ONE - On-device Neural Engine
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BackendContext.cc
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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#include "BackendContext.h"
18
19#include "KernelGenerator.h"
21
23{
24
26
28{
29 FunctionMap ret;
30
31 for (auto &&op_ind : _data.op_order)
32 {
33 auto fn_seq = kernel_gen->generate(op_ind);
34 ret.emplace(op_ind, std::move(fn_seq));
35 }
36
37 basic::initConsts(*this);
38
39 // NOTE For memory optimization, we want to free some operand data
40 const_cast<ir::Graph *>(graph())->operands().iterate(
41 [&](const ir::OperandIndex &, ir::Operand &obj) { obj.releaseData(); });
42
43 for (auto &&it : ret)
44 {
45 auto &fn_seq = it.second;
46 fn_seq->iterate([&](exec::IFunction &ifunc) { ifunc.prepare(); });
47 }
48
49 return ret;
50}
51
52} // namespace onert::backend::builtin
const ir::Graph * graph() const
std::shared_ptr< KernelGenerator > kernel_gen
ITensorRegistry * genTensors() override
virtual void prepare()
Definition IFunction.h:28
ITensorRegistry * genTensors(const std::shared_ptr< T_TensorBuilder > &tensor_builder, const ir::Graph &graph, const util::Set< ir::OperandIndex > &external_operands, const std::shared_ptr< ITensorRegistry > &tensor_registry, const std::vector< onert::ir::OperationIndex > &op_order, const ir::OperandIndexMap< ir::OperandIndex > &shared_memory_operand_idx)
void initConsts(const ir::Operands &operands, const util::Set< ir::OperandIndex > &external_operands, ITensorRegistry *tensor_registry, const ir::OperandIndexMap< ir::OperandIndex > &shared_memory_operands_map)
std::unordered_map< ir::OperationIndex, std::unique_ptr< exec::FunctionSequence > > FunctionMap
std::vector< onert::ir::OperationIndex > op_order