std::unique_ptr<exec::train::ITrainableFunction>
_return_fn
;
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};
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class
KernelGeneratorBase
:
public
ir::train::TrainableOperationVisitor
{
…
};
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}
// namespace onert::backend::train
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#endif
// __ONERT_BACKEND_TRAIN_KERNEL_GENERATOR_BASE_H__
ITensorRegistry.h
TrainableFnSequence.h
TrainableGraph.h
TrainableOperationVisitor.h
onert::backend::train::KernelGeneratorBase
Definition
KernelGeneratorBase.h:31
onert::backend::train::KernelGeneratorBase::~KernelGeneratorBase
virtual ~KernelGeneratorBase()=default
onert::backend::train::KernelGeneratorBase::generate
virtual std::unique_ptr< exec::train::TrainableFnSequence > generate(ir::OperationIndex ind)=0
onert::backend::train::KernelGeneratorBase::_return_fn
std::unique_ptr< exec::train::ITrainableFunction > _return_fn
Definition
KernelGeneratorBase.h:49
onert::backend::train::KernelGeneratorBase::KernelGeneratorBase
KernelGeneratorBase(const ir::train::TrainableGraph &tgraph)
Definition
KernelGeneratorBase.h:34
onert::backend::train::KernelGeneratorBase::_tgraph
const ir::train::TrainableGraph & _tgraph
Definition
KernelGeneratorBase.h:48
onert::ir::train::TrainableGraph
Definition
TrainableGraph.h:32
onert::util::Index< uint32_t, OperationIndexTag >
onert::backend::train
Definition
Backend.h:31
onert::ir::train::TrainableOperationVisitor
Definition
TrainableOperationVisitor.h:26
runtime
onert
core
include
backend
train
KernelGeneratorBase.h
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